bluuebunny/crossref_metadata_2025 huggingface dataset:
Phytoplankton in the Lake Otstoynik (Samara Oblast) Different Ecotopes
Authors:   Krivina E.S.
Published: February 2020

This article presents the results of the study of the species composition and main indicators of the quantitative development of phytoplankton in various ecotopes (pelagic zone, phytal zone) of Lake Otstoynik. It is a small pond belonging to the system of Vasilievsky lakes of Togliatti, Samara Oblast. Initially it served as a receiver of nitrogen fertilizer production waste. In the 90s of XX century, the technological use of this lake was terminated but the rehabilitation works to restore the ecosystem of the reservoir was not carried out. Modern condition of the ecosystem is entirely the result of self-purification and self-healing. Therefore, the materials presented in this article may be of interest to experts on environment, especially those who work in the field of cost-benefit analysis in predicting the development of a "zero" scenario, i.e. without interference through recreational activities in the recovery processes of disturbed aquatic ecosystems. The study deals with the species composition of the plankton algoflora in various ecotopes of the reservoir (open pelagic zone and phytal zone formed by reed), its floral and еcological/geographical analysis. In addition, it considers seasonal succession of phytoplankton in different ecotopes in the period from 2014 to 2016, analyzes quantitative indicators of development (abundance, biomass) of phytoplankton, the role of the major divisions of algae in their formation. We estimated the level of species diversity in different ecotopes of the reservoir with the use of the Shannon-Weaver index. In terms of quantitative development of phytoplankton, the level of water trophies was estimated. Based on the data of sapro/biological analysis, the pollution level has been established and the class of water quality in the investigated water body has been determined.
Visual Social Data Clustersfor Effective Topics Tendnecy with Hybrid Machine Learning Techniques
Authors:   Dept. of CSE, Mahatma Gandhi Institute of Technology, Hyderabad, India., Penmetcha Upendar , Prasad* Dr. K Rajendra ,   Professor and Head, Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India.
Published: February 2020

The machine learning is an emerging field in social classification of data, which enable the learning of social data patterns and classify the data by unsupervised approaches. Majorly, k-means and graph-based machine learning algorithms are used for discovering of social data clusters based on similarity features of user views, opinions. This paper presents the sentimental analysis of social users for the topics using the cluster tendency of derived clusters. The experimental of social data clusters and the cluster tendency are visualized for effective sentiment of topics analysis.
SMC Design for Flexible Link Manipulator in Presence of External Disturbances
Authors:   Electrical Engineering Department, National Institute of Technology Kurukshetra, Haryana, India., Kumar* Naveen , Ohri Jyoti ,   Electrical Engineering Department, National Institute of Technology Kurukshetra, Haryana, India.
Published: February 2020

A flexible link manipulator (FLM) has become the globally research topic over last two decades. It has various advantages such as light weight, high speed with low inertia, large work space and consumes less energy comparatively. However, this flexibility make system more complex. The FLM performance is measured in terms of accuracy of trajectory tracking with minimum oscillations. But in case of FLM, due to flexibility, oscillation and accuracy in trajectory has been increased. To overcome this problem, a robust nonlinear observer based sliding mode controller (SMC) has been used in this paper. Moreover, dynamics modelling of FLM has been developed using Lagrange Method. To enhance the tracking of FLM, integral sliding mode controller (i-SMC) has been designed. The effectiveness of these controller has been tested in presence of disturbances at each state and result obtained are demonstrated
Feature Scaled Element Balancing with Random Boosting for Heart Disease Prediction 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 , Shamsudheen Shermin ,   Lecturer, Department of Computer Science, College of Computer Science & Information Systems, Jazan University, Saudi Arabia., Mathew Rincy Merlin ,   Lecturer, Department of Computer Science, College of Science and Arts, Khamis Mushayt, King Khalid university, Abha, Asir, Saudi Arabia.
Published: February 2020

In the current scenario, the researchers are focusing towards health care project for the prediction of the disease and its type. In addition to the prediction, there exists a need to find the influencing parameter that directly related to the disease prediction. The analysis of the parameters needed to the prediction of the disease still remains a challenging issue. With this view, we focus on predicting the heart disease by applying the dataset with boosting the parameters of the dataset. The heart disease data set extracted from UCI Machine Learning Repository is used for implementation. The anaconda Navigator IDE along with Spyder is used for implementing the Python code. Our contribution is folded is folded in three ways. First, the data preprocessing is done and the attribute relationship is identified by the correlation values. Second, the data set is fitted to random boost regressor and the important features are identified. Third, the dataset is feature scaled reduced and then fitted to random forest classifier, decision tree classifier, Naïve bayes classifier, logistic regression classifier, kernel support vector machine and KNN classifier. Fourth, the dataset is reduced with principal component analysis with five components and then fitted to the above mentioned classifiers. Fifth, the performance of the classifiers is analyzed with the metrics like accuracy, recall, fscore and precision. Experimental results shows that, the Naïve bayes classifier is more effective with the precision, Recall and Fscore of 0.89 without random boost, 0.88 with random boosting and 0.90 with principal component analysis. Experimental results show, the Naïve bayes classifier is more effective with the accuracy of 89% without random boost, 90% with random boosting and 91% with principal component analysis.
Evolutionary Algorithms based AGA and BPSO Computing for Hybrid Renewable Energy System
Authors:   Pursuing Ph.D., Department of Electrical Engineering, Vishweshwaraya Technological University, Belagavi, Karnataka, India., Patil* Sampath Kumar V. , Shivakumar S. B. ,   Head of Department, Department of Electrical Engineering, RYMEC, Bellary, Karnataka, India.
Published: February 2020

