A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.
One or more implementations relate generally to computer systems and software, and, more particularly, to systems and methods for performing advanced searches of relational data via a mobile communications device.
The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed inventions.
In conventional mobile communications devices, searching information stored remove from the mobile communications devices may be a challenging task. A user of such a device is typically required to retrieve data from, and sometime stores data on, the system using a mobile communications device. A user system may remotely access one of a plurality of server systems via the mobile communications device, and the server systems may in turn access the database system. Data retrieval from the system might include the issuance of a query from the mobile communications device to the database system via the server system. Often times, searches require a user to provide multiple clicks on a mobile communications devices in order to produce a proper query to get a desired result. Such requirements may not only be time consuming, but may also lead to increased errors in manual entry. Sometimes, searches of relational data are not possible via mobile communications devices at all, since the mobile communications devices may not have the information necessary to properly construct a search query for searching a remote database. As such, a salesperson may not be able to access information most important to the salesperson on a mobile communications device in an efficient and effective manner.
The growing popularity of cloud computing has led to the development of software platforms for businesses and other enterprises that provide more advanced cloud-based products and services, in addition to simple data storage and management requirements. Salesforce.com inc., of San Francisco, California, offers a variety of products and services that are cloud-based solutions upon which relevant applications can be launched and/or built for any business or enterprise, and can be integrated with the data storage and management services of a multi-tenant database system.
For example, the Salesforce1™ platform is used for the development and deployment of mobile enterprise applications. The Salesforce1™ platform is built on a core integrated development environment (“IDE”) called Force.com™, which is a set of tools and services for creating and launching employee-facing applications that are both mobile and social. The Force.com platform includes a number of standard applications, which may be extended by customization, or custom applications may be created. The Force.com platform also includes access to a store for applications called the AppExchange, which is similar to the iTunes™ App Store, but for business applications.
A feature of the Salesforce1™ is the ability for users to have real-time access to a variety of relational data (e.g., enterprise resource planning data, customer relationship management data, etc.), organized into logical objects. However, while users have access to a vast amount of relational data, it would be desirable to have a real-time tool for users to perform advanced searches on the data. Accordingly, it is desirable to provide a tool that allows users to define their own custom views using filters from their mobile communications devices.
Any of the embodiments described herein may be used alone or together with one another in any combination. The one or more implementations encompassed within this specification may also include embodiments that are only partially mentioned or alluded to or are not mentioned or alluded to at all in this background or in the abstract. Although various embodiments may have been motivated by various deficiencies with the prior art, which may be discussed or alluded to in one or more places in the specification, the embodiments do not necessarily address any of these deficiencies. In other words, different embodiments may address different deficiencies that may be discussed in the specification. Some embodiments may only partially address some deficiencies or just one deficiency that may be discussed in the specification, and some embodiments may not address any of these deficiencies.
In the following drawings like reference numbers are used to refer to like elements. Although the following figures depict various examples, the one or more implementations are not limited to the examples depicted in the figures.
Systems and methods are provided for performing advanced searches of relational data via a mobile communications device. Examples of systems, apparatus, and methods according to the disclosed implementations are described in this section. These examples are being provided solely to add context and aid in the understanding of the disclosed implementations. It will thus be apparent to one skilled in the art that implementations may be practiced without some or all of these specific details. In other instances, certain process/method operations, also referred to herein as “blocks” or “steps,” have not been described in detail in order to avoid unnecessarily obscuring implementations. Other applications are possible, such that the following examples should not be taken as definitive or limiting either in scope or setting.
In the following detailed description, references are made to the accompanying drawings, which form a part of the description and in which are shown, by way of illustration, specific implementations. Although these implementations are described in sufficient detail to enable one skilled in the art to practice the disclosed implementations, it is understood that these examples are not limiting, such that other implementations may be used and changes may be made without departing from their spirit and scope. For example, the blocks of methods shown and described herein are not necessarily performed in the order indicated. It should also be understood that the methods may include more or fewer blocks than are indicated. In some implementations, blocks described herein as separate blocks may be combined. Conversely, what may be described herein as a single block may be implemented in multiple blocks.
Various implementations described or referenced herein are directed to different methods, apparatus, systems, and computer program products for performing advanced searches of relational data via a mobile communications device. Searches may be provided on data on the Internet or intranet of a company, and may include a variety of categories of numerical and textual data. In some implementations, the disclosed methods, apparatus, systems, and computer program products may be configured or designed for use in a multi-tenant database environment.
