| The Role of Data Mining in a Smart City: A literature Review |
| Pages: 83-87 (7) | [Full Text] PDF (322 KB) |
| A Rajaei,Z Moghadam, A Poodinehmoghadam, E Sargolzaei |
| PhD of Computer science, Computer engineer Department, Velayat University of Iranshahr, Iranshahr, IranMSc Student of Software Engineer, Hatef University, Zahedan,Zahedan, IranMSc of Software Engineer, Zahedan, Iran |
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Abstract - In cities with old structures, citizens spend too much time doing repetitive and useless activities such as waiting in lines, traveling long distances to buy goods or receive services, and being stuck in traffic jams. There are other problems such as air pollution, environmental issues, old structures, nonstandard urban infrastructures, and telecommunication infrastructures.To rise to these challenges, a city needs to have smart infrastructures and components including smart economy, smart transportation, smart environment, smart citizens, smart lifestyle, and smart administration. To design such infrastructures and components in a smart city, there should be a tool which can process the stored data and provide the resultant information for the government and users. In this regard, data mining is an effective tool which has a major role in designing a smart city and processing big data.This paper reviews previous papers on the smart city and the applications of data mining by searching for keywords such as smart city, electronic city, data mining, and the smart components of a smart city in Farsi and English databases. Then smart components, the infrastructures of a smart city, and the role of data mining in developing a smart city are investigated after presenting concepts and definitions. Although it is not possible to point out all the requirements and barriers, this paper may be able to present a general view of a smart city and the responsibilities of every citizen and the government for life in a smart city; therefore, all the citizens are provided with the path towards comfort and welfare. |
| Index Terms - Smart City, Electronic City, Data Mining, Designing a Smart City |
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C itation - A Rajaei,Z Moghadam, A Poodinehmoghadam, E Sargolzaei. "The Role of Data Mining in a Smart City: A literature Review." International Journal of Computer Science and Software Engineering 7, no. 4 (2018): 83-87. |
| A Framework for Secure Human Healthcare Monitoring Mechanism in Wireless Body Area Networks |
| Pages: 89-93 (5) | [Full Text] PDF (467 KB) |
| V Sethupathi, EGDP Raj |
| Research Scholar, School of Computer Science, Engineering and Application, Bharathidasan University, Trichy, Tamilnadu, IndiaAssistant Professor, School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy, Tamilnadu, India |
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Abstract - Environment of next generation purely depends on various sensors and devices .Wireless Body Area Network (WBAN) is a technology that can be used in Health Care Monitoring system. Nowadays, many researchers in computer science are focusing towards Healthcare Services and there are various issues that have been raised in WBAN. WBAN is a dynamic network with many sensor nodes in and around the human body, which the doctors can used to monitor the patient’s physical status. Here patient’s medical data can be transmitted through wireless channel, during this transmission of data, there is opportunity for security vulnerability .In this paper, a security framework model is proposed. This framework model can be used to protect the patient’s private healthcare data. This turn as a guide for providing security and privacy protection in WBAN. |
| Index Terms - Healthcare, Wireless Body Area Network, Security, Framework |
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C itation - V Sethupathi, EGDP Raj. "A Framework for Secure Human Healthcare Monitoring Mechanism in Wireless Body Area Networks." International Journal of Computer Science and Software Engineering 7, no. 4 (2018): 89-93. |
| Algorithms for Automating Artifact Attribute Classification of Software Systems |
| Pages: 94-98 (5) | [Full Text] PDF (244 KB) |
| VK Reddy, AA Rao |
| Department of Computer Science & Engineering, JNTUA College of Engineering, Anantapur, IndiaProfessor in Department of Computer Science & Engineering, JNTUA College of Engineering, Anantapur, India |
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Abstract - Software systems generally involve a number of phases and tend to evolve over a period of time. Several revisions of individual artifacts which make up the system take place during the evolution process. The revisions and refinements are captured and maintained as different versions using configuration/version managem-ent tools. A key issue in the version management of object oriented software system is classification of attributes of an artifact. Evolution needs to be captured, for capturing the evolution we need to maintain the various artifacts of software systems. For this purpose the behavior of the artifacts to be understood properly. This is possible through various attributes of artifacts. Presently attributes of an artifact are categorized into two different types called versioning and non-versioning. Versioning attributes govern the behavior of an artifact and non versioning attribute do not. This paper proposes an algorithms for automating the process of determining the versioning and non-versioning functionalities of the above classification. |
| Index Terms - Change Propagation, Equivalent Change, Version Change, and Version Management |
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C itation - VK Reddy, AA Rao. "Algorithms for Automating Artifact Attribute Classification of Software Systems." International Journal of Computer Science and Software Engineering 7, no. 4 (2018): 94-98. |