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International Conference on Parallel Distributed and Grid computing (PDGC)

作者： Amritanshu Sinha Tapas Saini S. V. Srikanth Center for Development of Advanced Computing

Distributed computing is the method of running CPU intensive computations on multiple computers collectively in order to achieve a common objective. Common problems that can be solved on the distributed systems include climate/weather modeling, earthquake simulation, evolutionary computing problems and so on. These type of problems may involve billions or even trillions of computations. A single computer is not capable to finish these computations in short span of time, which is typically in days. Distributed computation helps to solve these problems in hours, which could take weeks to solve on a single computer. Distributed computing generally uses the existing resources of the organization. Traffic simulation is the process of simulating transportation systems through software on a virtual road network. Traffic simulation helps in analyzing city traffic at different time intervals of a single day. Common use cases could be analyzing city wide traffic, estimating traffic demand at a particular traffic junction and so on. This paper discusses about the approach to use distributed computing paradigm for optimizing the traffic simulations. Optimizing simulations involves running a number of traffic simulations followed by estimating the nearness of that simulation to the real available traffic data. This real data could be obtained by either manual counting at traffic junctions, or using the probes such as loop inductors, CCTV cameras etc. This distributed computing based approach works to find the best traffic simulation corresponding to the real data in hand, using evolutionary computing technique.

关键词： Computational modeling Distributed computing Computers Roads Biological cells Cities and towns Vehicles

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Bus paralleling controller with CAN interface for High Power Converter modules

Bus paralleling controller with CAN interface for High Power...

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IEEE International Conference on Sustainable Energy Technologies, ICSET

作者： R. Sudeep Kumar P. Ganesan Gautam Poddar Center of Development of Advanced Computing Center of Development of Advanced Computing Indian Institute of Technology Kharagpur India

This paper presents the development of the Controller and efficient Control algorithms for enabling modularity and bus paralleling of High Power Converters employing high speed Controller Area Network bus (CAN). Presently paralleling of Converters requires common current sensors to sense the load current, which restricts the level of redundancy of the system as well as limits the number of Converter modules which can be put in parallel. The newly developed controller can support “n” number of units since no common current sensors are involved. The Controller uses the fast space vector control with the aid of Digital Signal Processor and the fast CAN bus to meet the specific requirements. The proposed scheme operates one of the converters in the voltage control mode to regulate the load bus voltage and all other converters are operated in the current control mode. This ensures zero circulating current among the converters. The current reference for the current control mode is derived from the voltage controller and passed through CAN bus communication link. The token passing algorithm implemented in the system permits to arbitrarily switch off and switch on the systems, eliminating the master- slave concept. The system shares the active, reactive and harmonic currents equally at load side. Two 10 kVA Converters are built to validate the performance.

关键词： Voltage control Inverters Converters Power harmonic filters Current control Equations Switches

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Aging prediction of cultural heritage samples based on surface microgeometry

Aging prediction of cultural heritage samples based on surfa...

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2018 Eurographics Workshop on Graphics and Cultural Heritage, GCH 2018

作者： Ciortan, I.M. Marchioro, G. Daffara, C. Pintus, R. Gobbetti, E. Giachetti, A. Computer Science Department University of Verona Italy Visual Computing Group Center for Advanced Studies Research and Development in Sardinia Italy

ISBN: (纸本)9783038680574

A critical and challenging aspect for the study of Cultural Heritage (CH) assets is related to the characterization of the materials that compose them and to the variation of these materials with time. In this paper, we exploit a realistic dataset of artificially aged metallic samples treated with different coatings commonly used for artworks' protection in order to evaluate different approaches to extract material features from high-resolution depth maps. In particular, we estimated, on microprofilometric surface acquisitions of the samples, performed at different aging steps, standard roughness descriptors used in materials science as well as classical and recent image texture descriptors. We analyzed the ability of the features to discriminate different aging steps and performed supervised classification tests showing the feasibility of a texture-based aging analysis and the effectiveness of coatings in reducing the surfaces' change with time. © 2018 GCH 2018 - Eurographics Workshop on Graphics and Cultural Heritage. All rights reserved.

关键词： Coatings

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Intelligent Intrusion Detection System (In2DS) using Wireless Sensor Networks

Intelligent Intrusion Detection System (In2DS) using Wireles...

