bluuebunny/crossref_metadata_2025 huggingface dataset:
Amalgamation of Machine Learning Algorithms for Crop Yield Prediction
Authors:   Research Scholar pursuing Ph.D., in the PG and Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Trichirappalli, Tamil Nadu, India., Kumar* D.Maghesh , Kumar Dr. K. Mohan ,   Heading the PG and Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Trichirappalli, Tamil Nadu, India.
Published: May 2020

Agriculture is India’s prime occupation. In Indian economy agriculture plays a major role by means of providing more employment opportunities for the people. In order to provide food to the huge population of India, agriculture sector needs to maximize its crop productivity. This research work presents an approach which uses different Machine learning (ML) techniques by considering the various parameters of cultivated crop to predict the best yield. Further in this Multiple Linear Regression (MLR) technique and artificial neural networks (ANN) are used to make a brief analysis for the prediction crop yield. With the above idea a new model was created, and from this numerical results were obtained. The accuracy and efficiency of the method has been explored and results from the artificial neural network and regression methods were obtained and compared.
Crop Recommendation and Automated Irrigation System
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Rakesh* Aman , Sahu Pranjal ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kumar C.N.S.Vinoth ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology
Published: May 2020

The system provides a crop suggestion system which suggests the farmer the most profitable crop they can grow with the available resources, weather condition and market demand. This will be achieved with the help of data provided by the government and other sources. Smart farming also known as precision farming is the implementation of IoT in agriculture with the help of IoT devices, cloud internet and further analysis of data collected for precision farming. Through this system a farmer will be notified time to time about the condition of soil through analysing various parameters in soil like humidity, pH and temperature of the surrounding. With the help of humidity sensor and soil moisture sensor the condition of soil will be monitored and based on the condition, irrigation will be supplied automatically. This will reduce the wastage of water in irrigation and the crops will get precise amount of water supply. We will be using drip irrigation which is an efficient way of irrigation for orchard crops, vegetables, cash crops, flowers, spices, oil seed, forest crops. Integrating the efficient irrigation technique and automating it for precise irrigation will help to maintain the crop health with efficient use of resources. Adding to the irrigation system we also analysed the past crop production, state wise data for predicting the production and profitability of individual crop and suggest them to the farmer so that it will be profitable to farmers.
Two Way Communication for the Differently Abled.
Authors:   Department of Computer Engineering ,BV(DU)COE, Pune, India., Jadhav* Rohini B. , Chordia Tanmay ,   Department of Computer Engineering, BV(DU)COE, Pune, India., Shrivastava Yagyesh ,   Department of Computer Engineering, BV(DU)COE, Pune, India., Singh Srijan Kumar ,   Department of Computer Engineering, BV(DU)COE, Pune, India., Thorat Umesh G. ,   Tata Consultancy Services, Pune, India.
Published: May 2020

Communication is the main channel for the people to interact with each other, every day we see many people who are facing challenges like deaf, dumb, facing the difficulty to interact with others. Due to birth defects, injuries and oral disorders, there has been a dramatic increase in the number of deaf and deaf victims in recent years. As they are unable to communicate with normal people, they must rely on some kind of visual communication. Formerly developed techniques are all sensors based and they didn’t give the general solution and were not economical. One of the main paradigms that we focus on is to endeavour the linking between the Sign Language medium with the Standard English Language and thus providing the communication between the two communities in a seamless experience. This project is developed in such a way to allow two-way communication between the one who knows the sign language (deaf and dumb) and the one who doesn’t(rest).Our project uses camera to take images of different gestures and image processing technique is used to recognise gestures and give audio and text as an output. On the other hand, for the reply our project will also process Speech to give back Sign language gestures as a reply to complete two-way communication.
Medical Image Forgery Detection using Cnn
Authors:   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Kumar* Mr.K. Prem , Preethi J. ,   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Sandhya J. ,   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Harshini Inti Satyapriya ,   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
Published: May 2020

With the improvement of the computer technology, image processing techniques have become important in a wide variety of medical applications. Numerous new features have been added to satisfy people. People consult doctors online, without even visiting them. As health is a critical issue, we should take care with full attention and security. This paper proposes a medical image forgery detection system for the identifying whether the image is altered or not. The forgery done on the medical images can lead to various issues that can shake the medical industry this also promotes wrong diagnosis, organ trafficking etc. Hence a group of different forgery detection algorithms is described and by using the Convolution neural networks we can detect and the forged images. This paper also gives a brief outline about the advantages and disadvantages of the existing systems in forgery detection.
Web Superintendence
Authors:   Assistant Professor, Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, India., Tiwari* Upendra Kumar , Chauhan Abhay ,   Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, India., Kumar Devraj ,   Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, India., Gupta Ayush ,   Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, India.
Published: May 2020

