International Conference on Advances in Computing, Communications and Informatics最新文献_第2页

Genetic algorithm combined with support vector machine for building an intrusion detection system 遗传算法结合支持向量机构建入侵检测系统

International Conference on Advances in Computing, Communications and Informatics Pub Date : 2012-08-03 DOI: 10.1145/2345396.2345489

S. Saha, A. Sairam, A. Yadav, Asif Ekbal

引用次数: 17

A particle swarm optimization method for tuning the parameters of multiscale retinex based color image enhancement 基于多尺度视网膜的彩色图像增强参数调整的粒子群优化方法

International Conference on Advances in Computing, Communications and Informatics Pub Date : 2012-08-03 DOI: 10.1145/2345396.2345514

M. C. Hanumantharaju, Manjunath Aradhya, M. Ravishankar, A. Mamatha

{"title":"A particle swarm optimization method for tuning the parameters of multiscale retinex based color image enhancement","authors":"M. C. Hanumantharaju, Manjunath Aradhya, M. Ravishankar, A. Mamatha","doi":"10.1145/2345396.2345514","DOIUrl":"https://doi.org/10.1145/2345396.2345514","url":null,"abstract":"In this paper, a Particle Swarm Optimization (PSO) method for tuning the parameters of multiscale retinex based color image enhancement is presented. The image enhancement using multiscale retinex scheme heavily depends on parameters such as Gaussian surround space constants, number of scales, gain and offset etc. Due to hard selection of these parameters, PSO has been used in order to investigate the optimal parameters for the best image enhancement. The PSO method of parameter tuning adopted for multiscale retinex with modified color restoration (MSRMCR) algorithm achieves very good quality of reconstructed images, far better than that possible with the other existing methods. The presented algorithm is compared with other promising enhancement schemes such as histogram equalization, NASA's multiscale retinex with color restoration (MSRCR), Improved MSRCR (IMSRCR), and Photoflair software. The quality of the enhanced image is validated iteratively using an efficient objective criterion which is based on entropy and edge information of an image. Finally, the quality of the reconstructed images obtained by the proposed method is evaluated using Wavelet Energy (WE) metric. The experimental results presented shows that color image enhanced by the proposed algorithm are clearer, vivid and efficient.","PeriodicalId":290400,"journal":{"name":"International Conference on Advances in Computing, Communications and Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116444524","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

Performance comparison and node failure assessment of energy efficient two level balanced and progressive sensor networks 能效两级平衡与渐进式传感器网络的性能比较与节点故障评估

International Conference on Advances in Computing, Communications and Informatics Pub Date : 2012-08-03 DOI: 10.1145/2345396.2345458

M. Ramesh, A. Sreedevi, K. Kandasamy, P.V.b Rangan

引用次数: 0

Finding gene coherent patterns using PATSUB+ 利用PATSUB+寻找基因相干模式

International Conference on Advances in Computing, Communications and Informatics Pub Date : 2012-08-03 DOI: 10.1145/2345396.2345404

H. A. Ahmed, P. Mahanta, D. Bhattacharyya

引用次数: 0

Neuro-fuzzy expert system for breast cancer diagnosis 用于乳腺癌诊断的神经模糊专家系统

International Conference on Advances in Computing, Communications and Informatics Pub Date : 2012-08-03 DOI: 10.1145/2345396.2345554

Manish Arora, Dinesh Tagra

{"title":"Neuro-fuzzy expert system for breast cancer diagnosis","authors":"Manish Arora, Dinesh Tagra","doi":"10.1145/2345396.2345554","DOIUrl":"https://doi.org/10.1145/2345396.2345554","url":null,"abstract":"Malignant Neoplasm commonly referred as cancer is caused by uncontrolled growth of cells in the body. According to the American Cancer Society nearly 7.6 million people died from cancer during 2007. The true inspiration for this paper comes from the paper \"Implementing automated diagnostic systems for breast cancer detection\" by E. D. Ubeyli, achieved appealing results by using different kinds of Neural Network algorithms such as Combine Neural Network(CNN) Recurrence Neural Network(RNN), Probabilistic Neural Network(PNN), Multilayer Perceptron (MLP) and Support Vector Machine (SVM)). We used a hybrid approach for the same diagnosis. The hybrid system that we used was Neuro-Fuzzy (ANFIS-MATLAB) which is a combination of Neural Network and Fuzzy Logic. As an extension of this research and curiosity to evaluate the hybrid approach we implemented a Fuzzy Inference System(FIS) in MATLAB using fuzzy toolbox. The hybrid system trained on equally distributed dataset outperforms all other approaches discussed in literature. Specifically the sensitivity obtained in our Neuro-Fuzzy system is 100% which outperforms sensitivity of 99.37% in the SVM (Support Vector Machine) model used by E. D. Ubeyli [5].","PeriodicalId":290400,"journal":{"name":"International Conference on Advances in Computing, Communications and Informatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116215602","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: 8

