bluuebunny/crossref_metadata_2025 huggingface dataset:
KEBIJAKAN USAHA KESEHATAN SEKOLAH/MADRASAH
Authors: Mahmud M.
Published: November 2019

This paper aims to explain that the implementation of School Health Unit (UKS/M) policy in pesantren based education institution in Banyuwangi Regency is not ideal with what is stated in the decision of 4 Ministers (SKB 4 Ministers) namely Minister of Health, Minister of Religious Affairs, Minister of Education and Culture, and the Minister of Home Affairs on the development and development of School Health Unit (UKS/M). This research is a descriptive research taken from qualitative data in the form of field observation, interview, and documentation as the material of analysis, so that writer can find important findings. 1) implementation of the School Health Unit (UKS/M) trias in schools under the auspices of pesantren cottages most of them have not been properly implemented; 2) coordination of the 4 elements of the ministry has not been well established; 3) the absence of adequate human resources such as not understanding their duties and obligations, the financial resources of the state budget has not been realized, and equipment resources (facilities required) is not complete even there are schools that do not have at all; 4) the willingness for the implementation of UKS/M from the four elements of the ministry is still in the form of planning; 5) the organizational structure of the UKS/M facilitation team from the 4 ministries has not been established; 6) the implementation of coaching and development of UKS/M is only done by the health department only.
WEB KOMIK BERBAHASA INGGRIS
Authors: Amin Risma Fahrul , Makki Hali
Published: November 2019

Reading interest is very important in development of generation and the current issue in Indonesian education. Researchers try to carry out classroom action research that is the application of web comic to increase student’s reading interest in English literature at Ibrahimy University. The purpose of this study is to know through the application of web comic can increase student’s reading interest and reading skills and to know through the application of web comic can improve student’s reading comprehension at Ibrahimy University of Situbondo. The results of this study can be concluded that the use of web comic can increase student’s reading interest and improve student’s reading skills at Ibrahimy University of Situbondo, student’s reading comprehension also progressed from the percentage of student’s reading success from 40.63% to 93.75%.
MEMAHAMI KOMUNIKASI MELALUI PENELITIAN
Authors: Wisri Wisri , Mughni Abd.
Published: November 2019

Communication is central in human life. All activities in human life require communication. The scientific study of the symptoms or reality of communication covers a very broad field, covering all forms of human relations and using symbols. more concretely this includes fields such as Interpersonal Communication, Group Communication, Organizational/Intellectual Communication, Mass Communication and Cultural Communication as seen in various forms of symbolic expression. Noting the seven traditions of communication research as such, communication research seems to be facing an important issue for its development in the present and future, which is pleased with how to try to take steps to get out of the confines of tradition and / or bring together existing traditions. This effort might be in the form of combining one tradition with another existing tradition (trying to synthesize existing traditions) while pioneering an entirely new tradition, for example with a more extensive implementation of historical methods to discover how communication patterns exists in a society in the past and attempts to understand what is now by looking at the past.
RESTRUKTURISASI PEMBIAYAAN MURABAHAH
Authors: Asra Moh. , Al-Hanun Wilda , Hariyanto Arif
Published: November 2019

This study examines how the restructuring process occurred in the financing of murabahah problems both in Islamic banking and in other sharia business units. The problematic financing case occurs suddenly, because in general before experiencing a problematic phase, at this stage the bank will warn customers in a familial manner. Basically, the implementation of the Murabahah Restructuring is carried out with the principle of prudence and sharia principles through the rescheduling process, re-requirements, and rearrangement. In general, how this restructuring process must be in accordance with Bank Indonesia Regulation number No. 10/18/ PBI/2008 as amended by Bank Indonesia Regulation Number 13/9PBI/2011 concerning financing restructuring for Islamic banks and Islamic business units.
WAJAH ISLAM INDONESIA
Authors: Fawaid Imam , Khatimah Husnul
Published: November 2019

According to Clifford Geertz, Islam in Indonesia is a religious tradition that is influenced by religious beliefs, ethnic preferences and political ideologies carried out by Modjokuto people as a reflection of the religious traditions of the Javanese community. Geertz states that the style of Islam in Indonesia, especially Java is syncretic Islam. It was from a combination of Islam and Javanese culture. Islam is only a mere accessory but its substance is a noble Javanese culture. Whereas according to Woodward, that religious conception has a big role in transforming certain cultures in this case is Javanese Islamic culture. According to Woodward, the style of Islam in the archipelago is acculturative. It was from the encounter with the local culture in a very long time.
An In-Depth Comparison Of Software Frameworks For Developing Desktop Applications Using Web Technologies
Authors: Toman Zinah Hussein , Toman Sarah Hussein , Hazar Manar Joundy
Published: November 2019