These and other implementations described and reference herein may be embodied in various types of hardware, software, firmware, of combinations of these. For example, some techniques disclosed herein may be implemented, at least in part, by machine-readable media that include program instructions, state information, etc., for performing various services and operations described herein. Examples of program instructions include both machine code, such as produced by a compiler, and files containing higher-level code that may be executed by a computing device such as a server or other data processing apparatus using an interpreter. Examples of machine-readable media include, but are not limited to, magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD-ROM disks; magneto-optical media; and hardware devices that are specially configured to store program instructions, such as read-only memory devices (“ROM”) and random access memory (“RAM”) devices. These and other features of the disclosed implementations will be described in more detail below with reference to the associated drawings.
The terms “client device,” “user system”, and “client side user system” are used interchangeably herein and generally refer to handheld computing devices, mobile phones, laptop computers, work stations, and/or any variety of computing devices that includes a network connection. The term client device may refer to a computing device that is operated by an end user at a location remote from a server to which the client device is communicatively coupled.
The term “multi-tenant database system” can refer to those systems in which various elements of hardware and software of a database system may be shared by one or more customers. For example, a given application server may simultaneously process requests for a great number of customers, and a given database table may store rows for a potentially much greater number of customers. The term “query plan” generally refers to one or more operations used to access information in a database system.
A “user profile” or “user's profile” is generally configured to store and maintain data about the user of the database system. The data can include general information, such as title, phone number, a photo, a biographical summary, and a status (e.g., text describing what the user is currently doing). the data can include messages created by other users. Where there are multiple tenants, a user is typically associated with a particular tenant. For example, a user could be a salesperson of a company, which is a tenant of the database system that provides a database service.
The term “record” generally refers to a data entity, such as an instance of a data object created by a user of the database service, for example, about a particular (actual or potential) business relationship or project. The data object can have a data structure defined by the database service (a standard object) or defined by a subscriber (custom object). For example, a record can be for a business partner or potential business partner (e.g., a client, vendor, distributor, etc.) of the user, and can include an entire company, subsidiaries, or contacts at the company. As another example, a record can be a project that the user is working on, such as an opportunity (e.g., a possible sale) with an existing partner, or a project that the user is trying to get. In one implementation of a multi-tenant database, each record for the tenants has a unique identifier stored in a common table. A record has data fields that are defined by the structure of the object (e.g., fields of certain data types and purposes). A record can also have custom fields defined by a user. A field can be another record or include links thereto, thereby providing a parent-child relationship between the records.
Environment 100 is an environment in which an on-demand database service exists. User system 112 may be any machine or system that is used by a user to access a database system 116. For example, any of user systems 112 can be a handheld computing device, a mobile phone, a laptop computer, a work station, and/or a network of such computing devices. As illustrated in
An on-demand database service, such as system 116, is a database system that is made available to outside users, who do not need to necessarily be concerned with building and/or maintaining the database system. Instead, the database system may be available for their use when the users need the database system, i.e., on the demand of the users. Some on-demand database services may store information from one or more tenants into tables of a common database image to form a multi-tenant database system (MTS). A database image may include one or more database objects. A relational database management system (RDBMS) or the equivalent may execute storage and retrieval of information against the database object(s). Application platform 118 may be a framework that allows the applications of system 116 to run, such as the hardware and/or software, e.g., the operating system. In some implementations, application platform 118 enables creation, managing and executing one or more applications developed by the provider of the on-demand database service, users accessing the on-demand database service via user systems 112, or third party application developers accessing the on-demand database service via user systems 112.
The users of user systems 112 may differ in their respective capacities, and the capacity of a particular user system 112 might be entirely determined by permissions (permission levels) for the current user. For example, where a user is using a particular user system 112 to interact with system 116, that user system has the capacities allotted to that user. However, while an administrator is using that user system to interact with system 116, that user system has the capacities allotted to that administrator. In systems with a hierarchical role model, users at one permission level may have access to applications, data, and database information accessible by a lower permission level user, but may not have access to certain applications, database information, and data accessible by a user at a higher permission level. Thus, different users will have different capabilities with regard to accessing and modifying application and database information, depending on a user's security or permission level, also called authorization.
