Abstract: A personal electronic parking system and method adapted to identify, track, predict, alert, manage and collect payment, and enforce on-street and off-street parking, the system including a central cloud network adapted to generate and manage user data and parking data, a user interface adapted to show users parking information relevant to the user, a unique machine-readable code, wherein the code provides identification of a specific vehicle used by the user, one or more sensors, one or more meter devices adapted to connect with the central cloud network and the user interface, and a parking payment and enforcement portal.

Abstract: A personal electronic parking system and method adapted to identify, track, predict, alert, manage and collect payment, and enforce on-street and off-street parking, the system including a central cloud network adapted to generate and manage user data and parking data, a user interface adapted to show users parking information relevant to the user, a unique machine-readable code, wherein the code provides identification of a specific vehicle used by the user, one or more sensors, one or more meter devices adapted to connect with the central cloud network and the user interface, and a parking payment and enforcement portal.

Abstract: A personal electronic parking system and method adapted to identify, track, predict, alert, manage and collect payment, and enforce on-street and off-street parking, the system including a central cloud network adapted to generate and manage user data and parking data, a user interface adapted to show users parking information relevant to the user, a unique machine-readable code, wherein the code provides identification of a specific vehicle used by the user, one or more sensors, one or more meter devices adapted to connect with the central cloud network and the user interface, and a parking payment and enforcement portal.

Abstract: A machine learning multi-dimensional acoustic feature vector authentication system, according to an example of the present disclosure, builds and trains multiple multi-dimensional acoustic feature vector machine learning classifiers to determine a probability of spoofing of a voice. The system may extract an acoustic feature from a voice sample of a user. The system may convert the acoustic feature into multi-dimensional acoustic feature vectors and apply the multi-dimensional acoustic feature vectors to the multi-dimensional acoustic feature vector machine learning classifiers to detect spoofing and determine whether to authenticate a user.

Abstract: A machine learning multi-dimensional acoustic feature vector authentication system, according to an example of the present disclosure, builds and trains multiple multi-dimensional acoustic feature vector machine learning classifiers to determine a probability of spoofing of a voice. The system may extract an acoustic feature from a voice sample of a user. The system may convert the acoustic feature into multi-dimensional acoustic feature vectors and apply the multi-dimensional acoustic feature vectors to the multi-dimensional acoustic feature vector machine learning classifiers to detect spoofing and determine whether to authenticate a user.

Abstract: Various embodiments of systems, architecture, and/or methods are described for negotiating accesses to wireless spectrum of heterogeneous networks (e.g., Wifi, cellular 3G, cellular LTE, cellular 5G etc.) among multiple users, service providers, and services. As such, a software defined architecture is disclosed. In some embodiments, the disclosed software defined architecture can include establishing a (dedicated) logical control path from a central controller remotely located from an end device of a user. Such a logical control path is agnostic to the type and/or number of underlying wireless networks and is supplemental to conventionally known data paths, i.e., paths for exchanging data.

Abstract: According to an embodiment, a natural language processing artificial intelligence network and data security system determines an emotions model for one or more users from electronic natural language interactions of the users. The system includes a natural language processing decoder to determine textual features from the electronic natural language interactions that may be indicative of emotional states of the users. They system includes an emotions model encoder that generates an emotions model based on the emotional states of the users in the electronic natural language interactions retrieved from the data storage. The system also includes an artificial intelligence network and data security subsystem.

Abstract: According to an embodiment, a natural language processing artificial intelligence network and data security system determines an emotions model for one or more users from electronic natural language interactions of the users. The system includes a natural language processing decoder to determine textual features from the electronic natural language interactions that may be indicative of emotional states of the users. They system includes an emotions model encoder that generates an emotions model based on the emotional states of the users in the electronic natural language interactions retrieved from the data storage. The system also includes an artificial intelligence network and data security subsystem.

Abstract: Various embodiments of systems, architecture, and/or methods are described for negotiating accesses to wireless spectrum of heterogeneous networks (e.g., Wifi, cellular 3G, cellular LTE, cellular 5G etc.) among multiple users, service providers, and services. As such, a software defined architecture is disclosed. In some embodiments, the disclosed software defined architecture can include establishing a (dedicated) logical control path from a central controller remotely located from an end device of a user. Such a logical control path is agnostic to the type and/or number of underlying wireless networks and is supplemental to conventionally known data paths, i.e., paths for exchanging data.

Abstract: An apparatus and method for determining whether text is deceptive has a computer programmed with software that automatically analyzes text in digital form by at least one of statistical analysis of psycho-linguistic cues, IP geo-location, gender analysis, authorship analysis, and analysis to detect coded/camouflaged messages. The computer has truth data against which the text message can be compared and a graphical user interface. The computer may be connectable to the Internet and may obtain the text automatically. Speech-to-text software may be used to convert verbal messages to text for analysis. The system may be made available on a webpage, web service, on a computer or by a wireless device. The text may be emails, website content, tweets. In one embodiment, the system detects coded messages.

Abstract: A method and apparatus for automatically identifying harmful electronic messages, such as those presented in emails, on Craigslist or on Twitter, Facebook and other social media websites, features methodology for discriminating unwanted garbage communications (spam) and unwanted deceptive messages (scam) from wanted, truthful communications based upon patterns discernable from samples of each type of electronic communication. Methods are proposed that enable discrimination of wanted from unwanted communications in short electronic messages, such as on Twitter and for multilingual application.

