bluuebunny/crossref_metadata_2025 huggingface dataset:
Convoy Effect Elimination in FCFS Scheduling
Authors:   Assistant Professor, Department of CSE, Hindustan Institute of Technology and Science, Chennai, India., M. Sambath , Padmaveni K. ,   Associate Professor, Department of CSE, Hindustan Institute of Technology and Science, Chennai, India., S. Linda Joseph, Ravi ,   Assistant Professor, Department of CSE, Hindustan Institute of Technology and Science, Chennai, India., kumar J. Thanga ,   Assistant Professor, Department of CSE, Hindustan Institute of Technology and Science, Chennai, India., Aravindhar D. John ,   Associate Professor, Department of CSE, Hindustan Institute of Technology and Science, Chennai, India.
Published: March 2020

One of the important activities of operating systems is process scheduling. There are many algorithms available for scheduling like First Come First Served, Shortest Job First, Priority Scheduling and Round Robin. The fundamental algorithm is First Come First Served. It has some drawback of convoy effect. Convoy effect occurs when the small processes are waiting for lengthy process to complete. In this paper novel method is proposed to reduce convoy effect and to make the Scheduling optimal which reduces average waiting time and turnaround time.
DCNN Optimization using Wavelet-based Image Fusion
Authors:   Electrical Engineering, King Abdulziz University , P.O.Box 80200, Jeddah, 21589, Saudi Arabia, Alshehri Abdullah A. , Ezekiel Soundararajan ,   Indiana University of Pennsylvania, 1011 South Drive, Indiana, PA 15705, USA
Published: March 2020

We propose to develop image fusion algorithms and architecture for enhanced deep learning and analysis of large sets of data. Usually, images captured from different perspectives, using different types of sensors, different frequencies, etc. must be considered separately and interpreted by human operators. Using image fusion techniques, different forms of sensor information into a single data feed for a neural network to interpret and learn from can be implemented. This will increase the accuracy of neural network classification, as well as improve effectiveness in situations involving suboptimal conditions, such as obstructed or malfunctioning sensors. Another disadvantage of current deep learning technique is that they often require massive datasets to train to an acceptable level of accuracy, especially when situations involve potentially thousands of classification categories. Increasing the size of the dataset exponentially increases the amount of time to train, even when training on relatively simple neural network architectures. In protection scenarios, where new classes of threats can emerge frequently, it is unacceptable to have to take down the security system for long periods of time and train it to identify new threats.
Kinetic Reduction of Pellets of Mill Scale Waste and El Dekheila Pellets Fine Waste using Coke Breeze
Authors:   Chemical Engineering Department, Egyptian Academy for Engineering & Advanced Technology (EAE&AT), affiliated to Minstry of Military Production, Cairo, Egypt., Hamid E. M. Abdel , Shalabi M. E. H. ,   Central Metallurgical Research and Development Institute (CMRDI), El-Tabbin, Helwan, Cairo, Egypt.
Published: March 2020

Mill scale is a valuable waste material that contains high amount of iron, little impurities and also is chemically stable composition. It is produced from the hot rolling processing in steel industry. The second waste is El-Dekheila pellets fine waste that produced as the results of handling in the El-Dekheila plant, West of Alexandria on the Northern coast of Egypt. This paper studies the recycling of mill scale and El-Dekheila pellets fine waste in iron and steel industries by reduction using coke breeze in the form of pellets. Characterization of raw materials were performed which are XRF, XRD and screen analysis. Reduction of pellets consisting of El-Dekheila pellets fine waste and different percentage of mill scale was investigated with 4 stoichiometric coke breezes using thermo-balance. The reduction increases with increasing coke breeze. The kinetics of reduction of these pellets were studied using different percentage of mill scale (20,60 and 80%) and at different temperatures ranging from 900 to 1050oC. The results displayed that the reduction process was controlled by Avrami and Erofeev involving nucleation of reduced phases followed by grain growth. Also, that the maximum reduction 80% can be reached after 125 minutes using 20% mill scale. The activation energies of reduced 20, 60 and 80% mill scale were found to be 112 kJ.mol-1 , 81 kJ.mol-1 and 107.8 kJ.mol-1 respectively.
Protecting Data Privacy in Cloud
Authors:   Assistant Professor GNDEC, Bidar, Visvesvaraya Tecnological University Belagavi,Karnataka India, Begum Masarath , Waheed Mohammed Abdul ,   Associate Professor VTU CPGS, Kalaburgi, Visvesvaraya Tecnological University Belagavi, Karnataka India
Published: March 2020

Cloud is now widely used for the remote storage of data; it’s an On-demand device and computer resource configuration process. This allows users to avoid locally saving and storing data. Remote data sharing is an inexpensive and effective way to share cloud users community resources. DiffieHellman used the previous approach to protect multi-owner cloud sharing for distributed groups. In the existing system, there is a community signature shared among all group members that contributes to the middle attack. The program suggested using the LFSR-dependent correlation method, which primarily used handshake protocol to safely exchange community signature to detect the attack, to detect an attack. If the calculated value exceeds one (value>1), the community's public key is changed to avoid abuse.
Pregnancy Period Diabetic and Blood Pressure Predictive Analysis using HCNN LSTM
Authors:   PhD Research Scholar, Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India., Christobel T. Papitha , Kumar A. Sasi ,   Professor, Department of Information Technology, School of Computing Sciences, Vels Institute of Science,Technology and Advanced Studies(VISTAS), Chennai, India.
Published: March 2020