Today JavaScript is one of the most popular and fastest growing programming languages. Initially designed as a web browser scripting language, its adoption has reached beyond web pages: the Internet of Things, mobile and desktop applications. Lately, an increased interest can be observed over developing desktop software using JavaScript and other web technologies such as HTML and CSS. Many popular software products followed this path: Skype, Visual Studio Code, Atom, Brackets, Light Table, Microsoft Teams, Microsoft SQL Operations Studio, GitHub Desktop, Signal, etc.
The aim of this article is to aid developers to choose the right framework for their needs, through a comprehensive side-by-side comparison of Electron and NW.js, the two frameworks available for developing desktop software with JavaScript, HTML and CSS. Electron despite being a younger project. It was concluded in this article that this software framework outperforms NW.js in the matter of capabilities on most areas such as file system, user interface, system integration and multimedia; except printing. However, NW.js is easier to use and debug.
The Effect of Not Using Internet of Things in Critical life Situations in the Health Field and the Effect on Iraqi Profitability: Empirical Study in Basra
Authors: Al-Hashimy Hisham Noori Hussain , Hamoud Alaa Khalaf , Hussain Fatima Alaa
Published: November 2019

Internet of things (IOT) is an emerging field in Iraq that has gained research interest. One of its most important aspects concerns how to bind IOT to enhance healthcare in Iraq. This study was conducted at the College of Computer Science and Information Technology. It discussed the effect of not using IOT to manage critical life-threatening situations in Iraqi healthcare. In this study, we considered IOT technology, particularly the DRONE ambulance, using real data collected via a random questionnaire study in Basra. The data was analyzed using SPSS version 0.23. At the end of the study, we identified the factors that could have affected the use of IOT technology: awareness, security, cost, governmental support, collaboration, and professional behavior. The results showed that collaboration affected the use of IOT technology.
Two-Dimensional Optical Character Recognition of Mouse Drawn in Turkish Capital Letters Using Multi-Layer Perceptron Classification
Authors: Al-Zubaidi Ehsan Ali , Mijwil Maad M. , Alsaadi Aysar Sh.
Published: November 2019

The Optical Character Recognition (OCR) is software for text recognition that takes an image containing text, to transform it into strings, then save them into a format that make it able to use in text editing programs. The OCR plays a significant role in the transformation of printed materials into digital text files. These digital files can be very useful for children and adults who have awkward reading. This is because a digital text can be used with computer programs that allow people to read them in different ways. In this paper, we developed system for Turkish character recognition under visual studio (C#) development environment, where machine learning is used to accurately predict optical characters, the reason why it has a high precision and high recognition speed through deep learning, which is one of the machine learning methods for OCR when drawing letters by mouse on the screen, then recognize by using back propagation algorithm.
Deep Learning Hyper Parameter Optimization for Video Analytic in Centralized System
Authors:   Assistant Professor, Department of Computer Science Engineering,SRM Institute of Science & Technology, Chennai, India, V. Arun , Bhattacharjee Shuvam ,   Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India., Khandelwal Ritik ,   Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India, Malik Kanishk ,   Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India
Published: November 2019

A framework to perform video examination is proposed utilizing a powerfully tuned convolutional arrange. Recordings are gotten from distributed storage, preprocessed, and a model for supporting order is created on these video streams utilizing cloud-based framework. A key spotlight in this paper is on tuning hyper-parameters related with the profound learning calculation used to build the model. We further propose a programmed video object order pipeline to approve the framework. The scientific model used to help hyper-parameter tuning improves execution of the proposed pipeline, and results of different parameters on framework's presentation is analyzed. Along these lines, the parameters that contribute toward the most ideal presentation are chosen for the video object order pipeline. Our examination based approval uncovers an exactness and accuracy of 97% and 96%, separately. The framework demonstrated to be adaptable, strong, and adjustable for a wide range of utilizations.
Effect of Quench Severity and Hardness of Aluminium 2585 Alloyusing Eco Friendly Quenchants
Authors:   Research Scholar, Dept of Mechanical Engineering, ANU, Guntur., rao M Maruthi , Sudheer Dr. NVVS ,   Dept; of ME RVR&JC College of Engineering ,Guntur,AP. India.
Published: November 2019

Rate of cooling, hardness and severity during quenching of various media viz; cow urine, distilled water, tap water, engine oil (unused) SAE40 soap nut solution, shikakai nut solution for industrial heat treatment was investigated using 2585 Al alloy. For all media, nucleate boiling and convective heat transfer are being carried out and out of which maximum and minimum cooling rates are observed for cow urine. From the study it has been observed that cow urine, tap water and distilled water, cow urine has high heat transfer coefficient 6.577W/m2K, whereas Engine oil, Shikakai nut solution, Soap nut solution are considered Soap nut solution has high heat transfer coefficient 3.654 W/m2K. For all the quenchants, the hardness of Al 2585 alloy increased cow urine.
An Integrated Multiport Dc – Dc Converter for Renewable Energy Applications
Authors:   Associate Professor, Department of Electrical and Electronics Engineering, Vel Tech Multi Tech Dr RR Dr SR Engineering College, Chennai., PRAKASH* Dr. D.
Published: November 2019

