bluuebunny/crossref_metadata_2025 huggingface dataset:
Semantic Representation and Optimized Querying of Cancer Data using Modified Shuffled Frog Leaping Algorithm
Authors:   Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India., R* Gomathi , N Vidhya ,   Senior Software developer, The Vanguard group, USA.
Published: October 2019

Cancer registries are most important to predict and treat the cancer disease. Numerous solutions are available in research to analyze the data in cancer registries. However, there is a lack of well defined data model since there is a link to external web pages. In order to overcome this issue a system is proposed to represent the cancer data using a semantic data model. The data model uses a Resource Description Framework (RDF) format to represent the data from the local cancer databases. It also uses an optimized Querying of the semantically represented data using SPARQL query language. The optimization of the queries is done with the Modified shuffled frog leaping algorithm(MSFL). This helps in treatment of cancer patients in an easy way.
Assessment Framework Modeling using Location Aware Computing for Fertilizer Management and Crop Recommendation
Authors:   Research Scholar, M. S Ramaiah Institute of Technology, Affiliated to VTU, Bangalore, Karnataka, India., Alex* Sini Anna , Kanavalli Anita ,   M. S Ramaiah Institute of Technology, Affiliated to VTU, Bangalore, Karnataka, India.
Published: October 2019

Indian economy mainly depends on the agriculture, which contributes a major part in the growth and development of the nation. This is directly connected to the standard of life of farmers which covers more than 40 percent of the country population. Looking at the current situation of agriculture in India, agricultural productivity in India is not competitive to the world standards. For increasing the crop productivity farmers are forced to use more fertilizers which will end in health risk for the consumers. Lack of a proper knowledge of the effective usage of fertilizers and the changing soil nutrient values are the major problems for a farmer apart from the loss due to climate change and so many other factors. To address the problem , we propose to build an application model 'Prediction On Fertilizer Management for Crop Productivity' which enables the farmers to understand and effectively utilize their money with effective methods of seasonal crops production by providing recent and intimate information about which has to be produced, soil suitability, its nutrient values and soil moisture level which pasteurization management methods, how to apply the fertilizers in larger areas, what amount of water must be given, how to develop a model maps to the current scenario of farm areas. Crop Yield Production is basically an aggregation of crop and fertilizer recommendation, soil analysis, and crop yield calculations based on recent market scenario. Through our model we are revising and correcting the existing system with predictive analytics of the usage of effective fertilizers with less health risk.
Meta- Synthesis on Artificial Intelligence (AI): Imperatives for Branding
Authors:   Assistant Professor Dept. of Management Studies G. Pullaiah College of Engineering & Technology (Autonomous) Andhra Pradesh, India, Kolla* Dr. Nagaraju , Kumar Dr. M. Giridhar ,   Dean of Corporate Affairs G. Pullaiah College of Engineering & Technology (Autonomous) Andhra Pradesh, India
Published: October 2019

Customers Can Establish 85% Of Their Relationship With The Organisations Without Interacting With A Human (Gartner Predicts, 2011). This Is Possible When The Machines Think And Act Like Humans. Artificial Intelligence (AI) Produces The Machines So That They Can Think & Act Like Human Beings. AI Has A Wide Range Of Applications But This Research Confines To AI Prospects And Implications On Brand Management. This Paper Aims To Identify Which AI Technologies Are Impacting Brand Identity; Explores AI Applications In Brand Promotions; And Investigates The Influence Of AI On Brand Equity. Meta Synthesis Was Used And The Major Findings Of The Research Include: AI Can Redefine The Brand Identity Framework (Smart Product, Smart Organisation, Brand Character And Symbols). Artificial Intelligence Optimizes The Brand Promotion And Reformulates The Brand Equity Factors.
Using Global Design Elements over Traditional Elements: Measuring Acculturation of Global Consumer Culture Influence on Jordanian Design Students
Authors:   Department of Design, Faculty of Fine Arts, Yarmouk University, Irbid, Jordan, Sokienah* Yaman , Tan Lindsay ,   department of Consumer and Design Sciences/Interior Design, Collage of Human Sciences, Auburn University, Auburn, USA.
Published: October 2019

This study is an investigation of how the level of acculturation of global consumer culture (GCC) among architecture and interior design students and professionals affects their beliefs for using global architectural elements over Jordanian traditional elements. A questionnaire used and modified different existing scales to measure the variables of this study. The results suggest that the more a designer acculturated to GCC the less they are going to use traditional architectural elements. If this attitude toward local and traditional architecture keeps fluctuating will lead to a loss in the local identity
Scalable Handwritten Digit Recognition Application using Neural Network and Convolutional Neural Network On Heterogeneous Architecture
Authors:   Research Scholar, Department of Information Science and Engineering, Ramaiah Institute of Technology, Bengaluru, India., Kataraki* Kirankumar , Maradithaya Dr. Sumana ,   Associate Professor, Department of Information Science and Engineering, Ramaiah Institute of Technology, Bengaluru, India.
Published: October 2019

