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Journal of Soft Computing Paradigm最新文献

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SUSTAINABLE DEVELOPMENT AND MANAGEMENT IN CONSUMER ELECTRONICS USING SOFT COMPUTATION 应用软计算的消费电子产品可持续发展与管理
Journal of Soft Computing Paradigm Pub Date : 2019-09-27 DOI: 10.36548/jscp.2019.1.006
Haoxiang Wang
{"title":"SUSTAINABLE DEVELOPMENT AND MANAGEMENT IN CONSUMER ELECTRONICS USING SOFT COMPUTATION","authors":"Haoxiang Wang","doi":"10.36548/jscp.2019.1.006","DOIUrl":"https://doi.org/10.36548/jscp.2019.1.006","url":null,"abstract":"Combination of Green supply chain management, Green product deletion decision and green cradle-to-cradle performance evaluation with Adaptive-Neuro-Fuzzy Inference System (ANFIS) to create a green system. Several factors like design process, client specification, computational intelligence and soft computing are analysed and emphasis is given on solving problems of real domain. In this paper, the consumer electronics and smart systems that produce nonlinear outputs are considered. ANFIS is used for handling these nonlinear outputs and offer sustainable development and management. This system offers decision making considering multiple objectives and optimizing multiple outputs. The system also provides efficient control performance and faster data transfer.","PeriodicalId":127196,"journal":{"name":"Journal of Soft Computing Paradigm","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122562533","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: 18
A STOCHASTIC DEVELOPMENT OF CLOUD COMPUTING BASED TASK SCHEDULING ALGORITHM 一种基于云计算的随机任务调度算法
Journal of Soft Computing Paradigm Pub Date : 2019-09-22 DOI: 10.36548/jscp.2019.1.005
Karunakaran V Dr
{"title":"A STOCHASTIC DEVELOPMENT OF CLOUD COMPUTING BASED TASK SCHEDULING ALGORITHM","authors":"Karunakaran V Dr","doi":"10.36548/jscp.2019.1.005","DOIUrl":"https://doi.org/10.36548/jscp.2019.1.005","url":null,"abstract":"Due to diversity of services with respect to technology and resources, it is challenging to choose virtual machines (VM) from various data centres with varied features like cost minimization, reduced energy consumption, optimal response time and so on in cloud Infrastructure as a Service (IaaS) environment. The solutions available in the market are exhaustive computationally and aggregates multiple objectives to procure single trade-off that affects the solution quality inversely. This paper describes a hybrid algorithm that facilitates VM selection for scheduling applications based on Gravitational Search and Non-dominated Sorting Genetic Algorithm (GSA and NSGA). The efficiency of the proposed algorithm is verified by the simulation results.","PeriodicalId":127196,"journal":{"name":"Journal of Soft Computing Paradigm","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115362308","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
RECURRENT NEURAL NETWORKS AND NONLINEAR PREDICTION IN SUPPORT VECTOR MACHINES 支持向量机中的递归神经网络和非线性预测
Journal of Soft Computing Paradigm Pub Date : 2019-09-18 DOI: 10.36548/jscp.2019.1.004
Jennifer S. Raj Dr, Vijitha Ananthi J Ms
{"title":"RECURRENT NEURAL NETWORKS AND NONLINEAR PREDICTION IN SUPPORT VECTOR MACHINES","authors":"Jennifer S. Raj Dr, Vijitha Ananthi J Ms","doi":"10.36548/jscp.2019.1.004","DOIUrl":"https://doi.org/10.36548/jscp.2019.1.004","url":null,"abstract":"The nonlinear regression estimation issues are solved by successful application of a novel neural network technique termed as support vector machines (SVMs). Evaluation of recurrent neural networks (RNNs) can assist in pattern recognition of several real-time applications and reduce the pattern mismatch. This paper provides a robust prediction model for multiple applications. Traditionally, back-propagation algorithms were used for training RNN. This paper predict system reliability by applying SVM learning algorithm to RNN. Comparison of the proposed model is done with the existing systems for analysis of prediction performance. These results indicate that the performance of proposed system exceeds that of the existing ones.","PeriodicalId":127196,"journal":{"name":"Journal of Soft Computing Paradigm","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127318653","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: 139
STUDY ON HERMITIAN GRAPH WAVELETS IN FEATURE DETECTION 厄米图小波在特征检测中的研究
