iosr-JEEE   Volume-14 ~ Issue-3 ~ May-June 2019

Abstract: Induction motors are widely used in industrial applications hence its speed control has been an eminent area of research.The squirrel cage induction motors are cheap, simple and robust in construction, and requires less maintenance. Due to these advantages it has been widely used for fixed speed application in industries. The main purpose is to replace the DC motor by an induction motor and merge the advantages of both the motors together into variable speed brushless motor drive and eliminate the associated problems. Howeverindustrial applications require efficient control of IM drives. Control of Induction Motor (IM) is known to be difficult owing to the fact that themathematical models of IM are highly nonlinear and time variant. The innovation of vector control techniqueshas solved the problems of controlling the induction motor for precise applications..........

Keywords: Induction motor, indirect field oriented control, vector control, space vector pulse width modulation (SVPWM).

[1]. VenuGopal B T "Comparison Between Direct and Indirect Field Oriented Control of Induction Motor ", International Journal of Engineering Trends and Technology (IJETT), Vol.-43, No.-6, January 2017
[2]. M.R.BaqheethaFathima, P.Magdelin Jennifer Princy, S. RamPrasath, "Mathematical Modeling of SVPWM inverter fed 3 phase Induction Motor Vector control in MATLAB/Simulink Environment", International Conference on circuits Power and Computing Technologies [ICCPCT] 2017
[3]. SajiChacko, Dr. ChandrashekharN.Bhende, Dr. Shailendra Jain and Dr. R.K. Nema, "Modeling And Simulation of Field Oriented Control Induction Motor Drive And Influence of Rotor Resistance Variations on Its Performance" An International Journal (ELELIJ), Vol. 5, No. 1, February 2016
[4]. Vipul G. Pagrut, Ragini V. Meshram, Bharat N. Gupta, Pranao Walekar, "Internal Model Control Approach To PI Tunning In Vector Control Of Induction Motor", International Journal Of EngineeringResearchand Technology (IJERT), Vol. 4 Issue 06, June-2015.
[5]. Nithin S. Nair, Anoop.V.B., Arun V.A., JishnuChandran, SarathMenon C.S., "Simulation of Indirect FOC Based 3-PhaseInduction Motor Drive" International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 4, special issue-1, March 2015

Abstract: DPVs have recreational, scientific and military applications. A diver propulsion vehicle (DPV), also known as an underwater propulsion vehicle or underwater scooter is an item of equipment used by scuba divers and rebreather divers underwater to increase the range. Range is restricted by the amount of breathing gas that can be carried, the rate at which that breathing gas is consumed, and the battery power of the DPV. Though this has been the common methodology for many years, there is an emerging technique that involves developing algorithms with graphical tools. This improves development time, decreases programming complexity, and facilitates sharing of the design..........

Keywords: DPV, MATLAB, DSP, GUIDE.

[1]. Development of a motor speed control system using MATLAB and Simulink, implemented with a digital signal processor.Andrew Klee, B.S. University of central florida,, 2003.
[2]. www.padi.com
[3]. A practical BLDC motor design procedure diver propulsion vechicle applications.Yannis L Karnavas member IEEE, Ioannis D. Chasiotis , Student member IEEE and D.N Stavoulellis.
[4]. Systematic modelling and model based simulation of a remotely operated vehicle using MATLAB and Simulink.C.S Chin – School of Marine and Technology, jan 2012

[5]. Frederic, P. et al. (2010). Diver Propulsion Vehicle book, by VDM Publishing, ISBN 6130783159, 9786130783150

Abstract: An image processing is an interesting topic to distinguish the human actions for overall life presentations. For instance, detecting the gesticulation of an individual when he or she is driving and warning him/her when he/she is in sleepy attitude will be fairly beneficial. Human motions can be recognized by detecting the dissimilar movements of iris, nose, mouth localization and pointers. In this research we are concentrating on the humanoid face for identifying appearance. Many practices are obtainable to distinguish face. In this paper, the main focus is given in the feature extraction approach and also the classification approach. The feature extraction is done by using principal component analysis and the classification is done by using Adaptive Neuro Fuzzy Inference System

Keywords: Recognitions, Automatic Classifications, Characteristic Extractions, Neuro Fuzzy Systems, Feature extractions.

