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Design of an environmental information system for monitoring water and air quality in urban areas

Disaster Prevention and Management: An International Journal 2005年第3期14卷 326-342页

作者： Patra, B. Pradhan, B. Center for Development of Advanced Computing (CDAC) Pune University Pune India Faculty of Engineering and Computer Technology Asian Institute of Medicine Science and Technology (AIMST) Kedah Darul Aman Malaysia

Purpose – Over the past 50 years India has been experiencing rapid population growth, causing the migration of a large part of the population to the cities looking for livelihood. This resulted in massive increments of population in the cities that has led to the increase of pollution. Gujarat, being a highly industrialized state, is a case in point. The systems for treatment and water disposal of this state are highly challenged. The northwestern state of Gujarat has no effective systems for treatment or disposal of waste water. The purpose of this article is to address this problem, introducing a geographic information system (GIS) approach to record the characterization, analyze the needs and generate a conceptual GIS database in the state. Design/methodology/approach – This paper outlines the background, suggested methodology for the development of a GIS database pollution dependent control of water pollution in the state of Gujarat in India. The present research is to install a document management system that has been developed in providing organizing chart, sorting, querying and retrieving of key data. A computerized laboratory information system on monitoring of quality of ambient air has been developed. Findings – An integrated GIS database has been generated involving creation of pollutant contours, querying and visualizing the query output in spatial and nonspatial form. Originality/value – The authors have created a complete geospatial database for the environmental monitoring for the whole state of Gujarat. They have dealt with nearly 36,000 different files from different sources and put them together to create the database. A computerized laboratory information system on monitoring of quality of ambient air has been developed. Frontend application programs have been developed in Visual Basic and the backend database to integrate the laboratory data and the existing data in oracle database. © 2005, Emerald Group Publishing Limited

关键词： Geographic information systems India Pollution control

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Dynaldroid: A system for automated dynamic analysis of Android applications

Dynaldroid: A system for automated dynamic analysis of Andro...

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National Conference on Recent Advances in Electronics & Computer Engineering (RAECE)

作者： K.P Reddy Babu Rajesh V Himanshu Pareek Mahesh U Patil Center for Development of Advanced Computing (CDAC) Hyderabad India

ISBN: (纸本)9781509021772

Android is an extensively used mobile platform and with evolution it has also witnessed an increased influx of malicious applications in its market place. Availability of multiple sources for downloading applications has aided the malware developers by increasing the consumer base for their applications. This has caused users falling victim to malicious applications. A major hindrance in blocking the entry of malicious applications into the Android market place is scarcity of effective mechanisms to detect malicious applications. Static analysis of an Android application gives a good idea as to what the application is capable of, but it's effectiveness decreases if the application is obfuscated. Dynamic analysis of an Android application shows the true behavior of the application during execution. Thus dynamic analysis is more useful in uncovering the threats that the user has from an application. The contribution of this work includes automation of Android application execution on an emulator to facilitate dynamic analysis of the application. Based on information collected during dynamic analysis of malware samples, we derived a set of patterns which indicate the occurrence of malicious activity. These patterns allowed us to develop `Dynanlroid', a dynamic analysis tool for detecting a set of malicious actions performed by Android applications. The network activity carried out by the application is also analyzed by the Dynaldroid.

关键词： Cryptography Androids Humanoid robots Layout Semantics Performance evaluation

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Vision Based Detection and Classification of Disease on Rice Crops Using Convolutional Neural Network

Vision Based Detection and Classification of Disease on Rice...

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2019 International Conference on Cutting-Edge Technologies in Engineering, ICon-CuTE 2019

作者： Verma, Gaurav Taluja, Charu Saxena, Abhishek Kumar Center for development of Advanced Computing Academic Consultancy Services Division Mohali India Shri Ramswaroop Memorial University Department of Electronics and Communication Engineering Barabanki India

ISBN: (纸本)9781728100005

This paper presents a combination of K-mean s clustering, SVM and CNN based classification techniques for the crop disease / infection with target as Rice crop. Agricultural crops show variation in features of healthy crops in color, texture and growth. Manual inspection and monitoring of crops is incompatible for large farm sizes so aerial monitoring or camera imaging can prove to be helpful for agriculturists in pre-determination of crop diseases. The use of image processing algorithms involving K-means clustering, Support vector machine and Convolutional Neural Networks enables classification process. The supervised classification techniques involve prior training process which determines the accuracy. The training dataset involved initially with 10 image set which was increased to over 50 to obtain accuracy over 95 percent. © 2019 IEEE.

