Soil pollution by petroleum and its products in Niger Delta region of Nigeria are predominant due to oil exploration, exploitation and transportation.The aim of this study was to examine the effects of oxygen diffusion onthe physicochemical characteristics of petroleum contaminated sandy loam soils at 100cm depth when there is sufficient availability of indigenous microorganism in the polluted soils. The soil samples were analysis after pollution with Bonny light crude oil. The purpose of the pollution of the soil samples were to simulate conditions of major crude oil spill. Oxygen was diffused through the impacted soils in reactor C. Physicochemical properties of the sandy loam soils considered for analysis were pH, Electrical conductivity, Total organic carbon, Total Nitrogen, Moisture content, Phosphorous and Total petroleum hydrocarbon at two weeks' interval for six weeks using standard methods.........

Key words: Hydrocarbon; Oxygen diffusion; Pollution; Sandy loam soils.

[1]. Aldrett, I., Bonner, S., Mills, J.S., Antenneth, M.A. & Stephen, R.L.(1997). Microbial degradation of crude oil in Marine environments tested in ask experiment. Water Research, 31,2840-2848
[2]. American Society for Testing and Materials (ASTM) (1999).Water (II).Volume 11.02. 100 Barr Harbor Drive, P.O. Box C700, West Conshohocken, 19428 – 2959.
[3]. American Public-Health Association (APHA) (1998). Standard Methods for the Examination of Water and Wastewater (20th ed). Washington DC.
[4]. Ayotamuno, J.M., Okparanma, R.N. &Amadi, F. (2011).Enhanced remediation of oil sludge with saline water.African Journal of Environmental Science and Technology, 5(4). 262-267.
[5]. Ayotamuno, M.J., Kogbara, R.B. &Agoro, O.S. (2009).Biostimulation supplemented with phytoremediation in the reclamation of a petroleum contaminated soil. World Journal of Microbial Biotechnology,25, 1567-1572

All over the world, people are suffering from various types of diseases. Among them, the diseases related to the brain have a huge impact on the lives and health of the patients. Dementia is one such disease. Dementia is a term that describes a group of symptoms that is associated with rapidly declining mental and memory skills. Alzheimer‟s Disease is a form of dementia that slowly destroys memory and thinking skills and makes it impossible to perform simple tasks. Alzheimer‟s disease is one of the types of the dementia which contribute to 60-80% of mental disorders. Alzheimer's is an irreparable brain disease, impairs thinking and memory while the aggregate mind size shrinks which at last prompts demise. Diagnosis of this disease at an early stage will help the patients to lead a quality life for the remaining of their life. Early diagnosis of AD is important for the progress of more powerful treatments.

Key words: Alzheimer‟s Disease, Dementia, Data Mining, Machine Learning

[1] https://www.alz.org/alzheimers-dementia/what-is-alzheimers, accessed on 15/10/2018
[2] https://www.alz.org/alzheimers-dementia/stages, accessed on 07/01/2019
[3] https://en.wikipedia.org/wiki/Machine_learning, accessed on 12/09/2018
[4] https://en.wikipedia.org/wiki/Naive_Bayes_classifier, accessed on 7/01/2019
[5] https://en.wikipedia.org/wiki/Decision_tree, accessed on 7/01/2019

Sign language is a language that Deaf people use to communicate with other normal people in the community. Although the sign language is known to hearing-impaired people due to its widespread use among them, it is not known much by other normal people. In this project, we have developed a sign language recognition system for people who do not know sign language, to communicate easily with hearing-impaired people. This project is built to interpret American Sign Language and also provides a complete overview of deep learning-based methodologies for sign language recognition. This will benefit deaf and hearing-impaired people by offering them a flexible interpreting alternative when face-to-face interpreting is not available. And the main purpose of our project is to develop an intelligent system which can act as a translator between normal people and deaf or dumb people, and can be the communication path between people with speaking deficiency and normal people with both effective and efficient way.