As conventional energy sources are steadily depleting n nature due to human activities, renewable energy sources are the need of the hour. Renewable energy source delivers environmental friendly, sustainable power. Due to the intermittent nature of these source, the power produced cannot be used directly by the consumers. So the output power is conditional to meet the grid requirements by using semiconductor devices.In the present system, wind energy output is coupled with back to back power converter and solar energy output with dc to ac converter. The output from the two systems are separately interfaced with the power grid. This has the disadvantages of higher components count, increased cost and inefficient power flow management. The proposed system consists of four ports among which one port is for solar point input, one port is for wind energy input, one bi-directional battery port and an isolated load port. Zero voltage switching is adopted for all main switches in the converter. The integrated four port converter has the advantages of interfacing two sources and controlling them with low cost, compact structure that allow and intelligent power flow management between the household users, the electric distribution grid and the distributed generation units. This converter provides the facilities to combine two or more generation sources. Solar power and wind power are given as input to the two input ports of the converter. The converters use four main switches for this conversion. The output voltage will be a DC voltage. This voltage can be used to derive any DC load or can be converted to AC voltage using inverter to drive an AC load.
Internet of Things based Energy Supervision and Control for Household Appliances
Authors:   Department of ECE, Loyola-ICAM College of Engineering and Technology, Loyola Campus, Nungambakkam, Chennai, G* Senthil Kumar , J Jim Staffad ,   Department of ECE, Loyola-ICAM College of Engineering and Technology, Loyola Campus, Nungambakkam, Chennai, M Vishal ,   UG Scholar, Department of ECE, Loyola-ICAM College of Engineering and Technology, Loyola Campus, Nungambakkam, Chennai
Published: November 2019

This paper proposes an efficient method to manage energy consumption. In usual practice; a major focus is given to the total cost generated in an electricity bill. The amount of power consumed by individual appliances remains a question. This study demonstrates the usage of sensors to determine the power consumed by individual appliances and a microcontroller to perform computations and put on the internet for future analysis. This power management mechanism helps us control appliances thereby preventing wastage of power, thus making the world a better and a smarter place to live in.
Performance Unified Power Quality Conditioner using Instantaneous Reactive Power Theory
Authors:   Department of EEE, Anurag Group Of Institutions, Hyderabad, India, M* Srikar , Reddy P Shanmukhavardhan ,   Department of EEE, Anurag Group Of Institutions, Hyderabad, India, Kumar Dr T Anil ,   Department of EEE, Anurag Group Of Institutions, Hyderabad, India
Published: November 2019

The development use power digital tools presents harmonics in the supply system which develops an issue in the high quality of power supplied. Great Power Quality is quite crucial for our everyday use home appliances in both commercial as well as residential fields. Scientists have actually attempted as well as applied several valuable innovation for eliminating all the voltage and also present relevant harmonic incident troubles which consequently enhances the high quality of power provided to the power system. The focal point of this thesis is the execution of control methods like SRF concept as well as immediate power for the procedure of Unified Power Quality Conditioner (UPQC) which is just one of the current modern technology that consists of both collection and also shunt energetic power filter operating at the very same time as well as thus boosts all the present as well as voltage relevant trouble like voltage sag/swell, flicker, and so on at the exact same time and also assists in decrease of Total Harmonic Distortion. Harmonic materials of the resource current has actually been determined as well as contrasted for the various situations to show the impact of harmonic removal circuit on the harmonic settlement quality of AC-DC power supply feeding to nonlinear tons. Simulation results gotten programs that the efficiency of compensator is located to be far better than without compensator.
An Intelligent and Non Integer Order Coordinate Control for LFC of Multi Area Power System Integrated with EVs
Authors:   Assistant Professor, Department of EEE, Anurag Group of Institutions, Hyderabad, Yaseen* MD. , Sathyanarayana G. ,   UG Scholar, Department of EEE, Anurag Group of Institutions, Hyderabad, Kumar Dr.T.Anil ,   Head of the Department, Department of EEE, Anurag Group of Institutions, Hyderabad
Published: November 2019

