Method of outputting weather/environmental information from weather/environmental sensors

Information

  • Patent Grant
  • 11150378
  • Patent Number
    11,150,378
  • Date Filed
    Wednesday, November 6, 2013
    11 years ago
  • Date Issued
    Tuesday, October 19, 2021
    3 years ago
Abstract
A method of generating individualized real-time weather and environmental information, including receiving weather or environmental condition data from weather and environmental sensors, analyzing the data received from the sensors to generate weather and environmental information, and transmitting the information to a communicator device. The method may include determining a spatial range of a sensor and/or determining if a communicator device is within close proximity of a sensor. The sensors may be mounted in fixed locations along a roadway or a railway. The sensors may be approximately equidistant.
Description
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

Not applicable.


BACKGROUND OF THE INVENTION

During recent years, the demand for detailed information, such as for example weather information, has risen sharply. Personal computers and communication devices have increased the demand for more information because of their power to gather, manipulate, transmit and receive data. As a result, specialized information and value-added services are in great demand. End users no longer desire to gather, manipulate and evaluate raw data. For instance, nowhere is this condition more apparent than with weather services across North America.


Years ago, radio and television broadcasters recognized an increasing demand for weather information from their audience, and thus increased the number of on-air weather segments as a means for increasing market ranking. Today, the demand for specific content in weather information has exceeded the ability of broadcasters to meet this demand. Virtually every facet of business and personal activities are continually influenced by the weather, good or bad.


In the United States as in most countries, a governmental agency (the National Weather Service in the United States), has the primary responsibility of generating weather products for the general public. These products, such as advisories, statements, and forecasts are generated and made available to third parties, such as broadcasters, newspapers, internet web sites, paging companies and others who, in turn, distribute them to the public. However, this chain of data custody is one way.


Today's lifestyles are fast-paced and sophisticated. Requests for detailed weather information for specific applications outnumber the governments' ability to process them. However, adhering to their mandated responsibility, the National Weather Service generates the general products for public consumption twice daily. This condition forces the public to interpret general and outdated advisories to meet their needs. Often, this interpretation is made erroneously. Even worse, these products are usually regional or national in scope, and may not apply to a particular location where various local activities are underway.


By way of example, weather warnings are broadcast by radio stations across the United States. These warnings identify certain weather impacts within a specified area. In most cases, the warning area includes one or more counties, covering dozens to hundreds of square miles. Most often, these threats (such as severe thunderstorms, tornadoes, etc.), only impact a very small zone within the warning area. These threats also move rapidly. As impacts approach specific zones, they are in fact, moving away from other zones, inside the total warning area. Essentially, the existing reporting system is insufficient to specifically identify and adequately warn of personal risk. Furthermore, if the threat is imminent, the existing system cannot and does not provide preventive measures for each user near or at the threat. Thus, by default, distant or unaffected users are placed “on alert” unnecessarily when the threat may be moving away from their location.


Another common example further clarifies the problem. A family, excited to attend the championship softball game this upcoming weekend, closely monitors the local weather forecast. All week-long the forecast has advised fair to partly cloudy weather for game day. Early on game day, the forecast changes to partly cloudy, with a thirty percent chance for late afternoon showers. The family decides to attend the game, believing that the chances for rain are below their perceived risk level. Unknown to the family at midday, some clusters of showers are intensifying, and will place dangerous lightning over the game field. While the morning weather report was not completely inaccurate, the participants and spectators are exposed to risk. If later asked, it is likely the family members did not hear or remember the weather forecast. They also failed to link their limited knowledge of the weather to their own needs and risk exposure. They did not monitor changing weather events. Most likely, they had no ability to monitor developing risk at the game. Clearly, these people were forced to interpret outdated, limited information as applied to their specific application.


Therefore, a need exists for a system to automatically and continuously provide consumer customized reports, advisories, alerts, forecasts and warnings relevant to a consumer-defined level of need or dynamic spatial location. It is to such a system that the present invention is directed.


SUMMARY OF THE INVENTION

The present invention provides an interactive advisory system and method of delivering individualized information. More specifically, the present invention relates to a broadcast network for selectively transmitting individualized output signals to remote communicator devices. The broadcast network includes a user input database, a communicator location database, an analysis unit and a communication network.


The user input database contains user-defined parameters and each of the user-defined parameters desirably includes a spatial range identifier and a user profile. The user profile in each of the user-defined parameters at least identifies a communicator device associated with a particular user. The communicator location database contains real-time data indicative of the spatial locations of the communicator devices. In one preferred version of the present invention, the communicator location database is automatically and/or continuously updated by the communicator devices.


The information database contains data, such as real-time weather data for at least the spatial locations contained in the communicator location database. The term “data” describes a wide variety of products including, but not limited to, past and current conditions of weather events, textual products, graphic products, and the like. The analysis unit receives the real-time data from the information database, and automatically and continuously compares the spatial range identifier included in the user-defined parameters and the spatial locations of the corresponding communicator devices contained in the communicator location database with the real-time data and, upon demand of the user, or even continuously, generates an individualized output signal such as weather information within the spatial range identified by the spatial range identifier for the user-defined parameters. As new locations are defined by the communicator location database, the information database is automatically updated in real-time.


The communication network transmits each individualized output signal to the particular communicator device defined in the user profile included in the user-defined parameter corresponding with the real-time data and prediction of events. Thus, a user can receive information in real-time specific to the user's immediate spatial location regardless of whether or not the user's location remains fixed or dynamic throughout time.


Other advantages and features of the present invention will become apparent to those skilled in the art when the following detailed description is read in view of the attached drawings and appended claims.





BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS


FIG. 1 is a block diagram of an interactive weather advisory system constructed in accordance with the present invention.



FIG. 2 is a coordinate system illustrating a spatial location identifier and a spatial range identifier utilized by versions of the present invention.



FIG. 3 is a block diagram of an interactive advisory system constructed in accordance with the present invention.



FIG. 4 is a block diagram of an interactive weather advisory system constructed in accordance with the present invention.





DETAILED DESCRIPTION OF THE INVENTION

Referring now to the drawings and more particularly to FIG. 1 shown therein in block diagram form, is one embodiment of the invention in the form of an interactive weather advisory system constructed in accordance with the present invention. The weather advisory system 8 is provided with a broadcast network 10 for selectively transmitting individualized weather output signals to remote communicator devices 11. The broadcast network 10 includes a weather analysis unit 12, a user input database 14, a communicator location database 16, and a communication network 20. The weather analysis unit 12 receives real-time weather data from a weather information database 21. The weather information database 21 can be located at the broadcast network 10, or remotely from the broadcast network 10. The weather analysis unit 12, the user input database 14, the communicator location database 16, the weather information database 21, and the communication network 20, interrelate and communicate via signal paths 22, 24, 26, 28, 30 and 32.


The user input database 14 permits a plurality of users to input data corresponding to the weather reports, advisories or forecasts such that individualized weather reports, advisories or prediction of events can be transmitted to each individual user. The user input database 14 contains data representative of at least one user-defined parameter correlated to each one of a plurality of users. In one version of the present invention, each of the user-defined parameters includes various information related to weather output signals, such as a spatial range identifier, a user profile, one or more weather content identifiers for identifying particular weather patterns, one or more time identifiers for identifying particular times or time intervals that a user may desire a weather product, a spatial location fixed or dynamic code, and a spatial location identifier for identifying particular spatial locations of interest to the user if the spatial location fixed or dynamic code indicates that the spatial location is to be fixed. The user profile in each of the user-defined parameters includes at least a user identifier code for identifying a particular communicator device 11 associated with a particular user.


For instance, the user identifier code could be a mobile telephone number identifying one of the communicator devices 11, which in this instance could be a mobile telephone or a pager, for example. The weather content identifier could be a computer code to identify one or a variety of weather conditions or events such as tornadoes, thunderstorms, hail storms, lightning storms, showers, snow storms, blizzards, high winds, winds aloft, rapidly rising or rapidly falling barometric pressure or other such weather patterns or conditions. The time identifier desirably could be a computer code for identifying the particular time, times, or time intervals the user desires the interactive weather advisory system 8 to communicate weather data to the user or to monitor the real-time weather data for a particular time and/or date. The spatial location identifier 26 could be a computer code identifying a particular predetermined spatial location such as, by way of example but not limitation, a longitude and latitude anywhere in the world, a town, a county, a township, address, zip code, altitude and combinations thereof.


As discussed above, the spatial location identifier identifies a particular spatial location anywhere in the world and/or altitude above sea level. The spatial range identifier identifies a particular spatial range surrounding the spatial location identifier. Each of the users can select the spatial location identifier and the spatial range identifier so as to receive weather forecasts and/or weather advisories or any other weather information for the spatial location identified by the spatial location identifier, and within the spatial range identified by the spatial range identifier.


For example, referring to FIG. 2, shown therein is a coordinate system illustrating four spatial location identifiers and four spatial range identifiers selected by different users of the present invention. That is, one of the users selects the spatial location identifier (X1, Y1, Z1), and the spatial range identifier (R1). Another one of the users selects the spatial location identifier (X2, Y2, Z2), and the spatial range identifier (R2).


The user who selected the spatial location identifier (X1, Y1, Z1) and the spatial range identifier R1 will receive weather products and advisories concerning the spatial range identified by the spatial location identifier (X1, Y1, Z1) and the spatial range identifier R1, as predefined in his user input database. The user who selected the spatial location identifier (X2, Y2, Z2) and the spatial range identifier R2 will receive weather products and advisories concerning the spatial range identified by the spatial location identifier (X2, Y2, Z2) and the spatial range identifier R2, and as predefined in the user input database 14. Likewise, the users who selected the spatial location identifiers (X3, Y3, Z3) and (X4, Y4, Z4) and the spatial range identifiers R3 and R4 will receive weather products and advisories concerning the spatial range identified by the spatial location identifiers (X3, Y3, Z3), (X4, Y4, Z4) and the spatial range identifier R3, R4, and as predefined in the user input database 14.


The magnitudes of the spatial range identifiers R1, R2, R3 and R4 can be different or the same. In addition, the magnitudes of the spatial range identifiers R1, R2, R3 and R4 can vary widely and are desirably selected by the users.


