2018 Conference on Information and Communication Technology (CICT)最新文献_第4页

Analysis of Crosstalk Performance and its Reduction Amount in Single-mode Homogeneous Trench-assisted Multicore Fiber 单模均质沟槽辅助多芯光纤串扰性能及其消减量分析

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722383

Dablu Kumar, Rakesh Ranjan

引用次数: 1

A Vector-based EEG Signal Feature Extraction Technique for BCI Applications 基于向量的脑电信号特征提取技术在脑机接口中的应用

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722350

Abhineet Saxena, V. K. Siriah, Vandana Agarwal

引用次数: 0

STAR: rating of reviewS by exploiting variation in emoTions using trAnsfer leaRning framework STAR:利用迁移学习框架利用情绪变化对评论进行评级

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722356

Aditya Vijayvergia, Krishan Kumar

引用次数: 15

Performance evaluation of an energy efficient clustering algorithm based on heterogeneous node deployment in a wireless sensor network 基于异构节点部署的无线传感器网络节能聚类算法性能评价

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722421

Somnath Gupta, S. Anand, Mohit Kumar, Sarah Asheer, Sanjeet Kumar

{"title":"Performance evaluation of an energy efficient clustering algorithm based on heterogeneous node deployment in a wireless sensor network","authors":"Somnath Gupta, S. Anand, Mohit Kumar, Sarah Asheer, Sanjeet Kumar","doi":"10.1109/INFOCOMTECH.2018.8722421","DOIUrl":"https://doi.org/10.1109/INFOCOMTECH.2018.8722421","url":null,"abstract":"Clustering is one of the proven technique of energy conservation in a Wireless Sensor Network. In this paper, we have proposed a Deployment Based Clustering (DBC) algorithm and its performance is compared with Low Energy Adaptive Clustering Hierarchy (LEACH). In LEACH, nodes are normally deployed in a random manner. In random deployment scenario, node deployment may be fast but holes may be present which adversely affects the performance of the network. Introducing uniform deployment can be one of the options to eliminate the holes present in network. But this can be time consuming as the nodes are deployed manually in an ordered manner for uniform distribution. So we reach a covenant between random and uniform deployment to get the benefits of both. So, we have introduced DBC, where the advanced nodes are deployed in uniform manner and the remaining nodes are deployed randomly around the advanced nodes to form several clusters. In this deployment the node density is kept uniform throughout the network. In LEACH, cluster formation is done after cluster head selection, while in DBC, cluster formation is done before cluster head selection. We have observed a significant gain in the proposed DBC performance in comparison to the LEACH protocol. The performance of DBC is examined in terms of ‘Number of Nodes Alive’ and ‘Lifetime of the Network’. The simulations show that the DBC gives 60% better performance than LEACH.","PeriodicalId":175757,"journal":{"name":"2018 Conference on Information and Communication Technology (CICT)","volume":"17 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":"115972207","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

Detection of facial parts in kinship verification based on edge information 基于边缘信息的亲属关系验证中面部部位的检测

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/infocomtech.2018.8722377

Aarti Goyal, T. Meenpal

{"title":"Detection of facial parts in kinship verification based on edge information","authors":"Aarti Goyal, T. Meenpal","doi":"10.1109/infocomtech.2018.8722377","DOIUrl":"https://doi.org/10.1109/infocomtech.2018.8722377","url":null,"abstract":"Kinship verification using facial images is gaining substantial attention by different researchers in the field of computer vision, pattern recognition and image processing. Kinship verification via facial images is motivated by the findings that individuals with some genetic relations have certain similarities in their facial appearance. These similarities in facial appearance is a result of inherited facial features from one generation to next generation. Most of the papers based on kinship verification focus on complete facial appearance of kinship image pairs for finding kinship relations. Rather, researchers should focus on salient facial parts of kinship image pairs. In this paper, we present a relevant and effective method to detect and extract different facial parts in kinship image pairs. A detailed output is shown for father-son image pair and performance accuracy is evaluated for different kinship datasets for robustness of the proposed work. The experimental results show that proposed method effectively detect and extract different facial parts in kinship image pairs and would work as a novel algorithm for kinship verification.","PeriodicalId":175757,"journal":{"name":"2018 Conference on Information and Communication Technology (CICT)","volume":"02 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":"127363582","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: 1

Drowsiness Detection using Instantaneous Frequency based Rhythms Separation for EEG Signals 基于瞬时频率节律分离的脑电信号睡意检测

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722429

S. Taran, V. Bajaj

引用次数: 8

An improved Binary Particle Swarm Optimization (iBPSO) for Gene Selection and Cancer Classification using DNA Microarrays 基于DNA微阵列的基因选择和肿瘤分类的改进双粒子群优化方法

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722351

Indu Jain, V. Jain, R. Jain

{"title":"An improved Binary Particle Swarm Optimization (iBPSO) for Gene Selection and Cancer Classification using DNA Microarrays","authors":"Indu Jain, V. Jain, R. Jain","doi":"10.1109/INFOCOMTECH.2018.8722351","DOIUrl":"https://doi.org/10.1109/INFOCOMTECH.2018.8722351","url":null,"abstract":"DNA Microarrays enable the detection of genetic changes attributable to cancer by simultaneously analyzing the expression of thousands of genes. However, the identification of most relevant genes from thousands of gene expressions available in each biological sample, for cancer classification pose a great challenge. Although researchers have applied BPSO based wrapper approaches to get most relevant genes prior to cancer classification, these approaches didn’t achieve good classification accuracy due to the premature convergence caused by local stagnation problem. This paper proposes an improved Binary Particle Swarm Optimization (iBPSO) to tackle these issues. The proposed iBPSO based wrapper is examined using Naive-Bayes (NB), k-Nearest Neighbor (kNN), and Support Vector Machines (SVM) classifiers with stratified 5-fold cross-validation. The proposed iBPSO exhibited its efficacy in terms of classification accuracy and the number of selected genes in comparison to standard BPSO on six benchmark cancer microarray datasets. Our proposed iBPSO also effectively escapes from local minima stagnation.","PeriodicalId":175757,"journal":{"name":"2018 Conference on Information and Communication Technology (CICT)","volume":"11 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":"123676746","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: 4

A blind and secured image watermarking method using DWT-DCT techniques 一种基于DWT-DCT技术的盲安全图像水印方法

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722400

Rishi Sinhal, I. Ansari

引用次数: 2

SOD-CHIEF: Salient Object Detection using Convex Hull with multI-scale Energy Functions 基于多尺度能量函数的凸包显著目标检测

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722394

Maheep Singh, Mahesh Chandra Govil, E. Pilli

引用次数: 1

Physical Layer Security for Cooperative Vehicular Amplify-and-Forward Relay Networks 协同车载放大转发中继网络的物理层安全

2018 Conference on Information and Communication Technology (CICT) Pub Date : 2018-10-01 DOI: 10.1109/INFOCOMTECH.2018.8722346

Anshul Pandey, S. Yadav

引用次数: 4