Diabetes has transformed into the worldwide diseases and can occur for all age groups irrespective of their gender. Unlike other diseases, Diabetes needs continuous monitoring as it leads to much adverse effect on functioning of human body. Especially, the diabetes that occurs in female during the pregnancy had its impact over the mother along with their infant before its birth. Many studies showed early prediction can prevent and delimit the challenges that were posed by diabetes among pregnant women. Several health care prediction models often suffer from inconsistencies in data and feature selection that reduce the prediction performance. In the present work, we had proposed the novel Health Care Neural Network-Long Short Term Memory (HCNN-LSTM) to predict the Pregnancy Period Diabetic and Blood Pressure. The Pima Indian diabetes dataset was employed construct the proposed prediction model to predict the patient as diabetic and non-diabetic. For the purpose of comparison, the decision tree, random forest and Navies’ Bayes algorithm are implemented for classification. From the analysis, it was evident that the proposed HCNN-LSTM showed optimum values on performance metrics than the other classifiers. The proposed work can be expanded considering several features of diabetic prediction in future.
Effect of Thrust Force and Torque Analysis on Chemically Treated Kevlar Reinforced Composites during Drilling Process
Authors:   Assistant Professor/Mech. Engg., Kongunadu college of Engg. and Tech, Tamilnadu, India., Chandrakumar S. , Periasamy K. ,   Professor and Coordinator, Mechanical Engineering, Kongunadu college of Engg. And Tech., Tamilnadu, India., Sivashankar N. ,   Assistant Professor/Mech. Engg., Kongunadu college of Engg. and Tech, Tamilnadu, India, Vairamani V. ,   Assistant Professor/Mech. Engg., Kongunadu college of Engg. and Tech, Tamilnadu, India.
Published: March 2020

Composites applications are widely used in many areas. Due to the enhancement of various properties. Now a days kevlar composite has widely used because of various properties like tensile , compression, shear. Drilling is the majority important machining process in making assembly of components within a negligible tolerance. Drilling in kevlar composites is difficult due its extradionary mechanical properties like high toughness and hardness. Thrust force and torque are the major influences for delamination during various machining of reinforcement polymer composites. Various paramaters are considered to reduce defects like delamination and fiber crushing. It is found from various literature reviews surface modification has enhancing the intermolecular bonding strength between fiber reinforced layers. Our paper deals with affect of process parameters on thrust force with respect to torque during drilling of Kevlar composites with and without chemically treated fibers. The composite lamina is prepared for the investigation of 60/40 kevlar-polyester resin on weight basis. The chemicals are used to treat the fibers such as Dichloromethane, methanol and distilled water with specified intervals of time. Twist and core drill bits are used to make holes. Results suggested that twist drill with chemically treated fiber having minimum thrust force. Our aim to identify the minimum delamination of composites.
Multimodal Biometric Recognition: Fusion of Modified Adaptive Bilinear Interpolation Data Samples of Face and Signature using Local Binary Pattern Features
Authors:   Information Science & Engineering Department, Rajeev Institute of Technology affiliated to Visvesvaraya Technological University, Belgaum, Karnataka, India., C Arjun B , Prakash H N ,   Computer Science & Engineering Department, Rajeev Institute of Technology affiliated to Visvesvaraya Technological University, Belgaum, Karnataka, India
Published: March 2020

Biometric based authentication systems use particular person characteristics which might be based on either behavior like voice, signature etc. or body structure like face, iris, palm print, fingerprint, etc. The performance of any unimodal biometric arrangement is depending on elements like surroundings, atmosphere, and sensor precision. Also, there are numerous trait unique demanding situations which include pose, expression, growing old and so forth for face reputation, occlusion and acquisition related problems for iris and terrible high-quality and social popularity related troubles for fingerprint. Hence, fusion of more than one biometric samples, traits or algorithms to achieve quality performance is another way to reap the better overall performance. In current scenario many researchers concentrating on Multimodal Biometrics with new fusion techniques ideas. We propose a new method of feature level fusion which uses Modified Adaptive Bilinear Interpolation (MABI) method to increase the resolution of data sample, which gives better features for fusion which gives more accurate results. In this work, experiment is done on AT&T face Cambridge University Computer Laboratory and MCYT signature Biometric Recognition Group datasets with combination of both unimodal and multimodal traits. K Nearest Neighbor (KNN) and Ensemble methods are used for classification. The proposed biometric system can be used in biometric surveillance, biometric screening for secured places, forensic applications etc.
Dynamics of Spindle Assembly of Metal-Cutting Machine
Authors:   Assistant teachers of Navoi state mining institute, Navoi, Uzbekistan, Yaxshiyev Sh. N. , Ashurov Kh. Kh. ,   Assistant teachers of Navoi state mining institute, Navoi, Uzbekistan A. J. Mamadi, Mamadiyarov A. J. ,   Assistant teachers of Navoi state mining institute, Navoi, Uzbekistan
Published: March 2020