Particular users can input the user-defined parameters into the user input database 14 via any suitable method. For example, the user input database 14 is desirably configured to acquire its data from a variety of optional sources preferably chosen by the user, such as verbally through a telephone customer service network, a mobile phone network equipped with wireless application protocol technology, email, a personal digital assistant, a laptop computer, or an interactive web site. Furthermore, users could mail the user-defined parameters to the broadcast network 10, and an individual at the broadcast network 10 could input the user-defined parameters directly into the user input database 14 via a keyboard or other similar input device. In one embodiment, the user inputs the selected information into the user input database 14 via the user's communicator device 11.


The weather information database 21 contains real-time weather data for at least the spatial locations contained in the communicator location database 16 and the spatial locations identified by the spatial location identifier in the user input database 14. The weather analysis unit 12 generates predictions of all weather events based on the real-time weather data. The weather information database 21 desirably receives its real-time weather data from at least one of a plurality of possible resources such as, by way of example but not limitation, government weather information resources, privately operated weather information resources, and other various meteorological resources. The real-time weather data could also be either input directly at the physical location of the weather information database 21 or input via a mobile phone network, a mobile phone network with wireless application protocol, the Internet, aircraft communication systems, email, a personal digital assistant, a laptop computer, regular computer, or other wireless devices.


The communicator location database 16 is an optional feature of the present invention, and is enabled via the signal path 22 when the user requests real-time weather advisories or prediction of events at the dynamic spatial location of the user's communicator device 11. The communicator location database 16 is continuously updated such that the communicator location database 16 contains real-time data indicative of the spatial locations of the communicator devices 11. In one embodiment, the user identifier code in the user's profile is transmitted to the communicator location database 16 via the signal path 22. The communicator location database 16 desirably receives data from the communicator devices 11 identified by the user identifier codes via at least one of a variety of possible resources such as a mobile phone network, a mobile phone network equipped with the wireless application protocol technology, global positioning satellite technology, the Internet, loran technology, radar technology, transponder technology or any other type of technology capable of tracking the spatial location of a communicator device 11 and communicating the location of such communicator device 11 to the communicator location database 16 of the broadcast network 10. Preferably, the communicator location database 16 is continuously and automatically updated as to the location of each of the communicator devices 11, such as by the wireless application protocol technology.


The communication network 20 can be, by way of example but not limitation, a mobile phone network, a mobile phone network with wireless application protocol technology, the Internet, a facsimile network, a satellite network (one or two-way), a RF radio network, or any other means of transmitting information from a source to an end user.


The communicator devices 11 can be bidirectional or unidirectional communicator devices. The communicator devices 11 can be, by way of example but not limitation, a portable device, such as a mobile telephone, a smart phone, a pager, a laptop computer or a personal digital assistant, or any other electronic device capable of receiving weather information data. Furthermore, the communicator device 11 can be incorporated into an object that is utilized or accessible by the user, such as a helmet, an automobile, or an airplane, for example. While only three communicator devices 11 are represented in FIG. 1 for purposes of illustration, the interactive weather advisory system 8 contemplates the utilization of a large number of communicator devices 11.


The weather analysis unit 12 receives the data in the user input database 14, the communicator location database 16, and the weather information database 21 from the signal paths 24, 26, and 28. The weather analysis unit 12 can be, by way of example but not limitation, a computer desirably programmed to automatically and continuously compare the data in the user input database 14, communicator location database 16, and weather information database 21 so as to generate an individualized weather output signal including weather information within the spatial range identified by the spatial range identifier for each user-defined parameter in the user input database 14. The weather output signals are transmitted to the communication network 20 via the signal path 32.


The weather analysis unit 12 gathers the real-time weather data from the weather information database 21. The term “real-time weather data”, as used herein, refers to weather data which is continually updated so as to indicate current or near current information. In some instances, the “real-time weather data” may be delayed by relatively small increments of five minutes, 15 minutes, or 30 minutes, for example. In other instances, the “real-time weather data” can be provided with substantially no delay. It is expected that the increments will become smaller as communication networks and weather related technology become faster.


The weather analysis unit 12 generates predictions of all weather related events and compares past and current events contained in the weather information database 21 (such as future position, strength, trajectory, etc.), to construct a four-dimensional database. Three dimensions of the database define a physical location on or above the earth's surface (the spatial location identifier (X1, Y1, Z1). The fourth dimension is time—past, present or future (identified as T1, T2, T3, T4). By employing high speed computer processors in real-time, the weather analysis unit 12 compares all events (past, current and predicted), at specific positions (X1, Y1, Z1, T1) with identical user supplied data (the user input database—X1, Y1, Z1, R1, T1), and identifies any matches (weather output signals) to the user through the communication network 20 and communication devices 11.


The communication network 20 receives the weather output signals and the user identification codes via the signal paths 32 and 30. In response thereto, the communication network 20 transmits the individualized weather output signals to the communicator devices 11 associated with the user identification codes via the signal paths 34a, 34b and 34c, such that each user receives the individualized weather information that was requested.


The signal paths 34a, 34b and 34c refer to any suitable communication link which permits electronic communications. For example, the signal paths 34a, 34b and 34c can be point-to-point shared and dedicated communications, infra red links, microwave links, telephone links, CATV links, satellite and radio links and fiber optic links.


Various combinations of weather information can be incorporated into the user input database 14 so as to provide the user with selected and specific weather information. For example, a user traveling in his automobile may wish to be informed by the interactive weather advisory system 8 concerning all hailstorms for an area within a 2.5 mile radius of his vehicle as he is traveling from his point of origin to his destination. The user, for example, through his smart phone (communicator device 11) in his vehicle working in conjunction with a mobile phone network (communication network 20) with wireless application protocol, inputs selected information into the user input database 14; namely, the user's smart phone number (user identifier code), hail (weather content identifier), 2.5 mile radius (spatial range identifier 24) and spatial location dynamic (spatial location of the user's smart phone is then automatically and continuously monitored), and the like.


The interactive weather advisory system 8 then monitors weather information and predictions of events in the weather analysis unit 12, and transmits the individualized weather output signal to the user's smart phone if a hailstorm is detected or is highly likely to form within a 2.5 mile radius of the vehicle along the vehicle's path of travel, for the duration of travel.


The individualized weather output signal can be an audio and/or video data signal. For example, the individualized weather output signal can be a .WAV file or other suitable file containing an animated representation of a real or hypothetical individual speaking an individualized message to the user. In the example given above, the individualized message may be that the hailstorm is 2.5 miles ahead of the vehicle and thus, the user should consider stopping for a short period of time so as to avoid the hailstorm. Alternatively, the individualized message may be that the hailstorm is 2.5 miles ahead of the vehicle and thus, the user should consider stopping until further notified by another individualized weather output signal so as to avoid the hailstorm. In other words, the weather analysis unit 12 may transmit another individualized weather output signal to the user via the communication network 20 and the communicator devices 11 notifying the user that the weather condition identified by the weather content identifier has passed or is beyond the spatial location identified by the spatial range identifier.


As another example, a user may desire to be informed of all real-time weather data and predictions of events within a particular spatial range of a particular dynamic spatial location. For instance, the user may be interested in whether his aircraft is at risk of icing as he flies from Oklahoma City to Tulsa, Okla. To provide a suitable level of comfort and safety, the user may wish to be informed of icing conditions within 10 miles of the dynamic spatial location of his aircraft. The user, for example, through his smart phone or other suitable avionic device (communicator device 11) in his aircraft working in conjunction with a mobile phone network (communication network 20) with wireless application protocol, inputs selected information into the user input database 14; namely, the user's smart phone number (user identifier code), icing (weather content identifier), 10 mile radius (spatial range identifier 24), and the spatial location dynamic. The spatial location of the user's smart phone or other suitable avionic device is then automatically and continuously monitored as the aircraft traverses through time and space from (X1, Y1, Z1, T1) to (X4, Y4, Z4, T4). The interactive weather analysis unit 12 then monitors the real-time weather data in the weather information database 21 and the predicted events in the weather analysis unit 12 so as to transmit the individualized weather output signal to the user's smart phone or other avionic device identifying, if icing is detected or is highly likely to form relevant to a 10 mile radius of the aircraft.


As yet another example, perhaps the user is only interested in a particular weather pattern at a particular fixed spatial location and within a particular spatial range irrespective of the immediate location of the communicator device 11. To accomplish this user's request, the broadcast network 10 does not utilize the communicator location database 16. The user inputs selected information into the user input database 14, namely the user's phone number (user identifier code), the code for the particular weather pattern in which the user is interested (weather content identifier), the spatial range around the spatial location in which the user is interested (spatial range identifier), and the spatial location in which the user is interested (spatial location identifier). The weather analysis unit 12 then monitors the real-time weather data in the weather information database 21 and the predicted events in the weather analysis unit 12 so as to transmit the individualized weather information concerning the weather pattern in the spatial location and range requested by the user.


As a further example, perhaps the user is only interested in a particular weather condition at the spatial location and within a particular spatial range at a particular time. The user inputs selected information into the user input database 14, namely, the user's phone number (user identifier code), the code for the particular weather pattern in which the user is interested (weather content identifier), the spatial range around the spatial location in which the user is interested (spatial range identifier and the spatial location in which the user is interested spatial location identifier) and the time and date (time identifier) that the user to wishes to be informed of the weather conditions at the spatial location of interest. In response thereto, the weather analysis unit 12 monitors the real time weather data from the weather information database 21 for the spatial location and range identified by the spatial range identifier and spatial location identifier to determine the probability of the particular weather pattern occurring at the time identified by the time identifier. The weather analysis unit 12 sends, via the signal path 32, the individualized weather output signal to the communication network 20. The communication network 20 receives the user identifier code, via signal path 30, from the user input database 14 and transmits the weather output signal received from the weather analysis unit 12 to the particular communicator device 11 identified by the user identifier code. Thus, the user receives the individualized weather information concerning the spatial location, spatial range and time requested by the user.


The signal paths 22, 24, 26, 28, 30 and 32 can be logical and/or physical links between various software and/or hardware utilized to implement the present invention. It should be understood that each of the signal paths 22, 24, 26, 28, 30 and 32 are shown and described separately herein for the sole purpose of clearly illustrating the information and logic being communicated between the individual components of the present invention. In operation, the signal paths may not be separate signal paths but may be a single signal path. In addition, the various information does not necessarily have to flow between the components of the present invention in the manner shown in FIG. 1. For example, although FIG. 1 illustrates the user identifier code being transmitted directly from the user input database 14 to the communication network 20 via the signal path 30, the user identifier code can be communicated to the weather analysis unit 12 via the signal path 24 and then communicated to the communication network 20 via the signal path 32.


