bluuebunny/crossref_metadata_2025 huggingface dataset:
Complexities in Implementing the Frame Work of E-Governance Plan of Indian Government in using with Developmental for Tamilnadu Citizens- By using Data Mining Methods
Authors:   Ph.D Research Scholoar,Department of Computer Science, Quaid –E-Millath Government College for Women(Autonomous),Chennai, Jayachandran* S. , Nirmala Dr.Mrs.K. ,   (Supervisor & Convener),Associate Professor & Head Dept .of Computer Science ,Quaid-E-Millath Government College for Women (Autonomous),Chennai
Published: December 2019

With the landing of advanced India affiliation, our nation is operational through solid computerized correspondence. In today circumstance, India government gives e-administrations to all people groups at their entryway ventures through e-administration. Invigorated by the need to change e-taxpayer supported organizations to e-incorporation applications, we recommend the use of information digging systems for preparing the legislative information to concentrate and partner data sections with genuine resident needs and in this manner empower the epitome of the later in future administrative choices. Information Mining systems are utilized to broke down the information gained from NeGP National e-Governance Plan is an activity of Government of India for making every administrative administration are accessible to natives of India through electronic media of different E-Governance ventures has been actualized in all states. In Tamil Nadu states providing various schemes followed by social welfare Schemes has been implemented in all districts. The recommended method of data mining can be accommodating for the government to supplementary investigate other public recipient systems.
Optimization Techniques for History Matching and Production Forecasting
Authors:   Department of Chemical Engineering, University of Petroleum and Energy Studies, Dehradun, India., Vadicharla* Giridhar , Sharma Pushpa ,   Department of Petroleum Engineering and Earth Sciences, University of Petroleum and Energy Studies, Dehradun, India.
Published: December 2019

Reservoir modelling and production forecasting can provide vital inputs to the efficient management of petroleum. Since the reservoirs are highly heterogeneous and nonlinear in nature, it is often difficult to obtain accurate estimates of the spatial distribution of reservoir properties representing the reservoir and corresponding production profiles. If an accurate model of a reservoir is built, it can lead to efficient management of the reservoir. This paper describes the mathematical modelling of oil reservoirs along with various optimization techniques applicable for history matching and production forecasting. Gradient based and non-gradient based optimization techniques viz. Simulated Annealing (SA), Scatter Search (SS), Neighborhood algorithm (NA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Ensemble Kalman Filters (EnKF) and Genetic Algorithm (GA) and their application to reservoir production history matching and performance are presented. The recent advancements and variants of these techniques applied for the purpose are also presented.
Disease Prognosis by Machine Learning Over Big Data from Healthcare Communities
Authors:   Professor of Department of CSE, Sahrdaya College of Engineering and Technology. Thrissur, Kerala, India., Rajeswari* Dr.M. , Chandrasekar Dr. A. ,   Professor of Department of CSE Malla Reddy Institute of Technology and Science, Secunderabad., PM Nasiya ,   Assistant Professor of BCA, MES Asmabi College, P.Vemballur, Kerala, India.
Published: December 2019

With huge information headway in biomedical and healthcare communities, appropriate examination of therapeutic information helps early sickness identification, tolerant consideration and network administrations. Prediction accuracy is diminished when the nature of medicinal information is inadequate. At that point the various areas appear, one of kind qualities of certain local infections, which may debilitate the expectation of illness episodes. In this paper, machine learning method is applied for viable forecast of interminable disease in the history of predicting diseases. The main intension is to have different prediction models over genuine medical clinic information gathered from focal China in 2013-2015. To conquer the trouble of deficient information, a latent factor model is used to regenerate the irrecoverable data. Here, experiment on a territorial chronic infection of cerebral localized necrosis is done. CNN-MDRP (convolutional neural system based multimodal infection chance prediction) algorithm is explained utilizing organized and unstructured information from medical clinic. Apparently, none of the current work establishes on the two information types in the zone of therapeutic enormous information investigation. Contrasted with numerous prediction algorithm, the precision accuracy of the proposed method arrives at 94.8% with a combination speed which is quicker than that of the CNN-UDRP(convolutional neural network based unimodal disease risk prediction) technique.
Optimizing Energy Utilization in Ant Based Multipath Routing
Authors:   Department of Computer Science, S.A Jain College, Ambala city, India., Atri* Jaideep , Upadhyaya Shuchita ,   Department of Computer science & Applications, Kurukshetra University, Kurukshetra, India.
Published: December 2019