The methods of conducting an experiment to study the dynamic characteristics of the elements of the spindle assembly are considered. The results of experimental studies of the dynamics of the spindle assembly of a cutting machine are presented. The method of calculation of dynamic characteristics, and the own frequencies of fluctuation of spindle node of the metal cutting machine «НТ-250М» are described. The design of the features of the spindle unit was carried out in the software «АРМ WINMACHINE».
Twitter user’s Behavior and Events Affecting Their Mood
Authors:   Research Scholar, school of computing, Lingaya’s Vidyapeeth, Faridabad, Haryana, India. Assistant Professor, Department of Computer Science and Engineering, MRIIRS, Faridabad, India., Jindal Srishty , Tyagi Amit Kumar ,   School of Computing Science and Engineering, Vellore Institute of Technology, Chennai Campus, Chennai, 600127, Tamilnadu, India., Sharma Kamlesh ,   Department of Computer Science & Engineering, Manav Rachna International Institute of Research and Studies, Faridabad, India.
Published: March 2020

Sentiment Analysis is an art to analyze and understand the human behavior. The analysis could be done for any purpose such as e-commerce, business analysis/revenues, detecting latest trends and analyzing reviews. The major work done was related to finding sentiment polarity of the text such as negative, positive or neutral. There are always some emotions hidden behind the text apart from positive/negative. So, nowadays, researchers are focusing on detecting mental behavior of people through social media. This mental behavior could be analyzed through the images, videos, text or posts shared by social media user. Behavior Analysis plays an important role through which society can be benefitted. Behavioral analysis helps in finding the behavior/reaction of people about any event happening throughout the world with the help of social media. In this research, such events were collected through an online survey of people from different professions, their data was analyzed to understand the areas where our society is lacking. Along with the events, the behavior of the person is also analyzed by understanding the basic routine of the user (routine of using social media). The Major events were found by creating word cloud, such as disturbing the social media users were violence against women, politics, terrorist attack, elections and abusive text written by someone.
Performance of Asphalt Mixture using Waste Materials
Authors:   Assistant Professor, Department of Civil Engineering, Vivekanandha College of Technology for Women, Tiruchengode, India., kumar A.Anantha , Anisha K. ,   UG Student, Department of Civil Engineering, Vivekanandha College of Technology for Women, Tiruchengode, India., Aishwarya M. ,   UG Student, Department of Civil Engineering, Vivekanandha College of Technology for Women, Tiruchengode, India., Indhumathi R. ,   UG Student, Department of Civil Engineering, Vivekanandha College of Technology for Women, Tiruchengode, India., Malathi S. ,   UG Student, Department of Civil Engineering, Vivekanandha College of Technology for Women, Tiruchengode, India
Published: March 2020

A large number of solid wastes are being produced each day. This wastes, especially plastic and rubber effects the environment. So, nowadays these kinds of wastes are used in flexible pavements. In this project, the performance of the asphalt mixture using waste plastic and crumb rubber was determined. The aggregate were partially replaced by waste plastic (0.5%,1%,1.5%,2%,2.5%) and crumb rubber (0.5%,1%,1.5%,2%,2.5%). Also, 10% of fly ash is used in addition to filler material. Various tests like specific gravity, Water absorption, Impact test and Crushing strength for aggregate and softening point, Penetration test, Viscosity test, Specific gravity test and Binder content test for bitumen were conducted in obtained asphalt mixture. A Marshal stability test is also conducted to find the performance of the asphalt mixture. All the test results are compared with the results of the conventional mixture. The result obtained shows the plastic waste incorporated asphalt mixture does not affect the performance of the pavement also reduces the rutting and fatigue of the flexible pavement.
Image Steganography Built on Pixel Value Difference in Spatial Domain using Range Table
Authors:   Yogi Vemana University, Kadapa, Andhra Pradesh, India., Reddaiah B. , Sagar B. J. Job Karuna ,   Yogi Vemana University, Kadapa, India., Kumar B. Susheel ,   Yogi Vemana University, Kadapa, India., Sarvani G. ,   Sri Vivekananda Degree & P.G College for Women, Kadapa, India., sai A. Sneha ,   Sri Vivekananda Degree & P.G College for Women, Kadapa, India.
Published: March 2020

With the increase of digital transactions, providing security for the network and its devices is a big challenge today. Sensitive information that has more value in the network is to be protected from unauthorized users in accessing it. Various algorithms are being developed to provide security services for the data. In this paper security is provided by using pixel value differencing technique. Valuable data is embedded in each of the component of color like red, blue and green of a pixel in a color image. In addition to that in providing additional security pixel value has been updated conditionally, that would be more complex to trace the incremented or decremented bits in a pixel of the stegoimage. From this experiment the proposed method provides better visual quality of stego image. This proposed algorithm is suitable for small business applications where small size data is important and threats are more common.
Map Reduce Based Optimized Frequent Subgraph Mining Algorithm for Large Graph Database
Authors:   Ph.D. Scholar, Department of Computer Science and Engineering, GITAM (Deemed to be University), Vishakhapatnam, India, Priyadarshini Sadhana , Rodda Sireesha ,   Professor in the Department of Computer Science & Engineering, GITAM (Deemed to be University) Vishakhapatnam, India.
Published: March 2020