Solar and wind Renewable system have more advantages compared to Conventional energy sources and it is environment friendly and also from economic point of view...For overcoming the problems of Conventional Energy sources, this paper proposed an hybrid renewable energy system using Different evolutionary algorithm approaches. This proposed method hybrids the three systems namely, solar PV, wind and Fuel Cell which have the biggest potential to provide power. The battery and loads are also integrated with this hybrid system. Then, the charging and discharging of this system is controlled by an Optimized PID controller for balancing the generated power and load power. Here, the PID controller works based on the rules to provide an efficient system. Also, the tuning parameters of the PID controller are enhanced by Adaptive Genetic Algorithm and Particle Swarm Optimization. Finally, the performance of the Combined Solar and wind system is tunedwith the Evolutionary algorithm based PID controller and is compared with the existing hybrid renewable systems based on Generated Power, Load side Power, Speed Controller and Torque.
Relationship between Intellegence Quotient (IQ), Emotional Quotient (EQ), Spiritual Quotient (SQ) and Student Satisfaction
Authors:   Associate Professor, Department, Management KL University, Vijayawada, Andhra Pradesh, India., Tiwary* Dolly , Rao D Srinivas ,   Professor & In-charge for Centre for Data Analytics, K L University, Vijayawada, Andhra Pradesh, India.
Published: February 2020

Intelligence plays a very vital role in every one’s life. The main intelligence that have an impact on the student’s satisfaction are Teachers Intelligence Quotient (IQ), Emotional Quotient (EQ) and Spiritual Quotient (SQ).A teacher can be successful in his role only when these are present. Just being intelligent may not result in student’s satisfaction. This is possible only when the faculty is empathetic, caring, understanding is himself satisfied with his job. This implies that the faculty in colleges should have high EQ and SQ along with IQ Every parent dreams of his/her child’s success. Success of a child depends very much on the schools and colleges he goes, His satisfaction depends more on the emotional and spiritual quotient of the teacher. To be an effective teacher, one should have high emotional and spiritual quotient along with intelligent quotient. Management should focus on enhancing these two quotients. The researcher intends to study the relationship of IQ, EQ and SQ on student’s satisfaction with reference to faculty and students of colleges in Hyderabad. The researcher intends to study the impact of IQ, EQ and SQ on student’s satisfaction with reference to faculty and students of colleges in Hyderabad.
Critical Succsess Factors E-Participation for E-Government
Authors:   Doctor of Computer Science Department, Bina Nusantara University, Jakarta 11480, Indonesia. Universitas Buana Perjuangan Karawang, Karawang 41361,Indonesia, Shofia* Shofa , Meyliana*  ,   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta 11480, Indonesia, Hidayanto Ahmad Nizar ,   Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia, Prabowo Harjanto ,   Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia
Published: February 2020

E-participation is an interactive information technology service from citizens towards the government. The research problem in this paper is what critical factors the success of E-participation at this time. They are many literature review papers on the Critical success factor (CSF) E-participation on E-government. This paper provides an explanation of E-participation, e-government to the variable used to determine the success of E-participation in electronic governance. The purpose of this paper is to select and synthesize several papers relating to e-participation in E-government and to look for the critical success factor. This paper aims to synthesize a critical success factor of e-participation in e-government electronically in terms of data transparency and an interactive response from the government to support E-participation services. The methodology used in this paper is to select a systematic literature in terms of the approach of the paper published 2008-2019. 22 papers have been found that are relevant to E-participation in e-government. The results of this research paper are the critical success factors of E-participation in E-government.
Experimental Examinations on Purification of Water by Rice Husk and Its Ash
Authors:   Department of Civil Engineering, Amity School of Engineering & Technology, Amity University, Noida, India., Singh* Priyanka , Jose Abin ,   Department of Civil Engineering, Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, India
Published: February 2020

