Volume V Issue V

VLSI Design for Human Health Monitoring and Medical Alert System Based on FPGA, MEMS and Special Sensor Network

Prof Sachin, Shefali, Srilaxmi, Teena – May 2018 Page No.: 01-03

The main aim of this paper is to monitor the health conditions of elders and patients. The system checks the health condition of one through smart sensor network, MEMS module and GPS/GSM technology. The system monitors the health condition of the human being daily. The interface used is user-friendly it monitors the health conditions of a human being. Also it sends information to the nearby hospital if something goes wrong with the patient. This device can be worn by anyone as it is light weight or compact. It also provides the exact location of the patient to his/her family which provides some relief to their family too. By this system the patient can be travel anywhere he/she wants as the system monitors the conditions each and every time. So even if something goes wrong the system informs the nearby hospitals and also to the family. Thus this device also makes the patient independent.

Page(s): 01-03                                                                                                                   Date of Publication: 22 May 2018

 Prof Sachin
Department of Electronics and Communication, Alva’s Institute of Engineering and Technology, Mijar, Moodbidri, Mangaluru, Karnataka, India

 Shefali
Department of Electronics and Communication, Alva’s Institute of Engineering and Technology, Mijar, Moodbidri, Mangaluru, Karnataka, India

 Srilaxmi
Department of Electronics and Communication, Alva’s Institute of Engineering and Technology, Mijar, Moodbidri, Mangaluru, Karnataka, India

 Teena
Department of Electronics and Communication, Alva’s Institute of Engineering and Technology, Mijar, Moodbidri, Mangaluru, Karnataka, India

[1]. D. N. Kanten, C. D. Mulrow, M. B. Gerety, M. J. Lichtenstein, C. Aquilar and J. E. Cornell, “Falls : an examination of three reporting methods in nursing homes,” Journal of Am Geriatr Soc., vol. 41, pp. 662- 666, 1993.
[2]. Y. G. Lee, D. 1. Cheon and G. W. Yoon, “Telemonitoring System of Fall Detection for the Elderly,” Journal of Sensor Science and Technology., vol. 20, no. 6, pp. 420-427, 2011.
[3]. C. W. Lin, Z. H. Ling, Y. C. Chang and C. J. Kuo, “Compresseddomain Fall Incident Detection for Intelligent Homecare,” Journal of VLSI Signal Processing., vol. 49, pp. 393-408, 2007.
[4]. A. Sixsmith and N. Johnson, “A Smart Sensor to Detect the Falls of the Elderly,” Journals & Magazines., vol. 3, no. 2, pp. 42-47, 2004.
[5]. Q. Li, J. A. Stankovic, M. Hanson, A. Barth and J. Lach, “Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information,” in 2009 Sixth International Workshop on Wearable and Implantable BSN., pp. 138-143, Jun. 2009.
[6]. A. K. Bourke, J. V. O’Brien and G. M. Lyons, “Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm,” in Gait & Posture., vol. 26, pp. 194-199,2007.
[7]. N. S. Kim, “Development of an Emergency Monitoring Device in a Wrist Watch,” The Journal of Korea Institute of Information Technology., vol. 8, no 4, pp. 9-18, Apr. 2010.
[8]. M. Quwaider and S. Biswas, “Physical Context Detection using Wearable Wireless Sensor Networks,” Journal of Communications Software and Systems., vol. 4, no. 3, pp. 191-201, Sep. 2008.
[9]. Som A. E S esign for reliability mechanical failure modes and testing in Proc. th nt. onf. Percept. Technol. Methods in MEMS design, Polyana, Ukraine, 11-14 May, 2011, pp. 91-101.

Prof Sachin, Shefali, Srilaxmi, Teena “VLSI Design for Human Health Monitoring and Medical Alert System Based on FPGA, MEMS and Special Sensor Network” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp.01-03 May 2018  URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/01-03.pdf

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Experimental Investigation on Stabilizing Expansive Shedi Soil Using Rice Husk Ash and Lime Sludge
Karthik, Nadeem, Raghvendra, Gavisiddesh Majjagi – May 2018 – Page No.: 04-07

This work relates with usage of environmental hazardous waste of rice husk ash and lime sludge with expansive soil. The results showed appreciable increase in their strength value with the 7day period. The rice husk ash is a waste material obtained around Hyderabad Karnataka region after burning of rice husk,. Lime sludge is another waste material obtained from paper manufacturing industry. These materials have should be effectively used in engineering applications to avoid major environmental pollution issues. Hence usage of these material is recommended which are economical too.

