bluuebunny/crossref_metadata_2025 huggingface dataset:
PERSEPSI SISWA TENTANG MANIFESTASI TUGAS-TUGAS PERKEMBANGAN REMAJA SISWA KELAS XI SMA.NEGERI 11 SAMARINDA
Authors: HANDAYANI MERLY
Published: January 2020

AbstractYouth development tasks are tasks that arise at or around a certain period of individual life, but in reality not all students are familiar with developing youth development tasks. The formulation of the problem in this study is "What are the students' perceptions about the manifestation of the youth development tasks of class XI in SMA. Negeri 11 Samarinda 2014/2015 Academic Year". While the purpose of this study was to study students' perceptions about the manifestation of the task of developing class XI youth in SMA Negeri Negeri 11 Samarinda in the Year of Learning. This type of research is descriptive qualitative where the focus of research is students' perceptions about the manifestation of youth development tasks. This research was carried out in high school. Negeri 11 Samarinda with research participation was a class XI student at SMA Negeri 11 Samarinda in the 2014/2015 academic year that encouraged 144 students to become writers taking a sample of 75% of the total population, namely 108 students. The data collection method used was a questionnaire as the main method and documentation as a complementary method. While the data analysis technique was the interval and percentage formula. From the results of data management in 108 class XI students of SMA Negeri 11 Samarinda, 108 respondents, then 47 students of respondents had a good perception, with a percentage of 43.51%, 19 students had a very good perception, with a percentage of 17.59%, 36 students have a pretty good perception, however there are still students who have a bad perception that can be seen from the data above about 6 students or 5.55%. The results of the study showed that students' perceptions about the manifestation of youth development tasks, GOOD, because seen from 108 students as many as 47 students with a percentage of 43.51% had a GOOD perception about the manifestation of youth development tasks in SMA Negeri XI Samarinda.Keywords: Perception, Manifestation, Youth Branching
IMPLEMENTASI NILAI-NILAI DAKWAH SANTRI MELALUI PERIBAHASA ARAB MAHFUDZAT
Authors: Awaluddin Andi Fajar
Published: January 2020

AbstractDa'wah activities in a plurality society not only have a strong basic principles of faith but can also realize basic principles of moral and social ethics. Their existence must receive guidance so that the community has the character of loving kindness, opposing evil, and not recognizing violence in accordance with Islamic teachings. Under these conditions, a strong foundation of faith will be able to realize a life  that is in harmony with everyday life such as a sense of social justice, security, mutual assistance to help, respect, and others. The values of da'wah mentioned above must be implemented in everyday life in a plurality society with reference to the principles, namely : (1) Islamic civilization stand son the basis of monotheism,(2) civilization that is humane, transcendental, and has international insight, (3) always hold moral principles. Keywords :  The values of da’wah, Proverb, Mahfudzat
Szkic anarchizmu aktualności. O pojęciu anarchistyczności
Authors: Słowiński Sebastian
Published: January 2020

Szkic anarchizmu aktualności. O pojęciu anarchistyczności
Banalny antykomunizm i podział postkomunistyczny. Mechanizmy konstruowania pamięci zbiorowej w polskim dyskursie politycznym
Authors: Lipiński Artur
Published: January 2020

Wielu badaczy polskiej sceny politycznej podziela założenie, że podział postkomunistyczny przestał istnieć po wyborach parlamentarnych w 2005 r., kiedy to scenę partyjną zdominowały dwie partie prawicowe. Jak dowodzi niniejszy tekst, teza ta może być przedwczesna. Treść podziału nadal odgrywa ważną rolę jako dyskursywny zasób w procesie kształtowania tożsamości partyjnej i mechanizmach (de)legitymizacji. Dobrym tego wskaźnikiem jest dyskurs antykomunistyczny, trwale obecny w polskiej sferze publicznej i szczególnie widoczny w momentach silnych napięć politycznych. Inspirując się konceptem banalnego nacjonalizmu M. Billiga proponuję określać go mianem banalnego antykomunizmu, ze względu na samowyjaśniający, nie poddawany refleksji, silnie zakorzeniony w mowie publicznej, charakter. Innym jeszcze celem niniejszego artykułu jest analiza wariantów dyskursywnego konstruowania przeszłości przez PiS oraz PO. Dane empiryczne oparte o teoretyczny dobór próby posłużyły jako ilustracja czterech dyskursywnych mechanizmów wykorzystania przeszłości: genealogicznych odniesień, upamiętnień, historycznego kontekstu i historycznych analogii.
Application of neural networks to the analysis of consumer opinions
Authors: Mysan Roman , Loichuk Ivan , Plechawska-Wójcik Małgorzata
Published: January 2020

This paper presents an analysis of the possibilities of using neural networks to classify text data in the form of comments. Moreover, results of research of two neural network optimization methods: Adam and Gradient are presented. The aim of the work is to conduct research on the behavior of the neural network depending on the change of parameters and the amount of data used to teach the neural network. To achieve the goal, a test application was created. It uses a neural network to display the overall assessment of the accommodation facility based on the added user feedback.
Analysis of the defending possibilities against SQL Injection attacks
Authors: Byzdra Chrystian , Kozieł Grzegorz
Published: January 2020