Recognition of handwritten digit is one of the popular problem associated with computer vision applications. The goal of our research work is to develop scalable Neural Network(NN) and Convolutional Neural Network (CNN) model that would be able to recognize and determine the handwritten digits from its image. Capability of developing the new algorithms and improve the existing algorithms is determined by the accuracy and speed factor for training and testing the models. In this context, performance of the GPUs and CPUs for handwritten digit system and effects of accelerating the training models have been analyzed. The training and testing has been conducted from publicly available MNIST handwritten database. Web based, offline and online handwritten digit recognition system is developed by using Convolutional Neural Network
An Ontology Model to Assess the Agro-Climatic and Edaphic Feasibility of a Location for Rubber Cultivation
Authors:   Research Scholar, Department of Computer Science, Dr G R Damodaran College of Science, Coimbatore, Tamil Nadu., Varghese* Lince Rachel , Vanitha Dr.K. ,   Associate Professor, Department of Computer Science, Dr G R Damodaran College of Science, Coimbatore, Tamil Nadu.
Published: October 2019

One of the important commercial agricultural products is rubber. It is collected from the latex of the tree Hevea Brasiliensis. Because of the rubber’s invaluable qualities such as non-conduction of electricity, elasticity and resistance to water it is used for different purposes. During the last five decades, natural rubber has achieved the highest growth among major crops in the country in terms of expansion area, production and productivity. Sowing, tapping and processing are some common methods of rubber cultivation.Rubber cultivation is considered as an important source of income for rural communities. Various agro-climatic factors such as temperature, latitude, water availability, altitude, wind and edaphic factors such as soil drainage, slope, soil type, soil depth, soil water table and pH have to be considered to find the feasibility of an area for rubber cultivation. In this paper, ontology is constructed to assess the edaphic and agro-climatic feasibility of an area for rubber cultivation. Carefully-collected knowledge that is very domain-sensitive is required for constructing ontology. Ontology contains domain specific knowledge to increase the powerfulness of a particular search engine. Based on the constructed ontology, the edaphic and agro-climatic feasibility of an area is assessed for rubber cultivation.
Optimization of Innovation Projects According To Criteria of Time and Resource Constraints
Authors:   Eastern European Slavic University, Uzhgorod, Ukraine, Rodchenko Larisa , Goncharenko Olena ,   Department of Financial Management and Stock Market, Odessa National Economic University, Odessa, Ukraine, Koval Olga ,   Department of Private and Public Law, Kyiv National University of Technologies and Design, Kyiv, Ukraine, Tarasov Ihor ,   Department of marketing and Commercial Activities, Kharkiv State University of Food Technology and Trade, Kharkiv, Ukraine, Nemchenko Hanna ,   Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine, Tkachuk Tetiana ,   Department of Economics of Industry, Odessa National Polytechnic University, Odesa, Ukraine.
Published: October 2019

Innovative enterprises are distinguished from other enterprises with high competitiveness and economic growth, of course they are leaders in a certain market. However, the development and implementation of innovative projects is carried out under the conditions of limitation: both temporal and resource (financial and labor, etc.).
Priority-Based Virtual Machine Selection Algorithm in Cloud Computing
Authors:   CSE Department, DCR University of Science and Technology, Murthal, Sonepat, India., Kumar* Manoj , Prof. Suman  ,   CSE Department, DCR University of Science and Technology, Murthal, Sonepat, India.
Published: October 2019

Cloud computing technology has gained the attention of researchers in recent years. Almost every application is using cloud computing in one way or another. Virtualization allows running many virtual machines on a single physical computer by sharing its resources. Users can store their data on datacenter and run their applications from anywhere using the internet and pay as per service level agreement documents accordingly. It leads to an increase in demand for cloud services and may decrease the quality of service. This paper presents a priority-based selection of virtual machines by cloud service provider. The virtual machines in the cloud datacenter are configured as Amazon EC2 and algorithm is simulated in cloud-sim simulator. The results justify that proposed priority-based virtual machine algorithm shortens the makespan, by 11.43 % and 5.81 %, average waiting time by 28.80 % and 24.50%, and cost of using the virtual machine by 21.24% and 11.54% as compared to FCFS and ACO respectively, hence improving quality of service.
Numerical Simulation of Flow over a Flat Unglazed Transpired Solar Collector (UTC) and it’s Performance Prediction
Authors:   Mechanical Engineering, Faculty Of Engineering, Christ(Deemed To Be University), Bangalore, India., Panigrahi* Sp , Maharana Sk ,   Aeronautical Engineering, Acharya Institute Of Technology, Bangalore, India.
Published: October 2019