Network 114 is any network or combination of networks of devices that communicate with one another. For example, network 114 can be any one or any combination of a LAN (local area network), WAN (wide area network), telephone network, wireless network, point-to-point network, star network, token ring network, hub network, or other appropriate configuration. Network 114 can include a TCP/IP (Transfer Control Protocol and Internet Protocol) network, such as the global internetwork of networks often referred to as the “Internet” with a capital “I.” The Internet will be used in many of the examples herein. However, it should be understood that the networks that the present implementations might use are not so limited, although TCP/IP is a frequently implemented protocol.
User systems 112 might communicate with system 116 using TCP/IP and, at a higher network level, use other common Internet protocols to communicate, such as HTTP, FTP, AFS, WAP, etc. In an example where HTTP is used, user system 112 might include an HTTP client commonly referred to as a “browser” for sending and receiving HTTP signals to and from an HTTP server at system 116. Such an HTTP server might be implemented as the sole network interface 120 between system 116 and network 114, but other techniques might be used as well or instead. In some implementations, the network interface 120 between system 116 and network 114 includes load sharing functionality, such as round-robin HTTP request distributors to balance loads and distribute incoming HTTP requests evenly over a plurality of servers. At least for users accessing system 116, each of the plurality of servers has access to the MTS' data; however, other alternative configurations may be used instead.
In one implementation, system 116, shown in
One arrangement for elements of system 116 is shown in
Several elements in the system shown in
According to one implementation, each user system 112 and all of its components are operator configurable using applications, such as a browser, including computer code run using a central processing unit such as an Intel Pentium® processor or the like. Similarly, system 116 (and additional instances of an MTS, where more than one is present) and all of its components might be operator configurable using application(s) including computer code to run using processor system 117, which may be implemented to include a central processing unit, which may include an Intel Pentium® processor or the like, and/or multiple processor units.
A computer program product implementation includes a non-transitory machine-readable storage medium (media) having instructions stored thereon/in, which can be used to program a computer to perform any of the processes/methods of the implementations described herein. Computer program code 126 for operating and configuring system 116 to intercommunicate and to process web pages, applications and other data and media content as described herein is preferably downloadable and stored on a hard disk. The entire program code, or portions thereof, may also be stored in any other volatile or non-volatile memory medium or device as is well known, such as a ROM or RAM, or provided on any media capable of storing program code, such as any type of rotating media including floppy disks, optical discs, digital versatile disk (DVD), compact disk (CD), microdrive, and magneto-optical disks, and magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
Additionally, the entire program code, or portions thereof, may be transmitted and downloaded from a software source over a transmission medium, e.g., over the Internet, or from another server, as is well known, or transmitted over any other conventional network connection as is well known (e.g., extranet, VPN, LAN, etc.) using any communication medium and protocols (e.g., TCP/IP, HTTP, HTTPS, Ethernet, etc.) as are well known. It will also be appreciated that computer code for the disclosed implementations can be realized in any programming language that can be executed on a client system and/or server or server system such as, for example, C, C++, HTML, any other markup language, Java™, JavaScript, ActiveX, any other scripting language, such as VBScript, and many other programming languages as are well known may be used. (Java™ is a trademark of Sun Microsystems, Inc.).
According to some implementations, each system 116 is configured to provide web pages, forms, applications, data and media content to user (client) systems 112 to support the access by user systems 112 as tenants of system 116. As such, system 116 provides security mechanisms to keep each tenant's data separate unless the data is shared. If more than one MTS is used, they may be located in close proximity to one another (e.g., in a server farm located in a single building or campus), or they may be distributed at locations remote from one another (e.g., one or more servers located in city A and one or more servers located in city B). As used herein, each MTS could include one or more logically and/or physically connected servers distributed locally or across one or more geographic locations.
Additionally, the term “server” is meant to refer to a computing device or system, including processing hardware and process space(s), an associated storage system such as a memory device or database, and, in some instances, a database application (e.g., OODBMS or RDBMS) as is well known in the art. It should also be understood that “server system” and “server” are often used interchangeably herein. Similarly, the database objects described herein can be implemented as single databases, a distributed database, a collection of distributed databases, a database with redundant online or offline backups or other redundancies, etc., and might include a distributed database or storage network and associated processing intelligence.