The article describes various protection methods of database and types of SQL Injection attacks. These are extremely dangerous attacks because they threaten the confidentiality of sensitive data. In order to analyze in detail protection methods and methods of attacks, simulations of attacks and defence were performed in the following languages: C #, PHP, Java. Based on the simulation results for particular languages, the effectiveness and efficiency of database protection methods were compared.
Exploring the Extreme Learning Machine for Classification of Brain MRIs
Authors:   Dept. of Computer Science and Applications, Utkal University, Bhubaneswar, India., Satapathy Pranati , Hota Sarbeswara ,   Computer Application Dept., Siksha O Anusandhan Deemed to be University, Bhubaneswar, India., Pradhan Sateesh Kumar ,   Computer Science and Applications, Utkal University, Bhubaneswar, India.
Published: January 2020

Magnetic Resonance Imaging (MRI) technique of brain is the most important aspect of diagnosis of brain diseases. The manual analysis of MR images and identifying the brain diseases is tedious and error prone task for the radiologists and physicians. In this paper 2-Dimensional Discrete Wavelet Transformation (2D DWT) is used for feature extraction and Principal Component Analysis (PCA) is used for feature reduction. The three types of brain diseases i.e. Alzheimer, Glioma and Multiple Sclerosis are considered for this work. The Two Hidden layer Extreme learning Machine (TELM) is used for classification of samples into normal or pathological. The performance of the TELM is compared with basic ELM and the simulation results indicate that TELM outperformed the basic ELM method. Accuracy, Recall, Sensitivity and F-score are considered as the classification performance measures in this paper.
A Novel Scheduled Power Management using Iot Controlled Energy Meter
Authors:   Assistant Professor, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu) India., Pavithra C. , Pavithra Y. ,   PG Scholar, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu) India., Geethamani R. ,   Assistant Professor, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu) India., Sankari V. ,   PG Scholar, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu) India.
Published: January 2020

In this proposed system, scheduled power management is to reduce the excess use of energy and to reduce the energy tariff of the domestic consumers. The price differs, if one unit exceeds the value fixed by tariff 1a plan. For domestic customers, scheduling of energy is done by using energy meter which is controlled by IOT and Arduinos. If the consumer uses excess of scheduled energy the user gets an SMS and the circuit will be tripped automatically, in case if there is necessity for more energy, we switch to normal function from the scheduled function which can be maintained by IoT. The consumer can check the energy consumption in webpage. The internet of things paradigm has been proposed in order to check the energy consumption and also for automation purposes like tripping the circuits when energy usage is increased. A very low cost, advanced embedded hardware has been used to make the prototype model.
Text Classification of Cornell Movie Data using Data Mining with Feature Selection
Authors:   Department of Information Technology, Dr. C.V. Raman University, Bilaspur (C.G.), India., Shrivas A. K. , Ghosh S. M. ,   Department of Computer Science Engineering, Dr. C.V. Raman University, Bilaspur (C.G.), India., Dewangan Amit Kumar ,   Department of Computer Science Engineering, Dr. C.V. Raman University, Bilaspur (C.G.), India.
Published: January 2020

Text Classification is branch of text mining through which we can analyze the sentiment of the movie data. In this research paper we have applied different preprocessing techniques to reduce the features from cornell movie data set. We have also applied the Correlation-based feature subset selection and chi-square feature selection technique for gathering most valuable words of each category in text mining processes. The new cornell movie data set formed after applying the preprocessing steps and feature selection techniques. We have classified the cornell movie data as positive or negative using various classifiers like Support Vector Machine (SVM), Multilayer Perceptron (MLP), Naive Bayes (NB), Bays Net (BN) and Random Forest (RF) classifier. We have also compared the classification accuracy among classifiers and achieved better accuracy i. e. 87% in case of SVM classifier with reduced number of features. The suggested classifier can be useful in opinion of movie review, analysis of any blog and documents etc.
Planning of People Management System in One of the Telecommunication Companies in Indonesia using the System Usability Scale Method
Authors:   Information Systems Management Department, BINUS Graduate Program – Master of Information System Managements, Bina Nusantara University, Jakarta, Indonesia, Sutroyudo Muhammad Irvan , Kaburuan Emil Robert ,   Information Systems Management Department, BINUS Graduate Program – Master of Information System Managements, Bina Nusantara University, Jakarta, Indonesia
Published: January 2020