Page(s): 04-07                                                                                                                   Date of Publication: 22 May 2018

 Karthik
BE Final Year Student, Department of Civil Engineering, SDM Engineering College, Dharwad, Karnataka, India

 Nadeem
BE Final Year Student, Department of Civil Engineering, SDM Engineering College, Dharwad, Karnataka, India

 Raghvendra
BE Final Year Student, Department of Civil Engineering, SDM Engineering College, Dharwad, Karnataka, India

 Gavisiddesh Majjagi
Assistant Professor, Department of Civil Engineering, SDM Engineering College, Dharwad, Karnataka, India

[1]. Akshaya Kumar Sabat, “Engineering properties of an expansive soil stabilized with rice husk ash and lime sludge” Vol 5 No 6 Dec 2013-Jan 2014.
[2]. S.A. and Oladeji, “Geotechnical properties of lateritic soil stabilized with sugarcane straw ash” 2011.
[3]. Aminaton Marto, Nima Latifi, Houman Sohaei, “Stabilization of laterite soil using GKS soil stabilizer” Vol. 18 (2013)
[4]. Khelifa Harichane, Mohamed Ghrici, Wiem Khebizi, Hanifi Missoum, “Effect of the combination of lime and natural pozzolana on the durability of clayey soils” Vol. 15 (2010)
[5]. Akshaya Kumar Sabat, “Utilization of bagasse ash and lime sludge for construction of flexible pavements in expansive soil areas”. Vol. 17 (2012)
[6]. B.C. Chattopadhyay, S.K. Roy, T.K. Roy, “Effect of lime on the properties of sub grade of roads with addition of rice husk ash”(2009)
[7]. Dr. Robert M. Brooks, “Soil stabilization with flyash and rice husk ash”. Volume 1, issue 3(December2001)

Karthik, Nadeem, Raghvendra, Gavisiddesh Majjagi “Experimental Investigation on Stabilizing Expansive Shedi Soil Using Rice Husk Ash and Lime Sludge” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp.04-07 May 2018 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/04-07.pdf

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A Study on Impact of Capital Structure on EBIT-EPS of KDMPMACU Limited
R.V. Sankara Rao – May 2018 – Page No.: 08-11

This study examines the impact of capital structure on the performance of the company. It is measured using EBIT-EPS analysis. In this paper an attempt is made to analyze the capital structure of KDMPMACU Limited during the period 2011-12 to 2015-2016, so as to understand the factors that influenced the capital structure decisions of the company and to know the impact of capital structure decisions on profitability and performance of the company. The company’s performance is measured through BIT-EPS analysis. Increase in the level of debt and net worth increases the debt equity ratio. Capital structure is the crucial decision to be taken by every business, the positives and negatives of these decisions plays an important role in determining the future of every business.
In this paper, researchers try to quantify the effect of Operating Income or Earning before Income and Taxes (EBIT) & simultaneously the effects of Earning per Share (EPS) on shareholder wealth.

Page(s): 08-11                                                                                                                   Date of Publication: 22 May 2018

 R.V. Sankara Rao
Research Scholar, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India

[1]. Sudarsana Reddy. (2010) Himalaya Publishing House.
[2]. Brealey,R., &Myers S.(2000) Principles of Corporate Finance, India: McGraw-Hill.
[3]. Bradley,M., G.Jarrell, & Kim E.(1984), On the Existence of an Optimal Capital Structure: Theory and Evidence, Journal of Finance, 39, 857-878.
[4]. Harris, M & Raviv A. (1991).The theory of the capital structure, Journal of Finance, 46, 297-355.
[5]. Myers,S. The capital structure Puzzle, Journal of Finance, 575-592.
[6]. Accounting Manuals of KIRSHNA DISTRICT MILK PRODUCERS MUTUALLY AIDED CO-OPERATIVE UNION Limited.
[7]. Published financial statements and their related schedules of KDMPMACU Limited for the 05 years (2011-12 to 2015- 2016).