Over the past two decades, the internet has exponentially expanded to every part of the world. It has made every single individual as its either consumer or even a producer. And with the evolution of different social networking sites, it has even made individuals upload their personal content over the internet. This personal information compromises information ranging from even the smallest detail ranging from his birthdate to even the place he is traveling to. Uploading personal information over the internet has leveraged various opportunities, it could either be business intelligence or even for the purpose of overseeing a person with antisocial behavior.
A New Spatial Domain Filter for Impulse Noise Removal with Improved Accuracy Based on Multiple Conditions
Authors:   Assistant Professor, Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India., Budumuru* Prudhvi Raj , Donga Madhusudan ,   Assistant Professor, Vignan’s Institute of Information Technology, Vishakhapatnam, Andhra Pradesh, India., Korada Asha ,   Associate Professor, Bhimavaram Institute of Engineering and Technology, Bhimavaram, Andhra Pradesh, India.
Published: May 2020

Numerous filtering methods are proposed for Impulse noise removal, it is an important task in the field of image restoration. The familiar spatial domain algorithm to remove impulse noise is Standard Median Filter (SMF). Most of the existing algorithms are based on median filtering and recent algorithms are Modified Hybrid Median Filter (MHMF) and New Modified Hybrid Median Filter (NMHMF). These two are worked up to 20% noise density. In this paper proposed a new` algorithm for impulse noise removal above 20% noise density conditions with different samples of images. The implementation of proposed method compares with known existing methods by comparing Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR).
Experiment on the Performance and Emission Characteristics of the Blend B25 of Papaya Oil Methyl Ester on a Diesel Engine with Standard and Magnesium Stabilised Zirconia Coated Piston
Authors:   Ph.D scholar, Department of Mechanical Engineering, Dayananda Sagar University, Bangalore,India., Kumar* V. Dinesh , Mrityunjayaswamy K.M. ,   Associate Professor, Department of Mechanical Engineering, School of Engineering, Dayananda Sagar University, Bangalore,India., Chinnapandian M. ,   Professor and Head, Department of Aeronautical Engineering, St. Peter’s College of Engineering and Technology, Avadi, Chennai,India.
Published: May 2020

The long term ongoing research in the field of automobile is to increase the efficiency of the engine and to reduce its harmful exhaust emissions. It is well known that only the one third of the thermal energy produced during the combustion of fuel is converted into useful mechanical work. Thermal barrier coating reduces the rate of heat transfer and utilizes the maximum rate of heat developed for the complete combustion of fuel. In this paper a comparison is made on the performance and emission characteristics of the blend B25 of papaya oil methyl ester on a single cylinder diesel engine with standard and magnesium stabilised zirconia coated piston under variable loading condition from no load to full load in the incremental of 20% and its thermal analysis using ANSYS. The blend B25 is selected because it is found optimum when compared with its other blends in earlier investigation.
Performance Enhancement in Transmission Lines by Locating the Distributed Generators using Improved Particle Swarm Optimization Algorithm
Authors:   Assistant Professor, Department of EEE, Mohamed Sathak Engineering College, Kilakarai, Gani* S. Syed Musthafa , Boobalan S. ,   Professor and Head, Department of EEE, Mohamed Sathak Engineering College, Kilakarai,., Prakash S. Arun ,   Assistant Professor, Department of EEE, University College of Engineering, Ramanathapuram., Hussain S. Faizal Mukthar ,   Assistant Professor, Department of CSE, Mohamed Sathak Engineering College, Kilakarai, Ali A. Mohamed Ifthikar ,   Associate Professor, Department of ECE, Mohamed Sathak Engineering College, Kilakarai.
Published: May 2020

This paper indicates the nonlinear congestion mitigation in the transmission lines. The generator active power is rescheduled to achieve the congestion- transmission line network in electrical power system. The transmission congestion in the buses can be reconfigured by using the Improved Particle Swarm Optimization Algorithm. By locating the Distributed Generators in the identified weak buses the voltage profile and the power loss in the transmission system can be improved. The proposed solution’s achievability is tested by estimating the cost of congestion on different standard IEEE transmission line networks. The algorithm have the recompense such as the capability of local search and the capability of global search in the algorithms Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) algorithm respectively. Consistence with the calculation is tried by considering different contextual investigations including clog on the separate test transport arrange because of two-sided, polygonal exchanges and line blackouts.
Strong Authentication using Encrypted Negative Password
Authors:   Computer Science and Engineering, Sona College of Technology, Salem, India., Priyankaselvi* V. , Sivakami Dr. R. ,   Computer Science and Engineering, Sona College of Technology, Salem, India
Published: May 2020

