Abstract: One or more embodiments provide a load balancing solution for improving the runtime performance of parallel HDL simulators. During compilation each process is analyzed to determine a simulation cost based on complexity of the HDL processes. During simulation, processes to be executed in the same simulation cycle are scheduled using the simulation costs computed at compile-time in order to reduce the delay incurred during simulation.

Abstract: The aesthetic quality of a picture is automatically inferred using visual content as a machine learning problem using, for example, a peer-rated, on-line photo sharing Website as data source. Certain visual features of images are extracted based on the intuition that they can discriminate between aesthetically pleasing and displeasing images. A one-dimensional support vector machine is used to identify features that have noticeable correlation with the community-based aesthetics ratings. Automated classifiers are constructed using the support vector machines and classification trees, with a simple feature selection heuristic being applied to eliminate irrelevant features. Linear regression on polynomial terms of the features is also applied to infer numerical aesthetics ratings.

Abstract: A rechargeable battery is disclosed. The rechargeable battery of the invention includes a high density capacitor and an integrated circuit. The high density capacitor is connected to a ground terminal and a first node carrying a first voltage. The integrated circuit includes a band gap circuit, a first detecting unit, a voltage divider, a second detecting unit and at least one low dropout voltage regulator. The band gap circuit generates a band gap voltage according to the first voltage. The first detecting unit measures the first voltage and determines whether to apply an input charging voltage to the high density capacitor. The voltage divider is connected in parallel with the high density capacitor and has a second node carrying a second voltage. The second detecting unit measures the second voltage according to the band gap voltage and determines whether to connect a third node to the first node.

Abstract: The trend of analyzing big data in artificial intelligence requires more scalable machine learning algorithms, among which clustering is a fundamental and arguably the most widely applied method. To extend the applications of regular vector-based clustering algorithms, the Discrete Distribution (D2) clustering algorithm has been developed for clustering bags of weighted vectors which are well adopted in many emerging machine learning applications. The high computational complexity of D2-clustering limits its impact in solving massive learning problems. Here we present a parallel D2-clustering algorithm with substantially improved scalability. We develop a hierarchical structure for parallel computing in order to achieve a balance between the individual-node computation and the integration process of the algorithm. The parallel algorithm achieves significant speed-up with minor accuracy loss.

Abstract: Shape features in natural images influence emotions aroused in human beings. An in-depth statistical analysis helps to understand the relationship between shapes and emotions. Through experimental results on the International Affective Picture System (IAPS) dataset, evidence is presented as to the significance of roundness-angularity and simplicity-complexity on predicting emotional content in images. Shape features are combined with other state-of-the-art features to show a gain in prediction and classification accuracy. Emotions are modeled from a dimensional perspective in order to predict valence and arousal ratings, which have advantages over modeling the traditional discrete emotional categories. Images are distinguished vis-a-vis strong emotional content from emotionally neutral images with high accuracy.

Abstract: Disclosed are compounds having the formula: wherein R1, R2, R3 and Z are as defined herein, and methods of making and using the same.

Abstract: The present invention relates to a compound of the following formula: where R1-R6, R10, Y, n, m, p, and q are as defined herein. Compounds and compositions of the present invention are useful for the treatment of diseases associated with the overexpression of CCR2.

Abstract: Disclosed are compounds having the formula: or a salt thereof, wherein A, n, R1, R1A, and R2 are as defined herein, and methods of making and using the same.

Abstract: Disclosed are compounds having the formula (I): wherein Z, n, R1, R1A, R3, R4, and R5 are as defined herein, and methods of making and using the same.

Abstract: Methods and apparatus are provided for on-chip signal waveform measurement. An integrated circuit is provided that comprises an on-chip comparator for comparing a voltage level of a signal to be measured to a voltage level of a reference voltage, at a time determined by at least one edge of an evaluation clock. The reference voltage can be varied to obtain a plurality of voltage points. The evaluation clock can be varied to obtain a plurality of time sampling points. In addition, the reference voltage and the evaluation clock can both be varied to obtain a plurality of voltage-time sampling points constituting a waveform corresponding to the signal to be measured.

Abstract: Disclosed are compounds having the formula: wherein R1A, R1B, R2 and R3 are defined herein, and methods of making and using the same.

