Abstract: A method includes analyzing a preview image made by an image sensor when operating in a preview image mode to determine if the preview image contains some portion that corresponds to information that is considered not subject to being imaged. The method further includes, if it is determined that the preview image does comprise some image portion that corresponds to information that is considered not subject to being imaged, disabling the image sensor from capturing an image that would correspond to the preview image. Analyzing can include accessing a data storage that contains representations of information that is considered not subject to being imaged for comparison with image features extracted from the preview image, where the data storage is at least one of contained in a device that also contains the image sensor, or is located remotely from the device and can be accessed via a wireless connection.

Abstract: A method includes analyzing a preview image made by an image sensor when operating in a preview image mode to determine if the preview image contains some portion that corresponds to information that is considered not subject to being imaged. The method further includes, if it is determined that the preview image does comprise some image portion that corresponds to information that is considered not subject to being imaged, disabling the image sensor from capturing an image that would correspond to the preview image. Analyzing can include accessing a data storage that contains representations of information that is considered not subject to being imaged for comparison with image features extracted from the preview image, where the data storage is at least one of contained in a device that also contains the image sensor, or is located remotely from the device and can be accessed via a wireless connection.

Abstract: Determining a number of kernels within a model is provided. A number of kernels that include data samples of a majority data class of an imbalanced training data set is determined based on a set of generated artificial data samples for a minority data class of the imbalanced training data set. The number of kernels within the model is generated based on the set of generated artificial data samples. A likelihood of the set of generated artificial data samples being included in the majority data class of the imbalanced training data set is calculated. Parameters of each kernel in the number of kernels are updated based on the likelihood of the set of generated artificial data samples being included in the majority data class of the imbalanced training data set. Each kernel in the number of kernels is adjusted based on the updated parameters.

Abstract: A method for predicting insider threat includes mining electronic data of an organization corresponding to activity of an entity, determining features of the electronic data corresponding to the activity of the entity, classifying the features corresponding to the activity of the entity, determining sequences of classified features matching one or more patterns of insider threat, scoring the entity according to matches of the classified features to the one or more patterns of insider threat, and predicting an insider threat corresponding to the entity according to the score.

Abstract: Various communication systems may benefit from physical layer watermarking. For example, active sensing for dynamic spectrum access may be performed using physical layer watermarking, such as watermarking based on channel effects and/or receiver distortion. A method may include, for example, obtaining an original signal to be transmitted to at least one receiver. The method may also include watermarking the original signal with at least one of authentication data or ancillary data to provide an enhanced signal. The watermarking can include a physical layer watermark. The physical layer watermark can be configured to emulate at least one a channel effect or a receiver distortion. The method can further include transmitting the enhanced signal to the at least one receiver.

Abstract: The present disclosure proposes a method of cooperative MIMO wireless communication, and a base station using the same. A base station would have a plurality of radio remote units (RRUs), and each of the RRUs may have a specific radio coverage and a plurality of antennas coupled to each of the RRUs. The function of the base station may include receiving a UE information, receiving a service flow, deriving a service type of the service flow, and determining a MIMO scheme, modulating the service flow into a MIMO stream according to the MIMO scheme, allocating a plurality of resource blocks, wherein the resource blocks may correspond to a portion or all of the RRUs, distributing the MIMO stream into a plurality of downlink sub streams and transmitting the downlink sub streams through the resource blocks by the RRUs corresponding to the resource blocks.

Abstract: Injecting generated data samples into a minority data class of an imbalanced training data set is provided. In response to receiving an input to balance the imbalanced training data set that includes a majority data class and the minority data class, a set of data samples is generated for the minority data class. A distance is calculated from each data sample in the set of generated data samples to a center of a kernel that includes a set of data samples of the majority data class. Each data sample in the set of generated data samples is stored within a corresponding distance score bucket based on the calculated distance of a data sample. Generated data samples are selected from a number of highest ranking distance score buckets. The generated data samples selected from the number of highest ranking distance score buckets are injected into the minority data class.

Abstract: Determining a number of kernels within a model is provided. A number of kernels that include data samples of a majority data class of an imbalanced training data set is determined based on a set of generated artificial data samples for a minority data class of the imbalanced training data set. The number of kernels within the model is generated based on the set of generated artificial data samples. A likelihood of the set of generated artificial data samples being included in the majority data class of the imbalanced training data set is calculated. Parameters of each kernel in the number of kernels are updated based on the likelihood of the set of generated artificial data samples being included in the majority data class of the imbalanced training data set. Each kernel in the number of kernels is adjusted based on the updated parameters.

Abstract: A method for predicting insider threat includes mining electronic data of an organization corresponding to activity of an entity, determining features of the electronic data corresponding to the activity of the entity, classifying the features corresponding to the activity of the entity, determining sequences of classified features matching one or more patterns of insider threat, scoring the entity according to matches of the classified features to the one or more patterns of insider threat, and predicting an insider threat corresponding to the entity according to the score.

Abstract: A method and system of detecting colluders conducting a collusion attack including a minority-type collusion attack on a digital product includes the generation of codewords used as watermarks in the digital product. The inner code of the codewords is generated using permutations of rows in a Hadamard matrix and concatenating them together. A typical outer code of the codeword is the Reed Solomon code. An adaptive detector is able to accurately detect one of three or more colluders of a minority-type attack. Prior art schemes using an error correcting code-based watermarking mechanism with an inner code fail to detect colluders with a minority-type collusion attack which includes three colluders.

