Data mining is useful in a wide variety of applications, the most unique and popular applications such as anomaly/suspect detection from the large surveillance system. The abnormality detection is performed on various datasets, which has unique challenges and issues. Outlier detection from the Global Positioning System (GPS) and dynamic trajectory data is much more complicated due to its dynamic update nature. This paper reviews the related works of various suspect, anomaly and outlier detection schemes on mobility datasets. Several works proposed in the literature to detect the abnormality from the traveling behavior which is collected from various wireless media. The unique features among high dimensional dynamic datasets are always developed different types of issues. Detecting and analyzing such dynamic features for finding anomaly is carried out by many types of research in different ways such as cluster oriented, context-aware, dimensionality reduction techniques, graph approaches. After a successful analysis of these approaches, this survey gives an outline to tackle the problems of those techniques.

Key words: Outlier Detection, Trajectory Behaviors, Mobility Patterns, Public Safety, Anomaly Detection.

[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]. Bowen Du, Chuanren Liu, Wenjun Zhou, "Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records", ACM, 2016.
[4]. Xianglong Liu, Cheng Deng, "Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search", IEEE, 2016.

The major goal of the paper is to show various kinds of Security attacks, their belongings and barrier classifications in Wireless Network which is vulnerable to security attacks and dangers because of its attributes and impediments. Security attacks are recognized and characterized from alternate points of view for example in light of network layer in which the Attack happens, explicitly network layer shrewd security highlights and the network security fundamentals, in view of assailant area, in light of transmission of data, in view of various convention stack layers and so on and the distinctive safety efforts that can be applied to safeguard against various attacks. This review paper centers around different parts of various security attacks, their belongings and protection instruments relating to each Attack and so forth. So this paper causes specialists to have an exceptionally solid thought regarding the security issues, existing attacks and they can likewise utilize the thoughts and ideas to assemble increasingly secure wireless network framework in future. A course can be acquired to grow new security systems to ensure new potential attacks alongside existing ones.

Keywords: Wireless Network, security, organized, unstructured, CIA, dynamic Attack, inactive Attack, convention stack.

[1]. S. Misra, I. Woungang and S. C. Misra, "Guide toWireless Networks", c Springer-Verlag London Limited, pp. 1, 2009
[2]. J. Zheng and A. Jamalipour, "Wireless Networks A Networking Perspective", A John Wiley & Sons, Inc., Publication, pp. xxiii-2, 2009
[3]. C. S. Raghavendra, K. M. Sivalingam and T. Znati, "wireless networks", Kluwer academic publishers New York, Boston, Dordrecht, London, Moscow, pp. xiv, 2004
[4]. M. U. Aftab, O. Ashraf, M. Irfan, M. Majid, A. Nisar and M. A. Habib, "A Review Study of Wireless Networks and Its methods:
[5]. Kavitha, T., and D. Sridharan, "Security vulnerabilities in wireless sensor networks: A survey", Journal of information Assurance and Security 5.1 (2010): 31-44.

The present investigation is aimed at assessing the concentration of heavy metal ions along the stretches of Brahmani river basin. Fifteen samples were collected along the stretches of Brahmani basin during the period 2000 to 2015. The purpose of this study was to estimate nine heavy metals (Cu, Zn, Cd, Pb, Hg, Fe, As, Ni and Cr) in the surface water of the BrahmaniRiver, one of the most important rivers in Odisha, India. In the selected research area, the Brahmani River is receiving the domestic, industrial, and municipal waste waters/effluents all along its course. All in all, the ascendancy of the analyzed heavy metals in the surface water of Brahmani followed the sequence: Cu>Ni>Pb>Cr>As>Fe>Zn>Hg>Cd. My findings highlighted the deterioration of water quality in the rivers due to industrialization, mining and human activities.

Keywords: Brahmani River, Heavy metals, Cu, Zn, Cd, Pb, Fe, As, Hg, Ni and Cr.

[1]. Indian standard specifications for drinking water, IS: 10500, 1993.
[2]. IS: 10500.
[3]. IS: 3025 (Part 21) – 1983: 1-3.
[4]. IS: 3025 (Part 15) – 1984: 1-2.
[5]. Jain, P. K. (1999). Assessment of water quality of Khnop reservoir in Chatarpur, MPIndia. Eco EnvConserv, 5(4): 401-403.

It is rightly spoken "Climate change eclipses the planet earth". The issue is so predominant now, it gradually restricting our social life, peace and harmony. Number of natural calamities like flood, cyclone, drought, severe heat and cold wave, rising of sea level, melting of snow etc is some of the ready effects directly felt in different parts of the globe. The cause may be many beginning from urbanization to modern life style. But sometimes these may be part of our growth. So there may be trade off or compromise between growth and balance with nature.............

