bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancement of Plant Disease Detection Framework Using Cloud Computing and GPU Computing
Authors:   Research Scholar, RIMT University, Mandi Gobindgarh., Sharma* Parul , Berwal Dr. Yash paul Singh ,   Additional Secretary, Haryana State Board of Technical Education , Haryana, Ghai Dr .Wiqas ,   Associate Professor , Computer Science Engineering, RIMT Unuiversity , Mandi Gobindgarh.
Published: November 2019

GPUs are very useful in high performance computing. With the emerging new trend of cloud environments with GPU instances are now gaining popularity in many real time applications. GPUs in a cloud environment still needs a long way to initiate various challenges in a cloud .The gap for making this as a shared resource in the cloud is still at preliminary level and still limited to many real life problems like plant disease detection at a grass root level. Timely information to farmers about diseases is still a great bottleneck for farmers. Due to this, farmers pour many rounds of pesticides to prevent their crops from diseases. But due to lack of proper ICT, farmers are not informed properly about their crop diseases which result in high loss to ecological balance and community people. Thus, to solve the problem of delayed updation about their crop diseases to farmers, GPU processing is used instead of Normal CPU processing on the cloud. This research paper focuses on the applications of GPU Computing within cloud and to study the performance of GPU image processing and Normal CPU image processing with respect to plant disease detection framework. This paper also addresses the problem of throttling in normal CPU when used for large datasets. GPU processors had shown a four-fold increase in performance as compared to normal datasets. GPU results shown 63 times faster as compared to normal CPU for analyzing 52,486 images of healthy and diseased leaf images. This include 16 plant types and 55 leaf diseases.
Posture Detection and Alerting System Using Rtsc Algorithm
Authors:   Department of Information Technology, Hindustan Institute of Technology & Science,Chennai., Kumaresan A. , Anand M. Suresh ,   Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai., Keshav K.Deepak ,   Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai., Karthikeyan G. ,   Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai., Vigneshwaran B. ,   Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai.
Published: November 2019

In order to detect and correct the posture we developed a wearable garment integrated device to sense the posture of the user and analyze the posture within the device to alert the user remotely. Further the posture data are sends to the server to analyze the data in detail. Device contains the accelero-meter sensor to detect the angle of the user. From the angle the posture is calculated using the microcontroller in the device. The posture is analyzed and if bad posture is detected then the buzzer sensor present in the device alert the user to correct the posture. The bad posture data are sends to server through the wifi module present in the device. The data are stored in the database along with time, date and device id. The month wise statistical graph is developed from the data in the database. Daily analyzes of the posture data is done to provide the average posture of the user and worst posture of the user. The report of the analyzed data can be generated in the website through user authentication.
Temperature Effect on Tension Force of Stay Cable of Cable-Stayed Bridge
Authors:   Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia., Suangga Made , Candra Hendy ,   Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia., Hidayat Irpan ,   Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia, Yuliastuti  ,   Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia.
Published: November 2019

Cable is the main element of cable-supported bridge, such as suspension bridge, cable stayed bridge and arch bridge. For the cable-stayed bridge, the cable receives the load from the bridge deck and transfer it to the pylon. As the ambient temperature change, the internal force in bridge element including stayed cable will change. This research investigate the ambient temperature effect to the tension force of stayed cable of cable-stayed bridge by comparing the result of finite element model analysis with the field measurement form electromagnetic sensor data. The finite element model of Merah Putih Cable-Stayed Bridge has been developed based on detailed engineering design data. The finite element model is validated using the natural frequency data from dynamic load test of the bridge. The ambient temperature and bridge elements temperature were measured for 24 hours. The finite element analysis were conducted based on field measurement data and the contribution of pylon and girder temperature to the cable tension forces variation was investigated. The output of finite element analysis then compared to the actual cable tension as measured by an electromagnetic sensor. It was found that the ambient temperature will affecting the magnitude of tension force at stay cable and the variation of cable tension has similar pattern of both from the finite element model and electromagnetic data. As the temperature of bridge element increases or decreases, the bridge will experience a deformation. Since the stay cable connected to the pylon at one side and to the girder at the other side, its will make the stay cable elongated or contracted which in turn will affecting the tension force at stay cable. When evaluating the bridge condition based on the tension force at stay cable, the effect of temperature variation need to be considered.
Secure E Donation System u sing Blockchain Technology
Authors:   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, TN, India., Kakrania Anant , Kumar Dr. Kakelli Anil ,   Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, TN, India.
Published: November 2019