User system 112, network 114, system 116, tenant data storage 122, and system data storage 124 were discussed above in
As shown by
Application platform 218 includes an application setup mechanism 268 that supports application developers' creation and management of applications, which may be saved as metadata into tenant data storage 222 by save routines 266 for execution by subscribers as one or more tenant process spaces 234 managed by tenant management process 240 for example. Invocations to such applications may be coded using PL/SOQL 34 that provides a programming language style interface extension to API 262. A detailed description of some PL/SOQL language embodiments is discussed in commonly owned U.S. Pat. No. 7,730,478 entitled, METHOD AND SYSTEM FOR ALLOWING ACCESS TO DEVELOPED APPLICATIONS VIA A MULTI-TENANT ON-DEMAND DATABASE SERVICE, by Craig Weissman, filed Sep. 21, 2007, which is incorporated in its entirety herein for all purposes. Invocations to applications may be detected by one or more system processes, which manage retrieving application metadata 246 for the subscriber making the invocation and executing the metadata as an application in a virtual machine.
Each application server 230 may be communicably coupled to database systems, e.g., having access to system data 226 and tenant data 223, via a different network connection. For example, one application server 2301 might be coupled via the network 214 (e.g., the Internet), another application server 230N-1 might be coupled via a direct network link, and another application server 230N might be coupled by yet a different network connection. Transfer Control Protocol and Internet Protocol (TCP/IP) are typical protocols for communicating between application servers 230 and the database system. However, it will be apparent to one skilled in the art that other transport protocols may be used to optimize the system depending on the network interconnect used.
In certain embodiments, each application server 230 is configured to handle requests for any user associated with any organization that is a tenant. Because it is desirable to be able to add and remove application servers from the server pool at any time for any reason, there is preferably no server affinity for a user and/or organization to a specific application server 230. In one embodiment, therefore, an interface system implementing a load balancing function (e.g., an F5 Big-IP load balancer) is communicably coupled between the application servers 230 and the user systems 212 to distribute requests to the application servers 230. In one embodiment, the load balancer uses a least connections algorithm to route user requests to the application servers 230. Other examples of load balancing algorithms, such as round robin and observed response time, also can be used. For example, in certain embodiments, three consecutive requests from the same user could hit three different application servers 230, and three requests from different users could hit the same application server 230. In this manner, system 216 is multi-tenant, wherein system 216 handles storage of, and access to, different objects, data and applications across disparate users and organizations.
As an example of storage, one tenant might be a data management company that provides an application where users can engage the application via system 216 to manage a profile and perform advanced search on certain data. Thus, a user might maintain contact data, messages, performance information, and digital media (such as pictures, videos, hyperlinks, etc.) corresponding to that user's profile (e.g., in tenant data storage 222). In an example of a MTS arrangement, since all of the data and the applications to access, view, modify, transmit, receive, etc., can be maintained and accessed by a user system having nothing more than network access, the user can manage his or her profiles and communications from any of many different user systems. For example, if a user is accessing the application using a mobile communications device that has Internet access, the user can obtain the same information updates as that user can obtain using any other type of devices, whether public or private, as long as the user logs into his or her own account.
While each user's data might be separate from other users' data regardless of the networks of each user, some data might be organization-wide data shared or accessible by a plurality of users or all of the users for a given organization that is a tenant. Thus, there might be some data structures managed by system 216 that are allocated at the tenant level while other data structures might be managed at the user level. Because an MTS might support multiple tenants including possible competitors, the MTS should have security protocols that keep data, applications, and application use separate. Also, because many tenants may opt for access to an MTS rather than maintain their own system, redundancy, up-time, and backup are additional functions that may be implemented in the MTS. In addition to user-specific data and tenant specific data, system 216 might also maintain system level data usable by multiple tenants or other data. Such system level data might include industry reports, news, postings, and the like that are sharable among tenants.
In certain embodiments, user systems 212 (which may be client systems) communicate with application servers 230 to request and update system-level and tenant-level data from system 216 that may require sending one or more queries to tenant data storage 222 and/or system data storage 224. System 216 (e.g., an application server 230 in system 216) automatically generates one or more SQL statements (e.g., one or more SQL queries) that are designed to access the desired information. System data storage 224 may generate query plans to access the requested data from the database.
Each database can generally be viewed as a collection of objects, such as a set of logical tables, containing data fitted into predefined categories. A “table” is one representation of a data object, and may be used herein to simplify the conceptual description of objects and custom objects. It should be understood that “table” and “object” may be used interchangeably herein. Each table generally contains one or more data categories logically arranged as columns or fields in a viewable schema. Each row or record of a table contains an instance of data for each category defined by the fields. For example, a social networking application database may include a table that describes a user with fields for basic contact information such as name, location, email, etc. Another table might describe organizations with which the user is affiliated, including fields for information such as home town, school(s) attended, work, affinity groups, etc. In some multi-tenant database systems, standard entity tables might be provided for use by all tenants. It should be understood that the word “entity” may also be used interchangeably herein with “object” and “table”.