Abstract: An apparatus and method for determining whether a text is deceptive may comprise analyzing a body of textual content known to be one of text containing true content and text containing deceptive content; identifying psycho-linguistic cues that are indicative of a text being deceptive; statistically analyzing, via a computing device, a given text based upon the psycho-linguistic cues to determine if the text is deceptive. The apparatus and method may further comprise weighting the psycho-linguistic cues and statistically analyzing based on the weighted psycho-linguistic cues. The statistically analyzing step may be performed using one of a cue matching analysis, a weighted cue matching analysis, a Markov chain analysis, and a sequential probability ratio testing binary hypothesis analysis. The psycho-linguistic cues may be separated into categories, including increasing trend cues and decreasing trend cues and analyzed according to presence in a category from within the categories.

Abstract: Apparatus and methods are disclosed for improving wireless and other network communications, e.g., through improving resource utilization, which may comprise the steps of accumulating channel modeling information relating to channel performance; calculating a channel parameter threshold based on the accumulated channel modeling information, whereby the channel parameter, as measured, being above the threshold indicates the channel is a good channel; adjusting traffic over a selected good channel to improve performance of the network or a network resource. The network resource may comprises battery life for devices operating on the network, data rate for devices operating on the network, constituting or reconstituting ad hoc networks comprising nodes separated by multiple hops, continuity of connectivity within a single communication link over the network, etc.

Abstract: Methods and apparatus are provided for the efficient use of cognitive radios in the performance of dynamic spectrum access. This includes spectrum sensing algorithms, adaptive optimized sensing of parameters based on changing radio environments, and identifying vacant channels. Protocols for switching communication links to different channels, and synchronizing communicating nodes in order to maintain reliable connectively while maximizing spectrum usage are also provided.

Abstract: Methods and apparatus are provided for the efficient use of cognitive radios in the performance of dynamic spectrum access. This includes spectrum sensing algorithms, adaptive optimized sensing of parameters based on changing radio environments, and identifying vacant channels. Protocols for switching communication links to different channels, and synchronizing communicating nodes in order to maintain reliable connectively while maximizing spectrum usage are also provided.

Abstract: A steganographic message/advertisement embedding method is presented that can be used for contextual and targeted advertising supporting unobtrusive and on-demand message/advertisement delivery. The present invention presents over two client devices, the method includes receiving, on a first client device, a primary multimedia presentation with a plurality of steganographic codes embedded therein; whereby the steganographic code is not perceivable during a rendering of the multimedia presentation and the steganographic code is associated with at least one secondary multimedia presentation. Next; the primary multimedia presentation is rendered on the first client device. The first client device receives a user selection to select at least one of the steganographic codes.

Abstract: An apparatus and method for determining whether text is deceptive has a computer programmed with software that automatically analyzes text in digital form by at least one of statistical analysis of psycho-linguistic cues, IP geo-location, gender analysis, authorship analysis, and analysis to detect coded/camouflaged messages. The computer has truth data against which the text message can be compared and a graphical user interface. The computer may be connectable to the Internet and may obtain the text automatically. Speech-to-text software may be used to convert verbal messages to text for analysis. The system may be made available on a webpage, web service, on a computer or by a wireless device. The text may be emails, website content, tweets. In one embodiment, the system detects coded messages (FIG. 19).

Abstract: An apparatus and method for determining whether a text is deceptive may comprise analyzing a body of textual content known to be one of text containing true content and text containing deceptive content; identifying psycho-linguistic cues that are indicative of a text being deceptive; statistically analyzing, via a computing device, a given text based upon the psycho-linguistic cues to determine if the text is deceptive. The apparatus and method may further comprise weighting the psycho-linguistic cues and statistically analyzing based on the weighted psycho-linguistic cues. The statistically analyzing step may be performed using one of a cue matching analysis, a weighted cue matching analysis, a Markov chain analysis, and a sequential probability ratio testing binary hypothesis analysis. The psycho-linguistic cues may be separated into categories, including increasing trend cues and decreasing trend cues and analyzed according to presence in a category from within the categories.

Abstract: A method and apparatus for automatically identifying harmful electronic messages, such as those presented in emails, on Craigslist or on Twitter, Facebook and other social media websites, features methodology for discriminating unwanted garbage communications (spam) and unwanted deceptive messages (scam) from wanted, truthful communications based upon patterns discernable from samples of each type of electronic communication. Methods are proposed that enable discrimination of wanted from unwanted communications in short electronic messages, such as on Twitter and for multilingual application.

Abstract: Apparatus and methods are disclosed for improving wireless and other network communications, e.g., through improving resource utilization, which may comprise the steps of accumulating channel modeling information relating to channel performance; calculating a channel parameter threshold based on the accumulated channel modeling information, whereby the channel parameter, as measured, being above the threshold indicates the channel is a good channel; adjusting traffic over a selected good channel to improve performance of the network or a network resource. The network resource may comprises battery life for devices operating on the network, data rate for devices operating on the network, constituting or reconstituting ad hoc networks comprising nodes separated by multiple hops, continuity of connectivity within a single communication link over the network, etc.