Abstract: Injecting generated data samples into a minority data class of an imbalanced training data set is provided. In response to receiving an input to balance the imbalanced training data set that includes a majority data class and the minority data class, a set of data samples is generated for the minority data class. A distance is calculated from each data sample in the set of generated data samples to a center of a kernel that includes a set of data samples of the majority data class. Each data sample in the set of generated data samples is stored within a corresponding distance score bucket based on the calculated distance of a data sample. Generated data samples are selected from a number of highest ranking distance score buckets. The generated data samples selected from the number of highest ranking distance score buckets are injected into the minority data class.

Abstract: A method and apparatus are described including generating a unique code for each of a plurality of users using a plurality of symbols, generating a plurality of codes representing the plurality of symbols, substituting the plurality of codes into the unique code for each of the plurality of users, permuting the code resulting from the substitution to produce a codeword for each of the plurality of users and embedding the codeword into digital content. The second generating act further includes generating a string of first symbols followed by second symbols, wherein the first symbols are all ones and the second symbols are all negative ones, wherein a number of first symbols is equal to a number of the second symbols, and wherein if a length of the first symbols followed by the second symbols is less than a length of the code, then the first symbols followed by the second symbols are repeated until the code length is filled.

Abstract: The present disclosure proposes a method of cooperative MIMO wireless communication, and a base station using the same. A base station would have a plurality of radio remote units (RRUs), and each of the RRUs may have a specific radio coverage and a plurality of antennas coupled to each of the RRUs. The function of the base station may include receiving a UE information, receiving a service flow, deriving a service type of the service flow, and determining a MIMO scheme, modulating the service flow into a MIMO stream according to the MIMO scheme, allocating a plurality of resource blocks, wherein the resource blocks may correspond to a portion or all of the RRUs, distributing the MIMO stream into a plurality of downlink sub streams and transmitting the downlink sub streams through the resource blocks by the RRUs corresponding to the resource blocks.

Abstract: A phase retardance inspection instrument, comprising: a light source module for generating a single-wavelength light beam; a circularly polarized light generating module, comprising a polarizer and a first phase retarder, for receiving the single-wavelength light beam as it is guided to pass through the polarizer and the first phase retarder in order; and a detecting module, comprising a second phase retarder, a polarizing beam splitter, a first image sensor and a second image sensor, for receiving and guiding a circularly polarized light beam to travel through the second phase retarder and the polarizing beam splitter in order after it passes through a substrate under inspection, wherein the polarizing beam splitter splits an elliptically polarized light beam into intensity vector components of a left-hand circularly polarized light beam and a right-hand circularly polarized light beam, which are to be emitted into the first image sensor and the second image sensor, respectively.

Abstract: A method and system of detecting colluders conducting a collusion attack including a minority-type collusion attack on a digital product includes the generation of codewords used as watermarks in the digital product. The inner code of the codewords is generated using permutations of rows in a Hadamard matrix and concatenating them together. A typical outer code of the codeword is the Reed Solomon code. An adaptive detector is able to accurately detect one of three or more colluders of a minority-type attack. Prior art schemes using an error correcting code-based watermarking mechanism with an inner code fail to detect colluders with a minority-type collusion attack which includes three colluders.

Abstract: A method and apparatus are described including generating a unique code for each of a plurality of users using a plurality of symbols, generating a plurality of codes representing the plurality of symbols, substituting the plurality of codes into the unique code for each of the plurality of users, permuting the code resulting from the substitution to produce a codeword for each of the plurality of users and embedding the codeword into digital content. The second generating act further includes generating a string of first symbols followed by second symbols, wherein the first symbols are all ones and the second symbols are all negative ones, wherein a number of first symbols is equal to a number of the second symbols, and wherein if a length of the first symbols followed by the second symbols is less than a length of the code, then the first symbols followed by the second symbols are repeated until the code length is filled.

Abstract: A phase retardance inspection instrument, comprising: a light source module for generating a single-wavelength light beam; a circularly polarized light generating module, comprising a polarizer and a first phase retarder, for receiving the single-wavelength light beam as it is guided to passe through the polarizer and the first phase retarder in order; and a detecting module, comprising a second phase retarder, a polarizing beam splitter, a first image sensor and a second image sensor, for receiving and guiding a circularly polarized light beam to travel through the second phase retarder and the polarizing beam splitter in order after it passes through a substrate under inspection, wherein the polarizing beam splitter splits an elliptically polarized light beam into intensity vector components of a left-hand circularly polarized light beam and a right-hand circularly polarized light beam, which are to be emitted into the first image sensor and the second image sensor, respectively.

Abstract: A waterproof part including a top case, a bottom case and at least one pin is provided. The top case has at least one first through hole. The bottom case has at least one second through hole that corresponds to the first through hole. The pin includes a conductive bolt, a pad, and an elastic conductive component. The conductive bolt is disposed in the second through hole and fastened to the bottom case. The pad is disposed in the first through hole and has at least one first fastening element. The pad is fastened to the top case by the first fastening element. The elastic conductive component is tightly disposed between the conductive bolt and the pad so as to connect to the conductive bolt and the pad electrically.

Abstract: A waterproof part including a top case, a bottom case and at least one pin is provided. The top case has at least one first through hole. The bottom case has at least one second through hole that corresponds to the first through hole. The pin includes a conductive bolt, a pad, and an elastic conductive component. The conductive bolt is disposed in the second through hole and fastened to the bottom case. The pad is disposed in the first through hole and has at least one first fastening element. The pad is fastened to the top case by the first fastening element. The elastic conductive component is tightly disposed between the conductive bolt and the pad so as to connect to the conductive bolt and the pad electrically.