Nowadays to reduce carbon emissions every one looking forward to pollution free energy by integrating electrical power system with Electric Vehicles (EVs). This paper offers the participation of EVs for LFC of 3 region energy systems and every control area there is a EVs penetration to minimize frequency and Tie-Line oscillations of multi area power system. In this propose work a coordinated intelligent (Fuzzy) and Non Integer Order (FOPID) controller implemented for three area power system under sudden load disturbances and larger load demands. This new coordinated control methodology tested on multi area power system using MATLAB-Simulink and performance of proposed coordinated control strategy compared to FOPID and PID controllers.
Detection of Outlier s in High Dimensional Data with Lasso Regression
Authors:   Research Scholar, Dept. of CSE, ANU, Guntur, Andhra Pradesh, India., Anuradha* Ch. , Ramesh Dr. M. ,   Research Supervisor, Dept. of CSE, ANU, Guntur, Andhra Pradesh, India.
Published: November 2019

Detecting Outliers has become a significant research area in data mining in last few years. The focus of this research has been to identify patterns or objects in huge data sets of a database that are exceptional from normal pattern, specifically dissimilar, and unpredictable with reference to the most of the datasets. As billions of personal computers, and internet users rose phenomenally, huge data sets of real life applications have been created for new challenges as well as explorations in research for Outlier detection. Many traditional techniques to detect outliers have unable to yield good results in such environments. So, developing a method to detect Outliers has become a critical task. A method to identify anomalies in high dimensional data based on Lasso Regression has been study in this research. This framework has been implemented in the open source JMP software. The parameters such as RSquare 0.001162, RMSE 0.031806 and Mean Response 0.007889 are calculated using Spambase dataset. The results from the experiments have shown that the proposed method detects Outliers in high dimensional data with potentially higher accuracy.
Aging Assessment of Power Transformer Insulation Oil using Hybrid Meta-Heuristic Trained Artificial Neural Network
Authors:   Research Scholar, IKGPTU, Kapurthala, Punjab, India., Singh* Harkamal Deep , Singh Dr. Jashandeep ,   Associate Professor, Department of Electrical Engineering, Bhai Gurdas Institute of Engineering and Technology, Main Patiala Road, Sangrur, Punjab
Published: November 2019

In today's economic state, power transformer remains as the most expensive equipment in electrical system, in which insulation oil has been taken a significant role for performing a prominent operation. Since the insulation oil happens to degrade soon due to aging, high temperature and chemical reactions such as the oxidation, the periodic checking of oil followed by its replacement is necessary to stop the unexpected failure of the transformer. Moreover, it will be very advantageous if it happens to implement an automated model for predicting the age of transformer oil from time to time. The main intent of this paper is to develop an age assessment framework of transformer insulation oil using intelligent approaches. Here, diverse parameters associated with the transformer such as Breakdown Voltage (BDV), moisture, resistivity, tan delta, interfacial tension, and flash point is given as input for predicting the age of the insulation oil. These data have been already collected using 20 working power transformers operated at various substations in Punjab, India. In the proposed model, the collected parameters are subjected to a well-performing machine learning algorithm termed as Artificial Neural Network (ANN) in order to predict the age of the insulation oil. As a main contribution, the existing training algorithm in ANN so called as Levenberg–Marquardt (LM) is replaced by a hybrid meta-heuritics algorithm. The newly developed hybrid algorithm merges the idea of Crow Search Algorithm (CSA), and Particle Swarm Optimization (PSO), and the new algorithm is termed as Particle Swarm-based Crow Search Algorithm (PS-CSA). The new training algorithm optimizes the weight of ANN using the hybrid CS-PSO updating procedure, in such a way that the difference between the predicted and actual outcome is minimum. Hence, this age prediction of transformer insulation oil will be beneficial for the environs to avoid the drastic condition.
An Efficient System for Early Diagnosis of B reast Cancer using Support Vector Machine
Authors:   Department of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, Ahatsham*  , Singh Anupam ,   Department of Computer Science, University of Petroleum & Energy Studies, Dehradun, India.,, Shahare Vivek ,   Department of Computer Science, University of Petroleum & Energy Studies, Dehradun, India.,, Arora Nitin ,   Department of Computer Science, University of Petroleum & Energy Studies, Dehradun, India
Published: November 2019