At this time the application for mobile applications on an industrial scale and companies are still considered very lacking for it’s application, it is because the industry that is currently running is still likely to use a desktop. Which with the mobile application opportunity and understanding of technology from everyone in the company, business process automation can be done more efficiently through mobile applications. Planning of this people management system aims to resolve the problem experienced by one of the telecommunications companies in Indonesia, which at present employees find it very difficult to make requests for overtime, leave and claims, because the current system is still in desktop or manual form filling which still depends on the office network environment. Therefore, a mobile application-based People Management System (PMS) will be made in which the process will run in real time and can be done anywhere. For the initial stages of development planning Mobile applications for People Management System (PMS) will greatly help the company problems mentioned earlier. By using Heuristic Task Analysis (HTA) as a method for reviewing the effectiveness of work and activities that are not properly carried out, so it can be obtained desirable productivity (Stanton, 2006)., and the System Usability Scale (SUS) method for interface testing which is carried out directly by end users (Martoyo & Falahah,2015). Based on the provisions of the System Usability Scale score, the assessment results of 10 respondents for the People management system application of 79.0 where the score is the Acceptability Ranges in the Acceptable category and are in grade B. From these results it is felt that there is still need for further development because current planning is for the initial planning phase, there needs to be further development to improve the performance of the company and comfort for employees.
An Adaptive Authentication Schemes based on the user Mobility in Medical-IoT
Authors:   Research Scholar, SCOPE, Vellore Institute of Technology, Vellore, Tamilnadu, India, Jyotheeswari P. , Jeyanthi N. ,   Associate Professor, SITE, Vellore Institute of Technology, Vellore, Tamilnadu, India,
Published: January 2020

The utilization of wireless communication in the medical The utilization of wireless communication in the medical filed led to the quality life of patients. The patients who are residing in the remote areas can consult and communicate with the doctors through the health care authority. However, providing the security at the time of communication is a difficult task in medical-IoT. The researchers developed many schemes for data authentication, but every scheme has their own drawback and they are majorly concentrated on the static communication. This paper developed the different authentication mechanisms between the patient and doctor who are available in different regions. The proposed mechanism provides the authentication, anonymity, data integrity and mutual authentication. It also uses the symmetric encryption techniques to preserve the security in Medical–IoT. The performance of the authentication mechanism is tested with real time environment. The results proved that the proposed algorithm is efficient in resisting the replay attacks and preserves the anonymity, data integrity and authentication.
Multipath Routing of Elephant Flows in Data Centers Based on Software Defined Networking
Authors:   Professor, Kongu Engineering College, Perundurai – 638060, Tamil Nadu, India, Thamilselvan R. , Selvi K. Tamil ,   Assistant Professor, Kongu Engineering College, Perundurai – 638060, Tamil Nadu, India, Rajalaxmi R. R. ,   Professor, Kongu Engineering College, Perundurai – 638060, Tamil Nadu, India, Gothai E. ,   Associate Professor, Kongu Engineering College, Perundurai – 638060, Tamil Nadu, India
Published: January 2020

The data center networks encompass various cloud services. Network congestion and network load imbalance may occur in data center networks due to elephant flows. In order to improve the throughput and overall utilization of the network, a dynamic load balancing mechanism has to be in place. Software Defined Networking (SDN) is used to perform the balancing of the network load. SDN can obtain the global view of the network and hence contain the status and topology of the entire data center network. The elephant flows can be split and send to multiple paths based on the current state of the network. The described idea is implemented in the OpenFlow environment and tested for improvement. The result shows the enhancement in throughput and network utilization.
Performance Exploration on Various Document Clustering Techniques with K-Means Family
Authors:   Assistant Professor, Annamalai University,Tamilnadu, India., Kumaresan V. , Nagarajan R. ,   Assistant Professor, Annamalai University, Annamalai Nagar, India.
Published: January 2020

Clustering performs a important position in numerous fields which include Computer science & packages, facts, pattern reputation, system studying technique and find out dating among the files. Clustering focuses on document clustering, and other related area. Increase within the extent of statistics saved in virtual form (text, photograph, audio) has improved the need for requirement of an automated tool, that allows people to find and manage the records in an efficient way. Usually clustering refer to document clustering technique investigates the documents and find its relation. This paper center of attention on the a range of clustering methods and evaluation its overall performance. This paper also categories the document clustering techniques as three major groups, namely Group K-means, Expectation Maximization and Semantic-based techniques (Hybrid method). Several experiments were conducted to analyse the performance accuracy and Speed.
Blockchain Based E Voting System
Authors:   Student, Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamilnadu, India., Rahul B. , Gowr P.Sheela ,   Assistant Professor, Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamilnadu, India, Latha M. ,   Assistant Professor, Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamilnadu, India., Shereen S.Regina ,   Student, Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamilnadu, India., Vishal M. ,   Student, Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamilnadu, India.
Published: January 2020