R.V. Sankara Rao “A Study on Impact of Capital Structure on EBIT-EPS of KDMPMACU Limited ” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp. 08-11 May 2018 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/08-11.pdf

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Fabrication of Multipurpose Pest Sprayer

Kiran C H, Rajesh Sthavarmath, Abhishek, R Gowtham Raj, Amar – May 2018 Page No.: 12-15

In India, about 65% of people are involved in agriculture and farming. Indian farmers face a lot of difficulties in agriculture, one of the major problems they face is a failure of crops due to pests and insects. Insects are responsible for the destruction of crops and to prevent them we use pesticides and insecticides. Insecticides/pesticides are sprayed on crops using devices known as the pesticides sprayer. There are many types of sprayers used by farmers, most commonly used sprayer is backpack sprayer. It has many limitations like low pesticides carrying capacity, inefficient spraying, prolong use of backpack sprayer will lead to back problems of the person using it. The main aim of our project is to do fabricate mechanical pest sprayer, which can overcome the limitations of a backpack sprayer. We have designed a model running without any fuel and it is easy to operate.

Page(s): 12-15                                                                                                                   Date of Publication: 23 May 2018

 Kiran C H
Asst. Prof., Department of Mechanical Engineering , Alva’s Institute of Engineering and Technology, Mijar, Moodbidri, Dakshina Kannada, Karnataka-574225, India

 Rajesh Sthavarmath
Student, Department of Mechanical Engineering , Alva’s Institute of Engineering and Technology, Mijar, Moodbidri, Dakshina Kannada, Karnataka-574225, India

 Abhishek
Student, Department of Mechanical Engineering , Alva’s Institute of Engineering and Technology, Mijar, Moodbidri, Dakshina Kannada, Karnataka-574225, India

 R Gowtham Raj
Student, Department of Mechanical Engineering , Alva’s Institute of Engineering and Technology, Mijar, Moodbidri, Dakshina Kannada, Karnataka-574225, India

 Amar
Student, Department of Mechanical Engineering , Alva’s Institute of Engineering and Technology, Mijar, Moodbidri, Dakshina Kannada, Karnataka-574225, India

[1] “Design and Fabrication of Organic Fertilizer and Pesticidses Sprayer” Dr.S K Choudhary, published in “International Journal for Scientific Research & Development”, Vol.03, ISSN: 2321-0613(2015)
[2] “Fabrication of Automatic Pesticides Spraying Machine”Dhiraj N. Kumbhare, published in “International Research Journal of. Engineering and Technology”, Vol.03, ISSN: 2395-0056(2016)
[3] “Mechanically Operated Cart for Pesticide Sprayer for Agriculture”Faijubhai Malek, published in “International Journal of Innovative Research in Science, Engineering and Technology”, Vol.05, ISSN: 2319-8753(2016)
[4] “Design and Fabrication of Mechanical Pest Sprayer”Sanjay S, published in “International Journal of Innovative Research in Science, Engineering and Technology”, Vol.04, ISSN: 2319-8753(2015)

Kiran C H, Rajesh Sthavarmath, Abhishek, R Gowtham Raj, Amar “Fabrication of Multipurpose Pest Sprayer” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp.12-15 May 2018  URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/12-15.pdf

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Analysis and Prediction of Open Bugs Using Machine Learning Algorithms
Sachin A S, Dr. Rajashree Shettar – May 2018 – Page No.: 16-19

There are many fault tracking repositories, some of them are YouTrack, Bugzilla, MantisBT and Atlassian JIRA. Atlassian JIRA repository has been used in this study, as it is extensively accepted by most of the software companies. This repository contains significant information of many projects. Each project has different kinds of issues such as bug(faults) reports, enhancement required to an existing feature, and new feature of the product and task that needs to be done. This paper focuses on analysing the previously raised bug report(history) to understand the correlation and dependability of the attributes like number of bugs created per day, their priority, number of days or hours taken to resolve etc., The data is then processed into a new format which will comply to machine learning algorithms. Different machine learning approaches such as linear regression, support vector machine, K-nearest neighbour, and generalized linear models (Ridge, Lasso and ElasticNet) will be applied on to the data to evaluate and identify the effective and efficient machine learning algorithm for prediction of possible open bugs per day. The best learning algorithm will then be used to predict open bugs per day and make better estimation of time and resource allocation to resolve the issues.

Page(s): 16-19                                                                                                                   Date of Publication: 24 May 2018

 Sachin A S
Department of Computer Science and Engineering, R V College of Engineering, Mysuru Road, Bengaluru, Karnataka, India.

