Detecting Suspects from large scale transit records are the ultimate aim of the proposed system. Handling large scale transit records are possible by applying data mining techniques, because, the transit records are too dynamic and frequently increasing. From this dynamic data, a new level of application is developed to detect the suspect/anomaly. This can detect the various anomaly behaviors of passenger data. This helps in various applications like pickpocket suspects, buglers from the large scale transit records. To achieve this, a new technique is proposed. The followings are the contribution of the system. Firstly, a number of important features that may be extracted from transit data records and are potentially useful for distinguishing thieves from regular passengers. In existing, the automatic fare collection.........

Key words: classification, Detecting Suspects, class imbalance, anomaly detection, Multi Model Batch-SVM.

[1]. Yang Zhou , Zhixiang Fang , Qingming Zhan, "Inferring Social Functions Available in the Metro Station Area from Passengers' Staying Activities in Smart Card Data" , International Journal of Geo Information, 2017.
[2]. Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, "Intelligent bus routing with heterogeneous human mobility patterns", Knowledge and Information Systems, 2017.
[3]. Tu, W.; Cao, J.; Yue, Y.; Shaw, S.-L.; Zhou, M.; Wang, Z.; Chang, X.; Xu, Y.; Li, Q. "Coupling mobile phone and social media data: A new approach to understanding urban functions and diurnal patterns". International. J. Geogr.Information Science, 2017.
[4]. El Mahrsi, M.K.; Côme, E.; Oukhellou, L.; Verleysen, "M. Clustering Smart Card Data for Urban Mobility Analysis. IEEE Trans", Intell. Transp. Syst. 2017.
[5]. Ma, X.; Liu, C.; Wen, H.; Wang, Y.; Wu, Y.J. "Understanding commuting patterns using transit smart card data". J. Transp. Geogr. 2017.

E-commerce websites become very popular and tremendous growth in product marketing. Customer satisfaction and effective fulfillment of customer needs are more important in e-commerce applications. To achieve effective results and feedback in e-commerce applications, the need for effectively gathering user reviews and feedback is needed. However, the review collection and analysis became very challenging due to its size and unique nature early review prediction from the posted reviews in real-time large scale e-commerce websites are more challenging. So, the utilization of data mining will resolve these issues. There are numerous approaches and techniques proposed to handle these issues. In this proposal, Discriminate Novel Embedding-Based Ranking (DNE-BR) is proposed for reviewer..........

Keywords: Early Reviewers, Analysis, Prediction, MERM technique.

[1]. Yoon-Joo Park, "Predicting the Helpfulness of Online Customer Reviews across Different Product Types", Seoul National University of Science and Technology, 2018.
[2]. SunilSaumyaa, Jyoti Prakash Singh, "Ranking online consumer reviews", Electronic Commerce Research and Applications, 2018.
[3]. Gerardo Ocampo Diaz and Vincent Ng, "Modeling and Prediction of Online Product Review Helpfulness: A Survey", Association for Computational Linguistics, 2018.
[4]. V. G. D. W. Shih-Lun Tseng, Shuya Lu, "The effect of herding behavior on online review voting participation," in AMCIS, 2017.
[5]. Subhabrata Mukherjee, Kashyap Popat, Gerhard Weikum, "Exploring Latent Semantic Factors to Find Useful Product Reviews, Society for Industrial and Applied Mathmatics, 2017.

E-Procurementsystem is web-based application software if implemented in public procurement might lead to efficiency, transparency, accountability and time and cost reduction. Current e-Procurement implementation in Bangladesh is at the early stage as it is started in 2011. This paper examines the different factors those are identified by experts, researchers, academicians and policy implementers for the improvement of e-Procurement system. In addition, it performs a literature review to propose a conceptual framework through summarizing the variables for making a hypothesis of the research study.

Keywords: Public sector e-Procurement,efficiency, transparency, accountability, hypothesis, conceptual framework.