Keywords: American Sign Language, Deep learning, Real-Time, Convolution Neural Network

[1]. PratibhaPandey and Vinay Jain, "An Efficient Algorithm for Sign Language Recognition", International Journal of Computer Science and Information Technologies (IJCSIT), Volume 6 (6), 2015.
[2]. AkshayJadhav, GayatriTatkar, GauriHanwate and RutwikPatwardhan, "Sign Language Recognition", International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), Volume 7, Issue 3, March 2017.
[3]. Oyebade K. Oyedotun and Adnan Khashman, "Deep Learning in Vision-Based Static Hand Gesture Recognition", The Natural Computing Application Forum 2016.
[4]. Ashish S. Nikam and AartiAmbekar, "Sign Language Recognition using Image Based Hand Gesture Recognition Techniques", ResearchGate, [online], Available from:
[5]. https://www.researchgate.net/publication/316732601_Sign_language_recognition_using_image_based_hand_gesture_recognition-techniques (November 2016).

In this paper a slotted CPW fed Ultra wide-band antenna operating over the frequency range of to GHz for personal wireless short range communication applications is designed and investigated. The proposed antenna consists of radiating patch, ground plane and CPW feed-line with radial slot in the centre of the radiating patch. The antenna is fabricated on a FR-4 glass epoxy substrate of 1.6mm thickness having loss tangent of 0.02 and dielectric constant of ξr = 4.4 and is investigated using HFSS EM simulation software. The proposed antenna has a compact dimension of 24 × 20 mm2. The antenna has measured VSWR ≤ 2 over the frequency range 3 - 10.8 GHz and exhibits good electrical characteristics in both frequency and time domain. Furthermore, different gain improvement techniques for CPW fed UWB antenna are investigated.

Key words: CPW fed, Ultra wideband antenna, gain improvement, stacked antenna

[1]. Daniel Valderas, Juan Ignacio Sancho, David Puent, Ultrawideband Antenna- Design and Applications (Imperial College Press, 2011)
[2]. Labade, R., S.Deosarkar, andN.Pishoroty, "A novel integrated Bluetooth dualband UWB antenna for wireless communication," International Journal of Microwave and Optical Technology, Vol. 10, No. 3, 195–201, 2015.
[3]. Labade, R., S. B. Deosarkar, and N. Pishoroty, "Design and implementation of an integrated Bluetooth ultrawideband monopole antenna," Australian Journal of Basic and Applied Sciences, Vol. 15, No. 8, 60–66, 2014.
[4]. Avinash Tambe, Rekha Labade, Shankar B. Deosarkar, and Rahul Parbat, "ACS Feed Compact Multiband Antenna for Personal Wireless Communication Applications", Progress In Electromagnetics Research Letters, Vol. 57, 31–38, 2015
[5]. Rekha Labade, Shankar B. Deosarkar, Narayan Pishartoy and Avinash Tambe, "Planar Monopole UWB Antenna for USB Dongle Application", Progress In Electromagnetics Research C, Vol. 60, 37–46, 2015.

The Internet and distance learning have created a new business and a new teaching pedagogy. The purpose of this paper is to show how the Fuzzy Logic can be used in an Intelligent Advisor System to give an encouragement to the self-paced learner. The core part of this paper is to design a fuzzy controller with the help of two input parameter such as score and time from computer aided assessment to measurement the actual level of a self-paced learner with respect to knowledge, understanding and skill, according to that value intelligent advisor gives proper advice to the learner.

Key words: Fuzzy Logic, FLC, ICT, E-Learning, self-paced, Intelligent Advisor, ITS.

[1]. S. Weon, J. Kim, "Learning achievement evaluation strategy using fuzzy membership function" Proceedings of 31 st ASEEIIEEE Frontiers in Education Conference, pp. 10-13, 2001. Handbook of Measuring System Design, edited by Peter H. Sydenham and Richard Thorn © 2005 John Wiley and Sons, Ltd. ISBN: 0-470-02143-8, pp. 910-912
[2]. Zadeh ,L.A. (1965) Fuzzy sets. Information and control.8, 338-353.
[3]. Abraham,A(2005)Adaptation of fuzzy inference system using neural learning. Fuzzy System Engineering: Theory and Practice. N. Nedjah Ed et al Berlin, Germany: Springer-Verlag,3,53-83
[4]. P Basu and Samir Roy "A Fuzzy Rule Based Intelligent Advisor for Self-Paced Learner in e-Learning Environment" 2nd International Conference on Education Technology and Computer (ICETC) in 2010 pages 302 -307
[5]. D. Sleeman., J. Brown., eds , "Introduction: Intelligent Tutoring System," in Intelligent Tutoring systems, Academic Press., pp. 1-11, 1982. [5]Ajith Abraham. "Rule-Based Expert System," Oklahoma State University, OK, USA.

