Correctional facilities provide inmates with the ability to communicate with friends, families, and visitors as it improves recidivism and provides incentives for inmates to follow rules and policies of the facility. In addition to traditional telephone calls and telephone visitations, correctional facilities seek to offer a wide variety of communication services to inmates, such as video visitation and video calls, among others. However, as the amount of communication options available to inmates increases, an increased amount of monitoring is required for these communications.
Embodiments of the disclosure are described with reference to the accompanying drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Additionally, the left most digit(s) of a reference number identifies the drawing in which the reference number first appears. In the accompanying drawings:
The disclosure will now be described with reference to the accompanying drawings. In the drawings, like reference numbers generally indicate identical, functionally similar, and/or structurally similar elements. The drawing in which an element first appears is indicated by the leftmost digit(s) in the reference number.
Overview
The present disclosure describes a monitoring environment that monitors an activity for activity that may be indicative of being prohibited by the local, the state, and/or the national governing authorities, namely suspicious activity, or activity that is prohibited by the local, the state, and/or the national governing authorities, namely prohibited activity. The monitoring environment verifies the activity is actually being monitored within the monitoring environment. The verification can require one or more monitoring persons monitoring the activity to perform one or more tasks to verify their attentiveness in monitoring the activity. The one or more tasks can be as simple as activating a checkbox or providing a code or an electronic signature to provide some examples, although more complicated tasks, such as a biometric verification such as a retinal, a facial, and/or a voice verification to provide some examples, are possible as will be recognized by those skilled in the relevant art(s) without departing from the spirit and scope of the present disclosure.
Exemplary Monitoring Platform
The controlled environment 102 can be characterized as including one or more access restriction controls to control access to the controlled environment 102, access from the controlled environment 102, and/or access within the controlled environment 102. For example, the one or more access restriction controls can restrict entry by the general public into the controlled environment 102, can restrict those within the controlled environment 102 from leaving the controlled environment 102, and/or can restrict activity of those within the controlled environment 102. In some situations, the access restriction controls can be prescribed by the local, the state, and/or the national governing authorities.
As illustrated in
Preferably, the uncontrolled environment 104 is situated in a location that is remote from the controlled environment 102, namely outside of the controlled environment 102, such that the uncontrolled environment 104 does not include the one or more access restriction controls of the controlled environment 102. For example, the general public is free to enter and/or to exit the uncontrolled environment 104 without being subject to the one or more access restriction controls of the controlled environment 102. However, those skilled in the relevant art(s) will recognize that the uncontrolled environment 104 can include other access restriction controls that can be prescribed by the local, the state, and/or the national governing authorities without departing from the spirit and scope of the present disclosure.
As additionally illustrated in
The monitoring platform 106 can operate in a monitor mode of operation or in a verification mode of operation. In an exemplary embodiment, the monitoring platform 106 can simultaneously operate in the monitor mode of operation or in the verification mode of operation; however, in some situations, the monitoring platform 106 can operate in the monitor mode of operation or in the verification mode of operation and can switch between the monitor mode of operation and the verification mode of operation when appropriate. In the monitoring mode of operation, the monitoring platform 106 monitors the activity within the monitoring environment 100. In the exemplary embodiment as illustrated in
In the monitoring mode of operation, the monitoring platform 106 monitors the activity within the monitoring environment 100 as it occurs in real-time, or near-time, or the activity within the monitoring environment 100 can be stored and monitored by the monitoring platform 106 after its occurrence. In an exemplary embodiment, the monitoring platform 106 can monitor less than all of the activity within the monitoring environment 100. In this exemplary embodiment, the specific number of activities to be monitored, for example a percentage of the activity within the monitoring environment 100, can be prescribed by the local, the state, and/or the national governing authorities or a contract between the monitoring platform 106 and the local, the state, and/or the national governing authorities can specify the specific number of activities. In this exemplary embodiment, the monitoring platform 106 can measure the specific number of activities monitored and/or verified to be monitored by the monitoring platform 106 to ensure the monitoring platform 106 is performing in accordance with regulations of the local, the state, and/or the national governing authorities and/or the contract between the monitoring platform 106 and the local, the state, and/or the national governing authorities. In some situations, payment to the monitoring platform 106 for monitoring the activity within the monitoring environment 100 can be based upon whether the monitoring platform 106 is performing in accordance with the regulations by the local, the state, and/or the national governing authorities and/or the contract between the monitoring platform 106 and the local, the state, and/or the national governing authorities.
Generally, the activity can include activity within the controlled environment 102 and/or activity between the controlled environment 102 and the uncontrolled environment 104. In an exemplary embodiment, the activity within the controlled environment 102 can include communication-related activity which relates to communication, such as audio communication, video communication, and/or data communication to provide some examples, among the one or more insider persons 110 within the controlled environment 102. This communication-related activity can include incoming telephone calls to the controlled environment 102, calls from informants to the controlled environment 102, inmate to inmate calling within the controlled environment 102, inmate to inmate electronic message relay within the controlled environment 102, electronic messaging, text messaging, video conferencing, or other real-time communication within the controlled environment 102, voicemail messaging, or other non-real-time communication, within the controlled environment 102, visitation within the controlled environment 102, teletypewriter (TTY), or other types of signaling, within the controlled environment 102, Internet browsing within the controlled environment 102, pre-incarceration communication within the controlled environment 102, post-incarceration communication within the controlled environment 102, chatbot interaction within the controlled environment 102, non-scheduled video communication within the controlled environment 102, covert audio and/or video communication within the controlled environment 102, and/or transcriptions of communication within the controlled environment 102 to provide some examples.
In another exemplary embodiment, the activity within the controlled environment 102 can additionally, or alternatively, include non-communication activity which typically involves observation of the one or more insider persons 110 within the controlled environment 102. For example, the non-communication activity within the controlled environment 102 can include movement of the one or more insider persons 110 within the controlled environment 102. In this example, the controlled environment 102 can include one or more security cameras to view and/or to record the movement of the one or more insider persons 110 within the controlled environment 102. Other non-communication activity within the controlled environment 102 that can be monitored by the monitoring platform 106 can include visitations between the one or more insider persons 110 and the one or more outsider persons 114 occurring within the controlled environment 102, exercising activity of the one or more insider persons 110 within the controlled environment 102, leisure time activity of the one or more insider persons 110 within the controlled environment 102, mealtime activity of the one or more insider persons 110 within the controlled environment 102, educational activity of the one or more insider persons 110 within the controlled environment 102, and/or employment activity of the one or more insider persons 110 within the controlled environment 102.
In a further exemplary embodiment, the activity between the controlled environment 102 and the uncontrolled environment 104 can further, or alternatively, include communication-related activity which relates to communication, such as audio communication, video communication, and/or data communication to provide some examples, between the one or more insider persons 110 and the one or more outsider persons 114. This communication-related activity can include telephone calls between the controlled environment 102 and the uncontrolled environment 104, electronic messaging, text messaging, video conferencing, or other real-time communication between the controlled environment 102 and the uncontrolled environment 104, voicemail messaging, or other non-real-time communication, between the controlled environment 102 and the uncontrolled environment 104, teletypewriter (TTY), or other types of signaling, between the controlled environment 102 and the uncontrolled environment 104, non-scheduled video communication between the controlled environment 102 and the uncontrolled environment, covert audio and/or video communication between the controlled environment 102 and the uncontrolled environment 104, and/or transcriptions of communication between the controlled environment 102 and the uncontrolled environment 104 to provide some examples.
As additionally illustrated in
In the verification mode of operation, the monitoring platform 106 verifies the one or more monitoring persons 118 are monitoring the activity within the monitoring environment 100. The monitoring platform 106 determines whether the one or more monitoring persons 118 are attentive and reviewing the activity. For example, when the one or more warning alerts are generated by the one or more monitoring persons 118 within a predetermined amount of time, such as once every minute, once every couple of minutes, once every hour, or once every couple of hours to provide some examples, the monitoring platform 106 presumes the one or more monitoring persons 118 are attentive and reviewing the activity. However, in some situations, no warning alerts may be generated by the one or more monitoring persons 118 when reviewing the activity within the predetermined amount of time. In these situations, the monitoring platform 106 can require the one or more monitoring persons 118 to perform one or more tasks to verify the one or more monitoring persons 118 are attentive and reviewing the activity. The one or more tasks can be as simple as activating a checkbox, entering a response to a question, or providing a code or an electronic signature to provide some examples, although more complicated tasks, such as a biometric verification such as a retinal, a facial, and/or a voice verification to provide some examples, are possible as will be recognized by those skilled in the relevant art(s) without departing from the spirit and scope of the present disclosure. In some situations, one or more pop-windows or dialog boxes can appear to the one or more monitoring persons 118 notifying the one or more monitoring persons 118 to perform the one or more tasks and/or entering information requested by one or more tasks to be performed by the monitoring persons 118 during the verification mode of operation.
