检索结果-内蒙古大学图书馆

Automatic Evaluation for Machine Translation 1

7th International Conference on Smart Trends in computing and Communications, SmartCom 2023

作者： Singh, Shashi Pal Kumar, Ajai Saxena, Aarti Verma, Richa AAIG Center for Development of Advanced Computing Pune India Banasthali Vidyapith Rajasthan Banasthali India

ISBN: (数字)9789819907694

ISBN: (纸本)9789819907687

Language is the primary mode of communication. Communication is the only way to convey our thoughts and emotions to others. But there are many languages that we don't know how to speak and we can't learn all languages so quickly which is why Machine Translation systems were invented to help us communicate with anyone from anywhere. Researchers started working on Machine Translation Systems in the 1950s and have developed various amazing techniques to make our communication easy. Machine Translation Evaluation (MTE) Methodology checks the accuracy of the translations done by Machine Translation Tools. It is extremely important because while developing the translation systems, it constantly checks the performance and helps us to make appropriate changes in the system for bringing accuracy. Mostly it is done by comparing the output of machine translation systems with the translation(s) done by Human beings, there are also some techniques that do not require any reference sentences. In our project, we are using four Automated Machine Translation Evaluation metrics which are TER (Translation Error Rate), METEOR (Metric for Evaluation of Translation with Explicit Ordering), BLEU (Bilingual Evaluation Understudy), and NIST (National Institution of Standards and Technology) for English-Hindi Translation. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Technology transfer

来源：评论

学校读者我要写书评

暂无评论

Parallelization of low-level computer vision algorithms on clusters

Parallelization of low-level computer vision algorithms on c...

引用

2nd Asia International Conference on Modelling and Simulation, AMS 2008

作者： Kadam, Sanjay Scientific and Engineering Computing Group Center for Development Advanced Computing Pune University Campus Ganeshkhind Pune 411 007 Maharashtra India

ISBN: (纸本)9780769531366

In this paper we present parallel implementations of some representative low level vision algorithms on a cluster of workstations. These include convolution operation and the image restoration algorithm using Markov random field models. The convolution operation has been parallelized using the Farmer-Worker paradigm, while the image restoration algorithm has been parallelized through the Master-Worker pattern. Parallel implementations of both these algorithms have shown promising results, where the observed speedups are reasonably close to the ideal speedups. The parallel convolution operation has shown good scalability with respect to the problem size and number of processors used in parallelization. The paper elaborates on different parallelization results of the convolution operation observed after varying the image size, mask size and processor load on individual workstations. The image restoration algorithm is communication intensive. However, as the computing time between successive communications at each worker process is relatively high, the actual speedups observed are very close to the ideal speedups in this algorithm. © 2008 IEEE.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Secured Automatic Meter Reading for Implementation of SAMAST Framework in India 1

引用

6th International Conference and Exhibition on Smart Grids and Smart Cities, ISUW 2020

作者： Sidhartha, Dodla Mahendra, Lagineni Mohan, Katta Jagan Kumar, R. K. Senthil Bindhumadhava, B.S. Center for Development of Advanced Computing Knowledge Park No 1 Old Madras Road Byappanahalli Bangalore India

ISBN: (数字)9789811690082

ISBN: (纸本)9789811690075

The next level of the smart grid contains essential components like advanced Interface Energy Meters (IEMs), which play a major role in SAMAST (Scheduling, Accounting, Metering and Settlement of Transactions in Electricity) implementation in India. Automatic meter reading (AMR) is one of the very important modules considered in the implementation of the SAMAST Framework in India. As per SAMAST guidelines, all IEMs data should be available at corresponding State Load Dispatch center (SLDC) in defined periodic intervals. Various communication mediums like PLCC, Fiber Optics, VSAT, and GSM/GPRS/3G/4G are used to transfer data from substation IEMs to the control center. Communication between the IEMs and Control center is vulnerable for various attacks like Meter spoofing attack, Authentication attacks, Man-In-The-Middle (MITM) attacks, Reply attacks, De-pseudonymization attacks, etc. These attacks on communication have a cascading effect on other modules of SAMAST such as scheduling, forecasting, accounting, and deviation settlement of the transactions. The proposed solution helps to achieve high-secure data communication between IEMs and control center by retaining interoperability and also addresses various attacks by using various security suites of DLMS/COSEM High-Security mechanism without compromising the availability, integrity, and confidentiality of the data. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electric load dispatching

