Abstract: A binary arithmetic coding apparatus is implemented in a video encoder chip. The binary arithmetic coding apparatus outputs a code word according to a syntax element value, and includes a look-up table (LUT), a suffix generator and a combiner. The LUT outputs a first binary string according to the syntax element value. The suffix generator performs exp-Golomb binarization on the syntax element value to generate a second binary string. When the syntax element value is smaller than or equal to a threshold, the first binary string is outputted as the code word. When the syntax element value is greater than the threshold, the combiner combines the first binary string and the second binary string to form the code word.

Abstract: A method of determining a remediation action includes detecting an acoustic event in a vehicle, detecting an environmental condition in the vehicle, detecting a respiratory disease symptom of a passenger in the vehicle based on the detected acoustic event, correlating the detected respiratory disease symptom with the environmental condition in the vehicle, and determining a remediation action for the detected respiratory disease symptom.

Abstract: A method for scheduling MapReduce tasks includes receiving a set of task statistics corresponding to task execution within a MapReduce job, estimating a completion time for a set of tasks to be executed to provide an estimated completion time, calculating a soft decision point based on a convergence of a workload distribution corresponding to a set of executed tasks, calculating a hard decision point based on the estimated completion time for the set of tasks to be executed, determining a selected decision point based on the soft decision point and the hard decision point, and scheduling upcoming tasks for execution based on the selected decision point. The method may also include estimating a map task completion time and estimating a shuffle operation completion time. A computer program product and computer system corresponding to the method are also disclosed.

Abstract: A method for decoding audio/video data in an Audio Video coding Standard (AVS) system is provided. A predetermined upper limit of an offset shift, greater than zero and smaller than an upper limit of a range shift, is provided. Whether to terminate an offset pre-fetching process is determined according to whether an offset shift reaches the upper limit of the offset shift. After offset shift pre-fetching process is terminated, a most significant bit (MSB) of a valid offset is preserved. The preserved valid MSB of the valid offset is used as a reference when a symbol to be decoded is determined to be a most probable symbol or a least probable symbol.

Abstract: A memory managing method for a cache including multiple storage regions is provided. Each of the storage regions includes multiple cache lines, and corresponds to multiple image blocks included in an original image frame. In response to a request for storing compressed data of an image block into the cache, a target storage region corresponding to the image block is selected from the multiple storage regions. A target applied sequence of the cache lines for the image block is determined. The compressed data of the image block is stored into the target storage region in a way that the compressed data of the image block is stored in the target storage region as conformed to the target applied sequence of the cache lines.

Abstract: A method for scheduling MapReduce tasks includes receiving a set of task statistics corresponding to task execution within a MapReduce job, estimating a completion time for a set of tasks to be executed to provide an estimated completion time, calculating a soft decision point based on a convergence of a workload distribution corresponding to a set of executed tasks, calculating a hard decision point based on the estimated completion time for the set of tasks to be executed, determining a selected decision point based on the soft decision point and the hard decision point, and scheduling upcoming tasks for execution based on the selected decision point. The method may also include estimating a map task completion time and estimating a shuffle operation completion time. A computer program product and computer system corresponding to the method are also disclosed.

Abstract: A computer-implemented method for data leakage protection is disclosed. A monitoring template corresponding to the cloud application is selected based upon communication between a user and a cloud application and from a plurality of monitoring templates. A monitor is generated using the selected monitoring template. Identifying information of content shared between the user and the cloud application is obtained using the generated monitor. Data about the shared content for security analysis is obtained according to the identifying information of the shared content.

Abstract: A method for scheduling MapReduce tasks includes receiving a set of task statistics corresponding to task execution within a MapReduce job, estimating a completion time for a set of tasks to be executed to provide an estimated completion time, calculating a soft decision point based on a convergence of a workload distribution corresponding to a set of executed tasks, calculating a hard decision point based on the estimated completion time for the set of tasks to be executed, determining a selected decision point based on the soft decision point and the hard decision point, and scheduling upcoming tasks for execution based on the selected decision point. The method may also include estimating a map task completion time and estimating a shuffle operation completion time. A computer program product and computer system corresponding to the method are also disclosed.

Abstract: A signal processing system for motion pictures includes a signal processing module, a cache, an analysis module and a control module. The signal processing module performs a signal processing process on motion picture data. The cache temporarily stores a set of reference data that is required for processing the motion picture during the signal processing process. The analysis module generates cache miss analysis information associated with the signal processing process and the cache. The control module determines an index content configuration of the cache according to the cache miss analysis information.

Abstract: A bit rate controlling method applied to a video encoding device includes: establishing a parameter table according to a first frame-level parameter corresponding to a first frame, and storing the parameter table to a look-up table (LUT) unit of the video encoding device; reading the parameter table stored in the LUT unit to obtain at least one encoding parameter corresponding to an encoding block in the first frame according to the parameter table and a target parameter of the encoding block; and encoding the encoding block of the first frame according to the at least one encoding parameter.