The communication network 108 includes one or more wireless communication networks and/or one or more wired communication networks for communicatively coupling the controlled environment 102, the uncontrolled environment 104, and the monitoring platform 106. The one or more wireless communication networks can include one or more cellular phone networks, wireless local area networks (WLANs), wireless sensor networks, satellite communication networks, terrestrial microwave networks, and/or other suitable networks that transmit data over a wireless-based communication technology that will be apparent to those skilled in the relevant art(s) without departing from the spirit and scope of the present disclosure. The one or more wired communication networks include one or more telephone networks, cable television networks, internet access networks, fiber-optic communication networks and/or other suitable networks that transmit data over a wire-based communication technology that will be apparent to those skilled in the relevant art(s) without departing from the spirit and scope of the present disclosure.
Exemplary Monitoring Center of the Exemplary Monitoring Platform
Generally, the monitoring server 202 controls distribution of text, audio, and/or video information relating to the activity and/or scheduling of the monitoring stations 206.1 through 206.n, the administrative station 208, monitoring persons 212.1 through 212.n associated with the monitoring stations 206.1 through 206.n, and/or an administrative person 214 associated with the administrative station 208 to monitor the text, the audio, and/or the video information. In the exemplary embodiment illustrated in
The monitoring server 202 schedules the monitoring stations 206.1 through 206.n, the administrative station 208, the monitoring persons 212.1 through 212.n, and/or the administrative person 214 to review the text, the audio, and/or the video information. For example, the monitoring server 202 schedules the monitoring stations 206.1 through 206.n, the administrative station 208, the monitoring persons 212.1 through 212.n, and/or the administrative person 214 to review the text, the audio, and/or the video information in a round-robin manner. Typically, the round-robin manner sequentially cycles through the monitoring stations 206.1 through 206.n, the administrative station 208, the monitoring persons 212.1 through 212.n, and/or the administrative person 214 one after another; however, those skilled in the relevant art(s) will recognize that the round-robin manner may cycle through the monitoring stations 206.1 through 206.n, the administrative station 208, the monitoring persons 212.1 through 212.n, and/or the administrative person 214 in any suitable order without departing from the spirit and scope of the present disclosure.
As another example, the monitoring server 202 schedules the monitoring stations 206.1 through 206.n, the administrative station 208, the monitoring persons 212.1 through 212.n, and/or the administrative person 214 to review the text, the audio, and/or the video information based upon abilities of the monitoring stations 206.1 through 206.n, the administrative station 208, the monitoring persons 212.1 through 212.n, and/or the administrative person 214. In an exemplary embodiment, the abilities of the monitoring persons 212.1 through 212.n, and/or the administrative person 214 can be stored by the monitoring server 202 in one or more monitoring profiles which can be maintained by the administrative station 208. In this exemplary embodiment, the one or more monitoring profiles can also include the type of information, such as the text, the audio, and/or the video information, that the monitoring persons 212.1 through 212.n, and/or the administrative person 214 is permitted and/or certified to review. In this example, the monitoring server 202 can schedule one or more monitoring persons from among the monitoring persons 212.1 through 212.n and/or the administrative person 214 familiar with a particular language and/or custom when the text, the audio, and/or the video information can be characterized as being in the particular language and/or custom. Otherwise, or additionally, in this example, the monitoring server 202 can schedule the monitoring persons 212.1 through 212.n and/or the administrative person 214 based on scores or grades, which are to be described in further detail below, of the monitoring persons 212.1 through 212.n and/or the administrative person 214. In an exemplary embodiment, those monitoring persons from among the monitoring persons 212.1 through 212.n having higher scores or grades can be scheduled more often than those monitoring persons from among the monitoring persons 212.1 through 212.n having lower scores or grades. As a further example, the monitoring server 202 can schedule the monitoring stations 206.1 through 206.n, the administrative station 208, the monitoring persons 212.1 through 212.n, and/or the administrative person 214 based workloads of the monitoring stations 206.1 through 206.n, the administrative station 208, the monitoring persons 212.1 through 212.n, and/or the administrative person 214. In another exemplary embodiment, those monitoring stations and/or persons having higher workloads, for example, scheduled more frequently, can be scheduled less often than those monitoring stations and/or persons having lower workloads. In some situations, the monitoring server 202 can use a priority based scheduling when scheduling the monitoring stations 206.1 through 206.n, the administrative station 208, the monitoring persons 212.1 through 212.n, and/or the administrative person 214 to review the text, the audio, and/or the video information. In these situations, the monitoring server 202 schedules higher priority activity, such as real-time activity like electronic or text messages to provide some examples, to be reviewed sooner than lower priority activity such as non-real-time activity like voicemail messages to provide some examples.
In some situations, the monitoring server 202 can process the text, the audio, and/or the video information for automated review. In these situations, the monitoring server 202 automatically reviews the text, the audio, and/or the video information for the presence of the suspicious activity and/or the prohibited activity, such as call forwarding, three way calling, and/or dialing during communication to provide some examples, as described above in
In some situations, the monitoring server 202 converts the text, the audio, and/or the video information, into a format that is suitable for monitoring by the monitoring stations 206.1 through 206.n and/or the administrative station 208. For example, the monitoring server 202 can transcribe the text, the audio, and/or the video information into other text, audio, and/or video information that is suitable for monitoring by the monitoring stations 206.1 through 206.n and/or the administrative station 208. As an example of this transcription, the monitoring server 202 can transcribe audio information corresponding to an audio communication and/or video information corresponding to a video communication into text information. In this example, the transcription of the audio information and/or the video information into the text information allows the monitoring server 202 to automatically search the text information for one or more key words and/or key phrases from among a dictionary of key words and/or key phrases and to generate the one or more automatic warning alerts when the text information includes the one or more key words and/or key phrases.
In some situations, the monitoring server 202 can compress, decompress, encrypt and/or decrypt the text, the audio, and/or the video information in accordance with one or more compression algorithms and/or one or more encryption algorithms. The one or more compression algorithms can include any suitable lossless data compression algorithm and/or any suitable lossy data compression algorithm that will be apparent to those skilled in the relevant art(s) without departing from the spirit and scope of the present disclosure. The one or more encryption algorithms can include any suitable symmetric key algorithm, any suitable private key algorithm and/or any suitable public key algorithm that will be apparent to those skilled in the relevant art(s) without departing from the spirit and scope of the present disclosure.
The monitoring storage 204 stores the text, the audio, and/or the video information for review by the monitoring stations 206.1 through 206.n as well as other data as to be described in further detail below. The monitoring storage 204 can include a read only memory (ROM), a random-access memory (RAM), a magnetic disk storage medium, a solid-state storage medium, an optical storage media, and/or a flash memory device to provide some examples for storing the text, the audio, and/or the video information.
The monitoring stations 206.1 through 206.n can operate in the monitor mode of operation or in the verification mode of operation as described above in
Thereafter, the monitoring stations 206.1 through 206.n process the text, the audio, and/or the video information for review by the monitoring persons 212.1 through 212.n. Generally, the monitoring persons 212.1 through 212.n review the text, the audio, and/or the video information that they are scheduled to review for the presence of the suspicious activity and/or the prohibited activity as described above in
Often times, the monitoring stations 206.1 through 206.n include one or more graphical user interfaces (GUIs) for interfacing with the monitoring persons 212.1 through 212.n. In an exemplary embodiment, the monitoring stations 206.1 through 206.n can display the text, the audio, and/or the video information using one or more graphical user interfaces (GUIs) to allow the text, the audio, and/or the video information to be monitored by the monitoring persons 212.1 through 212.n. In this exemplary embodiment, a first portion of the one or more GUIs includes one or more activity display areas for displaying the text, the audio, and/or the video information. This activity display area can include one or more activity display area controls allowing the monitoring persons 212.1 through 212.n to pause, stop, fast forward, rewind, and/or play the text, the audio, and/or the video information. The activity display area can also include one or more metadata display areas for displaying the metadata included within the text, the audio, and/or the video information and/or other data derived from the metadata included within the text, the audio, and/or the video information. Additionally, or alternatively, in this exemplary embodiment, a second portion of the one or more GUIs includes a warning alert area for generating the one or more manual warning alerts and/or for verifying the one or more automatic warning alerts. Further, or in the alternative, in this exemplary embodiment, one or more pop-windows or dialog boxes can appear to the monitoring persons 212.1 through 212.n notifying the monitoring persons 212.1 through 212.n to perform the one or more tasks and/or entering information requested by one or more tasks to be performed by the monitoring persons 212.1 through 212.n during the verification mode of operation as to be described in further detail below.
In the exemplary embodiment illustrated in
The administrative station 208 and/or the administrative person 214 oversee operation of the monitoring center 200. Generally, the administrative person 214 can be characterized as being a root user, an administrator, an administrative user, or a supervisor user having more privileges than the monitoring persons 212.1 through 212.n. For example, the administrative person 214 can edit the one or more monitoring profiles of the monitoring persons 212.1 through 212.n, edit the one or more manual warning alerts, such as the annotation, the flag, the bookmark, the audible alert, and/or the video alert to provide some examples, generated by the monitoring persons 212.1 through 212.n, edit the monitoring schedule from the monitoring server 202, and/or edit the scores or grades of the monitoring persons 212.1 through 212.n.
