2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)最新文献

Novel Test Methods for NPSF Faults in SRAM SRAM中NPSF故障的新测试方法

2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) Pub Date : 2018-09-01 DOI: 10.1109/CCTES.2018.8674087

M. Parvathi, T. Himasree, T. Bhavyasree

{"title":"Novel Test Methods for NPSF Faults in SRAM","authors":"M. Parvathi, T. Himasree, T. Bhavyasree","doi":"10.1109/CCTES.2018.8674087","DOIUrl":"https://doi.org/10.1109/CCTES.2018.8674087","url":null,"abstract":"NPSF (Neighborhood Pattern Sensitive Faults) involves with three or more cells in the memory. These NPSF fault models are recognized as high quality fault models for memory arrays. The excessive test algorithm time lost associated with its compared to other fault models restricts its adoption for memory testing. The existing methodology for NPSF fault detection using CA (Cellular Automata) with Hamiltonian sequence is inadequate due to long test time and deficient in complete fault detection. In order to improve the fault detection further, an extensive test method is proposed in our work that uses binary and gray sequences along with existing Hamiltonian series in the CA test environment. Since CA uses set of rules, 256 such rules are considered in the combination of 28 i.e., 00000000 to 11111111. These rules are applied in parallel while writing each Hamiltonian or gray or binary bit pattern on the chosen memory structure. It is observed that the speed of fault detection is improved by 29% and 44% using Gray and binary series respectively at the cost of area overhead in terms of number of slice LUT’s which are raised by 15% when compared with existing Hamiltonian series. The key advantage of using Gray and binary is that the fault free test pattern arises at rule 60 and 204 respectively. Whereas using Hamiltonian, it is required to wait until rule 225 to arise fault free condition.","PeriodicalId":219876,"journal":{"name":"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115257863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Modelling of Energy Efficient PV-Diesel-Battery Hybrid system 节能光伏-柴油-电池混合动力系统建模

2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) Pub Date : 2018-09-01 DOI: 10.1109/CCTES.2018.8674100

Pragati Tripathi, M. A. Ansari, M. J. Khan, Sukriti Yadav

{"title":"Modelling of Energy Efficient PV-Diesel-Battery Hybrid system","authors":"Pragati Tripathi, M. A. Ansari, M. J. Khan, Sukriti Yadav","doi":"10.1109/CCTES.2018.8674100","DOIUrl":"https://doi.org/10.1109/CCTES.2018.8674100","url":null,"abstract":"In the present times, still much of the power generation is dependent on fuel. In remote areas where direct connection to grid is not economic, fuel generators are recommended. Among these Diesel Generator is most common in practice due to its high thermal efficiency, less fuel consumption and good compatible properties of the fuel. Still full dependency on fuel consumption puts stress on the sustainable development. Hence PV and storage system is synchronized with the generator to supply the load. Photovoltaic generation being a renewable source acts as a counter part for all the restrictions of using a fuel source alone at a mass level. In this work continuity of load is laid as focus under irregular conditions of solar insolation. SOC variations are studied representing the behavior of battery under changing conditions. Diesel generator is used as a backup when the other two sources mentioned fails to fulfill the load demand. A Simulink model of the integrated system is developed and a set of conditions are taken to study its behavior under transient conditions.","PeriodicalId":219876,"journal":{"name":"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122661363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Sine-Cosine Algorithm based PIDD2 Controller Design for AGC of a Multisource Power System Incorporating GTPP in DG unit 基于正弦余弦算法的DG机组GTPP多源电力系统AGC PIDD2控制器设计

2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) Pub Date : 2018-09-01 DOI: 10.1109/CCTES.2018.8674088

R. Shankar

引用次数: 2

Yaw Bias Model for Earth Observation Spacecrafts 对地观测航天器偏航偏差模型

2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) Pub Date : 2018-09-01 DOI: 10.1109/CCTES.2018.8674162

A. Sinha, M. Zaheer, Sonia Behal

引用次数: 0

Recent Trends on Real Time Simulation of FACTS: A Review 事实实时仿真研究进展综述

2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) Pub Date : 2018-09-01 DOI: 10.1109/CCTES.2018.8674160

Govind Koundal, S. Shimi

引用次数: 2

Technical Review of Image de-Noising Techniques 图像去噪技术综述

2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) Pub Date : 2018-09-01 DOI: 10.1109/CCTES.2018.8674102

S. Trivedi, K. Singh

引用次数: 1

Potential of Information Fusion of Optical and SAR Data for Snow Cover Characterization 光学和SAR数据信息融合在积雪特征分析中的潜力

2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) Pub Date : 2018-09-01 DOI: 10.1109/CCTES.2018.8674121

D. Varade, A. Maurya, O. Dikshit

{"title":"Potential of Information Fusion of Optical and SAR Data for Snow Cover Characterization","authors":"D. Varade, A. Maurya, O. Dikshit","doi":"10.1109/CCTES.2018.8674121","DOIUrl":"https://doi.org/10.1109/CCTES.2018.8674121","url":null,"abstract":"Himalayan snow contributes significantly in towards water resource in several countries in Asia. In mountain hydrology, timely information on the spatial and temporal variability of the extent of wet snow is significant in snowmelt runoff models. Recent advances in remote sensing technology have enabled us to study the extent of snow cover using different techniques based on remote sensing data. The all-weather capability of Synthetic Aperture Radar (SAR) makes it extremely useful especially in difficult alpine terrains. Due to the penetrability of microwave signals, dry snow often exhibits scattering from the underlying soil surface. Snow exhibits very high reflectance in the visible and near infrared spectrum. Thus, using either optical or active microwave data, identification of wet and dry snow for characterization of snow surface is a complicated problem. This paper investigates the potential of optical and SAR imagery for identification of dry and wet snow in alpine regions by considering a synergistic multi-sensor framework. In this study, the wet snow is identified using Sentinel-1A and ALOS-2 PALSAR-2 and simultaneously the dry snow is determined using Landsat-8 multispectral data. The study is conducted around a glacier area in Sarsot near Gulmarg in Jammu and Kashmir, India.","PeriodicalId":219876,"journal":{"name":"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128070889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Current Density, Absorption Coefficient for Increasing the Efficiency of Solar Cell by using GaAs as Substrate 以砷化镓为衬底提高太阳能电池效率的电流密度、吸收系数分析

2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) Pub Date : 2018-09-01 DOI: 10.1109/CCTES.2018.8674083

Pragati Tripathi, M. A. Ansari, I. Khan, Mukul Singh

引用次数: 0

The Impact of Integrating Building Energy Management System (BEMS) and Energy Audit: A Review 建筑能源管理系统(BEMS)与能源审计整合的影响:综述

2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) Pub Date : 2018-09-01 DOI: 10.1109/CCTES.2018.8673982

Mohammed Alam

引用次数: 1

Tailoring of Band Gap in Manganese doped Sodium Hexa-titanate 锰掺杂六钛酸钠带隙的裁剪

2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) Pub Date : 2018-09-01 DOI: 10.1109/CCTES.2018.8673983

N. Alam, V. Chandel, T. Khatoon, S. Tripathi, A. Azam, Rashmi, M. Shariq

引用次数: 3