In this research, an effort has been made to provide solutions to water pollution with the utilisation of Rice Husk (RH) & Rice Husk Ash (RHA). It has been accomplished by making water purification filters with RH & RHA. The filters blocks consisting RH& RH were prepared by mixing up of different percentage of RH, RHA, fine aggregate and cement. The ingredients of filter blocks were mixed up in required composition. Casted filter were set for drying followed by the process of curing. Water quality analysis of Pond water, River water & Kitchen waste water was analysed. Various parameters of water passed through different filter blocks were analysed, hence determining the efficiency of the treatment. The main intention of this research work was to reduce the hardness, chloride concentration, presence of turbidity, sulphates and iron content from water samples collected from various locations by using RH based filters and RHA based filters. To determine the reusability of column filter, different sets of experiments were performed. Through these experimental results obtained, it was noticed that the efficiency of column filter was near about 5% after 5 cycles of process. Thus, this study helps to know how RHA can be effectively utilized as filters and about the various parameters that can be removed from the waste water by using RHA based filters.
Live Virtual Machine migration: A Performance Test Xen and KVM
Authors:   School of Computing, Graphic Era Hill University, Dehradun, India, Kapil* Divya , Rao Tabish ,   School of Computing, Graphic Era Hill University, Dehradun, India
Published: February 2020

Virtualization technology has many important features such as live virtual machine migration. In live virtual machine migration, a power on virtual machine is moved from one physical host to another. It has various benefits such as server consolidation, proactive failure, load balancing, energy saving and resource scheduling. Live virtual machine migration is very useful tool in cluster environment, administrators of data centers and in cloud environment. Live virtual machine migration is supported by hypervisors such as Xen, KVM, VMware etc. In this paper we discuss live virtual machine migration Pre-Copy approach which is a default approach in many hypervisors. We compare the performance of virtual machines which are made using Xen and KVM. We also compare performance when virtual machines are migrate using Xen and KVM in cloudreport simulator. In result we find that KVM performs better than Xen.
Ultrasonic Pulse Velocity and Morphology of High Strength Concrete with PVC Waste Aggregate
Authors:   Assistant Lecturer, Civil Engg. Dept., College of Engineering, University of Sulaimani, Sulaimani, Kurdistan Region, Iraq., Mohammad* Tavga S. , Mohammed* Azad A. ,   Assistant Professor, Civil Engg. Dept., College of Engineering, University of Sulaimani, Sulaimani, Kurdistan Region, Iraq.
Published: February 2020

In this paper, morphology and ultrasonic pulse velocity (UPV) of high strength concrete with a relatively high ratio of condensed silica fume and PVC waste aggregate as sand replacement have been examined. The plastic aggregate was obtained from shredding PVC waste sheets used for secondary roofing and covering walls. Variables tested were PVC plastic grading and ratio of sand replacement with such plastic, in addition to curing time of concrete. Results of scanning electron microscopy showed that there is a good bond between PVC aggregate particles and hardened cement paste. There was a relatively small reduction of UPV value of concrete, increased with increasing PVC aggregate content, reached 14.3% at 40% PVC content. The UPV lost is slightly increased with increasing concrete age from 7 days to 56 days. Results also showed that the effect of PVC aggregate grading on the residual UPV is not important. Based on the measured residual properties of high strength with silica fume and PVC granules, there is a high degree of silica fume hydration and the existence of PVC particles has no effect on such hydration.
Torsional Strength Determination of Ferrocement U-Wraps RC Beams with using Different Methods
Authors:   Department of Civil Engineering, Government College of Engineering Kalahandi, Bhawanipatna, Odisha, India., Behera* Gopal Charan , Bagal Dilip Kumar ,   Department of Mechanical Engineering, Government College of Engineering Kalahandi, Bhawanipatna, Odisha, India.
Published: February 2020

Retrofitting of distressed structures is a major concern worldwide for researchers particularly against torsion. Determination of torsional strength of retrofitted RC beams “U” wraps is again a difficult task. The experimental program is taken up with 30 rectangular beams tested under pure torsion. Torque of such a “U” wrapped RC beam with other dimension and material cannot be derived from these experimental results. To compute the same; analytical method based on softened truss model of Hsu is employed with modification on material properties. Both experimental and analytical methods are unable to provide a single equation to quantify the torsional strength. To overcome the same, soft computing method MARS and WASPAS method is employed in the present investigation. The methods are easy and time saving.
A Social Web-Based Personalized Learning Environment: Proposing a PLE
Authors:   Information Science and Technology, Northeast Normal University, Changchun, China., Ahmadaliev* Doniyorbek Qambaralievich , Gulbahor Temirova ,   IT, Andijan State University, Andijan, Uzbekistan., Nodira Yusupova ,   IT, Andijan State University, Andijan, Uzbekistan., Abduvalievich Medatov Asilbek ,   IT, Andijan State University, Andijan, Uzbekistan.
Published: February 2020

