Asian Journal of Convergence in Technology
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    868 research outputs found

    Walsh Hadamard Transform: A new approach for PAPR reduction in OFDM

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    OFDM and MC-CDMA are multicarriercommunication techniques which are used in bothwired and wireless communication. OFDM is thetime domain signal which is a sum of severalsinusoids and due to this sinusoids Peak to AveragePower Ratio (PAPR) of OFDM signal increases. Due to this transmission is not effective so PAPR is major drawback of OFDM. There are several PAPR reduction techniques but, pre-coding techniques shows better result. This paper represents anew pre-coding technique-Walsh Hadamard Transform (WHT). From the obtained results we can conclude that WHT is attractive solution to PAPR problems of OFDM signals as compared to other pre-coding techniques

    Pattern Identification Using Text Mining

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    Text mining, also referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interestingness. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, analysis, document, and entity relation modeling (i.e., learning relations between named entities). Text analysis involves information retrieval, lexical analysis to study word frequency distributions, pattern recognition, tagging/annotation, information extraction, mining techniques including link and association analysis, visualization and predictive analytics. The overarching goal is, essentially, to turn text into data for analysis, via application of natural language processing (NLP) and analytical methods

    Survey on Hand Gesture Recognition Technology

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    Interfacing with computer using Hand gestures based human computer interaction (HCI) is a very user friendly, most intuitive and natural way to interact. Hand gesture has been used since very old time not only by physically challenged people but normal people to communicate effectively. Gesture based interfaces promises to increase the efficiency and simplicity to interact with system. Gesture commonly originates from face or hand that includes emotion recognition from faces and hand gesture recognition. This paper includes journey of hand recognition based system and the methods used to implement those systems like glove-based and depth-based recognition. In the end we discuss the application prospective of hand gesture recognition

    Solar Based Refrigeration and air Conditioning By Ejector Based and LDAC Approach: A Review

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    The environmental benefits of New and Renewable energy sources have evolved very few devices which are functioning without producing pollutions. Usually while utilizing the solar application day timing is constraint. The need of refrigeration and air conditioning increases with increase in the intensity of sun. This advantage depicts importance of development of ejector based air conditioning and Liquid desiccant air conditioning. The power consuming device i.e. compressor in traditional VCR is replaced by ejector assembly in Ejector Based Air Conditioning. The Liquid Desiccant Air Conditioning can be used for cooling in summer and heating in winter

    Role of Big Data in Make in India Smart city and in manufacturing products

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    —Big Data is the buzzword in the field of technology for some time now. The demand for Big Data Technology is now felt by each and every organization of the world. The benefits of Big Data are immense. It is a study of role Big Data can play in Make in India smart city project. The make in India smart is about manufacturing products in India. The Big Data can revolutionize smartly the entire process of manufacturing. Not only it can decrease manufacturing cost losses but can also help companies achieve customer satisfaction so customer enjoy the living in smart city. From better streamlining of processes in a manufacturing unit to helping create a better working environment, big data has brought a wave of change that cannot be ignored. Further, the Make in India smart city not only brings a lot of investment but a lot of jobs too in India and we really are in need of a technology to manage the large amount of data generated. By use of Big data companies can implement better production techniques and thus can get an edge over their competitors. This study aims to help companies in India and abroad to understand the benefits of Big Data in Manufacturing their products smartly. It may also help companies who have already implemented Big Data but are not taking full advantage of it

    Characterization of Non-linear HRV Parameters among Women by Poincare Analysis

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    Heart rate variability (HRV) is the natural rise and fall of beat-to-beat heart rate as controlled by the autonomic nervous system (ANS) which, in turn, is affected by various physiological factors e.g. breathing, blood pressure, hormones, emotions, and many others. The research work reported in this paper concentrates on characterization of non-linear measures of HRV in females of different hormonal status and from different demographic regions. A total of 141 women subjects (39.97±14.18) belonging to 4 groups i.e. Reproductive and Post-Menopausal age groups from both the Plane and Hill region of West Bengal were studied for short term HRV. Based on the observations, it may be concluded that the hormonal status is properly reflected in non-linear parameters of HRV irrespective of life style and/or demographic variations

    Optimization of riser neck for aluminium casting by using simulation tool

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    The Gating and riser system design play very important role for improving casting yield. These defects can be reduced by making suitable changes in feeding constraints, such as feeder location, size, shape etc. and also by making some changes in feeder neck dimension. By choosing the correct set of parameters we may lead to the desired quality and yield, but difficult to achieve it. This is the reason that a need has arisen for computer aided casting simulation tool coupled with solidification simulation to reduce the number of shop floor trials and obtain enhanced yield and high quality, in minimal possible time. In this paper an auto industry part model is considered to study the solidification behaviour of aluminium alloy A356 along with detection of hot spots in castings with the help of AutoCAST XI simulation software and the effect of neck height on casting yield is also being studied

    Robust Embedding of Patient ID in Medical Images for Telemedicine Applications

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    Most of the researchers have been researching algorithm to insert high information in the original medical image but increasing the size of embedded information affects the quality of watermarked medical image severely. This paper presents a new robust image barcode watermarking scheme for medical images that embeds human readable bar-coded watermark image which is generated from corresponding unique patient identification number (PID). Here only PID barcode image is embedded in a medical image for telemedicine applications instead of embedding whole Electronic Patient Record (EPR) data. Further, the presence of PID barcode watermark can be identified with or without manual intervention. A PID sequence watermark is represented as barcoded binary logo image and embedded in the corresponding medical image. This in turn authenticates corresponding medical images and also helps in faster retrieval of whole patient data from the centrally managed hospital database. The proposed scheme first extracts the energy of DCT blocks from the host image and based on these energy values, the blocks are then classified into two clusters named High Energy Blocks (HEBs) and Low Energy Blocks (LEBs) using KMeans clustering technique. To achieve imperceptibility, the watermark bits are embedded only in HEBs leaving LEBs intact. By using the desirable characteristics of proposed technique, the imperceptibility requirements of watermarks are fulfilled along with increased robustness. Experimental results show that the proposed scheme is robust against common attacks and offers both objective as well as subjective watermark detection. The revealed watermark can be easily recognized by human eyes, even if the host image has undergone severe attacks. Due to inherent error detecting capability of the barcode watermark image, the watermark can be fully recovered against various kinds of attacks

    Analysis and Comparison of Methods to Reduce Leakage Power and Latency to Improve Performance of VLSI Circuits

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    Power dissipation in one of the major concerns of VLSI circuit designers with the launch of battery held devices and applications, power consumption in the circuit also increased exponentially. Leakage current became an overriding factor in nanometer CMOS design technologies. This paper provides a comprehensive study, analysis and comparison of leakage power reduction technique such as zigzag approach, multi threshold approach, sleepy stack, dual sleep, transistor gating etc.. All the above methods are tested and analyzed using microwind EDA tool

    Denoising ECG Signal: A Review

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    —Heart disease is one of the major problems that needs to be addressed using the latest methods of signal processing. Different measuring parameters are used to identify heart disease. Electrocardiogram (ECG) plays an important role in diagnosis of heart disease. Practically it is not possible to acquire ECG signal without noise. For analysis and interpretation of ECG signal, it is very important to diagnose this signal. In this paper, different kinds of noise present in the ECG signal are illustrated, and several techniques for their removal are discussed

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    Asian Journal of Convergence in Technology
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