Keywords: Climate, Natural calamities,Urbanization, Rainfall, Time series, Kendall rank test.

[1]. Adams, Richard M. , Hurd, Brian H. , Lenhart Stephanie , Leary, Neil., (1998) Effects of global climate change on agriculture:an interpretative review CLIMATE RESEARCH Clim Res, Vol. 11: 1,20,21
[2]. Adamowski, K., and Bougadis, J. (2003). "Detection of trends in annual extreme rainfall." Hydrol. Processes, 17, 3547–3560.
[3]. Aggarwal, P. K. (2007) Climate change: implications for Indian agriculture. Hydrology Review 22, 37–46. Roorkee: Indian National Committee on Hydrology.
[4]. Ahmad, J., Alam, D., & Hassen, S., Impact of Climate Change on Agriculture & Food Security in India, : 131-136

Cloud computing is a rising as additional processing worldview in the medical part other than different business. Storing the medical information in cloud makes the treatment effective by recovering patient's medical history from the database. This framework gives a situation where patient's records are stored and it will be referenced by the specialists to improve the efficiency of the treatment. This handles the medical history of every person of the nation and gives access to every single enlisted hospital to peruse or refresh the information. The hospital which accesses the database must be enlisted and more likely than not got a permit. Also, even any hospital staff can peruse paper documents which shouldn't be seen, as long as they have physical access to the record. So in this work, an endeavor is made to give top of the line security to the patient's delicate information. At whatever point the patient go for a treatment, their medical information will be stored into the database utilizing their recognizable proof number. We propose a plan to help undertakings to effectively share secret information on cloud servers utilizing Hierarchical attribute based encryption algorithm.

Keywords: Block chain, Data Privacy, Electronic Health Records, Patient-Centric.

[1]. Multiple Authorities for Blockchain inElectronic Health Records SystemsRUI GUO, HUIXIAN SHI, QINGLAN ZHAO, and DONG ZHENG
[2]. IlyaSukhodolskiy, Sergey Zapechnikov, ―A blockchain-based access control system for cloud storage‖, 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), Moscow, 2018, pp. 1575-1578.
[3]. Maithilee Joshi, Karuna P. Joshi, and Tim Finin, ―Attribute-Based Encryption for Secure Access to Cloud-Based EHR Systems‖, 2018 IEEE International Conference on Cloud Computing.
[4]. Javier Herranz, Fabien Laguillaumie, BenoˆıtLibert, and Carla Ra`fols, ―Short Attribute-Based Signatures for Threshold Predicates‖

In this paper an attempt was made to establish Non destructive Evaluation Technique(NDE)for assessment of compressive strength of in-situ concrete by conducting UPV and Rebound Hammer tests on Various concretes of mixes M15, M20, M25, M30.The various concretes like Plain concrete, Recycled Aggregate concrete, concrete with replacement of fly ash with10%,20%,30%.were designed as per Sp23.Concrete cubes of size 150x150x150mm were cast and tested for compressive strength at 7days,14 days,28 days,56 days and 90 days. Before conducting compression test, UPV test and Rebound Hammer tests were conducted on the same cubes for assessment of compressive strength .A comparative study was made among the compressive strength, Pulse velocity, and Rebound............

Keywords: Non destructive evaluation, in-situ concrete, UPV test, Rebound Hammer test, Regression curves

[1]. N.J.Carino, (1994) "Non Destructive Testing of Concrete: History and Challenges in concrete technology Past Present and Future", ed. P.K.Mehta,SP-144-30, ACI, Detroit, pp.623-678
[2]. Francois Buyle-Bodin, (2003)" Contribution of coupling non-destructive methods for diagnosis of concrete structures", International symposium (NDTCE-2003), p.p.264-272
[3]. Anish Kumar,etal, (2002),"NDT&E International,Vol.35, pp.213-220
[4]. BTI, Non Destructive testing of concrete structures, 2001,www.mint.gov
[5]. T.Jayakumar,etal, (2003) "Integrity assessment of concrete structures using Non Destructive Evaluation Techniques", INCONTEST -2003, p.p175-184
[6]. M.C Nataraja,T.V.Anil Kumar,(2003) "A study on Plain and fly ash concrete using Non Destructive testing Techniques", INCONTEST -2003, p.p137-147

The corrosion characteristic of Mild Steel in 1.0 molar HCl using Locust Bean Pod extract as corrosion inhibitor was investigated employing gravimetric measurement. The research was carried out at a constant time of twenty-four (24) hours and varying inhibitor concentrations and temperature in the range of 0.5 - 2.5% v/v and 40 - 60oC respectively. Results obtained revealed that Locust Bean Pod is a moderate corrosion inhibitor for Mild Steel with maximum concentration and inhibition efficiency of 2.5% v/v and 72.86% respectively at 400C. Thermodynamic parameters such as heat of adsorption, free energy and activation energy were obtained from experimental data. The inhibitor was physically absorbed unto the surface of Mild Steel blocking more active sites thereby inhibiting corrosion.