Energy is an important resource in the field of Mobile Ad hoc Networks (MANETs). Limited energy at a particular node may lead to failure of a route in MANETs. The energy is consumed each and every time a node participates in transmission and forwarding of the packets. Controlling the number of packets to be forwarded through a particular node i.e. controlling participation of a node as an intermediate node may improve the overall energy state of the network. Ant colony Based Energy Efficient Routing Protocol (ACBEEMR) works on this principal and controls the number of packets to be forwarded through a particular node. For achieving this goal, it uses a threshold value known as energy factor. ACBEEMR utilizes the benefits of Ant Colony Optimization along with the feature of being an energy efficient protocol. In this paper, a modified variant of ACBEEMR i.e. MACBEEMR with some added functionalities has been introduced. This variant of ACBEEMR aims to increase the lifetime of the network. The Modified ACBEEMR (MACBEEMR) has also been compared with other multipath protocols.
A Numerical Method for Solving Nonlinear Equations Arising in Astrophysics
Authors:   Electrical Engineering Department, College of Engineering, Jouf University, Skaka, KSA, Zattwa@ju.edu.sa and also Engineering Mathematics and Physics Department, Shoubra Faculty of Engineering, Benha University, Egypt, Zaki* Z. A. , Ahmad Naeem ,   Department of Mathematics, College of Science, Jouf University, Skaka, KSA, Ghonamy Marwa I. ,   Department of Mathematics, Faculty of Science, Tabuk University, Tabuk, Saudi Arabia and also Mathematics Department, Faculty of Science, Benha University, Egypt, El-Salam F. A. Abd ,   Engineering Mathematics and physics Department, Shoubra Faculty of Engineering, Benha University, Egypt, Azam A. M. ,   Civil Engineering Department, College of Engineering, Jouf University, KSA
Published: December 2019

In this paper, a parametric cubic spline function was used to get the solution of a non-linear problem for an isothermal gas sphere. The quasi-linearization procedure was used to reduce the given problem to a sequence of linear problems, the resulting equations are modified at the singular point and are handled by using parametric cubic spline for determining the numerical results. All computations have been carried out by the Mathematica software program package. The findings of computational outcomes on those astrophysics problems confirmed that the technique is legitimate for the solution of these kinds of equations.
Effect of Lightweight Waste-Based Aggregate on Lightweight Concrete
Authors:   Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Beddu* Salmia , Muda Zakaria Che ,   Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Mohamad Daud ,   Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Agusril  ,   Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Sadon S N ,   Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Hanafi M ,   Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Naganathan Sivakumar ,   Department of Civil Engineering, S.S.N College of Engineering, Old Mahabalipuram Road, Kalayakkam –603110 (Off Chennai), Nazri Fadzli Mohamed ,   School Civil Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, Malaysia.
Published: December 2019

This paper study the effectiveness of waste material from industrial by-product as lightweight self-cured concrete. Waste material involved in this study is coal bottom ash, oil palm boiler clinker and hydrogel from diapers. Coal bottom ash (CBA) used as a fine aggregate replacement whilst oil palm clinker (OPBC) added into the concrete mixture as partial replacement of coarse aggregate in order to produce lightweight concrete. In addition, hydrogel from disposable diapers was acted as self-curing agent. Different percentage of CBA as the fine aggregate replacement in concrete was used with the constant value of OPBC as coarse aggregate replacement. The result shows that the concrete sample containing 100% replacement of CBA has the lightest density as compared to other samples. In terms of compressive strength, the sample containing 40% replacement of CBA has similar compressive strength to control sample with reduction of the density of 22% when compared to the control sample. It is concluded that the recycling of CBA and OPBC as replacement material in lightweight concrete has good potential and also processing of CBA and OPBC to develop nano-material are the future potential of CBA and OPBC research for energy efficiency building.
A Wireless Wearable Back Angle Measurement System for Sports and Therapeutic Applications
Authors:   School of Engineering, GD Goenka University, Sohna, Haryana, India., Chowdhar*y Ramandeep Singh , Basu Mainak ,   School of Basic and Applied Science, GD Goenka University, Sohna, Haryana, India.
Published: December 2019

Back angle measurement in coronal plane provides a significant insight into the condition of spinal cord for certain physical conditions. This data would especially be useful for sports and therapeutic conditions, namely for modification of playing styles, ergonomic design, treatment of back pain and many more. Such data can also be used for injury predictions in case of repeated similar lower back movements. In this communication the authors implemented a wearable wireless system which can gather the necessary data from the candidate’s body which can be further used with data analytic techniques. The implemented system is based on a modular platform which uses plug and play hardware modules viz. micro-controller, accelerometer sensor, gyroscope and an RF module. A wireless node designed, which can use the sensor data to analyze lower back movement of subject’s body. A hub-module is connected to the laptop at remote site for wireless data acquisition of the meaningful signals. The implemented system shows improvement in experiment error which is an advantage over similar existing systems.
Getting Graft Cellulose Copolymers and Acrylic Monomers
Authors:   Department of Chemistry, Faculty Technology of the textile industry, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Rafikov* Prof. Adham Salimovich , Khojiboyevich Assoc. Prof. Karimov Sardorbek ,   Department of Chemistry, Faculty Technology of the textile industry, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Mirzayev Assoc. Prof. Nodir Baxodirovich ,   Department of Technology and design of leather goods, Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Doniyorovich Assistant Nabiyev Nabijon ,   Department of Chemical technology, Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Shuhratovich Master Ibodulloev Bekzod ,   Department of Chemical technology, Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan
Published: December 2019