Distributed System, plays a vital role in Frequent Subgraph Mining (FSM) to extract frequent subgraph from Large Graph database. It help to reduce in memory requirements, computational costs as well as increase in data security by distributing resources across distributed sites, which may be homogeneous or heterogeneous. In this paper, we focus on the problem related complexity of data arises in centralized system by using MapReduce framework. We proposed a MapReduced based Optimized Frequent Subgrph Mining (MOFSM) algorithm in MapReduced framework for large graph database. We also compare our algorithm with existing methods using four real-world standard datasets to verify that better solution with respect to performance and scalability of algorithm. These algorithms are used to extract subgraphs in distributed system which is important in real-world applications, such as computer vision, social network analysis, bio-informatics, financial and transportation network.
2D Transformations Analyzed by Both Column Vector and Row Vector Synthesis
Authors:   Assistant Professor, Department of Cloud Computing, OPJS University Churu Rajasthan, India., Chaku Shweta , Bhatnagar Amrita ,   Assistant Professor, Department of Digital Image Processing and Computer Organization, IPEC engineering college GZB.
Published: March 2020

The 2D aspects of Computer Graphics such as vector primitives and 2D transformations are important in creating 2D content. The Transformation are the effective means of shifting or changing the dimensions and orientations of images in the most effective way. If we fail to transform the object in terms of displacement ,enlargement, orientation, we may land up in creating something that is distorted and processessing a distorted object is not acceptable The usual practice of defining transformations is straight forward. The transformed object can be obtained by coupling original object with the transformation vectors .The main challenge is how to evaluate it. The usual practice is standard Column Vector form. The alternative Row Vector Form is also known approach but what matters is the sequence of operations that make these both approaches worth mentionin .While doing so our analysis on 2D content keeps our knowledge flawless and takes it a step further as far as Image Processing is concerned. Such analytical study is very vital since most of the content created, acquired, reproduced, and visualized in 2D needs to be mapped on to 3D.This paper describes the transformations(Translation,Scaling and Rotation) in the both Column and Row Vectar Approach. This paper aims in providing a clear sequence of calculations which differ in both approaches
Heterogeneous Logic: a High Performance and Low Power Non CMOS 4 1 Multiplexer
Authors:   Department of EIE, KITS Warangal or Kakatiya University, Warangal, India., Jeevan B. , Sivani K. ,   Department of EIE, KITS Warangal or Kakatiya University, Warangal, India.
Published: March 2020

A novel non-CMOS 4-1 multiplexer using heterogeneous logic style is presented in this brief. The heterogeneous logic design uses the combination of three basic logic styles such as Dual Value Logic (DVL), Transmission Gate Logic (TGL) and Simple Pass Transistor Logic (SPTL). The design uses only two stacking transistors in between the supply rails. Only 16 transistors are required for the actual logic function in the proposed state-of-the-art design. Number of transistors is reduced by distinctly choosing DVL and TGL in the first stage as per the input combination. Later stage of the multiplexer is constructed using SPTL. A required logic style is chosen at first and second stage in accordance with input bit combination to minimize the number of transistors, enhance the speed of logic transition and reduce the average power dissipation. The design and simulation analysis of proposed circuit is carried out at 22nm technology using Pyxis Schematic and Pyxis Simulator. Comparison of wide-ranging simulated results of proposed design, CMOS tree multiplexer and CMOS NOR multiplexer at various supply voltages and frequencies on same technology node manifests that the performance of proposed heterogeneous multiplexer is better in terms of speed and power dissipation. At minimum possible supply voltage of 0.8V and at moderate frequency of 1GHz, the proposed multiplexer achieves, reduced power dissipation of 17.3% and reduced in delay of 9.14%. The count of transistors including inverters is also less compared to CMOS tree type and CMOS NOR type multiplexers. However, robustness of mixed logic style designs is to be improved compared to CMOS designs.
Modeling and Execution of Floating Point Parallel Processing Operation for RISC Processor
Authors:   Undergraduate Student, Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu, India., D Divya. , Balasaraswathi  ,   Undergraduate Student, Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu, India., M R, Harini kalyani ,   Undergraduate Student, Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu, India, I Vivek Anand. ,   Assistant Professor, Department of Electronics and Communication Engineering National Engineering College, Kovilpatti, India.
Published: March 2020

