Int. J. Adv. Intell. Paradigms最新文献_第3页

2n Factorial Design of View of Thermal Images for Detection Correlation Coefficient Variants Factors of Object for Environmental Issues 环境问题中物体相关系数变异因子检测的热图像视图析因设计

Int. J. Adv. Intell. Paradigms Pub Date : 2020-04-16 DOI: 10.1504/ijaip.2020.10028511

P. Mukilan, Mikias Hailu Kebede, N. Kumar

引用次数: 0

Residential load scheduling considering maximum demand using binary particle swarm optimisation 考虑最大需求的住宅负荷调度的二元粒子群算法

Int. J. Adv. Intell. Paradigms Pub Date : 2020-04-16 DOI: 10.1504/ijaip.2020.10028510

T. Remani, E. A. Jasmin, T. Ahamed

引用次数: 1

Factors influencing effectiveness of testing applications in cloud using regression testing: a statistical analysis 影响使用回归测试在云中测试应用程序有效性的因素:统计分析

Int. J. Adv. Intell. Paradigms Pub Date : 2020-04-16 DOI: 10.1504/ijaip.2020.10028513

M. S. N. Murthy, V. Suma, C. N. Chandrappa, M. M. Shankar

{"title":"Factors influencing effectiveness of testing applications in cloud using regression testing: a statistical analysis","authors":"M. S. N. Murthy, V. Suma, C. N. Chandrappa, M. M. Shankar","doi":"10.1504/ijaip.2020.10028513","DOIUrl":"https://doi.org/10.1504/ijaip.2020.10028513","url":null,"abstract":"The innovation in the field of software engineering and allied technologies has lined the way in software development life cycle through different strategies and approaches. Further, it guides the software testing process to improve upon by adopting the same such that, the effectiveness and efficiency of software testing can be enhanced to a greater level. The emergence of cloud computing has led to many changes in the way IT industry are operating in regard to software testing. Since software testing plays a major role in producing good and outstanding software products with enhanced customer satisfaction index (CSI), it is essential to focus more on defects related factors. Despite several testing techniques, it is proven that regression testing is most popular in all software industries. Hence, this research is contributing towards identifying, measuring and analysing influential factors of regression testing with respect to defects. This paper focuses on empirical investigation through a case study comprising of two testing environments with projects taken from two different domains in order to analyse the factors influences/significant effectiveness of testing. Investigation indicates that testing applications in cloud has added benefit of detecting defects of high severity in addition to other proven benefits of cloud.","PeriodicalId":151740,"journal":{"name":"Int. J. Adv. Intell. Paradigms","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123068462","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

Threshold algorithm for the cell formation problem 细胞形成问题的阈值算法

Int. J. Adv. Intell. Paradigms Pub Date : 2020-04-13 DOI: 10.1504/ijaip.2020.10028401

T. R. Raguraman, R. Pandian, R. Kamalakannan

引用次数: 1

THD minimisation using genetic algorithm on the nine-level multilevel inverters 利用遗传算法对九电平多电平逆变器进行THD最小化

Int. J. Adv. Intell. Paradigms Pub Date : 2020-04-13 DOI: 10.1504/ijaip.2020.10028398

S. Ravikumar, H. Vennila, B. Ajai

引用次数: 0

Automated transformation of NL to OCL constraints via SBVR 通过SBVR实现NL到OCL约束的自动转换

Int. J. Adv. Intell. Paradigms Pub Date : 2020-04-13 DOI: 10.1504/ijaip.2020.10028395

Murali Mohanan

{"title":"Automated transformation of NL to OCL constraints via SBVR","authors":"Murali Mohanan","doi":"10.1504/ijaip.2020.10028395","DOIUrl":"https://doi.org/10.1504/ijaip.2020.10028395","url":null,"abstract":"This paper presents a neoteric method to automatically generate object constraint language (OCL) constraints from natural language (NL) statements. To support the software practitioners in using OCL, we present a novel method. The aim of this method is to produce a framework so that the user of unified modelling language (UML) tool can write constraints and pre/post conditions in natural language like English and the framework converts such natural language expressions to equivalent OCL statements. Here, the state of art of the two well-known technologies, namely open natural language processing (OpenNLP) and Semantics of Business Vocabulary and Rules (SBVR) are used. OpenNLP is used as a pre-processing phase to process the natural language statements. Pre-processing includes sentence splitting, tokenisation and parts of speech (POS) tagging. Then in the second phase, i.e., the transformation phase SBVR is used to automatically transform the preprocessed natural language statements to SBVR specifications. The main aim of this research is to provide automated tool support for model processing tasks in UML models via SBVR to model transform the input SBVR specifications to OCL specifications as explained in model driven architecture (MDA).","PeriodicalId":151740,"journal":{"name":"Int. J. Adv. Intell. Paradigms","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129940482","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