The administrative station 208 can be implemented as a mobile communication device such as a smartphone to provide an example, a desktop computer, a tablet computers, a personal digital assistants (PDA), or any other suitable electronic device capable of performing the functions of the administrative station 208 as described herein that will be apparent to those skilled in the relevant art(s) without departing from the spirit and scope of the present disclosure. In an exemplary embodiment, the administrative station 208 can review the text, the audio, and/or the video information in a substantially similar manner as the monitoring stations 206.1 through 206.n.
In some situations, the administrative station 208 and/or the administrative person 214 receives a notification, such as a text message, an electronic mail message, or other electronic message, audible alert, video alert, from the monitoring stations 206.1 through 206.n when the one or more manual warning alerts have generated by the monitoring persons 212.1 through 212.n indicating further review of the text, the audio, and/or the video information. In these situations, the administrative station 208 can retrieve the text, the audio, and/or the video information and the one or more manual warning alerts from the storage monitoring storage 204.
Preferably in these situations, the administrative person 214 reviews the text, the audio, and/or the video information having the one or more manual warning alerts and/or the one or more automatic alerts to verify the presence of the suspicious activity and/or the prohibited activity within the text, the audio, and/or the video information. In an exemplary embodiment, the administrative station 208 authenticates credentials, such as a username, a password, and/or an authentication code to provide some examples of the administrative person 214, before the administrative person 214 can access the administrative station 208 to review the text, the audio, and/or the video information. In another exemplary embodiment, the administrative station 208 includes a substantially similar GUI as the monitoring stations 206.1 through 206.n to allow the administrative person 214 to verify the suspicious activity and/or the prohibited activity within the text, the audio, and/or the video information. In some situations, the administrative station 208, as well as the monitoring stations 206.1 through 206.n, can affect the activity when the presence of the suspicious activity and/or the prohibited activity within the text, the audio, and/or the video information has been verified. For example, communication within the monitoring environment can be interrupted and/or disconnected upon verification of the presence of the suspicious activity and/or the prohibited activity. In an exemplary embodiment, the administrative station 208, as well as the monitoring stations 206.1 through 206.n, can store a listing of automatic and/or manual warning alerts which is indexed to various actions to be performed by the monitoring stations 206.1 through 206.n and/or the administrative station 208. In this exemplary embodiment, the monitoring stations 206.1 through 206.n and/or the administrative station 208 can proceed with the action, such as annotating the suspicious activity and/or the prohibited activity, interrupting and/or disconnecting the communication within the monitoring environment, and/or notifying the local, the state, and/or the national governing authorities of the suspicious activity and/or the prohibited activity to provide some examples, corresponding with the one or more automatic warning alerts and/or the one or more manual warning alerts as prescribed in the listing of warning alerts.
In the exemplary embodiment illustrated in
The communication network 210 includes one or more wireless communication networks and/or one or more wired communication networks for communicatively coupling the monitoring server 202, the monitoring storage 204, the monitoring stations 206.1 through 206.n, and the administrative station 208. The one or more wireless communication networks can include one or more cellular phone networks, wireless local area networks (WLANs), wireless sensor networks, satellite communication networks, terrestrial microwave networks, and/or other suitable networks that transmit data over a wireless-based communication technology that will be apparent to those skilled in the relevant art(s) without departing from the spirit and scope of the present disclosure. The one or more wired communication networks include one or more telephone networks, cable television networks, internet access networks, fiber-optic communication networks and/or other suitable networks that transmit data over a wire-based communication technology that will be apparent to those skilled in the relevant art(s) without departing from the spirit and scope of the present disclosure.
Exemplary Operation of the Monitoring Center
At step 302, the operational control flow 300 reviews text, audio, and/or video information relating to the activity for the suspicious activity and/or the prohibited activity. Typically, the operational control flow 300 generate one or more manual warning alerts, such as an annotation, a flag, a bookmark, an audible alert, and/or a video alert to provide some examples, when the suspicious activity and/or the prohibited activity is present within the activity. The simplest warning alerts can include one or more annotations of the suspicious activity and/or the prohibited activity, although warning alerts of much greater complexity can be used, such notifying the local, the state, and/or the national governing authorities of the suspicious activity and/or the prohibited activity to provide an example, without departing from the spirit and scope of the present disclosure.
At step 304, the operational control flow 300 determines whether the one or more manual warning alerts have been generated in step 302 within a predetermined amount of time. The operational control flow 300 proceeds to step 306 to verify a monitoring person is attentive and reviewing the text, the audio, and/or the video information when the one or more manual warning alerts have not been generated in step 302 within the predetermined amount of time. Otherwise, the operational control flow 300 reverts to step 302 to continue reviewing the text, the audio, and/or the video information.
At step 306, the operational control flow 300 requires the monitoring person to perform one or more tasks to verify the monitoring person is attentive and reviewing the activity. The one or more tasks can be as simple as activating a checkbox or providing a code or an electronic signature to provide some examples, although more complicated tasks, such as a biometric verification such as a retinal, a facial, and/or a voice verification to provide some examples, are possible as will be recognized by those skilled in the relevant art(s) without departing from the spirit and scope of the present disclosure.
Exemplary Computer System for Implementing the Exemplary Design Environment
The computer system 400 includes one or more processors 404, also referred to as central processing units, or CPUs, to execute operations of the monitoring server 202, the monitoring storage 204, the monitoring stations 206.1 through 206.n, and the administrative station 208 as described above in
The computer system 400 also includes user input/output device(s) 403, such as monitors, keyboards, pointing devices, etc., which communicate with communication infrastructure 406 through user input/output interface(s) 402.
The computer system 400 also includes a main or primary memory 408, such as a random-access memory (RAM) to provide an example. The main memory 408 can include one or more levels of cache. The main memory 408 has stored therein control logic (i.e., computer software) and/or data, to perform operations of the monitoring server 202, the monitoring storage 204, the monitoring stations 206.1 through 206.n, and the administrative station 208 as described above in
The computer system 400 can also include one or more secondary storage devices or memory 410 to store data for performing operations of the monitoring server 202, the monitoring storage 204, the monitoring stations 206.1 through 206.n, and the administrative station 208 as described above in
According to an exemplary embodiment, the one or more secondary storage devices or memory 410 may include other means, instrumentalities or other approaches for allowing computer programs and/or other instructions and/or data to be accessed by computer system 400. Such means, instrumentalities or other approaches may include, for example, a removable storage unit 422 and an interface 420. Examples of the removable storage unit 422 and the interface 420 may include a program cartridge and cartridge interface (such as that found in video game devices), a removable memory chip (such as an EPROM or PROM) and associated socket, a memory stick and USB port, a memory card and associated memory card slot, and/or any other removable storage unit and associated interface.
The computer system 400 may further include a communication or network interface 424. The communication or network interface 424 enables the computer system 400 to communicate and interact with any combination of remote devices, remote networks, remote entities, etc. (individually and collectively referenced by reference number 428). For example, the communication or network interface 424 may allow the computer system 400 to communicate with the remote devices 428 over a communication path 426, which may be wired and/or wireless, and which may include any combination of LANs, WANs, the Internet, etc. Control logic and/or data may be transmitted to and from the computer system 400 via communication path 426.
In an embodiment, a tangible apparatus or article of manufacture comprising a tangible computer useable or readable medium having control logic (software) stored thereon is also referred to herein as a computer program product or program storage device. This includes, but is not limited to, the computer system 400, the main memory 408, the secondary memory 410, and the removable storage units 418 and 422, as well as tangible articles of manufacture embodying any combination of the foregoing. Such control logic, when executed by one or more data processing devices (such as computer system 400), causes such data processing devices to operate as described herein.
Based on the teachings contained in this disclosure, it will be apparent to persons skilled in the relevant art(s) how to make and use the invention using data processing devices, computer systems and/or computer architectures other than that illustrated in
The Detailed Description referred to accompanying figures to illustrate exemplary embodiments consistent with the disclosure. References in the disclosure to “an exemplary embodiment” indicates that the exemplary embodiment described include a particular feature, structure, or characteristic, but every exemplary embodiment can not necessarily include the particular feature, structure, or characteristic. Moreover, such phrases are not necessarily referring to the same exemplary embodiment. Further, any feature, structure, or characteristic described in connection with an exemplary embodiment can be included, independently or in any combination, with features, structures, or characteristics of other exemplary embodiments whether or not explicitly described.
The exemplary embodiments described within the disclosure have been provided for illustrative purposes, and are not intend to be limiting. Other exemplary embodiments are possible, and modifications can be made to the exemplary embodiments while remaining within the spirit and scope of the disclosure. The disclosure has been described with the aid of functional non-building blocks illustrating the implementation of specified functions and relationships thereof. The boundaries of these functional non-building blocks have been arbitrarily defined herein for the convenience of the description. Alternate boundaries can be defined so long as the specified functions and relationships thereof are appropriately performed.