Graft copolymers of acrylic monomers with cotton cellulose were obtained. The dependence of the degree and efficiency of grafting of acrylic acid and methyl methacrylate to cellulose on the concentration of monomer and initiator was investigated. Pre-adsorption of the initiator in the macromolecules of cellulose leads to an increase in the efficiency of the grafting. The efficiency of grafting is higher in those systems in which the initiator used is insoluble in the monomer solvent. Absorption of cellulose with an aqueous solution of the initiator - potassium persulfate, followed by removal of water was done. The advantage of using a water-soluble initiator is that during subsequent processing with a solution of monomer in an organic solvent, the desorption of the active centers does not occur. An increase in the concentration of theinitiator leads to an increase in the degree of grafting, a slight increase in the efficiency of the grafting, a significant decrease in the degree of polymerization and the molecular weight of the graft chains. In a heterogeneous process, an increase in the efficiency of grafting with an increase in the concentration of theinitiator is promoted by the additional adsorption interaction of the initiator molecules with the surface of cellulose. With an increase in the concentration of monomers, the overall degree of conversion slightly increases, the efficiency of grafting slightly decreases, the degree of grafting and the molecular weight of the graft chains increase significantly. The mechanism of graft copolymerization was investigated by comparative analysis of the IR and PMR spectra of cellulose, potassium persulfate, acrylic monomers and products of their interaction. Due to the results of spectroscopic studies, a scheme of graft copolymerization reactions has been proposed. The active centers of graft copolymerization are formed as a result of the reductive interaction of potassium persulfate, water and cellulose macromolecules.
Business Intelligence using Data Mining Techniques for Salon Industry
Authors:   Department of Computer Science, School of Computing Sciences, Vels Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, India, R* Padma , Sheeba* S Josephene ,   Department of Computer Science, School of Computing Sciences, Vels Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, India., Raja Dr. A.Thirumurthi ,   Department of Computer Science, School of Computing Sciences, Vels Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, India
Published: December 2019

Data Mining has many application areas. One such application area is in Salon Industry. This paper presents the aims to harnessing the power of information to support marketing and management decisions, in Salon Industry. A group of salons data was collected, analyzed and its impact on business growth and decisions. This case study used a collage of the existing datamining techniques to aid the Salon industry to augment the business expansion, tactical decision making, and strategic marketing activity using the mined knowledge to understand customers, products and effective use of resources. This work gives an idea of the vast opportunity for growth in the beauty sector using data mining, to impact the managers and investors.
Effectiveness of Digital Marketing Initiatives in Improving the Performance of Banks with Special Reference to HDFC Bank
Authors:   Institute of Management Technology, Ghaziabad, Delhi NCR, Singh Chetanya
Published: December 2019

Digital marketing is an umbrella term for all online marketing efforts by an organization. Businesses use Google search option, own and others websites, emails and various social media platforms to connect with consumers. This study aims to identify the impact of digital marketing effectiveness on sales performance, take insights from customer responses, identify gaps and give recommendations, which will boost sales productivity. Sales performance or productivity increase through retaining existing customers as well as acquiring new ones. In this study retention, approach is considered as retaining new customers is less costly and less time consuming than acquiring new ones. The major issue that is focused on this study is sales performance of the bank. The mode of increasing the sales is via digital marketing. This problem has effects on current practices and business. Low income results in low profit, which in turn means dividend paid to shareholders is less. This also means retained earnings are low which in turn implies that capital available for investment in new businesses and reinvestment in existing businesses and less. Inefficient use of digital marketing potential could mean lost sales. In this digital era, customers as well as potential customers may switch to competitors if they are unsatisfied with digital marketing of the bank. However, out of the two factors identified, only website and emails effectiveness have significant impact on sales effectiveness.
Broadband and Efficient Full Wave Rectenna for Wireless Energy
Authors:   Department of Electronics and Telecommunication Engineering, Jadavpur University, 188 Raja S. C. Mallick Road, Kolkata -700032, India., Belamgi* Sharanbasappa B , Ray Sudhabindu ,   Department of Electronics and Telecommunication Engineering, Jadavpur University, 188 Raja S. C. Mallick Road, Kolkata -700032, India.
Published: December 2019