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IEEE International Conference on Networking, Sensing and Control

作者： P. J. Pramod S. V. Srikanth N. Vivek Mahesh U. Patil Chandra Babu N. Sarat Center for Development of Advanced Computing India Centre for Development of Advanced Computing (C-DAC) Centre for Development of Advanced Computing Pune Maharashtra IN

The continuous search for endurance has transformed the world into a place filled with electronic and digital security systems. Emerging technologies have metamorphosed the nature of surveillance and monitoring applications, but the sensory data collected using these gadgets still remains unreliable and poorly synchronized. In this paper, we detail a research project named Intelligent Intrusion Detection System (In2DS) for remote surveillance and monitoring applications which can greatly improve the existing systems in terms of energy, cost and performance. The motivation for developing In2DS stems from the fact that Wireless Sensor Networks (WSN) can provide wider sensing coverage, night & harsh weather surveillance, multi-sensor data fusion and in-network data processing thereby enhancing existing intrusion detection capabilities and improving alarm functionalities. We present preliminary results based on the field experiments conducted as part of the project and provide an in-depth analysis of Passive InfraRed (PIR) sensor detection performance.

关键词： Intelligent systems Intelligent networks Intelligent sensors Intrusion detection Wireless sensor networks Surveillance Remote monitoring Infrared sensors Infrared detectors Data security

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GARUDA: Pan-Indian distributed e-infrastructure for compute-data intensive collaborative science

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CSI Transactions on ICT 2013年第2期1卷 193-204页

作者： N. Mangala B. B. Prahlada Rao Subrata Chattopadhyay R. Sridharan N. Sarat Chandra Babu Center for Development of Advanced Computing (C-DAC) Bangalore India

GARUDA is a nation-wide grid of computational nodes, mass storage and scientific instruments with an aim to provide technological advancements required to enable compute-data intensive, collaborative applications for the twenty-first century. From a Proof-of-Concept, the GARUDA has evolved to an operational grid, aggregating nearly 70TF-15TB compute–storage power, via high-speed National Knowledge Network and hosts a stack of middleware and tools to enable hundreds of users from diverse communities like life science, earth science, computer aided engineering, material science, etc. Evolution and confluence of research and technologies has led to the maturity of GARUDA grid: there have been addition of several hundred CPUs, large data stores, standardization of grid middleware, research on interoperability between grids and participation from varied application communities that have made significant impact to GARUDA. The GARUDA partner institutes are using this e-infrastructure to grid enable applications of societal and national importance. The authors in this paper present the manner of building a nation-wide operational grid and its evolution, its deliverables, architecture and applications.

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Attendance System with Emotion Detection: A case study with CNN and OpenCV 1

Attendance System with Emotion Detection: A case study with ...

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1st International Conference on Data Science, Machine Learning and Artificial Intelligence, DSMLAI 2021

作者： Kandjimi, Herman Srivastava, Abhinav Muyingi, Hippolyte Computer Science Namibia University of Science and Technology Windhoek Namibia Artificial Intelligence Center for Development of Advanced Computing Noida India

ISBN: (纸本)9781450387637

Multinational companies (MNC) take care of employees by taking feedback, in which each day's mood counts as a trivial factor. Traditional and common methods of collecting data are manual and take up employees productive time to complete. There is a solution that can help automate this process. This study explores the implementation of Artificial Intelligence (AI) and Machine Learning (ML) models in an automated emotion and attendance system. The system is designed in such a way that companies can generate employee's mood/emotion data by facial recognition through a customized Convolutional Neural Network (CNN) model. The companies can place a camera on the entering and exit of each Block/Floor. Cameras can capture the image and provide input to OpenCV for easy integration and taking attendance. The captured image can further be used for mood detection and store in the database for each employee. The Human Resources (HR) department can track feedback from employee's facial expressions on the same day for social events, hikes, seminars, and new initiatives. © 2021 ACM.

关键词： Emotion Recognition

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A deployable architecture of intelligent transportation system - A developing country perspective

A deployable architecture of intelligent transportation syst...

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2010 IEEE International Conference on Computational Intelligence and computing Research, ICCIC 2010

作者： Padmadas, M. Nallaperumal, Krishnan Mualidharan, V. Ravikumar, P. Center for Information Technology and Engg. M.S.University Tirunelveli Tamilnadu India Center for Development of Advanced Computing Trivandrum Kerala India

ISBN: (纸本)9781424459674

Being an indicator of economic growth, the deployment of an Intelligent Transportation System(ITS) became an imperative necessity of a country, whether developed or developing. Emergence of innovative technologies in the areas of Computer Science, ICT and Digital Image Processing paved way to the implementation and the deployment of such a system in a cost effective and economic manner. Introduction of a system with minimal disturbance of the heterogeneous environment with minimum cost and time in R&D and deployment will be an important criteria in the selection of such a system for a developing country. The intelligent Transportation System can be considered to be constituted with multiple layers of integrated innovative technologies. The recent advancements in third and fourth generation wireless data communication as one of the access technologies and the deployment of high-speed secure information highway established with a national level computer backbone network in developing countries made the deployment of such a system in an efficient manner which form the physical layer of ITS. The technological layer of ITS can be formed with IP based Sophisticated intelligent Camera technologies and with the application of intelligent algorithms on advanced digital image processing techniques, which can be implemented in a multi-layer architecture and deployed in multiple stages, which will make the system robust and will be making the environment gradually standardised, without much disturbances. The standardised vehicle licence plate is the raw data of ITS, which may or may not be standardised in developing countries. The introduction of the concept of a repository of non-standardised licence plates left after the application of layered advanced digital image processing algorithms injected in ITS will enable the gradual standardisation of the environment. The advanced application programs and databases implemented in the Open- Source Technology Stream deployed in Open