Web analytics and metrics: a survey Web分析和指标:一项调查

International Conference on Advances in Computing, Communications and Informatics Pub Date : 2012-08-03 DOI: 10.1145/2345396.2345552

L. Kumar, H. Singh, Ramandeep Kaur

引用次数: 27

CASH: context aware scheduler for Hadoop CASH: Hadoop的上下文感知调度器

International Conference on Advances in Computing, Communications and Informatics Pub Date : 2012-08-03 DOI: 10.1145/2345396.2345406

K. A. Kumar, Vamshi Krishna Konishetty, K. Voruganti, G. V. P. Rao

{"title":"CASH: context aware scheduler for Hadoop","authors":"K. A. Kumar, Vamshi Krishna Konishetty, K. Voruganti, G. V. P. Rao","doi":"10.1145/2345396.2345406","DOIUrl":"https://doi.org/10.1145/2345396.2345406","url":null,"abstract":"Hadoop MapReduce infrastructure has been designed to solve problems that can be broken down into tasks that can be solved in parallel. The key reason for MapReduce's popularity is because it can run on commodity hardware and it comes with a job scheduler and task management framework. Thus, the MapReduce framework allows the application programmers to focus on their application program and not on the management infrastructure. Job scheduler is a key component of the MapReduce framework as it controls when and where a job's tasks get executed. However, current MapReduce schedulers assume that the Hadoop cluster is homogeneous in nature. In this paper we show that making the scheduler be aware of and leverage the cluster heterogeneity can improve in the overall throughput of the system.\u0000 The design of our scheduler is based on the following two key insights: 1) A large percentage of the MapReduce jobs that are run are periodic in nature. That is, these jobs execute at the same time and roughly have the same characteristics with respect to their CPU, network and disk resource requirements. 2) The nodes in a Hadoop cluster over time become heterogeneous in nature as failed and old nodes are replaced by newer ones. Thus, there is need for a 'Context Aware Scheduler for Hadoop (CASH)' which knows the context i. e. the job characteristics (CPU or I/O bound) and the resource characteristics like Computational or I/O strength of the nodes in the cluster.\u0000 We have implemented CASH algorithm in both a simulator and also in a real Hadoop MapReduce cluster. We quantitatively compare CASH with the existing Hadoop FIFO scheduler and our results show significant improvement in the overall execution time of a set of MapReduce jobs. Additionally, we optimized our CASH algorithm for jobs with same working set data and showed the benefits.","PeriodicalId":290400,"journal":{"name":"International Conference on Advances in Computing, Communications and Informatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126347659","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: 45

Hexagonal groups based key management using deployment knowledge in wireless sensor networks 无线传感器网络中基于六角形组的密钥管理

International Conference on Advances in Computing, Communications and Informatics Pub Date : 2012-08-03 DOI: 10.1145/2345396.2345460

S. Thampi, Nithya Aniyan, K. Chitharanjan

引用次数: 0

Ultra low power device to track environmental sensitive items in transit 超低功耗设备，跟踪运输中的环境敏感物品

International Conference on Advances in Computing, Communications and Informatics Pub Date : 2012-08-03 DOI: 10.1145/2345396.2345581

C. Maity, C. Garg, Ashutosh Gupta

引用次数: 1

Efficient dynamic itinerary and memory allocation for mobile agents 移动代理的高效动态行程和内存分配

International Conference on Advances in Computing, Communications and Informatics Pub Date : 2012-08-03 DOI: 10.1145/2345396.2345464

M. V. Prem, S. Swamynathan

{"title":"Efficient dynamic itinerary and memory allocation for mobile agents","authors":"M. V. Prem, S. Swamynathan","doi":"10.1145/2345396.2345464","DOIUrl":"https://doi.org/10.1145/2345396.2345464","url":null,"abstract":"Recently, the distributed and mobile agent concept has become a new computing paradigm in the Internet distributed computing. Itinerary planning is one of the important requirements for mobile agents in completing the given task efficiently. The static itinerary planning may not be the best approach in real network environments as the status of network components are subject to change dynamically. Dynamic itinerary planning makes the agent to change the itinerary dynamically according to the current state of network. For an information retrieval application, the main issue is to find an optimal itinerary for the mobile agent in order to achieve the efficient and effective data collection. Further, for a host to accommodate a remote agent, it must be ensured that the work load of the host is manageable. This paper provides an environment that selects the next optimal host for the mobile agent to visit by requesting the available directory services on the fly. For a host, to accommodate the incoming agents and to maintain work load, this paper provides a mechanism that either destroys the agents for which the task is completed or transferred to secondary memory if the mobile agent is waiting for an event to occur. The presented work is tested in a web environment and the results obtained are more encouraging in claiming that this work provides an efficient dynamic itinerary plan for the migration and sufficient space at the host for the execution.","PeriodicalId":290400,"journal":{"name":"International Conference on Advances in Computing, Communications and Informatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128178314","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