iosr-JCE   Volume-21 ~ Issue-5 ~ Sep-Oct 2019

Abstract: Electronic Voting can deliver free and fair elections as well as ensuring on time release of results. One factor fueling the adoption of e-voting is the access to internet and more so GSM network, by majority of the world population. However, with this adoption of electronic voting around the world, some concern are being raised regarding the process. Technically, it's hard to achieve availability, integrity and confidentiality which are the pillars of a free and fair elections while using electronic voting. It is because of this issues that the purpose of this research was to examine security shortcomings for existing web based electronic voting frameworks. A mixed research design was used for the study covering both descriptive survey design and content. The target population..........

[1]. Al-Amen, A., & Talab, S. A. (2013). E- Voting systems Security Issues. International Journal of Networked Computing and Advanced Information Management, 25-34.
[2]. Bungale, P. P., & Sridhar, S. (2013). Requirements of an Electronic Voting System. Unplublished Thesis, Department of Computer Science, The Johns Hopkins University.
[3]. Drew Springall, T. F. (2014). Security Analysis of the Estonian Internet Voting System. University of Michigan, Ann Arbor, MI, U.S.A, 1-13.
[4]. Dwomfuo, O. G., & Paatey, E. (2011). The Design of an Electronic System. Research Journal of Information Technology 3 (2), 91- 98.
[5]. NPR. (2013, March 9th ). all tech considered, Tech Culture and Connection. Retrieved from all tech considered: http://www.npr.org/sections/alltechconsidered/2013/03/09/173905754/how-kenyas-high-tech-voting-nearly-lost-the-election

Abstract: In most cases, people have a chance to miss their bus timings and there be a possibility of missing the reporting time to their institution. We here aim to overcome this problem by providing an application for the institution and its students. This can be done using the major technologies like navigation and easy to use interface application. The above problem can be overcome by using a software application. The proposed system provides the administrator access of both the end-user and driver application to the institution. When the student starts to track his/her bus location there would be a result of the navigation page of each bus and meanwhile, the concerned driver would access the application on his journey. Further, we add the facility to calculate the timing remaining for the driver to reach the destination when he comes to know that a particular student is late to his/her bus stage. This is done through programming inside the application facilitating the accurate journey timing. This system thus provides.........

Keywords:Navigation, GPS, Bus stage, driver, institution

[1]. Amit Kushwaha, Vineet Kushwaha, "Location Based Services using Android Mobile Application", ISSN: 2231-1963, 2009.
[2]. Analysis of Bus Tracking System Using Gps on Smart Phones, Mr.Pradip Suresh Mane, Prof.Vaishali Khainar, www.isrojournals.org.
[3]. https://www.codebrainer.com/blog/registration-form-in-android-check-email-is-valid-is-empty
[4]. Mobile Application for College Bus Tracking, G. Jemilda1, R. Bala Krishnan2, B. Johnson3, G. Linga Sangeeth4"International Journal of Computer Science and Mobile Computing", A Monthly Journal of Computer Science and Information Technology.
[5]. Bus Navigation System Using Gsm-Gps Technology Reshma.M*, Saravanakumar.G**, Gandhiraj.S***, ISSN: 2248-9622, pp.14-16.

Abstract: Educational data mining (EDM) is intended to uncover trends and patterns hidden in the thousands of data sets in an educational system and has drawn the attention of academic authorities for being able to bring benefits to educational institutions. This work aims to investigate in more detail the mining of educational data and to study student behaviour.With the rapid development of the Internet and communication technology, online education has drawn more and more attention, online learning platforms, on the other hand, store massive learner behavioral data and educational data. How to effectively analyse and utilize the data to improve the quality of online education has become a key issue urgently needed to be solved in the field of big data in education (BDE), educational data mining (EDM) is exactly an effective and practical method and means of applying BDE. Therefore, EDM is an important academic research hotspot in the field of EDM.

Keywords: Educational Data Mining (EDM), Iterative Dichotomiser (ID3)

[1]. JunfengGuo ; Handan Hou, "Statistical Decision Research of Long-Term Deposit Subscription in Banks Based on Decision Tree", 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), Jan. 2019
[2]. R. Lawrance ; V. Shanmugarajeshwari, "An assay of teachers' attainmentusing decision tree based classification techniques," 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT), April 2017
[3]. Lei Zuo ; Junfeng Guo,,Customer Classification of Discrete Data Concerning Customer Assets Based on Data Mining, "2019 [4]. TismyDevasia ;Vinushree T P ; Vinayak Hegde, "Prediction of students performance using Educational Data Mining",2016 International Conference on Data Mining and Advanced Computing (SAPIENCE),March 2016.
[5]. AkanshaMishra ;Rashi Bansal ; Shailendra Narayan Singh, Educational data mining and learning analysis ": 2017 7th International Conference on Cloud Computing, Data Science & Engineering – Confluence, June 2017

Abstract: Artificial intelligence and technological advancements are exceptionally influenced the entire society and mankind. In today's highly competitive global market, winning requires near perfect quality. Although most mature organizations operate their processes at very low defects per million opportunities, customers expect completely defect free products.All research works present different methodologies without showing clear guidelines or key issues for the development of intelligent completely defect free products for Business Intelligence. Artificial neural networks, fuzzy logic systems and Bayesian belief networks are AI techniques Information Extraction for Scheming Processes with Business Intelligence Improvement Using AI.