An unglazed transpired solar collector is a system that can leverage the abundant solar energy for various purposes. The solar collector is available in flat or corrugated form and is seen to be installed as an exterior layer of building facades. The cladding thus made absorbs radiation from the sun and heats up air being sucked by fan and flowing through perforations. In this research the focus has been to understand the correlation of plate temperature, exit temperature, the velocity distribution in the chamber and perforation location when air flows past an unglazed transpired solar collector (UTC). The establishment of correlations was carried out in the dataset of flow variables obtained after solving the problem using Navier-Stokes (NS) equations along with standard two-equation (k-ε) turbulence models and Shear Stress Transport (SST ) k-ω models for turbulent flow. The same problem was also solved using NS equation using laminar model. An attempt has also been made to compute Pearson’s correlation coefficient of any two variables to understand their strong and weak correlations. A linear regression analysis was done through an open source software Rstudio for a dataset produced during the computational modeling using a commercial CFD solver, Ansys® Fluent. At the end a Monte Carlo simulation has been done to predict the likelihood of using the flat UTC for drying as well as to understand the dependency of system efficiency on plate exit temperature, suction velocity and freestream temperature.
Air Quality Effects of Pollutant Gases from Brick Kilns near Chennai
Authors:   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India, Kumar A John Presin , Solomon G Ravikumar ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India, S Sivakumar ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India, R Balaji ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India, Nadarajan Mukesh ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, India, Selokar Ashish ,   Accendere, CL Educate India Ltd., New Delhi, India
Published: October 2019

Brick kiln industries are commonly found in most of the regions in our country. Many private sectors consider this type of industry more as a business rather than giving importance to hygiene and health aspects. This work has focused on the air pollutants emitted from brick kiln industries near Chennai and its environmental effects. Majority of pollutants emitted were found to be oxides of nitrogen (NOx), carbon dioxide (CO2) and oxides of sulphur (SOx). Generally all these gases have adverse bad effects on the well health of human community. Workers in brick kiln industries are directly inhaling toxic pollutant gases and suffer with various health complexities. Sampling sites were chosen based on last five years historical data. Experimental survey was done in the chosen sampling sites to observe the severity of pollution around the place. Time bound study and observation was conducted to know the pollution effects in various months ranging from October 2018 to February 2019. Air Quality Index (AQI) was calculated and remedial measures were suggested
Structural and Spectroscopic Properties of Zno/Pva Nanocomposites
Authors:   Department of Physics, Vidya Pratishthan’s Arts, Science and Commerce College, Vidyanagari, Baramati.Dist. Pune, MS, India., J.A*. Bagawade
Published: October 2019

Zinc oxide–Polyvinyl alcohol (ZnO/PVA) nanocomposites doped with varying concentrations of nano ZnO were prepared by solution casting method. Zinc oxide nanoparticles were synthesized by simple chemical route. Structural, Optical and Spectroscopic properties of the prepared nanocomposites were studied by using Ultra Violet Visible Spectrophotometer (UV-Vis), X-ray diffraction (XRD), Fourier Transform Infra Red Spectrophotometer (FTIR) and SEM techniques. XRD and FTIR are used to determine the effect of the synthetic conditions and resulting processing on the material structure. XRD reveals the presence of nano ZnO with hexagonal wurtzite phase in the polymer matrix. The peaks in FTIR spectra of the prepared films show the interaction between nano ZnO and the PVA polymer. SEM shows homogenous dispersion of zinc oxide nanoparticles in the polyvinyl alcohol matrix. The optical properties of ZnO/PVA nanocomposites have been investigated.
Thermal Behaviour of Reinforced Concrete Beam with Static loading Condition.
Authors:   Department of Civil Engineering, SRM Institute of Science and Technology, Chennai, India., Parthasarathi* N. , Satyanarayanan K.S. ,   Department of Civil Engineering, SRM Institute of Science and Technology, Chennai, India., Thamilarasu V. ,   Department of Civil Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: October 2019

This work examines the results on the Reinforced concrete beam element under different temperature scenario. The most contagious or maximum temperature distribution in the RC member will be presumed. In Reinforced concrete beam the flexural failure is vigorously reached by the temperature, and also steel reinforcement has experienced. The present work has studied the two-dimensional static analysis in the ABAQUS finite element software when the temperature remains in the steady-state condition during incremental loading applied in the member. The numerical results show that the temperature distribution in the beam element,load versus deflection curve ,ultimate load, Maximum principal stresses are done in the RC beam under different temperature. There fore the reinforced concrete 3D model is usefull in analytical tool for prediction of the behaviour of RC beam under temperature.
Oscillation of First Order Linear Delay Differential Equation with Variable Coefficients
Authors:   Assistant professor, ShriSakthikailassh Women’s college, Salem-636 003. Tamil nadu, India ., Sowmiya P. , Revathi G.K. ,   Assistant Professor , Division of Mathematics, School of advanced sciences, Vellore Institute of Technology,Chennai 127 Tamil nadu, India ., Preethi N. ,   Assistant Professor, Sri Krishna College of Engineering and Technology Kuniamuthur, oimbatore 108 Tamilnadu, India
Published: October 2019