This paper presents a novel approach to realize a broadband full wave rectenna for wireless energy transfer at 2.45 GHz ISM band. The full wave rectenna structure is designed using a center shorted dual edge feed microstrip patch antenna and two Schottky diodes. This antenna is inherently broadband in nature and can provide differential voltage at its two feed points. An optimized full wave rectenna is fabricated and tested. The proposed rectenna provides more conversion efficiency than a rectenna with similar antenna and conventional half wave rectifier.
Classification and Change Detection of Tirupati Urban Area using Erosion and Dilation Based PCA Transform
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Sri Venkateswara University College of Engineering, S.V.University, Tirupati, Andhra Pradesh, India, Dharani* M. , Sreenivasulu Dr. G. ,   Professor, Department of Electronics and Communication Engineering, Sri Venkateswara University College of Engineering, S.V. University, Tirupati, Andhra Pradesh, India.
Published: December 2019

In remote sensing, the identification of the land use and land cover (LULC) changes in the global and local region are developed by classification and detection algorithms. This classification system can be developed to meet the needs of state agencies, and Federal for an up-to-date analyze of LULC throughout the entire selected of region area. The multispectral images have multiple low-resolution bands due to lack of sensory acquisition problem, haze-covered on earth objects and atmospheric distributions. So difficult to analyze the full information, the user wrongly interprets the information. Image processing applications can be done for compress and enhance the details of land surface details. The Principal Component Analysis and Morphological operations are implemented for compressing and feature extract the color and earth object values with good accuracy level. Change Detection between the time difference of the proposed enhanced images for land objects classes was computed. The most extensive land cover change category identification of the Tirupati urban Agricultural and forest area for the last 14 years. The change analyzed by using the image differencemethod for obtaining the changing level of the forest and urban development areas between two-timeintervals.
AN Efficient Ant Colony Optimization Algorithm for Resource Provisioning in Cloud
Authors:   Mathematical Sciences Department, Abubakar Tafawa Balewa University Bauchi, Nigeria., Aliyu* M. , Murali M. ,   Department of Computer Science and Engineering, SRM IST, Tamilnadu, India., Gital A. Y. ,   Mathematical Sciences Department, Abubakar Tafawa Balewa University Bauchi, Nigeria., Boukari S. ,   Mathematical Sciences Department, Abubakar Tafawa Balewa University Bauchi, Nigeria.
Published: December 2019

Paper Several Ant Colony Optimization (ACO) techniques for Cloud resources management are considered by many researchers. ACO techniques in existence still need some improvements for effective resource management and planning with the heterogeneous and voluminous services offered. Hence, an optimized hybrid scheme that combined deterministic characteristics for exploiting ACO search process is proposed. Spanning Tree (ST) algorithm was chosen in the hybridization that obtained a faster convergence speed, minimized makespan time and throughput that ensured resource utilization in least time and cost. Extensive experiments were conducted in cloudsim simulator provided an efficient result compared to other ACO techniques as it significantly improves performance.
Secure Cloud Data Audit using Protocol and Digital Signature Techniques
Authors:   School of Computer Science, University of Petroleum and Energy Studies, G L* Prakash , Prateek Manish ,   School of Computer Science, University of Petroleum and Energy Studies, Singh Inder ,   School of Computer Science, University of Petroleum and Energy Studies
Published: December 2019

Cloud computing is one of the important business models in the modern Information Technology. It provides various services (hardware, software) to the users with minimal interaction and low-cost. Storage service is one of the most useful services in cloud computing, which move data owners data from local computing system to the cloud. In this paradigm, once the data moves from the local computing system to the cloud, the data owner lost the physical control of the outsourced data on the cloud. So that, storage service creates data security challenges. Therefore, the integrity of the outsourced data has to be verified frequently using public or private verification method. In this paper we focus on two data security concern such as data confidentiality and remote data integrity on cloud storage system. In order to ensure the data integrity and reduce the data owners computational resources, in this work we have proposed a remote data integrity auditing methods such as Remote Data Audit using Protocol(RDAP) and Remote Data Audit using Digital Signature (RDADS) methods. To analyze the performance of the system, first, we define the single data owner on multiple servers and then multiple data owners on a single server for public data verification. Besides, these methods not only verify the integrity of data, but also detect the invalid data block during the verification process.
Design and Analysis of 1x2 Circular Patch Antenna Array for 2.4 GHz Applications
Authors:   Assistant Professor,Department of Telecommunications, R.V. College of Engineering, Bangalore, India., P* Shanthi , Shah Yashvi Mehul ,   Department of Telecommunications, R.V. College of Engineering, Bangalore, India., C A Siddharoodha ,   Department of Telecommunications, R.V. College of Engineering, Bangalore, India.
Published: December 2019