In some multi-tenant database systems, tenants may be allowed to create and store custom objects, or they may be allowed to customize standard entities or objects, for example by creating custom fields for standard objects, including custom index fields. U.S. Pat. No. 7,779,039, filed Apr. 2, 2004, entitled “Custom Entities and Fields in a Multi-Tenant Database System”, which is hereby incorporated herein by reference, teaches systems and methods for creating custom objects as well as customizing standard objects in a multi-tenant database system. In certain embodiments, for example, all custom entity data rows are stored in a single multi-tenant physical table, which may contain multiple logical tables per organization. It is transparent to customers that their multiple “tables” are in fact stored in one large table or that their data may be stored in the same table as the data of other customers.
While one or more implementations have been described by way of example and in terms of the specific embodiments, it is to be understood that one or more implementations are not limited to the disclosed embodiments. To the contrary, it is intended to cover various modifications and similar arrangements as would be apparent to those skilled in the art. Therefore, the scope of the appended claims should be accorded the broadest interpretation so as to encompass all such modifications and similar arrangements.
In one aspect of the invention, an application provides end users the ability to access information that the user is most interested in quickly. The application permits a user to define ad hoc custom views against any objects and attributes available (e.g., contact information, account information, custom objects, etc.) with advanced search filters on a single page. The search is performed on a database system that stores relational data. The filters may be defined by the user from a mobile communications device. The application also allows the user to define multiple views with search filters from the mobile communications device. For example, with this application, a user can now define a highly configurable search for seeking out content that is of highest interest to the user in a single click. The user may also define several views on the same object and display them simultaneously.
In 304, information is provided to the mobile communications device to cause the mobile communications device to generate a first view of relational data. The first view is based on i) at least one of the several fields of at least one of the searchable tables, and ii) the relationship between the at least one of the several fields and its corresponding object. In some embodiments, the first view may include a combination of pick lists, from which a user can select, and text boxes, into which user may enter a string of characters. For example, the pick list may include an attribute (e.g., account name, account ID, etc.), or an operator (e.g., equals to, is less than, is greater than, etc.), and a text box may receive inputs of letters, numbers, symbols, or some combination thereof.
In 306, a set of user inputs is received based on the relationship between the at least one of the several fields to its corresponding object presented in the first view generated by the mobile communications device. The user inputs received may include, but are not limited to, a combination of selections from one or more pick lists and entry of a string of characters in one or more text boxes. The pick lists and text boxes that are provided in the first view are determined by the information provided by the metadata API. In other words, the information provided by the metadata API provides an indication of all the information that is available to be searched, and the relationship, if any, between the information available. The combination of selections of pick lists and entries into text boxes is used, in some instances, to apply an operator (selected from a pick list) to an attribute (also selected from a pick list) based on a value (entered into a text box). For example, the combination of selections and entries may be used to create a search for clients with contracts over a value of $5,000,000, where “contracts” and “over” are an attribute and an operator selected from two different pick lists, respectively, and where “$5,000,000” is a value entered into the text box.
Once the set of user inputs have been received, a query definition corresponding to the set of user inputs for searching the relational data in accordance with the set of user inputs is created in S308 and saved in S310. By creating and saving the query definition, the user may reuse the query definition at any time to perform the desired search on the database system. In some embodiments, the saved query definition may be associated with an icon that, when activated, performs the customized search. Thus, a user may perform the saved search with minimal inputs on the mobile communications device.
As an example, a salesperson who often travels from a home office in California to visit clients in New York may want to set up an advanced search in order to review the accounts of New York clients, particular those with contracts that will be expiring soon. The salesperson may open the application to launch a main page of the application. At launch, the searchable tables and corresponding fields in the database system may be identified, and the relationships between these fields and corresponding objects may be determined. As discussed above, the metadata API provides information about the schema of the several fields and the relationships.
Once determined, the salesperson may be presented with a first view that includes several categories from which the salesperson maybe select and/or modify. The first view may include a combination of pick lists and text boxes in some embodiments. The pick list may include several different attributes or operators, from which the user may select, and text boxes, into which letters, numbers, symbols, or some combination thereof may be input by the user. Furthering the example, the salesperson may select “contracts” as an attribute from an object pick list.