The nature of e-learning has been advanced in the manner of how it structures with the advance of Web 2.0 and 3.0. Contemporary educational hypermedia is slowly but surely providing personalised user experience. Research in technology-enhanced learning is now more student oriented, in other words it is as a personalised learning environment. But, according to the progress of projects which has been published, it has been said that personal learning environment is left as a theory and the field has been faded. In this paper we have proposed our model by providing learners with three learning object representation options. In which users will have options to get either up to date content or mostly advanced content first or according to their learning preferences. Domain and knowledge modeling features are also detailed. Finally, empirical results for the affect values of the model were presented.
Sketch Based Image Retrieval in Large Databases using Edge Features
Authors:   department of Computer Science Akkamahadevi Women's University, Vijayapura 586108, Karnataka, India., Rajput* G.G , Prashantha  ,   department of Computer Science Rani channamma University Belagavi 591156, Karnataka India.
Published: February 2020

Sketch-based image retrieval (SBIR) presents better flexibility in expressing the query as sketch for retrieval of images as opposed to text based retrieval. Using a sketch, it is easier to express the orientation and pose of the objects for image retrieval from the database. We propose an efficient approach for SBIR from large databases based on hand awn rough sketch. In the proposed method, images are synthesized to yield a binary sketch that is processed in similar way to user drawn sketch. Edge features are extracted by overlaying the sketch with non-overlapping and overlapping grids, respectively. The most similar images to the query are then retrieved from the database using weighted based similarity approach. Experiments are performed on flickr15k dataset yielding excellent retrieval performance in comparison to the methods available in the literature.
A Low Voltage High Speed Segmented Current Steering DAC for Neural Stimulation Application
Authors:   Research Scholar, Institute of Technology, Nirma University, Ahmedabad, India., Patel* Prof. Jayeshkumar J. , Naik Dr. Amisha P. ,   Associate Professor, Institute of Technology, Nirma University, Ahmedabad, India.
Published: February 2020

A multi-phasic neural stimulator using current steering Digital to Analog Converter with low resolution is in great demand to ameliorate symptoms of Parkinson's disease and disorders of consciousness. This article presents 5-bit segmented DAC designed for such applications. In order to simulate the design, cadence virtuoso tool with 180 nm MOS technology is used. The results obtained after simulation indicate that the proposed DAC offers +0.34 LSB INL and +0.36 LSB value for DNL. For the input of 200 MSPS, the power dissipation is about 22 mW when working with 1.8 V of supply voltage.
Image Edge Detection Based on Swarm Optimization Technique
Authors:   Associate Professor, Department of ECE, NNRESGI, JNTUH, Hyderabad, Telangana, India., Reddy* B. Chandrashaker , Reddy P. S. Sreenivasa ,   Associate Professor, Department of ECE, NNRESGI, JNTUH, Hyderabad, Telangana, India., Thivya K.S. ,   Associate Professor, Department of ECE, Dr. MGR. Educational and Research Institute, Chennai, India., Baba M.A.Khadar ,   Professor, Department of ECE, NNRESGI, JNTUH, Hyderabad, Telangana, India., Ramesh K. ,   Professor, Department of ECE, Farah Institute of Technology, JNTUH, Hyderabad, Telangana, India.
Published: February 2020

Detecting of the edges in the image is used for highlighting sharp values of intensities and also which is used to extracted the relevant data. In the traditional methods of detection the results will be in broken edges and thereby there is loss of contours. The Ant Colony Optimization (AnCO) is originated to have faith in the detection problems wherever the aim is to extract the sting data which is present in the input picture, which is necessary to grab the information. Most procedures regarding Ant Colony Optimization is the inventions of fine explore regeneration over across the secretion upgraded by the army of ants. AnCO is galvanized from the actions of hunting the food displayed by hymenopteran community to seek out estimate results to the robust problems. An Ant Colony Optimization algorithmic rule is that the combination of previous information relating to the structure of an answer with the data relating to the arrangement of antecedent to acquire smart results. This methods uses 5 steps as initialization, construction, updation, decision and conceptualization method. Here the proposed methodology is carried with test images such as lena and cameraman. This method in finding the edges from a binary image by investigation results shows the successful outcomes. This proposed work can be applied in biomedical image processing in finding out the contour of tumor tissues.
A modified Particle Swarm Optimization Algorithm to solve Time Minimization Transportation Problem
Authors:   Research Scholar, IKG Punjab Technical University, Jalandhar, Punjab, India., Singh* Gurwinder , Singh Amarinder ,   Assistant Professor, Department of Applied Sciences, BBSB Engineering College, Fatehgarh Sahib, Punjab, India.
Published: February 2020

