International Journal of Communication Networks and Information Security最新文献

EXTRACTING ACCURATE DATA FROM MUL A FROM MULTIPLE CONFLIC TIPLE CONFLICTINGINFORMATION ON WEB SOURCES 从web资源上的多个冲突信息中提取准确的数据

International Journal of Communication Networks and Information Security Pub Date : 2014-01-01 DOI: 10.47893/ijcns.2014.1096

Akshata B. Angadi, Karuna C. Gull, Padmashri Desai

引用次数: 0

COLOR IMAGE QUANTIZATION USING GDBSCAN 彩色图像量化使用gdbscan

International Journal of Communication Networks and Information Security Pub Date : 2014-01-01 DOI: 10.47893/ijcns.2014.1091

K. Rahul, S. K. Bhattacharya, Rohit Agrawal

引用次数: 0

IMPROVED KERNEL FUZZY ADAPTIVE THRESHOLD ALGORITHM ON LEVEL SET METHOD FOR IMAGE SEGMENTATION 基于水平集法的改进核模糊自适应阈值算法用于图像分割

International Journal of Communication Networks and Information Security Pub Date : 2014-01-01 DOI: 10.47893/ijcns.2014.1088

T. Saikumar, S. Amit, Y. Dinesh

{"title":"IMPROVED KERNEL FUZZY ADAPTIVE THRESHOLD ALGORITHM ON LEVEL SET METHOD FOR IMAGE SEGMENTATION","authors":"T. Saikumar, S. Amit, Y. Dinesh","doi":"10.47893/ijcns.2014.1088","DOIUrl":"https://doi.org/10.47893/ijcns.2014.1088","url":null,"abstract":"Using thresholding method to segment an image, a fixed threshold is not suitable if the background is rough Here, we propose a new adaptive thresholding method using level set theory. The method requires only one parameter to be selected and the adaptive threshold surface can be found automatically from the original image. An adaptive thresholding scheme using adaptive tracking and morphological filtering. The Improved Kernel fuzzy c-means (IKFCM) was used to generate an initial contour curve which overcomes leaking at the boundary during the curve propagation. IKFCM algorithm computes the fuzzy membership values for each pixel. On the basis of IKFCM the edge indicator function was redefined. Using the edge indicator function of a image was performed to extract the boundaries of objects on the basis of the presegmentation. Therefore, the proposed method is computationally efficient. Our method is good for detecting large and small images concurrently. It is also efficient to denoise and enhance the responses of images with low local contrast can be detected. The efficiency and accuracy of the algorithm is demonstrated by the experiments on the images. The above process of segmentation showed a considerable improvement in the evolution of the level set function.","PeriodicalId":38851,"journal":{"name":"International Journal of Communication Networks and Information Security","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86567270","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

REAL-TIME MULTI-PATIENT MONITORING SYSTEM USING ARM AND WIRELESS SENSOR NETWORK 采用手臂和无线传感器网络的实时多病人监护系统

International Journal of Communication Networks and Information Security Pub Date : 2014-01-01 DOI: 10.47893/ijcns.2014.1089

B. Sirisha, T. Sraddha, K. Vijayanand

{"title":"REAL-TIME MULTI-PATIENT MONITORING SYSTEM USING ARM AND WIRELESS SENSOR NETWORK","authors":"B. Sirisha, T. Sraddha, K. Vijayanand","doi":"10.47893/ijcns.2014.1089","DOIUrl":"https://doi.org/10.47893/ijcns.2014.1089","url":null,"abstract":"Mobile Multi patient monitoring device has become increasingly important in Hospital wards to record real-time data during normal activity for better treatment. However, the current quality and reliability have not been satisfactory due to the size, weight, distance of coverage and also high power consumption. This paper provides a solution for enhancing the reliability, flexibility by improving the performance and power management of the real-time multi-patient monitoring system (MPMS). In the current proposed system the patient health is continuously monitored by the MPMS and the acquired data is transmitted to a centralized ARM server using Wireless Sensor Networks. A ZigBee node is connected to every patient monitor system which will send the patient's vital information .Upon system boot up, the mobile patient monitor system will continuously monitor the patients vital parameters like Heart Beat, body temperature etc and will periodically send those parameters to a centralized server using ZigBee node configured as co-coordinator. If a particular patient’s health parameter falls below the threshold value, a buzzer alert is triggered by the ARM server. Along with a buzzer an automated SMS is posted to the pre-configured Doctors mobile number using a standard GSM module interfaced to the ARM server. The Doctor is continuously connected to the ARM server using GSM Module and he/she can get a record of a particular patient’s information by just posting a SMS message to the centralized ARM server. This will reduce treatment time, cost and power consumption to a greater extent. At the same time, the efficiency of examining ward will be improved by making the system more real-time and robust.","PeriodicalId":38851,"journal":{"name":"International Journal of Communication Networks and Information Security","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82455877","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: 11