Building an electronic casting a ballot framework that fulfills the lawful necessities of administrators has been a test. An appropriated record innovation is an energizing mechanical headway in the Information Technology world. This paper intends to assess the utilization of block chain as administration to actualize dispersed electronic casting a ballot framework. The paper elicit ate the prerequisites of structure electronic casting a ballot framework and distinguishes the lawful and mechanical constraints of utilizing block chain as an administration for acknowledging such frameworks. The paper assesses a portion of the prominent block chain systems that offer block chain as aadministration. This paper proposes a novel electronic casting a ballot framework dependent on block chain that tends to all constraints. All the more for the most part this paper assesses the capability of dispersed record advancements through the portrayal of a contextual analysis, to be specificthe procedure of a race and actualizing a block chain-based application which improves the security and diminishes the expense of facilitating an across the nation decision.
The Curiosity of Education Faculty Students in Learning
Authors:   State Institute of Islamic Studies (IAIN) Curup, Curup, Indonesia., Hartini  , Kartadinata Sunaryo ,   Universitas Penddikan Indonesia (UPI) Bandung, Indonesia., LN Syamsu Yusuf ,   Universitas Penddikan Indonesia (UPI) Bandung, Indonesia.., Solehuddin M. ,   Universitas Penddikan Indonesia (UPI) Bandung, Indonesia., M Edi Wahyudi ,   State Institute of Islamic Studies (IAIN) Curup, Curup, Indonesia
Published: January 2020

In this study we described the curiosity of education faculty students in learning based on aspects of interest, noveltyseeking, the openness of experience and exploration. We used cross-sectional survey with a quantitative approach to collect data and to measure curiosity in learning we used questionnaire. The participants were 286 spread across 9 study programs in the faculty of education. The results showed that students sometimes have a curiosity in learning. This condition explained the curiosity of students in learning tends to be in the medium category and tends to be low because the number of students who are rare and never curiosity in learning more than students who often and always curiosity in learning.
Aerodynamic Performance of Biomimicry Snake-Shaped Airfoil
Authors:   Department of Aerospace Engineering, Universiti Putra Malaysia, Malaysia., Rafie A. S. Mohd , Magaidi A. M. ,   Department of Aerospace Engineering, Universiti Putra Malaysia, Malaysia., Marzuki O. F. ,   Department of Basic Science and Engineering, Universiti Putra Malaysia, Malaysia.
Published: January 2020

The cross-section shape and proportionality between geometrical dimensions are the most important design parameters of any lifting surfaces. These parameters affect the amount of the aerodynamic forces that will be generated. In this study, the focus is placed on the snake-cross-section airfoil known as the S-airfoil. It is found that there is a lack of available researches on S-airfoil despite its important characteristics. A parametric study on empty model of the S-airfoil with a cross-section shape that is inspired by the Chrysopelea paradise snake is conducted through numerical simulation. Simulation using 2D-ANSYS FLUENT17 software is used to generate the lift and drag forces to determine the performance of airfoil aerodynamic. Based on the results, the S-airfoil can be improved in performance of aerodynamic by reducing the thickness at certain range, whereby changing the thickness-to-chord ratio from 0.037 to 0.011 results in the increment of lift-to-drag ratio from 2.629 to 3.257. On other hand, increasing the height-to-chord ratio of the S-airfoil will increase maximum lift coefficient but drawback is a wide range of angles of attack regarding maximum lift-to-drag ratio. Encouraging results obtained in this study draws attention to the importance of expanding the research on S-airfoil and its usage, especially in wind energy.
Development of Cross Language Clone Detector for C, C & Java Repositories using Natural Language Processing
Authors:   department of Computer Science & Engineering, KLECET Chikodi,,India., Ankali Sanjay B. , Parthiban Latha ,   department of Computer Science, Pondicherry University, India.
Published: January 2020

Reusing the code with or without modification is common process in building all the large codebases of system software like Linux, gcc , and jdk. This process is referred to as software cloning or forking. Developers always find difficulty of bug fixes in porting large code base from one language to other native language during software porting. There exist many approaches in identifying software clones of same language that may not contribute for the developers involved in porting hence there is a need for cross language clone detector. This paper uses primary Natural Language Processing (NLP) approach using latent semantic analysis to find the cross language clones of other neighboring languages in terms of all 4 types of clones using latent semantic analysis algorithm that uses Singular value decomposition. It takes input as code(C, C++ or Java) and matches all the neighboring code clones in the static repository in terms of frequency of lines matched.
American Sign Language to Text - Speech using Background Subtraction using Running Averages
Authors:   Department of Computer Science and Engineering G.B. Pant Government Engineering College, New Delhi, India., Tripathi Jyoti , Goel Prafull ,   Department of Computer Science and Engineering G.B. Pant Government Engineering College, New Delhi, India., Bhadauria Raman ,   Department of Computer Science and Engineering G.B. Pant Government Engineering College, New Delhi, India., Yadav Nikhil ,   Department of Computer Science and Engineering G.B. Pant Government Engineering College, New Delhi, India., Gupta Keshav ,   Department of Computer Science and Engineering G.B. Pant Government Engineering College, New Delhi, India.
Published: January 2020