来源：评论

学校读者我要写书评

暂无评论

Forensic data carving

Forensic data carving

引用

2nd International Conference on Digital Forensics and Cyber Crime, ICDF2C 2010

作者： Povar, Digambar Bhadran, V.K. Center for Development of Advanced Computing Trivandrum Ministry of Communications and Information Technology Govt. of India India

ISBN: (纸本)9783642195129

File or data carving is a term used in the field of Cyber forensics. Cyber forensics is the process of acquisition, authentication, analysis and documentation of evidence extracted from and/or contained in a computer system, computer network and digital media. Extracting data (file) out of undifferentiated blocks (raw data) is called as carving. Identifying and recovering files based on analysis of file formats is known as file carving. In Cyber Forensics, carving is a helpful technique in finding hidden or deleted files from digital media. A file can be hidden in areas like lost clusters, unallocated clusters and slack space of the disk or digital media. To use this method of extraction, a file should have a standard file signature called a file header (start of the file). A search is performed to locate the file header and continued until the file footer (end of the file) is reached. The data between these two points will be extracted and analyzed to validate the file. The extraction algorithm uses different methods of carving depending on the file formats. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2011.

关键词： Digital storage

来源：评论

学校读者我要写书评

暂无评论

Design of Enterprise Storage Architecture for Optimal Business Continuity

引用

Journal of Electronic Science and Technology 2010年第3期8卷 206-214页

作者： Rekha Singhal Prasad Pawar Shreya Bokare Rashmi Kale Yogendra Pal Center for Development of Advanced Computing Institute of Technology

This paper presents a solution for optimal business continuity, with storage architecture for enterprise applications, which will ensure zero data loss and quick recovery. The solution makes use of Internet protocol storage area network （IPSAN）, which is used for data management without burdening the application server, as well as mix of synchronous and semi-synchronous replication techniques to replicate data to remote disaster recovery site. We have presented the detailed design of both synchronous and semi-synchronous with case study of using open source database postgres to prove our point for optimal business continuity. The theoretical presentation is also given for the same.

关键词： Business continuity disaster recovery Internet protocol storage area network (IPSAN) semi-synchronous replication synchronous replication.

来源：评论

学校读者我要写书评

暂无评论

Demosaicing: Study and application in cytology image analysis

Demosaicing: Study and application in cytology image analysi...

引用

2012 Annual IEEE India Conference, INDICON 2012

作者： Parvathy, R. Rajesh Kumar, R. Rajagiri School of Engineering and Technology Kochi Kerala India Center for Development of Advanced Computing Thiruvananthapuram Kerala India

ISBN: (纸本)9781467322720

Most digital cameras use color filter arrays of different patterns to capture color image. The output of the color filter array is a sampled version of the original color image. Demosaicing algorithms are used to reconstruct the original color image from this sampled version. Medical image analysis is increasing day by day. The amount of data to be saved is also on the increase. Standard compression techniques like JPEG if used may cause loss of diagnostic data which cannot be tolerated. So if a proper demosaicing algorithm can be found such that there is not much loss of data in reconstruction then the images can be saved in raw format and color image can be reconstructed using this algorithm, when needed, leading to a great amount of compression. This paper studies and compares different existing demosaicing algorithms to find a suitable algorithm for this application. © 2012 IEEE.

关键词： Color

来源：评论

学校读者我要写书评

暂无评论

Effective TARO pattern generation

Effective TARO pattern generation

引用

23rd IEEE VLSI Test Symposium, VTS 2005

作者： Park, Intaik Al-Yamani, Ahmad McCluskey, Edward J. Center for Reliable Computing Stanford University United States TNT Advanced Development LSI Logic Corporation United States

ISBN: (纸本)0769523145

TARO test patterns are transition fault test patterns that sensitize each transition fault to all of the outputs that can be reached from the fault location. We were not able to identify any ATPG tool that can generate TARO test patterns directly. This paper describes a technique to use an existing transition fault ATPG tool to efficiently generate TARO test patterns. This technique was used to generate TARO patterns for the ELF35 test chip. When these patterns were applied to the ELF 35 chips, all of the defective chips were discovered (no test escapes). © 2005 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adoption and Assessment of Machine Learning Algorithms in Security Operations Centre for Critical Infrastructure 6th

Adoption and Assessment of Machine Learning Algorithms in Se...