It should be understood that although the user has been described as manually inputting the user identifier code into the user input database 14, the user identifier code could be automatically input into the user input database 14 by the communicator device 11.


Once the user-defined parameters have been input into the user input database 14, the user-defined parameters can be analyzed by the weather analysis unit 12 along with weather content identifiers for purposes of targeted marketing. A plurality of vendors 36 can be provided access to the weather analysis unit 12 of the broadcast network 10 via a plurality of signal paths 38a, 38b, and 38c. The vendors 36 can independently input search information into the weather analysis unit 12 for compiling a data set of information which is useful to the vendors 36.


For example, a particular vendor 36a, who is in the business of selling snow blowers, may input a weather content identifier and time identifier into the weather analysis unit 12 so as to request a list of all spatial locations in the United States which are expected to receive at least 10 inches of snow in the next week. The weather analysis unit 12 would then compile the data set of all spatial locations in the United States which is expected to receive at least 10 inches of snow in the next week based on at least one weather content identifier, the time identifier, and the real-time weather data stored in the weather information database 21. The data set is then output to the vendor 36a. Based on the data set, the vendor 36a may send advertisements or additional snow blowers to the areas identified in the data set.


As another example, the particular vendor 36a, who is in the business of selling snow blowers, may input a weather content identifier and time identifier into the weather analysis unit 12 so as to request a list of all user profiles identifying users who resided in spatial locations in the United States which are expected to receive at least 10 inches of snow in the next week. The weather analysis unit 12 would then compile the data set of all spatial locations in United States which is expected to receive at least 10 inches of snow in the next week based on at least one weather content identifier, the time identifier, the user profiles, and the real-time weather data stored in the weather information database 21. The data set is then output to the vendor 36a. Based on the data set, the vendor 36a may send advertisements to the users who are identified in the data set.


It is envisioned that users will subscribe to the services provided by the broadcast network 10. In this regard, the broadcast network 10 may or may not charge a service fee to the users. In addition, some services may be provided by the broadcast network 10 for one charge and additional services may be provided at an enhanced charge.


To save processing power, the weather analysis unit 12 may periodically determine which communicator devices 11 are turned off or out of range. Once this has been determined, the weather analysis unit 12 would then not generate any individualized weather output signals for the communicator devices 11 which are turned off or out of range. Once a particular one of the communicator devices 11 is turned on or comes within range, the weather analysis unit 12 would then attempt to generate individualized weather output signals for such communicator devices 11. In other words, to save processing power the weather analysis unit 12 may only generate individualized weather output signals for the communicator devices 11 which are active and within range.


The weather analysis unit 12 can be located at the broadcast network 10. Alternatively, the weather analysis unit 12 can be separate from the remainder of the broadcast network 10 and provided as a service to the broadcast network 10.


In one preferred embodiment, rather than or in addition to the user providing user-defined parameters to the user input database 14, the user input database 14 is programmed to provide a plurality of pre-defined user profiles with each of the pre-defined user profiles directed to an activity designated by the user optionally including data and time of the activity. The activity can be a business, personal or recreational need. For example, the business need can be any work dependent upon or impacted by weather conditions to carry out a desired activity, such as, but not limited to a rancher, contractor, farmer, or painter. The personal need can be any activity positively or negatively impacted by weather conditions, such as but not limited to, duties performed by a homeowner, such as mowing the lawn, painting the house, trimming trees, or the like. The recreational need can be any recreational or other outdoor activity dependent upon weather conditions, such as but not limited to golfing, cycling, boating, hiking, fishing, or snow skiing.


In this case, the user selects or provides an activity or category to the user input database 14. The user input database 14 retrieves pre-defined information concerning such activity or category and stores or links such pre-defined information with the user's user profile. The broadcast network 10 and/or weather analysis unit 12 then functions as set forth above to provide weather alerts or other information concerning the information contained in the user's user profile.


For example, a user may plan on golfing on a particular weekend during the hours of 9:00 a.m. to 4:00 p.m. In this case, the user would select the pre-defined user profile for “golfing”, and the time frame of such planned activity. The location of planned activity can also be entered into the user input database 14, or the location of the communicator device 11 can be monitored by the communicator location database 16. The information contained in the pre-defined user profile is input into the user input database 14 and output weather alerts and forecasts are then generated as discussed above.


The pre-defined user profiles are determined by member(s) of the broadcast network 10 and/or weather analysis unit 12, who identify weather conditions which are typically suitable and/or adverse to each designated activity. Thus, for example, a pre-defined user profile for “golfing” will contain data such as wind conditions, lightning, rain, temperature and other conditions which will positively or negatively impact a golfing activity. The data in the pre-defined user profile can be determined either before or after selection of the activity by the user.


If desired by the user, the broadcast network 10 and/or weather analysis unit 12 can assume the responsibility for generating the appropriate size of the spatial range identifier (as in the case with the user profile, or pre-defined user profile). Alternatively, the spatial range identifier can be determined by the nature of the weather event. In the latter case, member(s) of the broadcast network 10 and/or weather analysis unit 12 would determine an “area of concern” around each weather event that would or could occur and the communication network 20 would then send notifications to any user or communicator device 11 that may come into contact with the area of concern.


For example, a tornado may be ½ mile wide and the broadcast network 10 and/or weather analysis unit 12 would, based upon its experience, knowledge and/or abilities, determine that the area of concern would be 1½ miles wide and 8 miles long—moving northeasterly. Any user contained within the user input database 14 would be notified, as discussed above, if the user's location comes into contact with the “area of concern”.


Other Uses of this System


Shown in FIGS. 3-4, are advisory systems 8a and 8b which can be used for delivering other types of information or for more accurately predicting weather related events. The advisory systems 8a and 8b are similar in construction and function to the weather advisory system 8, except as described below. For purposes of clarity, similar components have been provided with the same numeric prefix, and different alphabetic suffix.


The advisory system 8a is provided with a broadcast network 10a. In one embodiment, the broadcast network 10a is used for transmitting individualized real-time work assignments from, for example, an employer to an employee. The broadcast network 10a is provided with an analysis unit 12a, a communicator location database 16a, and communicator devices 11a and 11b. The communicator device 11a is referred to herein as an “employer communicator device”, and the communicator device 11b is referred to herein as an “employee communicator device.” The communicator location database 16a is continuously updated to contain real-time data indicative of the spatial locations of the communicator devices 11a and 11b. In a similar manner as described above, the analysis unit 12a makes comparisons between user profiles (as represented by a box 80a), dynamic locations stored in the communicator location database 16a, fixed locations as represented by a box 82a and job assignments entered into the analysis unit 12a from one of the employer communicator devices 11a. The system 8a may be further described as an employer system 40a and an employee system 42a to delineate the types of information being conveyed within the system 8a.


For example, an employer uses the employer communicator device 11a to input employee information and/or criteria into an employee's user profile such as, for example, job location, job schedule, skill set requirements, personality traits, and other criteria as represented by a box 84a. Further, the employer inputs work or job assignment criteria into the analysis unit 12a such as, for example, job location, job schedule, skill set requirements, personality traits, and other criteria. The employer inputs the above criteria into one of the employer communicator devices 11a which may be, for example, a computer, a personal digital assistant (PDA), a cellular phone, a combination cellular phone/PDA, or any other device which may then transmit the employee information and/or job assignment criteria to the analysis unit 12a. The analysis unit 12a may be, for example, a computer or a web server. The analysis unit 12a matches the employee user profile criteria with the work assignment criteria to generate a data set of at least one individualized work assignment.


The individualized real-time work assignment is transmitted to one of the employee communicator devices 11b based upon the matching of the work assignment criteria with the employee user-profile. The data set can be transmitted to the employer communicator device 11a such that the employer can review the data set to assign the work assignment to a particular one of the employees, or alternatively, the analysis unit 12a can automatically assign the work assignment to a particular one of the employees and thereby transmit the work assignment to the employee's communicator device 11b without any intervention by the employer. The employee's communicator device 11b may be, for example, a PDA, a cellular phone, a combination cellular phone/PDA, a pager, or any other device in which the analysis unit 12a or the employer may communicate information to the employee.


The user profile for each of the employees includes information relating to the employee's traits such as, for example, personality, sales style, dress, skill set, location, schedule, or any other quality or trait relating to the particular employee. Further, the user profile is preferably accessible by both the employer communicator device 11a and the employee communicator device 11b. However, it is preferred that the employer communicator device 11a have access to the entire user profile, while the employee communicator device 11b only have access to a subset of the user profile. Thus, the user profile accessible by the employer system 40a may differ from the user profile accessible by the employee system 42a.


For example, the user profile accessible by the employer system 40a may include traits related to a particular employee that remain hidden or unknown to the employee. For instance, the employee may have access to information stored in his user profile such as location, schedule, skill set, and other criteria as represented by a box 86a and may be provided access to his user-profile to update information as needed. In addition to the above-mentioned employee-accessible information, the employer may have access to the employee user profile to input and access employee traits such as personality, sales style, dress, and skill set and may be provided access to update this information as needed.


In another embodiment, the system 8a is used to deliver goods based upon real-time location of a carrier of the goods. More specifically, the system 8a can be used to accommodate purchasers of products ordered online in order to quickly and efficiently deliver goods to the purchaser's specified location.


The analysis unit 12a is loaded with employee user profiles and locations. The analysis unit 12a identifies delivery persons (employees) located near a purchaser's location. Part of the employee's user profile can include an inventory of the goods on the employee's delivery truck. The employee need not know what inventory is located on his delivery truck, but only his delivery destination.


For example, a purchaser may order fresh produce online. The employer may input the purchaser's order (work assignment) into the employer communicator device 11a (which inputs the work assignment into the analysis unit 12a) so that the analysis unit 12a may determine which delivery person may efficiently deliver the specified goods to the purchaser. Also, by ordering online, the purchaser may send his order directly to the analysis unit 12a such that the analysis unit 12a automatically determines the appropriate delivery person to deliver goods to the purchaser and sends the assignment to the delivery person via the employee's communicator device 11b. Further, the employer updates the user profile to track and monitor the precise inventory located on the employee's delivery truck, the inventory being delivered, and any inventory that may be stolen from the delivery truck.