This Paper Proposes A System Which Converts American Sign Language Hand Gestures Into Text Cum Speech And Helps To Bridge The Communication Gap Between DeafMute People And Rest Of The Society. Any System For This Purpose Generally Has Four Modules: Segmentation, Feature Extraction, Classification And Text-To-Speech. This Paper Focuses On An Improved Method For The Segmentation And The Feature Extraction Processes To Get More Better Resultswhile Using The Standard Techniques On The Other Two Modules. Proposed Algorithm Captures Initial 30 Frames Of The Live Video From The Web Cam Of The System To Construct The Background Model. It Then Finds The Absolute Difference Between The Current Frame And The Background Model In Order To Get The Foreground. Various Features Are Extracted To Classify The Gestures Like Contour, Convexity Hull Etc.. Proposed Algorithm Has Been Tested Under Low And Normal Room Light Conditions. The Overall Performance Of The Proposed Model Will Be Very High And Will Produce Far More Better Resultsdue To Improved Proposed Algorithms For The Initial Two Modules In Comparison To Other Standard Techniques Used Like Hsv, Ycbcr The Above System Can Be Incorporated Into Simple Web Applications, Mobile Applications And Many Other Applications Translating Gestures In The Conversations In Real Time.
Assessment of the Various Techniques and Models Used To Secure the Applications of Internet of Things
Authors:   Professor, department of Computer Science & Engineering, Chandigarh Group of Colleges, Technical Campus, Jhanjeri, Mohali. (Punjab)., Moudgil Manu Raj , Lamba Anil Kumar ,   Professor & Head, department of Computer Science & Engineering, Chandigarh Group of Colleges, Technical Campus, Jhanjeri, Mohali(Punjab)., Gupta Er. Priya ,   Assistant Professor, department of Computer science and engineering, Aryabhatta Group of Institutions, Barnala (Punjab).
Published: January 2020

In The Today’s Environment Digitization Plays A Vital Role In Daily Aspects Of Life And Mostly All The Appliances Are Digitally Connected And Smart In Operation That Grows Rapidly In All Over The World. For This, Iot Frameworks Is Mainly Applied And Utilized To Build Different Types Iot Applications. During The Formation Of Applications In Iot, Different Types Of Rules, Standards And Procedures Are Used Which Is Embedded In The Iot Framework. While Implementing The Privacy And Security In The Applications Needs A Variety Of Procedures And Mechanisms For Confirmations That All The Things Are Properly Working And Threat Avoidance. This Paper Focuses On Assessment Of Various Security Mechanisms Which Can Be Applied To Build An Iot Application. Also, The Pros And Cons Of Each Technique In The Domain Of Iot Application.
Design and Implementation of Smart Helmet and Intelligent Bike System
Authors:   Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India., Karthik R , Jyothi K ,   Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India., Annapurna B ,   Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India., Anusha B. ,   Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India., Rajitha V ,   Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India.
Published: January 2020

A smart helmet that covers and protects the head from any damage in driving a two-wheeler vehicle. The main aim of our project is to provide safety for a rider and to make life of citizens more secure while driving a vehicle. The alcohol sensor is used to detect the alcohol content in riders breath. If rider is in drunk state, without wearing the helmet the bike will not start. In this situation, the rider should have to wear the helmet then only the rider can start the bike. Zigbee module acts as transceiver to communicate between the sensors and control devices. The respective person of registered number can know the details whether the rider was drunk or not. The main advantage is to avoid the two-wheeler accidents and drunk drive cases. This project mainly focus on wearing of helmet or not.
An efficient Task Scheduling Algorithm using Modified Whale Optimization Algorithm in Cloud Computing
Authors:   Asst. Prof (SLG), Dept of CSE, Kongu Engineering College, Perundurai, Tamilnadu, India, Saravanan N.P. , Kumaravel T. ,   Asst. Prof, Dept of CSE, Kongu Engineering College, Perundurai, Tamilnadu, India
Published: January 2020

Cloud computing brings computing resources such as software and hardware, it serve service to the users through a network. Major concept of cloud computing is to share the marvellous storage section. In cloud computing, the user jobs are prepared and executed with appropriate resources to successfully deliver the services. There are large amount of task allocation techniques that are used to accomplish task planning. In order to improve the task scheduling technique, so we proposed method of efficient task scheduling algorithm. Optimization techniques are solving NP-hard problems is very famous. In this proposed technique, user tasks are stored in the order of queue methods. The priority is designed and allocated suitable resources for the task. New tasks are investigated and kept in the on-demand priority of queue. The output of the on-demand queue is given to the MWOA. It has been proved that this algorithm is capable to eliminate optimization problems and outperform the current algorithms. The method is proposed to the required more number of iterations is reduced. The proposed algorithm is compared with various scheduling algorithms such as, genetic algorithm, ant colony, standard grey wolf optimization and particle swarm optimization. The outcomes of tests indicate the better efficiency of the MWOA in expressions of makespan and energy consumption.
Spectral Analysis of MST Radar Signal using Maximum Likelihood Estimation Algorithm
Authors:   ECE, S.V. Engineering College, Tirupati, India., Latha G. Madhavi , Chandraiah G. ,   ECE, S.V. Engineering College, Tirupati, India., Varadarajan S. ,   ECE, S.V. Engineering College, Tirupati, India.., Reddy T.Sreenivasulu ,   ECE, S.V. Engineering College, Tirupati, India.., Kumar P. Satish ,   ECE, S.V. Engineering College, Tirupati, India..
Published: January 2020