Improving reliability in MAS by rule-based logic and cryptographic techniques 利用基于规则的逻辑和密码技术提高MAS的可靠性

Int. J. Adv. Intell. Paradigms Pub Date : 2020-04-13 DOI: 10.1504/IJAIP.2020.10018786

P. Mishra, Raghuraj Singh, Vibhash Yadav

{"title":"Improving reliability in MAS by rule-based logic and cryptographic techniques","authors":"P. Mishra, Raghuraj Singh, Vibhash Yadav","doi":"10.1504/IJAIP.2020.10018786","DOIUrl":"https://doi.org/10.1504/IJAIP.2020.10018786","url":null,"abstract":"Mobile agent (MA) is a composition of software paradigm, having the capability to move from one host to another across dynamic network environment and execute task assigned by its user. Reliability is one of the most important issues in mobile agent-based system (MAS) which was addressed by many researchers. In this paper, we enhance the reliability in MAS with the support of intrusion detection system (IDS) and effective routing. Routing is an important process to find optimal path which improves network throughput and reliability. Collision-free (CF) – network graph exploration method is designed for identifying optimal path for MAs. Security is a crucial aspect due to various malicious node activities and must be considered while estimating reliability. In our process, HMAC-SHA1 algorithm is performed for detecting malicious agent and rule-based logic (RBL) is designed to identify malicious host. Further, we calculate reliability of MAS with respect to status of network and its condition which includes link connectivity and malicious node probability. Finally, we are simulating our performance by using various factors such as size of MAS, malicious ratio and number of mobile agents in MAS, etc. These factors are significant to show improved reliability of our proposed system.","PeriodicalId":151740,"journal":{"name":"Int. J. Adv. Intell. Paradigms","volume":"824 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125083907","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

Automatic classification for preventing duplication of online multimedia data in secure cloud infrastructure 自动分类，防止在线多媒体数据在安全云基础设施中的重复

Int. J. Adv. Intell. Paradigms Pub Date : 2020-04-13 DOI: 10.1504/ijaip.2020.10028402

E. Suganya, N. Aravindhraj, S. Sountharrajan, G. Kumar, C. Rajan

{"title":"Automatic classification for preventing duplication of online multimedia data in secure cloud infrastructure","authors":"E. Suganya, N. Aravindhraj, S. Sountharrajan, G. Kumar, C. Rajan","doi":"10.1504/ijaip.2020.10028402","DOIUrl":"https://doi.org/10.1504/ijaip.2020.10028402","url":null,"abstract":"Cloud computing provides various types of software and hardware services collectively working together at different computational environment to the end user through internet. Cloud computing is an emerging technology that provides variety of applications to the end user and cloud services can be accessed from anywhere in the world in secured way whenever required. Nowadays free online hosting websites produce a large amount of multimedia data. It may include images, audios, 2D videos, 3D videos. Some people will use videos and audios in the distributed environment against the copyrights from the original content creators. This will create a large amount of revenue loss for the original content creator. The protection of theses multimedia content is a challenging task. Cloud computing has some security issues like authentication, privacy and data security. Our proposed system will provide highly scalable storage infrastructure in cloud environment. It also protects the multimedia content by creating a depth signature and classifying them with duplicated contents using SVM classifier. This proposed system will avoid the security issues in multimedia content and it will increase the revenue for original content creator. The proposed system can work in both public and private cloud infrastructure.","PeriodicalId":151740,"journal":{"name":"Int. J. Adv. Intell. Paradigms","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117347420","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

A novel system for early detection of breast cancer using area and entropy features of malignant tumour 一种基于恶性肿瘤面积和熵特征的乳腺癌早期检测新系统

Int. J. Adv. Intell. Paradigms Pub Date : 2020-04-13 DOI: 10.1504/ijaip.2020.107535

M. Varalatchoumy, M. Ravishankar

引用次数: 2

Semantic linkage of source content dynamically with virtual documents using Wikipedia in Hadoop 在Hadoop中使用Wikipedia动态地将源内容与虚拟文档进行语义链接

Int. J. Adv. Intell. Paradigms Pub Date : 2020-04-13 DOI: 10.1504/ijaip.2020.10028400

R. Priyadarshini, L. Tamilselvan

引用次数: 0