There are many lives lost every year due to cancer and among them; among the women breast cancer causes the most deaths. For the better prediction of breast cancer risks, numerous studies have been undertaken incorporating data mining techniques. 1.1 million Cases of breast cancer were reported in 2004. It has been seen over the years that, that the numbers increase with the increasing industrialization and urbanization. It was earlier observed that mostly affected countries with breast cancer were high income countries such as America but now a days it is also very serious issue in middle and low income countries like Africa, Latin America and Asia. The main objective of this paper is to create a model which can more efficiently and accurately categorize a cancer as malignant or benevolent based on interpretation of the numerical values of attributes of ultrasound images of breast cancer. In this paper various data mining algorithm used like SVM(Support Vector Machine) for prediction and compared it with various other algorithms such as CART, Logistic Regression, KNN for the best training and test accuracy. SVM algorithm gives the most accurate results among the rest algorithm.
Experimental Analysis of Epoxy Bonded B eams with GFRP L aminates
Authors:   Head Of The Department, Civil Engineering Department, Pace Institute Of Technology And Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India., Naidu G.Ganesh , Prasad* M.Sri Durga Vara ,   Assistant Professor, Civil Department, Pace Institute Of Technology And Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India., I.Jaagruthi  ,   PG Scholar, Pace Institute Of Technology And Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India.
Published: November 2019

External wrapping or retrofitting of polymer sheets are used in concrete and reinforced concrete structures is an increasing trend present. This paper evaluates the flexural behavior of beams retrofitted externally with GFRP laminates. Experimental plan deals with static experimental analysis. Reinforced beams of sizes 200×250×3500mm are casted for a grade of M35. Reinforced beams are externally retrofitted with E-glass fiber polymers. Beams are epoxy bonded to the GFRP laminates. Beams are tested under monotonic two point concentrated loading. Load – Deflection characteristics, crack pattern and failure characteristics of beam are analyzed.
Advantages a nd Problems o f t he Development o f Efficient Biofuel Production
Authors:   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University) (RAZUMOVSKY MSUTM (FСU)), Russian Federation, Krasnikov* Stepan , Nikolaeva Svetlana ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University) (RAZUMOVSKY MSUTM (FСU)), Russian Federation, Rysin Mikhail ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University) (RAZUMOVSKY MSUTM (FСU)), Russian Federation, Belousova Maria ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University) (RAZUMOVSKY MSUTM (FСU)), Russian Federation, Busygina Elena ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University) (RAZUMOVSKY MSUTM (FСU)), Russian Federation, Maslennikov Igor ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University) (RAZUMOVSKY MSUTM (FСU)), Russian Federation
Published: November 2019

The article discusses the advantages and problems of the development of efficient biofuel production. The experience of developed countries in the production of biofuels from agricultural raw materials. Defined economic and social aspects. There is a political side to the production of renewable bioenergy. The availability of verified energy sources gives the country a certain temporary "margin of energy durability" in the event of a sudden interruption in the supply of traditional fuels (oil, fuel oil, gas) and some opportunity for maneuvering energy resources within the state. The development of bioenergy based on the use of its own raw material base is economically feasible. This is not only biofuels and fertilizers, but also high-protein feed for livestock and poultry, as well as the possibility of energy supply of specific agricultural enterprises.
Advanced Manufacturing Technology: Implementation of Design AMT
Authors:   Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal., Sonepat, India., Taank* Lalit , Jarial Dr. S. K. ,   Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal., Sonepat, India.
Published: November 2019

Technology plays a key role to create and maintain competitiveness in the universal arena. Technology is all the knowledge, processes, methods, tools, products and systems engaged in the design of goods or in providing services. Advanced Manufacturing Technology (AMT) is a new technology whose adoption changes the industry’s manufacturing practice, production and approaches to design and management systems. Moreover, AMT plays a critical role in developing socio-economic environment and this brings further external effects to the country. Importance of technology for competitiveness is rising in emerging environment of AMT. The role of AMT had always been well understood in the developed nations, it is being touched by small scale and medium scale industries in developing country also. The importance of technology for business success and competitiveness has been confirmed empirically in several contexts.
Effect o f Canola O il to Reduce the Scum Formation s
Authors:   Ph. D Research Scholar, KBCNMU, Jalgaon M.Tech in Thermal Engineering Bhambori, Maharashtra., Thakur* Shyamsing Vijaysing , Barjibhe Dr. Rahul B. ,   Professor & Dean Academics & Administration Shri Sant Gadge Baba College of Engineering & Technology, Bhambori, Maharashtra.
Published: November 2019

The scum is a colligation of slow degrading substrate formed on topmost portion of digester with its gas, metastable liquid and foam contents it impacts seriously on biogas plant economically, environmentally and biologically. Scum formations hamper the yield of biogas generation, methane contents, slows the degradation process and stops the burnable biogas formation. The operational plant performance drops rapidly. The experimentations were conducted with canola oil, natural Coconut oil and ENO to evaluate the defoaming potentials on lab scale model. The research concluded that the canola oil is best chemical additive which reported better defoaming potential of 32% at peak, higher yield of biogas, improves methane contents and stabilizes the pH for better biomethanation.
Garber Filter Based Hybridized Algorithm For Feature Extraction From A Fuzzy Fingerprint Image
Authors:   Lecturer,Department of Computer Engineering, Srinivasa Subbaraya Polytechnic College, puthur, Nagappatinam, Tamilnadu, India., Devi* S. Suganthi
Published: November 2019