It is highly common for organizations to receive anonymous donations. Financial resources with centralized leadership are far easily prone to corruption. There is a need to decentralize the distribution of resources. This can be achieved using blockchain. It is a transparent, decentralized and distributed technology which operates without a central control organ. The main purpose of this system is to eliminate the corruption in organizations by means of which, black money is legalized or resources are manhandled. The system will be decentralized, not owned or operated by a single person or organization but rather shared among users. We have developed a blockchain-based Donation System capable of decentralizing the resources used by a given organization. The user may create any new organization and others will be able to donate money in the organization in the form of ether. This resource can only be used by the organization after getting consent from the users in network. This makes the people the actual owners of the resources and brings transparency to the entire process of charity fund system. Thus, making wrong and illegal use of money donated to organizations will be minimized to a great extent and thereby, corruption will be reduced with the use of this blockchain system, solving problems in many nations.
Cost Effective Home Automation using IOT and Smartphone
Authors:   School of Electrical Engineering, Vellore Institute of Technology , Vellore, Tamil Nadu, India,, V* Bagyaveereswaran , Kumar Shivam ,   School of Electrical Engineering, Vellore Institute of Technology , Vellore, Tamil Nadu, India,, Ruban N. ,   School of Electrical Engineering, Vellore Institute of Technology , Vellore, Tamil Nadu, India,, Anitha R. ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Published: November 2019

In this paper, a Home Automation system based on IoT that employs the integration of cloud networking, microcontroller, smartphone and wireless communication, to provide the user with remote control of various lights, fans, and appliances within their home using their smartphone and store data onto the cloud is presented. It also has safety and security features. This system is designed to be low cost, easy to install, compatible with existing home appliances and expandable allowing a variety of devices to be controlled. We tackle the problem of high cost, use of proprietary wireless technology by various companies which are incompatible with each other, incompatibility with existing home system and difficulty of use by designing an IoT system which is based on low-cost open source technology.
Static, Quasistatic and Buckling Analysis of 600 HP Engine Connecting Rod
Authors:   Mechanical department, St. Joseph’s Institute of Technology, Chennai, India., Abraar* S.A. Muhammed , Rameeza M. ,   Mechanical department, CVRDE, Chennai, India., Ramesh B. ,   Mechanical department, St. Joseph’s Institute of Technology, Chennai, India.
Published: November 2019

We have involved in the design & development of 600 hp indigenous engine with an aim to suit the power-pack requirements of our vehicle. In view of the above, it is planned to analyze the crank train components viz., Piston, Connecting rod, Crankshaft etc., for their structural strength for the given load condition. Hence it is proposed to carry out a detailed static, quasistatic and buckling analysis of connecting rod. The objective of this study is to analyse the connecting rod of the 600 hp diesel engine for the induced stresses due to static, quasistatic and buckling load. The net force acting due to the gas pressure and the inertia, is applied on the top of the piston. The reaction forces produced at each end of the connecting rod were predicted and given as input load for this analysis from the data generated through simulation. This report predicts the induced stresses and the buckling load estimation by the connecting rod of 600 hp engine.
Software Vulnerability Classification Based On Deep Neural Network
Authors:   Research Scholar, Department of Computer Science & Engineering, School of Engineering & Technology, Suresh Gyan Vihar University, Jagatpura, Jaipur., Vitthalrao* Markad Ashok , Gupta Dr. Mukesh Kumar ,   Principle, Department of Computer Science & Engineering, School of Engineering & Technology, Suresh Gyan Vihar University, Jagatpura, Jaipur.
Published: November 2019

Software vulnerability is most common issues in software engineering, many applications has suffering vulnerability, information leakage, and data hijacking such kind of problems facing since couple of years. Sometimes developers should be making some mistakes during code making which generate vulnerability issues for entire application. In this research work, we carried out an approach to software vulnerability detection using deep learning approach behalf of metadata processing. The system carried software vulnerability detection based on the Deep Neural Network (DNN). a new dynamic vulnerability classification approach has suggested. The model basic build based on TF-IDF as well density based feature selection approach for DNN. basically TF-IDF has used to measured the frequency and weight of specific word of vulnerability description; the Vector Space Model (VSM) is used for feature selection to achieve an finest set of feature term, and; the DNN neural network model is used to built an dynamic weakness classifier to achieve effectiveness into the bug detection. The overall system has categorized into four phases in first phase we detect the code clone to eliminate the data redundancy and execution time complexity, in second we apply Vector Space Model (VSM) recommend the re-factor possibility in entire code while in third section we build DNN module for software vulnerability detection and finally recommend the vulnerability for entire code. The system partial implementation has evaluated in java environment which provide satisfactory results for heterogeneous code modules .
Real Time Operation of IEC 61850 Based Digital Substation
Authors:   Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India., Bhattacharjee Tanushree , Jamil* Dr. Majid ,   Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India.
Published: November 2019