In this article the authors established sufficient condition for the oscillation of the first order linear delay differential equation ( * ) where is a positive constant, with several variable delays. Some interesting examples are provided to illustrate the results
Cognizance of Language Learning Strategies - The Need of the Hour
Authors:   Associate Prof, Dept of English, GITAM Deemed to be University,Visakhapatnam, Andhrapradesh, India., Padmaja* Dr.C.V. , Reddy Dr P.Sreenivasulu ,   Asissantt Prof, Dept of English, GITAM Deemed to be University, Visakhapatnam, Andhrapradesh, India.
Published: October 2019

Over the years it has been found that the competence of the learners in English at undergraduate level especially in professional colleges is found wanting. The course materials offered at various levels (school, college and undergraduate level) though are often well researched, the communicative competence among majority of students is often found wanting. Text books have been revised, teachers have received orientation, and however the challenge still persists. In this context an overt training course in language learning strategies will help to improve the quality of learning that takes place in the classroom. There has been a shift of emphasis in the present curriculum from teaching, with a focus on equipping the learner with essential language skills and giving the leaner the confidence to use the language effectively in real life situations. With this shift, the teacher/ learner roles have also undergone a change. The learner’s role is envisaged as a negotiator of learning experience and of the teacher as a facilitator, manager and a researcher. Learning English as a service language should be the focus of any curriculum and teachers should have more interactive sessions which will enable the learners in language acquisition. The paper discusses how these strategies of learning will help in enhancing the teaching/ process of learning in the classroom.
Mat Lab Coding and Experimental Analysis of Heat Transfer Rate In Multi Air Jet Impingement
Authors:   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India, Rao* K.Srinivasa , Prasad K.Lakshmi ,   Mechanical Engineering, Lakireddy Bali Reddy College of Enegineering, Mylavaram, India., Sai P.Tharun ,   Mechanical Engineering, Lakireddy Bali Reddy College of Enegineering, Mylavaram, India., Rao Dr. M. Pulla ,   Mechanical Engineering, IIITD, Karnool, India.
Published: October 2019

The Electronic equipment’s have turned out to be practically unavoidable. This electronic gadget assumes a key job in numerous basic zones of innovation and brought about high thickness of segments in little volume. In this manner, there has been a consistent increment in heat squandered rate from electronic segments. Advancement likewise prompted more prominent power in the segments and there is an extensive increment in the heat dissemination of electronic segments. Analysts for the most part utilized the idea of constrained convection air to evacuate heat at the outside of the segments. Increment the existence time of parts. In this present paper impinging air jets is examined tentatively. Heat transfer attributes are analyzed. Analysis have been directed at (Z/D =5, 10 and 15) and Velocity of air (V (m/sec) = 5.6,5.2,4.8,3.9,3.5,2.6) and (V(m/sec)= 6.1,5.8,5.3,3.7,3.3,2.9) for flat plate and pin fin heat sinks are respectively and Heat input (Q=32watts). Empirical correlations are developed from results and Mat lab coding was developed at different conditions and the results show that the relation between heat transfer coefficient Vs velocity and Reynolds number Vs Nusselt number and Nu(theoretical) Vs Nu(experimental) and heat transfer coefficient Vs nozzle to plate distance(z/d).
Various Techniques Involving Plant Leaf Diseases Detection
Authors:   Research scholar, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India., K* Anitha. , S Srinivasan. ,   Assistant Professor, Karunya Institute of Technology and Sciences, Coimbatore ,Tamilnadu, India.
Published: October 2019

In agricultural field, paddy development assumes an imperative job. Be that as it may, their developments are influenced by different diseases. There will be diminish in the plant growth, if the illnesses are not recognized at an early arrange. There are several image processing methods we can custom such as Genetic algorithm, Probabilistic Neural Network (NN), Back propagation Neural Network (BNN), Artificial-Neural-Network(ANN), and Support vector machine(SVM). Choosing an organization technique is continuously a tough task since the worth of outcome can differ for unlike input data. Plant leaf infection categorizations have wide-ranging applications in several fields such as in biological research, in Agriculture etc. This survey affords a summary of dissimilar organisation systems used for plant leaf disease classification. Also we have discoursed prevailing segmentation technique beside with classifiers for exposure of plant leaves.
Taking into account Qualitative and Textual Variables in Hierarchical Ascending Clustering (HAC)
Authors:   University Péléforo Gon Coulibaly, Management Institut Agropastorale - Korhogo, Côte d’Ivoire., ACHIEPO* Odilon Yapo M. , EDI Kouassi Hilaire ,   University Nangui Abrogoua, Mathematics and Computer Science Laboratory - Abidjan, Côte d’Ivoire., N'GUESSAN Behou Gérard ,   Virtual University of Cote d’Ivoire, Research and Digital Expertise unit (UREN) Abidjan., MENSAH Patrice Edoété ,   National Polytechnic institute Felix Houphouet Boigny of Yamoussoukro Côte d'Ivoire,
Published: October 2019