As client requirements are ever changing, continuous modification in the website needed to keep them up to date, so its biggest challenge is to keep the site up and avoid any downtime. Because downtime leads to loss in the earning and also it disappoints the user who uses E-commerce platform. Hence, servers need to be running all the time. We can minimize the downtime of Application by implementing Microservice Architecture. Single Responsibility Principal has been used by Microservice Architecture and they can be deployed independently. They can be scaled and tested independently. They are design and developed as a small application. Now a days, Microservices...........

[1]. S. Newman, Building Microservices. O'Reilly, 2015.
[2]. https://dzone.com/articles/benefits-amp-examples-of-microservices-architectur
[3]. Microservice Architectures for Scalability, Agility and Reliability in E-Commerce by Wilhelm Hasselbring and Guido Steinacker
[4]. "Information system integration," W. Hasselbring, Communications of the ACM, vol.43, no. 6, pp. 32–36, 2000

Drought is one of the most dangerous atmospheric events for agriculture. Every year, damage to the farm as a result of drought in different regions of the world is estimated at $ 1 million. However, in some cases, the damage to the farm is due to other reasons, but it is also related to the droughts. In this article, the matter a bit clarified by using the concept of angle coefficient of the trend. Thus, the angle ratios of the trend and productivity are calculated for a particular given period, and the compatibility between angle ratios for both rows is investigated. If the change between lines is seen, then it is accepted that, drought is the reason of productivity change. Otherwise, the effects of other factors are investigated.

Keywords: trend, anglecoefficient, drought, productivity, period, line.

[1]. Imanov F.A., Kurbanov Ch.Z., Hasanova N.I. Change of proportion of runoff characteristics of rivers of Azerbaijan. The materials of the international conference dedicated to the memory of famous Russian hydrologist Y.B.Vinogradov. March 28-30, 2018. pp. 553 -557
[2]. Imanov F.A., Mammadov A.S., N.I.Hasanova N.I.Investigation of droughts in the Lankaran region of Azerbaijan.Journal of water and land development. Warszawa-Falenty, Poland, No 16, 2012,January- June.p. 11-15.
[3]. Mammadov A.S.,Abdullayev V.R.Study of Possible Relation between Drought and Solar Activity in the Territory of Azerbaijan. American International Journal of Contemporary Research. Vol. 4, No. 12; December 2014, pp. 8-16

Gd substituted ZnO nanoparticles were derived by sol-gel autocombustion technique to explore structural, morphological and optical properties. Studies with the Gd concentrations of 1 at%, 3 at% and 5 at% have been done. X-ray diffraction spectroscopic study depicts the hexagoanl struture and it is also confirmed by Transmission electron microscopy (TEM). Energy band gap study reveals red shift for 1 at%, 3 at% and due to quantum confinement effect Gd doped ZnO nanoparticles shows blue shift for 5 at%. Energy dispersive technique and X-ray photoelectron spectra‟s were used to examine the elemental compositions as well as existance of Gd3+ ion in as synthesised samples. XPS spectra of 5 at% Gd doped ZnO depicts Gd3d with spin orbit splitting and Gd4d overlapping peaks centered at 140.62eV

Keywords: Crstallographic Study, Hexagonal structure, Photoelectron, TEM.