The application may also present to the salesperson a standard field for billing state/province as a filter from which the salesperson may select. This standard field may be presented based on determined relationships. The salesperson may set the relationship to “equals,” and the state abbreviation “NY” for New York in this case. The salesperson may define additional metrics by selecting additional related fields. For example, the salesperson may make additional entries to customize the search for contract data in a customer relationship management system of an enterprise to be performed. That is, the salesperson may want to focus on contracts over $5,000,000, and thus may make pick list selections and text box entries indicating this desire. The salesperson may also select contract renewal date as another filter, and set the relationship to “less than,” provide a parameter of “30 days.” By taking the above steps, the salesperson is able to create query that retrieves information for New York clients with contracts over $5,000,000 that will expire within 30 days. Further details of the additional metrics are provided below with reference to
This query, which is defined by the salesperson, may be saved. Thus, the salesperson may be able to perform the saved search of relational data via a mobile phone by activating a single icon, and can quickly review the views based on the search results on a single page displayed by a mobile phone. In this example, the mobile phone displays a page that begins with a view of the New York clients whose contracts will expire within 30 days and includes a view of opportunities with a value that exceeds $5,000,000.
Referring back to the example described in
From main page 400, the user may select a manage views button 410 displayed on the main page of application on their mobile phone.
Selecting delete button 530 will cause the corresponding category to be deleted. For example, if delete button 530 is selected by the user in this example, “My important contracts” 540 along with all associated queries will be deleted from the application for the user. When the user selects edit button 520 from manage view page 500, edit view pages may be provided by the application.
On edit view page 600, the user may set alert name 615 to be associated with the category. In this example, alert name 615 is set as “2—My accounts.” However, alert name 615 may be entered as any combination of alpha-numeric characters and symbols. This allows the user to customize how the user would like the name of category to be displayed. In some embodiments, there may be a limit to the number of characters permitted in alert name 615, as well as a limit to symbols that may be included. Alert name 615 may be used by main page 500 to sort the different categories.
Edit view page 600 may also include main object query 620 and field used for label 630, with corresponding pick lists 625 and 635. Main object query 620 is constructed based on a selection of parameters. In this example, main object query 620 provides pick list 625 for selecting an object that the user would like to filter against. Pick list 625 may include all objects available on a platform such as Salesforce1™. Field used for label 630 is the field that will be used to display each search result in the main page, and may be selected from pick list 635 to indicate which label the user would like to use for labeling the list. While this example provides field used for label 630 and secondary field used for label 640, one of ordinary skill in the art may appreciate that any number of fields may be used for labels.
First filter criteria 645 further provides operator used to filter 660 as a pick list 665 from which the user may select. Referring back to the example in
First filter criteria 645 also provides value used to filter 670 as textbox 675 in which the user may enter text. The text in textbox 675 provides a value to which the selected operator may be applied. Referring back to the example in
While the example shown in
The examples described above should not be taken as limiting or preferred. These examples sufficiently illustrate the technology disclosed without being overly complicated, and are not intended to illustrate all embodiments of the technology disclosed. A person having ordinary skill in the art will appreciate that there are many potential applications for one or more implementations of this disclosure.
While one or more implementations have been described by way of example and in terms of the specific embodiments, it is to be understood that one or more implementations are not limited to the disclosed embodiments. To the contrary, it is intended to cover various modifications and similar arrangements as would be apparent to those skilled in the art. Therefore, the scope of the appended claims should be accorded the broadest interpretation so as to encompass all such modifications and similar arrangements.