Keywords: Artificial Intelligence, Business intelligence,fuzzy logic,artificial neural networks

[1]. Ahmad, A. S. (2017). Brain inspired cognitive artificial intelligence for knowledge extraction and intelligent instrumentation system. 2017 International Symposium on Electronics and Smart Devices (ISESD). doi:10.1109/isesd.2017.8253363
[2]. Strohmeier, S., & Piazza, F. (2015). Artificial Intelligence Techniques in Human Resource Management—A Conceptual Exploration. Intelligent Systems Reference Library, 149–172. doi:10.1007/978-3-319-17906-3_7
[3]. Abellan-Nebot, J. V., & Romero Subirón, F. (2009). A review of machining monitoring systems based on artificial intelligence process models. The International Journal of Advanced Manufacturing Technology, 47(1-4), 237–257. doi:10.1007/s00170-009-2191-8
[4]. Arendarenko, E., &Kakkonen, T. (2012). Ontology-Based Information and Event Extraction for Business Intelligence. Lecture Notes in Computer Science, 89–102. doi:10.1007/978-3-642-33185-5_10
[5]. Hamadache, M., Jung, J. H., Park, J., &Youn, B. D. (2019). A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning. JMST Advances. doi:10.1007/s42791-019-0016-y.

Abstract: Representation and reasoning about spatial data is a key problem in artificial intelligence, and has wide applications in the fields of geographic information system, computer vision, autonomous robot navigation, scene understanding, human action recognition, and so on. The reason for this increasing interest in using Qualitative Spatial Relations as formalism to abstract large amounts of video data is to obtain high level conceptualisations and cognition. This paper summarizes the use of key spatial calculi representing different types of spatial relationships between objects in video processing.

Keywords: Qualitative spatial reasoning, topology, orientation, direction of motion,distance.

[1]. Cohn, Anthony G. and JochenRenz. ―Qualitative Spatial Representation and Reasoning.‖ Handbook of Knowledge Representation (2008).
[2]. A.G. Cohn, D.A. Randell, and Z. Cui.Taxonomies of logically defined qualitative spatial relations.Int. J. of Human-Computer Studies, 43:831–846, 1995.
[3]. M. Donnelly. A formal theory for reasoning about parthood, connection, and location.Artificial Intelligence, 160(1–2):145–172, 2004.
[4]. N. Asher, L. VieuToward a geometry of common sense: a semantics and a complete axiomatization for mereotopology Proc. of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI'95, Morgan Kaufmann (1995), pp. 846-852
[5]. Frank, Andrew. (1996). Qualitative Spatial Reasoning: Cardinal Directions as an Example. International Journal of Geographical Information Science. 10. 269-290. 10.1080/026937996138043.

Abstract: This article discusses the importance of the thermal capacity of the materials used as architectural fence, as these determine the degree of interior comfort inside the homes so built. The new policies taken by Mexico have given significant importance to the conservation and restoration of the environment. The research of the soil usage in construction, is taken up again due to its natural properties. That is how this investigation approaches the use of rammed earth as an analysis unit, to test its advantages as a natural temperature regulator and how it influences the thermal comfort in houses with a warm humid weather as in Tampico, Tamaulipas.

Keywords: Rammed earth, thermal retardation, housing

[1]. Bunyesc, J. (10 de 11 de 2017). Ecoconstrucción. Obtained from https://www.ecoconstruccion.net/articulos-online/la-inercia-termica-rapida-o-lenta-versus-aislamiento-termico-base-del-confort-termico-UUxOa
[2]. Gallegos Sánchez, Diana Patricia. (2014). Construcción sustentable, análisis de retraso térmico a bloques de tierra comprimidos. Mexico: UAT.
[3]. Gobierno Federal Mexicano. (2014). Programa Nacional de vivienda 2014 - 2018. México: DOF.
[4]. Minke, G. (2005). Manual de construcción con tierra, La tierra como material de construcción y su aplicación en la arquitectura. Editorial fin de siglo. Uruguay.
[5]. Neves, C., & Faría, B. (2011). Técnicas Mixtas. En C. Neves, & B. F. Faría, Técnicas de Construcción con tierra (págs. 61 - 71). Brazil: Bauru: FEBUNESP.