A 1x2 Circular micro strip patch antenna array operating at 2.4GHz using Ansys based HFSS simulator software is designed. It is useful for different WLAN (wireless local area network) applications, Bluetooth and IoT communications. The circular patch antenna is constructed on a FR4 substrate with dielectric constant = 4.4 and height of the substrate is 1.6mm and is fed using edge feeding technique. Several antenna characteristics such as return loss, radiation pattern, bandwidth, directivity, antenna gain, radiation efficiency etc. are studied.
Optimization Technique for Approximate High Impact of Node Density for Two Hop Relay Manets
Authors:   Department of CSE, GIET College of Engineeing, Rajahmundry, Andhra Pradesh, India., Sheik* Meerasharif , Rao Bobba Basaveswara ,   Department of CSE, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India.
Published: December 2019

Networking system is fast growing field in the world. Daily lot of changes, improving and sophisticated devices are invented. Investigation on impact of node density on the two Hop Relay Mobile Ad Hoc Networks performance under limited buffer constraint is improved. To achieve this objective per node throughput and end to end delay are considered as performance metrics. The optimal parameters of packet generating probability, source buffer, relay buffer and routing control parameter are considered to study the dynamic nature of node density for fixed area of a MANET. The optimal node density is calibrated numerically when the throughput is maximized. The supporting experimentation is presented and drawn conclusions. The optimization technique will reveal the impact of node density for two hop relay MANETs and also identifies the dynamic behavior of the system for better performance of the network. The Strong recommendation of the technique is to strengthen the system.
Escape Velocity backed avalanche predictor- Neural evidence from Nifty
Authors:   IMCU, Christ University, Bangalore, India., Ghosh* Bikramaditya , Kozarević Emira ,   Faculty of Economics, University of Tuzla, Tuzla, Bosnia & Herzegovina
Published: December 2019

The concept of escape velocity has been extended from physics to stochastic finance and used as an avalanche predictor. Escape velocity being an extreme event serves as a perfect proxy of this stochastic finance event. This study identifies the propensity of the capital market to explode on rare occasions, which could be termed as avalanche. The frequency of such movement (both up and down) may not be high; however, the amplitude will be significantly high. The underlying for the study is Nifty, bellwether Indian bourse. Escape velocity has been calculated for Nifty on a daily basis for 17 years and prediction modelling has been constructed applying artificial neural networks (ANN) and multiple adaptive regression splines (MARS) simultaneously. Results indicate queer coupling of US events and Nifty apart from the evident behavioural traces. This research work is aimed at providing an implicit form of avalanche predictor from a distinctly different reference point.
Benchmarking of Graph Partitioning Tools and Techniques
Authors:   Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), Pune, India., Bokhare* Anuja , Metkewar P S ,   Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), Pune, India.
Published: December 2019

In this paper the authors have used a systematic literature review to provide benchmarking on influencing parameters for graph partitioning tools, which is the principal contribution of the present paper. Tools are compared on the basis of parameters which will impact the performance of tool. The paper elucidates about the tools and techniques along with their features, merits and demerits and also highlighted on influencing parameters which is missing in other reviews. These techniques are analysed by identifying merits and demerits of each technique. This research paper can help the researchers to choose the appropriate tool or technique for their own partitioning problems. Also authors have suggested future research directions and anomalies for improvement in tools and techniques for Graph Partitioning.
Enhancing Talent Management through Competency Mapping in Higher Education Province
Authors:   HOD, UG Department of Commerce, SCS, JAIN (Deemed to be University), Bangalore., Chaudhury* Manne Neelima , A Geetha ,   Assistant Professor, Department of Management Studies, Mother Teresa Women’s University, Kodaikanal
Published: December 2019

Competency mapping is developed as the promising tool to measure the talent enhancement of the faculty members working in higher education at Bangalore. It is considered to be the need of the hour to update with respect to changing environment in the field of technological, cultural, social and economic way.to conduct the study, there are 450 faculty members included as respondents from three different segments through convenience sampling technique. To describe their actual opinion of the respondents towards the competency mapping, there are six variables are used and one moderating variable also employed to enhance the talent and skill level of the faculty members, and the same was collected through administering structured questionnaire. A structural equation model is created with the primary data collected using statistical software AMOS V.21 and explained the relationship between the defined variables under the study. Finally, it is concluded that, the faculty members are agreed upon that competency mapping is a tool for measuring the talent enhancement, and which will be much helpful to survive under the hectic competitive position created by the digital rivalry.
Tourism Destination Competitiveness in UAE: The Role of Strategic Leadership and Strategic Planning Effectiveness
Authors:   Faculty of Business and Accountancy, Lincoln University College (LUC), Selangor, Malaysia, Alseiari* Hamad Ali Salem Mahdi , Khalifa Gamal S. A. ,   Faculty of Tourism and Hotels, Fayoum University,, Bhaumick Amyia ,   Lincoln University College (LUC), Selangor, Malaysia
Published: December 2019

