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International Conference on Information Systems for Indian Languages, ICISIL 2011

作者： Ravindra Kumar, R. Sulochana, K.G. Indhu, T.R. Centre for Development of Advanced Computing Vellayambalam Trivandrum Kerala India

ISBN: (纸本)9783642194023

Online handwriting recognition refers to machine recognition of handwriting captured in the form of pen trajectories. This paper describes a trainable online handwriting recognition system for Malayalam using elastic matching technique. Each character/stroke is subjected to a feature extraction procedure. The extracted features forms input to a nearest neighborhood classifier which returns the label having the minimum distance. The recognized characters are assigned their corresponding Unicode code points and are displayed using appropriate fonts. With a database containing 8389 handwritten samples, we get an average word recognition rate of 82%. © 2011 Springer-Verlag.

关键词： Feature extraction

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A Framework for Browser Forensics in Live Windows Systems 8

A Framework for Browser Forensics in Live Windows Systems

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8th IEEE International Conference on Computational Intelligence and computing Research, ICCIC 2017

作者： Dija, S. Indu, S. Sajeena, A. Vidhya, J.A. C-DAC Centre for Development of Advanced Computing Thiruvananthapuram India

ISBN: (纸本)9781509066209

Live Forensics is the process of collecting forensically sound evidence from a running computer system. In cyber forensics, live forensics is very important which is to be done in order to collect volatile information. Live Forensics is done if the computer is in the running mode at the scene of crime because these information will be lost forever once the system is switched off. Also, this is the preferred option for forensically analyzing mission critical dedicated servers. During Live Forensics, it should be ensured that only relevant data is acquired from the Suspect's hard disk. This is done to minimize the tampering made in the Original Evidence. Browser files contain important information related to Suspects' Internet activities and hence its analysis is indispensable in both offline and live forensic analysis. Here, a framework which can do both the acquisition and analysis of Browser Files is discussed. The acquisition tool in the framework is capable of forensically retrieving the browser files from the Suspect's machine. The analysis tool analyzes the browser files acquired to find forensically relevant information related to Internet Activities. Browser Forensics of commonly used web browsers is described in the paper. This framework enables the investigators to find out crucial hints regarding the crime. This may help in proving whether the Internet activities related to the reported cybercrime had happened in the Suspect's machine. © 2017 IEEE.

关键词： Crime

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Implementing Delta Checks for Laboratory Investigations Module of Hospital Management Systems

Implementing Delta Checks for Laboratory Investigations Modu...

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

作者： Kumar, Ashutosh Soman, Sumit Ranjan, Priyesh Centre for Development of Advanced Computing NoidaUttar Pradesh India

ISBN: (纸本)9789811578038

The laboratory investigations module is a core component of the Hospital Management Information System (HMIS) which deals with the management of patient’s laboratory tests and results. This module is also crucial for patient health care as the results of investigations are an important source of data for evaluating the patient’s treatment plan. Errors in investigation results can led to misdiagnosis or erroneous treatment being administered to the patient;hence, this module requires mechanisms to detect such errors and generate alerts. Due to high patient loads and high volume of investigations being performed at large hospitals, such mechanisms need to be implemented in electronic health record (EHR) systems. This paper presents the implementation and evaluation of the delta check for quality control in laboratory investigations that has been deployed for a tertiary care hospital in India. The paper presents the proposed mechanism and the process of its integration in an operational HMIS, as well as an analysis of the implementation of this mechanism. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Quality control

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A Web 3.0 Integrated Blockchain Enabled Access System Augmented by Meta-Heuristic Cognitive Learning Framework for Mitigating Threats in IoT Enabled Consumer Electronic Devices

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IEEE Transactions on Consumer Electronics 2025年

作者： Aruna, Etikala Sahayadhas, Arun Kalpana, Ponugoti Khan, Surbhi B. Quasim, Tabrez Almusharrf, Ahlam VELS Institute of Science Technology and Advanced Studies Department of Computer Science and Engineering Pallavaram Chennai India AVN Institute of Engineering and Technology Department of Computer Science and Engineering Hyderabad501510 India University of Salford School of Science Engineering and Environment SalfordM5 4WT United Kingdom Chandigarh University University Centre for Research and Development Mohali India Chitkara University Centre for Research Impact and Outcome India University of Bisha College of Computing and Information Technology Department of Computer Science and Artificial Intelligence Bisha Saudi Arabia King Khalid Univeersity Saudi Arabia