The advancement in technologies applied on substation studies are leading towards substation automation systems (SAS). In SAS network interoperability of substation devices is an important factor that needs good media of communication. IEC 61850 protocol has a greater role in device communications and protection functions of an integrated system. Also this standard can address the problem of interoperability of devices from various vendors. With the implementation of IEC 61850 standards in SAS networks, integration of latest devices like, intelligent electronic devices (IEDs), analog merging units (AMUs) and Ethernet networks are becoming possible. IEC 61850 standards will upgrade a conventional substation model into Digital Substation providing IEDs and modern substation devices are getting installed. In this paper IEC 61850 standard with its various operational levels have been studied for basic understanding of the protocol. A digital substation model with operational architecture has been shown and its various process bus communication messages have been discussed. To establish the concept of interoperability of subsation devices in a substaion model, a digital substation laboratory model has been developed here with IEC 61850 standard implementation. Real time analysis of protection functions with process bus communications of the substation model have been executed. The study of IEC 61850 standard and digital substation with its real time hardware test results will give the reader a clear idea about digital substations, substation devices interoperability operations and protection functions. This implementation and application of IEC standards in substation communication and protection functions can get used effectively in future for testing some other network topology.
Geostatistical Analysis of Groundwater Data
Authors:   M.tech in Hydraulics, Department of Civil Engineering, National Institute of Engineering, Mysore, India, S Reshma H , Chandramouli P. N. ,   Professor, Department of Civil Engineering, National Institute of Engineering, Mysore, India.
Published: November 2019

Water resources are stressed because of the country's increasing population and increased water requirements. Even though a good understanding of both surface and groundwater hydrological systems make it possible to manage these resources properly. To study the main characteristics of formation of clusters of groundwater levels, statistical analysis has been used. Geostatistics is a class of statistics used to analyze and predict the values associated with spatial or spatiotemporal phenomena. It incorporates the spatial (and in some cases temporal) coordinates of the data within the analyses. The Statistical analysis is applied to monthly groundwater levels fluctuation data over a period of 2004-2017 in Mysuru, Mandya, Chamarajanagara and Hassan districts of Southern Karnataka in India. The groundwater levels data is collected from 197 Observation Wells from the districts. The Statistical methods like K-Means Clustering and Agglomerative Hierarchical Cluster Analysis is used to perform the datasets. Grouping is made using AHC method, during this process results are obtained by graph called Dendrogram. The obtained results are compared with the LULC maps of all 4 districts. Different grouping (cluster) is made for groundwater level fluctuations for proper conclusion to arrive.
Fuzzy Tsukamoto for Determinen Linen Priority
Authors:   Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia,, Hermawan* Adan , Ranggadara Indra ,   Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia,, Suharso Aries ,   Faculty of Computer Science, University of Singaperbangsa, Karawang, Indonesia, Prihandi Ifan ,   Faculty of Computer Science, Mercu Buanan University, Jakarta, Indonesia,, Suhendra  ,   Faculty of Computer Science, Mercu Buanan University, Jakarta, Indonesia
Published: November 2019

With problems at the hospital Dr. Cipto Mangunkusumo, namely borrowing linen when nurses make loans to the logistics division, so that the logistics division has difficulty in determining which linen is used more frequently or lent by nurses, because the type of linen that is very much causes difficulties in the division in determining which linen is obliged to return it quickly to the logistics division. In order for linen to be available again in the logistics division, in addition to a very large loan every month, the logistics division had difficulty determining the average loss of linen in one year. That way the problem that occurs to solve this problem is to use a method namely Fuzzy Tsukamoto to determine the average amount of loss of linen and to determine priority linen that will be replaced earlier when the linen change schedule is in progress or the linen return is speeded up by returning the type of linen that is very often used for. After calculating using the Fuzzy Tsukamoto method, priority linen can be produced, including a Bolster, Blanket, Mattress Pad, and Bed Cover. Based on the calculation of Fuzzy Tsukamoto by doing several stages, namely Fuzzyfication, Fuzzy Rule, Fuzzy Inference System, and Defuzzyfication resulting in an average amount of linen loss in one year is 222.
Block Level Optimization Based Mapping and Ensemble Classification Based Segmentation for Fruit Flower Detection
Authors:   Associate Professor, Department of Computer Science, Quaid-E-Millath Government College for Women (A), Anna Salai, Chennai, India., Samraj* Dr. (Mrs.) Jasmine
Published: November 2019