In yet another embodiment, the system 8a can be used for sending salesmen to the field for soliciting new clients. For example, a company may receive an inquiry from a sales lead. Information about the lead is entered into the analysis unit 12a as a job assignment from the employer communicator device 11a. The analysis unit 12a then determines the appropriate salesman to send to the lead based on information stored in the salesman's user-profile. The salesman's user-profile may include information such as salesman location, personality traits, dress style or other attributes used to determine which salesman may be appropriate to send to the lead.


Shown in FIG. 4 is another advisory system 8b constructed in accordance with the present invention. The advisory system 8b includes a broadcast network 10b. The broadcast network 10b is similar in construction and function as the broadcast network 10 discussed above, except that the broadcast network 10b includes individualized sensor networks 48a having weather and environmental sensors 48b which are specifically associated with geographic areas associated with predetermined users.


For example, the weather and environmental data collection sites are tremendously sparse in growing areas of the world. In the state of Iowa, only a minimal number of National Weather Service data collection points exist. The scarcity of weather data hinders farmers because a dense grid of weather data points is non-existent in order for farmers to make critical decisions about their crops. For example, how do you know what 160-acre tract of land to fertilize when soil temperature data, crop moisture data, and chance of precipitation data is unavailable?


The sensor network 48a includes temporary or permanent data collection sensors 48b which may be installed, for example, on a 10 acre to 40 acre grid on the land of a subscriber or user of the system 8b. Each sensor 48b may have a unique spatial range associated with it such as, for example, a five mile or twenty mile radius. The spatial range associated with each sensor 48b can be selected by the user and specified as a result of the sensor 48b type and purpose as well as the density of the sensor network 48a. For example, if the user is interested in soil moisture in order to schedule a fertilizer treatment, the spatial range associated with the chosen sensor 48b may be set, for example, at 375 feet. In another example, the user may be interested in soil temperature for placing seeds in the ground and the desired spatial range associated with the chosen sensor 48b may be, for example, 2,000 feet. The user of the system 8b includes a user profile as discussed above, which is supplemented with information regarding the sensors 48b associated with the user, e.g., installed on or near the user's land. The sensors 48b transmit site-specific, individualized information to the weather analysis unit 12b so that more detailed information can be used by the weather analysis unit 12b in generating the site-specific weather information for the user.


The sensors 48b can be any type of sensor which generates information usable for forecasting weather, transmitting current weather conditions, transmitting current environmental conditions, and/or forecasting environmental conditions. For example, the sensors 48b can be used to sample or record such parameters as, but not limited to, air temperature, humidity, precipitation, solar radiation, wind speed and direction, soil temperature, soil moisture, and/or chemical constituents in the soil.


For example, a user may enter into his user profile types of information the user would like the sensor network 48a to monitor such as, for example, temperature, moisture and/or soil conditions. The weather analysis unit 12b receives the sensor data from the sensor network 48a and transmits information to the user via the user's communicator device 50b based on information entered into his user profile. The user may also choose a specific sensor for monitoring a specific area at any given time by modifying his user profile.


Further, the system 8b may be used to transmit real-time road condition information to the weather analysis unit 12b to enhance the weather information transmitted to the users of the system 8b. Although the sensors 48b can include their own power source such as a battery or solar power source, the sensors 48b are preferably positioned on a device which has its own electrical power source. For example, a temporary or permanent sensor or sensors 48b may be placed in various locations along a roadway such as on a vehicle, on or beside the roadway, on a billboard, gas pump, cell phone tower or sign alongside the roadway or railway, on a delivery vehicle(s) such as, for example, UPS and/or FedEx, or on the streetlights. If the sensor 48b is placed on the roadway, it may be placed in the concrete or asphalt. If placed beside the roadway, the sensor 48b may be placed in, for example, a ditch. The sensor(s) 48b may detect, for example, moisture, temperature or any other weather or environmental condition associated with the roadway, sign alongside the roadway, on streetlights, or on delivery vehicles such as, for example, UPS and/or FedEx, or on railway cars. Alternatively, the sensor(s) 48b may be used to detect traffic conditions or any other condition associated with a particular roadway or railway.


For example, each sensor 48b may be placed 100 feet away from the nearest sensor in order to create the sensor network 48a for determining conditions for a specified area along a roadway or railway. Further, the sensor(s) 48b may be placed on various cellular phone towers so that users of a particular cellular phone system associated with the tower may access various conditions using the system 8b.


Each of the weather sensors 48a can also include a system such as a GPS system for determining the current location of such weather sensor so that the current location of the weather sensor is transmitted to the weather analysis unit 12b.


One skilled in the art will recognize many uses of the system 8b. For example, when sensor data is collected by sensors 48a positioned on moving vehicles along roadways or railways, the weather analysis unit 12b can transmit such weather information to communicator devices 11b located in close proximity to where the sensor data is being collected. Thus, assuming that a Federal Express truck is located 5 miles from a subscriber, the information collected from the sensor on the Federal Express truck can be transmitted to the subscriber.


From the above description, it is clear that the present invention is well adapted to carry out the objects and to attain the advantages mentioned herein as well as those inherent in the invention. While presently preferred embodiments of the invention have been described for purposes of this disclosure, it will be readily understood that numerous changes may be made which will readily suggest themselves to those skilled in the art and which are accomplished within the spirit of the invention disclosed.

Claims
  • 1. A method of outputting weather or environmental condition information to a user, the method comprising: storing user profiles associated with users in a user profile database, the user profiles including a user identifier code for identifying a communicator device associated with a user;receiving, by a weather analysis unit, weather or environmental condition information from weather and environmental sensors;receiving real-time data indicative of a spatial location of the communicator device;storing the real-time data indicative of the spatial location of the communicator device in a communicator location database;determining whether the communicator device is located in close proximity to a location of one or more of the weather and environmental sensors by: determining a unique spatial range of each of the one or more weather and environmental sensors; anddetermining whether the communicator device is within the unique spatial range of the one or more weather and environmental sensors; andoutputting the weather or environmental condition information received from the one or more weather and environmental sensors in close proximity to the communicator device to a communication network for transmittal to the communicator device in response to a determination that the communicator device is in close proximity to the one or more weather and environmental sensors.
  • 2. The method of claim 1, wherein the unique spatial range is determined based on a type of the weather or environmental condition information to be monitored by the one or more weather and environmental sensors.
  • 3. The method of claim 1, wherein the unique spatial range is determined based on a sensor type of the one or more weather and environmental sensors.
  • 4. The method of claim 1, wherein the unique spatial range is determined based on a distance between the one or more weather and environmental sensors.
  • 5. The method of claim 1, wherein the weather and environmental sensors are approximately equidistant.
  • 6. The method of claim 1, wherein one or more of the weather and environmental sensors is mounted on a billboard, a gas pump, a tower for cell phone communication, or a structure supporting a light.
  • 7. The method of claim 1, wherein one or more of the weather and environmental sensors is mounted on a vehicle.
  • 8. The method of claim 1, wherein one or more of the weather and environmental sensors is mounted on a billboard.
  • 9. The method of claim 1, wherein one or more of the weather and environmental sensors is mounted on a gas pump at a gas station.
  • 10. The method of claim 1, wherein one or more of the weather and environmental sensors is mounted on a tower for cell phone communication.
  • 11. A method of outputting environmental condition information to a user, the method comprising: storing user profiles associated with users in a user profile database, the user profiles including a user identifier code for identifying a communicator device associated with a user;receiving environmental condition information from environmental sensors;receiving real-time data indicative of a spatial location of the communicator device;storing the real-time data indicative of the spatial location of the communicator device in a communicator location databasedetermining whether the communicator device is located in close proximity to a location of one or more of the environmental sensors by: determining a unique spatial range of each of the one or more environmental sensors; anddetermining whether the communicator device is within the unique spatial range of the one or more environmental sensors; andoutputting the environmental condition information received from the one or more environmental sensors in close proximity to the communicator device to a communication network for transmittal to the communicator device in response to a determination that the communicator device is in close proximity to the one or more environmental sensors.
  • 12. The method of claim 11, wherein the unique spatial range is determined based on a type of the environmental condition information to be monitored by the one or more environmental sensors.
  • 13. The method of claim 11, wherein the unique spatial range is determined based on a sensor type of the one or more environmental sensors.
  • 14. The method of claim 11, wherein the unique spatial range is determined based on a distance between the one or more environmental sensors.
  • 15. The method of claim 11, wherein the environmental sensors are approximately equidistant.
  • 16. The method of claim 11, wherein one or more of the environmental sensors is mounted on a billboard, a gas pump, a tower for cell phone communication, or a structure supporting a light.
  • 17. The method of claim 11, wherein one or more of the environmental sensors is mounted on a vehicle.
  • 18. The method of claim 11, wherein one or more of the environmental sensors is mounted on a billboard.
  • 19. The method of claim 11, wherein one or more of the environmental sensors is mounted on a gas pump at a gas station.
  • 20. The method of claim 11, wherein one or more of the environmental sensors is mounted on a tower for cell phone communication.
CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a Continuation of U.S. patent application Ser. No. 11/035,654, filed Jan. 14, 2005, the disclosure of which is hereby incorporated by reference in its entirety.