Proper extraction of fingerprint functions is important for matching the fingerprint algorithms. Different pieces of fingerprint information, such as rigid orientation and frequency should be taken into consideration for good results. The quality of a fingerprint image is often required to improve the function extraction process. In this article we introduce a Hybridized Garber Filter Algorithm (HGFA) for Fuzzy Fingerprint Image Feature Extraction for effective fingerprint recognition.This paper describes a fingerprint detection system consisting of image preprocessing, filtration, extraction and recognition matching.Preprocessing of images includes normalization based on median value and variation. In order to prepare the fingerprint image further processing, Gabor filters are extracted. The Poincaré index with a partitioning technique is used for the identification of a particular point. The extraction of the ridge line is shown and also the minute extraction with CN algorithm
Securing Communication in IoT Ecosystem Using Cryptographic Algorithms
Authors:   Dy. Director, Department of IT & Engineering, Banasthali University, India., Singh Tanya , Jain Anshul ,   Technical Manager, Department of Network Technology and Management, Amity University, Uttar Pradesh, India.
Published: November 2019

Internet of Things (IoTs) is defined as an ever-growing network, which comprises of numerous physical objects with a specific IP address along with wireless internet communication, which enables the process of information sharing between two objects. Due to the frequent transfer and exchange of high confidential data between two devices through internet, there arise some susceptible attacks in IoT such as denial of service, eavesdropping attack and so on. A high-level authentication protocol and cryptographic techniques are required to resolve the issue of vulnerable attack and data loss. The current study presents a review of various IoT models and applications. Furthermore, the concerns related to security with respect to data sharing and numerous attacks have been featured in this paper. In order to avoid and minimize these attacks, numerous security measures and cryptographic algorithms have been developed by different authors. The study on several existing protocols has been carried out in this research along with the study on authentication algorithm developed by the authors. The result section contrasts a brief idea about the key requirements for the data security and authentication for the future aspects along with necessity of memory and power utilization. Additionally, some examination has been carried out briefing the future directions in which additionally work would be possible on the development of lightweight cryptography protocols.
Nonlinear Processing of Wrist Pulse Signals to Distinguish Diabetic and Non-Diabetic Subjects
Authors:   Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India., Priyadarshini* S. Hema , Dutt D. Narayana ,   Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India., Rajan Anand Prem ,   School of Biosciences and Biotechnology, VIT University, Vellore, India.
Published: November 2019

In pulse diagnosis, the pulse signals obtained at wrist have been used for analysis of certain diseases in ancient systems of medicine in which the practitioner feels the pulse of the subject by placing his three fingers on the subject’s wrist at three distinct radial pulse point locations. The preliminary studies show that there are many conventional linear techniques applied to analyze the wrist pulse signals and less focus on non-linear techniques. Hence, the main aim of this research is to apply Recurrence Plot and Recurrence Quantification Analysis (RQA), a nonlinear technique to analyze the wrist pulse signals for distinguishing between diabetic and non-diabetic subjects. Wrist pulse signals from 32 subjects were recorded during the morning hours and were analyzed using RQA techniques. The results show significant differences in the RQA parameters of the wrist pulse signals as they are obtained from the recurrences occurring in the phase space plots of the wrist pulse signals. It was found that parameters like entropy, divergence and average diagonal line length showed significant variations for diabetic and non diabetic subjects. Therefore, it can be concluded that RQA parameters can be used effectively to identify diabetic and non diabetic subjects and thus may be applied on the wrist pulse signals for early detection of various diseases.
Wind Power Plant Modelling in Wasp-Iv Through Ssa
Authors:   Assistant Professor, PSNA College of Engineering& Technology, Dindigul, Tamil Nadu, India, Jayapalan* Booma , Ramakrishnan Velmurugan ,   Professor,Mallareddy Engineering College for Women, Secundrabad, Telangana, India,
Published: November 2019

This paper deals with the simulation results obtained with regard to the restricted load demand in the state of Tamil Nadu for the year 2015. There are certain approaches in long term benefits of wind power plant modelling in WASP-IV. They all have some kind of approximations such as, load modification approach and supply-side approach. In Supply-Side Approach, Wind Power Plant (WPP) is meant to have both unreliable thermal plant capacity and the hydro capacity of Run-of-River (RoR), to make this approach more effective. As Capacity Factor (CF) is estimated as 18.6% for WPP, the FOR is estimated to be 81.4%. For solar energy generation system too, such a process is applied whereby the average CF is considered to be 40% while the FOR is assumed to be 60%. In the representation of WPP as RoR hydro plant, the constraint in the form of inflow energy.
D ouble B oost SEPIC C onverter based M ultifunctional G rid I nteractive I nverter for R enewable E nergy I ntegration
Authors:   Department of EEE, Anurag Group of Institutions, Hyderabad, India., Satheesh* Karla , Kumar A. Naveen ,   Department of EEE, Anurag Group of Institutions, Hyderabad, India., Kumar T. Anil ,   Department of EEE, Anurag Group of Institutions, Hyderabad, India.
Published: November 2019