 Dr. Rajashree Shettar
Department of Computer Science and Engineering, R V College of Engineering, Mysuru Road, Bengaluru, Karnataka, India.

[1] K. Arvinder and G. J. Shubhra, “Bug report collection system (BRCS),” in Cloud Computing, Data Science & Engineering-Confluence, 2017.
[2] X. Gou, Xin Zhou, JiaWen Pang and ShunKun Yang, “Medical software bug prediction based on static analysis.,” in In Industrial Electronics Society, 2017.
[3] Kenmei, Benedicte, Giuliano Antoniol and P. D. Massimiliano, “Trend analysis and issue prediction in large-scale open source systems,” in Software Maintenance and Reengineering, 2008.
[4] D. C. Montgomery, A. P. Elizabeth and G. V. Geoffrey , Introduction to linear regression analysis, vol. 821, John Wiley & Sons, 2012.
[5] G. Rinkaj, C. Pravin and S. Yogesh, “Suitability of KNN regression in the development of interaction based software fault prediction models.,” Ieri Procedia, vol. 6, pp. 15-21, 2014.
[6] H. Osman, M. Ghafari and O. Nierstrasz, “Automatic feature selection by regularization to improve bug prediction accuracy,” in Machine Learning Techniques for Software Quality Evaluation, 2017.

Sachin A S, Dr. Rajashree Shettar “Analysis and Prediction of Open Bugs Using Machine Learning Algorithms” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp.16-19 May 2018 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/16-19.pdf

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Determination of Mean Depth of Flow Using Finite Difference Method for the Equation Obtained with Respect to Maximum Value of Manning’s Roughness Coefficient
Dr. Birendra Kumar Singh – May 2018 – Page No.: 20-23

The mean depth of flow obtained from fourth order differential equation for the relationship of mean depth of flow and mean velocity of flow with respect to Manning’s roughness coefficient is found. The mean depth of flow obtained using finite difference method is nearly equal to the mean depth of flow given in 0.75-inch roughness bed data. Hence, finite difference method is appropriate.

Page(s): 20-23                                                                                                                   Date of Publication: 25 May 2018

 Dr. Birendra Kumar Singh
Civil Engineering Department, Birla Institute of Technology, Mesra, Ranchi-835215, Jharkhand, India