In this work, we propose Maximum likelihood estimation of low- rank Toeplitz covariance matrix (MELT) with reduced complexity algorithm for computing the power spectral density of mesosphere-stratosphere-troposphere (MST) radar data. MELT is designed based on the method of majorization-minimization and it is an iterative algorithm to update the powers in each successive step. We tested MELT algorithm for complex signal, which contain multiple frequency components in existence of different noise conditions. For simulated complex data, it can be seen that MELT works much better for low Signal to Noise Ratio (SNR) conditions and also effectively detects the frequency components with a fine resolution in the existence with high noise impact. At last, MELT algorithm is applied to the radar data received from MST radar established at National Atmospheric Research laboratory (NARL), Gadhanki. MELT algorithm estimates the accurate Doppler spectra and thus in turn, estimate the wind parameters using Doppler profiles. For the purpose of validation, the obtained radar results through MELT are compared with the Global Positioning System (GPS) radiosonde.
A Self Configurable Edge Computing for Industrial IoT
Authors:   Department of Electronics and Communication Engineering, Sri Chandrasekharendra Viswa Mahavidyalaya, SCSVMV Deemed to be University, Kanchipuram, INDIA., Chandramohan S. , Senthilkumaran M. ,   Department of Computer Science and Engineering, Sri Chandrasekharendra Viswa Mahavidyalaya, SCSVMV Deemed to be University, Kanchipuram, INDIA
Published: January 2020

The proliferation of Industrial Internet of Things (IIoT) introduces the concept of a smarter production environment. The emerging technologies like software defined network (SDN), IIoT and cloud computing will bring great advancements in the modern industrial revolution called Industry 4.0. Therefore, with the rapid development of IIoT technology, the proposed work incorporates with Edge Computing (EC). The current manufacturing process and automation, computing and wireless network reaches out to headways in innovation from easy to the point where all things (devices) and machines can interface through an Internet of Everything (IoE). This paper extends the work carried out in traditional methods, by integrating the cloud layer, Automatic Guided Vehicles (AGV), Industrial Wireless networks (IWN) and Industrial robots through EC is conferred to make autonomous decision-making capabilities. EC is emerging as a significant element in the smart industry to bring legacy in the context of Industrial IoT (IIoT). Finally, our proposed framework demonstrates that the active RFID-enabled AGV and industrial robots are brought in to exploit for effective resource management under the EC-based IIoT architecture, subsequently, it improves the conveyor efficiency and overall energy consumption in the warehouse for material handling.
Impact of Heat Shield Thickness on Performance of Roll through Simulation
Authors:   Mechanical Engineering Department, GRIET, Hyderabad, India., Shivaprasad Nalla , Jyothi U.S. ,   Mechanical Engineering Department, GRIET, Hyderabad, India
Published: January 2020

Rolls of the packing machine undertakes an imperative job in packing industries. So as to decrease the power input and reducingthe heat dissipation rate, there are numerous methodologies, for example, surface coatings, surface boronizing and with heat shields and so forth. This work is expected to reducethe power contribution to heaters by diminishing the heat dissemination rate utilizing heat shields with simulation of different thicknesses. There is a decrease of dissipation of heat by using Stainless steel 316 Ti (0.7 mm thickness) heat shields and there is a reduction of 13.9% in power input, 28% time saving and14% in heat dissipation rate is noticedwhencompared to standard rolls up to steady surface temperature where there is saving of 198W per hour in power after steady temperature. Hence an attempt is being made for improving results that are obtained from experiments by using simulation through ANSYS steady state thermal analysis. From the results it is inferred that as thickness of heat shield increases the input electrical energy for the heater goes on reducing and results shows that 0.7 mm thickness shield is 4.28% efficient than 0.8 mm heat shield. Further through simulation optimum thickness is was observed. But thickness is restricted to 1mm only because of machine specification complexity. Further the results of simulation for varying thickness are presented with contours of temperature distribution and heat flux.
Mapping the Spatial Accessibility of Riau’s Health Facilities using QGIS
Authors:   Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia, Hansun Seng , Wiguna Putu Perdana Kusuma ,   Center for Spatial Data Infrastructure Development, Universitas Udayana, Denpasar, Indonesia, Wicaksono Febri ,   Sekolah Tinggi Ilmu Statistik (STIS), Jakarta, Indonesia, Rheza Muhammad ,   Pulse Lab Jakarta, Jakarta, Indonesia, Hodge George ,   Pulse Lab Jakarta,Jakarta, Indonesia
Published: January 2020

In this study, we try to map the health facilities’ spatial accessibility in Riau Province, Indonesia. Access to proper health facilities is a determinant factor in a country’s development. There are some problems in establishing and developing health facilities; one of them is the health facilities' accessibility during disaster hazards. Therefore, the health facilities' location will be related to common disaster hazards, such as forest wildfire and floods. We use QGIS software to help in building and analyzing the spatial accessibility with the final web application that can be used as a supporting tool for decision-makers.
Tele-Healthcare Unit for Remote Patient Monitoring
Authors:   Assistant Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur., Midasala Vasujadevi , Prakash H Mani Sai ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur., abhilash T ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur., Rohit L ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur.
Published: January 2020