Keywords: Corrosion Inhibitor, Hydrochloric Acid, Locust Beans Pod Extract, Mild Steel

[1]. Schmitt G. Application of inhibitors for acid media. Bri. Corros. J.1984; 19: 165-166.
[2]. Lagrenee M, Mernari B, Bouanis M, Traisnel M, Bentiss F. Study of the mechanism and inhibiting efficiency of 3, 5-bis (4-methylthiophenyl)-4H-1,2,4-trazole on mild steel corrosion in acid media. Corros. Sci. J. 2002; 44: 573-588.
[3]. Sykes JM. 25 years of progress in electrochemical method. Bri. Corros. J. 1990; 25: 175-183.
[4]. Cheng XL, Ma HY, Chen S, Yu R, Chen X, Yao HY. Corrosion of stainless steel in acid solutions with organic sulfur-containing compounds. Corros. Sci. 1999; 41: 321-333.
[5]. Thomas JGN. Proc of the 5th European Symp. on Corrosion Inhibitor, Ann. Univ. Ferrara, Italy, N. N. Sez V, Sopl. N. 2001; 8: 99.

The Nile River is an essential resource to maintain environmental balance in Egypt, it supplies drinking water, low cost transportation, irrigation, hydropower, and provide livelihoods. The conjunction between river human interventions and morphological changes impacts show real challenges to the government and researchers. The design of information system to observe these impacts is necessary and required for Nile River sustainable development, management, and planning. This paper introduces the potential of GIS in developing a comprehensive Nile River information system (NRIS). This system is the key factor to facilitate and attain efficient decision making to the responsible of water management organizations. Scripts using python language is developed enabling the decision..........

Keywords: Geographical Information Systems GIS, Python, Decision Support System (DSS), Nile River, Geo-database

[1]. Kamal, N.(2017). Inland Electronic Navigation Charts For Enhancing The Efficiency Of Navigational Waterway In The Nile River Case Study- El-Wasta Reach. International Water Technology Journal, IWTJ, (December), Vol. 7–No.4,
[2]. Kamal, N., & Sadek, N. (2017). Evaluating and analyzing navigation efficiency for the River Nile (Case study: Ensa-Naga Hamady reach). Ain Shams Eng Journal, https://doi.org/10.1016/j.asej.2017.08.006.
[3]. Weizhong Li ; & Wen Yanping (2009). The GIS-Based Information System of Geological Hazard Reconnaissance, WRI World Congress on Computer Science and Information Engineering Conference. IEEE Xplore. Los Angeles, CA, USA 31 March-2 April.
[4]. Bernhardsen, T (2002).: Geographic information systems: an introduction. John Wiley & Sons, Inc., New York
[5]. Amdahl, G.(2001). Disaster Response: GIS for Public Safety. ESRI Press, Redlands.

The sensitive data information leak of on systems has a big threat to system data. Research show that the encryption on files and communications due to human errors is one of the leading causes of information loss. However, finding the exposure of sensitive data information is important due to data transformation in the content. Transformations result in highly unpredictable leak patterns. In this paper, the sequence alignment techniques for detecting data-leak patterns. This algorithm is designed for detecting long and inexact sensitive data patterns. The system has detection accuracy in recognizing data leaks. To demonstrate the high multithreading scalability of the data leak detection method required by a requirement of organization.

Keywords: Information leak detection, content inspection, sampling, alignment, dynamic programming, etc.

[1]. Hiroki Nishiyama, Desmond Fomo, Zubair Md. Fadlullah,, and NeiKato,Fellow," Traffic Pattern Based Content Leakage Detection for Trusted Content Delivery Networks" IEEE Transaction on Parallel and Distributed System , Volume 25, No 2 Feb 2014
[2]. K. Ramya, D. RamyaDorai, Dr. M. Rajaram "Tracing Illegal Redistributors of Streaming Contents using Traffic Patterns" IJC A 2011
[3]. A. Asano, H. Nishiyama, and N. Kato, "The Effect of Packet Reordering and Encrypted Traffic on Streaming Content Leakage Detection" Proc. Int'l Conf. Computer Comm. Networks (ICCCN '10), pp. 1 6, Aug. 2010.
[4]. Y. Chu, S.G. Rao, S. Seshan, and H. Zhang, "Enabling Conferencing Applications on the Internet Using an Overlay Multicast Architecture," Proc.ACM SIGCOMM, pp. 55 67,Aug. 2010
[5]. O. Adeyinka, "Analysis of IPSec VPNs Performance in a Multimedia Environment," Proc. Fourth Int'l Conf. Intell igent Environments, pp. 2530, 2008