19c96fd517d854497e8-554e 20220107005256137 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Engineering and Advanced Technology IJEAT 22498958 10.35940/ijeat.2249-8958 https://www.ijeat.org/ 10 30 2019 9 1 10.35940/ijeat.9.1 https://www.ijeat.org/download/volume-9-issue-1/ Department of Mathematics, School of Applied Sciences, Reva University, Bangalore, India. Yengkhom Satyendra Singh Benaki Lairenjam Department of Mathematics, School of Applied Sciences Reva University, Bangalore, India. This paper is a survey on Groebner basis and its applications on some areas of Science and Technology. Here we have presented some of the applications of concepts and techniques from Groebner basis to broader area of science and technology such as applications in steady state detection of chemical reaction network (CRN) by determining kinematics equations in the investigation and design of robots. Groebner basis applications could be found in vast area in circuits and systems. In pure mathematics, we can encounter many problems using Groebner basis to determine that a polynomial is invertible about an ideal, to determine radical membership, zero divisors, hence so forth. A short note is being presented on Groebner basis and its applications. 10 30 2019 1092 1097 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9486.109119 https://www.ijeat.org/portfolio-item/a9486109119/ Electrical Engineering, Gunadarma University, Jakarta, Indonesia. Dwi Shakti M. S. T Emy Haryatmi Electrical Engineering, Gunadarma University, Jakarta Indonesia. Vehicular Ad-hoc Network (VANET) are an emerging technology with vehicle. As a subset of Mobile Ad-hoc Network (MANET) application, VANET is considered to be a new phase of technology to the Intelligent Transportation System (ITS). VANET is a technology Using VANET vehicles can become aware of the dynamic behavior of other vehicles regardless of the driver's ability. In addition, infrastructure can obtain situational awareness at various levels of detail to manage traffic and potentially send emergency services. When traffic jam occurred in pick hour, vehicle in that area should be able to give a way to emergency services such as ambulance. Such traffic happened every day in Jakarta especially on weekdays. This research focused on designing the traffic condition and analyzing the routing protocol for VANET for Jakarta smart cities. Before implementing VANET in Jakarta, simulation using NS2 was conducted with two environment scenes. The first environment scene was the vehicle move one by one on each intersection. The second environment scene was the vehicle move in the opposite direction. The number of mobile nodes used in the environment scene as vehicle and infrastructure were 50, 100, 150, 200, 250, 300, and 350. we set 10 nodes as infrastructures for all number of mobile nodes used in the simulation and the remaining nodes as vehicles. We used more nodes as vehicle because the number of vehicles in the Jakarta was higher than the number of infrastructures. The network area used in this simulation was 2000x2000. We used constant bit rate (CBR), two ray ground propagation and omni antenna to simulate the environment scenes. The routing protocols used in this research were Ad-hoc On-Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and Destination Sequenced Distance Vector (DSDV). The result of this research showed that AODV achieved the highest throughput and the best packet delivery ratio. The lowest end-to-end delay was achieved by DSDV. Accordingly, simulation result showed that AODV has the best performance and preferable routing protocol of VANET for Jakarta environments. 10 30 2019 1098 1104 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9487.109119 https://www.ijeat.org/portfolio-item/a9487109119/ Associate Professor, Department of Electrical Engineering, The M.S. University of Baroda, Vadodara, India. Mrs. Anuradha Deshpande Mr. Akibahemad Arora PG Student, Department of Electrical Engineering, The M.S. University of Baroda, Vadodara, India. With rapid industrial and commercial growth and flourishing population, power demand is increasing rapidly. Modern methods of UHV transmission lines are important to transmit bulk amount of power more efficiently in comparison to earlier methods of transmission. 1200 KV UHV transmission line is India future and therefore forthcoming project to tackle this situation. However as line to line voltage level increases, complexity of the transmission line increases. But, with higher level of line to line voltage, complexity of transmission line increases. ROW is one of the major concerns with transmission lines. Many parameters need to take care in designing; one of them is a magnetic field distribution at surroundings of transmission line. India has initiated to expand its UHV range to 1200kv. Paper suggest magnetic field of three configurations of the 1200KV line. Horizontal and vertical configuration test lines have been installed. Analysis has been done by two methods finite element method and (Method of images) analytical method. FEM is used to solve partial differential equations. Results from both methods have been compared. 3D electric field analysis of configuration also performed. Plotted results are compared with ICNIRP standards and safety limits defined. Adverse effects of excess magnetic field is also discussed. Biological effects of electromagnetic field on people, animals and plants are also discussed. Thus paper aimed at magnetic field calculation and verification with respect to standard. It also helps to utilize less right of way. The subject is under broad development due to its advantages over lower voltage levels and holds significance in future as well. 10 30 2019 1105 1110 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9493.109119 https://www.ijeat.org/portfolio-item/a9493109119/ Department of Computer Science & Engineering, Assam University, Silchar, Assam , India Tapodhir Acharjee* Saurav Chanda Department of Computer Science & Engineering, Assam University, Silchar, Assam , India Suman Nunia Department of Computer Science & Engineering, Assam University, Silchar, Assam , India Abdul Mazid Choudhury Department of Computer Science & Engineering, Assam University, Silchar, Assam , India Sanjeev kumar Department of Computer Science & Engineering, Assam University, Silchar, Assam , India To find an appropriate doctor who is specialized to treat a certain disease while only symptoms are known is not easy job for the patients. In this paper, we describe a recommended framework to find the best doctors in accordance with patients' requirements. In the proposed system, first it considers only those doctors whose profile match with patients' requirements. Second, the best doctors will be recommended out of previously obtained doctors based on the parameter patients' feedback i.e., patients' review. Our proposal will suggest a doctor recommendation system that uses review mining technique, which can be used in those countries that have huge uneven distribution of medical resources. In our model we have used the decision tree for symptoms to disease mapping and Naive Bayes classifier for sentiment analysis which are connected to each other using a bridge of python logic and the required output is top doctors based on the users input 10 30 2019 1111 1119 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9495.109119 https://www.ijeat.org/portfolio-item/a9495109119/ Civil Engineering Department, Faculty of Technology & Engineering, Vadodara, India. Geeta S. Joshi* Dhaven Rughani Civil Engineering Department, Faculty of Technology & Engineering, The Maharja Sayajirao University of Baroda, Vadodara. India. Vijay M. Rana Civil Engineering Department, Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda, Vadodara, India. Bhadar is one of the major rivers of Kathaiwar (Saurashtra) peninsula in Gujarat, India. It originates near Vaddi (Aniali Village) about 26 km north – west of Jasdan in Rajkot district of the state of Gujarat, India at an elevation of 261 m above mean sea level. Impact assessment of climate change over Bhadar river basin is carried out using two statistical methods of Trend Analysis i.e. linear Regression, and Innovative Trend method. Effect of climate change on annual rainfall and monthly rainfall are studied. Results show that there is an overall increase in annual rainfall trend in Bhadar river basin/catchment area at all stations except one station. The results for monthly rainfall show that the rainfall in the month of July and September shows increasing trend at all stations. The results obtained using Linear Regression and Innovative Trend method are found to be consistent. 10 30 2019 1120 1123 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9496.109119 https://www.ijeat.org/portfolio-item/a9496109119/ Mechanical Engineering Department, Bharti Vidypeeth (Deemed to be university), College of Enginering, Pune - 411403, India. Mr. Mahesh J. Patil Prof. Dr. Rajendrakumar N. Patil Mechanical Enginering Department, Bharti Vidypeeth’s College of Engoneering, Lavale, Pune – 412115, Pune. The structural joints for various applications like automobile, aero planes, ships etc. used mechanical fasteners or adhesives for joining purpose. The mechanical fastener increases the weight of the joints and the adhesives have a catastrophic failure nature. So to reduce the overall weight of the joint and avoid the catastrophic failure of the joint, Hybrid Joint, which is the combination of the two methods (Bolts and adhesives) is used. The Analytical Hierarchal process (AHP) is used to select the parameters that affect the performance of the joint. The selected parameters were bolt size, tightening torque, bolt hole clearance, adhesive type, adhesive thickness, overlap length and joint material and the response variables were failure load and displacement The optimum parameters were selected by using Taguchi analysis with L27 orthogonal array experimental design. The significant parameters were found to be Adhesive type, Adhesive thickness and Joint Material. 10 30 2019 1124 1131 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9497.109119 https://www.ijeat.org/portfolio-item/a9497109119/ Depatment of Operations and IT, IBS, IFHE, Hyderabad, India Sashikala Parimi Samyadip Chakraborty Depatment of Operations and IT, IBS, IFHE, Hyderabad, India Attrition is the biggest challenges being faced by the HR managers in today’s competitive environment especially with IT/ITES sectors. The study identifies clarity, career growth and advancement, personal priorities and organizational environment as the vital antecedent factors which impacts employee attrition. Further through multi-group analysis the paper studies the impact of agile environment on the said relationships in low and high agile environment. The study uses exploratory factor analysis, confirmatory factor analysis and structural equation modeling for obatinig path linkages. In high agile group all the path linkages were highly significant and the path coefficients were stronger 10 30 2019 1132 1142 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9502.109119 https://www.ijeat.org/portfolio-item/a9502109119/ Department of Computer Science and Engineering, PDM University, Bahadurgarh (Hr.), India. Salil Abrol Ajay Dureja Department of Computer Science and Engineering, PDM University, Bahadurgarh (Hr.), India. Aman Dureja Department of Computer Science and Engineering, PDM University, Bahadurgarh (Hr.), India. The idea of the cryptocurrency was to decentralize the currency system by establishing transactions over distributed peer to peer network [1]. The technology of Blockchain was adopted to achieve this motive. The term blockchain comes from the idea of list of blocks, growing continuously over time wherein every block carries the data relating to the transactions and data regarding the cryptographical linkage using secure hash algorithms and the protocols [2]. Through this paper, we have shown the implementation of the blockchain technology so as to build the cryptocurrency. While building up the cryptocurrency, called the ‘SantCoin’, the idea about how this technology can revolutionize the traditional existing ledger systems can be upgraded so as to implement secure means of transactions over a distributed network. This implementation work suggests the use of technology in almost every governing body so that they can secure themselves and limit the dependency on human resource to do their central authoritative work [3]. 10 30 2019 1143 1151 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9506.109119 https://www.ijeat.org/portfolio-item/a9506109119/ Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India. Dr. Raju Dara *Dr. T. Raghunadha Reddy Information Technology, Vardhaman College of Engineering, Hyderabad, Telangana, India. The internet is increasing exponentially with textual content primarily through social websites. The problems were also increasing with anonymous textual data in the internet. The researchers are searching for alternative techniques to know the author of an unknown document. Authorship Attribution is one such technique to predict the details of an unknown document. The researchers extracted various classes of stylistic features like character, lexical, syntactic, structural, content and semantic features to distinguish the authors writing style. In this work, the experiment performed with most frequent content specific features, n-grams of character, word and POS tags. A standard dataset is used for experimentation and identified that the combination of content based and n-gram features achieved best accuracy for prediction of author. Two standard classification algorithms were used for author prediction. The Random forest classifier attained best accuracy for prediction of author when compared with Naïve Bayes Multinomial classifier. The achieved results were good compared to many existing solutions to the Authorship Attribution. 