In Machine Learning, the clustering methods are the mains unsupervised methods. Their objectives is to partition a set of objects in some homogeneously groups. Clustering methods in general and more particularly Hierarchical Ascending Clustering (HAC) techniques are based on metrics and ultra-metrics. Metrics are used to evaluate the similarities between two objects; and ultra-metrics are used to estimate the similarity of two groups or the similarity of an element and a group. The main characteristic of these metrics and ultra-metrics is the fact that they are only adapted to numerical variables or can be reduced to them. With the advent of Data Mining and Data Science, most of the datasets to be analyzed contain different types of variables. In the same dataset, we can find numeric attributes, qualitative variables and free text fields very often together. Despite this diversity of variables in the same dataset, the existed clustering methods are generally build to use only an unique kind of attribute. In this paper, we propose an approach to take account different types of attributes in the same clustering method. The method proposed is a variant of HAC methods that can take into account both numerical, qualitative and textual data. Our approach is based on a metric call Phi-Similarity we developed in order to estimate the proximity of two objects, each of them is describe by a vector of attributes of different types. The developed method will be implemented with the scientific computing language R and applied to real survey data. A comparison of the results will be made with HAC techniques based on classical metrics with the Ward criterion as aggregation criteria. For classical algorithms, we will limit ourselves to the variables of the database compatible with them. This work of comparison will highlight the gain in precision in terms of classification brought by our method compared to the classic versions of HAC
Hybrid CNN-LSTM Model for Answer Identification
Authors:   pursed Bachelor of Computer Science and Engineering from Sant Gadge Baba Amravati University, Maharashtra, India, Moholkar* Kavita , Patil Dr. S. H. ,   Professor at Bharti Vidyapeeth College of Engineering, Pune.
Published: October 2019

User quest for information has led to development of Question Answer (QA) system to provide relevant answers to user questions. The QA task are different than normal NLP tasks as they heavily depend to semantics and context of given data. Retrieving and predicting answers to verity of questions require understanding of question, relevance with context and identifying and retrieving of suitable answers. Deep learning helps to produce impressive performance as it employs deep neural network with automatic feature extraction methods. The paper proposes a hybrid model to identify suitable answer for posed question. The proposes power exploits the power of CNN for extracting features and ability of LSTM for considering long term dependencies and semantic of context and question. Paper provides a comparative analysis on deep learning methods useful for predicting answer with the proposed method .The model is implemented on twenty tasks of babI dataset of Facebook .
Factors Influencing the Working Women’s Buying Behavior of Gold Jewelry with Special Reference to Virudhunagar District
Authors:   Department of Commerce, Karpagam Academy of Higher Education (Deemed to be University), India., Muthulakshmi* Mrs.T. , Nandhini Dr.M. ,   Ph.D., Department of Management, Karpagam Academy of Higher Education (Deemed to be University), India.
Published: October 2019

Gold is a metal that attracts a lot of people. Gold is a liquid asset, which can be easily converted into cash. Among Hindus, gold is considered to be the icon of Lakshmi, the goddess of wealth and prosperity. That is why still when the price rises, people continue to acquire it. Consumer perception is vital for all the business unit. The perception of consumers influences their consumer behavior, which will affect the profit of the business. This research attempts to determine the factors that influence customers to purchase gold jewelry in general and to know the consumer perception towards jewelry in the study area in particular. Gold is considered as a secured form of investment against any financial crisis because of its easy liquidity. An attempt has been made in this study to find the factors influencing the customers to purchase gold jewelry.
Trust Based Technique for the Mitigation of Version Number Attack in Internet of Things
Authors:   Computer Science & Engineering, National Institute of Technical Teachers Training & Research, Chandigarh, India., Chandni*  , Kumar Rakesh ,   Computer Science & Engineering, National Institute of Technical Teachers Training & Research, Chandigarh, India
Published: October 2019

The internet of things is the self-configuring type of network in which sensor nodes join or leave the network. The version number is the active type of attack possible in DODAG protocol of IoT. The Shield technique is proposed in the previous research work for the mitigation of version number attack in the network. It is very much complex for the detection of malicious nodes. In this research work, the trust based mechanism is proposed for the isolation of version number attack. The trust based mechanism calculates trust of each sensor node. The sensor nodes with the least trust are identified from the network as malicious nodes. The proposed mechanism is implemented in network simulator version 2. The trust based mechanism and shied based techniques are implemented and results are analyzed in terms of throughput, delay, control message overhead and average power consumption. It is analyzed that in terms of all parameters trust mechanism performs well as compared to shield based technique.
Improved Quality of Service for Mixed Traffic OFDMA –SWIPT System using Log-Normal Distribution
Authors:   Assistant Professor in CVR College of Engineering , Hyderabad, and pursuing Ph.D. -Osmania University, Hyderabad, kumar* Gangishetti Santhosh , Kumar R.Prakash ,   Assistant Professor in CVR College of Engineering ,Hyderabad, and pursuing Ph.D - VTU, Belgavi, completed M.Tech -DSCE in JNTUH, Hyderabad, Reddy Meda Vinod Kumar ,   Assistant Professor in CVR College of Engineering, Hyderabad, completed M.Tech in Embedded Systems at RMCE from JNTU (2009-12)
Published: October 2019