[1]. ADB, IADB and WB (2004). Strategic Electronic Government Procurement - Strategic Overview: An Introduction for Executives. World Bank. Report no- 88252. Copyright -March 2004.Washington, DC.
[2]. AkandoZaiful Islam (2016). Challenges and Prospects of e-Procurement in Bangladesh: A Study on Roads and Highways Department.Available at: https://bit.ly/2lBk9Rv[Accessed 1 March 2019]
[3]. Becker Jörg (2018). Systems and e-Procurement - Improving Access and Transparency of Public Procurement. European Parliament, Policy Department A: Economic and Scientific Policy, PE 618.990
[4]. Civil Service College (2010). Value for Money in Singapore's Government Procurement Regime. April 26 – 29. Marmora hotel, Taksim square, Istanbul, Turkey. Sixth regional public procurement forum, Pages 2-10.
[5]. CPTU (2011). Bangladesh Electronic Government Procurement (e-GP) Guideline. Dhaka. CPTU, IMED, Ministry of Planning, Bangladesh Gadget, Registered no- DA-1. Proggapon on 1st February 2011.

The traditional systems have been studied in an isolated mode, seek to respond to a specific need and deal with a restricted set of variables. The targets established for energy efficient systems and energysustainability imply that new systems are more comprehensive and combine the various individual systems. Thisnew topology requires a new kind of engineering professionalsprovided with new skills. New engineeringprofessionals need to have not only a set of deep capabilities in a specific area, but also more comprehensiveproficiencies that allow them to understand how to integrate their particular system into a wider functional system. This paper addresses some challenges and issues posed to Higher Education institutions and to engineering professionals of the future.

[1]. UNFCCC (2015). Annex: Paris Agreement and Decision 19/CP.21 Extension of the Mandate of the Least Developed Countries Expert Group. Report of the Conference of the Parties on Its Twenty-First Session, Held in Paris from 30 November to 13 December 2015 Addendum Part Two: Action Taken by the Conference of the Parties at Its Twenty-First Session (FCCC/CP/2015/10/Add.1) and (FCCC/CP/2015/10/Add.3).
[2]. Schofer, E., Meyer, J.W. (2005)."The worldwide expansion of higher education in the twentieth century." American Sociological Review, 70.6 (2005): 898-920.
[3]. Biggs, J. (1999) "Teaching for quality learning at University". Buckingham, UK: Open University Press.
[4]. Felder, R. "How to Improve Teaching Quality", Quality Management Journal, 6(2), pp. 9-21, 1999.
[5]. Ramsden, P. (1987) "Improving teaching and learning in higher education: the case for a relational perspective" Studies in Higher Education,12.3(1987): 275-286.

In Vietnam, coal-fired thermal power has been playing a important role in the national electricity supply. According to the master power plan number 7+, in 2016, the demand of power generation capacity is approximately two times higher than the annual GDP growth rate, and must ensure the efficient use of the domestic hard-to-burn anthracite coal and imported coal. The thermal power plants in Vietnam, especially the old power plants are facing frequent changes in the quality of coal supply from domestic and imported sources, thus the implementation of tests to check and optimize the operating parameters whenever there is a change in coal sources quality, before actual operation, is very important and necessary for the efficient and continuous operation of the plants...........

Keywords: CFD, numerical simulation, coal combustion, boiler, thermal power plant.

[1]. Government Office, Revised Power Planning VII, Hanoi, 18.03.2016.
[2]. Philip J. Stopford, Recent applications of CFD modelling in the power generation and combustion industries, Elsevier, Applied Mathematical Modelling 26 (2002) 351 – 374
[3]. Rajesh Holkar, Dr. Omprakash. D. Hebbal, CFD Anlysis of Pulverised-Coal Combustion of Burner Used In Furnace with Different Radiation Models, Journal of Mechanical and Civil Engineering, Vol 5 (2013) 25-34
[4]. Ryoichi Kurose, Numerical Simulations of Pulverized Coal Combustion, KONA (Review) in press
[5]. Efim Korytnyi, Roman Saveliev, Miron Perelman, Boris Chudnovsky, Ezra Bar-Ziv, Computational fluid dynamic simulation of coal-fired utility boilers: An engineering tool, Fuel 88 (2009) 9-18.

Water, a prime natural resource, is a basic need for sustenance of human civilization.It is one of the most essential and important commodities required for a healthy society.The present investigation is aimed at assessing the current water quality standard along the stretch of Brahmani River in terms of physico-chemical parameters. In this paper, an attempt was taken to evaluate the water quality for both surface water and ground water in and around Rourkela, the Steel City of Orissa. The evaluation involves the study of meteorology, hydrogeology, demography and analysis of physico-chemical parameters. From analyzed data, it was found that, except a few all other parameters are not within the permissible limit. The overall water quality for drinking purposes belongs to poor to very poor quality but the water quality for agricultural purposes are found to be suitable. Panposh area is the major polluting part of surface water in river Brahmani. In most of the areas, the physico-chemical parameters of both ground water and surface water are found to be much higher than the permissible limiting value.