[1]. Q. Wu, Z. Wang, F. Deng, Z. Chi, D. D. Feng, "Realistic human action recognition with multimodal feature selection and fusion",
IEEE Transactions on Systems, Man, and Cybernetics: Systems 43, no. 4 (2013): 875-885.
[2]. Cohen, N. Sebe, L. Chen, A. Garg, and T. S. Huang. Facial expression recognition from video sequences: Temporal and static
modelling. In Computer Vision and Image Understanding, pages 160– 187, 2003.
[3]. C. P. de Campos, Z. Zeng, and Q. Ji. Structure learning of Bayesian networks using constraints. In ICML, 2009.
[4]. S. Jain, C. Hu, and J. K. Aggarwal. Facial expression recognition with temporal modeling of shapes. In ICCV Workshops, pages
1642– 1649.IEEE, 2011.
[5]. R. E. Kaliouby and P. Robinson. Real-time inference of complex mental states from facial expressions and head gestures. In CVPR
Workshop, 2004.

Abstract: The aim of this study is to characterize and classify the saline groundwaters within parts of the Central Benue Trough, Nigeria employing chemical indicators. Saline groundwater samples were collected and analyzed for a wide range of major and trace elements through Inductively Coupled Plasma Mass-Spectrometry using direct current plasma Optical Emission Spectrometry (ICP-OES). Piper/Trilinear diagram was used in classifying the groundwaters. Rock-water interaction, leaching of bed rock, carbonates weathering, oxidation of Fe-bearing sulfide minerals and silicate weathering were interpreted as major processes controlling the saline groundwater geochemistry.

Keywords: Central Benue Trough, Carbonate-Pyrite-Oxidation, ion-exchange reaction

[1]. Akande, S. O.,Olusola J. Ojo, Sven O. Egenhoff, Nuhu G. Obaje, Bernd D. Erdtmann (2011). Stratigraphic Evolution and Petroleum Potential of Middle Cretaceous Sediments in the Lower and Middle Benue Trough, Nigeria: Insights from New Source Rock Facies Evaluation. Petroleum Technology Development Journal (ISSN 1595-9104): An International Journal; July 2011 - Vol. 1
[2]. Benkhelil, J. (1987). The Evolution of the Cretaceous Benue Trough, Nigeria. Journal of African Earth Sciences, Vol. 8, 251 – 282.3.
[3]. Brownfield, M. E. (2016). Assessment of Undiscovered Oil and Gas Resources of the Chad Basin Province, North-Central Africa. U.S. Geological Survey, Reston, Virginia: 2016.
[4]. Carla Candeias, Paula Freire Avila, Eduardo F. da Silva, Adelaide Ferreira, Nuno Duraes & Joao Paulo Teixeira (2015).Water-Rock Interaction and Geochemical Processes in Surface Waters influenced by Tailings Impoundments (Panasquerira Mine, Central Portugal). Springer International Publishing, Switzerland.
[5]. Cratchley, C.B and Jones, G.P (1965). An interpretation of the geology and gravity anomalies of the Benue Valley, Nigeria. Overseas Geological Survey. Geophysics. Paper, No. 1, pp 1 – 26.

Abstract: An analysis of the power efficiency comparison between perturb and observe (P&O) algorithm and Fuzzy Logic Control (FLC) method being implemented on a photovoltaic (PV) system's maximum power point tracking (MPPT) is presented in this paper. The main limitation of P&O algorithm is its oscillation around the maximum power point (MPP), making its implementation unstable with rapid change in atmospheric condition, such as irradiance and temperature changes. The alternative FLC method was analyzed as comparison. The MPPT simulations have been performed with equal inputs, but using two different methods, namely the P&O algorithm and FLC method. The methods implementation has been based on the common condition and parameter, which were 1000 W•............