Resource allocation is a protuberant, unavoidable feature for all future communication systems .It is important to maintain true communication between sources to destination without any loss. The Quality of Service (QoS) is also another important factor for any type of mixed and multi user communication. In this paper, OFDMA – SWIPT is considered for mixed traffic communication to data transfer and power (energy) gathering. SWIPT can be operated in two modes for data transfer and power calculation, those are Time Switching (TS) and Power splitting (PS). One of the methodologies for resource allocation can be done by using either PS-SWIPT or TS-SWIPT. By comparing PS-SWIPT and TS-SWIPT under various parameters like PAPR (peak to average power ratio), Channel state information (CSI), Quality of service (QoS), Bit Error Rate (BER) and TS-SWIPT system is best suited method. In this methodology the error rate becoming more, The present SWIPT system is best suited for limited users, if the number of users and mixed traffic is applied then Quality of service (QoS) will decreases. In proposed system, efficiency of the SWIPT OFDM system with Log-Normal function is analyzed. After adding Log-Normal distribution function if we use mixed traffic then QoS will be increasing, in simulation results it is proved.
Fuzzified Crisp Relative Cure Hierarchical Clustering for Temporal Relational Data
Authors:   Research Scholar, Department of Computer Science, Jairams Arts and Science College, Karur, Tamilnadu, India., Dhas* L. Jaya Singh , Mukunthan B. ,   Research Supervisor & Assistant Professor, Department of Computer Science, Jairams Arts and Science College, Karur, Tamilnadu, India.
Published: October 2019

A bitemporal data clustering is a significant solution to the diverse problems for finding the intrinsic structure and compact information over temporal data. The temporal data are collected in the series of particular time periods. The various data mining methods have been developed in the temporal relational data analysis. But the accurate analysis was not performed with minimum time. An efficient technique called Fuzzy Crisp Relative Spherical CURE Hierarchy Clustering (FCRSCHC) is introduced for improving the temporal relational data analysis by partitioning the total dataset into different clusters with minimum time as well as space complexity. The CURE hierarchical structure takes the number of scattered temporal data points in the spherical surface for the clustering. After that, ‘k’ number of clusters and the representative points (i.e. cluster centroid) are initialized. Then the distance between the representative point and the temporal data point are calculated using spherical coordinates. The minimum distance between the data points are grouped into a particular cluster. Then the fuzzy memberships between the two cluster representative points are calculated based on the distance metric. The CURE hierarchical structure merges the two clusters based on the crisp relation between the representative points. Then, the newly obtained clusters are validated using the silhouette coefficient to identify the data points are close to its own cluster or their neighboring clusters. Finally, the optimal numbers of clusters are obtained and minimize the incorrect data clustering which improves the accuracy. The experimental evaluation is performed using a bitmeporal dataset with various parameters such as clustering accuracy, false alarm rate, clustering time and space complexity. The results show that FCRSCHC technique improves the clustering accuracy and minimize the time as well as space complexity as compared to the state-of-the-art- works.
Some Topological and Modal Operators over the Intuitionistic Fuzzy Sets of Cube Root Type
Authors:   Department of General Studies, Jubail Industrial College, 8244 Al Huwailat, Road No. 6، Al Jubail 35718,Saudi Arabia, Iqbal* Mohammed Nabeel
Published: October 2019

In this paper, we defined newly topological operators and modal-like operators and negation over Intuitionistic Fuzzy Sets of Cube Root Type (IFSCRT) are proposed and few theorems are proved. In addition, some of the basic properties of the new operators are discussed
Linear Attribute Projection and Performance Assessment for Signifying the Absenteeism at Work using Machine Learning
Authors:   Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Devi* M. Shyamala , Vudatha Usha ,   III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Mukherjee Sukriti ,   III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Donthiri Bhavya Reddy ,   III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Adhiyan S B ,   III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Jishnu Nallareddy ,   III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India.
Published: October 2019