When the supply of items need urgent/earliest delivery to the destinations, the Time Minimization Transportation Problems (TMTPs) are indispensable. Traditionally these problems have been solved using the exact techniques, however, the (meta) heuristic techniques have provided a great breakthrough in search space exploration. Particle Swarm Optimization is one such meta-heuristic technique that has been applied on a wide variety of continuous optimization problems. For discrete problems, either the mathematical model of problem or the solution procedure has been changed. In this paper, the PSO has been modified to incorporate the discrete nature of variables and the non-linearity of the objective function. The proposed PSO is tested on the problems available in the literature and the optimal solutions are obtained efficiently. The exhaustive search capability of proposed PSO is established by obtaining alternate optimal solutions and the combinations of the allocated cells that are beyond (m  n  1) in number. This proposed solution technique, therefore, provides an effective alternate to the analytical techniques for decision making in the logistic systems.
Assessment on Extraction and Matching of Finger Vein and Iris Pattern based Authentication System
Authors:   Research Scholar, Department of Computer Science, Vinayaka Mission’s Research Foundation (Deemed to be University), VMKV Arts and Science College, Salem, Tamilnadu, India., Appasamy* K. , Shanmugasundaram Prof. Dr. R. S. ,   Deputy Director cum Nodal Officer, Vinayaka Mission’s Research Foundation (Deemed to be University), Salem, Tamilnadu, India.
Published: February 2020

Biometrics uses human behavioral features for personal identification and has become most popular and promising alternatives than the traditional methods. The vein pattern is hidden inside the body and hence the problem of forgery in vein is consequently reduced when compared to fingerprint. Iris is one of the most reliable biometric traits due to its uniqueness and stability. The uniqueness of iris texture comes from the random and complex structures such as furrows, ridges, crypts, rings, corona, and freckles etc. which are formed during gestation. Often iris is combined with other biometric features for robust biometric systems. The finger vein pattern acquired under infrared light is used to design an accurate personal authentication system. The personal identification method based on vein extract the patterns from an unclear original image and line tracking operations with randomly varied start points are repeatedly carried out. This paper reviews various techniques introduced in finger vein and iris recognition system. This paper mainly focuses in introduction about finger vein and iris pattern, survey of existing research works done in the process under finger vein combined with iris recognition such as image acquisition, vein and iris enhancement, vein and iris pattern extraction and vein and iris pattern matching. Finally the challenges and future work are discussed in order to improve the left finger vein pattern with right iris and right finger vein pattern with left iris recognition.
E-commerce Model Adoption by Small-Medium Enterprises for Business Development
Authors:   Information System Departement, School of Information System, Bina Nusantara University, Jakarta 11480 Indonesia, Maryani*  , Meyliana*  ,   Information System Departement, School of Information System, Bina Nusantara University, Jakarta 11480 Indonesia, Hidayanto Ahmad Nizar ,   Faculty of Computer Science, Universita Indonesia, Depok 16424, Indonesia., Prabowo Harjanto ,   Management Departement BNUS Business School – Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia.
Published: February 2020

Electronic commerce (e’commerce) related to the internet for buying, selling, transporting, or exchanging info, products, or services. There are many advantages of e-commerce, including operational Benefits like the one global reach, cost reduction, promoting Issue Prevention, optimizing the supply chain, and always opening up business. That nation has SMES, and SMES is the largest foreign exchange earners in the country to be able to compete, with SMES being able to expand their transaction business via the Internet. The aim is to determine critical factors in the adoption of e-commerce for SMEs. That first analysis presented a comprehensive review of the literature onto the context for e-commerce research These methodology is divided into several parts: determination of research sources, identification of keyword structures for process search, implementation of criteria for inclusion and exclusion, extraction of data, and review of findings to address scientific questions. From the result of the literature research, there are several main factors for SMEs to adopt e-commerce such as Technological Factor that consists of : interception, Relative Advantage, Compability, IT infrastructure, Security. The Organizational factor consists of : Involvement & consistency, Top Management support, Financial Resources, Human Resources. External Factor consists of: competition aong organizations, and government support. And the individual factors are behavior to counsumer, excellent service, education, & computer Skill.
High Speed PS0 Micro-Pipelined Adder
Authors:   Assistant Professor, University School of Information Communication and Technology,GGSIPU, NewDelhi, India, Jhamb* Mansi , Pudi* Hinduja ,   University School of Information Communication and Technology, GGSIPU, NewDelhi, India, Vats Sukant ,   University School of Information Communication and Technology, GGSIPU, NewDelhi, India
Published: February 2020