引用

6th International Conference and Exhibition on Smart Grids and Smart Cities, ISUW 2020

作者： Yeshwanth, M.V. Kalluri, Rajesh Rao, M. Siddharth Kumar, R. K. Senthil Bindhumadhava, B.S. Center for Development of Advanced Computing C-DAC Knowledge Park No 1 Old Madras Road Byappanahalli Bangalore India

ISBN: (纸本)9789811690075

Perception of establishing a Security Operations Centre (SOC) depends on the criticality of information assurance and security operations in response to the ever-changing security threat landscape and adoption of formal security standards. From a security perspective, both IT and OT systems are vulnerable to similar threats—botnets, script kiddies, viruses and other malware. The key difference between the two environments, however, has to do with human safety. Typically critical infrastructures are provided with security measures like firewall, demilitarized zones, Intrusion prevention systems (IPS), Intrusion detection systems (IDS), anti virus etc. However, with new threats always around the corner, it's important to have a dedicated infrastructure to deal with these problems, like the SOC. SOC is a centralized unit that deals with security issues on an organizational and technical level. It can be used by utilities which form a part of critical infrastructure like power systems for any threat detection and taking timely action. Typically, SOC is divided into four layers i.e. data collection source, data processing, technologies and display platform. This paper gives an in depth review and comparison of the machine learning models that can be used by the SOC at different layers. Different machine learning models are to be applied at different layers, so its required to evaluate which models give better accuracy in detecting threats. For evaluation of ML algorithms cases covered in this paper are event correlation, breach detection, rule based processing and anomaly detection. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Critical infrastructures

来源：评论

学校读者我要写书评

暂无评论

Complementing Static and Dynamic Analysis Approaches For Better Network Defense

Complementing Static and Dynamic Analysis Approaches For Bet...

引用

Dependable computing and Communications Symposium

作者： Himanshu Pareek N. Sarat Chandra Babu Center for Development of Advanced Computing

ISBN: (纸本)9781467364713

This paper presents a novel approach to prevent execution of malicious files on host system present in the network. For preventing a malicious file at gateway level, it is required to do reassembly of packets which in turn reduces the network performance by huge margins. This work combines static and dynamic analysis approaches and implements a minimal agent based system to prevent malicious files and in turn increase the dependability using existing systems.

关键词： Network defense Heuristics Malware

来源：评论

学校读者我要写书评

暂无评论

Urban travel demand estimation using genetic algorithm

Urban travel demand estimation using genetic algorithm

引用

International Conference on Cognitive computing and Information Processing

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

Constant increase in urban road traffic is forcing traffic authorities to confront unavoidable congestion problems these days. This creates new challenges for city planners to generate traffic routes with better designs and improve the existing roads. In order to analyze and improve traffic routes, there is a need to understand movement patterns of major vehicular traffic inside the city. Origin Destination(OD) estimation is one such method for understanding the movement patterns. The objective is to find an optimal OD matrix for city traffic, which is a subtle process for classic algorithms. The solution to this problem is Genetic Algorithm (GA) approach which is a search heuristics to find optimal solution from a set of random solutions. A Genetic Algorithm approach has been developed to find an optimal OD matrix, showing the actual travel patterns of significant number of vehicles inside the city. Once the best OD matrix is obtained, it yields a big opportunity for traffic planners to analyze and improve traffic scenario. Genetic Algorithm can play a major role in solving complex problems. In this paper, one such problem of estimating OD matrix of a city is discussed and implemented. In conjunction to genetic algorithm, Mean Absolute Percentage Error(MAPE) has been used as a fitness criteria for finding the optimal OD matrix.

关键词： Genetic algorithms Cities and towns Estimation Biological cells Vehicles Mobile communication Roads

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：