Abstract: The present disclosure relates to a system and method for compressing a dataset. The dataset can be divided in to a plurality of groups. Each group can be converted independently into corresponding text file using dictionary coding technique. The corresponding text files can be compressed independently into corresponding compressed files. Finally, all the corresponding compressed files can be combined together to generate a complete compressed data.

Abstract: Provided herein is an apparatus for automated monitoring of facial images. The apparatus includes a cabinet having at least one video capturing device for continuously capturing video. The apparatus also includes means for analyzing frames to identify human facial images and for cropping facial images with data and time information, if detected, and at least one means for instantaneously transmitting the cropped facial images with date and time to at least one predefined storage unit operating in an unattended mode. The predefined storage unit is operatively connected to the cabinet. The apparatus can be configured for headless startup by means of an in built application software. A process for automated monitoring of facial images for surveillance purposes in a monitoring apparatus is also provided.

Abstract: Embodiments of the present disclosure disclose an estimation device for the estimation of Sound Recognition Score. The device estimates a Sound Recognition Score (SRS), to determine the hearing ability of that subject. The device also ascertains the performance of an Augmented Listening Device (ALD). The device comprises a memory unit, in which one or more audio signals and ambient noise signals are stored. The estimation device selects audio signal from the memory unit based on one or more parameters. Further, the device modulates the audio signals with the ambient noise signals and transmits the modulated audio signal to the ALD. Also, the device receives response for the transmitted signals from the ALD and estimates the responses based on the aggregate of values of the read flag data and response flag data. The estimated signal is displayed using a display unit as Sound Recognition Score.

Abstract: The present disclosure relates to system(s) and method(s) for compression and decompression of Unicode characters. The system is configured to maintain a set of character tables and a cluster table in a memory. Each character table is configured to store a set of Unicode characters corresponding to a character class of a set of characters classes, wherein each Unicode character from the character table is assigned with a shortened bit representation. Furthermore, the cluster table may be configured to maintain a set of cluster types and a cluster identifier corresponding to each of the cluster type. The system is configured to compress text data in Unicode format using the set of character tables and the cluster table by identifying the different clusters in each word and replacing the clusters with cluster identifier followed by the shorten bit representation of characters in each cluster.

Abstract: Diagnostic classifications of pulse signal waveform data is provided. In one example, diagnosis or prediction of a disease may be performed by analyzing pulse signal waveform data, and comparing aspects of the pulse signal waveform data with a morphology pattern that has been found to indicate a subject is suffering from a specific disease. A pulse signal can be captured via wrist electrodes using bio-electric sensors based on an impedance plethysmographic principle, for example, and processed using feature extraction for diagnosis and assessment of the subject's proneness to a disease. Analysis of the pulse signal and pulse morphology patterns provides an in-vitro, non-invasive, and low-cost method for diagnosing diseases.

Abstract: Diagnostic classifications of pulse signal waveform data is provided. In one example, diagnosis or prediction of a disease may be performed by analyzing pulse signal waveform data, and comparing aspects of the pulse signal waveform data with a morphology pattern that has been found to indicate a subject is suffering from a specific disease. A pulse signal can be captured via wrist electrodes using bio-electric sensors based on an impedance plethysmographic principle, for example, and processed using feature extraction for diagnosis and assessment of the subject's proneness to a disease. Analysis of the pulse signal and pulse morphology patterns provides an in-vitro, non-invasive, and low-cost method for diagnosing diseases.

Abstract: A method for strategy independent optimization of a multi-objective function of a portfolio containing at least one investment is disclosed. The method involves the use of genetic algorithms to arrive at function optimization. A suite of strategies is provided enabling the user to select a strategy and optimize a function. Real world data is drawn from exchanges and is utilized for replication. The invention also discloses a novel combination of apparatus for carrying out the method of invention, typically, using parallel processing.