Tele-health is characterized as the usage of electronic data and broadcast using telecommunication advancements to help and advance long-distance clinical medicinal services, patient and expert long-distance clinical health care, patient and professional health education, public healthmonitoring and health administration. In this research, the proposed system that uses Sensors to monitor patient's health and uses internet to alert the practitioner and family members in case of emergency. It is capable of monitoring health status of the patient at home, which is at remote location also. If system identifies any parameter is beyond the normal range temperature, the health care unit gives continuous alertation about the patients’ status over Internet and also shows details of heartbeat & temperature of patient continuously using the IoT.
Regular Graphs and Corona Graphs Based on Special Type of Labeling
Authors:   BIHER, Chennai (Tamil Nadu) India, Babu Shalini Rajendra , Ramya N. ,   Professor, BIHER, Chennai (Tamil Nadu) India.
Published: January 2020

Here we consider the special type of labeling as lucky edge labeling for Regular graphs and corona graphs.
Abdominal Aortic ANEURYSM Identification Using HLSFMM Segmentation and SVM Classifier
Authors:   Department of Biomedical Engineering, Bharath University, Chennai (Tamil nadu) Inida., Anandh S. , Vasuki R. ,   Department of Biomedical Engineering, Bharath University, Chennai (Tamil nadu) Inida., Baradie Raid Al ,   Department of Medical Lab, Majmaah University, Kingdom of Saudi Arabia.
Published: January 2020

The localized inflammation of the abdominal aorta region causes Abdominal Aortic Aneurysm (AAA). The width of the lumen enlarges its size 3 cm or more than half of its diameter, which is larger than the typical diameter. There is no symptom until it becomes ruptured, which may often results in death. In this paper, a hybrid level set technique is presented to detect and segment the image taken from MRI of abdominal aortic aneurysm region. In traditional level set technique re-initialization problems are high. This problem is completely eradicated in the Hybrid Level Set Fast Marching method (HLSFMM). Median filter diminishes the noise in the image efficiently when compared to standard SVM classifier which uses Gaussian RBF kernel operator as a diameter measure by incorporating spatial data. Finally HLSFMM is utilized to extract source boundary in pre segmentation stage. The precision and the orderliness of the proposed method are extracted for different noisy MRI AAA images. Compared this result with other methods, the proposed system is much proficient for images with noises and accurate segmentations results are attained.
A Dwt and Scrambling Based Blind Watermarking Algorithm for Digital Images Authentication
Authors:   Departement of Computer and Electrical Engineering, Higher Technological Institute HTI, 10th of Ramadan City, Egypt., Eid Amira , Emran Ahmed A. ,   Department of Electrical Engineering, Al-Azhar University, Cairo, Egypt., Morsy Ahmed Y. ,   Department of Electrical Engineering, Al-Azhar University, Cairo, Egypt.
Published: January 2020

Like the other multimedia that is spread on the Internet, images are also vulnerable to theft and attacks. Protecting the image is therefore an urgent necessity because it represents a large proportion of the digital content. Authentication and ownership protection are the basic demands of image security and these are achieved by applying watermarking techniques. For the Muslim world, the Holy Quran has its sanctity, which does not accept any controversy or doubt. As part of keeping pace with modern technology, digital copies of the Holy Qur’an are available, which are widely distributed all over the world. Therefore, it is necessary to ensure that these copies maintain their integrity and ensure that there are no malicious manipulations. In this paper, we propose an image watermarking scheme to authenticate the images of digital version of Holy Quran using discrete wavelet transform DWT. Here a fragile watermark is used to clarify whether there is any modification occurred to the intended images. Initially the cover image is decomposed by DWT where 2nd and 4th level coefficients are exploited for watermark embedding. The intended watermark is obtained by scrambling the original cover image. Then the scrambled image is inserted into the DWT coefficients by several trials using different embedding gains. To evaluate our system and see how effective it is to detect any error or manipulation, PSNR, SSIM and MSE are employed beside that they are acting as an imperceptibility measure. Results proved that our method has achieved a good level of imperceptibility and can detect any slight tamper. It is necessary to bear in mind that this method is valid for application to normal color images as well and gives an excellent level of efficiency.
Design and Analysis of Three Phase Soft Switching Inverter Incorporating Fuzzy Logic Controller
Authors:   Asst. Prof., Department of EEE, S.Veerasamy Chettiar College of Engg & Tech, Tamilnadu, India., N Ismayil Kani. , V Manikandan. B. ,   Senior Prof, Department of EEE, Mepco Schlenk Engineering, College, Tamil Nadu, India., K Premkumar. ,   Asso. Prof., Department of EEE, Rajalakshmi Engineering College, Tamilnadu, India.
Published: January 2020