The Detailed Description of the exemplary embodiments fully revealed the general nature of the disclosure that others can, by applying knowledge of those skilled in relevant art(s), readily modify and/or adapt for various applications such exemplary embodiments, without undue experimentation, without departing from the spirit and scope of the disclosure. Therefore, such adaptations and modifications are intended to be within the meaning and plurality of equivalents of the exemplary embodiments based on the teaching and guidance presented herein. It is to be understood that the phraseology or terminology herein is for the purpose of description and not of limitation, such that the terminology or phraseology of the present specification is to be interpreted by those skilled in relevant art(s) in light of the teachings herein.
The present application is a continuation of U.S. patent application Ser. No. 17/349,572, filed Jun. 16, 2021, which is a continuation of U.S. patent application Ser. No. 16/827,403, filed Mar. 23, 2020, issued as U.S. Pat. No. 11,044,361, which is a continuation of U.S. patent application Ser. No. 16/282,886, filed Feb. 22, 2019, issued as U.S. Pat. No. 10,601,982, which is a continuation of U.S. patent application Ser. No. 15/611,598, filed Jun. 1, 2017, issued as U.S. Pat. No. 10,225,396, which claims the benefit of U.S. Provisional Patent Appl. No. 62/508,106, filed May 18, 2017, each of which is incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
4054756 | Comella et al. | Oct 1977 | A |
4191860 | Weber | Mar 1980 | A |
4670628 | Boratgis et al. | Jun 1987 | A |
4691347 | Stanley et al. | Sep 1987 | A |
4737982 | Boratgis et al. | Apr 1988 | A |
4813070 | Humphreys et al. | Mar 1989 | A |
4907221 | Pariani et al. | Mar 1990 | A |
4918719 | Daudelin | Apr 1990 | A |
4935956 | Hellwarth et al. | Jun 1990 | A |
4943973 | Werner | Jul 1990 | A |
4995030 | Helf | Feb 1991 | A |
5185781 | Dowden et al. | Feb 1993 | A |
5210789 | Jeffus et al. | May 1993 | A |
5229764 | Matchett et al. | Jul 1993 | A |
5291548 | Tsumura et al. | Mar 1994 | A |
5319702 | Kitchin et al. | Jun 1994 | A |
5319735 | Preuss et al. | Jun 1994 | A |
5345501 | Shelton | Sep 1994 | A |
5345595 | Johnson et al. | Sep 1994 | A |
5379345 | Greenberg | Jan 1995 | A |
5425091 | Josephs | Jun 1995 | A |
5438616 | Peoples | Aug 1995 | A |
5469370 | Ostrover et al. | Nov 1995 | A |
5485507 | Brown et al. | Jan 1996 | A |
5502762 | Andrew et al. | Mar 1996 | A |
5517555 | Amadon et al. | May 1996 | A |
5535194 | Brown et al. | Jul 1996 | A |
5535261 | Brown et al. | Jul 1996 | A |
5539731 | Haneda et al. | Jul 1996 | A |
5539812 | Kitchin et al. | Jul 1996 | A |
5544649 | David et al. | Aug 1996 | A |
5555551 | Rudokas et al. | Sep 1996 | A |
5583925 | Bernstein | Dec 1996 | A |
5590171 | Howe et al. | Dec 1996 | A |
5592548 | Sih | Jan 1997 | A |
5613004 | Cooperman | Mar 1997 | A |
5619561 | Reese | Apr 1997 | A |
5627887 | Freedman | May 1997 | A |
5634086 | Rtischev et al. | May 1997 | A |
5634126 | Norell | May 1997 | A |
5636292 | Rhoads | Jun 1997 | A |
5640490 | Hansen et al. | Jun 1997 | A |
5646940 | Hotto | Jul 1997 | A |
5649060 | Ellozy et al. | Jul 1997 | A |
5655013 | Gainsboro | Aug 1997 | A |
5675704 | Juang et al. | Oct 1997 | A |
5687236 | Moskowitz | Nov 1997 | A |
5710834 | Rhoads | Jan 1998 | A |
5719937 | Warren et al. | Feb 1998 | A |
5745558 | Richardson, Jr. et al. | Apr 1998 | A |
5745569 | Moskowitz | Apr 1998 | A |
5745604 | Rhoads | Apr 1998 | A |
5748726 | Unno | May 1998 | A |
5748763 | Rhoads | May 1998 | A |
5748783 | Rhoads | May 1998 | A |
5757889 | Ohtake | May 1998 | A |
5768355 | Salibrici et al. | Jun 1998 | A |
5768426 | Rhoads | Jun 1998 | A |
5774452 | Greenberg | Jun 1998 | A |
5793415 | Gregory, III et al. | Aug 1998 | A |
5796811 | McFarlen | Aug 1998 | A |
5805685 | McFarlen | Sep 1998 | A |
5809462 | Nussbaum | Sep 1998 | A |
5822432 | Moskowitz | Oct 1998 | A |
5822436 | Rhoads | Oct 1998 | A |
5832068 | Smith | Nov 1998 | A |
5832119 | Rhoads | Nov 1998 | A |
5835486 | Davis et al. | Nov 1998 | A |
5841886 | Rhoads | Nov 1998 | A |
5841978 | Rhoads | Nov 1998 | A |
5850481 | Rhoads | Dec 1998 | A |
5861810 | Nguyen | Jan 1999 | A |
5862260 | Rhoads | Jan 1999 | A |
5867562 | Scherer | Feb 1999 | A |
5883945 | Richardson et al. | Mar 1999 | A |
5889868 | Seraphim et al. | Mar 1999 | A |
5899972 | Miyazawa et al. | May 1999 | A |
5907602 | Peel et al. | May 1999 | A |
5915001 | Uppaluru | Jun 1999 | A |
5920834 | Sih et al. | Jul 1999 | A |
5923746 | Baker et al. | Jul 1999 | A |
5926533 | Gainsboro | Jul 1999 | A |
5930369 | Cox et al. | Jul 1999 | A |
5930377 | Powell et al. | Jul 1999 | A |
5937035 | Andruska et al. | Aug 1999 | A |
5953049 | Horn et al. | Sep 1999 | A |
5960080 | Fahlman et al. | Sep 1999 | A |
5963909 | Warren et al. | Oct 1999 | A |
5982891 | Ginter et al. | Nov 1999 | A |
5991373 | Pattison et al. | Nov 1999 | A |
5999828 | Sih et al. | Dec 1999 | A |
6011849 | Orrin | Jan 2000 | A |
6026193 | Rhoads | Feb 2000 | A |
6035034 | Trump | Mar 2000 | A |
6038315 | Strait et al. | Mar 2000 | A |
6052454 | Kek et al. | Apr 2000 | A |
6052462 | Lu | Apr 2000 | A |
6058163 | Pattison et al. | May 2000 | A |
6064963 | Gainsboro | May 2000 | A |
6072860 | Kek et al. | Jun 2000 | A |
6078567 | Traill et al. | Jun 2000 | A |
6078645 | Cai et al. | Jun 2000 | A |
6078807 | Dunn et al. | Jun 2000 | A |
6111954 | Rhoads | Aug 2000 | A |
6118860 | Hillson et al. | Sep 2000 | A |
6122392 | Rhoads | Sep 2000 | A |
6122403 | Rhoads | Sep 2000 | A |
6138119 | Hall et al. | Oct 2000 | A |
6141406 | Johnson | Oct 2000 | A |
6160903 | Hamid et al. | Dec 2000 | A |
6173284 | Brown | Jan 2001 | B1 |
6175831 | Weinreich et al. | Jan 2001 | B1 |
6185416 | Rudokas et al. | Feb 2001 | B1 |
6185683 | Ginter et al. | Feb 2001 | B1 |
6205249 | Moskowitz | Mar 2001 | B1 |
6211783 | Wang | Apr 2001 | B1 |
6219640 | Basu et al. | Apr 2001 | B1 |
6233347 | Chen et al. | May 2001 | B1 |
6237786 | Ginter et al. | May 2001 | B1 |
6243480 | Zhao et al. | Jun 2001 | B1 |
6243676 | Witteman | Jun 2001 | B1 |
6253193 | Ginter et al. | Jun 2001 | B1 |
6263507 | Ahmad et al. | Jul 2001 | B1 |
6266430 | Rhoads | Jul 2001 | B1 |
6278772 | Bowater et al. | Aug 2001 | B1 |
6278781 | Rhoads | Aug 2001 | B1 |
6289108 | Rhoads | Sep 2001 | B1 |
6301360 | Bocionek et al. | Oct 2001 | B1 |
6308171 | De La Huerga | Oct 2001 | B1 |
6312911 | Bancroft | Nov 2001 | B1 |
6314192 | Chen et al. | Nov 2001 | B1 |
6324573 | Rhoads | Nov 2001 | B1 |
6324650 | Ogilvie | Nov 2001 | B1 |
6330335 | Rhoads | Dec 2001 | B1 |
6343138 | Rhoads | Jan 2002 | B1 |
6343738 | Ogilvie | Feb 2002 | B1 |
6345252 | Beigi et al. | Feb 2002 | B1 |
6381321 | Brown et al. | Apr 2002 | B1 |
6389293 | Clore et al. | May 2002 | B1 |
6421645 | Beigi et al. | Jul 2002 | B1 |
6526380 | Thelen et al. | Feb 2003 | B1 |
6542602 | Elazar | Apr 2003 | B1 |
6611583 | Gainsboro | Aug 2003 | B1 |
6625261 | Holtzberg | Sep 2003 | B2 |