Abstract: Secondary education is an important aspect of learning that must be properly structured and executed. Existing approaches aimed at improving secondary education especially in developing countries usually focus on identifying and solving the challenges of education from perspective of funds, infrastructure, government policies and teacher qualification. This paper rather addresses other challenges such as poorly designed time table and inconsistent learning pattern within schools. The paper therefore suggests an (n×n)/k Trojan Semi-Latin square model specifically for case where n = 5 and 2<= k <= n. An experiment was carried out using a school that teaches 15 subjects with 3 classes for Art and Science field of study respectively. The subjects used are based on the current WAEC syllabus for secondary education.

[1]. Gbenu, J. P. (2012), "State of Nigerian Secondary Education and the Need for Quality Sustenance", Greener Journal of Educational Research ISSN: 2276-7789 Vol. 2 (1), pp. 007-012
[2]. Adegbesan, S.O. (2011), "Establishing quality assurance in Nigerian education system: Implication for educational managers", Educational Research and Reviews Vol. 6(2), pp. 147-151, Available online at http://www.academicjournals.org/ERR ISSN 1990-3839
[3]. Becket, N., & Brookes, M. (2005). Analysing quality audits in higher education. Brookes eJournal of Learning and Teaching, 1(2), 1-12.
[4]. Marcro Spruit, & Tiffany Adriana. (2015) "Quantifying Education Quality in Secondary Schools"
[5]. Ogundele, G.A, Olanipekun, S.S, Aina, J.K. (2014). "Causes of Poor Performance in West African School Certificate Examination (WASCE) in Nigeria", Scholars Journal of Arts, Humanities and Social Sciences ISSN 2347-5374.

Abstract: Parallel counters are enter components in numerous number juggling circuits, particularly quick multipliers. Another paired counter plan is proposed. It utilizes Multiplexer (MUX) based full adder circuit, which aggregate the greater part of the "1" bits together. In proposed structure one xor obstruct in traditional snake is supplanted by multiplexer square with the goal that the basic way delay is limited. Counter-based systems have been proposed for use in worked in test set installing. A solitary counter or various counters might be utilized with one or different seeds.......

Keywords: Multiplexer, Counter, Full adder, Fault tolerant, stacking, Read Only Memory (ROM);

[1]. C. S. Wallace (1964), "A suggestion for a fastmultiplier",IEEE Trans. Electron. Comput. vol. EC-13, no. 1, pp. 14–17.
[2]. Dadda |(1965), "Some schemes for parallel multipliers," Alta Freq., vol. 34, pp.349–356.
[3]. Z. Wang, G. A. Jullien, and W. C. Miller (1995), "A new design technique for column compression multipliers," IEEE Trans. Comput., vol. 44, no. 8, pp.962–970.
[4]. M. Mehta, V. Parmar, and E. Swartzlander (1991), "High- speed multiple Design using multi-input counter and compressor circuit" , in Proc. 10th IEEE Symp. Comput. Arithmetic, pp.450.
[5]. S. Veeramachaneni, L. Avinash, M. Krishna, and M. B. Srinivas (2007), "Novel Architectures for efficient (m, n) parallel counters," in Proc. 17th AC Great Lakes Symp. VLSI, pp.188–191..

Abstract: Licas is a distributed framework for building service-based systems. The framework provides a p2p server and more intelligent processing of information through its AI algorithms. Distributed communication includes XML-RPC, REST, HTTP and Web Services. It can now provide a robust platform for building different types of system, where Microservices or SOA would be possible. However, the system may be equally suited for the IoT, as it provides classes to connect with external sources and has an optional Autonomic Manager with a MAPE control loop integrated into the communication process. The system is also mobile-compatible with Android. This paper focuses in particular on the autonomic setup and how that might be used. A novel linking mechanism has been described previously and is considered again, as part of the autonomous framework.

Keywords: distributed framework, service, soa, autonomic, IoT, dynamic linking.

[1] Licas, (2019). http://licas.sourceforge.net/. (last accessed 26/7/19)
[2] Licas DCS, (2019). http://www.distributedcomputingsystems.co.uk/licas.html. (last accessed 26/7/19)
[3] Fowler, M. and Lewis, J. (2014). Microservices. https://martinfowler.com/microservices/. (last accessed 26/7/19)
[4] Papazoglou, M.P., (2003). Service-oriented computing: Concepts, characteristics and directions. In Web Information Systems Engineering, WISE 2003. Proceedings of the Fourth International Conference on, pp. 3-12. IEEE.
[5] Gubbi, J., Buyya, R., Marusic, S. and Palaniswami, M., (2013). Internet of Things (IoT): A vision, architectural elements, and future directions, Future generation computer systems, Vol. 29, No. 7, pp.1645-1660