“FAME”: FSPYING & SOLVING FIREWALL ANOMALIES “名气”:监视和解决防火墙异常

International Journal of Communication Networks and Information Security Pub Date : 2014-01-01 DOI: 10.47893/ijcns.2014.1098

B. Lakshimibhargavi, V. MARUTI PRASAD

引用次数: 0

FACE RECOGNITION BY LINEAR DISCRIMINANT ANALYSIS 基于线性判别分析的人脸识别

International Journal of Communication Networks and Information Security Pub Date : 2014-01-01 DOI: 10.47893/ijcns.2014.1087

Suman Kumar Bhattacharyya, K. Rahul

{"title":"FACE RECOGNITION BY LINEAR DISCRIMINANT ANALYSIS","authors":"Suman Kumar Bhattacharyya, K. Rahul","doi":"10.47893/ijcns.2014.1087","DOIUrl":"https://doi.org/10.47893/ijcns.2014.1087","url":null,"abstract":"Linear Discriminant Analysis (LDA) has been successfully applied to face recognition which is based on a linear projection from the image space to a low dimensional space by maximizing the between class scatter and minimizing the within-class scatter. LDA allows objective evaluation of the significance of visual information in different features of the face for identifying the human face. The LDA also provides us with a small set of features that carry the most relevant information for classification purposes. LDA method overcomes the limitation of Principle Component Analysis method by applying the linear discriminant criterion. This criterion tries to maximize the ratio of determinant of the between-class scatter matrix of the projected samples to the determinant of the within-class scatter matrix of the projected samples. Linear discriminant groups the images of the same class and separate images of different classes. Here to identify an input test image, the projected test image is compared to each projected training, and the test image is identified as the closest training image. The experiments in this paper we present to use LDA for face recognition. The experiments in this paper are performed with the ORL face database. The experimental results show that the correct recognition rate of this method is higher than that of previous techniques.","PeriodicalId":38851,"journal":{"name":"International Journal of Communication Networks and Information Security","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76717595","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: 32

AN INTELLIGENT OPTIMIZATION TECHNIQUE FOR MANET USING GENETIC ALGORITHM 基于遗传算法的马奈智能优化技术

International Journal of Communication Networks and Information Security Pub Date : 2014-01-01 DOI: 10.47893/ijcns.2014.1090

S. More, Umarfarooque Jahagirdar

引用次数: 3

COMPARATIVE ANALYSIS OF PVM AND MPI FOR THE DEVELOPMENT OF PHYSICAL APPLICATIONS IN PARALLEL AND DISTRIBUTED SYSTEMS PVM和mpi在并行和分布式系统中开发物理应用的比较分析

International Journal of Communication Networks and Information Security Pub Date : 2014-01-01 DOI: 10.47893/ijcns.2014.1097

Srikanth Bethu

{"title":"COMPARATIVE ANALYSIS OF PVM AND MPI FOR THE DEVELOPMENT OF PHYSICAL APPLICATIONS IN PARALLEL AND DISTRIBUTED SYSTEMS","authors":"Srikanth Bethu","doi":"10.47893/ijcns.2014.1097","DOIUrl":"https://doi.org/10.47893/ijcns.2014.1097","url":null,"abstract":"This research is aimed to explore each of these two Parallel Virtual Machine (PVM) and Message Passing Interface(MPI) vehicles for DPP (Distributed Parallel Processing) considering capability, ease of use, and availability, and compares their distinguishing features and also explores programmer interface and their utilization for solving real world parallel processing applications. This work recommends a potential research issue, that is, to study the feasibility of creating a programming environment that allows access to the virtual machine features of PVM and the message passing features of MPI. PVM and MPI, two systems for programming clusters, are often compared. Each system has its unique strengths and this will remain so in to the foreseeable future. The comparisons usually start with the unspoken assumption that PVM and MPI represent different solutions to the same problem. In this paper we show that, in fact, the two systems often are solving different problems. In cases where the problems do match but the solutions chosen by PVM and MPI are different, we explain the reasons for the differences. Usually such differences can be traced to explicit differences in the goals of the two systems, their origins, or the relationship between their specifications and their implementations. This paper also compares PVM and MPI features, pointing out the situations where one may be favored over the other; it explains the deference’s between these systems and the reasons for such deference’s.","PeriodicalId":38851,"journal":{"name":"International Journal of Communication Networks and Information Security","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76815677","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