6625587 | Erten et al. | Sep 2003 | B1 |
6633846 | Bennett et al. | Oct 2003 | B1 |
6636591 | Swope et al. | Oct 2003 | B1 |
6639977 | Swope et al. | Oct 2003 | B1 |
6639978 | Draizin et al. | Oct 2003 | B2 |
6647096 | Milliorn et al. | Nov 2003 | B1 |
6665376 | Brown | Dec 2003 | B1 |
6665644 | Kanevsky et al. | Dec 2003 | B1 |
6668044 | Schwartz et al. | Dec 2003 | B1 |
6668045 | Mow | Dec 2003 | B1 |
6671292 | Haartsen | Dec 2003 | B1 |
6688518 | Valencia et al. | Feb 2004 | B1 |
6728345 | Glowny et al. | Apr 2004 | B2 |
6728682 | Fasciano | Apr 2004 | B2 |
6748356 | Beigi et al. | Jun 2004 | B1 |
6760697 | Neumeyer et al. | Jul 2004 | B1 |
6763099 | Blink | Jul 2004 | B1 |
6782370 | Stack | Aug 2004 | B1 |
6788772 | Barak et al. | Sep 2004 | B2 |
6795540 | Mow | Sep 2004 | B1 |
6810480 | Parker et al. | Oct 2004 | B1 |
6850609 | Schrage | Feb 2005 | B1 |
6880171 | Ahmad et al. | Apr 2005 | B1 |
6895086 | Martin | May 2005 | B2 |
6898612 | Parra et al. | May 2005 | B1 |
6907387 | Reardon | Jun 2005 | B1 |
6920209 | Gainsboro | Jul 2005 | B1 |
6947525 | Benco | Sep 2005 | B2 |
6970554 | Peterson et al. | Nov 2005 | B1 |
7032007 | Fellenstein et al. | Apr 2006 | B2 |
7035386 | Susen et al. | Apr 2006 | B1 |
7039171 | Gickler | May 2006 | B2 |
7039585 | Wilmot et al. | May 2006 | B2 |
7046779 | Hesse | May 2006 | B2 |
7050918 | Pupalaikis et al. | May 2006 | B2 |
7062286 | Grivas et al. | Jun 2006 | B2 |
7075919 | Wendt et al. | Jul 2006 | B1 |
7079636 | McNitt et al. | Jul 2006 | B1 |
7079637 | McNitt et al. | Jul 2006 | B1 |
7092494 | Anders et al. | Aug 2006 | B1 |
7103549 | Bennett et al. | Sep 2006 | B2 |
7106843 | Gainsboro et al. | Sep 2006 | B1 |
7123704 | Martin | Oct 2006 | B2 |
7133511 | Buntin et al. | Nov 2006 | B2 |
7133828 | Scarano et al. | Nov 2006 | B2 |
7133845 | Ginter et al. | Nov 2006 | B1 |
7149788 | Gundla et al. | Dec 2006 | B1 |
7191133 | Pettay | Mar 2007 | B1 |
7197560 | Caslin et al. | Mar 2007 | B2 |
7236932 | Grajski | Jun 2007 | B1 |
7248685 | Martin | Jul 2007 | B2 |
7256816 | Profanchik et al. | Aug 2007 | B2 |
7277468 | Tian et al. | Oct 2007 | B2 |
7280816 | Fratti et al. | Oct 2007 | B2 |
7324637 | Brown et al. | Jan 2008 | B2 |
7333798 | Hodge | Feb 2008 | B2 |
7366782 | Chong et al. | Apr 2008 | B2 |
7406039 | Cherian et al. | Jul 2008 | B2 |
7417983 | He et al. | Aug 2008 | B2 |
7424715 | Dutton | Sep 2008 | B1 |
7466816 | Blair | Dec 2008 | B2 |
7494061 | Reinhold | Feb 2009 | B2 |
7496345 | Rae et al. | Feb 2009 | B1 |
7505406 | Spadaro et al. | Mar 2009 | B1 |
7519169 | Hingoranee et al. | Apr 2009 | B1 |
7529357 | Rae et al. | May 2009 | B1 |
7551732 | Anders | Jun 2009 | B2 |
7596498 | Basu et al. | Sep 2009 | B2 |
7639791 | Hodge | Dec 2009 | B2 |
7664243 | Martin | Feb 2010 | B2 |
7672845 | Beranek et al. | Mar 2010 | B2 |
RE41190 | Darling | Apr 2010 | E |
7698182 | Falcone et al. | Apr 2010 | B2 |
7742581 | Hodge et al. | Jun 2010 | B2 |
7742582 | Harper | Jun 2010 | B2 |
7783021 | Hodge | Aug 2010 | B2 |
7804941 | Keiser et al. | Sep 2010 | B2 |
7826604 | Martin | Dec 2010 | B2 |
7848510 | Shaffer et al. | Dec 2010 | B2 |
7853243 | Hodge | Dec 2010 | B2 |
7860222 | Sidler et al. | Dec 2010 | B1 |
7881446 | Apple et al. | Feb 2011 | B1 |
7899167 | Rae | Mar 2011 | B1 |
7961860 | McFarlen | Jun 2011 | B1 |
8031052 | Polozola | Oct 2011 | B2 |
8099080 | Rae et al. | Jan 2012 | B1 |
8135115 | Hogg, Jr. et al. | Mar 2012 | B1 |
8204177 | Harper | Jun 2012 | B2 |
8295446 | Apple et al. | Oct 2012 | B1 |
8458732 | Hanna et al. | Jun 2013 | B2 |
8467381 | Keiser et al. | Jun 2013 | B1 |
8488756 | Hodge et al. | Jul 2013 | B2 |
8498937 | Shipman, Jr. et al. | Jul 2013 | B1 |
8509390 | Harper | Aug 2013 | B2 |
8577003 | Rae | Nov 2013 | B2 |
8630726 | Hodge et al. | Jan 2014 | B2 |
8731934 | Olligschlaeger et al. | May 2014 | B2 |
8886663 | Gainsboro et al. | Nov 2014 | B2 |
8894417 | Mandel | Nov 2014 | B2 |
8917848 | Torgersrud et al. | Dec 2014 | B2 |
8929525 | Edwards | Jan 2015 | B1 |
9020115 | Hangsleben | Apr 2015 | B2 |
9043813 | Hanna et al. | May 2015 | B2 |
9077680 | Harper | Jul 2015 | B2 |
9094500 | Edwards | Jul 2015 | B1 |
9143609 | Hodge | Sep 2015 | B2 |
9232051 | Torgersrud et al. | Jan 2016 | B2 |
9307386 | Hodge et al. | Apr 2016 | B2 |
9396320 | Lindemann | Jul 2016 | B2 |
9552417 | Olligschlaeger et al. | Jan 2017 | B2 |
9609121 | Hodge | Mar 2017 | B1 |
9615060 | Hodge | Apr 2017 | B1 |
9621504 | Torgersrud et al. | Apr 2017 | B2 |
9621714 | Seyfetdinov | Apr 2017 | B2 |
9674340 | Hodge | Jun 2017 | B1 |
9800830 | Humpries | Oct 2017 | B2 |
9923936 | Hodge | Mar 2018 | B2 |
10225396 | Hodge | Mar 2019 | B2 |
10394900 | Edwards | Aug 2019 | B1 |
10440175 | Dover | Oct 2019 | B1 |
10601982 | Hodge | Mar 2020 | B2 |
10628571 | Kursun et al. | Apr 2020 | B2 |
10686935 | Parampottil et al. | Jun 2020 | B1 |
11044361 | Hodge | Jun 2021 | B2 |
11563845 | Hodge | Jan 2023 | B2 |
20010036821 | Gainsboro et al. | Nov 2001 | A1 |
20010043697 | Cox et al. | Nov 2001 | A1 |
20010056349 | St. John | Dec 2001 | A1 |
20010056461 | Kampe et al. | Dec 2001 | A1 |
20020002464 | Pertrushin | Jan 2002 | A1 |
20020010587 | Pertrushin | Jan 2002 | A1 |
20020032566 | Tzirkel-Hancock et al. | Mar 2002 | A1 |
20020046057 | Ross | Apr 2002 | A1 |
20020067272 | Lemelson et al. | Jun 2002 | A1 |
20020069084 | Donovan | Jun 2002 | A1 |
20020076014 | Holtzberg | Jun 2002 | A1 |
20020107871 | Wyzga et al. | Aug 2002 | A1 |
20020147707 | Kraay et al. | Oct 2002 | A1 |
20020174183 | Saeidi | Nov 2002 | A1 |
20030002639 | Huie | Jan 2003 | A1 |
20030023444 | St. John | Jan 2003 | A1 |
20030023874 | Prokupets et al. | Jan 2003 | A1 |
20030035514 | Jang | Feb 2003 | A1 |
20030040326 | Levy et al. | Feb 2003 | A1 |
20030070076 | Michael | Apr 2003 | A1 |
20030086546 | Falcone et al. | May 2003 | A1 |
20030093533 | Ezerzer et al. | May 2003 | A1 |
20030099337 | Lord | May 2003 | A1 |
20030117280 | Prehn | Jun 2003 | A1 |
20030126470 | Crites et al. | Jul 2003 | A1 |
20030174826 | Hesse | Sep 2003 | A1 |
20030190045 | Huberman et al. | Oct 2003 | A1 |
20040008828 | Coles et al. | Jan 2004 | A1 |
20040029564 | Hodge | Feb 2004 | A1 |
20040081296 | Brown et al. | Apr 2004 | A1 |
20040161086 | Buntin et al. | Aug 2004 | A1 |
20040169683 | Chiu et al. | Sep 2004 | A1 |
20040249650 | Freedman et al. | Dec 2004 | A1 |
20040252184 | Hesse et al. | Dec 2004 | A1 |
20040252447 | Hesse et al. | Dec 2004 | A1 |
20050010411 | Rigazio et al. | Jan 2005 | A1 |
20050027723 | Jones et al. | Feb 2005 | A1 |
20050078006 | Hutchins et al. | Apr 2005 | A1 |
20050080625 | Bennett et al. | Apr 2005 | A1 |
20050094794 | Creamer et al. | May 2005 | A1 |
20050102371 | Aksu | May 2005 | A1 |
20050114192 | Tor et al. | May 2005 | A1 |
20050125226 | Magee | Jun 2005 | A1 |
20050128283 | Bulriss et al. | Jun 2005 | A1 |
20050141678 | Anders et al. | Jun 2005 | A1 |
20050144004 | Bennett et al. | Jun 2005 | A1 |
20050170818 | Netanel et al. | Aug 2005 | A1 |
20050182628 | Choi | Aug 2005 | A1 |