10 30 2019 1152 1156 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9507.109119 https://www.ijeat.org/portfolio-item/a9507109119/ M. Sc., M. Tech., Ph.D.GIS and Remote Sensing Researcher, Coimbatore Tamil Nadu. Dr. M. Balakrishnan The groundwater is the most important resources everywhere in the world and is decrease gradually. In construction, here is a need for separation of groundwater possible region. As the awareness and needs of the common people towards water is increasing the estimation of water is touched in all divisions. At the same time, surface water assets are getting to be insufficient to satisfy the water request. With the goal that systematic ordering of groundwater development using present-day system is important for the right management and use of this respected asset. Yet at the same time, groundwater assets have not yet been accurately damaged, keeping this in view, the current analysis have contained to outline the groundwater potential regions in Varattar river basin Tamilnadu & Kerala by using geospatial approach. The geospatial have turned out to be one of the substantial tools in the field of subsurface water study, which assistances in surveying, observing and monitoring groundwater capitals. Now to identify the groundwater possible region applied through various topical maps of geomorphology, streams, soil, land use/land cover and slope with IDW strategies. From the overall outcome, the groundwater investigation zone orderly into five classes called as very good, good, moderate, poor and very poor. This research to recommended that great potential zone of groundwater arise in the areas of south west north central part of study area in the Coimbatore and Palakkad districts. The result showed that converse distance weightage technique offers an effective tool for understanding groundwater possible regions for appropriate growth and management of water level resources in different hydrogeological surroundings. 10 30 2019 1157 1161 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9511.109119 https://www.ijeat.org/portfolio-item/a9511109119/ Research Scholar, Department of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India. R. Venkatesh* Vaddi Seshagiri Rao Department of Mechanical Engineering, St.Joseph’s College of Engineering, Chennai, India. S.Ashwin kannan Department of Mechanical Engineering, St.Joseph’s Institute of Technology, Chennai, India. An Aluminum Al6061 matrix composite reinforced with hybrid nano particles (Cu,Gr and Al2O3 were prepared, in the form of plates, using stir casting technique. Though the researchers are many, reinforcing a hybrid mixture in a matrix and studying the properties are unique and scanty. The material thus developed showed few unique characteristics. The machinability aspects of the material were analyzed. The conduciveness of the machining processes based on the expected surface quality and the rate of material removal were determined. Wirecut EDM was the technique adopted to machine the material and the process was optimized using the central composite design of the RSM technique. The design of experiments was done before the experimentations and the outputs were analyzed using the ANOVA option with the help of Design expert software. Such a material with good machinability could be used to develop the structural support systems like bearings, bushes, etc. 10 30 2019 1162 1174 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9512.109119 https://www.ijeat.org/portfolio-item/a9512109119/ Associate Professor, Anand International College of Engineering, Jaipur Dr. Anand Vyas E-commerce drivers begin by starting with one nation then migrating to the next. A few drivers found in some developed nations are not yet apparent in numerous emerging nations. Sometimes the drivers in a developed nation could be obstructions or less useful in different nations. A significant part of the development has happened in Asia. The region's well-organized economies especially in gathering are shown as beneficiaries of clients in making nations to get a handle on E-exchange frameworks. China's people of Internet clients is, beginning at now the world's third greatest and is becoming generously more quickly than India's. China's web usage may incite one more lift for that nation as E-exchange instruments for verifying, stock and store mastermind assignments are utilized to update capability for its enough astonishing undertakings. There are no dedicated E-exchange laws India. IT Act 2000 does not have any course of action for protecting the adolescents. The E-exchange industry is still in its basic stage in India. The essential E-exchange site was (www.fabmart.com) moved in 1999. It continued running for just twenty one years. In spite of the way that E-business industry strikes a gigantic improvement rate in India. Various factors expect a gigantic activity in it for instance business system, website collaboration, security features, portion structure, changing acquiring conduct, customer care support, cost ampleness, globalization, preparing update, economy, and fortifying and Internet advancement. Keywords : E-commerce , Growth factors, Online shopping, Industry 10 30 2019 1175 1183 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9514.109119 https://www.ijeat.org/portfolio-item/a9514109119/ (Research Scholar), Amity Business School, Amity University Noida, India Rachna Yaduvanshi Prof (Dr) Sanjeev Bansal Amity Business School, Amity University Noida, India Dr Anita Kumar Amity Business School, Amity University Noida, India The concept of traffic congestion and traffic management is ambiguous in nature. The traffic and congestion is dependent on a number of factors that might impact the stretch of road or the framework of the traffic management systems. As the evolution of internet in last one decade and its reach to the very last person on this planet, this provides the basket of new opportunity of managing the traffic and its patterns on the basis of live traffic data from the onsite cameras, sensors, and the google maps traffic forecast the situation of traffic congestion would be avoided, which directly helps in reducing the load on environment and saving some valuable time of the commuters, and indirectly having large savings on the countries resources. In this research paper the authors have identified the factors affecting the management, flow, and working of traffic on the toll roads, national highways, and dedicated fright corridors in specific from the literature. The identified factors have been analyzed using quantitative statistical tools such as: relative importance index, Cronbach’s alpha, and cluster analysis to know the predictor importance. For this study a total of 192 valid responses were received using structured questionnaire survey. On the basis of data analysis the recommendation have be drawn and shared with the government authorities to be implemented on the highways to facilitate the commuters and all the other stakeholders associated with the traffic and traffic management. The findings of the relative importance index conclude that the most significant attributes of traffic management are No tolling for e-vehicles, use of information boards to avoid any traffic situations, and savings on fuels. Furthermore the findings of the cluster analysis concludes that the most important predictor is no-tolling for e-vehicles, followed by savings on fuels. 