关键词： K-means clustering

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Loop partitioning unimodular transformations for distributed memory multiprocessors

Loop partitioning unimodular transformations for distributed...

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International Symposium on Parallel Processing

作者： D. Kulkarni K.G. Kumar A. Basu A. Paulraj Center for Development of Advanced Computing Bangalore Karnataka India

Presents a unimodular transformation called rotation to partition the iteration space of a perfectly nested loop. The transformation captures the individual transformations like loop interchange, reversal, and skewing in a uniform framework. Though the transformation is for any architecture, the authors have specifically addressed its application to distributed memory machines in this paper. The authors prove that the transformation is free from deadlocks. They finally describe the choice of an optimal rotation based on the parallelism factor, load imbalance and the volume of communication in the transformed space.< >

关键词： Parallel processing Distributed computing System recovery Shape

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Overview of Neural Machine Translation for English-Hindi

Overview of Neural Machine Translation for English-Hindi

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International Conference on Issues and Challenges in Intelligent computing Techniques (ICICT)

作者： Shashi Pal Singh Hemant Darbari Ajai Kumar Shikha Jain Anu Lohan AAIG Center for development of Advanced Computing Pune India

Artificial intelligence is getting shrewd in real time with massive amounts of computational power and high in demand in last quarter more than billion dollars. The Intensification of Neural Networks in Machine learning playing major revolution in Machine Translation (MT). Looking same aspect, we have prepared a paper on Machine Translation for Hindi using Neural Machine Translation techniques. The Basis of this paper is to translate the source language into target language with the help of sentence structure for source language (English sentence) and corresponding reordering rules for target language (Hindi sentence) using a deep neural network (DNN).When the source input that is English sentences are exactly matched with the target language database then the suitable translation for related input is directly fetched from the database. The fuzzy matching between the input sentence and the sample sentence in the database is done with cosine similarity between the sentence structure of input sentence and the sample sentence and then the reordering rule of the most alike sentence to the input sentence is used for *** the structure of the source language sentence and extracting the reordering rule for target sentence is the core part of the translator. Reordering of words in spite of that remains one of the complex *** is exciting to implement Deep Neural Network and fuzzy logic to build intelligent reordering rules machine learning system.

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Simultaneous gene selection and cancer classification using a hybrid intelligent water drop approach

Simultaneous gene selection and cancer classification using ...

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5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013

作者： Kumar, Manish Ghosh, Shameek Valadi, Jayaraman Siarry, Patrick Bioinformatics Center University of Pune Pune India Centre for Development of Advanced Computing Pune India Shiv Nadar University Uttar Pradesh - 203207 India France

ISBN: (纸本)9783642450617

Computational Analysis of gene expression data is extremely difficult, due to the existence of a huge number of genes and less number of samples (limited number of patients). Thus,it is of significant importance to provide a subset of the most informative genesto a learning algorithm, for constructing robust prediction models. In this study, we propose a hybrid Intelligent Water Drop (IWD) - Support Vector Machines (SVM) algorithm, with weighted gene ranking as a heuristic, for simultaneous gene subset selection and cancer prediction. Our results, evaluated on three cancer datasets, demonstrate that the genes selected by the IWD technique yield classification accuracies comparable to previously reported algorithms. © Springer-Verlag 2013.

关键词： Gene expression

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Hybrid POS Classification Using Long Short Term Memory

Hybrid POS Classification Using Long Short Term Memory

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IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology

作者： Shashi Pal Singh Ajai Kumar Anu Lohan Jigyasa Chaudhary Pragya Daksh AAIG Center for development of Advanced Computing Banasthali Vidyapith

ISBN: (数字)9781538624401

ISBN: (纸本)9781538624418

A Part of Speech classifier is an important tool that is used to develop many NLP tasks. In this paper we described Deep Neural Network based architecture, that given a sentence, outputs a part-of-speech tag sequence. For Part of Speech classification, we trained a LSTM network by semi-supervised learning. We further applied a probabilistic approach to improve Part of Speech prediction of the LSTM network. Word2vec deep learning tool is used for learning high-quality distributed vector representations of words that capture a large number of precise word relationships. By using a small amount of labeled dataset of words and applying cosine similarity we assign Part of Speech tags to words. If some words don't show nearness to any word in labeled dataset, then we apply probabilistic approach for classification of unclassified words of input sentence. This hybrid neural Part of Speech classifier is evaluated over a corpus of 1000 sentences having a total of 7,400 words;part of speech classification system achieved the accuracy of 94.71%.