US Referenced Citations (557)
Number Name Date Kind
3596264 Ciemochowski Jul 1971 A
3891979 Braun et al. Jun 1975 A
4015366 Hall, III Apr 1977 A
4222044 Boschung Sep 1980 A
4438439 Shreve Mar 1984 A
4459682 Mossberg Jul 1984 A
4473844 Klein Sep 1984 A
4521857 Reynolds, III Jun 1985 A
4529982 Karlstrom et al. Jul 1985 A
4577109 Hirschfeld Mar 1986 A
4586827 Hirsch et al. May 1986 A
4755942 Gardner et al. Jul 1988 A
4774658 Lewin Sep 1988 A
4845629 Murga Jul 1989 A
4892335 Taft Jan 1990 A
4901300 Van Der Zande et al. Feb 1990 A
4945355 Blanchette Jul 1990 A
4972319 Delorme Nov 1990 A
5111111 Stevens et al. May 1992 A
5111391 Fields et al. May 1992 A
5117353 Stipanovich et al. May 1992 A
5122959 Nathanson et al. Jun 1992 A
5131020 Liebesny et al. Jul 1992 A
5164904 Sumner Nov 1992 A
5193143 Kaemmerer Mar 1993 A
5214757 Mauney May 1993 A
5214793 Conway May 1993 A
5229975 Truesdell Jul 1993 A
5250955 Major et al. Oct 1993 A
5265024 Crabill et al. Nov 1993 A
5298760 Fuchs et al. Mar 1994 A
5365290 Suzuki et al. Nov 1994 A
5398021 Moore Mar 1995 A
5416694 Parrish et al. May 1995 A
5432509 Kajiwara Jul 1995 A
5434565 Simon et al. Jul 1995 A
5442147 Burns et al. Aug 1995 A
5444444 Ross Aug 1995 A
5448696 Shimada et al. Sep 1995 A
5467268 Sisley et al. Nov 1995 A
5481254 Gaskill et al. Jan 1996 A
5486830 Axline, Jr. et al. Jan 1996 A
5488697 Kaemmerer Jan 1996 A
5493709 Duckeck et al. Feb 1996 A
5528678 Kaplan Jun 1996 A
5544140 Seagrave et al. Aug 1996 A
5550981 Bauer et al. Aug 1996 A
5555446 Jasinski Sep 1996 A
5565863 Simon et al. Oct 1996 A
5606699 De Pauw et al. Feb 1997 A
5607187 Salive et al. Mar 1997 A
5615121 Babayev et al. Mar 1997 A
5615223 Carr Mar 1997 A
5615400 Cowsar et al. Mar 1997 A
5628050 McGraw et al. May 1997 A
5629854 Schulte May 1997 A
5634057 Dickinson May 1997 A
5642303 Small et al. Jun 1997 A
5649182 Reitz Jul 1997 A
5671412 Christiano Sep 1997 A
5684476 Anderson Nov 1997 A
5689650 McClelland et al. Nov 1997 A
5703930 Miska et al. Dec 1997 A
5706505 Fraley et al. Jan 1998 A
5717589 Thompson et al. Feb 1998 A
5725253 Salive et al. Mar 1998 A
5754782 Masada May 1998 A
5757322 Ray et al. May 1998 A
5764906 Edelstein et al. Jun 1998 A
5768577 Kleewein et al. Jun 1998 A
5790664 Coley et al. Aug 1998 A
5790953 Wang et al. Aug 1998 A
5794234 Church et al. Aug 1998 A
5819227 Obuchi Oct 1998 A
5828843 Grimm et al. Oct 1998 A
5839088 Hancock et al. Nov 1998 A
5845276 Emerson et al. Dec 1998 A
5848131 Shaffer et al. Dec 1998 A
5848378 Shelton et al. Dec 1998 A
5864860 Holmes Jan 1999 A
5864875 Van Huben et al. Jan 1999 A
5867109 Wiedeman Feb 1999 A
5867110 Naito et al. Feb 1999 A
5867821 Ballantyne et al. Feb 1999 A
5874914 Krasner Feb 1999 A
5880958 Helms et al. Mar 1999 A
5884267 Goldenthal et al. Mar 1999 A
5884309 Vanechanos, Jr. Mar 1999 A
5892917 Myerson Apr 1999 A
5893905 Main et al. Apr 1999 A
5898680 Johnstone et al. Apr 1999 A
5948041 Abo et al. Sep 1999 A
5950161 Kozuma et al. Sep 1999 A
5963130 Schlager et al. Oct 1999 A
5974447 Cannon et al. Oct 1999 A
5978730 Poppen Nov 1999 A
5982860 Kim Nov 1999 A
5991735 Gerace Nov 1999 A
5999126 Ito Dec 1999 A
5999882 Simpson et al. Dec 1999 A
6000285 Leslie et al. Dec 1999 A
6014090 Rosen et al. Jan 2000 A
6018699 Baron et al. Jan 2000 A
6021432 Sizer, II et al. Feb 2000 A
6023223 Baxter, Jr. Feb 2000 A
6023765 Kuhn Feb 2000 A
6028514 Lemelson et al. Feb 2000 A
6031455 Grube et al. Feb 2000 A
6040781 Murray Mar 2000 A
6043756 Bateman et al. Mar 2000 A
6047236 Hancock et al. Apr 2000 A
6047327 Tso et al. Apr 2000 A
6049776 Donnelly et al. Apr 2000 A
6054950 Fontana Apr 2000 A
6055434 Seraj Apr 2000 A
6070143 Barney et al. May 2000 A
6078260 Desch Jun 2000 A
6084510 Lemelson et al. Jul 2000 A
6088679 Barkley Jul 2000 A
6091956 Hollenberg Jul 2000 A
6091959 Souissi et al. Jul 2000 A
6094509 Zheng et al. Jul 2000 A
6098048 Dashefsky et al. Aug 2000 A
6100806 Gaukel Aug 2000 A
6101443 Kato Aug 2000 A
6108699 Moiin Aug 2000 A
6112074 Pinder Aug 2000 A
6112075 Weiser Aug 2000 A
6133853 Obradovich et al. Oct 2000 A
6133912 Montero Oct 2000 A
6138073 Uchigaki Oct 2000 A
6144739 Witt et al. Nov 2000 A
6148261 Obradovich et al. Nov 2000 A
6161092 Latshaw et al. Dec 2000 A
6167255 Kennedy, III et al. Dec 2000 A
6177873 Cragun Jan 2001 B1
6181260 Simon et al. Jan 2001 B1
6185427 Krasner et al. Feb 2001 B1
6199045 Giniger et al. Mar 2001 B1
6202023 Hancock et al. Mar 2001 B1
6204761 Vanderable Mar 2001 B1
6209026 Ran et al. Mar 2001 B1
6212393 Suarez et al. Apr 2001 B1
6219667 Lu et al. Apr 2001 B1
6231519 Blants et al. May 2001 B1
6233122 Summers May 2001 B1
6240369 Foust May 2001 B1
6252539 Phillips et al. Jun 2001 B1
6252544 Hoffberg Jun 2001 B1
6255953 Barber Jul 2001 B1
6266612 Dussell et al. Jul 2001 B1
6266683 Yehuda et al. Jul 2001 B1
6269309 Buckingham Jul 2001 B1
6275231 Obradovich Aug 2001 B1
6289277 Feyereisen et al. Sep 2001 B1
6295001 Barber Sep 2001 B1
6295502 Hancock et al. Sep 2001 B1
6297766 Koeller Oct 2001 B1
6329904 Lamb Dec 2001 B1
6334133 Thompson et al. Dec 2001 B1
6339744 Hancock et al. Jan 2002 B1
6339747 Daly et al. Jan 2002 B1
6343255 Peek et al. Jan 2002 B1
6347216 Marko et al. Feb 2002 B1
6351218 Smith Feb 2002 B1
6356834 Hancock et al. Mar 2002 B2
6360172 Burfeind et al. Mar 2002 B1
6363411 Dugan et al. Mar 2002 B1
6380869 Simon et al. Apr 2002 B1
6381535 Durocher et al. Apr 2002 B1
6396397 Bos May 2002 B1
6404880 Stevens Jun 2002 B1
6405134 Smith et al. Jun 2002 B1
6408337 Dietz et al. Jun 2002 B1
6411687 Bohacek et al. Jun 2002 B1
6411809 Haakana et al. Jun 2002 B1
6418371 Arnold Jul 2002 B1
6430562 Kardos et al. Aug 2002 B1
6446004 Cao et al. Sep 2002 B1
6449488 Cheng et al. Sep 2002 B1
6456852 Bar Sep 2002 B2
6462665 Tarlton et al. Oct 2002 B1
6469664 Michaelson et al. Oct 2002 B1
6473692 Hancock et al. Oct 2002 B2
6484033 Murray Nov 2002 B2
6493633 Baron et al. Dec 2002 B2
6496776 Blumberg et al. Dec 2002 B1
6497367 Conzola et al. Dec 2002 B2
6498987 Kelly et al. Dec 2002 B1
6501392 Gremmert et al. Dec 2002 B2
6505123 Root et al. Jan 2003 B1
6519571 Guheen Feb 2003 B1
6522875 Dowling et al. Feb 2003 B1
6522888 Garceran et al. Feb 2003 B1
6526268 Marrah et al. Feb 2003 B1
6526335 Treyz Feb 2003 B1
6531218 Hoyt et al. Mar 2003 B2
6535817 Krishnamurti Mar 2003 B1
6542825 Jones et al. Apr 2003 B2
6552682 Fan Apr 2003 B1
6553317 Lincoln et al. Apr 2003 B1
6560456 Lohtia et al. May 2003 B1
6564143 Alewine et al. May 2003 B1
6571279 Herz et al. May 2003 B1
6578005 Lesaint et al. Jun 2003 B1
6587813 Whitt et al. Jul 2003 B1
6587831 O'Brien Jul 2003 B1
6587851 Ditcharo et al. Jul 2003 B1
6590529 Schwoegler Jul 2003 B2
6597983 Hancock Jul 2003 B2
6603405 Smith Aug 2003 B2
6609062 Hancock Aug 2003 B2
6611687 Clark et al. Aug 2003 B1
6633900 Khalessi et al. Oct 2003 B1
6646559 Smith Nov 2003 B2
6647257 Owensby Nov 2003 B2
6650902 Richton Nov 2003 B1
6650972 Robinson et al. Nov 2003 B1
6654689 Kelly et al. Nov 2003 B1
6658568 Ginter et al. Dec 2003 B1
6675151 Thompson et al. Jan 2004 B1
6677894 Sheynblat et al. Jan 2004 B2
6678700 Moore et al. Jan 2004 B1
6680675 Suzuki Jan 2004 B1
6684136 Sinex Jan 2004 B2
6697859 Takahashi Feb 2004 B1
6700482 Ververs et al. Mar 2004 B2
6708211 Tingley et al. Mar 2004 B1
6714793 Carey et al. Mar 2004 B1
6731940 Nagendran May 2004 B1
6742002 Arrowood May 2004 B2
6745021 Stevens Jun 2004 B1
6745036 Dunne Jun 2004 B1
6751553 Young et al. Jun 2004 B2
6753784 Sznaideret al. Jun 2004 B1
6754585 Root et al. Jun 2004 B2
6792615 Rowe et al. Sep 2004 B1