[1]. A Caroglu, E.R,1972, “Friction factors is solid material systems “J. Hydraulic Div. Am. SOC. Civ. Eng, 98(HY 4),681 – 699
[2]. Alam, A.M.Z. and Kennedy J.F,1969,” Friction factors for flow in sand bed channels “J Hydraulic Div. Am. SOC Civ. Eng 95(HY 6), 1973 – 1992
[3]. Bathurst, J.C.,1978, Flow Resistance of Large-Scale Roughness,” Journal of the Hydraulics Division, ASCE, Vol. 104, No. HY12, Paper 14239, pp.1587.
[4]. Bathurst, J.C., Li, R-M., and Simsons, D.B.,1979, Hydraulics of Mountains Rivers, Report No.CER78-79JCB-RML-DBS55, Civil Engineering Department, Colorado State University, Fort Collins, Colo.
[5]. Bathurst, J.C.,1980, “Flow Resistance in Boulder-Bed Streams”,University East Anglia/Institute Hydrology/Colorado State University International Workshop on Engineering Problems in the Management of Gravel Bed Rivers, held at Gregyong, Newtown, Wales, U.K. (Proceedings to be Published by John Wiley and Sons, Inc., New York, N.Y.), 22-28.
[6]. Ben Chie Yen F.,2002, “Open channel flow resistance” Journal of the Hydraulic Engg. Vol 128, No – 1 ASCE, PP,20 – 39
[7]. Bray, D.I.,1979, “Estimating average velocity in gravel bed – rivers “J Hydraulic Div. Am. SOC Civ. Eng. 105 (HY 9), 1103 – 1122
[8]. Charlton, F.G., Brown, P.M., and Benson, R.W.,1978, “The Hydraulic Geometry of Some Gravel Rivers in Britain.” Report No. ITI80. Hydraulics Research Station Wallingford, U.K.
[9]. Day, T.,1972, “The channel Geometry of Mountain Streams.” Mountains Geomorydlogy Olav Slaymaker and H.J. McPherson, eds, Tantalus Research Ltd., B.C., pp. 141-149.
[10]. Day, T.T.,1977, discussion of “Resistance Equation for Alluvial-Channel Flow,” by D.E. Burkham and D.R. Dawdy, Journal of the Hydraulics Division, ASCE, Vol. 103, No. HY5. Proc. Paper 12896, May, pp. 582-584.
[11]. Dey S, Raikar R.V., 2007, “Characteristic of loose rough boundary streams at near threshold” Journal of Hydraulic Engg. ASCE 133(3), 288-304
[12]. Flammer, G.H., Tullis,J. Mason, E.S., 1970, “Free Surface Velocity Gradient Flow Past Hemisphere,” Journal of the Hydraulics Division, ASCE, Vol. 96, No.HY7, Proc Paper 7418, pp.1485-1502.
[13]. Golubtsov, V.V.,1969, “Hydraulic Resistance and Formula for Computing the Average Flow Velocity of Mountain Rivers,” Soviet Hydrology: Selected Papers, American Geophysical Union, No. 5, pp. 500-511.
[14]. Griffiths, G.A.,1981, “Flow resistance in course gravel bed rivers “J. Hydraulic Div. An soc. Civ. Eng. 107 (HY – 7), 899 – 918
[15]. Hartung, F., and Scheuerlein. H.,1967, “Macroturbulent Flow in Steep Open Channels with High Natural Roughness,” Proceedings of the Twelfth Congress of the International Association for Hydraulic Research, Fort Collins, Colo., Vol, 1, pp, 1-8.
[16]. Herbich, J.B., and Shulits, S.,1964, “Large-Scale Roughness in Open Channel Flow,” Journal of the Hydraulics Division, ASCE, Vol. 90, No. HY6, Proc. Paper 4105, pp, 203-230.
[17]. Hey, R.D.,1979, “Flow Resistance in Gravel-Bed Rivers” Journal of the Hydraulics Division, ASCE, Vol. 105, No. HY4, Proc. Paper 14500, pp, 365-379.
[18]. J. Aberle and G.M. Smart, 2003, “The influence of roughness structures on flow resistance on steep slopes”, Journal of Hydraulic Research Vol 41, Issue 3, Available online 01 Feb 2010,259-269
[19]. James C. Bathurst, 1978, “Flow resistance of large-scale roughness “, Journal of the Hydraulic Division Vol 104 NO-12, PP 1587-1603
[20]. James C. Bathurst,1981, “Resistance Equation for Large Scale Roughness “Journal of the Hydraulics Division, ASCE, Vol 107 NOHY-12, pp 1593-1613.
[21]. Johansson, C.E.,1963, “Orientation of Pebbles in Running Water,” GeografiskaAnneler, Vol. 45, Stockholan, Sweden, pp,85-112.
[22]. Judd, H.E., and Peterson, D.F..,1969, “Hydraulics of Large Bed Element Channels,” Report No. PRWG 17-6, Utah Water Research Laboratory, Utah State University, Logan, Utah.
[23]. Kellerhals, R.,1970, “Runoff Routing Through Steep Natural Streams,” Journal of the Hydraulics Division, ASCE, Vol. 96, No. HY11, Proc. Paper 7666, pp,2201-2217.
[24]. LI, R-M., Simons, D.B., Ward, T.J., and Steele, K.S.,1977, “Phase 1 Report: Hydraulic Model Study of Flow Control Structures,” Report No. CER77-78RML-DBS-TJW, KSS15, Department of Civil Engineering, Colorado State University, Fort Collins, Colo.
[25]. Lovera, F. and kennedy J.F,1969, “Friction factors for flat – bed flows in sand channel” J Hydraulic Div, Am. Soc. CivEng 95 (HY 4), 1227 – 1234.
[26]. Miller, J.P.,1958, “High Mountain Streams: Effects of Geology on Channel Characteristics and Bed Material,” Memoir No. 4, State Bureau of Mines and Mineral Resources, New Mexico Institute of Mining and Technology, Socorro, N.M.
[27]. Peterson, D.F., and Mohanty, P.K.,1960, “Flume Studies of Flow in Steep, Rough Channels,” Journal of the Hydraulics Division, ASCE, Vol. 86, HY9, Proc. Paper 2653, pp-55-76.
[28]. Petryk, S. and shen, H.W,1971, “Direct measurement of shear stream in a flume, “J Hydraulic Div. Am. SOC. Civ. Eng. 97(HY – 6), 883 – 887
[29]. Thompson, S.M. and Campbell, P.L.,1979, “Hydraulics of a large channel paved with boulders” J. Hydraulics Research, 17(4), 341-354
[30]. Van RiJn, L.C.,1982, “Equivalent roughness of alluvial bed” J Hydraulics Div, Am, SOC.Civ.Eng. 108 (HY10), 1215-1218
[31]. Whiting P.J; and Dietrich W.E.,1990, “Boundary Shear Stress and roughness over mobile alluvial beds” J Hydraulic Engg 116(12), 1495-1511