In recent times, with the technological advancement the industry and organization are transforming all their inflow and outflow operations into digital identity. At the outset, the name of the organization is also in the hands of the employee. One of the major needs of the employee in the working environment is to avail leave or vacation based on their family circumstances. Based on the health condition and need of the employee, the organization must extend their leave for the satisfaction of the employee. The performance of the employee is also predicted based on the working days in the organization. With this view, this paper attempts to analyze the performance of the employee and the number of working hours by using machine learning algorithms. The Absenteeism at work dataset from UCI machine learning Repository is used for prediction analysis. The prediction of absent hours is achieved in three ways. Firstly, the correlation between each of the dataset attributes are found and depicted as a histogram. Secondly, the top most high correlated features are identified which are directly fitted to the regression models like Linear regression, SRD regression, RANSAC regression, Ridge regression, Huber regression, ARD Regression, Passive Aggressive Regression and Theilson Regression. Thirdly, the Performance analysis is done by analyzing the performance metrics like Mean Squared Error, Mean Absolute Error, R2 Score, Explained Variance Score and Mean Squared Log Error. The implementation is done by python in Anaconda Spyder Navigator Integrated Development Environment. Experimental Result shows that the Passive Aggressive Regression have achieved the effective prediction of number of absent hours with minimum MSE of 0.04, MAE of 0.16, EVS of 0.03, MSLE of 0.32 and reasonable R2 Score of 0.89.
Condition Monitoring in Drilling Operation based on Vibration Signals
Authors:   Department of Mechanical Engineering, Vel Tech Multitech, Avadi, Chennai-62, India., Stephen R* John , T Dr.Thangeswari ,   Department of Physics, Vel Tech Multitech, Avadi, Chennai-62, India., S Dr.Palani ,   Department of Mechanical Engineering, Vel Tech Multitech, Avadi, Chennai-62, India., Dinakaran Dr.D. ,   Department of Mechanical Engineering, Hindustan University, Chennai-603103, India.
Published: October 2019

Tool condition monitoring is the efficient process for all machining managing operation and the maintenance of machinery operation. Tool condition monitoring implies effective production cost, the rate of tool life, tool quality, dimensional accuracy in terms of tolerance and surface finish in machine shop. Here the machining operation is fully depending on the whims & fancies of the operator. So when a new person operating the machine it makes more troubles in terms to find out the tool wearing point and it make operation difficulty by the operator. To overcome this difficulty a systematic methodology required for machining operation. This paper deals with monitoring the condition on the drilling operation with the help of Accelerometer sensor a physical vibration model 8636C50 having a broad band sensitivity of Sensitivity (±5%) 100.0mV/g and resonant frequency up to 22.0 kHz and performing the drilling operation on EN 24 steel at various operation parameters and analyzing the time domain signal response and frequency domain response graph and implemented analyze the feasibility of proposed methodology for practical applications. Further, the Lab View was used to predict amplitude of work piece vibration which determines the tool condition after various experimental tests. In the time domain, the characteristic parameter during drill wear represent RMS value increase in flank wear and also shows the linear relationship between these two. In the frequency domain, the characteristic parameters during drill failure represent the magnitude of vibration amplitude and the increase in flank wear. Here multilayer Artificial Neural Network (ANN) model, Fuzzy Neural Network and Taguchi Method have been trained with the experimental data using back propagation algorithm. Condition monitoring of drilling is fully depending on the vibration signals. Based on the vibration signal the tool wear point is found out. Experiments results indicated the effect of unconditional drilling operation and detected the tool failure and proper operating condition for drilling machining.
Implementation of Rapid Upper Limb Assessment Technique in Automotive Parts Manufacturing Industry
Authors:   Associate Professor, Department of Industrial and Production Engineering, JSS Science and Technology University, Mysore, Karnataka, India, Kumar* Dr. D.Arun , RAMESH Dr. V. ,   Professor, Department of Industrial and Production Engineering, JSS Science and Technology University, Mysore, Karnataka, India, M.G Prof. Skanda ,   Assistant Professor, Department of Industrial and Production Engineering, JSS Science and Technology University, Mysore, Karnataka, India
Published: October 2019

Workplace safety is a paramount aspect of for any industry. It is the responsibility of the employer to provide a safe and hazard free environment by minimizing the risk. Current study focuses on the implementation of Rapid Upper Limb assessment (RULA) in an automotive parts manufacturing industry. Based on the research conducted it is argued that, there is a scope in the manufacturing industries to conduct ergonomic study to create a safe working environment with minimum risk and effort. The industry has successfully implemented all the suggestions made by the authors without much investment. This case study is an attempt to create an awareness and healthy workplace environment by ergonomic interventions. RULA method found to be useful assessment technique and acts as a proactive tool to handle safety issues in the work place.
Procurement Methodologies to Optimize the Inventory Levels of Spare Parts
Authors:   Department of Mechanical, Amrita Vishwa Vidyapeetham, India., Anbuudayasankar* S P , N Sathish ,   Department of Mechanical, Amrita Vishwa Vidyapeetham, India., Deepan Maghara ,   DGM Supply chain &operations - Global support centre, ELGI Equipments Ltd., M S Narassima ,   Department of Mechanical, Amrita Vishwa Vidyapeetham, India.
Published: October 2019