Building competitive organizations requires a conscious management and a strong and effective leadership that recognizes the importance of sustainable development, and how to be applied in business organizations. The aim of the research is to test the association among Strategic leadership (SL), strategic planning effectiveness (SPE) toward tourism organization competitiveness (TOC) in UAE tourism industry. A quantitative research approach has been conducted for the study and survey-based method has followed in the research and distribute questionnaire among employee to collect data. The questionnaire has developed into five point Likert scale and structured questionnaires were distributed among UAE tourism employees. This study finding has showed direct and indirect relationships influences among variables. SL influence positively towards SPE, and TOC. Managerial and theoretical implications are introduced.
Enhancement of Power Quality using Fast Acting Unified Power Quality Conditioner (UPQC)
Authors:   Assistant Professor in Department of Electrical Engineering at Allenhouse Institute of Technology, Kanpur., Mishra* Vipin Kumar , Thakur Dr. Ritula ,   Assistant Professor in Department of Electrical Engineering at NITTTR, Chandigarh.
Published: December 2019

The Unified Power Quality Conditioner (UPQC) is the most flexible solution for all power quality problems. The UPQC is one of the APF family members where shunt and series APF functionalities are integrated together to achieve superior control over several power quality problems simultaneously. Reference signal extraction is the most important part of any control. Feedback control requires the minimum information about the process also the corrective action is taken when the control variable is changed but it has some drawbacks that it does not provide any predictive action for any known disturbance. The proposed control technique uses feed forward plus feedback control with synchronously rotating reference frame based reference signal extraction that not only measures the disturbances (voltage sag here) but also take corrective action to compensate for the same before they actually disturb the system. The applications of feed forward control along with the feedback control are able to compensate for the measured disturbance with the desired speed of response that enables faster restoration of voltage at load end. The suggested method is implemented by simulation in MATLAB/SIMULINK to demonstrate the improvement in response time.
Measuring the Impact of Statistical Techniques for Computation of Weighting Factors in Avalanche Forecasting Model
Authors:   P. G. Department of Computer Science, S.N.D.T. Women’s University, Mumbai, India, Kushe* Neha Ajit , Magar Dr. Ganesh ,   Associate Professor and Dean(ad-hoc) for the Faculty of Science and Technology at SNDT Women's University Mumbai (MS), India.
Published: December 2019

Avalanche forecasting is an important measure required for the safety of the people residing in hilly regions. Snow avalanches are caused due to the changes that occur in the snow and weather conditions. The prominent changes, that cause the variations which further culminate into an avalanche, can be given higher significance in the forecasting model by application of appropriate weights. These weights are decided based on the relation of each weather parameter to snow avalanche occurrence by the forecaster with the help of historical data. A method is proposed in the current work that can help in removing this subjectivity by using correlation coefficients. Present work explores the use of Pearson correlation coefficient, Spearman rank correlation coefficient and Kendall Tau correlation coefficient to obtain the weighting factors for each parameter used for avalanche forecasting. These parameters are further used in the cosine similarity based nearest neighbour model for avalanche forecasting. Bias and Peirce’s Skill Score are performance measures used to evaluate the outcome of the experimental work.
Career Development Conundrum of Educational Institutions – An Introspection of Student Talent Management
Authors:   Assistant Professor, Department of Management Studies, SRMIST, Vadapalani., Sundari* Ms. V. Mohana , Praseeda Dr. Challapalli ,   Professor, Department of Management Studies SRM Institute of Science and Technology (SRMIST), Vadapalani Campus.
Published: December 2019

Talent management is relatively untapped and new concept in the field of human resource management despite of proving many times its importance and competitive advantage for the institution. Talent management student development and educational institutions. The present study aims to identify the connect between education institution’s talent management and its impact on student placement. For this purpose, the study identifies four prominent educational institutions from the district of Chennai, two from the private and two from the public sector level each. An attempt is made to study the talent management initiatives adopted by these educational institutions. The study also aims to identify whether talent management is incorporated into the policy making, academic and evaluation practices and its amalgamation into the structure of the university. The study is primarily based on secondary data collected from the university websites and based on in depth interviews with the related personnel of the educational institutions.
Composite Material Robot Manipulator with Joint Flexibility- Mode and Mode Shape Simulation
Authors:   Department of Mechanical Engineering, B S A Crescent Institute of Science and Technology, Chennai India., S* Ramalingam , Mohideen S Dr. Rasool ,   Professor and Dean, School of Mechanical Science, B S A Crescent Institute of Science and Technology, Chennai India., P S Prof. Sridhar ,   Professor, Department of Marine Engineering, AMET University, Chennai India.
Published: December 2019