关键词： Database systems

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Real Time Monitoring & Alert System for Landslide

Real Time Monitoring & Alert System for Landslide

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International Conference on Contemporary computing and Informatics

作者： Shashank Kapoor Hitesh Pahuja Balwinder Singh Centre for Development of Advanced Computing Mohali India Center for Development of Advanced Computing Mohali India

ISBN: (纸本)9781509052578

A landslide is the movement of rock, rubble or dirt down a slope. They result from the failure of the constituents which make up the mountain slope and are driven by the force of gravity. Though the landslides cannot be detected before they occur, but we can alert the general population about any catastrophe that has occurred. This would enable the people residing in the vicinity as well as the disaster management authorities to help the needy. This research focuses on alerting the general population along with the disaster management authorities in case of an occurrence of a landslide. An accelerometer is used for detecting any kind of change in the ground movement. The accelerometer can easily detect horizontal as well as angular movements. It would detect small as well as the abrupt changes in the area around the sensor. Copper plates are separated by a small distance and would trigger as soon as pressure is applied to it. These nodes are connected together with Renesas GR-Kaede processor. The data is transmitted to the server via Zigbee. The server is programmed using XAMPP and PHP which continuously monitors the incoming data from the Zigbee attached at the COM port. The server then transmits the data to the android application which is specifically designed for alerting the user as soon as a landslide is triggered. The user can thus take the adequate countermeasures required in that situation. The user would also be able to send a message or call the disaster management authorities in case of any kind of query. They would be able to interact with the authorities so that sufficient help could be provided to them.

关键词： RENASAS (GR Kaede) Zigbee module Accelerometer IoT

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Multilingual Online Handwriting Recognition System: An Android App

Multilingual Online Handwriting Recognition System: An Andro...

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International Conference on Advances in computing and Communications (ICACC)

作者： T.R. Indhu V. Vidya V.K. Bhadran Center for Development of Advanced Computing India

On-line handwriting recognition means recognizing the user's handwriting as the user is writing the character/stroke, i.e. the recognition is concurrent to the writing process. This paper describes a Multilingual Online handwriting recognition system in Android using SFAM Artificial Neural Network Technique. The app allows the user to select any of the target languages supported. The handwriting sequences are collected by the digitization of the pen/stylus movements as an array of x, y coordinates which is called a stroke. The structural and directional information are extracted from each character/stroke. The extracted features as a feature vector are passed as input to a SFAM artificial neural network (ANN) classifier. The SFAM classifier then performs a comparison of the input data with the trained data and finds the nearest prototype from the database that 'resonates' with the input pattern. The labels/recognized characters are assigned their corresponding Unicode code points and displayed using appropriate fonts.

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Person Re-Identification by Analyzing Dynamic Variations in Gait Sequences

Person Re-Identification by Analyzing Dynamic Variations in ...

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International Conference on Evolving Technologies for computing, Communication and Smart World, ETCCS 2020

作者： Bharadwaj, Sandesh V. Chanda, Kunal Indian Institute of Information Technology Design and Manufacturing Kancheepuram Chennai600127 India Center for Development of Advanced Computing Kolkata700091 India

ISBN: (纸本)9789811578038

Gait recognition is a biometric technology that identifies individuals in a video sequence by analysing their style of walking or limb movement. However, this identification is generally sensitive to appearance changes and conventional feature descriptors such as Gait Energy Image (GEI) lose some of the dynamic information in the gait sequence. Active Energy Image (AEI) focuses more on dynamic motion changes than GEI and is more suited to deal with appearance changes. We proposed a new approach, which allows recognizing people by analysing the dynamic motion variations and identifying people without using a database of predicted changes. In the proposed method, the active energy image is calculated by averaging the difference frames of the silhouette sequence and divided into multiple segments. Affine moment invariants are computed as gait features for each section. Next, matching weights are calculated based on the similarity between extracted features and those in the database. Finally, the subject is identified by the weighted combination of similarities in all segments. The CASIA-B Gait Database is used as the principal dataset for the experimental analysis. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image segmentation

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