This application is a continuation of U.S. application Ser. No. 14,694,255, filed Apr. 23, 2015, which claims the benefit of U.S. Provisional Patent Application No. 62/031,047, filed Jul. 30, 2014, the entire contents of both which are incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
5577188 | Zhu | Nov 1996 | A |
5608872 | Schwartz | Mar 1997 | A |
5649104 | Carleton | Jul 1997 | A |
5715450 | Ambrose et al. | Feb 1998 | A |
5761419 | Schwartz | Jun 1998 | A |
5819038 | Carleton | Oct 1998 | A |
5821937 | Tonelli et al. | Oct 1998 | A |
5831610 | Tonelli et al. | Nov 1998 | A |
5873096 | Lim et al. | Feb 1999 | A |
5918159 | Fomukong et al. | Jun 1999 | A |
5963953 | Cram et al. | Oct 1999 | A |
6092083 | Brodersen et al. | Jul 2000 | A |
6161149 | Achacoso et al. | Dec 2000 | A |
6169534 | Raffel et al. | Jan 2001 | B1 |
6178425 | Brodersen et al. | Jan 2001 | B1 |
6189011 | Lim et al. | Feb 2001 | B1 |
6216135 | Brodersen et al. | Apr 2001 | B1 |
6233617 | Rothwein et al. | May 2001 | B1 |
6266669 | Brodersen et al. | Jul 2001 | B1 |
6295530 | Ritchie et al. | Sep 2001 | B1 |
6324568 | Diec et al. | Nov 2001 | B1 |
6324693 | Brodersen et al. | Nov 2001 | B1 |
6336137 | Lee et al. | Jan 2002 | B1 |
D454139 | Feldcamp et al. | Mar 2002 | S |
6367077 | Brodersen et al. | Apr 2002 | B1 |
6393605 | Loomans | May 2002 | B1 |
6405220 | Brodersen et al. | Jun 2002 | B1 |
6434550 | Warner et al. | Aug 2002 | B1 |
6446089 | Brodersen et al. | Sep 2002 | B1 |
6535909 | Rust | Mar 2003 | B1 |
6549908 | Loomans | Apr 2003 | B1 |
6553563 | Ambrose et al. | Apr 2003 | B2 |
6560461 | Fomukong et al. | May 2003 | B1 |
6574635 | Stauber et al. | Jun 2003 | B2 |
6577726 | Huang et al. | Jun 2003 | B1 |
6601087 | Zhu | Jul 2003 | B1 |
6604117 | Lim et al. | Aug 2003 | B2 |
6604128 | Diec | Aug 2003 | B2 |
6609150 | Lee et al. | Aug 2003 | B2 |
6621834 | Scherpbier | Sep 2003 | B1 |
6654032 | Zhu | Nov 2003 | B1 |
6665648 | Brodersen et al. | Dec 2003 | B2 |
6665655 | Warner et al. | Dec 2003 | B1 |
6684438 | Brodersen et al. | Feb 2004 | B2 |
6711565 | Subramaniam et al. | Mar 2004 | B1 |
6724399 | Katchour et al. | Apr 2004 | B1 |
6728702 | Subramaniam et al. | Apr 2004 | B1 |
6728960 | Loomans et al. | Apr 2004 | B1 |
6732095 | Warshavsky et al. | May 2004 | B1 |
6732100 | Brodersen et al. | May 2004 | B1 |
6732111 | Brodersen et al. | May 2004 | B2 |
6754681 | Brodersen et al. | Jun 2004 | B2 |
6763351 | Subramaniam et al. | Jul 2004 | B1 |
6763501 | Zhu | Jul 2004 | B1 |
6768904 | Kim | Jul 2004 | B2 |
6772229 | Achacoso et al. | Aug 2004 | B1 |
6782383 | Subramaniam et al. | Aug 2004 | B2 |
6804330 | Jones et al. | Oct 2004 | B1 |
6826565 | Ritchie et al. | Nov 2004 | B2 |
6826582 | Chatterjee et al. | Nov 2004 | B1 |
6826745 | Coker | Nov 2004 | B2 |
6829655 | Huang et al. | Dec 2004 | B1 |
6842748 | Warner et al. | Jan 2005 | B1 |
6850895 | Brodersen et al. | Feb 2005 | B2 |
6850949 | Warner et al. | Feb 2005 | B2 |
7062502 | Kesler | Jun 2006 | B1 |
7340411 | Cook | Mar 2008 | B2 |
7356482 | Frankland et al. | Apr 2008 | B2 |
7401094 | Kesler | Jul 2008 | B1 |
7620655 | Larsson | Nov 2009 | B2 |
7624114 | Paulus | Nov 2009 | B2 |
7698160 | Beaven et al. | Apr 2010 | B2 |
7779475 | Jakobson et al. | Aug 2010 | B2 |
7851004 | Hirao et al. | Dec 2010 | B2 |
8010663 | Firminger et al. | Aug 2011 | B2 |