For continuous monitoring of individual wellbeing, wearable devices are indispensable. The limitations of cost, utilization of power, delay and restricted device measurements are the basic issues which should be dealt cautiously while designing these battery powered devices. The wearables use high-end processors dedicated for complicated signal processing. Data path plays a key role in every digital signal processor. Adder is the most widely used component in wearable technology. This work proposes a novel architecture for PS0 pipelined adder. The proposed adder is implemented in 65nm TSMC CMOS and its performance has been compared with state-of-art adders. The SPICE level simulations are performed on HSPICE using 65nm TSMC CMOS @ 1.2 V. All the designs have been simulated with extracted wire and layout parasitics. The proposed adder ensures the lowest propagation delay which is 79.33% less when compared to RCA and has a power dissipation of 0.225 mw which is 25.4 % less as compared to CLA. Besides, the proposed adder offers a benefit of having lower transistor count which is 49.6% less as compared to RCA.
A Speculative Model to Explore Data Hub and Quality of Service in IAAS Cloud Computing Systems
Authors:   Assistant Professor, Department of MCA, AITS (Autonomous), New Boyanapalli, Rajampet, Kadapa (Dt.), A.P , INDIA, Prasad* N. Narasimha , Swathi* P. ,   Assistant Professor, Department of MCA, AITS (Autonomous), New Boyanapalli, Rajampet, Kadapa (Dt.), A.P , INDIA, Kavitha P. ,   Assistant Professor, Department of MCA, AITS (Autonomous), New Boyanapalli, Rajampet, Kadapa (Dt.), A.P , INDIA
Published: February 2020

Cloud server ranch the specialists is a key issue in context on the one of a kind and heterogeneous systems that can be applied, associating from the VM circumstance to the union with various fogs. Execution appraisal of dissipated figuring establishments is required to predict and assess the cash sparing favored circumstance of a framework portfolio and the relating thought of affiliation experienced by customers. The experience of the customers accepts a crucial activity to envision the structure utilized. Such assessments are not practical by reenactment or on the field experimentation, by ethicalness of the fantastic number of parameters that must be investigated. In this work, a logical model is presented, considering Stochastic Prize Nets (SRNs), that is both versatile to show structures made out of thousands of benefits and versatile to address different methodologies and cloud-express systems. A couple of display estimations are portrayed and evaluated to investigate the lead of a cloud server ranch: use, openness, holding up time, and responsiveness. These estimated attributes are concerned to be major factors for assessing the performance analysis of the system. An adaptability examination is also given to consider load impacts. Finally, a usual philosophy is shown that, starting from the possibility of system limit, can help structure managers to fortunately set the server ranch parameters under different working conditions. These conditions are said to be feasible for the functioning of the system without any hassles.
Metallic Scrap Collection Robot with Efficient Trajectory
Authors:   Department of Electrical and Computer Engineering, Dhofar University, Salalah 211, Sultanate of Oman., Baig* Imran , Valsalan Prajoona ,   Department of Electrical and Computer Engineering, Dhofar University, Salalah 211, Sultanate of Oman., Hasan Najam Ul ,   Department of Electrical and Computer Engineering, Dhofar University, Salalah 211, Sultanate of Oman.
Published: February 2020

Metal waste management is one of the major issue in today's and future industries. Efficient metal waste management in industries is very important in order to ensure, a safe environment, make room for future operations and reuse of this material. At present, in many industries, these metal scraps are still being collected by manpower, which is a cumbersome task. Therefore, it needs to be automated, so in this work we have opted a robotic solution for the metal scrap collection. We have developed an electromagnetic robot that can recognize and collect various metal scraps spread across an area. The process of recognition is carried out with the help of the image processing techniques on the images obtained through the camera installed in the area. The robot collects the scrap using the electromagnetic arm by visiting it. Our aim in this work is to control the robot's trajectory so that all the scraps identified can be collected within a minimum time by minimizing the distance travelled by the robot. We used two algorithms, Prim's and Kruskal's, to design this trajectory. In order to show the significance of both algorithms to our problem, we performed Matlab simulations and showed their comparison in terms of the total distance traveled by the robot to collect all the metal scraps.
Learning Analytics Dashboard Model to Supervise a Distance Learning
Authors:   Modeling, Analysis and Control Systems laboratory, Moulay Ismail University of Meknes, ,Morocco, Lahbi* Zakaria , Sabbane Mohamed ,   Modeling, Analysis and Control Systems laboratory, Moulay Ismail University of Meknes, ,Morocco.
Published: February 2020

Providing performance measures of training devices becomes a necessity for teachers. Without having them, teachers will have no clue in measuring the goals achieved. However, the analysis techniques available today allow us to go further and to consider new applications to serve the quality and effectiveness of training devices. This article presents the design and the implementation of a system for the supervision of an online course and the different roles involved in a computer environment for human learning. As a result, a description of the needs in terms of dashboards during data observation phases generated during a learning situation will be provided. Our objective is to define all the stakeholders that a dashboard can contain, the different user profiles, their activities, their viewing preferences and their objectives. Our main goal is the design and implementation of a dashboard model that meets all the requirements of different stakeholders of consultation or adaptation rating and customization. This model will give results in the form of different visualization style that will discuss in this article
An Exploration of Force Exerted on Moving Robot in Arcuated Path on Different Surface using Standard SLAM Algorithm
Authors:   Research Scholar, Department of Computer Science & Engineering Poornima University Jaipur, Mittal* Rohit , Mishra Nidhi ,   Associate Professor, Department of Computer Science & Engineering, Presidency University, Bangalore, Pathak Vibhakar ,   Professor, Department of Computer Science & Engineering, Arya college of Engineering & I.T., Jaipur, Gandhi Geeta Chhabra ,   Associate Professor, Poornima University, Jaipur
Published: February 2020