This paper deals with a multi objective control strategy to control the double boost sepic converter (DBSEPIC) based grid interconnected inverter using synchronous reference frame (SRF) control. In the process of renewable integration grid interactive inverter with suggested control can be economize as a 1) power allocation and control between the inverter and grid for load, 2) retrenchment of harmonics in source current, 3) reactive power compensation. In this proposed SRF control strategy there are two different types of controllers are used one is PI controller and another one fractional order sliding mode controller (FOSMC). The simplicity of PI controller and robustness of FOSMC utilised here. The performance of two controllers is compared in terms settling time, peak overshoot and THD through simulation results.
Performance Analysis of Different Classifier for Remote Sensing Application
Authors:   Assistant Professor/Research Scholar, Department of ECE, JSS Academy of Technical Education, Bangalore-560060 and Affiliated Visvesvaraya Technological University, Belagavi, Karnataka, India., N* Mahendra H , S Mallikarjunaswamy ,   Associate Professor, Department of ECE, JSS Academy of Technical Education, Bangalore-560060 and Affiliated Visvesvaraya Technological University, Belagavi, Karnataka, India.., V Rekha ,   Assistant Professor, Department of CSE, Christ University, Bangalore, India., V Puspalatha ,   Assistant Professor, Department of ISE, Mysore College of Engineering and Management, Mysore, India., N Sharmila ,   Assistant Professor, Department of EEE, RNSIT, Bangalore.
Published: November 2019

The classification of remotely sensed data on thematic map is a challenging task from very long time and it is also a goal of today’s remote sensing because of complexity level of earth surface and selection of suitable classification technique. Hence selection of best classification technique in remote sensing will give better result. Classification of remotely sensed data is an important task within the domain of remote sensing and it is outlined as processing technique that uses a systematic approach to group the pixels into different classes. In this study, we have classified the multispectral data of Udupi district, Karnataka, India using different classifier including Support Vector Machine (SVM), Maximum Likelihood, Minimum Distance and Mahalanobis Distance classifier. The data of dimension 3980x3201 pixels are collected from a Landsat-3 satellite. Performance of the each classifier is compared by conducting accuracy assessment test and Kappa analysis. The obtained results shows that SVM will give accuracy of 95.35% and kappa value of 0.9408 respectively when compared other classifier, hence effectiveness of SVM is a good choice for classifying remotely sensed data.
Nano Machine-based Hybrid 3D Network-on-Chip (NoC) using 18nm tsmc Technology
Authors:   Professor, Electronics and Communication Engineering at Swarnandhra College of Engineering and Technology, Narsapur, Andhra Pradesh,India, Balamurugan* Dr.K. , Shijukumar R. ,   Senior R&D Engineer, Firmtech, Thiruvanathanpuram, Kerala, India.
Published: November 2019

Network-on-Chip paradigm is an emerging technology that provides communication between the Intellectual Property cores in System-on-Chip (SoC). The drastic development of nanotechnology supports the making of Intellectual property cores with small area, less power dissipation, improvement in latency and achieves high speed. The neural systems that emulate biological sensory capability on reconfigurable hardware are the key requirement in the field of Neuro-Engineering. Nano-neural connectivity technique is highly needed in order to implement reconfigurable Neural Networks (NNs) on-chip. This paper proposes a novel Nano Machine based Hybrid 3D Network-on-Chip for the emulation of a third-generation (3G) Neural Network model called Spiking Neural Network (SNN). This Hybrid Network-on-Chip uses a Nanomachine Transceiver with Carbon nanotube antenna which uses the novel pulse-based technique to transfer the packets between the subnet of NoC to reduce the latency. The experimental result of this work shows the improvement in latency of Nano machine-based NoC compared to the previously reported work for 18 nm TSMC technology.
An Enhanced Plant Disease Classifier Model Based on Deep Learning Techniques
Authors:   Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Saudi Arabia, Alruwaili Madallah , El-Ghany Sameh Abd ,   Department of Information Systems, Faculty of Computers and Information Mansoura University, Mansoura 35516, Egypt, Shehab* Abdulaziz ,   Department of Information Systems, Faculty of Computers and Information Mansoura University, Mansoura 35516, Egypt.
Published: November 2019