Keywords: photovoltaic, maximum power point tracking, perturb and observe, fuzzy logic control, power efficiency

[1]. P. A. Lynn, Electricity from sunlight: an introduction to photovoltaics, John Wiley & Sons, 2011.
[2]. M. Abdulkadir, A. S. Samosir, A. H. M. Yatim and S. T. Yusuf, "A new approach of modelling, simulation of MPPT for photovoltaic system in simulink model," ARPN Journal of Engineering and Applied Sciences, vol. 8, no. 7, p. 488–494, 2013.
[3]. A. Al Nabulsi, R. Dhaouadi and H. U. Rehman, "Single input fuzzy controller (SFLC) based maximum power point tracking," in Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference, 2011.
[4]. P. Rajendran and H. Smith, "Experimental Study of Solar Module & Maximum Power Point Tracking System under Controlled Temperature Conditions," IJASEIT, vol. 8, no. 4, pp. 1147-1153, 2018.
[5]. R. Ramaprabha, B. L. Mathur and M. Sharanya, "Solar array modeling and simulation of MPPT using neural network," in Control, Automation, Communication and Energy Conservation, 2009 (INCACEC 2009), 2009 2004.

Abstract: Switch mode power converters are inseparable parts of modern electronic world. Their applications range from infotainment gadgets to modern militaristic systems. They have wide range of topologies and architectures. And, permutations of these topologies and architectures yield hundreds of unique power converters with well-designed features such as speed, Efficiency, size and cost. Efficiency among the listed features stands out a major need in power and battery management systems. This paper explains the power loss elements of switch mode power converters and power losses in these elements in detail at intuitive level. These concepts can be further extended to study any architecture or topology of switch mode power converters.

[1]. Power Electronics Daniel W. Hart. Valparaiso University. Indiana
[2]. Under the Hood of a DC/DC Boost Converter Brian T. Lynch
[3]. Design of Isolated Converters Using Simple Switchers. Texas Instruments
[4]. Understanding Buck Power stage in Switch mode Power Supplies. Texas Instruments
[5]. Isolated and Non-isolated DC-DC converters. Anonymous.

Abstract: The equations for the average oxide fields for carrier tunnelling across the metal-gated MOS devices in accumulation and having charges in the oxide have been derived in this article. It has been clarified that N incorporation in the oxide by NO annealing at 1150 or 1175oC for 2 hrs does not affect the MOS characterisation as N is incorporated only at the SiC/SiO2 interface within the 2 nm of the interface and the flat band voltages remain the same before and after NO annealing. Both, dry and wet oxidation which includes wet re-oxidation anneal at 950oC for 3 hrs(ROA) followed by N incorporation due to NO annealing, give reproducible flat band voltage (Vfb) values as shown in studies by different research groups. However, NO annealing reduces the interface trap density...........

Keywords: Cathode, FN- tunnelling, Metal-Oxide-Semiconductor, Silicon, Silicon Carbide

[1]. Z.A. Weinberg, W.C. Johnson, M.A. Lampert, ―High-field transport in SiO2 on silicon induced by corona charging of the unmetallized surface‖, J. Applied Phys., 1976;47:248-255.
[2]. B.P. Rai, K. Singh, R.S. Srivastava, ―Current transport phenomenon in SiO2 films‖, Phys. Stats. Solidi (a), 1976;36:591-595.
[3]. M.W. Geis, J.A. Gregory, B.B. Pate, ―Capacitance-Voltage measurements on metal-SiO2-Diamond structures fabricated on (100)- and (111)-oriented substrates‖, IEEE Trans. On Electron Devices, 1991;38:619-626.
[4]. I.D. Parker, ―Carrier tunnelling and device characteristics in polymer light-emitting diodes‖, J. Appl. Phys, 1994;75:1656-1666.
[5]. V.R. Vathulya, W.E. Wagner, F.C. Miller, M.H. White, ―Thin oxide growth on 6H-Silicon Carbide‖, Microelectronic Engineering, 1997;36:175-178.

Abstract: When the traditional home life has been unable to meet people's needs for intelligent, comfortable and integrated life, smart home comes into being. In order to let more people know about smart home system, this paper designs several smart home system modules that are closely related to our daily life based on 51 single-chip microcomputer, and realizes remote control and detection [1]. This design uses STC89C51 single-chip microcomputer as the main control chip, including control system modules of lighting, household appliances, temperature and humidity environment detection, security and so on. ESP8266 Wi-Fi chip is selected as the AP mode, which..........

