2018 Second International Conference on Computing Methodologies and Communication (ICCMC)最新文献_第3页

Morphological and Neural Network Based Approach for Detection of Exudates in Fundus Images 基于形态学和神经网络的眼底图像渗出物检测方法

2018 Second International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2018-02-01 DOI: 10.1109/ICCMC.2018.8487517

S. Bharkad

引用次数: 3

A cellular Automata approach for noisy images edge detection under null boundary conditions 零边界条件下含噪图像边缘检测的元胞自动机方法

2018 Second International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2018-02-01 DOI: 10.1109/ICCMC.2018.8487526

Atefeh Aghaei

{"title":"A cellular Automata approach for noisy images edge detection under null boundary conditions","authors":"Atefeh Aghaei","doi":"10.1109/ICCMC.2018.8487526","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487526","url":null,"abstract":"Cellular automata (CA) refer to a simple and conventional method which performs parallel processing, thereby exhibiting better performance than serial processing in certain contexts, particularly in terms of reduced time complexity. Edge detection is widely used in image processing and numerous methods have been proposed for this purpose. However, most of existing methods are serial techniques and fail to take into consideration noise content of the image. In this paper, an edge detection technique was proposed for noisy images based on a four-neighborhood under Null boundary cellular automata (FNNBCA) for noise elimination and a two-dimensional twenty-five neighborhoods under Null Boundary cellular automata (TFNNBCA) for edge detection. This method considers linear CA rules under null boundary conditions only. Efficiency of the proposed method was further compared to those of existing methods, indicating much promising performance of the proposed method for binary images, so that all edges were well detected even on complex images. Finally, results of implementing the method in MATLAB are presented.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"65 1","pages":"771-777"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74477428","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

Performance Evaluation of Load Balancing Algorithms in Hadoop Hadoop中负载均衡算法的性能评估

2018 Second International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2018-02-01 DOI: 10.1109/ICCMC.2018.8487916

Surbhi, Oshin, Mahesh Chandra Bhatt

{"title":"Performance Evaluation of Load Balancing Algorithms in Hadoop","authors":"Surbhi, Oshin, Mahesh Chandra Bhatt","doi":"10.1109/ICCMC.2018.8487916","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487916","url":null,"abstract":"Hadoop is a popular model used in shared-nothing clusters for data-intensive parallel computing. The MapReduce-algorithm is a model that operates on distributed, parallel systems. Hadoop has different implementation of this MapReduce-algorithm. Some of the implementations during execution produce an imbalance of work on the cluster. The performance of MapReduce mainly depends on data distribution which is one of the main issues as the load is not balanced among nodes. FIFO job scheduler that serves the jobs in their submission order is used by MapReduce to balance the load but unfortunately it is inefficient in real world cases as it missed many important factors that impact the performance such as heterogeneity factor and data skewness, so Load balancing is important to make all resources utilized evenly and more efficiently. Load balancing is an approach of improving the system’s performance by redistributing the load among nodes.The main goal of this work is to execute various load balancing algorithms in hadoop framework. In this dissertation various load balancing algorithms such as Randomized Hydrodynamic Load Balancing, Cogset Load Balance, Block-based Load Balancing for Entity Resolution, Ant colony Optimization, Shortest Path are simulated and comparisons being made on the basis of various parameters like delay time, response time, throughput, turnaround time and threshold to find the best that solve the data distribution problem.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"150 1","pages":"491-496"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72842732","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

Contemporary Encryption Technique for Images using CLEFIA 使用CLEFIA的当代图像加密技术

2018 Second International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2018-02-01 DOI: 10.1109/ICCMC.2018.8488153

J. Cheltha. C, R. K. Jha, Mohit Jain, P. K. Sharma

引用次数: 0

MPP tracking using IS controller based SEPIC converter 基于IS控制器的SEPIC转换器的MPP跟踪

2018 Second International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2018-02-01 DOI: 10.1109/ICCMC.2018.8487817

G. Prutha, G. Anitha

{"title":"MPP tracking using IS controller based SEPIC converter","authors":"G. Prutha, G. Anitha","doi":"10.1109/ICCMC.2018.8487817","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487817","url":null,"abstract":"This paper presents maximum power point tracking (MPPT) using an intelligence system (IS) based single-ended primary-inductor (SEPIC) converter to operate photovoltaic (PV) system. This paper represents the comparison and improvisation of efficiency with two controllers. The suggested IS is showed to get faster response when compared to the traditional PI controller. It showed high precision during current and irradiation variation and retains the voltage without any changes in the system. The proposed IS based system makes sure that the favorable use of PV system and demonstrates its intended results in different irradiation functions at the output part. The execution of the converter is been tested at different constraints. The execution of the proposed IS based MPP operation of converter will be comparing with the conventional PI based converter. The results in this work is shown that the IS based MPP scheme for SEPIC will be tracking the accurate reference signal and as well as the transfer power more than that of the conventional PI based system. Compare to the PI based system the FLC has improved its efficiency about 3% in this work. In this paper the Simulink model is been built in MATLAB 2013a Version is used to get the result.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"34 1","pages":"270-275"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79828151","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