20050207357 | Koga | Sep 2005 | A1 |
20060064037 | Shalon et al. | Mar 2006 | A1 |
20060087554 | Boyd et al. | Apr 2006 | A1 |
20060087555 | Boyd et al. | Apr 2006 | A1 |
20060089837 | Adar et al. | Apr 2006 | A1 |
20060093099 | Cho | May 2006 | A1 |
20060198504 | Shemisa et al. | Sep 2006 | A1 |
20060200353 | Bennett | Sep 2006 | A1 |
20060285650 | Hodge | Dec 2006 | A1 |
20060285665 | Wasserblat et al. | Dec 2006 | A1 |
20070003026 | Hodge et al. | Jan 2007 | A1 |
20070011008 | Scarano et al. | Jan 2007 | A1 |
20070041545 | Gainsboro | Feb 2007 | A1 |
20070047734 | Frost | Mar 2007 | A1 |
20070071206 | Gainsboro et al. | Mar 2007 | A1 |
20070133437 | Wengrovitz et al. | Jun 2007 | A1 |
20070185717 | Bennett | Aug 2007 | A1 |
20070192174 | Bischoff | Aug 2007 | A1 |
20070195703 | Boyajian et al. | Aug 2007 | A1 |
20070237099 | He et al. | Oct 2007 | A1 |
20070244690 | Peters | Oct 2007 | A1 |
20080000966 | Keiser | Jan 2008 | A1 |
20080021708 | Bennett et al. | Jan 2008 | A1 |
20080046241 | Osburn et al. | Feb 2008 | A1 |
20080096178 | Rogers et al. | Apr 2008 | A1 |
20080106370 | Perez et al. | May 2008 | A1 |
20080118045 | Polozola et al. | May 2008 | A1 |
20080195387 | Zigel et al. | Aug 2008 | A1 |
20080198978 | Olligschlaeger | Aug 2008 | A1 |
20080201143 | Olligschlaeger et al. | Aug 2008 | A1 |
20080201158 | Johnson et al. | Aug 2008 | A1 |
20080260133 | Hodge et al. | Oct 2008 | A1 |
20080300878 | Bennett | Dec 2008 | A1 |
20090178144 | Redlich et al. | Jul 2009 | A1 |
20100177881 | Hodge | Jul 2010 | A1 |
20100202595 | Hodge et al. | Aug 2010 | A1 |
20100299761 | Shapiro | Nov 2010 | A1 |
20110055256 | Phillips et al. | Mar 2011 | A1 |
20110206038 | Hodge | Aug 2011 | A1 |
20110244440 | Saxon et al. | Oct 2011 | A1 |
20110279228 | Kumar et al. | Nov 2011 | A1 |
20120173528 | Kreindler | Jul 2012 | A1 |
20120262271 | Torgersrud et al. | Oct 2012 | A1 |
20130104246 | Bear et al. | Apr 2013 | A1 |
20130124192 | Lindmark et al. | May 2013 | A1 |
20130179949 | Shapiro | Jul 2013 | A1 |
20130279686 | Keiser et al. | Oct 2013 | A1 |
20140247926 | Gainsboro et al. | Sep 2014 | A1 |
20140273929 | Torgersrud | Sep 2014 | A1 |
20140287715 | Hodge et al. | Sep 2014 | A1 |
20140313275 | Gupta et al. | Oct 2014 | A1 |
20140334610 | Hangsleben | Nov 2014 | A1 |
20150051893 | Ratcliffe, III et al. | Feb 2015 | A1 |
20150206417 | Bush | Jul 2015 | A1 |
20150215254 | Bennett | Jul 2015 | A1 |
20150221151 | Bacco et al. | Aug 2015 | A1 |
20150281431 | Gainsboro et al. | Oct 2015 | A1 |
20150281433 | Gainsboro et al. | Oct 2015 | A1 |
20160027278 | McIntosh et al. | Jan 2016 | A1 |
20160191484 | Gongaware | Jun 2016 | A1 |
20160217807 | Gainsboro et al. | Jul 2016 | A1 |
20160224538 | Chandrasekar et al. | Aug 2016 | A1 |
20160239932 | Sidler | Aug 2016 | A1 |
20160301728 | Keiser et al. | Oct 2016 | A1 |
20160371756 | Yokel et al. | Dec 2016 | A1 |
20160373909 | Rasmussen et al. | Dec 2016 | A1 |
20170270115 | Cormack et al. | Sep 2017 | A1 |
20170270627 | Hodge | Sep 2017 | A1 |
20170295212 | Hodge | Oct 2017 | A1 |
20170323410 | Donovan | Nov 2017 | A1 |
20180278464 | Donovan et al. | Sep 2018 | A1 |
20180338036 | Hodge | Nov 2018 | A1 |
20190163891 | Kursun et al. | May 2019 | A1 |
Number | Date | Country |
---|---|---|
1280137 | Dec 2004 | EP |
2579676 | Apr 2013 | EP |
2075313 | Nov 1981 | GB |
59225626 | Dec 1984 | JP |
60010821 | Jan 1985 | JP |
61135239 | Jun 1986 | JP |
3065826 | Mar 1991 | JP |
WO 9614703 | Nov 1995 | WO |
WO 9813993 | Apr 1998 | WO |
WO 2001074042 | Oct 2001 | WO |
WO 2016028864 | Feb 2016 | WO |
Entry |
---|
“Cisco IAD2400 Series Business-Class Integrated Access Device”, Cisco Systems Datasheet, 2003; 8 pages. |
“Cisco IAD2420 Series Integrated Access Devices Software Configuration Guide—Initial Configuration,” Cisco Systems, accessed Sep. 23, 2014, accessible at http://www.cisco.com/en/US/docs/routers/access/2400/2420/software/configuration/guide/init_cf.html; 5 pages. |
“Hong Kong: Prison Conditions in 1997,” Human Rights Watch, Mar. 1, 1997, C905, available at http://www.refworld.org/docid/3ae6a7d014.html, accessed May 29, 2014; 48 pages. |
“PacketCableTM 1.0 Architecture Framework Technical Report”, PKT-TR-ARCH-VO 1-001201 (Cable Television Laboratories, Inc. 1999). |
“PacketCable™ Audio/Video Codecs Specification,” Cable Television Laboratories, Inc., Ser. No. PKT-SP-CODEC-105-040113 (2004). |
“Service-Observing Arrangements Using Key Equipment for Telephone Company Business Offices, Description and Use,” Pac. Tel. & Tel. Co., Bell System Practices, Station Operations Manual, Section C71.090, Issue A, 1-1-57-N, 1957; 8 pages. |
“SIP and IPLinkTM in the Next Generation Network: An Overview,” Intel, 2001; 6 pages. |
“The AutoEDMS Document Management and Workflow System: An Overview of Key Features, Functions and Capabilities,” ACS Software, May 2003; 32 pages. |
“Voice Over Packet in Next Generation Networks: An Architectural Framework,” Bellcore, Special Report SR-4717, Issue 1, Jan. 1999; 288 pages. |
“Cool Edit Pro, Version 1.2 User Guide,” Syntrillium Software Corporation, 1998; 226 pages. |
“Criminal Calls: A Review of the Bureau of Prisons' Management of Inmate Telephone Privileges,” U.S. Department of Justice, Office of the Inspector General, Aug. 1999; 166 pages. |
“Global Call API for Linux and Windows Operating Systems,” Intel Dialogic Library Reference, Dec. 2005; 484 pages. |
“The NIST Year 2002 Speaker Recognition Evaluation Plan,” NIST, Feb. 27, 2002, accessible at http://www.itl.nist.gov/iad/mig/tests/spk/2002/2002-spkrecevalplan-v60.pdf; 9 pages. |
Aggarwal, et al., “An Environment for Studying Switching System Software Architecture,” IEEE, Global Telecommunications Conference, 1988; 7 pages. |
Auckenthaler, et al., “Speaker—Centric Score Normalization and Time Pattern Analysis for Continuous Speaker Verification,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 2, Jun. 2000, pp. 1065-1068. |
Audacity Team, “About Audacity,” World Wide Web, 2014, accessible at http://wiki.audacity.team.org/wiki/About_Audacity; 3 pages. |
Beek et al., “An Assessment of the Technology of Automatic Speech Recognition for Military Applications,” IEEE Trans. Acoustics, Speech, and Signal Processing, vol. ASSP-25, No. 4, 1977; pp. 310-322. |
Beigi, et al., “A Hierarchical Approach to Large-Scale Speaker Recognition,” Euro Speech 1999, Sep. 1999, vol. 5; pp. 2203-2206. |
Beigi, et al., “IBM Model-Based and Frame-By-Frame Speaker-Recognition,” Speaker Recognition and its Commercial and Forensic Applications, Apr. 1998; pp. 1-4. |
Beigi, H., “Challenges of Large-Scale Speaker Recognition,” 3rd European Cooperation in the Field of Scientific and Technical Research Conference, Nov. 4, 2005; 33 pages. |
Beigi, H., “Decision Theory,” Fundamentals of Speaker Recognition, Ch. 9, Springer, US 2011; pp. 313-339. |
Bender, et al., “Techniques For Data Hiding,” IBM Systems Journal, vol. 35, Nos. 3&4, 1996; 24 pages. |