10 30 2019 1184 1189 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9516.109119 https://www.ijeat.org/portfolio-item/a9516109119/ Ph.D Scholar in Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Anantapuramu. Malle Raveendra Dr.K Nagireddy Professor in Electronics and Communication Engineering NBKR Institute of Science and Technology. Recently, video tampering process becomes easier due to the rapid advancements in user-friendly editing software and multimedia technology (e.g., Mokey by Imagineer Systems, and Photoshop and Premiere by Adobe). This technologies may highly tamper the original videos, so that the audience gets mislead. Nowadays, MPEG-4 codec is included in a large proportions of video cameras and surveillance systems. Therefore the double compression detection process included as an initial step in the video forensic is receiving a high significance. In this paper, the double compression artifacts is detected by adopting the Markov based features, which identifies the interpolated original videos. The double compressed frames are then segmented by introducing an SLIC super pixel segmentation technique. Here, the feature extraction is performed by applying the scale information that is obtained from the multi-scale Gabor filters. The features of this Gabor scale accurately extract the structural features and also reduce too much of redundancy. This extracted features are then provided to DNN (deep neural network) for forgery detection. In this video forensic process, DNN classifier is included for forgery detection. The CNN classifier is included in various existing forgery detection techniques. But, in our work we include DNN because it contains number of hidden layers which provide accurate results for this forgery detection process. To improve the DNN performance, Moth Search Optimization (MSO) algorithm is introduced in this forgery detection technique. Every nook and corner of this world we can able to find the surveillance cameras for security purpose. But, some fraudsters perform forgeries in this recorded videos for their own benefits. To identify this, a lot of forgery detection techniques are coming into existence. So in this work, we introduce the DNN based MSO to perform the forgery detection in videos.This implementation is processed in python simulation platform. The parametric evaluations are taken in terms of F1-Score, average accuracy, Precision, Recall and. Experimental results will provide improved performance in video forgery detection. 10 30 2019 1190 1199 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9517.109119 https://www.ijeat.org/portfolio-item/a9517109119/ Uttarakhand Technical University, Sudhowala (Uttarakhand), India. Dr. Abhishek Goyal* Dr. Mridula Singh Uttarakhand Technical University, Sudhowala (Uttarakhand), India. Anand Srivatava Uttarakhand Technical University, Sudhowala (Uttarakhand), India. In recent times many technological advancements are coming in the domain of road safety as accidents has been increasing at an alarming rate and one of the crucial reason for such accidents is lack of driver’s attention. Technical advancements should be there to reduce the frequency of the accidents and stay safe. One of the way to achieve the same is through Lane Detection Systems which work with the intention to recognize the lane borders on road and further prompts the driver if he switches and moves to erroneous lane markings. Lane detecting system is an essential component of many technologically intelligent transport system. Although it’s a complex goal to achieve because of vacillating road conditions that a person encounters specially while driving at night or even in daylight. Lane boundaries is detected using a camera that captures the view of the road, mounted on the front of the vehicle. The approach used in this paper changes the image taken from the video into a set of sub-images and generates image-features for each of them which are further used to detect the lanes present on the roads. There are proposed numerous ways to detect the lane markings on the road. Feature-based or model-based are the two categories of the lane detection techniques. Down-level characteristics for example lane-mark edges are used by the feature-based functions. 10 30 2019 1200 1205 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A94256.109119 https://www.ijeat.org/portfolio-item/a94256109119/ Research Scholar, Department of Aerospace Engineering, Jain University, Bangalore, Scientist, Centre for Airborne Systems, DRDO, Bangalore, India. S. Ilavarasu Dr. A C Niranjanappa Scientist, Centre for Airborne Systems, DRDO, Bangalore, India Dr. P A Aswatha Narayana Visiting Professor, IIAEM, Jain University, Bangalore, India. Radome is a structural weather proof enclosure that protects radar system from the environment. Radomes are manufactured using composite materials that have low dielectric constant and low loss tangent. The selected materials should have high mechanical strength to withstand aerodynamic and bird impact load conditions. Thus, the design of a radome is always a trade-off between electrical and structural requirements. In the present study, set of Uni-directional (UD) and Bi-directional (BD) glass fabric used as high density face sheet with low density foam ROHACELL 71 Hero grade and Nomex honeycomb as core materials are used to form sandwich radomes. These samples are tested for mechanical performance as per ASTM standards. The maximum load bearing capacity was found higher for the Nomex sandwich with UD face, by 27% than the Rohacell sandwich with UD Face sheet. Nomex sandwich with BD face sheet have higher compressive modulus among other three configurations. The bird impact simulation results show sandwich panel selected is capable of withstanding bird impact load at a velocity of 150 m/s. The measured antenna patterns with and without radome material for frequency range from 2.5 GHz to 4.5 GHz is also discussed. 10 30 2019 1206 1212 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9578.109119 https://www.ijeat.org/portfolio-item/a9578109119/ Department of E&C, VSM’SSRKIT Nipani Bharamappa Kattimani Dr. Jagadeesha S Department of E&C, SDMIT Ujire A microstrip patch antenna is low profile antenna mounted over a high impedance electromagnetic bandgap (EBG) substrate is proposed. In this paper, Microstrip patch antenna with rectangular EBG structure is proposed and studied. The proposed antenna has compact structure with a total size of 29.44x38.036mm2. The designed antenna resonates at Particular Single frequency with improved return loss, VSWR and gain. The resonant frequency of the antenna 2.4GHz without and with EBG and improved return loss of -17.61dB and -18.30dB. With rectangular EBG the antenna gives improved gain of 2.09 dB. The Proposed antenna is simulated by using Simulation software ie.(IE3D) and simulated results are in good with practical antenna characteristics. 10 30 2019 1213 1217 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9580.109119 https://www.ijeat.org/portfolio-item/a9580109119/ School of Housing, Building and Planning, Universiti Sains Malaysia, Malaysia. Kwek Shi Ying Hanizam Awang School of Housing, Building and Planning, Universiti Sains Malaysia, Malaysia. Depletion of natural aggregate has created more research to explore the utilization of industrial waste as alternative aggregate in concrete construction. The use of industrial wastes in making of artificial aggregate will lead to greener environment. In this study an attempt has been made to find the suitability of waste materials of palm oil fuel ash (POFA) and water treatment sludge as possible substitute for natural coarse aggregate. Specific gravity, water absorption, crushing strength and impact value have been tested for this mixture. Both raw materials were mixed with lime and alkaline activator. The artificial aggregate was air-cured at non-sintered temperature. Results show that the different mix proportions of the POFA to silt affected the performance of the artificial aggregate. Specific gravity and water absorption increased with the proportion of silt. Lightweight aggregate comprising silt combined with POFA and alkaline activator has the potential to produce a good performance of concrete. These benefits contribute to the production of energy-efficient building materials. 