The development of processors with sundry suggestions have been made regarding a exactitude definition of RISC, but the prosaic concept is that such a computer has a small set of simple and prosaic instructions, instead of an outsized set of intricate and specialized instructions. This project proposes the planning of a high speed 64 bit RISC processor. The miens of this processor consume less power and it contrives on high speed. The processor comprises of sections namely Instruction Fetch section, Instruction Decode section, and Execution section. The ALU within the execution section comprises a double-precision floating-point multiplier designed during a corollary architecture thus improving the speed and veracity of the execution. All the sections are designed using Verilog coding. Monotonous instruction format, cognate prosaic-purpose registers, and pellucid addressing modes were the other miens. RISC exemplified as Reduced Instruction Set Computer. For designing high-performance processors, RISC is considered to be the footing. The RISC processor has a diminished number of Instructions, fixed instruction length, more prosaic-purpose register which are catalogued into the register file, load-store architecture and facilitate addressing modes which make diacritic instruction execute faster and achieve a net gain in performance. Thus the cardinal intent of this paper is to consummate the veridicality by devouring less power, area and with merest delay and it would be done by reinstating the floating-point ALU with single precision section by floating- point double precision section. Video processing, telecommunications and image processing were the high end applications used by architecture.
Furtherance in Splicing Technique of Optical Fiber Communication
Authors:   Research Scholar (Student Member, IEEE, DMCE), , Department of Electronics Engineering, Datta Meghe College of Engineering, Sector-3, Plot-98, Airoli, Navi Mumbai. 400708 University of Mumbai, Maharashtra State, India, Nandwalkar Jayant R , Pete Dnyandeo J. ,   Professor & Head, Department of Electronics Engineering, Datta Meghe College of Engineering, Sector-3, Plot-98, Airoli, Navi Mumbai. 400708 University of Mumbai, Maharashtra State, India
Published: March 2020

The improvement in technology over long distance communication using optical fiber has been regulated over past few decades, and it took drastic enhancement in one of the major parameter for joining two OFC cable (splicing). The different experiments performed in order to bring about the result that can give nearly 0dB splice loss when there is shifting of entire set up of Optical Fiber Communication. The splicing loss is created by the joining of two SMF using fiber optic fusion splicing. The objective of this paper is to determine the low splice loss in joining two single mode or multimode optical fiber, such that long distance communication that required multiple infrastructure assembly for its operational unit can be made relocatable as there is large investment and material and electronic circuitry is associated to it. Therefore to reduce that cost we have sets of analysis that splicing loss can be reduced to 0dB for SMFSMF end face connection or at least no improvement in splice losses while relocation of OFC infrastructure from one place to other place as the result of the tested experiment. Based on experiment conducted we came to conclusion that with essential requirements for establishing a low-loss and high-speed communication line using optical fibers, the need for quality of splicing technology along with perfect core alignment angle is required to reduce splice loss, such that the infrastructure can be shifted to many different location without any additional cost of new material and new resources. The exact measurement of splice loss can be insured by another set of formula which we came across during the experimental performance.
Municipal Solid Waste Management Practices in Alwar, Rajasthan, India
Authors:   M. Tech., Department of Civil Engineering, Rajasthan Technical University, Kota, Rajasthan, India., Yadav Arun Kumar , Choudhary Mahendra Pratap ,   Associate Professor, Department of Civil Engineering, Rajasthan Technical University, Kota, Rajasthan, India.
Published: March 2020

Solid waste management is the process of collecting, treating and disposing off the material after segregating the reusable and recyclable material. After observing mismanagement of municipal solid waste in Alwar city, it was decided to carry out a study to find out the status of the solid waste management practices. During study, the residential areas of the city were visited and sample were collected from households on per day basis, which helped to analyze the waste generation as well as the seasonal variation of the waste. It has been observed that all wastes are mixed together by the residents due to unawareness about the biodegradable and non-biodegradable wastes. Even, it is very difficult for the concerned authorities in municipal corporation Alwar to estimate the actual quantity of biodegradable and non-biodegradable wastes. In absence of segregation of these wastes, the authorities normally use thumb rules for estimating the dry and wet wastes. During study, the main thrust was given to find out the variation in seasonal waste in different areas of the city, so as to help in assessing the deployment of available resources for their full utilization. The biodegradable waste may be used for vermi-composting as well as generation of bio-gas also. It was observed that segregation is not done at the level of individual households and therefore, awareness among people is to be brought as well as to deploy additional manpower for segregation at the collection points. There is a dire need for engaging sufficient number of manpower by the municipal corporation Alwar for collection and transportation of solid waste in the city. At present, diesel vehicles are used for transportation, so it is suggested to make use of electric vehicles like rickshaws and loaders for environmental protection and sustainable development.
Crop Yield Prediction Techniques using Remote Sensing Data
Authors:   Department of CSE, GJUST, Hisar, India,, Singh Kuldeep , Sunila  ,   Department of CSE, GJUST, Hisar, India, Kumar Sanjeev ,   Department of CSE, GJUST, Hisar, India,
Published: March 2020