Keywords: Water, Meteorology, Hydrogeology, Demography,Physico-chemical Parameters

[1]. NaikShrikanta. Studies on pollution status of Bondamunda area of Rourkela industrial complex, (2005).
[2]. Pande K. S. and Sharma, S.D. (1999) Pollution Research 18 (3): 335-338.
[3]. Singh T.B., Indubala and Devendra Singh (1999) Pollution Research 18 (1): 111-114.
[4]. Srivastava, R. K. and S. Srivastava (2003). Assessment of water quality of river Gaur at Jabalpur. Indian J. of Env. Protection, 23(3): 282-285.
[5]. Kaur, H., J. Syal and S.S. Dhillon (2001). Water quality index of the river Satluj. Poll Res., 20(2): 199-204.

The surface water quality of Brahmani river system in Odisha was analyzed by applying the multivariate statistical techniques including cluster analysis (CA), factor analysis (FA) and principal component analysis (PCA). Agglomerative hierarchical cluster analysis (AHC) grouped 15 sampling sites into three clusters namely less polluted (LP), moderately polluted (MP), and highly polluted (HP) sites under the similarity of surface water quality parameters. The application of factor analysis/ principal component analysis to the evaluated data set of three different clusters, generates eight PCs for LP and two PCs for MP sites while two PCs were obtained for HP sites with each cases having Eigen values (Component variance values) >1. The PCs obtained from factor analysis indicates that the increase in load of nitrate,Fe, Turbidity, Calcium, Sulphate, Fluorine, Alkalinity, Boron..........

Keywords: Brahmani River, Industrial/Urban sewage, Cluster analysis, Principal Component analysis, Statistical analysis, Water quality.

[1]. APHA-AWWA-WPCF, 1985. Standard Methods for the Examination of Water and Waste Water. American Public Health Association, Washington, DC.
[2]. Almasri, M. L. and J. J. Kaluarachchi (2004). Assessment and management oflongterm nitrate pollution of groundwater in agriculture-domonated watersheds. Journal of Hydrology, I295 (1-4): 225-245.
[3]. Abbasi, S. A. and P.C. Nipaney (1995). An assessment of drinking water quality ofthe open wells in Malappuram coast, Kerala. Poll Res. 14 (3): 313-316.
[4]. Bishwanath, G. and N. Banerjee, 2004. Impact of informal regulation of pollution on water quality in rivers in India, Journal of Environmental Management, 73: 117-130.
[5]. Banerjee S.K., M. Banerjee and K.M. Agarwal (1999). Study of Tikara and Brahmaniriver ecosystems. Env Eco, 17(2): 296-305

Levels of various physico-chemical parameters along with coli form cell units were determined for fourteen water samples in pre-monsoon, monsoon and post- monsoon periods between March-2014 to Feb-2015 to assess the water quality stations of Baitarani River. Most of the parameters were of maximum value in post-monsoon period. The samples were acidic in post-monsoon period where as slightly acidic to alkaline in other periods. The pH, EC, TDS, TH, the major cations and anions in all samples and DO values in most of the samples were well within the BIS and WHO limits. But turbidity, TSS, total and faecal coliform units and in some cases BOD values were beyond the limits indicating..........

Keywords: Water quality index, Contamination, Streams, Physico-chemical parameters, Coliform cell units, Irrigation, Weathering.

[1]. Abdel S, A.M. 2001. Environmental studies on the impact of the drains effluent upon the southern sector of Lake Manzalah, Egypt. J. of Aqua. Biol. and Fish, 5:17-30.
[2]. Abir, S. 2014. Seasonal Variations in Physico-Chemical Characteristics of Rudrasagar Wetland - At Ramsar Site, Tripura, North East, India. Res. J. Chem. Sci., Vol. 4(1), January: 31-40.
[3]. Akhionbare, S.M.O. 2011. Factors in the migration of heavy metals in the otamiri river system. Int. J.of Sc. and Nature, 2(4): 856-860.
[4]. APHA 1998. Standard methods for Examination of Water and Waste water. American Public Health Association, New York, 522.
[5]. BIS:2012. Indian Standard drinking water specifications.IS:10500. Bureau of Indian Standards, New Delhi.