10 30 2019 1218 1223 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9589.109119 https://www.ijeat.org/portfolio-item/a9589109119/ Department of Electronics & Communication Engineering, N. M.A. M. Institute of Technology, (Visvesvaraya Technological University, Belagavi) Nitte 574110, Udupi district, Karnataka, India. Bommegowda K. B. Durga Prasad Department of Electronics & Communication Engineering, N.M.A.M. Institute of Technology, (Visvesvaraya Technological University, Belagavi) Nitte 574110, Udupi district, Karnataka, India. Portable power banks are comprised of battery in a case with a circuit to control power flow. Power banks are becoming increasingly popular because the battery life of phones, tablets and portable media players is exceeded by the number of time gadgets used in aday. In this paper, the design and implementation of power bank using supercapacitors as a charge storage device is presented. Existing power banks use batteries to store charges and it takes a long time to charge completely. In this work, batteries are replaced with supercapacitors to take advantage of its quick charging and slow discharging feature. Supercapacitors are charged using charging and regulation circuit. An output regulator circuit delivers the necessary power for charging portable devices. A display is also implemented using a PIC microcontroller for monitoring. 10 30 2019 1224 1228 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9592.109119 https://www.ijeat.org/portfolio-item/a9592109119/ Research Scholar, JNT University Anantapur, Ananthapuramu, A.P., India K. Gunavardhan* Dr. I. Prabhakar Reddy Professor, Department of EEE, N.B.K.R.I.S.T, Vidyanagar, Nellore, A.P., India. Dr. P. Sujatha Professor, Department of EEE, JNTU College of Engineering, Ananthapuramu, A.P., India Growing phase of industry and living standards in modern world brings drastic changes in modern utility structure and control. Gradually, green sources takes place of traditional sources and aids the current utility power delivery for consumer loads. Green source and more sensitive loads integration to grid demands effective controller and reliable grid structure. In this paper, an effective grid structure with dynamic multi converter controller is proposed to alleviate disturbances in current and voltage on parallel feeders simultaneously. Soft computing based controller effectively integrates the photovoltaic green source and utilizes the power generated to aid the controlling action and to provide the desired power required on lines. Dynamic multi converter controller takes care of current and voltage disturbance alleviation, green source power integration and harmonics suppression on parallel lines under distorted & balanced and distorted & unbalanced source conditions. Performance of proposed Dynamic Multi Converter Controller with traditional and soft computing techniques is studied and compared in MATLAB/SIMULINK platform. 10 30 2019 1229 1235 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9597.109119 https://www.ijeat.org/portfolio-item/a9597109119/ Graduate Engineer Trainee, Oriental Carbon and Chemical Limited, Dharuhera, India. Prabhsimran Singh Parminder Singh Assistant Professor in Chemical Engineering Department at Thapar Institute of Engineering & Technology, Patiala, India. Effects of feed properties during co-carbonization of vacuum residue (VR) and bio oil feed mixed in different proportions in a batch reactor at temperature range of 480°C-490°C and at atmospheric pressure on coke lumps produced after reaction was studied and proposed based on experimental results obtained. Detailed experimental study was done on co-carbonization process of bio-oil and vacuum residue mixed in different proportions in an experimental setup capable of producing solid coke comparable to that produced in commercial delayed coker which helps to study effects of parameters like temperature and pressure on product properties. Product yield and specifications of products and feed were recorded and studied in terms of thermogravimetric analysis. Coke produced was analyzed as compared to Anode grade coke, for its spongy appearance and catalogued based on its properties when compared with anode grade coke. Addition of bio oil to vacuum residue up to 1:1 indeed ameliorate the hardness of coke and reduce the VCM content of coke, transforming it to better quality sponge coke and can be used as anode grade coke. Coke yield was improved by increasing micro carbon residue (MCR) weight percentage. Additionally, asphaltene content of feed directly contribute to solid product yield and gas yield reinforce the anisotropy of coke formed that govern the coke quality. Bio-oil enhance the gas yield till 1/1 mixture required to improve the coke quality. 10 30 2019 1236 1240 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9617.109119 https://www.ijeat.org/portfolio-item/a9617109119/ Department of Electronics and Telecommunication Engineering ,Yeshwantrao Chavan College of Engineering , Nagpur, India. Chetan S. Gode Atish S. Khobragade Department of Electronics Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India. Object detection in presence of complex background and illumination variation is important image analysis problem with many applications. Most of the object detection algorithms use local image descriptors which are computed from interest points based on luminance information and neglect precious color information of an object. If appearances of the object to be detected contain multiple colors in non-homogeneous distributions then it makes it difficult to detect these objects using shape features. In this context, we propose a robust algorithm designed to detect a class of objects using a descriptor which is computed from color information of an object. Clusters are formed in Hue and Saturation (HS) color space of an object using k-means clustering and cluster analysis based on number of pixels belong to each cluster, object detection is performed. Use of clustering algorithm in color space of an object to form descriptor reduces the large dimensionality of the histogram bins in the computation. The performance of the algorithm is demonstrated by experimentation carried out on standard dataset GroZi-120. Experimental results shows that the proposed algorithm is insensitive to scaling, object rotation, illumination variations and capable of handling cluttered background effectively. Finally results shows that proposed algorithm outperforms closely related algorithm by a decisive margin. 