Dr. Birendra Kumar Singh “Determination of Mean Depth of Flow Using Finite Difference Method for the Equation Obtained with Respect to Maximum Value of Manning’s Roughness Coefficient ” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp. 20-23 May 2018 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/20-23.pdf

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Fish Freshness Sorter

Anju K. Mathew, Anil. M – May 2018 Page No.: 24-26

The project aims at developing a non invasive fish freshness sorter that is based on image processing technique. Current methods are invasive and time consuming. The project based on utilizing the robotics and image processing technique in MATLAB to monitor major parameters that indicates the color of the eye, skin and gill. The web camera that has been interfaced with MATLAB captures the real time images of the fish under evaluation. From the image the eye of the fish detected and cropped, according to redness of the eyes the fish is sorted to various classes. The main advantage of the project is that it reduces undesired wastage of the food material.

Page(s): 24-26                                                                                                                   Date of Publication: 25 May 2018

 Anju K. Mathew
Vidya Academy of Science and Technology, Thrissur, India

 Anil. M
Vidya Academy of Science and Technology, Thrissur, India

[1] Bruno Miguel Nogueira de Souza,andI Jacques Facon, “Colorness Index Strategy for Pixel Fire Segmentation,” 2017 IEEE .
[2] Irina Mirela Apetrei, Maria Luz Rodriguez-Mendezl,I.S.JacobsandC.P.Bean, “Fish Freshness Monitoring Using an E-Tongue Based on Polypyrrole Modified Screen-Printed Electrodes ,” IEEE Sensors Journal,vol. 13 ,July 2013.
[3] Aneesh.A1 Dileep.T.N Joji Kuriakose, Kevin Varghese, Jinto Chacko “Object Sorting Robotic Arm based on Colour and Shape Sensing ,” IJSRD – International Journal for Scientific Research & Development, Vol. 4, Issue 01, 2016 |.
[4] Priya Vinayak Garad , “Object Sorting Robot Based On the Shape,” IJARIIT,Volume3, Issue5, 2017 .
[5] Ahmad Rateb Al-Najjar ,Design and the mechanism of controlling a robotic arm ,Syrian Private University ,August 2015 .

Anju K. Mathew, Anil. M “Fish Freshness Sorter” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp.24-26 May 2018  URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/24-26.pdf

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Parkinson’s Tremor Stabilization Spoon

Gifty E B, Vandana M – May 2018 Page No.: 27-28

Parkinson’s disease that affects the movement due to it’s a progressive sickness of the nervous system. It develops slowly, sometimes starting with a barely able to seen shaking in just one hand. But while a shaking may be the most well known sign of Parkinson’s disease, the sickness also commonly causes stiffness or slowing of movement. The aim of this project is to develop a supporting unit for the patients suffering from Parkinson’s disease to help them eat food without depending on any external help The tremor making steady unit uses the way of thinking of a self balancing robot is made to help the patients with Parkinson’s disease. Its main unit is an MPU sensor which contains both accelerometer and gyro meter which will detect the angle of tilt caused by the tremor and corrects it. It also makes use of a Steady operation at the other end of the unit where the tremor is stabilized and holds on to the particular object which is controlled by a switch. The tremor values can see through a mobile APP. Detachable spoon head is included for replacing or washing.