The paper investigate the pressure applied during navigation of robot on arcuated prefab and smooth/ marble path using non linear EKF (map based). The analysis part uses experiments on 6DoF robot using (vMicro) as meta software on.Net framework and XCTU multiplatform, which was not considered in Compressed EKF SLAM. In this paper, analysis on pressure exerted on smooth surface and prefab surfaces in Z direction which gives conclusive results for determination of surfaces.
Capability of Wireshark as Intrusion Detection System
Authors:   Department of CSE , Ambedkar Institute of Advanced Communication Technologies & Research, Delhi (India), Singh* Sakshi , Kumar Dr. Suresh ,   Department of CSE, Ambedkar Institute of Advanced Communication Technologies & Research, Delhi (India)
Published: February 2020

The rise of networks has increased very fastly in this modern world. Our day to- day life mostly depends on the internet. It can be in the form of education, banking, research, business, journalism and many more. This dependency also leads to various types of intrusions. To identify intrusions on the grid, the system must have a detection engine that can detect intrusions automatically without any human intervention. Wireshark is an important tool for the analysis of network packets. But Wireshark lacks the feature of intrusion detection. In this paper, we will show that Wireshark can be considered not only as troubleshooting tool, network analyzer, protocol analyzer, packet sniffer but also a network intrusion detection tool because if the user has appropriate knowledge about attacks and data packets, then he could easily identify an attack by observing a specific data packet patterns. In this paper, an attack pattern dictionary will be created using which captured live data packets will be manually mapped in order to detect intrusions. We will also identify various attacks captured by Wireshark using this process.
An Improved Hybrid Model for Early Prediction of Autism
Authors:   Associate Professor, Department of Computer Applications, Bishop Heber College, Trichy, Mythili* M.S.
Published: February 2020

Autism is described by extreme, unavoidable intellectual disabilities which are adverse on perspectives related with social collaboration, correspondence, creative mind and conduct. Treating Autism has secured an exceptional spot, as a few heuristic and measurable models are proposed by scientists working around there. Henceforth kids influenced with such issue should be upheld with recognition of an early, well-planned and singular scholarly endeavours created in adjusted settings bringing about early location and accurately diagnose the issues of Autism. Requirements of Data mining and soft computational methodologies are thought as a characteristic qualified for finding confounded examples. The paper defines a definite investigation and proposes the hybrid improved methodologies of Bee Hive Optimization with Support Vector Machine for the requirement of versatile and early prediction of Autism among developing youngsters with more Accuracy and with the less error and time.
Digitalization of Payment Systems in Ukraine
Authors:   Professor of the Department of Management and Business Administration at Vasyl Stefanyk Precarpathian National University, Ukraine., Yakubiv* Valentyna , Sodoma Ruslana ,   Associate Professor of the Department of Finance, Banking and Insurance at Lviv National Agrarian University, Ukraine., Shmatkovska Tetiana ,   Associate Professor of the Department of Accounting and Audit at Lesya Ukrainka Eastern European National University, Ukraine., Dziamulych Mykola ,   Associate Professor, Department of Economics, Lutsk National Technical University, Ukraine., Brodska Iryna ,   Associate Professor of the Department of Accounting and Audit at Lutsk National Technical University, Ukraine.
Published: February 2020

The world is changing due to technological innovations that are reflected in both the customers’ needs and the payment systems themselves. Payment systems that operate on the territory of Ukraine have certain properties, which the potential client draws attention to when choosing one of them. Let's conduct complex research and we will propose solutions of a relevant scientific task which consists of the development of theoretical and methodological foundations, methodological approaches and practical recommendations on the implementation and improvement of the functioning of payment systems in Ukraine in the light of world experience. Modern payment systems are one of most the important and fundamental parts of Ukraine`s financial infrastructure. The article offers a theoretical understanding of the payment system and considers the peculiarities of the payment systems functioning in Ukraine at the present stage. The payment systems market and its structure are presented in details. Payments and transfers number are highlighted. The statistics on illegal payment card transactions are reviewed. The payment systems of the leading European countries are characterized. The prospects of the National Bank of Ukraine with the largest European payment systems are described. On a basis expansion of the structure of criteria of the importance of payment service providers and accounting of the presence of crucial participants in payment service providers is developed a methodical approach to the assessment of the priority of payment service providers. The practical value of the received results consists in their use for the development of normative legal acts of the National Bank of Ukraine, the safety of payment service provider of Ukraine regulating an order. Measures to increase payment system`s security level in Ukraine are outlined. For the banking system of Ukraine, European experience in the field of payment systems is very important, as today the concept of borders is quite conventional when it comes to payment services. In this regard, determining the priority of payment systems that operate in Ukraine is of particular importance, which determines the relevance of the chosen topic.
Efficient Design of Micro Strip Patch Antenna for the Ultra Wideband (UWB) Applications
Authors:   department of Electronics & Communication, Technocrats Institute of Technology- Advance, Bhopal, India., Soni Ram , Gupta* Ramji ,   department of Electronics & Communication, Parul Institute of Engineering & Technology, Parul University, Vadodara, Gujarat, India., Sen Devkant ,   department of Electronics & Communication, Technocrats Institute of Technology- Advance, Bhopal, India.
Published: February 2020