Inventory is essential for the smooth running of any organization. It acts as a link between procurement and sales. Inventory constitutes of current assets/ working capital of the organization. Thus, it is very essential to have suitable control over inventories. The purpose of inventory management is to ensure availability of parts in sufficient numbers as and when required and also to minimize the accumulation. The main objective of this paper is to devise an inventory management method for spare parts management system in order to utilize the space effectively and to stabilize FIFO system which would help the company personnel to keep record of spares precisely. A three dimensional approach is performed using sales order line frequency, seasonal frequency and sales value through ABC analysis. In addition to this, four different procurement techniques are adopted viz., one bin, two bins, multi bins and zero bin. Demand variation is measured for a period of last one year and this parameter is included during the calculation of the inventory maintenance. It is evident that a large amount of money is saved without compromising the customer order fulfilment.
Heat Transfer Enhancement and Flow Physics Behavior of Fluid in Circular Tube with Insert
Authors:   School of Mechanical and Civil Engineering, MIT Academy of Engineering Alandi (D), Savitribai Phule Pune University, Pune, India,, Deshmukh *Shrinivas C. , Deshmukh Dr. Prashant W. ,   Department of Mechanical Engineering, College of Engineering, Pune, India., Hatte Prafulla R. ,   School of Mechanical and Civil Engineering, MIT Academy of Engineering Alandi (D), Savitribai Phule Pune University, Pune, India.
Published: October 2019

The paper presents computational fluid dynamics study of non-conventional insert vortex generator using Commercial software, to analyze the effect of vortex generator insert on heat transfer augmentation and fluid flow behavior. The study was done for Reynolds number 10000, 15000, 25000, 35000 and 45000 with working fluid as air flowing through a tube with a constant heat flux of 1000 w/m2. Current study validates the experimental results from the literature study. The heat transfer of these inserts with various geometrical arrangements viz. pitch to projected length ratio, angle of attack and height to inner diameter ratio are investigated here with the help of computational fluid dynamics software. The physical mechanism of formation and development of vortex flow from the leading edge to trailing edge of the insert is studied and it is observed that Nusselt number increases as an increment in Reynolds number. The ratio of augmented Nusselt number to smooth tube Nusselt number is found to be decreasing with increase in Reynolds number.
The Impact of Automobile Tires on the Environment from the Period of Raw Materials to the Disposal of Them
Authors:   Professor, Mechanics of Deformable Solids, Samarkand State Architectural and Civil Engineering Institute Samarkand, Uzbekistan, Kubaymurat* *Ismayilov , Gulomovna Karimova Kamola ,   Lecturer, Department of Elevated transport systems, Jizzakh Polytechnic Institute, Jizzakh, Uzbekistan
Published: October 2019

In this article, all stages on the life cycle of automobile tires and technical ISO standards are used to assess. One of the life cycle of the use of tires, this time allocated to chemical and mechanical connections. Developing countries account the amount of tires in the press and processing methods, as well as used tires on the environment and human health impact of information
Retrieving and Saving Meaningful Keywords in Unstructured PDF Documents using Binary Decision Diagrams
Authors:   Assistant Professor in School of Computer Application at Lovely Professional University, Punjab India., Sharma* Anuragini
Published: October 2019

With the growing intricacy in data engendered and processed across sundry platforms today, the desideratum for consistency has grown. Structured data is utilized for a number of purposes which is not feasible with unstructured data. The purpose of this study was to convert data from unstructured format to structured in portable document format with the help of new framework using the concept of Binary Decision Diagrams and Boolean operations. Binary decision diagrams are data structures for representing Boolean functions taking Boolean as input and generating Boolean as output and hence creating a binary diagram. This research is mainly carried out to show how we can store large number of data easily in the form of bits. The entire focus is on retrieving the meaningful information from unstructured textual data in PDF documents using Boolean operations and bag model, thus, saving the meaningful keywords in the form of binary decision trees. Later on clustering the documents based on commonalities between the documents. This research presents a way for increasing the efficiency of converting unstructured data to structured in PDF and saving huge number of data in the form of bits using this novel framework.
Water Resources Management by Aquifer storage and Recovery in Jordan
Authors:   Civil Engineering Department , Faculty of Engineering,Jerash University , Jordan, AlAjlouni Dr Mohammad Fawzi Mousa
Published: October 2019

Water resources in Jordan are very inadequate which is why its name is counted among the countries that have the lowest level of water per capita in the world. The demand for water at this time surpasses the available resources of renewable water which have been overexploited in order to eliminate the gap. However, it is also predicted that in all the sectors of water, this gap is potential of widening in the future. To overcome the situation of water scarcity, there is a need for endangering sustainable development thus Jordan is required to adopt a strategy for planning and storing water crucially. The proposed method or approach in this project is focused on managing demand and developing non- conventional resources of water. This paper has provided the strategy of Aquifer storage and recovery for coping with the current water situation in Jordan along with water development and planning components.