Page(s): 27-28                                                                                                                   Date of Publication: 25 May 2018

 Gifty E B
Dept. of Electronics and Communication, Vidya Academy of Science and Technology, Thrissur, India

 Vandana M
Dept. of Electronics and Communication, Vidya Academy of Science and Technology, Thrissur, India

[1]. G. Madhumitha, R. Srividhya, JoeJohnson1,D.”Physical Modeling and Control of Self Balancing Platform on a Cart ” 2016 International Conference on Robotics: Current Trends and Future Challenges (RCTFC 978-1-5090-3342-3/16/2016 IEEEAnnamalai
[2]. Gourie-Devi M, Ramu MG, Venkataram BS. Treatment of Parkinson’s disease in“Ayurveda” (ancient Indian system of medicine): discussion paper. JR Soc Med 1991;84:491–492
[3]. SangJoo Kwon, Sangtae Kim, and Jaerim Yu ”Tilting-Type Balancing Mobile Robot Platform for Enhancing Lateral Stability” IEEE/asme transactions on mechatronics,vol.20,no.3,june2015
[4]. Shubhank Sondhia, Ranjith Pillai. R, Sharat S. Hegde, Sagar Chakole & Vatsal Vora” Development of self balancing robot with
[5]. PID control” International Journal of RoboticsResearch and Development (IJRRD)2017

Gifty E B, Vandana M “Parkinson’s Tremor Stabilization Spoon” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp.27-28 May 2018  URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/27-28.pdf

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Chat Bot – An Edge to Customer Insight
Mahendra Prasad Nath, Kanika Goyal, Jugesh Prasad, Bhavya Kallur – May 2018 – Page No.: 29-32

In this fast-moving era, are you facing a problem with providing response instantly for any simple query to your customer? Is your customer/client/business unsatisfied with turnaround time for their resolution or a response? Anyone who has tried to contact a company through a representative at a call center knows how slow and frustrating the process is.
New developments in technology have opened doors to a faster, easier solution: CHATBOT.
It’s a robot which simulates human conversation to automate the kind of tasks you would usually do manually. This is not limited to answering a simple query related to a product, but can be extended to a complex predictive analysis with limited response time.
Creating your own chat bot is no longer reserved only for crazy engineers but even non-technical people can create their own bot. This can be configured and integrated to any messengers that are easily available within an organization or social network. Not to forget about the security of the confidential data, security can be put up at every level to restrict illegal usage of data.

Page(s): 29-32                                                                                                                   Date of Publication: 25 May 2018

 Mahendra Prasad Nath
VMware Software India Pvt. Ltd., Bengaluru, Karnataka 560076, India

 Kanika Goyal
VMware Software India Pvt. Ltd., Bengaluru, Karnataka 560076, India

 Jugesh Prasad
VMware Software India Pvt. Ltd., Bengaluru, Karnataka 560076, India

 Bhavya Kallur
VMware Software India Pvt. Ltd., Bengaluru, Karnataka 560076, India

[1]. Documentation – https://docs.api.ai/
[2]. https://www.slideshare.net/DoYouDreamUP/chatbots-use-benefits-and-key-success-factors
[3]. https://acuvate.com/blog/chatbots-on-skype-for-business/
[4]. https://ankitbko.github.io/2017/02/Sykpe-For-Business-Bot-Using-UCWA/
[5]. Mahendra Prasad Nath, Santwana Sagnika, Madhabananda Das, Manjusha Pandey, “Object Recognition using Cat Swarm Optimization,“ International Journal of Research and Scientific Innovation (IJRSI) , Volume IV, Issue VIIS, July 2017

Mahendra Prasad Nath, Kanika Goyal, Jugesh Prasad, Bhavya Kallur “Chat Bot – An Edge to Customer Insight” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp.29-32 May 2018 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/29-32.pdf

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Design and Simulation of Modified ALU Based on QLUT
Shreya V. Vaidya, Sheeja Suresh – May 2018 – Page No.: 33-36

In today’s world where use of semiconductor technology is so wide area occupied by the circuit and delay are main points of concern. Interconnections are known to be main reason of the problem. With the use of multi valued logic (MVL). MVL is preferable our conventional binary logic as it gives optimum speed and better data handling capacity. In this paper we propose an ALU which is based on Quaternary logic look up table. Designed ALU is compatible with Standard CMOS technology. The Schematics are designed in S spice and simulation is done in T spice of the Tanner software.