In the field of agricultural, the crop estimation task entirely depends on the process of detecting and counting the number of fruits on trees. The crop estimation task is mainly used in the agricultural field. Currently, counting the fruits and vegetables manually is performed at several locations. Manual counting has several disadvantages since it consumes too much time and needs an excessive amount of labor. The agriculture productivity can be improved by incorporating the automatic fruit counting technique with a crop management system to gather the information to predict the yield. This information may be used to schedule the harvesting. This research approach creates maps about flowers at the block level. This research work employed the Modified Bat Optimization technique for the generation of a direct map from blocks with no computationally intensive refinement phase. Once the block-level mapping is done, then the ensemble classification is introduced for flower identification, which is reliable against uncertain environments and suitable for various flower species. The proposed technique depends on the Support Vector Machine (SVM) classifier and an Enhanced Convolutional Neural Network (ECNN) for carrying out semantic segmentation. To improve its sensibility towards flowers, this Ensemble Classification Framework (ECF) is fine-tuned with the help of a weighted majority function of apple flower images. Also, a refinement technique is used for all the classifiers to better differentiate between different flower instances. The dataset with pixel-accurate labeling is used for the implementation of the proposed technique. The dataset has images with high resolution.
Efficient Turbo Inter Leaver Based MIMO OFDM System For Low Complexity Outdoor Communication
Authors:   Department of ECE, JNTUACEA, Anantapur, India., Kumari* D. Lalitha , Prasad M.N. Giri ,   Department of ECE, JNTUACEA, Anantapur, India.
Published: November 2019

An arrangement of multiple antennas in both the receiver and transmitter called Multiple Input and Multiple Output (MIMO). The Orthogonal Frequency Division Multiplexing (OFDM) is enabled in MIMO system for high data wireless communications. Combination of both MIMO and OFDM Access (OFDMA) is a growing technology in next generation communication systems. In this work, the Bit Error Rate (BER) performance of MIMO-OFDMA is analyzed with Orthogonal Space Time Block Code (OSTBC), Maximum Ratio Combining (MRC) and Turbo coding scheme over flat fading channel are named as MIMO-MRC-OFDMA. OSTBC is a transmit diversity scheme, which is utilized for delivering an efficient transmission with high peak data rates that significantly improves the capacity of communication systems. Successively, the MRC diversity solves transmit and receive diversity from an OSTBC. MRC approach is applied in the receiving end for summing and weighing the received signals from the multiple paths. Besides, turbo coding scheme is utilized for error correction in a given code rate. The proposed system performance is evaluated in light of BER by varying the number of receive and transmit antennas such as 2×2, 2×4, 4×2 and 4×4.
Implementation of Text Mining Classification as a Model in the Conclusion of Tafsir Bil Ma'tsur and Bil RA'YI Contents
Authors:   Department of Science Al-Qur'an and Tafsir, Faculty of Ushuluddin, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia., Nur* Afrizal , Mustakim  ,   Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia., Sarifandi Suja’i ,   Department of Science Al-Qur'an and Tafsir, Faculty of Ushuluddin, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia., Amin Saidul ,   Department of Faith and Philosophy, Faculty of Ushuluddin, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia.
Published: November 2019

Studies related to Tafsir Qur'an have only been carried out based on a manual system or on application-based development. The purpose of this study is to build an application which can classify type of interpretation automatically into two classes, tafsir Bil Ma'tsur and tafsir Bil Ra'yi, can provide user convenience in the Al-Qur-an. KNN algorithm is a reliable algorithm in the classification process, also has many parts of the algorithm. This study was done by applying K-Nearest Neighbor (KNN) algorithm with an accuracy of 98.12%. However KNN had been compared firstly with Modified K-Nearest Neighbor (MKNN) and Fuzzy K-Nearest Neighbor (FKNN) algorithms, where the two algorithms had 98.01% and 88.3% accuracy respectively. MKNN is the best algorithm with the highest accuracy, but also has a high error value by 4.3% which is higher than KNN, 1.9%. From the research conducted, the more text documents used in KNN modeling, the higher accuracy will be. Therefore, in the implementation of this application KNN is used as modeling in the conclusion of Tafsir Al-Qur'an. Tests performed with BlackBox Testing and User Aceptance Test reached value of 100% and 98.8%.
2796 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: A9781109119/2019©BEIESP DOI: 10.35940/ijeat.A9781.109119 Journal Website: www.ijeat.org Rain Prediction using Fuzzy Logic
Authors:   EIE Department, Thapar Institute of Engineering and Technology, Singla* Manish Kumar , Kaur Harkamal Deep ,   EIE Department, Thapar Institute of Engineering and Technology, Nijhawan Parag ,   EIE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA).
Published: November 2019

Power system energy management system is observed as the breakthrough element for load forecasting. Load forecasting is advantageous so as to reduce the generation cost, spinning reserve capacity and increase the reliability of power system. The unit commitment, economic allotment of generation preservation schedule is crucial for short term load forecasting (STLF). In the current times, many techniques are being utilized for load forecasting, but Artificial Intelligence Technique (Fuzzy Logic and ANN) provides improved efficiency as in contrast with conventional technique (Regression and Time Series). In this particular paper, the author main purpose is to reduce flood conditions and drought. The main focus of the author is in the prediction of rainfall with the help of wind variation and temperature, speed. The paper represents a technique of STLF using fuzzy logic. Using Mamdani implication the fuzzy rule base is prepared. The software used for this is Matlab Simulink and fuzzy tool box. By using triangular membership function the forecasted results are obtained.
Micro-Facial Expression Recognition in Video Based on Optimal Convolutional Neural Network (MFEOCNN) Algorithm
Authors:   Ph.D. Student, Anna University Chennai, Lalitha* S.D. , Thyagharajan Dr. K.K. ,   R.M.D Engineering College, Chennai
Published: November 2019