8014943 | Jakobson | Sep 2011 | B2 |
8015495 | Achacoso et al. | Sep 2011 | B2 |
8032297 | Jakobson | Oct 2011 | B2 |
8082301 | Ahlgren et al. | Dec 2011 | B2 |
8095413 | Beaven et al. | Jan 2012 | B1 |
8095594 | Beaven et al. | Jan 2012 | B2 |
8209308 | Jakobson et al. | Jun 2012 | B2 |
8275836 | Beaven et al. | Sep 2012 | B2 |
8484111 | Frankland et al. | Jul 2013 | B2 |
8490025 | Jakobson et al. | Jul 2013 | B2 |
8504945 | Jakobson et al. | Aug 2013 | B2 |
8510664 | Rueben et al. | Aug 2013 | B2 |
8566301 | Rueben et al. | Oct 2013 | B2 |
8646103 | Jakobson et al. | Feb 2014 | B2 |
20010044791 | Richter et al. | Nov 2001 | A1 |
20020072951 | Lee et al. | Jun 2002 | A1 |
20020082892 | Raffel | Jun 2002 | A1 |
20020129352 | Brodersen et al. | Sep 2002 | A1 |
20020140731 | Subramanian et al. | Oct 2002 | A1 |
20020143997 | Huang et al. | Oct 2002 | A1 |
20020162090 | Parnell et al. | Oct 2002 | A1 |
20020165742 | Robbins | Nov 2002 | A1 |
20030004971 | Gong | Jan 2003 | A1 |
20030018705 | Chen et al. | Jan 2003 | A1 |
20030018830 | Chen et al. | Jan 2003 | A1 |
20030066031 | Laane et al. | Apr 2003 | A1 |
20030066032 | Ramachandran et al. | Apr 2003 | A1 |
20030069936 | Warner et al. | Apr 2003 | A1 |
20030070000 | Coker et al. | Apr 2003 | A1 |
20030070004 | Mukundan et al. | Apr 2003 | A1 |
20030070005 | Mukundan et al. | Apr 2003 | A1 |
20030074418 | Coker et al. | Apr 2003 | A1 |
20030120675 | Stauber et al. | Jun 2003 | A1 |
20030151633 | George et al. | Aug 2003 | A1 |
20030159136 | Huang et al. | Aug 2003 | A1 |
20030187921 | Diec et al. | Oct 2003 | A1 |
20030189600 | Gune et al. | Oct 2003 | A1 |
20030204427 | Gune et al. | Oct 2003 | A1 |
20030206192 | Chen et al. | Nov 2003 | A1 |
20040001092 | Rothwein et al. | Jan 2004 | A1 |
20040015981 | Coker et al. | Jan 2004 | A1 |
20040027388 | Berg et al. | Feb 2004 | A1 |
20040128001 | Levin et al. | Jul 2004 | A1 |
20040181543 | Wu | Sep 2004 | A1 |
20040186860 | Lee et al. | Sep 2004 | A1 |
20040193510 | Catahan et al. | Sep 2004 | A1 |
20040199489 | Barnes-Leon et al. | Oct 2004 | A1 |
20040199536 | Barnes-Leon et al. | Oct 2004 | A1 |
20040249854 | Barnes-Leon et al. | Dec 2004 | A1 |
20040260534 | Pak et al. | Dec 2004 | A1 |
20040260659 | Chan et al. | Dec 2004 | A1 |
20040268299 | Lei et al. | Dec 2004 | A1 |
20050039144 | Wada | Feb 2005 | A1 |
20050050555 | Exley et al. | Mar 2005 | A1 |
20050091098 | Brodersen et al. | Apr 2005 | A1 |
20090063415 | Chatfield et al. | Mar 2009 | A1 |
20090100342 | Rueben et al. | Apr 2009 | A1 |
20090177744 | Marlow et al. | Jul 2009 | A1 |
20110119287 | Chen | May 2011 | A1 |
20120159368 | Negrillo | Jun 2012 | A1 |
20120233137 | Jakobson et al. | Sep 2012 | A1 |
20130007069 | Chaliparambil | Jan 2013 | A1 |
20130218948 | Jakobson | Aug 2013 | A1 |
20130218949 | Jakobson | Aug 2013 | A1 |
20130218966 | Jakobson | Aug 2013 | A1 |
20140359537 | Jakobson et al. | Dec 2014 | A1 |
20150007050 | Jakobson et al. | Jan 2015 | A1 |
20150095162 | Jakobson et al. | Apr 2015 | A1 |
Entry |
---|
U.S. Appl. No. 13/998,890. |
U.S. Appl. No. 13/986,251. |
Number | Date | Country | |
---|---|---|---|
20200081887 A1 | Mar 2020 | US |
Number | Date | Country | |
---|---|---|---|
62031047 | Jul 2014 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 14694255 | Apr 2015 | US |
Child | 16529951 | US |