6798358 Joyce et al. Sep 2004 B2
6812855 Sudou et al. Nov 2004 B1
6816878 Zimmers et al. Nov 2004 B1
6823263 Kelly et al. Nov 2004 B1
6823315 Bucci et al. Nov 2004 B1
6823344 Isensee et al. Nov 2004 B1
6826481 Root et al. Nov 2004 B2
6829233 Gilboy Dec 2004 B1
6829334 Zirngibl et al. Dec 2004 B1
6829536 Moore Dec 2004 B2
6836730 Root et al. Dec 2004 B2
6838998 Brown et al. Jan 2005 B1
6845324 Smith Jan 2005 B2
6850895 Brodersen et al. Feb 2005 B2
6853915 Hubschneider et al. Feb 2005 B2
6861959 Torres Sabate Mar 2005 B1
6892390 Lieberman et al. May 2005 B1
6909361 McCarthy et al. Jun 2005 B2
6909903 Wang Jun 2005 B2
6912545 Lundy et al. Jun 2005 B1
6941126 Jordan, Jr. Sep 2005 B1
6944447 Portman et al. Sep 2005 B2
6962531 Pace et al. Nov 2005 B2
6973384 Zhao et al. Dec 2005 B2
6975942 Young et al. Dec 2005 B2
6980909 Root et al. Dec 2005 B2
6985813 Root et al. Jan 2006 B2
6985929 Wilson et al. Jan 2006 B1
6988037 Root et al. Jan 2006 B2
6989765 Gueziec Jan 2006 B2
6990458 Harrison et al. Jan 2006 B2
7010501 Roslak et al. Mar 2006 B1
7016689 Clark et al. Mar 2006 B2
7024205 Hose Apr 2006 B1
7024310 Root et al. Apr 2006 B2
7031724 Ross et al. Apr 2006 B2
7047114 Rogers May 2006 B1
7053780 Straub et al. May 2006 B1
7058510 Kelly et al. Jun 2006 B2
7072666 Kullman et al. Jul 2006 B1
7079631 Kaufman Jul 2006 B1
7080018 Fox et al. Jul 2006 B1
7084757 Terui Aug 2006 B2
7084775 Smith Aug 2006 B1
7089115 Chapman et al. Aug 2006 B2
7089116 Smith Aug 2006 B2
7096276 Bodin et al. Aug 2006 B2
7103596 Abe et al. Sep 2006 B2
7123926 Himmelstein Oct 2006 B2
7139664 Kelly et al. Nov 2006 B2
7171372 Daniel et al. Jan 2007 B2
7181345 Rosenfeld et al. Feb 2007 B2
7184540 Dezonno et al. Feb 2007 B2
7184896 Benson Feb 2007 B1
7185044 Ryan et al. Feb 2007 B2
7191064 Myers et al. Mar 2007 B1
7191065 Root et al. Mar 2007 B2
7197308 Singhal et al. Mar 2007 B2
7212811 Dowling et al. May 2007 B2
7212829 Lau et al. May 2007 B1
7218938 Lau et al. May 2007 B1
7231657 Honarvar et al. Jun 2007 B2
7233781 Hunter et al. Jun 2007 B2
7242988 Hoffberg et al. Jul 2007 B1
7248159 Smith Jul 2007 B2
7254481 Yamada et al. Aug 2007 B2
7254588 Sung et al. Aug 2007 B2
7269505 Zhao et al. Sep 2007 B2
7284000 Kuehr-Mclaren et al. Oct 2007 B2
7284033 Jhanji Oct 2007 B2
7289908 Root et al. Oct 2007 B2
7299492 Thrash et al. Nov 2007 B2
7315782 Root et al. Jan 2008 B2
7321305 Gollu Jan 2008 B2
7327271 Greenstein et al. Feb 2008 B2
7330112 Emigh et al. Feb 2008 B1
7330693 Goss Feb 2008 B1
7337146 Heelan et al. Feb 2008 B2
7366522 Thomas Apr 2008 B2
7383130 Koosam Jun 2008 B1
7397390 DiPiazza Jul 2008 B2
7400976 Young et al. Jul 2008 B2
7403925 Schlesinger et al. Jul 2008 B2
7406382 Brulle-Drews Jul 2008 B2
7411493 Smith Aug 2008 B2
7421344 Marsh et al. Sep 2008 B1
7426203 McNamara et al. Sep 2008 B1
7502748 Baldwin et al. Mar 2009 B1
7557730 Gueziec Jul 2009 B2
7567575 Chen et al. Jul 2009 B2
7568217 Prasad et al. Jul 2009 B1
7599795 Blumberg et al. Oct 2009 B1
7602285 Sznaider et al. Oct 2009 B2
7606663 Neef et al. Oct 2009 B2
7647022 Ng et al. Jan 2010 B2
7650633 Whitson Jan 2010 B2
7668832 Yeh et al. Feb 2010 B2
7716077 Mikurak May 2010 B1
7720606 Burfeind et al. May 2010 B2
7917555 Gottumukkala et al. Mar 2011 B2
8229467 Root et al. Jul 2012 B2
8483651 Zamora et al. Jul 2013 B1
8634814 Root et al. Jan 2014 B2
8769480 Wagner et al. Jul 2014 B1
8971913 Moeglein et al. Mar 2015 B2
9237416 Root et al. Jan 2016 B2
9392460 Blake et al. Jul 2016 B1
20010029160 Aznal Oct 2001 A1
20010030624 Schwoegler Oct 2001 A1
20010042001 Goto et al. Nov 2001 A1
20010045886 Minowa Nov 2001 A1
20010049584 Jones et al. Dec 2001 A1
20010049636 Hudda et al. Dec 2001 A1
20010051888 Mayhak et al. Dec 2001 A1
20010053999 Feinberg Dec 2001 A1
20020000930 Crowson et al. Jan 2002 A1
20020009353 Kelsey et al. Jan 2002 A1
20020010615 Jacobs Jan 2002 A1
20020025964 Streuff et al. Feb 2002 A1
20020029160 Thompson et al. Mar 2002 A1
20020040313 Hunter et al. Apr 2002 A1
20020048283 Lin Apr 2002 A1
20020049310 Tateishi et al. Apr 2002 A1
20020052674 Chang et al. May 2002 A1
20020062451 Scheidt et al. May 2002 A1
20020077876 O'Meara et al. Jun 2002 A1
20020091568 Kraft et al. Jul 2002 A1
20020095333 Jokinen et al. Jul 2002 A1
20020147642 Avallone et al. Oct 2002 A1
20020160745 Wang Oct 2002 A1
20020165732 Ezzeddine et al. Nov 2002 A1
20020173981 Stewart Nov 2002 A1
20020175211 Dominguez et al. Nov 2002 A1
20020183117 Takahashi et al. Dec 2002 A1
20020194366 Bodin et al. Dec 2002 A1
20030004780 Smith et al. Jan 2003 A1
20030004802 Callegari Jan 2003 A1
20030014297 Kaufman et al. Jan 2003 A1
20030028410 House et al. Feb 2003 A1
20030040849 Hathout et al. Feb 2003 A1
20030043073 Gray Mar 2003 A1
20030059158 Lacey Mar 2003 A1
20030060211 Chern et al. Mar 2003 A1
20030068974 Kanamaluru et al. Apr 2003 A1
20030100315 Rankin May 2003 A1
20030107490 Sznaider et al. Jun 2003 A1
20030113014 Katoh Jun 2003 A1
20030125963 Haken Jul 2003 A1
20030132298 Swartz et al. Jul 2003 A1
20030149607 Ogasawara et al. Aug 2003 A1
20030156049 Behr et al. Aug 2003 A1
20030169367 Ranta Sep 2003 A1
20030171870 Gueziec Sep 2003 A1
20030191765 Bargh et al. Oct 2003 A1
20030191795 Bernardin et al. Oct 2003 A1
20030198337 Lenard Oct 2003 A1
20030200027 Root et al. Oct 2003 A1
20040002348 Fraccaroli Jan 2004 A1
20040010372 Schwoegler Jan 2004 A1
20040010591 Sinn et al. Jan 2004 A1
20040023666 Moon et al. Feb 2004 A1
20040059996 Fasciano Mar 2004 A1
20040077347 Lauber Apr 2004 A1
20040093265 Ramchandani et al. May 2004 A1
20040107126 Kataoka et al. Jun 2004 A1
20040110515 Blumberg et al. Jun 2004 A1
20040130463 Bloomquist Jul 2004 A1
20040161097 Henry Aug 2004 A1
20040167813 Robertson et al. Aug 2004 A1
20040172343 Allibhoy et al. Sep 2004 A1
20040199655 Davies et al. Oct 2004 A1
20040203854 Nowak Oct 2004 A1
20040210479 Perkowski et al. Oct 2004 A1
20040221308 Cuttner et al. Nov 2004 A1
20040267595 Woodings et al. Dec 2004 A1
20050001720 Mason Jan 2005 A1
20050003828 Sugar et al. Jan 2005 A1
20050021666 Dinnage et al. Jan 2005 A1
20050021806 Richardson et al. Jan 2005 A1
20050021980 Kanai Jan 2005 A1
20050025132 Harper et al. Feb 2005 A1
20050027449 Marsh Feb 2005 A1
20050038876 Chaudhuri Feb 2005 A1
20050040847 Unger et al. Feb 2005 A1
20050049789 Kelly et al. Mar 2005 A1
20050050008 Root et al. Mar 2005 A1
20050055374 Sato Mar 2005 A1
20050096962 Narasimhan et al. May 2005 A1
20050136917 Taylor Jun 2005 A1
20050136949 Barnes, Jr. Jun 2005 A1
20050136983 Agapi et al. Jun 2005 A1
20050154531 Kelly et al. Jul 2005 A1
20050174235 Davis et al. Aug 2005 A1
20050181803 Weaver et al. Aug 2005 A1
20050192724 Hendry Sep 2005 A1
20050227709 Chang et al. Oct 2005 A1
20050228873 Tapuska et al. Oct 2005 A1
20050240378 Smith et al. Oct 2005 A1
20050243784 Fitzgerald et al. Nov 2005 A1
20050245243 Zuniga Nov 2005 A1
20050251370 Li et al. Nov 2005 A1
20050256781 Sands et al. Nov 2005 A1
20060009155 Paalasmaa et al. Jan 2006 A1
20060010467 Segel Jan 2006 A1
20060015254 Smith Jan 2006 A1
20060020480 Hickey Jan 2006 A1
20060022846 Tummala Feb 2006 A1
20060028400 Lapstun et al. Feb 2006 A1
20060030354 Ho et al. Feb 2006 A1
20060046740 Johnson Mar 2006 A1
20060052090 Behr et al. Mar 2006 A1
20060111089 Winter et al. May 2006 A1
20060123053 Scannell Jun 2006 A1
20060142024 Thalanany et al. Jun 2006 A1
20060161469 Root et al. Jul 2006 A1
20060164259 Winkler et al. Jul 2006 A1
20060178140 Smith et al. Aug 2006 A1
20060187017 Kulesz et al. Aug 2006 A1
20060194595 Myllynen et al. Aug 2006 A1
20060200480 Harris et al. Sep 2006 A1