Facial expression is a standout amongst the most imperative features of human emotion recognition. For demonstrating the emotional states facial expressions are utilized by the people. In any case, recognition of facial expressions has persisted a testing and intriguing issue with regards to PC vision. Recognizing the Micro-Facial expression in video sequence is the main objective of the proposed approach. For efficient recognition, the proposed method utilizes the optimal convolution neural network. Here the proposed method considering the input dataset is the CK+ dataset. At first, by means of Adaptive median filtering preprocessing is performed in the input image. From the preprocessed output, the extracted features are Geometric features, Histogram of Oriented Gradients features and Local binary pattern features. The novelty of the proposed method is, with the help of Modified Lion Optimization (MLO) algorithm, the optimal features are selected from the extracted features. In a shorter computational time it has the benefits of rapidly focalizing and effectively acknowledging with the aim of getting an overall arrangement or idea. Finally the recognition is done by Convolution Neural network (CNN). Then the performance of the proposed MFEOCNN method is analyzed in terms of false measures and recognition accuracy. This kind of emotion recognition is mainly used in medicine, marketing, E-learning, entertainment, law and monitoring. From the simulation, we know that the proposed approach achieves maximum recognition accuracy of 99.2% with minimum Mean Absolute Error (MAE) value. This results are compared with the existing for Micro-Facial Expression Based Deep-Rooted Learning (MFEDRL), Convolutional Neural Network with Lion Optimization (CNN+LO) and Convolutional Neural Network (CNN) without optimization. The simulation of the proposed method is done in the working platform of MATLAB.
Influence of PET Waste on Mechanical Properties of Concrete
Authors:   Head of the Department, Civil Engineering Department, Pace Institute of Technology and Sciences, vallur, prakasam dist., Andhra Pradesh, India., Naidu* G,Ganesh , Prasad M.Sri Durga Vara ,   Assistant professor, civil department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India., Kishore N.Venkata ,   PG scholar, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India., Prasad R.Hari ,   Assistant professor, civil department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India.
Published: November 2019

Recycling of plastic is one of the major issues in the today’s world .In this paper, study is carried on properties on concrete using poly ethylene terephthalate waste fibers (PET). PET fibers are replaced with fine aggregate by 10,15,20,25 and 30%. Concrete is tested for fresh and hardened properties. Slump test is conducted to find out the workability of concrete. To check the mechanical properties of concrete compressive strength, flexural strength tests are conducted on concrete specimens.
Application of Augmented Reality in Learning Bakery for Autism Spectrum Disorder
Authors:   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Mohd* Che Ku Nuraini Che Ku , Shahbodin Faaizah ,   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Suparjoh Suriawati ,   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Khidir Nur Alya Sahira Muhamad ,   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia.
Published: November 2019

Many young children with ASD have difficulty learning the language spoken. Some kids can use just single words while others can create sounds. Someone else couldn't talk at all. Communication is a vital skill in life that contributes to improved interactions and quality of life. Researchers think it's difficult for all young children who have communication impairments to generate and maintain a mental representation in conjunction with the instant fact, that building capabilities are critical. A child with ASD can be taught to interact in numerous distinct ways. For example, a child can study to use the sign language, exchange objects or images and use a voice output electronic device. All these methods of communication are efficient and useful, but we would also like to teach the child to interact with the language spoken. The questionnaire has been distributed to the target user who is a special education teachers from PEMATA for user acceptance testing. Each respondent runs individual tests after the developer provides a brief explanation of the application. They need to scan and test the augmented reality applications on recipe book.
Enhancing the Tool Die Steel P rofile C utting P erformance in WEDM P rocess
Authors:   Department of Mechanical Engineering, Saveetha School of Engineering, Chennai, India., Saravanan* M. , Thiagarajan Dr. C. ,   Department of Mechanical Engineering, Saveetha School of Engineering, Chennai, India., Somasundaram Dr. S. ,   Department of Mechanical Engineering, National Institute of Technical Teachers' Training and Research, Chennai, India
Published: November 2019