Consumer Electronic Devices have become an open network model because of the infusion of the Internet of Things (IoT) and other communication technologies such as 5G/6G. Though these devices have provided the high-end sophistication even to common person, but it has proved its darker side by triggering more security breaches and privacy problems. Hence, securing and authenticating these Internet enabled consumer devices has become a probable issue to be solved for safer and secured communication. Therefore, this paper presents a novel fusion of Web 3.0-based Blockchain (WBC) and Deep learning (DL) technique for securing consumer electronic devices in an IoT ecosystem. The proposed framework k(MTD-BCAM) is devised into two components: Multiple-Threat Detection(MTD) and Access Management Mechanism(AMM). In the first component, a DL model is applied for threat detection, whereas WBC is meant for an efficient authentication process. Furthermore, a novel residual fast-gated recurrent neural network is proposed. To reduce the complexity, the komodo Mlipir optimization (KMO) approach is used to tune the hyper-parameters of the network. The comprehensive experimental outcome study of the proposed approach employs NSL-KDD datasets in which the distinct metrics of both DL and Blockchain (BC) are measured and analyzed. Results demonstrated the superior accuracy of the model by achieving 99.78% with less computational time and higher transaction speed. Additionally, the statistical validation and security strength of the model are also analyzed and examined with the varied state-of-art models. © 2025 IEEE. All rights reserved.

关键词： Recurrent neural networks

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Hand gesture based interface for aiding visually impaired

Hand gesture based interface for aiding visually impaired

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2012 International Conference on Recent Advances in computing and Software Systems, RACSS 2012

作者： Panwar, Meenakshi Centre for Development of Advanced Computing Noida Uttar Pradesh India

ISBN: (纸本)9781467302548

Hand gesture recognition is a growing and very vast field of research. Numerous work have been done and a lot of work still remains to be done for providing a intuitive, innovative and natural way of non verbal communication, which is more familiar to human beings. Gesture Recognition is widely used in sign language, alternative computer interfaces, Immersive game technology etc. The aim of this paper is to present a system for hand gesture recognition to provide a interface for aiding visually impaired users on the basis of detection of some useful shape based features like orientation, area, centroid, extrema, location, presence of fingers and thumb in image. The approach discussed in this paper solely depends on the shape of the hand gesture. It does not comprise color or texture of the image, which are variant to different light shades and other influences. This approach uses some pre-processing steps for removal of background noise and employs K-means clustering for segmentation of hand object so that only segmented hand objects or cluster is to be processed in terms of shape based features. This unique approach can recognize around 36 different gestures on the bases of 7 bit binary sequence or string generated as a output of this algorithm. The proposed implemented approach has been tested on 360 images, and it gives approximate recognition rate of 94%. One of the great benefits of this algorithm is that it takes only fractional part of a second to recognize the hand gesture which makes it computationally efficient as compare to the other existing approach. The proposed algorithm is simple and independent of user characteristics. And also it does not require any kind of training of data like in HMM or neural network © 2012 IEEE.

关键词： Human computer interaction

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Hand gesture recognition based on shape parameters

Hand gesture recognition based on shape parameters

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2012 International Conference on computing, Communication and Applications, ICCCA 2012

作者： Panwar, Meenakshi Centre for Development of Advanced Computing Noida Uttar Pradesh India

ISBN: (纸本)9781467302722

Pattern recognition and Gesture recognition are the growing fields of research. Being a significant part in non verbal communication hand gestures are playing vital role in our daily life. Hand Gesture recognition system provides us an innovative, natural, user friendly way of interaction with the computer which is more familiar to the human beings. Gesture Recognition has a wide area of application including human machine interaction, sign language, immersive game technology etc. By keeping in mind the similarities of human hand shape with four fingers and one thumb, this paper aims to present a real time system for hand gesture recognition on the basis of detection of some meaningful shape based features like orientation, centre of mass (centroid), status of fingers, thumb in terms of raised or folded fingers of hand and their respective location in image. The approach introduced in this paper is totally depending on the shape parameters of the hand gesture. It does not consider any other mean of hand gesture recognition like skin color, texture because these image based features are extremely variant to different light conditions and other influences. To implement this approach we have utilized a simple web cam which is working on 20 fps with 7 mega pixel intensity. On having the input sequence of images through web cam it uses some pre-processing steps for removal of background noise and employs K-means clustering for segmenting the hand object from rest of the background, so that only segmented significant cluster or hand object is to be processed in order to calculate shape based features. This simple shape based approach to hand gesture recognition can identify around 45 different gestures on the bases of 5 bit binary string resulted as the output of this algorithm. This proposed implemented algorithm has been tested over 450 images and it gives approximate recognition rate of 94%. © 2012 IEEE.