10 30 2019 1241 1247 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9620.109119 https://www.ijeat.org/portfolio-item/a9620109119/ Assistant Professor, Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, Telangana Ravi Sekhar S Chittaranjan Das V Professor, Department of Mechanical Engineering, RVR & JC College of Engineering, Guntur, Andhra Pradesh Govardhan D Professor, Department of Mechanical Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana Ram Subbiah Associate Professor, Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, Telangana Surfacing With Friction Is A Process Derived From Friction Welding With Advantages Over Commercial Fusion Welding Processes, With Solid Phase Bonding. Here An Experiment Is Conducted To Produce Friction Surface Coating For Three Different Materials Like Aluminum And Stainless Steel And Tool Steel M2 Coating On Low Carbon Steel By Friction Surfacing. The Aim Of This Work Deposition Of Different Materials Is To Identify The Feasibility Of Friction Surfacing And Industrial Applications, Testing Of Deposits For Quality Evaluation Are Carried Out. 10 30 2019 1248 1251 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9621.109119 https://www.ijeat.org/portfolio-item/a9621109119/ Professor in CSE dept, GRIET, Hyderabad, India. Dr. K. Anuradha V. Srilakshmi Assistant Professor in CSE dept, GRIET, Hyderabad, India. Madhuri Bandla pursuing master’s degree program in Computer science and engineering in GRIET, Hyderabad, India. Utility-mining is the present developing discipline of information-mining. Utility-mining combines different structures such as High relevant item-set mining, Relevant successive item-set mining, Negative relevant item-set mining, Uncommon high relevant item-set mining and so forth. Each procedure of these item-sets mining doesn’t acknowledge length of item-sets. An ongoing improvement in the field of Utility-mining is high normal utility item-set mining. The normal Utility-mining deals with length of item- sets alongside the utility of item-sets. Here few calculations are introduced to recover high average relevant item-sets present in the database. Primary target of the present work was to look at the three High Normal Utility Models calculations:1)High Normal Utility Models (HAUP) calculation, 2)High Normal Utility Item-Set-Excavator (HAUI-Miner) Calculation and 3)Productive High Normal Utility Pattern-Mining (EHAUPM) calculation. The execution-time and memory-space are examined as achievement measures for correlation. The EHAUPM calculation is more efficient compared to other calculations; this is discovered from the performed analysis. 10 30 2019 1252 1256 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9622.109119 https://www.ijeat.org/portfolio-item/a9622109119/ Department of Computer Science North Dakota State University Fargo, USA Semiu A. Akanmu Abdul Rehman Gilal Department of Computer Science Sukkur IBA University Sindh, Pakistan Loan Default Prediction For Social Lending Is An Emerging Area Of Research In Predictive Analytics. The Need For Large Amount Of Data And Few Available Studies In The Current Loan Default Prediction Models For Social Lending Suggest That Other Viable And Easily Implementable Models Should Be Investigated And Developed. In View Of This, This Study Developed A Data Mining Model For Predicting Loan Default Among Social Lending Patrons, Specifically The Small Business Owners, Using Boosted Decision Tree Model. The United States Small Business Administration (Usba) Publicly-Available Loan Administration Dataset Of 27 Features And 899164 Data Instances Was Used In 80:20 Ratios For The Training And Testing Of The Model. 16 Data Features Were Finally Used As Predictors After Data Cleaning And Feature Engineering. The Gradient Boosting Decision Tree Classifier Recorded 99% Accuracy Compared To The Basic Decision Tree Classifier Of 98%. The Model Is Further Evaluated With (A) Receiver Operating Characteristics (Roc) And Area Under Curve (Auc), (B) Cumulative Accuracy Profile (Cap), And (C) Cumulative Accuracy Profile (Cap) Under Auc. Each Of These Model Performance Evaluation Metrics, Especially Roc-Auc, Showed The Relationship Between The True Positives And False Positives That Implies The Model Is A Good Fit. 10 30 2019 1257 1261 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9626.109119 https://www.ijeat.org/portfolio-item/a9626109119/ Associate Professor, Department of MCA, Siddaganga Institute of Technology, Tumkur, Karnataka, India Asha Gowda Karegowda Pushpalatha.K. R Assistant Professor,Department of MCA,Sri Siddhartha Institute of Technology, Sri Siddhartha Academy of Higher Education (SAHE), Tumkur,Karnataka, India. Pramod. P Student, Department of MCA,Siddaganga Institute of Technology, Tumkur Karnataka, India. The peanut a globally adopted vegetable protein with appreciable nutritive contents. The grading is one of the significant way to ensure that quality of the peanuts regulate the appropriate price in market. The proposed work is carried out in two phases. As part of first phase segmentation is done using canny edge detection followed by extraction of four Shape Features (SF): Area (Ar), Major Axis (MajAxis), Minor Axis (MinAxis), Perimeter (PeriMt). As part of second phase, Fuzzy Inference System (FIS) has been adopted for grading of four categories of peanuts. .The interval scaled shape features obtained in phase one are converted to Linguistic Terms (LingTerms). The fuzzy data base rules are attained using Association Rules with the constraints that the consequent can have only class label. The proposed work is developed as mobile app which takes peanut image as input and processes the image using FIS and provides the output in terms of pie chart. The pie chart provides the percentage of different qualities of peanuts (low/medium/good/fine) in the input image. The proposed work resulted in an accuracy of 95% when compared with the ground truth. The work can be applied in automation process for grading of food grains using mobile apps, which helps the lay customer to know about the quality of peanuts. The work can also be used for auto separation of peanuts for packing based on grade of the peanuts. 10 30 2019 1262 1269 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9629.109119 https://www.ijeat.org/portfolio-item/a9629109119/ Professor, Department of Mechanical Engineering, Christian College of Engineering & Technology, Bhilai, Chhattisgarh, India Dr. Mrinal Kanti Manik Radheshyam H. Gajghat* Associate Professor, Department of Mechanical Engineering, Christian College of Engineering & Technology, Bhilai, Chhattisgarh, India Anooj Joseph PG Student, Department of Mechanical Engineering, Christian College of Engineering & Technology, Bhilai, Chhattisgarh, India Presently scientist and engineers are looking for the new generation of materials that are easily biodegradable as well as maintain sustainability to protect our environment. Concept of smart materials and recycling of the waste materials are the key considerations at the face of material scientist. Nowadays natural fiber composites are preferred over conventional synthetic fiber composites in many industrial applications. In this study jute fiber, human hair and coconut coir reinforced composites bonded with epoxy resin were prepared using hand lay-up technique to compare their mechanical properties. For this purpose, an open type wooden mould was used. This study reveal that the jute fiber reinforced composite exhibit better toughness, tensile and shear strength than human hair and coconut coir composites. Also it shows that human hair composite has better hardness property than jute fiber and coconut coir composites. Overall jute fiber and human hair composites show far better mechanical properties than coconut coir composite. 