[1]. J. L. Noel, R. Udayabhaskar, B. Renganathan, S. M. Mariappan, D. Sastikumar and B. Karthikeyan, Spectroscopic and fiber optic ethanol sensing properties Gd doped ZnO nanoparticles, Spectrochimsica Acta Part A: Molecular and Biomolecular Spectroscopy, 132, 2014, 634–638.
[2]. L. Liu, P. Y. Yu, Z. Ma and S. S. Mao, Ferromagnetism in GaN:Gd: A Density Functional Theory Study, Physical Review Letters, 100, 2008, 127203.
[3]. M. Kumar and Y. Ando, Chemical Vapor Deposition of Carbon Nanotubes: A Review on Growth Mechanism and Mass Production, J. Nanoscience and Nanotechnology, 10, 2010, 3739–3758.
[4]. M. Rouchdi, E. Salmani, B. Fares, N. Hassanain and A. Mzerd, Synthesis and characteristics of Mg doped ZnO thin films: Experimentaland ab-initio study, Result in physics, 7, 2017, 620-627.
[5]. W. Chen, Y. H. Lu, M. Wang, L. Kroner and H. J. Fecht, J. Bednarcik, K. Stahl, Z. L. Zhang, U. Wiedwald, U. Kaiser, P. Ziemann, T. Kikegawa,O C. D. Wu, and J. Z. Jiang, Synthesis, Thermal Stability and Properties of ZnO2 Nanoparticles, J. Phys. Chem. C, 113, 2009, 1320-1324.

A chatbot is a computer program which controls a conversation through voice or textual methods. These programs are often structured to firmly copy how a human would behave like a conversational partner and thus passing the Turing test. Chatbots are typically used in dialogue systems for different practical purposes including customer service and information acquisition. Few chatbots use complex natural language processing systems. Many simpler chatbot scan for keywords within the input and then fetch a reply with the most matching keywords from a database. Chatbots are also known as smartbot, talkbot, chatterbot, Bot, IM bot, interactive agent, conversational interface, conversational AI, or artificial conversational entity. The objective of the research is to investigate the feasibility of using chatbot technologies to simulate government exams and jobs on the internet...........

Keywords: Android, Artificial intelligence, Speech recognition, internet, chatbot, government exams.

[1]. Shafquat Hussainand Ginige Athula, "Extending A Conventional Chabot Knowledge Base to External Knowledge Source and Introducing User Based Sessions for Diabetes Education", 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 698-703, 2018.
[2]. Rachit Kulkarni, Ankit Methvani, Nakul Pawar and Charmi Valecha, "College Chat-bot",International Journal of Advance Research in Computer Engineering and Technology (IJARCET), vol. 6, Issue 4, pp. 2278-1323, 2017.
[3]. Dr.Ljabasheela, A.Kiruthiga, K.Kiruthika, K.Kowsalya, "Voice Based Chat-Bot for College Management System", International Journal of Advance Engineering and Research Development, vol. 5, Issue 04, 2018.
[4]. Md.Shahriare Satu, Tajim Md. Niamat Ullah Akhund, and Mohammad Abu Yousuf , "Online Shopping Management System with Customer Multi-Language Supported Query handling AIML Chatbot", Institute of Information Technology, Jahangirnagar University, 2017.
[5]. Menal Dahiya, "A Tool of Conversation: Chabot", International Journal of Computer Science and Engineering, vol. 5, Issue 5, pp. 2347-2693, 2017.

A worldwide temperature alteration and environmental obliteration have turned into the real issue as of late. Surge of host of ozone harming substances from modern systems and its adversarial affect on climate has changed the attitude of people from the substantial scale fabricating, mass-usage, mass waste society of the past to a zero-release society, use of mechanical squanders and security of normal assets. Keeping the utilization of common assets and updating the use of waste materials has transformed into a test to the analyst and masters.Different examinations have been driven concerning the protection of normal assets, balancing activity of ecological pollution and promise to the economy by using this waste material............

Keywords: Worldwide temperature, Environmental, Industrial procedures, Industrial wastes and protection, Natural resources, Construction industry.