Passwords are mostly employed in every place within the world. Nowadays maintaining password is extremely difficult. Because Passwords could also be leaked from weak systems. passwords that are given by a human is easy to identified and cracked. Initially password given by a user’s often select weak passwords and it can be reused. Unauthorized person may enter into the login process and they hacked a Password very easily. Passwords are usually in the kind of hashed passwords. During this work it develops a Secured Smart lock using Strong Authentication. it's a raspberry pi connected to the Wi-Fi, a camera, a key pad system and a lock system. the house owner can give access to the guest by IoT. He can even send the One-time password to the guest mobile to enter into the house. The owner can view the one that is before of the door using the camera.
Addition of Criteria for the Drought Level Vulnerability to the Reservoir Location Priority
Authors:   student of Master Degree Program of Civil Engineering Department, Diponegoro University, Indonesia., Mandrianawati* Dini , Wulandari Dyah Ari ,   lecturer in Master Degree Program of Civil Engineering Department, Diponegoro University, Indonesia., Atmojo Pranoto Samto ,   lecturer in Master Degree Program of Civil Engineering Department, Diponegoro University, Indonesia.
Published: May 2020

Blora regency is mostly a water critical region during dry seasons due to its porous soil characteristic. In order to overcome this condition, in 2006, Indonesian Ministry of Public Works and Housing, through Mettana Engineering Consultant, conducted a Study of Identification and Basic Design Development of Reservoirs in Blora Regency. It determined 28 future reservoir locations by considering their technical, economical and socio-environmental aspects. However, for the reservoirs to be the most effective, it is necessary to include regional drought vulnerability aspect into consideration to determine their location priority. The main purpose of this research, to conduct an analysis of meteorogical drought vulnerability in Blora regency region.In more detail the main goal is to determine reservoir location priority in Blora regency region by considering meteorogical drought vulnerability aspect. Drought Index was calculated using SPI (Standardized Precipitation Index ) method using 2009-2018 monthly precipitation data obtained from 15 precipation stations. Mapping of drought vulnerable regions was done using GIS (Geographic Information System) technology using spatial interpolation approach. This research determined new priority, different from that determined by Mettana Engineering Consultant. Priority 1 formerly consisted of Suruhan, Kedungwungu, Bangsri, Sambong and Kalisari reservoirs while the new one consisted of Polaman 1, Polaman 2, Suruhan and Jurangjero reservoirs. Suruhan reservoir appeared in both versions. Kedungwungu, Bangsri, Sambong and Kalisari reservoirs moved to priority 2 in the new priority since they were located in low drought level regions while Polaman 1, Polaman 2 and Jurangjero reservoirs moved to priority 1 since they were located in moderately high to moderate drought level regions. It indicated that is necessary to include drought vulnerability aspect into consideration in determining reservoir location, along with technical, economical and socio-enviromental aspects. The government then may employ this aspect as an additional criteria in developing future reservoir construction program to be more effective that targets drought vulnerable regions
Improving Accuracy of Emotion Detection using Brain Waves and Adaptive Swarm Intelligence
Authors:   Student, Mtech, G. H. Raisoni College of Engineering in VLSI stream., Timande* Ruchita , Ghutke Prof. Payal ,   Assistant Professor in Department of Electronics Engineering,G H Raisoni College of Engineering, Nagpur.
Published: May 2020

In recent year, Authors had been attempting to find or detect the feeling of human by recorded brain signal for example, EEG (electroencephalogram) alerts. Because of the unnecessary degrees of unwanted signal from EEG recording, a solitary feature alone can't accomplish great execution. Distinct feature is key for automatic feeling identification. Right now, we present an AI based scheme utilizing various features extricated from EEG recordings. The plan joins these particular highlights in feature space utilizing both managed and unaided component choice procedures. To re-request the joined highlights to max-importance with the names and min-repetition of each feature by applying Maximum Relevance Minimum Redundancy (MRMR). The produced highlights are additionally diminished with principal component analysis(PCA) for removing essential segments. Test report will be generated to show that the proposed work should outperform the condition of-workmanship techniques utilizing similar settings in real time dataset.
Targeted Sentiments and Hierarchical Events based Learning Model for Stock Market Forecasting from Multi-Source Data
Authors:   Research Scholar, Department of Computer Science, Kongunadu Arts and Science College, Coimbatore, India., Bhuvaneshwari* C. , Beena Dr.R. ,   Associate Professor, Department of Computer Science, Kongunadu Arts and Science College, Coimbatore, India
Published: May 2020