Crop yield prediction is an art of forecasting the yield of crop before harvesting. Prediction of crop yield will be very useful for the government to make food policies, market price, import and export policies and proper warehousing well in time. The socio-economical impact of crop loss due to any natural disaster i.e. flood, drought can be minimized and humanitarian food assistance can be planned. The paper present a literature survey of various stastical method, empirical models,artificial neural network and machine learning regression techniques which are used with the data provided by the satellites. Many models are developed and results calculated are compared with the benchmark models are also presented.
Community Information System for Ladprao Canal Development
Authors:   Division of Ceramics Technology, Faculty of Industrial Technology, Phranakhon Rajabhat Univercity, Bangkok, Thailand., Khonthon Sasithorn , Binbai Sumai ,   Division of Computer Education, College of Teacher Education, Phranakhon Rajabhat Univercity, Bangkok, Thailand., Vorapracha Phatarapon ,   Division of Information Technology Management, Faculty of Industrial Technology, Phranakhon Rajabhat Univercity, Bangkok, Thailand., Musiri Rungruang ,   Division of Information Technology Management, Faculty of Industrial Technology, Phranakhon Rajabhat Univercity, Bangkok, Thailand.
Published: March 2020

Preparation of information for community development along the Ladprao canal. The objective is to survey and create a database of the Ladprao canal community. And developing the community information system at Ladprao canal. Systematically collecting data according to the dimensions of the community Consists of 6 basic basic information. General health, economic, environmental information The relation of the household to politics and government and communication. Analyze information for quality of life development in 3 issues which are economic, environmental and health. The results of the research showed that Ladprao canal community that has completed housing construction. And there are already 22 communities in 2717 households. The total population is 3164 people, 47% males and 53% females. The majority of the population are aged 40-59 years. In the economic aspect, it is found that the main cause of the economy in every household's household is low and unstable. Because most of them are professionals earn daily but very expensive. Regarding the environment, the majority of the population have good waste collection and care for the environment within the household. For health, most problems are chronic illnesses. With non-communicable diseases. Therefore, all 3 issues are relevant and clearly linked. Especially the economic aspect which directly affects the well-being of the people The circumstances of each person are different. Affecting the care for the environment and take care of one's own health of people in the community, both directly and indirectly.
Fuzzy Metric Dimension of Fuzzy Hypercube Qn and Fuzzy Boolean Graphs
Authors:   Research Scholar, Department of mathematics, Government Arts college for Women (Autonomuos), Pudukkottai, affiliated to Bharathidasan University (Tiruchirappalli), Tamilnadu, India., Furjana M.Thusleem , Bhanumathi M. ,   Principal (Retd.), Government Arts College for Women, Sivagangai, India.
Published: March 2020

Let G = (V, E, ) be a fuzzy graph. Let M be a subset of V. M is said to be a fuzzy metric basis of G if for every pair of vertices x, y  V ‒ M, there exists a vertex w  M such that d (w, x)  d (w, y). The number of elements in M is said to be fuzzy metric dimension (FMD) of G and is denoted by  (G). The elements in M are called as source vertices. In this paper, we study the fuzzy metric dimension of fuzzy hypercube Qn, fuuzy Boolean Graph BG2 (G) and fuzzy Boolean Graph BG3 (G).
Novel Methods for Crop Prediction based on Influencing Parameters in Indian Regions using Data Mining
Authors:   Dept. of Computer Science and Engineering, CHRIST( Deemed to be University), Bangalore, India, Joseph Albin , Manohar  ,   Associate Professor, Dept. of Computer Science and Engineering, CHRIST( Deemed to be University), Bangalore, India
Published: March 2020

Agriculture plays a crucial role for the production of food in Indian regions. Indian regions mainly produces crops like rice, wheat, maize and many other types of crop. There are several factors required for the productivity of any harvest, but we know that soil, climate, pesticides, Fertilizers and ground water is most influencing essential factor for the productivity of any harvest. Let us consider soil which is the key element as it provides nutrients for proper development and growth of crops. Secondly, climate is also having major role in agriculture as crop growth depends on rainfall, humidity, temperature etc. Thirdly, Pesticides is widely used to control pest and prevents the damage of crops. Fourthly, Fertilizers can improve the quality of crops. Finally, ground water which will enrich nutrients in soil. The current preparation centers around different information mining procedures utilized in various regions of India and anticipate future harvest along with reasonable information mining procedure saw during the period(1920-2019).The parameters considered for the examination were soil, atmosphere, water thickness, pesticides and composts and Crop informational collection. The Classification calculations utilized in preparation were Adaptive boosting classification, Excess tree classification, neural based classification, Multiple Process classification, Decision making classification, K-closest neighbors, Bayesian theory classification, decision Forest classification, support group machine, and Randomized Gradient Classification. By using the techniques mentioned above we can improve the harvest prediction using information mining techniques which in turn help the farmers to take better decisions in future and it can be used in other technologies like image analyzing etc. The Experimental results show predicted crop, suitable algorithm and algorithm accuracy in that particular state of India respectively.
Mechanical Behaviour of Micro and Nano Scaled Silicon Carbide Reinforced Al 6063 Metal Matrix Composite
Authors:   ResearchxScholar,xDepartment of Mechanical Engineering, ITM University, Gwalior, Madhya Pradesh, India., Ahmad Zishan , Pandey Mukesh Kumar ,   Professor,xDepartment of Civil Engineering, ITM University, Gwalior, Madhya Pradesh, India, Faisal Nadeem ,   Assistant Professor,xDepartment of Mechanical Engineering, ITM University, Gwalior, Madhya Pradesh, India.
Published: March 2020