This work elaborates the experimental work on Material Removal Rate (MRR) and Surface Roughness (SR) output conditions of Wire-Electrical Discharge Machining (WEDM) and finding the optimal input conditions through Taguchi method coupled with Grey relational analysis for lower SR and higher MRR during profile cutting of high strength D3 tool steel, which is the need of the hour in industries. The machining factors considered for investigation which influences MRR and SR were: cutting speed, pulse on-time and off-time, input current, wire tension and feed and servo feed and voltage. A L18 orthogonal array was considered for mixed-level experimental design through Taguchi’s approach and for multi-criteria optimization Grey Relational Analysis was applied. Outcome shows that SR increases with the increase of pulse on-time and decreases with increase in pulse off-time and MRR increases as the pulse on-time increases due to longer spark duration. Both SR and MRR are well within the control limits and servo voltage is the most influential parameter contributing by 48.48%, followed by wire feed rate, input current and servo feed rate with an R2 value of 95.85%, identified through Analysis of Variance (ANOVA). With obtained optimum conditions, a validation experiment was conducted to authenticate the results, which indicates a worthy agreement with predicted output characteristics.
Recognition of Hand Gesture for a Paralytic Person Using Convolutional Neural Network
Authors:   computer Science, srm Institute Of Scince And Technology, Ramapuramcampus, Chennai, Harshita* A.Naga , M Azhagiri ,   computer Science, srm Institute Of Scince And Technology, Ramapuramcampus, Chennai, Priya G.Sri Krishna ,   computer Science, srm Institute Of Scince And Technology, Ramapuramcampus, Chennai, Sabu Khadijah S ,   computer Science, srm Institute Of Scince And Technology, Ramapuramcampus, Chennai
Published: November 2019

According to the Indian statistics, the stroke rate is higher compared to other countries. It is approximately 1.8 million Indians out of 1.2 billion Indians suffering from stroke every year. As a result of this brain cells get damaged which leads to paralysis. To help the stroke patients out of its researchers have found a solution by creating hand gestures that will help them perform daily functions easily. The gesture made by hand will be the input instead of a mouse or keyboard. The main aim is to read and detect the hand gestures by using high-resolution cameras and process the images using convolution neural networks by the process of edge detection.
Influence of Hybrid Fibre on the Mechanical Properties of Concrete
Authors:   Assistant Professor, Department of Civil Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Thanjavur., Rosaline Ms. S.J.Princess , Jayanthi Dr. R. ,   Professor & Head, Department of Civil Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Thanjavur.
Published: November 2019

This study presents the experimental investigation carried out to study the mechanical properties of concrete with and without the addition of fibres to it.d Concrete is the most consumed material in the world which has the property of strong in compression and weak in tension. Also plain concrete possess very limited ductility and little resistance to cracking. Hence fibres are introduced in the concrete to improve the tensile strength & brittleness of the concrete. These fibres which are closely spaced and dispersed uniformly in the concrete arrest the micro and macro cracks and improve the tensile strength of concrete. Concrete admixed with such fibres are known as Fibre Reinforced Concrete. The combination of two (or) more fibres called as Hybridization is carried out in this work. M25 grade concrete is designed as per IS 10262:2009 with the volume fraction of 0-1.5%. The workability of the concrete is affected due to the addition of fibres and hence super plasticizers are added to the concrete. The fibres considered for the study are (i) Crimped Steel Fibre (0-1.5%) and (ii) Shortcut Glass Fibre (0.1-0.2%). The behaviour of the hybrid fibre reinforced concrete is investigated by conducting compressive strength test on cube specimen of size 150mmx150mmx150mm and split tensile strength test on cylinder specimen of size 150mm diameter and 300mm height. From the experimental results, the optimum fibre combinations for maximum compressive strength and spilt tensile strength of concrete are identified.
SEM and EDAX Evaluation of Al-Fe Alloy
Authors:   Department of Mechanical Engineering, St.Joseph’s Institute of Technology, Chennai 119, India, D* Arthur Jebastine Sunderraj , K Arun Vasantha Geethan ,   Department of Mechanical Engineering, St.Joseph’s Institute of Technology, Chennai 119, India, D Ananthapadmanaban ,   Department of Mechanical Engineering, SSN College of Engineering, Kallavakkam-110, India
Published: November 2019

The scanning electron microscopy (SEM) and energy dispersive X-Ray analysis of the Al-Fe alloy revealed the formation of varying ironaluminide intermetallic compounds. The Al-Fe alloys were produced by varying the composition of Fe. The pure ‘Al’ billets were heated up to 750оc and in the molten condition of aluminium ‘Fe’ powder was added resulting in an exothermic reaction. The exothermic reaction raised the molten bath temperature to ~ 1400оc which activated the formation of intermetallic compound.
Sharing Large Datasets b etween Hadoop Clusters
Authors:   CSE department, GRIET, Hyderabad, India., Vanisree* K. , Babu* Dr. B. Sankara ,   CSE department, GRIET, Hyderabad, India.
Published: November 2019