Boersma, et al., “Praat: Doing Phonetics by computer,” World Wide Web, 2015, accessible at http://www.fon.hum.uva.nl/praat; 2 pages. |
Bolton, et al., “Statistical Fraud Detection: A Review,” Statistical Science, vol. 17, No. 3 (2002), pp. 235-255. |
Boney, L., et al., “Digital Watermarks for Audio Signals” Proceedings of EUSIPC0-96, Eighth European Signal processing Conference, Trieste, Italy, 10-13 (1996). |
Boney, L., et al., “Digital Watermarks for Audio Signals” Proceedings of the International Conference on Multimedia Computing Systems, p. 473-480, IEEE Computer Society Press, United States (1996). |
Bur Goode, Voice Over Internet Protocol (VOIP), Proceedings of the IEEE, vol. 90, No. 9, Sep. 2002; pp. 1495-1517. |
Carey, et al., “User Validation for Mobile Telephones,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 2, Jun. 2000, pp. 1093-1096. |
Chau, et al., “Building an Infrastructure for Law Enforcement Information Sharing and Collaboration: Design Issues and Challenges,” National Conference on Digital Government, 2001; 6 pages. |
Chaudhari, et al., “Transformation enhanced multi-grained modeling for text—independent speaker recognition,” International Conference on Spoken Language Processing, 2000, pp. 298-301. |
Christel, et al., “Interactive Maps for a Digital Video Library,” IEEE Special Edition on Multimedia Computing, January-Mar. 2000, IEEE, United States; pp. 60-67. |
Clavel, et al., “Events Detection for an Audio-Based Surveillance System,” IEEE International Conference on Multimedia and Expo (ICME2005), Jul. 6-8, 2005, pp. 1306-1309. |
Coden, et al., “Speech Transcript Analysis for Automatic Search,” Proceedings of the 34th Hawaii International Conference on System Sciences, IEEE, 2001; 9 pages. |
Coherent Announces Industry's First Remote Management System for Echo Canceller, Business Wire, Mar. 3, 1997; 3 pages. |
Corbato, et al., “Introduction and Overview of the MULTICS System,” Proceedings—Fall Joint Computer Conference, 1965; 12 pages. |
Cox, et al.; “Secure Spread Spectrum Watermarking for Multimedia,” NEC Research Institute, Technical Report 95-10, Dec. 1997; 34 pages. |
Digital “Bellcore Notes on the Networks,” Bellcore, Special Report SR-2275, Issue 3, Dec. 1997. |
Doddington, G., “Speaker Recognition based on Idiolectal Differences between Speakers,” 7th European Conference on Speech Communication and Technology, Sep. 3-7, 2001; 4 pages. |
Dunn, et al., “Approaches to speaker detection and tracking in conversational speech,” Digital Signal Processing, vol. 10, 2000; pp. 92-112. |
Dye, Charles, “Oracle Distributed Systems,” O'Reilly Media, Inc., Apr. 1, 1999; 29 pages. |
Fischer, Alan D., “Coplink nabs criminals faster,” Arizona Daily Star, Jan. 7, 2001; 5 pages. |
Fleischman, E., “Advanced Streaming Format (ASF) Specification,” Microsoft Corporation, Jan. 9, 1998; 78 pages. |
Fox, B., “The First Amendment Rights of Prisoners,” 63 J. Crim. L. Criminology & Police Sci. 162, 1972; 24 pages. |
Frankel, E., Audioconferencing Options (Teleconferencing Units, Conference Bridges and Service Bureaus), Teleconnect, vol. 4, No. 5, p. 131(3), May 1996; 6 pages. |
Furui, et al., “Experimental studies in a new automatic speaker verification system using telephone speech,” Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80, vol. 5, Apr. 1980, pp. 1060-1062. |
Furui, S., “50 Years of Progress in Speech and Speaker Recognition Research,” ECTI Transactions on Computer and Information Technology, vol. 1, No. 2, Nov. 2005, pp. 64-74. |
Hansen, et al., “Speaker recognition using phoneme-specific gmms,” The Speaker and Language Recognition Workshop, May-Jun. 2004; 6 pages. |
Hauck, et al., “Coplink: A Case of Intelligent Analysis and Knowledge Management,” University of Arizona, 1999; 20 pages. |
Hewett, et al., Signaling System No. 7 (SS7/C7): Protocol, Architecture, and Services (Networking Technology), Cisco Press, Jun. 2005; 8 pages. |
I2 Investigative Analysis Software; “Chart Reader”, URL: http://www.i2.co.uk/Products/Chart Reader. Jun. 13, 2005. |
I2 Investigative Analysis Software; “i2 TextChart—Text Visualized”, URL: http://www.i2.co.uk/Products/i2TextChart/. Jun. 13, 2005. |
I2 Investigative Analysis Software; “iBase-Information Captured”, URL: http://www.i2.co.uk/Products/iBase/. Jun. 13, 2005. |
12 Investigative Analysis Software; “iBridge”, URL: http://www.i2.co.uk/Products/iBridge/. Jun. 13, 2005. |
I2 Investigative Analysis Software; “Pattern Tracer”, URL: http://www.i2.co.uk/Products/Pattern Tracer/. Jun. 13, 2005. |
I2 Investigative Analysis Software; “Prisons”, URL: http://www.i2.co.uk/Solutions/Prisons/default.aso. Jun. 13, 2005. |
I2 Investigative Analysis Software; “Setting International Standards for Investigative Analysis”, URL: http://www.i2.co.uk/Products/index.htm. Jun. 13, 2005. |
IMAGIS Technologies, Inc. “Computer Arrest and Booking System”, [retrieved from http://www.imagistechnologies.com/Product/CABS.htm] (Nov. 5, 2002) 5 pages. |
IMAGIS Technologies, Inc. “Integrated Justice System- Web-based Image and Data Sharing” [retrieved from http://www.imagistechnologies.com/Product/IJISFramework.htm>] (Nov. 5, 2002) 4 pages. |
Inmate Telephone Services: Large Business: Voice, Oct. 2, 2001; 3 pages. |
Intel® NetStructure High-Density Station Interface (HDSI) Boards Archived Webpage, Intel Corporation, 2003; 2 pages. |
International Search Report and Written Opinion directed to International Application No. PCT/US2017/022169, mailed on May 29, 2017; 57 pages. |
International Search Report for International Application No. PCT/US04/025029, European Patent Office, Netherlands, mailed on Mar. 14, 2006. |
Isobe, et al., “A new cohort normalization using local acoustic information for speaker verification,” Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2, Mar. 1999; pp. 841-844. |
Juang, et al., “Automatic Speech Recognition—A Brief History of the Technology Development,” Oct. 8, 2014; 24 pages. |
Kinnunen, et al., “Real-Time Speaker Identification and Verification,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 14, No. 1, Jan. 2006, pp. 277-288. |
Knox, “The Problem of Gangs and Security Threat Groups (STG's) in American Prisons Today: Recent Research Findings From the 2004 Prison Gang Survey,” National Gang Crime Research Center, 2005; 67 pages. |
Kozamernik, F., “Media Streaming over the Internet—an overview of delivery technologies,” EBU Technical Review, Oct. 2002; 15 pages. |
Lane, et al., Language Model Switching Based on Topic Detection for Dialog Speech Recognition, Proceedings of the IEEE-ICASSP, vol. 1, 2003, IEEE; pp. 616-619. |
Maes, et al., “Conversational speech biometrics,” E-Commerce Agents, Marketplace Solutions, Security Issues, and Supply and Demand, Springer-Verlang, London, UK, 2001, pp. 166-179. |
Maes, et al., “Open SESAME! Speech, Password or Key to Secure Your Door?,” Asian Conference on Computer Vision, Jan. 1998; pp. 1-3. |
Matsui, et al., “Concatenated Phoneme Models for Text-Variable Speaker Recognition,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 2, Apr. 1993; pp. 391-394. |