In this research study Al 6063 is used as the base matrix element, due to less weight, high specific strength, impact strength and good mechanical properties. Further, SiC are reinforced in Al 6063 matrix for enhancing its properties. Stir casting process has been accomplished for fabricating the (Al 6063-SiC) composites. In this experiment two various size of reinforcement particle are utilized, one of them is micro sized and another one is nano sized. Micro sized reinforcement particle has dimensions of (25-40µ), while nano sized particle consists dimensions of 500nm. The weight fraction of the micro and nano sized SiC particle taken in this experiment are in order of 0%, 2%, 4%, 6%, 8%, and 10% respectively. Various mechanical tests such as hardness, tensile tests and impact tests were conducted for determining the effect of micro and nano sized SiC reinforced aluminum matrix composites. The comparative study related with impact strength, hardness and tensile strength of micro and nano sized silicon carbide reinforced with aluminum matrix composites were shown in this work. There is an enhancement of mechanical properties has been observed with enhancement in weight percentage of micro sized silicon carbide, on other hand there is also a decrease in mechanical properties has been found while increasing the weight percentage of nano sized silicon carbide. The main objective of this paper is to enhance the mechanical properties of the Al 6063 metal matrix with reinforcing silicon carbide particle.
A Gamification Framework for Energy Conservation and Customer Engagement in Smart Cities
Authors:   Symbiosis Centre for Information Technology, Symbiosis International University, Pune, India., Sharma Shubhanjali , Prasad Suneel K ,   Professor, Symbiosis Centre for Information Technology, Symbiosis International University, Pune, India.
Published: March 2020

The advancements in technology and the increased use of internet, digital business models and Internet of things (IoT) have paved a way for sustainable and inclusive cities that provide their citizens a clean and sustainable environment. Smart solutions of the smart cities focus on making the life of its citizens comfortable but they fail to make their everyday activities motivated in becoming sustainable. This paper proposes a gamification framework that aims to facilitate energy conservation and customer engagement in smart cities. By using game in a non-game context such as in this gamification framework, helps in keeping the fun element of the game intact while achieving the specified learning objective of energy efficiency. The proposed application aims at identifying energy wastages and motivates behavioral changes of the player combining team play, virtual rewards and life simulation. The paper explains various concepts of gamification and differentiates it from game-based learning. It proposes the gamification strategy, game mechanics drivers and motivators, game engine, game architecture, financial rewards and a detailed set of rules for the proposed gamification application. The application targets at promoting awareness and involvement of the players in managing their own resources, choices and behavior for a sustainable development. The paper aims at motivating the citizens and changing their behavior in a desired way.
Testing and Correlation of 8mm Pitch Honeycomb & Plate Type Module Performance in a 20 Litres SCR Test Facility
Authors:   Mechanical Engineering Department, GRIET, Hyderabad, India., Eswaraiah D. , Karthik G. ,   Mechanical Engineering Department, GRIET, Hyderabad, India., Kumar U. Harish ,   Mechanical Engineering Department, GRIET, Hyderabad, India.
Published: March 2020

The main aim of this experiment is to reduce the concentration of NOx in the exhaust gas below 100ppm with the most effective technique named selective catalytic reduction (SCR) with ammonia over to evaluate the performance of honeycomb and plate type catalyst in NOx reduction by varying the performance parameters such as flue gas temperature, space velocity, NH3 /NO molar ratio, etc., and to find the optimum values of the above parameters under which we get the maximum efficiency of NOx conversion at which air is not polluted and we have the sustained and eco-friendly environment. The effect of various performance parameters on the SCR process is also evaluated and the optimum values of performance parameters are also found to get the maximum efficiency of NOx conversion. SCR performance is substantially under the effects of reactant (ammonia) concentration and operating temperature, so that the concentration of untreated ammonia emitted from reactor discharge (ammonia slip) increases significantly at NH3 /NO ratios of more than 1.14 and operating temperatures less than 360 ºC and 300 ºC, respectively, in the catalytic filter medium and honeycomb reactor. low level of ammonia slip can be achieved at the NH3 /NO ratio of 1 and temperature range of 300–350 ºC in both reactors.The temperature of SCR is varied between 300OC to 350OC ,with a fixed space velocity of exhaust gas and a fixed value of NH3/NO ratio of 1.
Parameters Affecting the Specific Energy Absorption of Circular Side Impact Beam
Authors:   Autombile Engineering Department, Government College of Engineering and Research, Avasari (kh), Pune, India., Patil Sanjay D. , Lengare Dheeraj S. ,   Autombile Engineering Department, Government College of Engineering and Research, Avasari (kh), Pune, India., Bhosale Arvind J. ,   Autombile Engineering Department, Government College of Engineering and Research, Avasari (kh), Pune, India, Bansode Kiran B. ,   Autombile Engineering Department, Government College of Engineering and Research, Avasari (kh), Pune, India., Teltumade Rashtrapal B. ,   Autombile Engineering Department, Government College of Engineering and Research, Avasari (kh), Pune, India.
Published: March 2020