Stock market price movement forecast from multi-source data has gained massive interest in recent years. Studies were focussed on extracting the events and sentiments from different source data and employ them in learning the stock price movement patterns. This approach provided accurate and highly reliable forecasting as it involves multiple stock price indicators. However, some aspects of sentiment analysis and event extraction increase the training time and computation complexity in big data stock analysis. To overcome these issues, the hierarchical event extraction and the target dependent sentiment analysis are performed in this paper to improve the learning rate stock price movement patterns. In this paper, the events are hierarchically extracted from news articles using Deep Restricted Boltzmann Machine (DRBM). The target based sentiments from the tweets are detected using Improved Extreme Learning machine (IELM) whose parameters are optimally selected using Spotted Hyena Optimizer (SHO). The stock indicators obtained from these two processes are used in the learning process performed using Tolerant Flexible Multi-Agent Deep Reinforcement Learning (TFMA-DRL) model for analysing the stock patterns and forecasting the future stock trends. The forecasting results obtained by using the TFMA-DRL model by combining the stock indicators of targeted sentiments and hierarchical events are trustworthy and reliable. Evaluations are performed using three datasets collected for 12 months period from three sources of Twitter, Market News and Stock exchange. Results highlighted that the proposed stock forecasting model achieved 90% accuracy with minimum training time.
Anterior Cruciate Ligament Knee Injury Detection of Sports Persons using Machine Learning Techniques
Authors:   Dept. of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India., Kaur* Jaskaran , Sharma Dr. Sandeep ,   Dept. of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India.
Published: May 2020

ACL is one of most common knee injury in sports person which increases as the participation in sports increases. People participating in basketball, football, hockey and athletics generally faces more weight bearing on hip, knee and ankle which is directly breaking of muscular tissues of ACL. After this it is mandatory to rehabilitate and back to the field for sport person at same pre-injury stage. But it requires mental and physical strength to recover from ACL tear and proper treatment needs health management. In a growing age of Information Technology the use of computer and its applications are extensively used in almost all areas. The main objective of this paper is to check the use of expert system or the use of any computerized equipment while diagnosis Anterior Cruciate Ligament injury. There are many techniques and machines to predict the knee injury grade like MRI but to check the accuracy level computer expert system Machine learning techniques are best for the results.
Diabetic Retinopathy using Lstm-Rnn
Authors:   C.S(C.S.E), SSVIT, Bareilly, India., Sharma* Ojaswi , Saxena Himanshu ,   C.S(C.S.E), SSVIT, Bareilly, India.
Published: May 2020

Diabetic retinopathy is an significant cause of loss of vision and blindness in millions of people worldwide. While screening protocols-fluorescence and optical accuracy to the identification of the disease, in most cases-have been identified, the patients remain unaware, and they can't perform these tests on time. The early diagnosis of the condition plays a vital role in preventing loss of vision which results in a prolonged period of untreated diabetes mellitus between patients. Different profound learning strategies were applied for classification and disease prediction in diabetic retinopathy datasets, but most of them ignoreddata pre-processing and dimension reduction and resulted in partial outcomes. The diagnostic analysis is carried out in this paper with the use of profound learning and the LSTM-RNN methodology in this manner and by segmentation through Fuzzy c. Output indicates that the whole system being tested is validated by the use of 400 MESSIDOR (database) retinal fundus images.
Porous Germanium Anode Material for Lithium-Ion Batteries
Authors:   Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation., Mansurovich* Khantimerov Sergey , Radikovich Fatykhov Ranis ,   Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation., Vyacheslavovich Bazarov Valery ,   Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation., Mikhailovich Lyadov Nikolay ,   Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation., Muratovich Suleimanov Nail ,   Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation.
Published: May 2020

This work is devoted to the development of porous germanium anode material for lithium-ion batteries. Samples of porous germanium were fabricated by ion implantation of Co+ ions in single-crystal germanium plates. The surface morphology of porous germanium samples with an increase in the implantation dose of Co+ ions was studied. Scanning electron microscopy study revealed that the implantation leaded to the formation of porosity of the surface and the surface morphology differed for different doses of implantation. It is assumed that the obtained Ge material with a porous surface can be used as effective anode material in lithium-ion batteries and will show an increased capacity and charge / discharge rate relative to traditionally used graphite.
Numerical Modeling of the Process of Thermoplastic Deformation of Transversally Isotropic Parallelepipeds
Authors:   Tashkent University of Information Technologies, Tashkent, Uzbekistan., Bаdadjanov* М.R. , Kalandarov A.A. ,   Gulistan State University, Gulistan, Uzbekistan., Adambaev U.E. ,   Faculty of Math. National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan.
Published: May 2020