关键词： Natural language processing (NLP) Machine learning Long short-Term memory (LSTM) Cosine similarity Stemming Part of speech (POS) Stemming Word Speech Taxonomy Short-Term Memory vector representation Machine Learning Artificial Intelligence Semi-supervised Learning

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Analysis of job execution reliability in a grid through job accounting tool

Analysis of job execution reliability in a grid through job ...

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International Conference on Data Science & Engineering (ICDSE)

作者： Jibin Sunny M G Divya Subrata Chattopadhyay Center for Development of Advanced Computing (CDAC) Bangalore India

Computational grid and high performance computing resources are widely used by researchers and academicians for research activities. Stable and reliable computational resource is essential. In order to achieve this apart from monitoring network health, service health etc knowing job statistics also equally important, hence Job Accounting Tool(JAT) is designed for this functionality. JAT is a Web based tool which is designed to capture job statistics from grid metascheduler-gridway and local resource manager-portable batch system. Job statistics includes done, failed and killed jobs along with other parameters like wall time, exit status, user name etc. The major objective of this tool is to identify and analyze reasons for job failure. It is deployed and functioning at national grid computing initiative GARUDA. Various job statistics and job failure analysis are demonstrated in this paper.

关键词： Monitoring Failure analysis Reliability Databases Grid computing Object recognition Magnetic heads

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Design Architecture of Glacier Lake Outburst Flood (GLOF) Early Warning System Using Ultrasonic Sensors

Design Architecture of Glacier Lake Outburst Flood (GLOF) Ea...

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IEEE Recent Advances in Intelligent Computational Systems (RAICS)

作者： Binay Kumar Anish Sathyan T S Murugesh Prabhu Arun Krishnan K Center for Development of Advanced Computing (C-DAC) India

ISBN: (数字)9781728190525

ISBN: (纸本)9781728190532

The glaciers in the Himalayan region are nature's valuable source of fresh water and these frozen reservoirs release large amounts of ice melt water to many of the major rivers of this region. Rapid accumulation of water in the glacial lakes can lead to a sudden breach of their unstable moraine `dams'. The resultant discharges of huge amounts of water and debris - a Glacial Lake Outburst Flood (GLOF)/Flash Flood - often have catastrophic effects downstream. The Centre for development of advanced computing (C-DAC) has developed ultrasonic sensor based monitoring system, which continuously records the fluctuations in water level as well as the ice thickness which forms over the lake surface. The sensor electronics is in link with Satellite through DRT payload of INSAT-3C. This is first-of-its-kind system in the country and will be a great boon to the nation in the area of disaster forecast and management. Currently, the system is deployed at Shako Chho (4987 m above msl) and Kupup Chho (3982 m above msl) glacial lakes.

关键词： Satellites Lakes Reservoirs Acoustics Rivers Floods Monitoring

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Design and Simulation of FinFET based Temperature Sensor

Design and Simulation of FinFET based Temperature Sensor

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2019 International Conference on Cutting-Edge Technologies in Engineering, ICon-CuTE 2019

作者： Verma, Gaurav Negi, Himani Saxena, Abhishek Kumar Center for development of Advanced Computing Academic Consultancy Services Division Mohali India Shri Ramswaroop Memorial University Department of Electronics and Communication Engineering Barabanki India

ISBN: (纸本)9781728100005

In this VLSI era, integrated circuit designing has attained new trends. With the scaling technology the feature size have reached below 40nm in implementation. With such a huge component density over a small die heat dissipation analysis is important. There is a need to develop and monitor temperature for all the components over IC. The paper represents the design and simulation of FinFET based temperature sensor. The sensor is designed in Symica EDA tool using FinFET on 32nm feature and uses 1.2 volts as a supply voltage. This circuit is used for sensing the temperature and it has one PNP transistor and two FinFET and generates the complementary to absolute temperature (CTAT) voltage simulated over temperature range from -20°c to + 120°c. © 2019 IEEE.

关键词： Temperature sensors

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