Keywords: Single chip microcomputer; ESP8266; Remote control; Security system

[1]. Wu G, Talwar S, Johnsson K, et al,M2M:From mobile to embedded internet[J]. Communications Magazine, IEEE, 2011, 49（4）:36-43.
[2]. Li xiaoqi. Research and implementation of intelligent home system based on internet of things [D]. Northeastern University, 2015, 1-3.
[3]. Papadopoulos N, Meliones A, Economou D, etal. Aconnected home platform and development framework for smart home control applications[C].Industrial Informatics,2009.INDIN 2009.7th IEEE International Conferenceon.IEEE,2009:402-409.
[4]. Zhou guanfang. Research on intelligent home system based on Internet of things [D], Hu bei University of technology, 2017, 6-7.

[5]. Yang haichuan. Design and implementation of intelligent home security system based on Internet of things [D]. Shanghai Jiao tong University, 2013, 42-43.

Abstract: Pollution monitoring systems are widely applied in industries. One of the greatest challenges in pollution is to control the parameters that causes pollution and deteriorates the natural and industrial environment pattern hence this has received high concern from industries. The main objective of this paper is to design a systematic and robust system to monitor and control the parameters causing pollution and to minimize the effect of these parameters without influencing the plant or natural environment. The proposed method is to model a system to read and monitor pollution parameters and to inform the required authorities when any of these factors goes higher than..........

Keywords: Arduino UNO, DHT-11 sensor, IoT, LabVIEW, MQ-135 sensor

[1]. N.Kularatna and B.H.Sudantha, An environmental air pollution monitoring system based on the IEEE 1451 standard for low cost requirements. IEEE Sensors Journal, volume 8, April 2008 pp. 415422.
[2]. Yingxiang Qiu and Qijun Chen, The realization of cyclic serial port communication based on LabVIEW IEEE International Conference on System Science and Engineering (ICSSE), Shanghai,2014 pp. 46-49.
[3]. R. Kazi and G. Tiwari, IoT based Interactive Industrial Home wireless system, Energy management system and embedded data acquisition system to display on web page using GPRS, SMS & E-mail alert. International Conference on Energy Systems and Applications, Pune,2015 pp. 290-295.
[4]. https://components101.com/sensors/mq135-gas-sensor-for-air-quality
[5]. https://hacktronics.co.in/4-channel-relay-module/4-channel-5v-relay-module-with-optocoupler-isolation

Abstract: The field of Data Mining includes a subfield known as Predictive Data Analytics. It would be easier for us to make rapid Decision Making forecasts if we do Predictive Data Analytics on enormous data sets. These forecasts will be based on the findings gained from live or sample data. Data mining, which is the process of extracting hidden predictive information from large databases, is an innovative and powerful new technology that has the potential to assist individuals and businesses in concentrating on the data that is the most relevant to their needs within their data warehouses. This study assists us in detailing how to carry out predictive data analytics in relation to data mining by making use of a variety of different technologies. R Studio, Weka, and KNIME are just a few of the Open Source Tools that may be utilised to assist in the process of carrying out Predictive Analytics...........

Keywords: Data Mining, Predictive Analytics, Data Sets, Decision Making, Attributes, Predictor, Knowledge Discovery.

[1]. Salmin, Sultana et al. 2009. Ubiquitous Secretary: AUbiquitous Computing Application Based on WebServices Architecture , International Journal of Multimedia and Ubiquitous Engineering Vol. 4, No. 4,October, 2009
[2]. Hsu, J. 2002. Data Mining Trends and Developments:The Key Data Mining Technologies and Applications for the 21st Century, The Proceedings of the 19th Annual Conference for Information Systems Educators (ISECON 2002), ISSN: 1542-7382. Available Online: http://colton.byuh.edu/isecon/2002/224b/ Hsu.pdf
[3]. Kotsiantis, S., Kanellopoulos, D., Pintelas, P. 2004. Multimedia mining. WSEAS ransactions on Systems,No 3, s. 3263-3268.
[4]. T. M. Mitchell. 1982. Generalization as Search, Artificial Intelligence, 18(2), 1982, pp.203-226.
[5]. R. Michalski., I. Mozetic., J. Hong., and N. Lavrac. 1986. The AQ15 Inductive Leaning System: An Overview and Experiments, Reports of Machine Leaning and Inference Laboratory, MLI-86-6, George Maseon University