Simulation of composite material robot manipulator with joint flexibility is initiated. The lightweight three types of composite material manipulator links with different joint stiffness are considered for vibration mode and mode shape simulation. The model and its motion equations are obtained by using assumed mode method incorporating and joint flexibility. The structural flexibility of a composite material also included in the analyses. The purpose of simulation to predict the behavior of composite material links, which is inevitable for replacement of bulky manipulators. To reach a set point of flexible link manipulator in a work volume with vibration accuracy is analyzed. The thin flexible link for precise positioning will face transient vibration problems. The flexible deflection and residual vibration are affect the positioning of end point. The source of vibration of a manipulator is due to light structural weight when it is rotated by the actuator. The lightweight link will move faster, but the unwanted vibration in the link is raised. To reduce this vibration issue, without compromising the light weight material, the simulation is carried out.
Vulnerability Tracking in Cloud using Encryption
Authors:   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India, Rao* K.Srinivas , Anil CH. ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India, Kumari E.N.Vijaya ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India, Bhavitha Y. ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India
Published: December 2019

Secure hunt over encoded remote information was pivotal in distributed computing to guarantee information protection and ease of use. To square unapproved information use, fine-grained get to control is vital in multi-client framework. Nonetheless, approved client may purposefully uncover the mystery key for monetary advantage. Along these lines, finding and revoking the pernicious client who manhandles mystery key should be illuminated quickly. In this paper, we propose an escrow free detectable property based numerous catchphrases subset look framework with adulterated off shoring unscrambling. The key escrow free instrument could adequately obstruct the Key Generation Center from unscrupulous seeking and decoding all scrambled records of clients. Additionally, the unscrambling procedure just requires ultra-lightweight calculation, which is a fundamental component for vitality constrained gadgets. What's more, efficient client denial is empowered after the malignant client is made sense of. Moreover, the proposed framework can bolster adaptable number of properties as opposed to polynomial limited. Adaptable numerous catchphrase subset look structure or organization is acknowledged and the difference in the question watchwords request does not have any effect to the query output.
Efficient Denoising by Feature Recovery from Residual Noise in Spatial Domain
Authors:   Pursuing Doctor of Philosophy, Engineering, IIT Jammu., Girdher* Amina , Goyal Bhawna ,   Doctor of Philosophy, Engineering, Panjab University., Dogra Ayush ,   CSIR-NPDF, CSIR-CSIO lab, Chandigarh., Dhindsa Anaahat ,   Assistant Professor, University Institute of Engineering and Technology, PU Chandigarh., Budhiraja Sumit ,   Assistant Professor, University Institute of Engineering and Technology, Panjab University, Chandigarh.
Published: December 2019

The growth of image processing techniques has lead to limitless applications of imaging in various fields of medical, remote sensing. However, the unpreventable problem of noise contamination arises during the processing of images. As the noise content in an image rises, it becomes difficult to denoise an image while preserving high-frequency edge features as well as low frequency smooth features. Minimal artefacts and better preservation of geometrical details such as edges and texture reflects efficient image reconstruction. Since many State-of-the-art denoising algorithms have been reported in the literature, and there is always a compromise between noise removal and feature preservation. A novel approach for efficient noise removal along with recovery of fine features is being proposed. The idea behind denoising approach is the use of hybridization of spatial domain filters where base layer image and residual image are extracted and processed separately to mitigate the prevalence of artefacts and preserve image content. The performance of the proposed method is evaluated both quantitatively as well as qualitatively, and it is found that the proposed method could outperform existing denoising techniques.
Applicability of Inspirations from Nature and Wisdom from Vernacular Architecture in Synergy with AI for Design of Sustainable Buildings
Authors:   Architecture Department, School of Planning and Architecture, Bhopal, India., Singh* Ar. Gaurav , Kumar Prof. (Dr.) Manoj ,   Department of Architecture and Planning, National Institute of Technology, Patna, India., Joshi Ar. Bhavesh ,   Amity School of Architecture and Planning, Amity University Rajasthan, Jaipur, India., Kumar Ar. Shailendra ,   Amity School of Architecture and Planning, Amity University Rajasthan, Jaipur, India., Shukla Ar. Anjani Kumar ,   Amity School of Architecture and Planning, Amity University Rajasthan, Jaipur, India.
Published: December 2019