Abstract: The aesthetic quality of a picture is automatically inferred using visual content as a machine learning problem using, for example, a peer-rated, on-line photo sharing Website as data source. Certain visual features of images are extracted based on the intuition that they can discriminate between aesthetically pleasing and displeasing images. A one-dimensional support vector machine is used to identify features that have noticeable correlation with the community-based aesthetics ratings. Automated classifiers are constructed using the support vector machines and classification trees, with a simple feature selection heuristic being applied to eliminate irrelevant features. Linear regression on polynomial terms of the features is also applied to infer numerical aesthetics ratings.

Abstract: A rechargeable battery is disclosed. The rechargeable battery of the invention includes a high density capacitor and an integrated circuit. The high density capacitor is connected to a ground terminal and a first node carrying a first voltage. The integrated circuit includes a band gap circuit, a first detecting unit, a voltage divider, a second detecting unit and at least one low dropout voltage regulator. The band gap circuit generates a band gap voltage according to the first voltage. The first detecting unit measures the first voltage and determines whether to apply an input charging voltage to the high density capacitor. The voltage divider is connected in parallel with the high density capacitor and has a second node carrying a second voltage. The second detecting unit measures the second voltage according to the band gap voltage and determines whether to connect a third node to the first node.

Abstract: A comprehensive system to enhance the aesthetic quality of the photographs captured by mobile consumers provides on-site composition and aesthetics feedback through retrieved examples. Composition feedback is qualitative in nature and responds by retrieving highly aesthetic exemplar images from the corpus which are similar in content and composition to the snapshot. Color combination feedback provides confidence on the snapshot to contain good color combinations. Overall aesthetics feedback predicts the aesthetic ratings for both color and monochromatic images. An algorithm is used to provide ratings for color images, while new features and a new model are developed to treat monochromatic images. This system was designed keeping the next generation photography needs in mind and is the first of its kind. The feedback rendered is guiding and intuitive in nature. It is computed in situ while requiring minimal input from the user.

Abstract: The structures and methods of reading out semiconductor Non-Volatile Memory (NVM) using referencing cells are disclosed. The new invented scheme can reduce large current consumption from the direct current biasing in the conventional scheme and achieve a high resolution on the cell threshold voltage with a good sensing speed.

Abstract: A method for erasing a flash EEPROM memory device is disclosed. The memory device has a first semiconductor region of one conductivity type formed within a second semiconductor region of an opposite conductivity type, source and drain regions formed from a semiconductor layer of the opposite conductivity type in the first semiconductor region, a well electrode formed from a semiconductor layer of the conductivity type inside the first semiconductor region, a charge storing layer electrically isolated from the first semiconductor region by a dielectric layer and having electric charge retention properties, and a control gate electrode electrically isolated from the charge storing layer by a inter layer of coupling dielectrics.

Abstract: A method for erasing a flash EEPROM memory device is disclosed. The memory device has a first semiconductor region of one conductivity type formed within a second semiconductor region of an opposite conductivity type, source and drain regions formed from a semiconductor layer of the opposite conductivity type in the first semiconductor region, a well electrode formed from a semiconductor layer of the conductivity type inside the first semiconductor region, a charge storing layer electrically isolated from the first semiconductor region by a dielectric layer and having electric charge retention properties, and a control gate electrode electrically isolated from the charge storing layer by a inter layer of coupling dielectrics.

Abstract: The structures and methods of reading out semiconductor Non-Volatile Memory (NVM) using referencing cells are disclosed. The new invented scheme can reduce large current consumption from the direct current biasing in the conventional scheme and achieve a high resolution on the cell threshold voltage with a good sensing speed.

Abstract: A method of trimming FET NVM cells in Multi-Level-Cell (MLC) operation is provided. The method comprises (a) applying a first voltage and a second voltage to a control gate and a bulk of the over-programmed FET NVM cell, respectively; and (b) applying a signal to a drain of the over-programmed FET NVM cell for a time period to produce a limited threshold voltage reduction; wherein polarities of the first voltage and the second voltage are opposite to that of the signal. Thus, the charge placement in the storing material could be precisely controlled within a small range of charge state and produce a multi-bits/cell of higher digital storage density.

Abstract: The present invention relates to a compound of the following formula: or a pharmaceutically acceptable salt thereof; where R1-R5, Y, m, n, and p are defined herein. Compounds and compositions of the present invention are useful the treatment of atherosclerosis.