关键词： Human computer interaction

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DRBD and XCAT Integration: Optimizing High Availability Performance 2

DRBD and XCAT Integration: Optimizing High Availability Perf...

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2nd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024

作者： Chaudhary, Divya Singh, Chitranjan Pawar, Pravin Wandhekar, Sanjay HPC- Tech Centre for Development of Advanced Computing Pune India

ISBN: (纸本)9798350360523

This paper delves into the significance of the Distributed Replicated Block Device (DRBD) within Linux clusters, emphasizing its pivotal role in providing essential features like High Availability (HA), fault tolerance, and high-performance computing. Implemented through userspace management applications, shell scripts, and a kernel driver, DRBD facilitates efficient load-sharing among nodes. Paired with Pacemaker and Corosync, it establishes a robust clustered environment with seamless failover, effectively reducing the risk of single points of failure. The study focuses on the DRBD setup with xCAT, concentrating on testing failover times and highlighting xCAT's contribution to automating cluster management tasks. This paper also explores the collaboration between DRBD, Pacemaker, and Corosync, emphasizing xCAT's role in delivering High Availability. Furthermore, the study aims to assess the migration of resources within the DRBD setup, providing valuable insights into the system's responsiveness during resource transfers. © 2024 IEEE.

关键词： Fault tolerance

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Provisioning the MM5 Meteorological model as grid scientific workflow

Provisioning the MM5 Meteorological model as grid scientific...

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2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010

作者： Asvija, B. Shamjith, K.V. Sridharan, R. Chattopadhyay, Subrata Centre for Development of Advanced Computing Knowledge Park Bangalore India

ISBN: (纸本)9780769542782

This article describes the enablement of the MM5 Meteorological model as a Computational Grid Workflow. Considering the challenges involved in converting legacy high performance scientific applications as service based workflows, this article provides an in-depth analysis and solutions thereof to design a Grid service based workflow of HPC scientific applications. It also captures the need and design of scientific workflows based on re-usable components and services. A brief overview of the performance parameters for this grid workflow is also included. Further this article is also intended to serve as a reference document for enthusiasts to grid enable other legacy applications in various areas such as Seismic research, Oil exploration, and other advanced industrial and business applications. © 2010 IEEE.

关键词： Climate models

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A Blockchain-Based Security Assessment Framework 26

A Blockchain-Based Security Assessment Framework

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26th International Conference on advanced Communications Technology, ICACT 2024

作者： Satyanarayana, N. Centre for Development of Advanced Computing ESecurity Department Hyderabad India

ISBN: (纸本)9791188428120

Using Blockchain Technology for Security Assessment results in effective monitoring capabilities especially when data analytics components are inbuilt in such a system. At present days, we can see the availability of many Security Information and Event Management (SIEM) tools that follow a client-server model for capturing data from different resources and performing data analysis on the server side. However, such tools serve the purpose of a single institute and depend on the trust level in a multi-institute or multi-center-project kind of environment where they can be used. Another limitation could be that if the server is attacked, the whole exercise would be futile. The lack of trust and concerns about data integrity in such an environment makes performing root cause analysis of security risks difficult. Blockchain technology ensures a tamper-proof, time-stamped, and decentralized storage repository that helps in maintaining data integrity even in complex and untrusted multi-institute or multi-center-project environments while assuring data provenance. This article presents a unified and comprehensive security assessment framework that produces a compliance report along with threat perception level by monitoring and assessing resources across multi-institute or multi-center-project in different geographical locations while supporting data privacy by leveraging Blockchain Technology capabilities. © 2024 Global IT Research Institute - GIRI.

关键词： Blockchain

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Multilingual conversational telephony speech corpus creation for real world speaker diarization and recognition 19

Multilingual conversational telephony speech corpus creation...

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19th Annual Conference of the Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques, O-COCOSDA 2016

作者： Khan, Soma Basu, Joyanta Pal, Madhab Roy, Rajib Bepari, Milton Samirakshma Centre for Development of Advanced Computing Kolkata West Bengal India

ISBN: (纸本)9781509035168

Real world speech data specially telephone conversations recorded in different background situations pose greater challenge for automatic speaker diarization and recognition. Limited numbers of real-world conversational speech resources restrict the research and development in this regard. Present work describes the design and development process of a real world multilingual conversational telephony speech corpus considering all kind of uncertainties and adversities of real-time. Conversations in the corpus are entirely transcribed to support the needs of automatic speaker diarization and recognition. The real world nature of the collected data has been verified through corpus statistics in terms of variations in speakers' age group, topic of conversation, gender-pairs in conversation, recording environment and language. © 2016 IEEE.

关键词： Speech recognition

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