A soft switching three phase inverter with the fuzzy logic system is proposed . The controller design is explained in this paper. The soft switching is achieved through zero voltage switching methods.The soft switching is attain through auxiliary circuits.Therefore, the auxiliary circuit will be enhanced the conversion efficiency, and the conduction loss will be scaled down. The performance of proposed controller is illustrated using MATLAB Simulink.The mode of the prototype is fabricated and tested. The Simulation and hardware results validate each other, which show that the presented method is both satisfactory and consistent with expectation.
An Advanced Optimization Protocol for Cross Layer Routing in MANET
Authors:   Research Scholar, Department of Computer Science and Engineering, Rayalaseema University, Kurnool, Andhra Pradesh, India., Tahseen Bushra , Babu P. Suryanarayana ,   Professor, Department of Computer Science and Engineering, Rayalaseema University, Kurnool, Andhra Pradesh, India.
Published: January 2020

Through advancements in communication techniques, there have been significant advances in information technology. Information exchange is captive from infrastructure-based to infrastructure-free techniques. Development in wireless technology and portable computing systems has brought interest in the mobile communication field. The increasing flexibility of people around the network has generated demand for mobile networks such as MANET that can be deployed rapidly and without infrastructure. When users of MANET expect effective communication, seamless reliability is currently crucial across heterogeneous mobile wireless systems. The main challenges in adhoc networks are regular topology changes due to flexibility and limited battery capacity for mobile devices. Depletion of the power source may cause early links in the network to be unavailable. Often, due to frequent breaks in path and affects the performance adversely needed for applications as well as node flexibility. This research paper aims to test and suggest a cross-layer interaction model between transport layer, routing layer, data link layer, and physical layer with power-efficient routing intentions. Using the proposed link prediction model, the article modified the incorporated AODV routing protocol by the link prediction algorithm to predict the accessibility time and even before the connection breaks. The proposed algorithm increases the service quality of the network and NS2 simulator checked the model. The simulation results indicate that the performance of the AODV routing algorithm is much more effective than the current algorithm.
Development of the Edible and Poisonous Mushrooms Classification Model by using the Feature Selection and the Decision Tree Techniques
Authors:   Assistant Professor, Department of Information Technology, Science and Technology, Suan Sunandha Rajabhat University, Thailand., Nuanmeesri Sumitra , Sriurai Wongkot ,   Assistant Professor, Department of Mathematics Statistics and Computer Science Ubon Ratchathani University, Thailand.
Published: January 2020

This research aims to develop a classification model for edible and poisonous mushrooms by applying the feature selection approach together with the decision tree technique. Two feature selection methods were applied, including 1) Chi-square and 2) Information Gain, while the effectiveness of the model was compared by three decision tree methods such as Iterative Dichotomiser3, C4.5 and Random Forest. The data used for classifying the edible and poisonous mushrooms derived from the Encyclopedia of Thai mushrooms and the book entitled “Diversity of Mushrooms and Macrofungi in Thailand”. The results of the model’s effectiveness evaluation revealed that the model using the Information Gain technique alongside with the Random Forest technique provided the most accurate classification outcomes at 94.19%; therefore, this model could be further applied in the future studies.
Additive Manufacturing of a Gorlov Helical Type Vertical Axis Wind Turbine
Authors:   Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad (Telangana) India, Krishnaraj J. , Ellappan Sivakumar ,   Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad (Telangana) India., Kumar M. Anil ,   Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad (Telangana) India.
Published: January 2020

In this work, a Gorlov helical type Vertical Axis Wind turbine (VAWT) model is designed and manufactured by using one of the additive manufacturing techniques called Fused Deposition Modelling (FDM) through a 3D Printer. The VAWT was made by interpretation of the wind conditions and by selecting of the suitable Airfoil profile for the blades of the turbine based on the DMS analysis (Q-Blade is an open source software which is particularly used in designing of wind turbine blades). The CAD modelling is done on SOLIDWORKS 2017 and later converted in to a Stereolithography (STL) format file which is compatible with the 3D Printing software called CURA by Ultimaker. All the parts were manufactured on the 3D Printer and assembled together and coupled with the suitable generator for the generation of Power. This VAWT is more suitable for urban areas and can generate more power even at the lower wind speeds unlike the Horizontal Axis Wind Turbines (HAWT) which require open lands for their efficient working.
A Proposed Cascaded Multilevel Inverter with R-Load at Different Carrier Frequencies
Authors:   School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, India, Nanda Lipika , Pradhan Aryadhara ,   School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, India
Published: January 2020

Cascaded multilevel inverter has the major problem as voltage imbalance across the capacitors connected in circuits which are acting like dc sources. The number of level generation depends on the number of DC sources and switches placed in cascaded multilevel inverter topology. In this proposed topology the positive levels and zero levels of the inverter have been explained. This topology also work in symmetrical condition. The topology is simulated in MATLAB and its THDs are calculated at different modulation index. The voltage stress and loss calculations are carried out at different carrier frequencies.