10 30 2019 1270 1275 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9631.109119 https://www.ijeat.org/portfolio-item/a9631109119/ Assistant Professor in Lyallpur Khalsa college for women. Jalandhar panjab india. Balwinder kaur Dr Rattan K. Datta Adviser,DST, Govt. of India Mobile ad-hoc networks (MANETs) are inescapable independent Wireless Sensor Networks (WSNs) that will assume a fundamental job in upcoming trends of Internet-of-Things (IoT) communication, somewhere sharp-witted gadgets will a tendency to associated in a totally scattered manner. The IoT is a type of wireless heterogeneous network of different types such as WSNs, MANETs, Zig-Bee, WI-FI, and RFID. So a trust based routing in MANET based IoT network is a difficult task for better Device to Device (D-2-D) communication. Be that as it may, because of the absence of framework and the nonappearance of concentrated administration in MANETs, networks are covered with different security threats. Some inward mobile sensor nodes in these positive feature based obliged wireless networks may bargain the routing mechanism in order to attacks to do unmistakable sorts of the data packet sending mischievous activities. Methods: In order to address this type of IoT communication issue, in our previous research paper, we devised a routing protocol in IoT based on the secure and energy efficient trust aware approach using the Particle swarm based (PSO) Optimized Artificial Neural Network (ANN), it is used to classify the packet dropping adversaries before the transmission by supervising the intermediates communicating sensor nodes nature to discover route and their maintenance period. But the achieved result should be better by using the concept of Convolutional Neural Network (CNN) with PSO instead of ANN. In this paper, we perform sensitivity analysis of IoT communication using Secure and Energy Efficient Trust Aware (SEETA) routing mechanism with PSO based optimized CNN and it is used to identify the unlike parameters variation in distinctive scenarios in the existence of data packet dropping attacks or malicious nodes. Also the proposed work recapitulates the trusted route discovery mechanism with their maintenance process where routing is based on our existing SEETA protocol with the purpose of countering the certain attack or malicious patterns along with optimized CNN. Results: Simulation is conducted with MATLAB based network simulator which indicates the correct choices of parameter values for proposed IoT network scenarios. When the QoS constraints of IoT network is calculated and compared with various existing approaches, the proposed PSO based CNN with SEETA routing mechanism achieves the better performance of 99.31% in terms of data delivery rate with reduction of 16.76% in energy consumption rate as compare to exiting works. Conclusion: During simulation of proposed IoT network based on different network conditions, we observed that the achieved performance is best in terms of Energy Consumption with Throughput and Loss Rate. After that we also obtained the achieved transmission delay is less and Alive Nodes Count is more with maximum Detection Rate. 10 30 2019 1276 1285 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9632.109119 https://www.ijeat.org/portfolio-item/a9632109119/ Assistant Professor, Department of Electronics and Telecommunication, Shri Gulabrao Deokar College of Engineering, Jalgaon, INDIA Prof.Rajesh.R. Karhe Dr.S.N. Kale Associate Professor, Department of Applied Science, Sant Gadge Baba Amravati University, Amaravati,INDIA In order to implement the heart disease prediction algorithms, the scanned ECG images need to be digitized. The ECG image digitization from ECG images deals with converting the ECG images in to digital format which can be processed by heart disease prediction algorithms. To present the Heart disease prediction algorithms, the digital signals can be directly applied. In this paper we have presented an effective ECG digitization technique using Dijikstraw’s shortest path algorithm. The scanned ECG images are oversampled 8 times. Then ECG curve is traced using Dijikstraw’s shortest path algorithm. The shortest path computed represents the scanned ECG signal in digitized form which can be directly used for heart disease prediction. The proposed method gives the accurate digitization by reducing the complications of the digitization process 10 30 2019 1286 1289 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9634.109119 https://www.ijeat.org/portfolio-item/a9634109119/ Department of Electrical and Electronics Engineering, Amity University Uttar Pradesh, Lucknow Campus, Lucknow, India Stuti Shukla Datta Namrata Dhanda Department of Computer Science and Engineering, Amity University Uttar Pradesh, Luknow Campus, Lucknow, India This work deals with Hilbert Huang transform and discriminant analysis based assessment of power signals. Hilbert Huang transform is a combination of Empirical mode decomposition (EMD) and Hilbert Transform. EMD is a data assisted processing technique that works on the time scale difference between local extremas (maxima and minima points of a signal). Unlike Fourier Transform, Wavelet Transform and Stockwell Transform, EMD does not employ any basis function or a window function and highly depends on the data of the signal. Power system is a highly vulnerable system subjected to several technical constraints and hence deviation of power signals from their normal level is inevitable. Thus, in order to study the reasons that cause the deviation of normal values, signal processing technique based on EMD is applied to power signals which are obtained by simulating various power scenarios in MATLAB Simulink platform. Decomposed components are then transformed in the frequency domain using Hilbert Transform. Hilbert transform helps in the extraction of features of the signal in consideration. These features are then subjected to discriminant analysis based classifier to identify the class of the raw input. Efficiency of the methodology is evaluated and results obtained are highly promising. 10 30 2019 1290 1293 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9635.109119 https://www.ijeat.org/portfolio-item/a9635109119/ Department of Electronics and Telecommunication, Government College of Engineering, Amravati/ Sinhgad Academy of Engineering, Pune, India. Vishal D. Bharate Devendra S. Chaudhari Department of Electronics and Telecommunication, Government College of Engineering, Jalgaon, Jalgaon, India. Mayur D. Chaudhari Data Architect, Parkar Labs, Pune, India. Human-computer interaction (HCI), in recent times, is gaining a lot of significance. The systems based on HCI have been designed for recognizing different facial expressions. The application areas for face recognition include robotics, safety, and surveillance system. The emotions so captured aid in predicting future actions in addition to providing valuable information. Fear, neutral, sad, surprise, happy are the categories of primary emotions. From the database of still images, certain features can be obtained using Gabor Filter (GF) and Histogram of Oriented Gradient (HOG). These two techniques are being used while extracting features for getting the expressions from the face. This paper focuses on the customized classification of GF and HOG using the KNN classifier.GF provides texture features whereas HOG finds applications for images exhibiting differing lighting conditions. Simplicity and linearity of KNN classifier appeals for its use in the present application. The paper also elaborates various distances used in KNN classifiers like city-block, Euclidean and correlation distance. This paper uses Matlab implementation of GF, HOG and KNN for extracting the required features and classification, respectively. Results exhibit that the accuracy of city- block distance is more . 