2018 Conference on Information and Communication Technology (CICT)最新文献_第7页

Determining "OFF" Time Duration of FPGA basec GPS Tracking System* 基于FPGA的GPS跟踪系统“关闭”时间的确定*

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722403

A. Anil, M. K, T. Panigrahi, Ankit Dubey

{"title":"Determining \"OFF\" Time Duration of FPGA basec GPS Tracking System*","authors":"A. Anil, M. K, T. Panigrahi, Ankit Dubey","doi":"10.1109/INFOCOMTECH.2018.8722403","DOIUrl":"https://doi.org/10.1109/INFOCOMTECH.2018.8722403","url":null,"abstract":"Abstract—In the world of configurable computing, field programmable gate arrays (FPGAs) plays a prominent role. FPGAs give the ability to implement custom hardware functions with the use of prebuilt logic blocks and programmable routing of resources. It also provides the best parts of both ASICs and processor based systems. With the tremendous increase in application and use of FPGA, the need for security to the data produced is immensely high. One such key security factor the current FPGAs in the industry fall short of is determining the OFF time duration. This would be a major threat to the data produced by FPGAs in time sensitive applications. In time sensitive applications, if the off time duration of FPGA is not ensured then, the data produced by the FPGA would be rather obsolete or not very useful without some pre-processing. When larger designs are implemented on FPGAs, they are likely to have multiple clocks running on different paths. Due to FPGAs infinite length clocks, you can create as many clocks as you want with the help of PLL or DCMs. Thus to determine its OFF time is difficult and challenging. To tackle this problem, this paper deals with one such solution of determining OFF duration of FPGA with the help of Arduino. In this paper, one such application that is GPS tracking system is implemented. In order to improve the reliability of that system, the OFF time measurement is measured and verified with real clock to check intentionally making the system power off.","PeriodicalId":175757,"journal":{"name":"2018 Conference on Information and Communication Technology (CICT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114346232","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

Analyzing Code Smell Removal Sequences for Enhanced Software Maintainability 分析代码气味去除序列以增强软件可维护性

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722418

Yukti Mehta, Paramvir Singh, A. Sureka

{"title":"Analyzing Code Smell Removal Sequences for Enhanced Software Maintainability","authors":"Yukti Mehta, Paramvir Singh, A. Sureka","doi":"10.1109/INFOCOMTECH.2018.8722418","DOIUrl":"https://doi.org/10.1109/INFOCOMTECH.2018.8722418","url":null,"abstract":"Code smells are the surface indications which affect the maintainability of the software. Code smells disturb the maintainability of the code by starting a chain reaction of breakages in dependent modules which makes it difficult to read and modify. Applying appropriate refactoring sequences by prioritizing the classes to obtain maintainable software is a tedious process due to strict deadlines of the projects for the developers. Recent researches have explored varied ways of ranking the classes to improve the maintainability. This work empirically investigates the impact of eliminating three prominent code smells by considering their six possible combinations. Our work prioritizes the object oriented software classes in the code that are in the need of refactoring. For prioritizing the refactoring prone classes, a proposed metric, maintainability complexity index is calculated using the values of maintainability index and relative logical complexity as the inputs. The study outcomes show the values of maintainability predicting metrics for the corresponding permutation of the code smell removal sequence. Also, the work aims to yield the sequence which gives software with maximum maintainability so that developers and researchers can save their effort and time to produce high quality software.","PeriodicalId":175757,"journal":{"name":"2018 Conference on Information and Communication Technology (CICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132762671","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

Weed Detection in Farm Crops using Parallel Image Processing 基于并行图像处理的农作物杂草检测

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722369

S. Umamaheswari, R. Arjun, D. Meganathan

引用次数: 21

Optic Disc Segmentation using Vessel In-painting and Random Walk Algorithm 基于血管绘制和随机游走算法的视盘分割

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/infocomtech.2018.8722374

Neha Gour, P. Khanna

引用次数: 3

Low Rank Representation based Discriminative Multi Manifold Analysis for Low-Resolution Face Recognition 基于低秩表示的判别多流形分析在低分辨率人脸识别中的应用

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722393

Yashwanth Kumar Mydam, Shyam Singh Rajput, P. Chanak

{"title":"Low Rank Representation based Discriminative Multi Manifold Analysis for Low-Resolution Face Recognition","authors":"Yashwanth Kumar Mydam, Shyam Singh Rajput, P. Chanak","doi":"10.1109/INFOCOMTECH.2018.8722393","DOIUrl":"https://doi.org/10.1109/INFOCOMTECH.2018.8722393","url":null,"abstract":"Practical face recognition algorithms occasionally faced with the problem of low-resolution profile images. Face images taken by monitoring cameras generally tend to be low-resolution(LR) with extension to unrestrained poses, noise, lighting conditions and occlusion. In this paper, we introduce a low matrix mechanism of matching occluded or inadequate characteristic profile images to a group of high-resolution(HR) profile image representations. In previous research, for matching an LR probe to a set of HR gallery images has introduced a training-based super-resolution approach which transforms LR and HR profile images into a common discriminant characteristic feature space (CDFS) for recognition. To distinguish LR images which are constrained to noise and occlusion, we present a low matrix recovery system which combines the concept of robust principal component analysis (RPCA) and coupled discriminant multi-manifold analysis (CDMMA). In RPCA, we propose to recover a low order matrix from extremely corrupted measures for better representation ability and then perform CDMMA approach in a supervised way where discriminant characteristic features for recognition increased. And then, a standard classification method is employed for final identification.","PeriodicalId":175757,"journal":{"name":"2018 Conference on Information and Communication Technology (CICT)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126052849","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

Hiding the Secret Image Using Two Cover Images for Enhancing the Robustness of the Stego Image Using Haar DWT and LSB Techniques 利用Haar DWT和LSB技术对隐藏图像进行隐藏以增强隐藏图像的鲁棒性

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722352

Shrikant P Mudnur, Satish Raj Goyal, K. Jariwala, Warish D. Patel, Bhupendra Ramani

引用次数: 2

Power Optimization of Cell Free massive MIMO with Zero-forcing Beamforming Technique 基于零强迫波束形成技术的无小区大规模MIMO功率优化

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722368

Subodh Chand Tripathi, A. Trivedi, Shweta Rajoria

引用次数: 7

CICT 2018 Sponsors CICT 2018主办单位

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/infocomtech.2018.8722361

引用次数: 0

Drishtikon: An advanced navigational aid system for visually impaired people Drishtikon:为视障人士设计的先进导航辅助系统

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/infocomtech.2018.8722376

Shashank Kotyan, Nishant Kumar, P. Sahu, Venkanna Udutalapally

引用次数: 3

Glioma identification from brain MRI using superpixels and FCM clustering 利用超像素和FCM聚类识别脑MRI中的胶质瘤

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722405

N. Gupta, Shiwangi Mishra, P. Khanna

引用次数: 3