The real information in other hand for large generous datasets either is direct data oriented stores or circulated license frameworks, in Hadoop being the prevailing open-source lifetime for 'Huge Data'. Real complete clamber stockpiling beginnings, be stroll as it may, bid urge for the competent allotment of expansive datasets over the Internet. Those frameworks that are generally utilized for the spread of extensive records, similar to Bit Torrent, should be adjusted to deal with difficulties, for example, organize joins with both high dormancy and high data transfer capacity, and versatile stockpiling backends wind are streamlined for gushing what's more, not unpredictable access. In this paper, we genuine Dela, a be awarded pounce on lead order supervision structural into the Hops Hadoop stage depart gives a start to finish answer for dataset sharing. Dela is intentional for colossal emerge amassing back ends and counsel trades that are both non-interfering to physical TCP change house and give predominant encipher throughput than TCP on high latency, high transmission capacity organize joins, for example, transoceanic system joins.
Diabetics Prediction using Gradient Boosted Classifier
Authors:   Assistant Professor, Department of CSE, Sri Krishna College of Technology, Coimbatore, TamilNadu, India,, Raja* J.Beschi , Anitha* R. ,   Assistant Professor, Department of CSE, Sri Krishna College of Technology, Coimbatore, TamilNadu, India,, Sujatha R. ,   Assistant Professor, Department of CSE, Sri Krishna College of Technology, Coimbatore, TamilNadu, India,, Roopa, V. ,   Assistant Professor, Department of IT, Sri Krishna College of Technology, Coimbatore, TamilNadu, India, Peter S.Sam ,   Assistant Professor, Department of CSE, Sri Krishna College of Technology, Coimbatore, TamilNadu, India
Published: November 2019

Diabetes is one of the most common disease for both adults and children. Machine Learning Techniques helps to identify the disease in earlier stage to prevent it. This work presents an effectiveness of Gradient Boosted Classifier which is unfocused in earlier existing works. It is compared with two machine learning algorithms such as Neural Networks, Radom Forest employed on benchmark Standard UCI Pima Indian Dataset. The models created are evaluated by standard measures such as AUC, Recall and Accuracy. As expected, Gradient boosted classifier outperforms other two classifiers in all performance aspects.
Influence of Combustion Chamber Geometry on the Combustion and Emission Characteristics of a Direct Injection Diesel Engine Operated on Renewable and Sustainable Fuel Derived from Diary Scum Waste
Authors:   Department of Mechanical Engineering, SDM College of Engineering and Technology, Dharwad, Karnataka, India, Lalsangi Sadashiva , Yaliwal V.S. ,   Department of Mechanical Engineering, SDM College of Engineering and Technology, Dharwad, Karnataka, India, Banapurmath N. R. ,   Department of Mechanical Engineering, BVB College of Engineering and Technology, KLE Technological University, Hubli, Karnataka, India
Published: November 2019

Present work discusses experimental investigation to study the effect of biodiesel blends and re-entrant combustion chamber on the performance, combustion and exhaust emissions. In the first phase of the work, diary scum oil methyl ester (DiSOME) biodiesel was produced by conventional transesterification process and is blended with conventional diesel fuel in steps of 20 (by volume). Further in the next phase of the work, influence of blended fuel properties and re-entrant combustion chamber (RCC) on the combustion and emission characteristics of a direct injection diesel engine has been investigated. Results of investigation showed that B20 operation with RCC provided increased thermal efficiency by 3-4% with 10% increased smoke, 10-20% decreased hydrocarbon (HC) and carbon monoxide (CO) and 8-10% increased nitric oxide (NOx) emission levels compared to B100 operation. Further increased cylinder pressure and heat release rate were observed with B20. However, Thermal efficiency and NOx emissions are comparatively lower and smoke, HC and CO emissions were found to be slightly higher than base line diesel operation.
Design and Development of ARJUN MBT Tank Engine Control Junction Box using Micro Controller
Authors:   Dept of EEE,VEL TECH MULTI TECH Dr.RANGARAJAN Dr.SAKUNTHALA ENGINEERING COLLEGE, Chennai, India., Mani* Dr.P.K. , Rajagopal Dr.R. ,   Dept of EEE, PSR ENGINEERING COLLEGE, Sivakasi, India., Shanmugapriyan Dr.J. ,   Dept of EEE, VEL TECH MULTI TECH Dr.RANGARAJAN Dr.SAKUNTHALA ENGINEERING COLLEGE, Chennai, India., Vijayalakshmi M. ,   Dept of EEE, VEL TECH MULTI TECH Dr.RANGARAJAN Dr.SAKUNTHALA ENGINEERING COLLEGE, Chennai, India.
Published: November 2019