The paper proposes a modified version of the iterative method for numerically solving a three-dimensional uncoupled boundary-value problem that describes the process of thermoplastic deformations of a transversely isotropic parallelepiped. A discrete analogue of the boundary value problem is compiled on the basis of the finite-difference method. A recurrent finite-difference relation is written which allows one to find the desired components of the displacement vector in combination with the iterative method. It is assumed that, at a first approximation, the values of the sought displacements in the internal nodes are trivial. The essence of the method is demonstrated by solving the thermoplastic boundary-value problem for a transversely isotropic parallelepiped. The proposed method can be applied to solve related problems of dynamic thermoplasticity.
Stabilization of Red soil and Black Cotton soil using Iron Slag and Fly Ash
Authors:   Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India., Mahiyar* Madhur , Sikarwar Punit Singh ,   Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India., Gupta Nitin ,   Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India., Tomar Prashant Singh ,   Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India., Agrawal Shashank ,   Assistant Professor, Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India.
Published: May 2020

The infrastructure is increasing day by day which leads to construction in the space where soil is not much of good strength and the Safe Bearing Capacity of soil is very low. In such areas soil stabilization can prove to be good alternative for improvement in its properties. The stabilization has been found to be effective in improvement of strength and compressibility. If soil is used for any construction purpose like pavement construction or embankments then such constructions may prove to be cost effective. Mixer like what is used in concrete making can be employed to mix the soil with different admixtures (Iron slag and fly ash) and then placing a mix soil for making road and embankment. If such constructions are done without stabilization then it will lead to decrease in strength and also increase in construction cost. The structures built upon such soil may also lead to failure. Initially cement and lime have been used to stabilize the soil but now we need to find other alternatives as there is lot of CO2 emission in the production of cement which is not safe for our environment. The alternatives to be used should not harm to the environment. In the present study we have used fly ash and iron slag in different proportion for red soil which obtained by the weathering of basalt (It is termed as red bole in Geological terms). The percentage of iron slag is used as 2%,4%,6%,8% and 15%by weight of soil and fly ash is used in 10%, 15%, 20% and 25%by weight of soil. After procuring the soil the Standard Proctor Tests were conducted to determine the Optimum Moisture Content and Maximum Dry Density. Red bole soil and black cotton soil are stabilized using iron slag and fly ash and then the results of various tests have been compared. Consistency Limits, Specific Gravity, Free Swell Index, Standard Proctor, Permeability, Direct Shear, Unconfined Compression Strength and Swelling Pressure tests were performed on each soil (i.e. red bole and black cotton). The tests were performed using the standard codes and the methodology as per various IS codes.
Fabrication of Multirotor Windmill
Authors:   Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., V* Vanitha. , D Sabarish. ,   Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., G Sudhan ,   Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., N Tharani ,   Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., V Varunya ,   Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India.
Published: May 2020

Finding techniques to meet the growing power demand is the greatest challenge for industrialists, engineers and entrepreneurs of the country. Wind energy is emerging as one of the various renewable energy sources, which contributes to the appreciable energy demand in the world. This paper focuses on the fabrication of multirotor windmill, which has two sets of turbine blades, out of which, one set of blades rotates in the clockwise direction and the other set in the anticlockwise direction. Conventional method is used for the design of blades. The floor space required for both the windmills are same. The two sets of blades are coupled by a Bevel gear mechanism which in turn, produces a uniform torque. When compared to the normal windmill, the proposed windmill has higher efficiency due to the presence of second set of blades.
Mobile Controlled Robot for Waste Handling
Authors:   Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., V* Vanitha. , R Santhosh. ,   Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., Adithya.M Nikhil ,   Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., G Praveen. ,   Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India., R Priyanka. ,   Dept. of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India.
Published: May 2020

Globally, the waste management is becoming a challenging problem because of garbage accumulation due to poor urban planning, overcrowding, etc. In last few years, robotic research is drawing more attention due to its effectiveness in helping humans to bring the waste-free environment as many waste material may cause healthy problems to human beings. This work aims to design and fabricate a robotic arm with four servomotors, which are controlled by a mobile app and Arduino microcontroller. Android based Mobile app is created to control the robotic movements. Two servomotors guide the robot for backward and forward movement and remaining two servomotors for picking and placing the garbages.
Hydroponics a Sustainable Agriculture Production System
Authors:   department of ECE, Dr. Mahalingam College of Engineering and Technology, Coimbatore, India., K.R* Gokul Anand. , N.R Rajalakshmi. ,   School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India., S Karthik. ,   department of EEE, PSG College of Technology, Coimbatore, India.
Published: May 2020