Abstract: A method for optimizing migration efficiency of a data file over network is provided. Specifically, a total time of compression time of the data file, transfer time of the data file over the network, and decompression time of the data file, is minimized by adaptively selecting compression methods to compress each data block of the data file. For selecting a compression method for a data block, information entropy of the data block is analyzed, and a real status of computing and system resources is considered. Further, trade-off among the resource usage, compassion speed and compression ratio is made to calculate an optimized transmission solution over the network for each data block of the data file.

Abstract: A television managing apparatus cooperating with a remote controller includes a receiver and a controller. The receiver receives an instruction sent from the remote controller. The controller actives a performance optimization process in response to each latest instruction that the receiver receives.

Abstract: A computer-implemented method for data leakage protection is disclosed. A monitoring template corresponding to the cloud application is selected based upon communication between a user and a cloud application and from a plurality of monitoring templates. A monitor is generated using the selected monitoring template. Identifying information of content shared between the user and the cloud application is obtained using the generated monitor. Data about the shared content for security analysis is obtained according to the identifying information of the shared content.

Abstract: A stream decoding method is provided. The stream includes a plurality of frames. The method includes: obtaining a display order of a current frame that belongs to a group by parsing a header of the current frame; and determining whether to decode the current frame or to drop instead of decoding the current frame according to the display order of the current frame.

Abstract: A method for scheduling MapReduce tasks includes receiving a set of task statistics corresponding to task execution within a MapReduce job, estimating a completion time for a set of tasks to be executed to provide an estimated completion time, calculating a soft decision point based on a convergence of a workload distribution corresponding to a set of executed tasks, calculating a hard decision point based on the estimated completion time for the set of tasks to be executed, determining a selected decision point based on the soft decision point and the hard decision point, and scheduling upcoming tasks for execution based on the selected decision point. The method may also include estimating a map task completion time and estimating a shuffle operation completion time. A computer program product and computer system corresponding to the method are also disclosed.

Abstract: A method for evaluating fraudulent data in a Usage Based Insurance (UBI) system, includes retrieving trip data for a driver from a database. A processor on a computer determines tough context incidents in the trip data. Driving behavior of the driver during said tough context incidents is compared with driving behavior of other drivers during similar tough context incidents. The trip data is identified as potentially fraudulent if the driver's driving behavior is better by a predetermined amount compared to the other drivers' driving behavior.

Abstract: A method includes retrieving, from a memory accessible by a computer, a document comprising a workload definition document that defines an intended virtual configuration to include at least one virtual machine and at least one network appliance to be associated with at least one of the virtual machines in the intended virtual configuration, each network appliance respectively serving a role in the intended virtual configuration of transforming, inspecting, filtering, or otherwise manipulating all the network traffic, before it reaches an intended virtual machine, for purpose other than a data packet forwarding in a virtual configuration. The workload definition document is parsed to extract attributes of each of the network appliances, including one or more security policy to be applied to each network appliance. Configuration data is extracted from the parsed workload definition document that is related to any security policy of any of the network appliances to be deployed.

Abstract: A method includes retrieving, from a memory accessible by a computer, a document comprising a workload definition document that defines an intended virtual configuration to include at least one virtual machine and at least one network appliance to be associated with at least one of the virtual machines in the intended virtual configuration, each network appliance respectively serving a role in the intended virtual configuration of transforming, inspecting, filtering, or otherwise manipulating all the network traffic, before it reaches an intended virtual machine, for purpose other than a data packet forwarding in a virtual configuration. The workload definition document is parsed to extract attributes of each of the network appliances, including one or more security policy to be applied to each network appliance. Configuration data is extracted from the parsed workload definition document that is related to any security policy of any of the network appliances to be deployed.

Abstract: A method for scheduling MapReduce tasks includes receiving a set of task statistics corresponding to task execution within a MapReduce job, estimating a completion time for a set of tasks to be executed to provide an estimated completion time, calculating a soft decision point based on a convergence of a workload distribution corresponding to a set of executed tasks, calculating a hard decision point based on the estimated completion time for the set of tasks to be executed, determining a selected decision point based on the soft decision point and the hard decision point, and scheduling upcoming tasks for execution based on the selected decision point. The method may also include estimating a map task completion time and estimating a shuffle operation completion time. A computer program product and computer system corresponding to the method are also disclosed.

Abstract: A method for scheduling MapReduce tasks includes receiving a set of task statistics corresponding to task execution within a MapReduce job, estimating a completion time for a set of tasks to be executed to provide an estimated completion time, calculating a soft decision point based on a convergence of a workload distribution corresponding to a set of executed tasks, calculating a hard decision point based on the estimated completion time for the set of tasks to be executed, determining a selected decision point based on the soft decision point and the hard decision point, and scheduling upcoming tasks for execution based on the selected decision point. The method may also include estimating a map task completion time and estimating a shuffle operation completion time. A computer program product and computer system corresponding to the method are also disclosed.