This paper explains how we can replace the conventional power-consuming mechanical relay based Engine Control Junction Box of ARJUN MBT Tank using Micro Controller. The aim of this paper is to minimize the size of existing ECJB and to reduce the complexity of operation. The existing ECJB has 4 normal relays, 16 special type relays and 4 critical relays for smooth operation of the engine and is hardwired, thus making it difficult to operate and troubleshoot. By using 8051 microcontroller we can overcome the existing problems of ECJB. It implements the following parameters and operation. • Starting Sequence • Starter Interlock • Sequential switching of Dust Eject motors • Display the sensor information to the driver • Automatic shutdown The advantage is that it possesses inbuilt fault diagnostic function. The size has been reduced to 1/4th of the existing ECJB, only indigenized components and relays are used and imported items are totally eliminated.
Comprehensive Biosafety Assessment of Additives based on Live Microorganisms
Authors:   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Luneva* Albina , Lysenko Yury ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Koshchaev Andrey ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Nesterenko Anton ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Guzenko Viktor ,   Stavropol State Agrarian University, Stavropol, Russia.
Published: November 2019

When developing veterinary or feed preparations, a mandatory procedure is the study of their toxicological properties in living bio-objects. The purpose of this research work was to study the toxicological effect of probiotic on the basis of autochthonous microflora of birds by identifying the parameters of acute, subacute and chronic toxicity, as well as irritating characteristics in experimental laboratory animals. In studies of subacute and chronic toxicity, the pharmacodynamics of a probiotic was studied by its effect on individual metabolic parameters, morphobiochemical composition of blood, and also the growth rate of experimental laboratory animals. A complex of toxicological studies of the developed biological product showed that the probiotic does not exhibit toxic and irritating properties, stimulates hematopoiesis, erythropoiesis, there is a slight increase in the mass of laboratory animals in connection with which it can be used for its intended purpose, regardless of the dose.
Design of Solar Energy based Hybrid Community Cooking System
Authors:   Research Scholar, Renewable Energy Engineering, CTAE, Udaipur, Agarwal* Vishnu , Jain Dr. Sudhir ,   Professor and Head Renewable Energy Engineering, CTAE, Udaipur., Jindal Dr. S. ,   Professor and Head, Mechanical Engineering, CTAE, Udaipur.
Published: November 2019

Energy is considered to be an essential factor contributing in the economic and social development of any nation. Shortage of energy or energy imbalance is an impediment to the growth of a country. Energy generated from the non – renewable sources like coal, petroleum etc. harm the environment by emitting harmful green house gases. Using alternative renewable sources for generation of energy will save our earth and reduce the emission of greenhouse gases. Renewable energy sources can serve as alternatives to conventional fuels (LPG, coal, petroleum etc.). Most of the community messes use LPG as a prime source of energy for cooking purposes. This research work focuses on the design of solar based hybrid community cooking system which is a good alternative to LPG based cooking system. Heat required for boiling rice, pulses and green vegetables per day was calculated for 400 persons in community mess. A hybrid cooking system based on solar water heater, heat pipe, biogas and boiler was designed and integrated as per the heat requirements of 400 students. The integration also aimed at the reduction of wood consumption in the boiler of hybrid cooking systems, thus reducing emissions of harmful gases to a minimum.
Management of Potential Data on Websites for Communicating Research in Education Issue
Authors:   Faculty of Psychology, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru 28293, Indonesia., Anwar* Khairil , May Asmal ,   Faculty of Education and Teacher Training, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru 28293, Indonesia., M Afrizal ,   Faculty of Ushuluddin, State Islamic University of Sultan Syarif Kasim Riau, Pekanbaru 28293, Indonesia., Murniati Andi ,   Faculty of Education and Teacher Training, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru 28293, Indonesia., Yendra Rado ,   Department of Mathematics, Faculty of Science and Technology, UIN Sultan Syarif Kasim Riau, Pekanbaru, Indonesia. Rado Research Centre, Indonesia., Fudholi Ahmad ,   Solar Energy Research Institute, Universiti Kebangsaan Malaysia, 43600 Bangi Selangor, Malaysia.
Published: November 2019

This research is concentrated in the increasing of education issue studies using the management of potential data on Websites for Communicating Research in the field of Education. This research relates with several web sites, i.e: https://puspendik.kemdikbud.go.id/hasil-un/, and https://dapo.dikdasmen.kemdikbud.go.id/sekolah/ Furthermore, this research is also purposed in order to elucidate the potentials and challenges of internet data for education to demonstrate a selection of relevant literature so that a wide spectrum of topics can be reached. A part of this data represents a large and increasing part of everyday life which sometimes could not be measured. The data used are a timely data which are potentially following a factual process, moreover they typically involve large numbers of observations, and they allow for flexible conceptual forms and experimental settings. In this paper, the data that are gained will be managed such that some academic articles are produced. Some data at the Internet had successfully been applied to a very wide range of detecting education issues (e.g. spatial analysis for relation a number of male and female students and score of mathematics and foreign languages test), we review the current literature attempts to incorporate the Internet data into the mainstream of scholarly empirical research in our research and guide the reader through this Special Issue. We provide some insights and a brief overview of the current state of research.