[1]. Deshmukh S. H., Bhusari J. P , Zende A. M. (2012), " Effect of Glass Fibers on Ordinary Portland cement Concrete", IOSR Journal of Engineering June., Vol. 2(6) pp: 1308-1312.
[2]. Dhadse Sharda, PramilaKumari and Bhagia L. J. (2008), "Fly ash characterization, utilization and Government initiatives in India. A review", Journal of Scientific & Industrial research, Vol. 67, January, pp. 11-18.
[3]. Dharani. N, Ashwini. A, Pavitha. G, Prince Arulraj. G (2013), "Experimental Investigation on Mechanical Properties of Recron 3S Fiber Reinforced Hyposludge Concrete", International Journal of Civil Engineering and Technology (UCIET) ISSN 0976 - 6308 (Print) ISSN 0976 - 6316(Online) Volume 4, Issue 1, January- February, pp. 182-189 © IAEM
[4]. EmamulHaqueMd (2013), "Indian fly-ash: production and consumption scenario", Intemat. J. Waste Resources, Vol. 3 (1) ISSN: 2252-5211, International Journal of Waste Resources (UWR), http://www.ijwr.co, PP-22-25.
[5]. Eskioglou P., Oikonomou N. (2008), "Protection of Environment by the Use of Fly Ash in Road Construction", Global NEST Journal, Vol 10, No 1, pp 108-113.

Cloud computing is one of the most promising technologies in which a good number of the researchers are doing research. Out of the various challenges in this field, one challenge is regarding the precise and reasonable resource provisioning to submitted jobs. Organizations prefer hybrid clouds for keeping their secure data on private cloud and rest of the data on public cloud .Our work involves building and implementing decision making model that will determine route the cloud computing processes will follow to go to appropriate cloud for resource provisioning. The decision is based on parameters such as priority, age and execution time required for the process. The simulation results improve performance in terms of security, accuracy, response time and resource utilization.

Keywords: Cloud Computing, Resource Provisioning, Hybrid Cloud, Fuzzy Logic, Soft Computing.

[1]. Alam MI, Pandey M, Rautaray SS. A comprehensive survey on cloud computing. International Journal of Information Technology and Computer Science (IJITCS). 2015 Jan 8; 7(2):68.
[2]. Jadeja Y, Modi K. Cloud computing-concepts, architecture and challenges. In Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on 2012 Mar 21 (pp. 877-880). IEEE.
[3]. Geelan J. Twenty one experts define cloud computing. Cloud Computing Journal. 2009 Jan 24;4:1-5.
[4]. Goyal S. Public vs. private vs. hybrid vs. community-cloud computing: a critical review. International Journal of Computer Network and Information Security. 2014 Feb 1;6(3):20.
[5]. Begum S, Prashanth CS. Review of load balancing in cloud computing. International Journal of Computer Science Issues (IJCSI). 2013;10(1):343.

Ground water is exploited with little recharge for meeting the increased needs of the society. As a result, the net groundwater availability is decreasing in many parts of the world. There is an urgent need to strike a balance between exploitation and recharge. The groundwater balance status in an academic campus in Mylavaram, Andhra Pradesh is studied for an effective usage period of 225 days in a year neglecting holidays and other vacations. The campus houses needs water to nearly 5000 members on a daily basis. The campus stretches to an area of 62.5 acres, most of it is pervious. The recharge in the campus is studied based on water table fluctuation method and Rainfall infiltration method suggested by Groundwater Assessment Committee recommendations revised in 2017............

Keywords: Water balance, Rainwater Harvesting, Groundwater development, Groundwater recharge, Groundwater exploitation

[1]. Adeleke O.O., Victor Makinde , Ayobami O. Eruola , Oluwaseun F. Dada, Akintayo O. Ojo and Taiwo J. Aluko. (2015). "Estimation of Groundwater Recharges Using Empirical Formulae in Odeda Local Government Area, Ogun State, Nigeria", Challenges 2015, 6, 271-281.
[2]. Chatterjee R, and R.K. Ray. (2014). "Assessment of Ground Water Resources A Review of International Practices", Govt. of India Ministry of Water Resources Central Ground Water Board, New Delhi
[3]. Chatterjee R. and R.R. Purohit. (2009). "Estimation of replenishable groundwater resources of India and their status of utilization", Current Science, 96 (12), 1581-1591.
[4]. Chinnasamy P., Jason A. Hubbart, and G. Agoramoorthy. (2013). "Using Remote Sensing Data to Improve Groundwater Supply Estimations in Gujarat, India", Earth Interactions, 17 (2013), 1-17.
[5]. CoreDashBoard. (2018). "Ground water Table Depth in AP", Available via internet at https://core.ap.gov.in/CMDashBoard/UserInterface/GroundWater/GroundWaterReports.aspx