Enhanced Hopfield Neural Network with Edge Preserving (EHNN-EP) based severity diagnosis of Ductal Carcinoma in Situ (DCIS) 基于边缘保持的增强Hopfield神经网络(EHNN-EP)在导管原位癌(DCIS)严重程度诊断中的应用

2018 Second International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2018-02-01 DOI: 10.1109/ICCMC.2018.8487895

H. Mercy, P. Thangavel

{"title":"Enhanced Hopfield Neural Network with Edge Preserving (EHNN-EP) based severity diagnosis of Ductal Carcinoma in Situ (DCIS)","authors":"H. Mercy, P. Thangavel","doi":"10.1109/ICCMC.2018.8487895","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487895","url":null,"abstract":"Computer aided mammogram image cancer segmentation is more complex in intensity mapping to predict the normal and infected region. Generally, image thresholding and static feature based clustering deals with the fixed level of intensity mapping to segment it. Since, the pattern structure of given testing image must need to analyse the cancer level. In this paper, the Enhanced Hopfield Neural Network model with Edge Preserving (EHNN-EP) technique is used for segmenting the cancer region from mammogram image which is to enhance the prediction range of image clustering. Initially, the additive noise can be eliminating by median filter which makes the image smoothening and improve the intensity level. This type of enhancing the image leads to provide the edge details of that image. Also, the HNN performs the repeated learning od image feature which improves the image clustering. The performance report of this proposed method of EHNN can be validate by referring the comparison result of traditional state-of-art methods in two different mammogram image databases. The comparison result represents the performance level of EHNN-EP method that achieves the accuracy percentage as 98.56%.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"17 1","pages":"426-431"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84501014","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

Mind Reader : A Facial Expression and EEG Based Emotion Recognizer 读心术:一个基于面部表情和脑电图的情绪识别器

2018 Second International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2018-02-01 DOI: 10.1109/ICCMC.2018.8487898

Md. Asibul Islam, Amir Hamza, M. Rahaman, J. Bhattacharjee, M. Rahman

{"title":"Mind Reader : A Facial Expression and EEG Based Emotion Recognizer","authors":"Md. Asibul Islam, Amir Hamza, M. Rahaman, J. Bhattacharjee, M. Rahman","doi":"10.1109/ICCMC.2018.8487898","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487898","url":null,"abstract":"At the advent of human age analysis of emotion is one of the most mysterious and unsolved matters. The emotion and thinking pattern are like a paradox. To understand the mental state of a person only the facial expression is not sufficient. So along with facial expression decoding the signals of brain wave completely can be the key of exposure of emotion. This paper focuses on a system to unveil the nature of emotion with the help of two process cases and then comparing both emotions, the fluctuation were calculated if exists any. Additionally combining data of both process cases more accurate emotional state is achieved. First process case is the facial expression recognition technology and the other one is the extraction of EEG signal data from brain. Evaluating and analyzing data of these two processes were combined in this system to gain the fluctuation of emotional state. The outcome values of the combination of these two process cases were also included in this paper. Therefore the proposed system can pave the way of fully transparent emotion recognition in near future and would contribute a lot in the field of medical science, neuroscience, artificial intelligence and defense security.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"41 1","pages":"101-107"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82495172","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

DEVELOPMENTS IN ULTRAWIDEBAND(UWB) ANTENNAS 超宽带(uwb)天线的发展

2018 Second International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2018-02-01 DOI: 10.1109/ICCMC.2018.8487698

Piyush Sharma, Dr. Arti Vaish

引用次数: 1

Design & Performance Analysis of Low Power 1-bit Full Adder at 90 nm node using PTL Logic 基于PTL逻辑的90nm节点低功耗1位全加法器设计与性能分析

2018 Second International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2018-02-01 DOI: 10.1109/ICCMC.2018.8487687

Shibam Swarup Das, Ruby Mishra

引用次数: 0

Computationally Efficient Algorithms and High-Speed ASIC design for Railway Gate Automation 铁路闸门自动化的高效算法与高速ASIC设计

2018 Second International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2018-02-01 DOI: 10.1109/ICCMC.2018.8488089

P. Madhusudan, DB Rathankumar, K. Aishwarya, G. Anitha

引用次数: 0