The climate change is there and its adverse effects are being experienced world over. This is not a new phenomenon and has been happening for many ages. Nature provides a large number of examples where species living in different climatic zones have learned to modify themselves with the frequent and cyclic climatic changes and have survived for millions of years. Human beings have also learned, through experience of ages, to live in different climatic conditions by modifying their habitat. The paper proposes to take lessons from nature and the vernacular wisdom in order to use the same in the modern architecture, through the application of the Artificial Intelligence in process of making sustainable modern architecture compatible with environment and capable of adapting to the changes.
Energy Efficient MAC Protocol for Heterogeneous Wireless Sensor Network using Cross-Layer Design
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, 522502, Andhra Pradesh, India, Dhage* Mrs Manisha R. , Vemuru Dr. Srikanth ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, 522502, Andhra Pradesh, India
Published: December 2019

Over the last decade, Wireless Sensor Network (WSN) has gained considerable attention in various real-time applications. Since WSN works with battery operated nodes, utilization and optimization of node energy is one the primary challenge. For effectively handling and controlling the energy consumption problem in WSN, cross-layer optimization is one of the important methods. For a researcher working in the domain of WSN, energy constraint is a huge challenge to deal with. MAC layer is one of the major source of energy consumption so, an innovative energy efficient MAC protocol using a cross-layer approach in the heterogeneous wireless sensor network is proposed. In this protocol, first, packet retransmission by reducing packet loss is addressed by considering buffer space, channel state and remaining energy. Second, the synchronization scheme for a global schedule is implemented by deliberating adaptive listening using the length of the transmission queue. Finally, sleep time issue is worked out to reduce energy consumption. In this scenario, the nodes will be in sleep mode unless it has some packets to send or receive. The proposed protocol is implemented in Network Simulation (NS2). The simulation results show that the heterogeneous wireless network performs better in terms of energy consumption, packet data rate and energy buffer state while implementing through the proposed protocol.
Diversification and its Role in Improving Hotel Industry Businesses Competitiveness
Authors:   Southwest State University, Kursk, Russia, Goryushkina* Natalia , Petrova Lyudmila ,   Altai State University, Barnaul, Barnaul, Russian Federation, Khudyakova Tamara ,   Voronezh State Pedagogical University, Voronezh, Russian Federation, Tchuykova Nadezhda ,   Plekhanov Russian University of Economics, Moscow, Russian Federation, Klimovskikh Nadezda ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation, Voinova Natalia ,   Kursk State University, Kursk, Russian Federation
Published: December 2019

In modern market economy conditions, the hotel industry is an integral part of the tourism industry and the most important catalyst for the socio-economic development of the regions of the Russian Federation. This article investigates the essence of diversification and evaluates its role in the process of improving the competitiveness of hotel industry facilities. Generalizing various terminological approaches, diversification in hospitality industry is considered as the development of hotel industry by expanding the range of services and the possibilities of their implementation, identification of the strengths and their further development, optimization of the use of capital and all types of resources, application of new technologies, market expansion, and creation of hotel chains. Diversification as a means of enhancing the competitive advantages of a hotel is considered. The authors emphasize the fact that every hotel business should work out the most appropriate diversification strategy, based on the stated objectives. Based on the conducted research it is concluded that diversification allows hotels to ensure survival by obtaining a guaranteed level of profit, acquiring a sustainable position in the market of hotel services.
Green Finance: Fostering Sustainable Development in India
Authors:   Assistant Professor , Jaipuria Institute of Management, Jaipur, Jha* Babita , Bakhshi Priti ,   Associate Professor – Banking and Finance at Jaipuria Institute of Management Indore.
Published: December 2019

Green finance plays a pivotal role in achieving inclusive, resilient and cleaner economic growth by creating environmental benefits. It helps in increasing the flow of finance from the public, private and nonprofit sectors to sustainable development priorities. Recognising the significance of green finance, UN Environment has been working in the alignment of the financial system of the countries to channelize the financial flows for attaining 2030 sustainable development goals. To build economic development in a sustainable manner, India also needs a national green finance strategy. It requires green infrastructure funding of about $4.5 trillion by 2040. The contribution made by both public and private sector organisations/banks will play a crucial role in green financing. The present study therefore mainly explores the various green financing initiatives taken by the public and private sector organisations/banks in India. The study showcases the various challenges in the area of green financing in India and also recommends measures to face those challenges. The study is descriptive in nature and is based on secondary data taken from various government reports published by the Government of India and other published reports of public and private sector organisations and banks in India.