20060265238 Perrier et al. Nov 2006 A1
20060271560 Mitchell Nov 2006 A1
20060293065 Chew et al. Dec 2006 A1
20060294147 Root et al. Dec 2006 A1
20070001904 Mendelson Jan 2007 A1
20070005363 Cucerzan et al. Jan 2007 A1
20070021906 Yeh et al. Jan 2007 A1
20070050128 Lee et al. Mar 2007 A1
20070061300 Ramer et al. Mar 2007 A1
20070061844 Hakusui et al. Mar 2007 A1
20070072595 Pi et al. Mar 2007 A1
20070094071 Seraji et al. Apr 2007 A1
20070094262 Suzuki et al. Apr 2007 A1
20070112511 Burfeind et al. May 2007 A1
20070127423 Ho Jun 2007 A1
20070162320 Joshi et al. Jul 2007 A1
20070162328 Reich Jul 2007 A1
20070168131 Root et al. Jul 2007 A1
20070168524 Chao et al. Jul 2007 A1
20070180119 Khivesara et al. Aug 2007 A1
20070192159 Root et al. Aug 2007 A1
20070197231 Lin Aug 2007 A1
20070249323 Lee et al. Oct 2007 A1
20070260531 Bezancon Nov 2007 A1
20070260708 Beaton et al. Nov 2007 A1
20070260741 Bezancon Nov 2007 A1
20070270165 Poosala Nov 2007 A1
20070270166 Hampel et al. Nov 2007 A1
20070293240 Drennan Dec 2007 A1
20080020702 Jendbro et al. Jan 2008 A1
20080021645 Lau et al. Jan 2008 A1
20080070550 Hose Mar 2008 A1
20080082264 Hill et al. Apr 2008 A1
20080084857 Gorti et al. Apr 2008 A1
20080134043 Georgis et al. Jun 2008 A1
20080134258 Goose et al. Jun 2008 A1
20080140318 Breed Jun 2008 A1
20080157990 Belzer et al. Jul 2008 A1
20080160956 Jackson et al. Jul 2008 A1
20080161012 Haran et al. Jul 2008 A1
20080162036 Breed Jul 2008 A1
20080183710 Serjeantson et al. Jul 2008 A1
20080189028 Nair et al. Aug 2008 A1
20080207183 Root et al. Aug 2008 A1
20080270030 Copley Oct 2008 A1
20080271120 Parkes et al. Oct 2008 A1
20080275759 Parkes et al. Nov 2008 A1
20080294478 Joshi et al. Nov 2008 A1
20080313037 Root et al. Dec 2008 A1
20080319652 Moshfeghi Dec 2008 A1
20080319653 Moshfeghi Dec 2008 A1
20090061903 Khokhar Mar 2009 A1
20090073885 Jalil et al. Mar 2009 A1
20090083150 Mashinsky Mar 2009 A1
20090131080 Nadler et al. May 2009 A1
20090156161 Strahs Jun 2009 A1
20090176511 Morrison Jul 2009 A1
20090176512 Morrison Jul 2009 A1
20090177374 Liu Jul 2009 A1
20090198641 Tortoriello Aug 2009 A1
20090205036 Slaton et al. Aug 2009 A1
20090209233 Morrison Aug 2009 A1
20090210441 Mercer et al. Aug 2009 A1
20090233575 Morrison Sep 2009 A1
20090233633 Morrison Sep 2009 A1
20090239511 Chen et al. Sep 2009 A1
20090240428 Shahrestani Sep 2009 A1
20090265099 Gottlieb Oct 2009 A1
20090275348 Weinreich et al. Nov 2009 A1
20090285483 Guven et al. Nov 2009 A1
20090287587 Bloebaum Nov 2009 A1
20090305645 Watanabe Dec 2009 A1
20100009657 Dingler et al. Jan 2010 A1
20100013629 Sznaider et al. Jan 2010 A1
20100036717 Trest Feb 2010 A1
20100042483 Hipsher Feb 2010 A1
20100069052 Ahomaki et al. Mar 2010 A1
20100069093 Morrison Mar 2010 A1
20110066497 Gopinath et al. Mar 2011 A1
20110128144 Baron et al. Jun 2011 A1
20120085828 Ziegler Apr 2012 A1
20120099756 Sherman et al. Apr 2012 A1
20120116861 Dobyns May 2012 A1
20120173075 Mays Jul 2012 A1
20120229624 Calman et al. Sep 2012 A1
20120229657 Calman et al. Sep 2012 A1
20120278172 Mercuri et al. Nov 2012 A1
20130029693 Bradley, Jr. et al. Jan 2013 A1
20130046589 Grigg et al. Feb 2013 A1
20130080055 Speier et al. Mar 2013 A1
20130085673 Cavalcante et al. Apr 2013 A1
20130091452 Sorden Apr 2013 A1
20130165070 Hoffberg Jun 2013 A1
20130290106 Bradley et al. Oct 2013 A1
20130057551 Ebert et al. Dec 2013 A1
20140137644 Root et al. May 2014 A1
20140258109 Jiang et al. Sep 2014 A1
20150182843 Esposito Jul 2015 A1
20150186538 Yan Jul 2015 A1
20170295265 Hala et al. Oct 2017 A1
Foreign Referenced Citations (150)
Number Date Country
2001277030 Mar 2006 AU
2006204945 Jul 2006 AU
2007207616 Jul 2007 AU
2006202473 Jan 2010 AU
2012200288 Feb 2012 AU
2 418 268 Jan 2002 CA
2418268 Jan 2002 CA
2514868 Aug 2004 CA
2594001 Jul 2006 CA
1230265 Sep 1999 CN
1449615 Oct 2003 CN
1659602 Aug 2005 CN
1745540 Mar 2006 CN
101083784 Dec 2007 CN
101120316 Feb 2008 CN
102682395 Sep 2012 CN
0436263 Jul 1991 EP
0703463 Mar 1996 EP
0798539 Oct 1997 EP
1143399 Oct 2001 EP
1303965 Apr 2003 EP
1473684 Nov 2004 EP
1593085 Nov 2005 EP
1856608 Nov 2007 EP
1912409 Apr 2008 EP
1999665 Dec 2008 EP
2115613 Nov 2009 EP
2720481 Apr 2014 EP
2201865 Sep 1988 GB
2216319 Oct 1989 GB
1065596 Mar 1989 JP
06508964 Oct 1994 JP
08221694 Aug 1996 JP
H10-65596 Mar 1998 JP
H1128879 Feb 1999 JP
11-136365 May 1999 JP
H11-215569 Aug 1999 JP
2000030148 Jan 2000 JP
2000167232 Jun 2000 JP
2001126170 May 2001 JP
2001135285 May 2001 JP
2001175718 Jun 2001 JP
2001-229168 Aug 2001 JP
2001282831 Oct 2001 JP
2001290727 Oct 2001 JP
2002019928 Jan 2002 JP
2002028137 Jan 2002 JP
2002056156 Feb 2002 JP
2002162478 Jun 2002 JP
2002216021 Aug 2002 JP
2002251484 Sep 2002 JP
2002255465 Sep 2002 JP
2002255465 Sep 2002 JP
2002269335 Sep 2002 JP
2002303527 Oct 2002 JP
2002324075 Nov 2002 JP
2003099350 Apr 2003 JP
2003186900 Jul 2003 JP
2003187371 Jul 2003 JP
2003196284 Jul 2003 JP
2003208367 Jul 2003 JP
200245339 Sep 2003 JP
2003272078 Sep 2003 JP
2003280561 Oct 2003 JP
2003281694 Oct 2003 JP
2003281694 Oct 2003 JP
2003323528 Nov 2003 JP
2003323570 Nov 2003 JP
2003337874 Nov 2003 JP
2004505501 Feb 2004 JP
200427044 Apr 2004 JP
2004110496 Apr 2004 JP
2004511836 Apr 2004 JP
2004514333 May 2004 JP
2004157863 Jun 2004 JP
2004529543 Sep 2004 JP
2004282610 Oct 2004 JP
2004328308 Nov 2004 JP
2004334782 Nov 2004 JP
2004538558 Dec 2004 JP
2005073147 Mar 2005 JP
2005080208 Mar 2005 JP
2005094229 Apr 2005 JP
2005175896 Jun 2005 JP
2005184065 Jul 2005 JP
2005293255 Oct 2005 JP
2005-309489 Nov 2005 JP
2006011617 Jan 2006 JP
2006-48295 Feb 2006 JP
2006107136 Apr 2006 JP
2006113620 Apr 2006 JP
2006127144 May 2006 JP
2006198838 Aug 2006 JP
2006520497 Sep 2006 JP
2007-041642 Feb 2007 JP
2007-265449 Oct 2007 JP
2008305037 Dec 2008 JP
2009524150 Jun 2009 JP
2010530187 Sep 2010 JP
2011242924 Dec 2011 JP
20010100635 Nov 2001 KR
20020090910 Dec 2002 KR
20030075238 Sep 2003 KR
20040010513 Jan 2004 KR
20050080370 Aug 2005 KR
20110012122 Feb 2011 KR
20140100173 Aug 2014 KR
20140100173 Aug 2014 KR
M445732 Jan 2013 TW
9607110 Mar 1996 WO
9741654 Nov 1997 WO
9802824 Jan 1998 WO
9819479 May 1998 WO
9923591 May 1999 WO
1999057700 Nov 1999 WO
0004730 Jan 2000 WO
0004734 Jan 2000 WO
0004737 Jan 2000 WO
0013047 Mar 2000 WO
0041104 Jul 2000 WO
200041104 Jul 2000 WO
2001095140 Dec 2001 WO
0209353 Jan 2002 WO
200209353 Jan 2002 WO
2002009353 Jan 2002 WO
0221864 Mar 2002 WO
0225964 Mar 2002 WO
200225964 Mar 2002 WO
2002025964 Mar 2002 WO
WO 0221864 Mar 2002 WO
WO-0228137 Apr 2002 WO
02039217 May 2002 WO
200239217 May 2002 WO
2002039732 May 2002 WO
WO-0239217 May 2002 WO
0249310 Jun 2002 WO
2002049310 Jun 2002 WO
2003069576 Aug 2003 WO
2004059996 Jul 2004 WO
WO-2004059996 Jul 2004 WO
04070993 Aug 2004 WO
2005040847 May 2005 WO
06076460 Jul 2006 WO
WO 2006094086 Sep 2006 WO
WO-2006094086 Sep 2006 WO
WO-2006105088 Oct 2006 WO
07084458 Jul 2007 WO
WO-2008157334 Dec 2008 WO
WO-2010131629 Nov 2010 WO
WO 2014161078 Oct 2014 WO
Non-Patent Literature Citations (57)
Entry
Enrique R. Vivoni et al, Real-time streaming of environmental field data, Computers & Geosciences 29 (2003) 457-468 (Year: 2003).
Maxima Advantage Call Center CRM Solutions, vol. 18, No. 7, Jan. 2000.
MobileCentrex.com Web Pages, Mobile Centrex, Mar. 2003, Retrieved from Archive.orq Oct. 15, 2008.
Murrary R. Barrick et al., “The Big Five Personality Dimensions and Job Performance: A Meta-Analysis”; Personnel Psychology; Spring 1991; vol. 44; No. 1, pp. 1-26.