10 30 2019 1294 1298 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9639.109119 https://www.ijeat.org/portfolio-item/a9639109119/ Department of Mathematics, Muhammadiyah University of Mataram, Mataram, Indonesia Syaharuddin Dewi Pramita Department of Mathematics, Muhammadiyah University of Mataram, Mataram, Indonesia Toto Nusantara Department of Mathematics, State University of Malang, Malang, Indonesia Subanji Department of Mathematics, State University of Malang, Malang, Indonesia. One measure of the progress of a region or country is the increase in the Human Development Index (HDI) which includes life expectancy, per capita income, and old school expectations. HDI becomes an essential reference in time-series data, so it needs to be done forecasting process with reliable method. We use HDI data as much as the last nine years in West Nusa Tenggara province, which is one of the regions with the highest HDI acceleration in Indonesia in recent years. We do forecasting by comparing three methods namely Back Propagation (BP), Neuro-Fuzzy (NF), and Radial base Function (RBF), covering forecasting with 3 models of training and testing on the Back Propagation method, 9 training and testing models on A Neuro-Fuzzy method, and 1 training and testing model in the Radial base Function method. While the parameter accuracy (error) used in this forecasting is Mean Square Error (MSE). Based on the results of the simulation obtained NTB province predictions in 2019 using the Back Propagation (BP) method of 67.46 (increased by 0.23%); The RBF method amounted to 67.3 (fixed); and the NF method of 67.18 (decreased by 0.17%). From these results, the conclusion that in this case, the BP method is very good at doing simulation and decision-making results. The results were obtained from simulated data witt type training TRAINGDA, TRAINGDX, and TRAINRP. But simulation using type TRAINRP has the best parameter output with a performance (R) of 0.99194, a validation check of 1000, a gradient of 13.8, and a level of accuracy of 99.39%. 10 30 2019 1299 1304 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9640.109119 https://www.ijeat.org/portfolio-item/a9640109119/ Department of Computer Applications, Faculty of Science and Humanities, SRM Institute of Science and Technology, Chennai, India. Jayashree R In community-driven ranking systems participants with superior scores acquire strong reputation than low scored participants. The community-question-aswering websites, like stackexchange network, participants with unreciprocated or unnoticed questions for a long time get a badge called tumbleweed without taking into account of their earlier period performance. The user-driven question and answering website considers this reward as a consolation prize and discourages them instead of encouraging. Mostly, the users who ask unnoticed questions are either a new or less scored participants. The center of attention of this research work is to propose a recommendation system that prevents unnoticed questions from the participants who are about to receive a tumbleweed badge. A splay-tree is a tree with a self-balancing ability which brings the newly accessed node to the apex of the tree. In this paper, the splay-tree correspond to participants’ ranks and the highlight of the work is to raise average or beneath average scorer to apex without disturbing existing toppers. 10 30 2019 1305 1310 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9643.109119 https://www.ijeat.org/portfolio-item/a9643109119/ Department of Textile Science and Designing, S.N.D.T University, Mumbai, India. Khushboo Shrimali Dr. Ela Manoj Dedhia Associate Professor & Head of Department Textile & Fashion Technology, Nirmala Niketan College of Home Science, Mumbai, India. The inherent properties of the textile fibres provide room for the growth of micro-organisms. There are many anti-bacterial fibres and chemicals available in the market but unfortunately, they are from synthetic base and are not eco-friendly. Consumers in India are taking lead in prompting manufacturers to adopt clean technologies to produce eco-friendly products. Many natural plant products such as extracts from roots, stems, leaves, flowers, fruits and seeds shows anti-microbial properties. In the present study, anti-microbial finish has been imparted to cotton fabric using ethanolic and acetonic extracts of Cinnamon Bark and Garcinia indica by direct application and by microencapsulation. The ethanolic extract was prepared by using10 gms of herbal material in 100 ml of ethanol and allowed to stand for 24 hours. The acetone extract of the herbs was prepared by refluxing 40gms of each herb in 400 ml of acetone in a Soxhlet extractor. The extracts were applied by directly soaking the fabric in ethanol extract overnight and also by Microencapsulation (for acetone extracts). For microencapsulation, the herbal extract was used as the core material and Gum acacia as the wall material. The treated samples were then tested for their anti-microbial efficiency and also the wash fastness of the finish. It was observed that both the herbal extracts when applied on cotton fabric gives it an excellent anti-microbial property against both gram positive and gram-negative bacteria i.e. Staphylococcus aureus and Klebsiella pneumonaiae. Regarding the wash fastness of the treated samples, it was observed that the finish does not last long. The anti-microbial activity diminishes with every wash and at the end of 5th wash cycle no activity was seen against the selected microbes. However, the limitation of this herbal anti-microbial finish is that it needs to be applied on fabric that is used for disposable products or the products that requires very less washing. The results indicate that the treated fabric is 99.99% anti-microbial and can be used in hygiene products where less washing is required like pillows, curtains, disposable bandages and quilts. 10 30 2019 1311 1314 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9645.109119 https://www.ijeat.org/portfolio-item/a9645109119/ Research Scholar, , Department of Civil Engineering, ShriGuru Gobind Singhji Institute of Engineering & Technology, Nanded, Mahrashtra, India Ansari U. S. Dr. Patil L. G. Associate Professor, Department of Civil Engineering, Shri Guru Gobind Singhji Institute of Engineering & Technology, Nanded, Mahrashtra, India In irrigation, sewer systems and drainage engineering side weirs are used to as a hydraulic control structure from many decades. Labyrinth side weir is a side weir with increased crest length due to folding in plan view as it provides additional length for a given opening. As a flow diversion structure in irrigation, land drainage, urban sewage systems and in intake structures. Labyrinth side weirs can be used more efficiently than conventional side weirs. In this review paper some investigations of researchers with different parameter affecting coefficient of discharge and discharging capacity of side weirs are presented. In review it seems that different parameters are affecting on discharge of side weir has been considered in empirical equations given by researcher but few parameters are left for consideration. In this paper effect of additional parameters like side weir thickness and submergence condition is evaluated by CFD models which can be a research tool to investigate future scope. 10 30 2019 1315 1319 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9650.109119 https://www.ijeat.org/portfolio-item/a9650109119/