Page(s): 33-36                                                                                                                   Date of Publication: 25 May 2018

 Shreya V. Vaidya
M.tech IV Sem (VLSI), G H Raisoni Institute of Engineering and Technology, Nagpur, Maharashtra, India

 Sheeja Suresh
Assistant Professor (ETC), G H Raisoni Institute of Engineering and Technology, Nagpur, Maharashtra, India

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[13]. Prof Abhijit G Kalbande, “Implementation of Efficient Full Adder using MVL Technique” in IJSRD – International Journal for Scientific Research & Development| Vol. 4, Issue 01, 2016 | ISSN (online): 2321-0613

Shreya V. Vaidya, Sheeja Suresh “Design and Simulation of Modified ALU Based on QLUT ” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp. 33-36 May 2018 URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/33-36.pdf

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Characterization of Sewage, Design of Laboratory Scale UASB Reactor for Its Treatment and Its Performance Evaluation

Harshan K.G, Gana VB – May 2018 Page No.: 37-43

The lab scale upflow anaerobic sludge blanket reactor UASB seeded with cow dung manure was used to treat the waste water from M Dasan Institute of technology having medium strength. The cow dung seed sludge required a period of 120 days for acclimatization and the sludge bed of the reactor was stabilized in a period of 20 days and the reactor was continuously working for a period of 56 days. The physicochemical and biological parameters of waste water quality are experimented and found out and design of lab scale reactor and design of proposed UASB reactor was done .pH of effluent increased with time and ranges from 4.4 to 7.62.Turbidity of effluent decreased with time and it has a percentage removal of 72.4.Conductivity of effluent decreased with time and it has a percentage removal of 84.51.TDS of effluent decreased with time and it has a percentage removal of 85.99.BOD of effluent decreased with time and it has a percentage removal of 77.95.COD of effluent decreased with time and it has a percentage removal of 82.38.Chloride of effluent decreased with time and it has a percentage removal of 81.26. All the values were within permissible limits of discharge as per E (P) rules, schedule VI part A.

Page(s): 37-43                                                                                                                   Date of Publication: 25 May 2018

 Harshan K.G
Associate Professor, Dept. of Civil Engineering, M DIT Ulliyeri, India

 Gana VB
Student M. Tech (Environmental Engineering), M DIT Ulliyeri, India

[1]. A.A.Azimi and M.Zamanzadeh (2004), Determination of design criteria for UASB reactors as a wastewater pretreatment system in tropical small communities, International Journal of Environmental Science & Technology, Vol. 1, No. 1, pp. 51- 57, Spring 2004
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Harshan K.G, Gana VB “Characterization of Sewage, Design of Laboratory Scale UASB Reactor for Its Treatment and Its Performance Evaluation” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 5, pp.37-43 May 2018  URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-5/37-43.pdf

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Forecasting Air Quality Parameters of Kozhikode Using Artificial Neural Network
Harshan K.G, Anjali S – May 2018 – Page No.: 44-47

    Each day marks a proliferation in the development of a place, which definitely suggest a rich country, even with an acute mess of increasing air pollution, which is a serious threat for both environment and human beings. Unquestionably, this case need to have a breakthrough which itself is the aim of this project. Tracking two locations of Kozhikode district, the project destines at finding the best model for the prediction of air quality parameters in both the invigilated stations. Artificial Neural Network (ANN) is used along with Nonlinear Autoregressive Exogenous Input (NARX) network for predicting the best model having a minimum Mean Square Error (MSE) and Coefficient of Regression (R2) having a value nearer to 1. NARX network consist of two series of input and output representing the meteorological parameters and past values of pollutant concentrations respectively, where output is feedback to input for preparing the model. The model is prepared using pollutant like Sulphur dioxide(SO2), Nitrogen dioxide(NO2), Respirable Suspended Particulate Matter (RSPM) and Suspended Particulate Matter(SPM) using Levengerg Marquardt(L-M) algorithm. The best model for two stations Kozhikode city and Nallalam have 8 hidden layers and 4 hidden layers respectively, which is used for predicting the air pollutant concentration of future years by providing the input of the same using forecast sheet in Excel. The resulting values of both stations seems to have the concentration of SO2 and NO2 with in the limit of National Ambient Air Quality Standards (NAAQS) where as both SPM and RSPM have values greater than the NAAQS, which thus proves that there is a need for taking necessary safe measures.

    Page(s): 44-47                                                                                                                   Date of Publication: 25 May 2018

     Harshan K.G
    Associate Professor, Dept. of Civil Engineering, M DIT Ulliyeri, India

     Anjali S
    Student M.Tech (Environmental Engineering), M DIT Ulliyeri, India

    [1] AsghariEsfandani M and Nematzadeh H (2016), Predicting air pollution in Tehran: Genetic algorithm and back propagation Neural Network, Journal of AI and Data Mining, 4, 49-54.2.
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