Myers, “Personal Digital Radio Service,” IBM Technical Disclosure Bulletin, Aug. 1995, pp. 315-316, vol. 38, No. 8, IBM Corporation, Armonk, New York, USA.
Author Unknown, “The Nexterna Clearview Dispatch Module,” 2005, 2 pp., Nexterna Limited, Burlington, Ontario, Canada.
Author Unknown, “Dispenser Services Inc. Selects Web-Based Field Resource Management Solution From Nexterna,” PR Newswire, Aug. 14, 2002, 2 pp., ProQuest LLC, New York, NY, USA.
Author Unknown, “Nexterna Announces Newest Release of Nexterna Clearview,” PR Newswire, Sep. 26, 2002, 2 pp., ProQuest LLC, New York, NY, USA.
Author Unknown, “Nexterna.com Web Pages Nexterna Inc. 2002-2003,” retrieved from Archive. Org on May 20 2009, 31 pp.
Author Unknown, “Nexterna Optitrac,” Nexterna Inc. 2002-2003, retrieved from Archive.Org on May 20, 2009, pp. 32-38.
Bisio, et al., “Effective Resource Scheduling in Work Force Management Context for Telecommunication Work Centers,” Centro Studi E. Laboratori Telecommunicazioni Via G. Reiss Romoli, 1999, pp. 1-5, vol. 274, Torino, Italy.
Boselly III, et al., “Road Weather Information Systems vol. 2: Implementation Guide,” Strategic Highway Research Program, 1993, pp. 1-82, National Academy of Sciences, Washington, DC, USA.
Collins, et al., “Automated Assignment and Scheduling of Service Personnel,” AI in Corporate Service & Support, Apr. 1994, pp. 33-39, IEEE Expert.
Author Unknown, “Computer-Assisted Dispatch,” definition retrieved from Wikipedia.org on Oct. 15, 2008, 15 pp.
Author Unknown, “Dispatch (Logistics),” definition retrieved from Wikipedia.org on Oct. 15, 2008, 11 pp.
Feldman, et al., “Making Cell Phones Indispensable for Techs,” Contractor, Jul. 2004, pp. 40 & 54, vol. 51, No. 7, ABI/INFORM Global.
Author Unknown, “iMedeon Announces Support for Microsoft Windows CE Devices for its Wireless Web-based Mobile Workforce Management Applications,” Business Wire, Feb. 5, 2001.
Jing, et al., “WHAM: Supporting Mobile Workforce and Applications in Workflow Environments RIDE 2000,” Research Issues in Data Engineering, Feb. 2000, 8 pp.
Kruse, “Snow and Ice Go Hi-Tech,” Mobile Radio Technology Magazine, Oct. 1, 1999, pp. 1-4.
Lesaint, et al., “Dynamic Workforce Management,” AI for Network: Management Systems, Apr. 14, 1997, pp. 1-5, IEE, London, UK.
Author Unknown, “TMC Labs Reviews—Maxima Advantage,” Call Center CRM Solutions, Jan. 2000, 4 pp., vol. 18, No. 7, ABI/Inform Global.
Author Unknown, “MDSI Mobile Data Solution—Innovative and Effective Mobile Workforce Management,” MDSI-Advantex.com, Feb. 1999, 19 pp.
Author Unknown, “MobileAria and WeatherBank Announce Partnership to Avert Delays, Increase Driver Productivity,” Business Wire, Jun. 26, 2001, pp. 1-2, ProQuest LLC, New York, NY, USA.
Author Unknown, “Real-Time Wireless Workforce Solutions—MC Field Manager,” Mobile Centrex Inc., retrieved from Archive.org on Oct. 15, 2008, 7 pp.
Author Unknown, “Real-Time Wireless Workforce Solutions—With Mobile Centrex You Can . . . ,” Mobile Centrex Inc., retrieved from Archive.org on Oct. 15, 2008, 5 pp.
Author Unknown, “Real-Time Wireless Workforce Solutions—Features That Work for You,” Mobile Centrex Inc., retrieved from Archive.org on Oct. 15, 2008, 10 pp.
Partyka, et al., “On the Road to Service,” ORMS Today, Aug. 2000, pp. 1-8, Lionheart Publishing, Inc., Marietta, GA, USA.
Rhinehart, “City Uses GIS to Monitor Snow-Fighting Fleet,” The American City & County, Apr. 1999, p. 31, vol. 144, No. 4, ABI/Inform Global.
Timmins, “Mobile Workers Sync Up—PeopleSoft, Eduprise.com Team for KCVU,” IT Support News, Dec. 1999, pp. 28 & 30, vol. 19, No. 13, ProQuest Computing.
Author Unknown, “Vantive and MDSI to Provide Enterprise Wide Wireless Field Service Solution,” PR Newswire, Oct. 26, 1998, pp. 1-3, ProQuest LLC, New York, NY, USA.
Author Unknown, “Visual Staff Scheduler Pro Version 3.0 User Guide,” 1997, pp. 1-152, Atlas Business Solutions, Inc.
Weigel, et al., “Applying GIS and OR Techniques to Solve Sears Technician-Dispatching and Home-Delivery Problems,” Interfaces, Jan.-Feb. 1999, pp. 112-130, vol. 29, No. 1, Institute for Operations Research and Management Sciences.
Author Unknown, “iMedeon Announces Support for Microsoft Windows CE Devices for its Wireless, Web-Based Mobile Workforce Management Applications,” Business Wire, Feb. 5, 2001, 2 pp., ProQuest LLC, New York, NY, USA.
Howard County Bureau of Highways, “Web-Enabled Snowplow Tracking System,” Howard County, 1999, pp. 1-11.
Author Unknown, “Motorola iRadio(TM) System Hits the Road at Consumer Electronics Show 2001,” PR Newswire, Jan. 4, 2001, pp. 1-2, ProQuest LLC, New York, NY, USA.
Le Comte, “Using Your Computer—Software Review,” Weatherwise, Aug. 1991, pp. 48-51, vol. 44, No. 4.
Freedman, “Pinpoint Weather,” Technology Review, Jun. 2003, pp. 52-58, vol. 106, No. 5, ABI/Inform Global.
Author Unknown, “Yahoo! and Weather.com Forge Multi-National Agreement to Provide Enhanced Weather Reports,” Business Wire, Jan. 7, 2002, pp. 1-3, ProQuest LLC, New York, NY, USA.
Ohta, et al., “Real-World Community Platform: Mobile Multi-User Communication System,” Multimedia Laboratories, NTT DoCoMo, Inc., 2000, pp. 601-606.
Lee, et al., “Statistical Analysis with Arcview GIS,” 2001, pp. 1-192, John Wiley & Sons, Inc., New York, NY, USA.
Ohbuchi, et al., “Shape-Similarity Search of Three-Dimensional Models Using Parameterized Statistics,” Oct. 9-11, 2002, in the Proceedings of the 10th Pacific Conference on Computer Graphics and Applications, pp. 265-274, IEEE.
Myers, “Personal Digital Radio Service,” IBM Technical Bulletin, vol. 38, No. 8, p. 315, Aug. 1995.
Oh et al., “A Model for Role Administration Using Organization Structure”,SACMAT '02, Jun. 3-4, 2002, pp. 155-162.
Botha, R.A. et al., “Separation of duties for access control enforcement in workflow environments”, IBM Systems Journal, vol. 40, No. 3, 2001, pp. 666-682.
What is Access Management?, 2AB Inc., Jan. 2004, 6 pages.
Harris, Shon, Mike Myer's Certification Passport CISSP, McGraw-Hill, 2002, ISBN 0-07-222578-5, Chapter 2, 54 pages.
Park, Joon S. et al., “Role-Based Access Control on the Web”, ACM Transactions on Information and System Security, vol. 4, No. 1, Feb. 2001, pp. 37-71.
McCormick, Vickie L., “Using HR Information systems for HIPAA role-vased access compliance”, Journal of Health Care Compliance, vol. 5, No. 2, Mar./Apr. 2003, pp. 31-32.
Langforn, Jeff, “Implementating Least Privilege at your Enterprise”, SANS Institute, Jul. 5, 2003, 21 pages.
Cuppens, Frederick et al., “Modeling Contexts in the Or-BAC Model”, ACSAC'03, 2003, pp. 1-10.
Principles of Least Privilege definition, Wikipedia.org, Reprinted Jul. 11, 2012, 5 pages.
Sakagumi et al., “ActiveTrace: Mobile Marketing Platform for Location and Behavior-Dependent Information Distribution and Analysis,” Collection of Papers/Multimedia, Distribution, Collaboration and Mobile (DICOMO) Symposium, Jun. 27, 2001, vol. 2001, Abstract No. 7, pp. 501-506.
International Search Report for PCT/US2016/053456 dated Jan. 5, 2017.
International Search Report for PCT/US2016/066198 dated Mar. 9, 2017.
International Search Report PCT/US2017/012155, dated Apr. 30, 2017.
International Patentability Report and Written Opinion issued for PCT/US2015/067694 dated Jun. 27, 2017.
Mcnamee, Ethical Issues Arising From the Real Time Tracking and Monitoring of People Using GPS-Based Location Services.
Related Publications (1)
Number Date Country
20140137644 A1 May 2014 US
Continuations (1)
Number Date Country
Parent 11035654 Jan 2005 US
Child 14073418 US