Journal of Soft Computing Paradigm Pub Date : 2019-09-13 DOI: 10.36548/jscp.2019.1.003
Samuel Manoharan Dr
{"title":"STUDY ON HERMITIAN GRAPH WAVELETS IN FEATURE DETECTION","authors":"Samuel Manoharan Dr","doi":"10.36548/jscp.2019.1.003","DOIUrl":"https://doi.org/10.36548/jscp.2019.1.003","url":null,"abstract":"The enormous information flow in our day today life, initiates the necessitates of the identifying the valuable data that are to be concentrated. In case of image segmentation and signal processing, the feature detection takes up the role of fixating to the data that are to be focused. Thus directing to the pixels or information that are to be concentrated eliminating the time and the energy wastage in examining the pixels or the information’s that are of least important. The paper is the study, focusing on the advantages of utilizing the Hermitian wavelet transform incorporated with the graph wavelet in the feature detection, leading to an accurate identification of the information to be processed further.","PeriodicalId":127196,"journal":{"name":"Journal of Soft Computing Paradigm","volume":"48 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133970416","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: 44
PERFORMANCE ANALYSIS OF GRANULAR COMPUTING MODEL IN SOFT COMPUTING PARADIGM FOR MONITORING OF FETAL ECHOCARDIOGRAPHY 软计算模式下颗粒计算模型在胎儿超声心动图监测中的性能分析
Journal of Soft Computing Paradigm Pub Date : 2019-09-07 DOI: 10.36548/jscp.2019.1.002
Sathesh A Dr
{"title":"PERFORMANCE ANALYSIS OF GRANULAR COMPUTING MODEL IN SOFT COMPUTING PARADIGM FOR MONITORING OF FETAL ECHOCARDIOGRAPHY","authors":"Sathesh A Dr","doi":"10.36548/jscp.2019.1.002","DOIUrl":"https://doi.org/10.36548/jscp.2019.1.002","url":null,"abstract":"The monitoring of fetal heart being essential in the second trimester of the prenatal periods. The abnormalities in the child heart rate has to be identified in the early stages, so as to take essential remedies for the babies in the womb, or would enable the physician to be ready for he complication on the delivery and the further treatment after the baby is received. The traditional methodologies being ineffective in detecting the abnormalities leading to fatalities, paves way for the granular computing based fuzzy set, that requires only a limited set of data for training, and helps in the eluding of the unwanted data set that are far beyond the optimal. Further the methods performance is analyzed to evident the improvement in the fetal heart rate detection in terms of prediction accuracy and the detection accuracy.","PeriodicalId":127196,"journal":{"name":"Journal of Soft Computing Paradigm","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115429386","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: 18
HYBRIDIZED GENETIC-SIMULATED ANNEALING ALGORITHM FOR PERFORMANCE OPTIMIZATION IN WIRELESS ADHOC NETWORK 无线自组网性能优化的杂交遗传模拟退火算法
Journal of Soft Computing Paradigm Pub Date : 2019-09-04 DOI: 10.36548/jscp.2019.1.001
Jennifer S. Raj Dr, Rahimunnisa K Dr
{"title":"HYBRIDIZED GENETIC-SIMULATED ANNEALING ALGORITHM FOR PERFORMANCE OPTIMIZATION IN WIRELESS ADHOC NETWORK","authors":"Jennifer S. Raj Dr, Rahimunnisa K Dr","doi":"10.36548/jscp.2019.1.001","DOIUrl":"https://doi.org/10.36548/jscp.2019.1.001","url":null,"abstract":"The wireless Adhoc network are framed instantaneously utilizing the neighboring available mobile nodes and are capable of reconfiguring and healing. This autonomous behavior of the WANET and their other unique characteristics such as high mobility, limited battery power and dynamic topology changes incorporates several challenges in routing process for the transmission of the information. The traditional methods did not shows improvement and the existing methods also resulted with moderate improvements in performance of the WANET. So the paper proposes a hybridized method for the routing process combining the multi-populated genetic with simulated annealing to identify the shortest path and the fuzzy logic in detection of the malicious activities enhancing the performance of the network preventing the packet losses. The proposed method is validated using the network simulator-2 and its performance is analyzed.","PeriodicalId":127196,"journal":{"name":"Journal of Soft Computing Paradigm","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133854178","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: 21
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