Agriculture stands as a center-piece in Indian economy. In spite of being important, it faces challenges from production to financial incompetence’s. Indian agriculture is raged by several problems such as meager farm equipment’s, lack in quality toolsets, unusual monsoons or outbreaks of pest. Our present day world emerges with innovative technologies in farming such as soil and moisture sensors devices, meteorological tracking systems, remote sensing through satellite imagery, autonomous rovers and drones, agri-genetics, RFID tracking devices and finally vertical farming technology to help us transform our challenges into opportunities. These technologies can help us to transform our Indian agriculture farming systems into be a sustainable one. Sustainability in agriculture is possible only, when we have a constant supply of natural resource such as sunlight, water, moist-air, soil, and organic manures rich in nutrients in its proportion. To achieve this system, we must develop a controlled environment to check all the parameters of natural resources and use them according to their needs and quantity. Hydroponics is promise ably one such sustainable method of cultivating plants comparing to traditional farming techniques. The uniqueness of the system is utilization of water to less than 10 %. Secondly, the hydroponic system yields more veggies and fruits in a short span of time. This is achieved by selecting proper grow bed such as alluvial soil balls, rock wool, charcoal and gravels. The medium is selected based on nutrient retention rate in the grow bed with respect to cultivation of veggies. Hence, hydroponics agriculture production system gives promising yield round the year. And also, this system is commercially scalable and adaptable by all sectors of people. We can either start as small green house system in home or to a highly productive industrial scale. The paper proposes one such home based hydroponics system for tomato plants. The system follows ebb-flow method in hydroponics cultivation with fine grained gravel stones as grow bed medium. To monitor the growth of tomato plants, the system is equipped with sensors. These sensors measure the growth rate with respect to nutrient supplies for tomato plants. It is done in a controlled physical environment through IoT enabled devices. Thus, ensuring its yield for a sustainable productivity.
Semantic Analysis Models and Methods of the Text Information in the Building Normative Base
Authors:   Kyiv National University of Construction and Architecture, Kyiv, Ukraine, Chernyshev Denys , Klochko Andrеy ,   Department of Architectural Structures, Kyiv National University of Construction and Architecture, Kyiv, Ukraine, Terenchuk* Svitlana ,   Department of Information Technology Design and Applied Mathematics, Kyiv National University of Construction and Architecture, Kyiv, Ukraine, Ternavska Viktoriia ,   Department of Labor Protection and Environment, Kyiv National University of Construction and Architecture, Kyiv, Ukraine, Zapryvoda Vitalii ,   Department of Architectural Structures, Kyiv National University of Construction and Architecture, Kyiv, Ukraine
Published: May 2020

The research is aimed at overcoming the uncertainties associated with the reform of legislation regarding the technical regulation of the building industry. The main goal of the paper is to systematize the normative base of building of Ukraine in the conditions of adaptation of normative documents to the requirements of the European Union. In order to achieve this goal, an analysis of the peculiarities of the information resource of the normative base was conducted and the nature of the uncertainty contained in the normative documentation of the industry was investigated. The status of modern electronic databases of normative documentation in the building and building materials industry of Ukraine is described. The scheme for identifying different documents on the same issue is proposed. The possibility of applying models and methods of fuzzy mathematics to formalization of texts of building norms and rules and expression of their semantics in the internal language of the Semantic Text Information Analysis System is shown. The practical value of the paper is seen in the improvement of the organizational and technical system "Technical Regulation in Building" by minimizing the number of regulations on the same issue and achieving consistency between normative. The paper's scientific novelty of is to apply the model of artificial intelligence to the solution of the problem of semantic analysis of documents contained in electronic bases of normative documentation of the system of technical regulation in building. The capability of artificial neural networks of the ImegNet category to solve the problem of semantic analysis text documents of Building Normative Base is proved Further researches will focus on forming the Text Information Semantic Analysis System knowledge base and adapting the Deep Structured Semantic Model to the task of assessing the degree of closeness between a Semantic Request and a Semantic Normative Document. The results can be used to improve other workflow systems.
Novel Simulation and Optimization for the Production of Green Products I.E., Green Gasoline, Green Diesel and Green Waxes.
Authors:   Department of Chemical Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India., Poddar* Dr. Sourav
Published: May 2020