McCollum, “Federal Prisoner Health Care Copayment Act of 2000,” House of Representatives Report 106-851, 106th Congress 2d Session, Sep. 14, 2000; 22 pages. |
Microsoft White Paper: “Integrated Justice Information Systems”, retrieved from Microsoft Justice & Public Safety Solutions (Nov. 5, 2002) [http://jps.directtaps.net_vtibin/owssvr.dll?Using=Default%2ehtm]; 22 pages. |
Moattar, et al., “Speech Overlap Detection using Spectral Features and its Application in Speech Indexing,” 2nd International Conference on Information & Communication Technologies, 2006; pp. 1270-1274. |
National Alliance of Gang Investigators Associations, 2005 National Gang Threat Assessment, 2005, Bureau of Justice Assistance, Office of Justice Programs, U.S. Department of Justice; 73 pages. |
National Major Gang Taskforce, “A Study of Gangs and Security Threat Groups in America's Adult Prisons and Jails,” 2002; 38 pages. |
Navratil, et al., “A Speech Biometrics System With MultiGrained Speaker Modeling,” 2000; 5 pages. |
Navratil, et al., “Phonetic speaker recognition using maximum-likelihood binary—decision tree models,” Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr. 6-10, 2003; 4 pages. |
O'Harrow, R. “U.S. Backs Florida's New Counterterrorism Database; ‘Matrix’ Offers Law Agencies Faster Access to Americans' Personal Records”; The Washington Post. Washington, D.C., Aug. 6, 2003; p. A 01. |
O'harrow, R.. “Database will make tracking suspected terrorists easier”, The Dallas Morning News. Dallas, TX, Aug. 6, 2003; p. 7A. |
Olligschlaeger, A. M., “Criminal Intelligence Databases and Applications, ” in Marilyn B. Peterson, Bob Morehouse, and Richard Wright, Intelligence 2000: Revising the Basic Elements—A Guide for Intelligence Professionals, Mar. 30, 2000 a joint publication of IALEIA and LEIU; 53 pages. |
Osifchin, N., “A Telecommunications Buildings/Power Infrastructure in a New Era of Public Networking,” IEEE 2000; 7 pages. |
Pages from http://www.corp.att.com/history, archived by web.archive.org on Nov. 4, 2013. |
Pelecanos, J. “Conversational biometrics,” in Biometric Consortium Meeting, Baltimore, MD, Sep. 2006, accessible at http://www.biometrics.org/bc2006/presentations/Thu_Sep_21/Session_I/Pelecanos_Conversational_Biometrics.pdf; 14 pages. |
Pollack, et al., “On the Identification of Speakers by Voice,” The Journal of the Acoustical Society of America, vol. 26, No. 3, May 1954; 4 pages. |
Prosecution History of International Patent Application No. PCT/US99/09493 by Brown et al., filed Apr. 29, 1999. |
Prosecution History of U.S. Appl. No. 11/182,625, filed Jul. 15, 2005. |
Rey, R.F., ed., “Engineering and Operations in the Bell System, ” 2nd Edition, AT&T Bell Laboratories: Murray Hill, NJ, 1983; 884 pages. |
Reynolds, D., “Automatic Speaker Recognition Using Gaussian Mixture Speaker Models, ” The Lincoln Laboratory Journal, vol. 8, No. 2, 1995; pp. 173-192. |
Rosenberg, et al., “SIP: Session Initial Protocol,” Network Working Group, Standard Track, Jun. 2002; 269 pages. |
Rosenberg, et al., “The Use of Cohort Normalized Scores for Speaker Verification,” Speech Research Department, AT&T Bell Laboratories, 2nd International Conference on Spoken Language Processing, Oct. 12-16, 1992; 4 pages. |
Ross, et al., “Multimodal Biometrics: An Overview,” Proc. of 12th European Signal Processing Conference (EUSIPCO), Sep. 2004; pp. 1221-1224. |
Science Dynamics, BubbleLINK Software Architecture, 2003; 10 pages. |
Science Dynamics, Commander Call Control System, Rev. 1.04, 2002; 16 pages. |
Science Dynamics, Inmate Telephone Control Systems, http://scidyn.com/fraudprev_main.htm (archived by web.archive.org on Jan. 12, 2001). |
Science Dynamics, SciDyn BubbleLINK, http://www.scidyn.com/products/bubble.html (archived by web.archive.org on Jun. 18, 2006). |
Science Dynamics, SciDyn Call Control Solutions: Commander II, http://www.scidyn.com/products/commander2.html (archived by web.archive.org on Jun. 18, 2006). |
Science Dynamics, SciDyn IP Gateways, http://scidyn.com/products/ipgateways.html (archived by web.archive.org on Aug. 15, 2001). |
Science Dynamics, Science Dynamics—IP Telephony, http://www.scidyn.com/iptelephony_main.htm (archived by web.archive.org on Oct. 12, 2000). |
Shearme, et al., “An Experiment Concerning the Recognition of Voices,” Language and Speech, vol. 2, No. 3, Jul./Sep. 1959; 10 pages. |
Silberg, L., Digital on Call, HFN The Weekly Newspaper for the Home Furnishing Network, Mar. 17, 1997; 4 pages. |
Silberschatz, et al., Operating System Concepts, Third Edition, Addison-Wesley: Reading, MA, Sep. 1991; 700 pages. |
Simmons, R., “Why 2007 is Not Like 1984: A Broader Perspective on Technology's Effect on Privacy and Fourth Amendment Jurisprudence,” J. Crim. L. & Criminology vol. 97, No. 2, Winter 2007; 39 pages. |
Smith, M., “Corrections Turns Over a New LEAF: Correctional Agencies Receive Assistance From the Law Enforcement Analysis Facility,” Corrections Today, Oct. 1, 2001; 4 pages. |
Specification of U.S. Appl. No. 10/720,848, “Information Management and Movement System and Method,” to Viola, et al., filed Nov. 24, 2003. (Abandoned). |
State of North Carolina Department of Correction RFP #ITS-000938A, issued May 25, 2004; 8 pages. |
Statement for the Record of John S. Pistole, Assistant Director, Counterterrorism Division, Federal Bureau of Investigation, Before the Senate Judiciary Committee, Subcommittee on Terrorism, Technology, and Homeland Security, Oct. 14, 2003. |
Sundstrom, K., “Voice over IP: An Engineering Analysis,” Master's Thesis, Department of Electrical and Computer Engineering, University of Manitoba, Sep. 1999; 140 pages. |
Supplementary European Search Report for EP Application No. EP 04 80 9530, Munich, Germany, completed on Mar. 25, 2009. |
Tanenbaum, A., Modern Operating Systems, Third Edition, Peason Prentice Hall: London, 2009; 552 pages. |
Tirkel, A., et al.; “Image Watermarking—A Spread Spectrum Application,” Sep. 22-25, 1996; 7 pages. |
U.S. Appl. No. 60/607,447, “IP-based telephony system and method,” to Apple, et al., filed Sep. 3, 2004. |
Viswanathan, et al., “Multimedia Document Retrieval using Speech and Speaker Recognition,” International Journal on Document Analysis and Recognition, Jun. 2000, vol. 2; pp. 1-24. |
Walden, R., “Performance Trends for Analog-to-Digital Converters,” IEEE Communications Magazine, Feb. 1999. |
Weinstein, C., MIT, The Experimental Integrated Switched Network—A System-Level Network Test Facility, IEEE 1983; 8 pages. |
Wilkinson, Reginald A., “Visiting in Prison,” Prison and Jail Administration's Practices and Theory, 1999; 7 pages. |
Winterdyk et al., “Managing Prison Gangs,” Journal of Criminal Justice, vol. 38, 2010; pp. 730-736. |
Zajic, et al., “A Cohort Methods for Score Normalization in Speaker Verification System, Acceleration of On-Line Cohort Methods,” Proceedings of the 12th International Conference “Speech and Computer,” Oct. 15-18, 2007; 6 pages. |
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