In vehicle design, safety of occupants is one of the most important criteria. During side collisions, space between vehicle body and occupants is very less as compared to frontal collision. Hence, scope for energy absorption due to deformation of vehicle body in side collisions is less. The strength of side door plays important role in the framework of vehicle side body. The strength of side doors during side collision depends upon the impact beam, vehicle construction, layout of doors etc. Among the mentioned parameters, strength of impact beam is a crucial parameter. The impact beam absorbs notable amount of impact energy by deforming during side collision. Design of side impact beam should be optimum as it is limited by weight of vehicle. Parameters like material, dimensions, shape and mountings of beam inside the door are affecting the strength of side impact beam. In this work parameters of circular cross-section impact beam like diameter of beam, thickness of beam and angle of mounting inside the door are studied. Finite element simulation of side impact beam is done in ABAQUS software and its relative effects on Specific Energy Absorption (SEA) capacity of beam is studied. The simulation results are validated with available literatures. The ANOVA analysis followed by Design of Experiments is used to determine contribution of each parameter on SEA. Further various parameters of circular impact beam are studied by examining the result analysis for crashworthiness of side door.
Feasibility of Hybrid Energy Aware Routing for Ad-hoc Network
Authors:   Research Scholar of Department of Computer Science and Engineering, Pacific Academy of Higher Education and Research University, Udaipur, Rajasthan, India., Londhe Gaurav Vishnu , Hiren Dilendra ,   Department of Computer Science and Engineering, Pacific Academy of Higher Education and Research University, Udaipur, Rajasthan, India.
Published: March 2020

In today’s modern era we are facing difficulties in data connectivity, the speed to which the data is transferred and drop in network causes delay in data transfer are the few vulnerabilities we found in the recent years researches in the area of wireless sensor networks. As we have referred in literature to overcome such drawbacks of the existing systems the proposed methodology is planned to recover the issue even in the congestion scenario to avoid the drop in the network and provide the efficient data connectivity with the results of the suggested approach help us to conclude about it with simulation results.
Image Fusion using Non Subsampled Contourlet Transform in Medical Field
Authors:   Assistant Professor, Department of ECE, SRKR Engineering College, Bhimavaram, India., Ravi Jampani , Durga M. Gowri Sri ,   Student, Department of ECE, SRKR Engineering College, Bhimavaram, India., Kartheek Y. D. R. Ch. ,   Student, Department of ECE, SRKR Engineering College, Bhimavaram, India., Begum MD. Shabeena ,   Student, Department of ECE, SRKR Engineering College, Bhimavaram, India., Raju T. ,   Department of ECE, SRKR Engineering College, Bhimavaram, India, Raju T. V. Syamala ,   Assistant Professor, Department of ECE, SRKR Engineering College, Bhimavaram, India
Published: March 2020

Image fusion is a powerful method and developing field in the area of image processing. The image fusion is a type of methodology that combines the two or more images into single more informative image. Image fusion is the process of assimilation of numerous input images into a new single fused image with highly informative than the input image. There are various image fusion transform techniques are proposed. Out of that techniques a Non-subsampled Counterlet transform includes shift invariant property, highly directionality, reduced the cost and more efficient information as compared to previous techniques such as wavelet transform(WT), DWT, LWT, MWT, CWT, Curvelet transform, Contourlet transform. In NSCT, we decompose the images into low frequency and high frequency using sparse representation and absolute-maximum rule respectively. The DGSR algorithm is used for the better performance of SR-based approach. Finally, to reconstruct the image we use inverse NSCT and output is fused image.
A Consumer Friendly Machine Learning Based Mechanism to Recognize the Quality of Commercially Available Fruits
Authors:   PES University Electronic City Campus, Bengaluru, India., C. Deepti , Jindal Arjit ,   PESIT Bangalore South Campus, Bengaluru, India, Reddy Prudhvi ,   PESIT Bangalore South Campus ,Bengaluru, India, D. Amrutha ,   PESIT Bangalore South Campus, Bengaluru, India.
Published: March 2020

Cultivators and sellers of many high-in-demand fruits traditionally preferred natural ripening after picking. Greed of hefty profits has motivated some of them to artificially hasten the ripening process at the cost of people’s health. Artificial ripening processes tend to degrade the entire quality of the fruit. The focus of this work is to describe a nondestructive method to detect artificial fruit ripening. To aid the detection, the proposed solution utilizes image processing and machine learning techniques to find the artificially ripened fruits. An input fruit image is selected as the test image. The next stage involves comparison of the features (histogram values) of the test image with the image of a naturally ripened one. A smartphone runs an android application to identify artificially ripened fruits. This work specifically concentrates on the commonly preferred Indian Mango and Indian Apple. The developed mechanism has an efficiency of 89-94% in correct detection.