In this research paper a design of Microstip patch antenna for the ultra-wide band (UWB) applications is presented. Ultra wide band antennas has very wide band of operation which accommodates many communication frequencies as set by the federal commission of communication. The UWB antennas is based on the micro strip patch antenna concept and the design of the antenna is based on the stack antenna or multi-layer antenna. Stacking is used in designing for increasing the bandwidth of the antenna so stacking concept is good for the designing of the UWB antenna. The feeding used to feed the antenna is micro strip line feed. Micro strip line feeding technique is one of very popular feeding technique to feed the antenna because its fabrication is very simple. The proposed design is simulated in the CADFEKO software which is very useful for the design and analysis of a wide range of electromagnetic problem. It has many applications to simulate 3D electromagnetic circuit included antenna design, micro strip antenna and circuits. The simulation results shows the antenna bandwidth of 13.9 GHz from 2.6 to 16.5 GHz. So we can clearly say that the antenna is ultra-wide band in nature.
Product Innovations in the Bulgarian Hospitality: Linking Theory and Practice
Authors:   Management and marketing Department, South-West University “Neofit Rilski”, Blagoevgrad, Bulgaria., Kyurova Vyara , Kiryakova-Dineva* Teodora ,   Tourism Department, South-West University “Neofit Rilski”, Blagoevgrad, Bulgaria.
Published: February 2020

The main objective of this paper is to identify trends in product innovation from the hotel business in Bulgaria and to assess the influence of the professional experience on the ability for creating innovations. Based of qualitative and quantitative analysis, some main problems related to the hotel business are presented. The findings include identification of the role of product innovation for the development of the hotel business. The study outlines issues related to their implementation, namely low share of innovative enterprises; low share of developed and implemented new or modified products in the last three years; lack of thorough market research in the overall product development, etc. The study can be used as a model for analysis of product innovation in hotel business.
Manchester Signaling Scheme for Ground to Satellite DWDM Communication
Authors:   Department of ECE, Swami Vivekanand Institute of Engineering and Technology, Banur, India., Allahie* Rouf Ahmad , Thakur Tanika ,   Department of ECE, Swami Vivekanand Institute of Engineering and Technology, Banur, India.
Published: February 2020

For the modulation of various data streams, Wavelength division multiplexing is utilized. Further, Dense Wavelength Division multiplexing is the type of WDM which is capable of spacing the wavelengths more closely due to its greater capacity. This technology is widely used in fiber optics as it utilizes the bandwidth in an appropriate manner. Various researchers have been carried out to make it worth using. Recently, in research, the author had used DWDM in clear weather conditions and turbulence generated in a channel. In this work, the author had utilized the RZ modulation technique which has some drawbacks. Due to this, the performance of the entire model is affected. Thus in this paper, a novel approach is presented to overcome the problems of the existing system. In the novel system, RZ encoding is replaced by Manchester encoding. Manchester encoding has several advantages over RZ encoding. Further, the simulation of the model is performed under the opti-system. Here, the Q-factor of both (proposed and with RZ encoding) models are determined in terms of a single channel, 4 channels, and 16 channels. The results showed the effectiveness of the proposed system as it increases the quality of the signal transmitted from one source to another.
Conviviality as a Spatial Planning Goal for Public Open Spaces
Authors:   Architecture and Planning, Maulana Azad National Institute of Technology (MANIT), Bhopal (M.P), India, Thombre* Leena , Kapshe Dr.Charumitra ,   Architecture and Planning, Maulana Azad National Institute of Technology (MANIT), Bhopal (M.P), India
Published: February 2020

Conviviality is a popular concept in urban design while referring to the good qualities of public spaces. This concept is the need for current times when social life in physical public spaces is declining away largely to forces like social media and the virtual world. The human tendency to feel satisfied and happy exists in existence with others. The social media has taken away the role that established Greek agora as the first centre of public interaction which initiated the concepts of modern democracy. Where popular public spaces have big roles to perform, the small public spaces in the neighbourhood and markets perform an important role to stage the everyday local nuisance in people's life. Even If public space is satisfactory enough to take away the loneliness and boredom of everyday course of modern living a lot can be achieved. Conviviality is one such factor which helps to elevate the satisfaction of spending time with others. This paper is an attempt to understand conviviality and relate it to public open spaces from the physical planning point of view.