During the last decagon, there has been expanding international worry over the rise of anthropogenic CO2 discharge into the Earth’s atmosphere. The application of CO2 into a valuable asset is a major concern. The generation of syn gas and then usage of the syn gas into liquid fuel, seems to be one of the promising options in terms of industrial employment, as it offers several advantages: (a) reduction of CO2, (b) conversion of gases, specially bio-gas, natural gas, LPG, and etc. and CO2 into syngas (c) producing syngas with H2/CO2 ratio 1:1.9 to 1:2.1 which may further be used for the generation of valuable petrochemicals. The present research focusses on the gas to liquid conversion using the simulating software, Aspen Plus ®. The outcomes are then subjected to Design Expert ® for calculation of the optimal generation rate. The feedstocks used for the proposed present examination are bio-gas or pyro-gas, natural gas and LPG. The research scheme, gas to liquid conversion is carried out using three steps: (a) gas (feedstock) to syngas from the combination of dry reforming and steam reforming of methane, (b) Fischer Tropsch process to produce long chains of hydrocarbons and (c) usage of unconverted CO and H2 and other alcohol derivates in the CHP unit for the production of electricity. Amongst all the feedstocks natural gas production or generation is maximum followed by bio-gas or pyro-gas and then LPG. Due to non-available resources of natural gas and generation of GHG emission, for countries like India, bio-gas or pyro-gas can be used as a promising sustainable feedstock for reducing GHG emission and global warming. The outcomes of Aspen Plus ® of biogas or pyro-gas are then subjected to Design Expert ® for the prediction of the maximal production. It can be confirmed that with 6997.54 kg/h of biogas flowrate and 99.39% recycling of CO2, the production of green gasoline, green diesel and green waxes are 565.24 (kg/h), 545.45(kg/h) and 642.68 (kg/h) respectively. The outcomes are in good agreement with the theories, thus proving the process to be a realistic one in nature. Therefore, bringing its viability for India in terms of reduction in CO2 emission and development of gas to liquid conversion process.
Cy Sician-Revolutionizing Patient Health Monitoring System with auto-diagnosis
Authors:   School of Electronics & Communication Engineering, Vellore Institute of Technology, Vellore, India, Bhattacharya* Budhaditya , Jain Prakhar ,   School of Electronics & Communication Engineering, Vellore Institute of Technology, Vellore, India., Das Sudeshna ,   School of Electronics & Communication Engineering, Vellore Institute of Technology, Vellore, India.
Published: May 2020

Cardiovascular diseases (CVD) has emerged as one of the major causes for death in all over the world. This paper displays a framework to remotely screen, health of Cardiovascular disease affected patients utilizing Machine to Machine (M2M) innovation which is a part of the project called CySician . Real time patient health monitoring system is advantageous to the patients and society as it will significantly reduce medical charges, waiting time for patient and improve patient handling capability of any hospital. In this patient health monitoring system pulse rate, ECG, body temperature, Body Mass Index(BMI) and general clinical interrogation is finished by a chatbot named “LifeBot”. The primary components associated with this project are pulse sensor, Raspberry Pi 3B+ (processing unit), temperature sensor module sensor, utilizing Machine Learning (ML) calculation it automatically analyzes the accumulated information to propose prescription to the patient. After the patient is diagnosed and the disease is detected, the patient will be notified with the kind of medication he needs. If the problem is nominal, the patient will be suggested with a basic treatment and will be monitored regularly. If the problem is of major scale, the patient will be directed to the payment gateway where he will be asked to pay a nominal fee for appointment from doctors to continue his check-up .Ultimately, the final well-being report is displayed to the doctor on the User interface that is visible on PC/Laptop.
Topic Modeling Based Extractive Text Summarization
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India, Issam Kalliath Abdul Rasheed , Patel* Shivam ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India., N. Subalalitha C. ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
Published: May 2020

Text summarization is an approach for identifying important information present within text documents. This computational technique aims to generate shorter versions of the source text, by including only the relevant and salient information present within the source text. In this paper, we propose a novel method to summarize a text document by clustering its contents based on latent topics produced using topic modeling techniques and by generating extractive summaries for each of the identified text clusters. All extractive sub-summaries are later combined to generate a summary for any given source document. We utilize the lesser used and challenging WikiHow dataset in our approach to text summarization. This dataset is unlike the commonly used news datasets which are available for text summarization. The well-known news datasets present their most important information in the first few lines of their source texts, which make their summarization a lesser challenging task when compared to summarizing the WikiHow dataset. Contrary to these news datasets, the documents in the WikiHow dataset are written using a generalized approach and have lesser abstractedness and higher compression ratio, thus proposing a greater challenge to generate summaries. A lot of the current state-of-the-art text summarization techniques tend to eliminate important information present in source documents in the favor of brevity. Our proposed technique aims to capture all the varied information present in source documents. Although the dataset proved challenging, after performing extensive tests within our experimental setup, we have discovered that our model produces encouraging ROUGE results and summaries when compared to the other published extractive and abstractive text summarization models.
Prediction of Social Trends using Twitter
Authors:   Department of Computer Science and Engineering, SRM-IST,Kattankulathur,Kancheepuram,India., Babu* Dr. S. , Bisen Kushagra Singh ,   Department of Computer Science and Engineering,SRM-IST,Kattankulathur,India., Chaubey Himanshu ,   Department of Computer Science and Engineering,SRM-IST,Kattankulathur,India.
Published: May 2020

In this study project, we deal with the application of sentimental analysis on a dataset consisting of tweets. We implement a number of machine learning and deep learning frameworks to perform the analysis. In the end, we use a majority based method to show 4 of our best models for the dataset to achieve the best result.
Mechanical Behavior of AA2124 Alloy with 12 wt. % of B4C Particulates Reinforced Composites
Authors:   Department of Mechanical Engineering, BITM, Ballari-583103, Karnataka, India., N* Fazil , Venkataraman V ,   Department of Mechanical Engineering, BITM, Ballari-583103, Karnataka, India., Nagaral Madeva ,   Aircraft Research and Design Centre, Hindustan Aeronautics Limited, Bangalore-560037, Karnataka, India.
Published: May 2020

In the current investigation, the mechanical properties of AA2124-12 wt. % of B4C composites were displayed. The composites containing 12 wt. % of B4C in AA2124 alloy were synthesized by liquid metallurgy method. For the composites, fortification particles were preheated to a temperature of 400˚C and afterward added in ventures of two into the vortex of liquid AA2124 alloy compound to improve the wettability and dispersion. Microstructural examination was carried out by SEM. Mechanical properties of as cast AA2124 alloy and AA2124-12 wt. % of B4C composites were evaluated as per ASTM standards. Microstructural characterization by SEM confirmed the distribution and presence of micro boron carbide particles in the AA2124 alloy matrix. The hardness, ultimate strength, yield strength and bending behaviour of AA2124 alloy enhanced with the incorporation of 12 wt. % of micro B4C particles. Further, ductility of AA2124 alloy decreased with the presence of B4C particles. Tensile fractography were studied on the tested samples to know the various fractured mechanisms.
QoS Aware Resource Scheduling and Performance Assessment of Heuristics for Processing Jobs on Cloud
Authors:   Research Scholar, Faculty of Technology, RK University, Rajkot, India.& Assistant Professor, Marwadi University, Rajkot, India, Vaghela* Krunal , Lathigara Dr. Amit ,   Computer Engineering, Marwadi University, Rajkot, India., Tanna Dr. Paresh ,   MCA, RK University, Rajkot, India.
Published: May 2020

Cloud computing or in other words, shared computing is a unique way of sharing resources via the Internet. It combines and extends features of parallel processing, grid computing, and distributed computing. Cloud Computing environments provide a competent way to schedule and process various jobs on remote machines. Rather than relying on local machines, Cloud users access services remotely via high-speed networks. Various users submitting jobs to be processed to Cloud would expect Quality of Service (QoS). So, currently, many researchers are proposing various heuristics that provide QoS to cloud users. The job scheduler is responsible for scheduling various jobs to its best-matched resource to achieve desired QoS. There are Service Level Agreements (SLAs) between Cloud Service Providers (CSPs) and Cloud users, which need to be followed by both the parties. Benefits would be affected in case of not complying with SLAs. In this paper various SLAs like Hard SLA, Best Effort SLA and Soft SLA are proposed. Jobs with required QoS parameters like Reliability, Execution Time and Priority are submitted to the scheduler. QoS of resources is determined by parameters like Reliability, Job Completion Time and the Cost of the resource. Schedulers then assign the Job to the best-matched resource according to specified SLA. Simulation is performed for First Fit and Best Fit heuristic approaches. Performances of both the heuristic approaches are evaluated with performance parameters like Average Resource Utilization (ARU), Success Rate of Jobs (SR) and Total Completion Time (TCT). This research work is useful for various organizations that provide various Cloud services to users who seek different levels of QoS for various applications.
Communication Protocol in Internet of Things
Authors:   Department of Information Technology, Mizoram University, Aizawl, India, Chawngsangpuii* R. , Das Dr. Prodipto ,   Department of Computer Science, Assam University, Silchar, India.
Published: May 2020

Constrained devices are commonly used in the Internet of Things systems. Since these devices have limited communication and computation resources, communication protocols which are lightweight are needed. A lightweight protocol called Message Queue Telemetry Transport, which is a publish/subscribe messaging protocol, is utilized with the constrained devices. Hence, this paper is aimed at monitoring data by using machine-to-machine communication protocol with the help of an IoT device, Raspberry Pi.