Plant disease detection is used to detect and identify symptoms of plant diseases. Detection of plant diseases through the naked eye is ineffective, especially because there are numerous diseases. Therefore, there is a need to develop low-cost methods to improve rapidity and accuracy of plant disease diagnosis. This paper presents an effective model for plant disease detection by using our developed deep learning approach. Extensive experiments were performed on the PlantVillage dataset, which contains 54,306 images categorized between 38 different classes containing 14 crop species and 26 diseases. Our proposed model demonstrated significant performance improvement in terms of accuracy, recall, precision, and F1-score compared with the existing model used for plant disease detection.
Automated Optic Disc Segmentation and Classification Model using Optimal Convolutional Neural Network for Glaucoma Diagnosis System
Authors:   Department of Computer and Information Science, Annamalai University, Chidambaram, Tamilnadu, Venugopal* Narmatha , Mari Kamarasan ,   Department of Computer and Information Science, Annamalai University, Chidambaram, Tamilnadu.
Published: November 2019

In present days, Glaucoma is an important disease which affects the retinal portion of the eye. The identification of Glaucoma in a color fundus image is a difficult process and it needs high experience and knowledge. The earlier identification glaucoma could save the patient from blindness. An important way to diagnose the glaucoma is to detect and segment the optic disc (OD) area. The region of OD area finds useful to help the automated identification of abnormal functions occurs in the case of any injury or damage. This paper presented an automated OD segmentation and classification model for the detection of glaucoma. The presented model involves feature extraction using median filter, segmentation using morphological operation and classification using convolution neural network (CNN). Here, optimal parameter settings of the CNN are automatically tuned by the use of particle swarm optimization (PSO) algorithm. The presented model is validated using DRISHTI-GS dataset and a detailed quantitative analysis is made to ensure the goodness of the presented model. In addition, the extensive simulation outcome pointed out that the presented model showed outperforming results with the maximum accuracy of 97.02% in the classification of OD.
Reverse Path Nearby Cluster (Rpnc) Query Optimization u sing Trajectory Clustering With Ensemble Learning (Tcel) In Spatial Networks
Authors:   Research Scholar, Bharathiar University, Rashmi* G. Dona , Narayani Dr.V. ,   Assistant Professor, Department of Computer Science, st. Xavier’s college, Tirunelveli.
Published: November 2019

In spatial network, optimal path planning in real time is an open problem. For complex queries, Query optimization is intensively used. From given locations, most accessible locations can be found by Reverse Path nearby Cluster (R-PNC) query. This facility maximizes the commercial value. Distribution Clustering with Support Vector Machine is used to form a R-PNC clusters in the existing works. Trajectories with low positioning accuracy are used by this method. Trajectory Clustering with Ensemble Learning (TCEL) is proposed to overcome this problem. In this, Reverse Path nearby Cluster (R-PNC) query is used for effective path selection. Spatial datasets are handled using a two step process. Set of micro-clusters are maintained in the first step. Based on the input data, this micro clusters are continuously updated. Infinite data sources are compressed into a finite data set using Micro-clusters. More trajectory information can be stored using this finite dataset. In the second stage, ensemble learning is used to convert this micro-cluster into a macro-clusters of trajectories. Reverse the top k –RPNC. Based on their highest distribution they are stored and they are scanned to minimum from maximum. Improved Weight based Grey Wolf Optimization Algorithm (IWGWOA) is used to compute these values. The proposed system is implemented in MATLAB. The evaluation parameters like Normalized Mutual Information (NMI) and Rand Index (RI) are utilized for performance evaluation of proposed model.
Scalar Multiplication via Elliptic Net using Generalized Equivalent Sequences
Authors:   Department of Engineering, Faculty of Engineering and Life Sciences, Universiti Selangor, 45600 Bestari Jaya, Selangor, Malaysia, Muslim* Norliana , Said Mohamad Rushdan Md. ,   Institute for Mathematical Research, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
Published: November 2019

Chord and tangent is a classical method to calculate the elliptic curve scalar multiplication. Alternatively, the scalar multiplication can be calculated by dividing polynomials over certain finite fields and the first elliptic net scalar multiplication was implemented on a short Weierstrass curve. The net was originated from non-linear recurrence sequences, namely as elliptic divisibility sequence. It is well known that the linear recurrence sequences have been applied in the cryptosystem as a cipher in the encryption and decryption process. From the perspective of cryptographic application, the elliptic divisibility sequence is used generally for integer factorization, solving elliptic curve discrete logarithm problem and computation of pairing or scalar multiplication. But there is a lack of contribution of these non-linear recurrence sequences in scalar multiplication. Therefore, this paper aims to discuss a generalization of the equivalent sequence of elliptic divisibility for computing scalar multiplication. The experimental results of scalar multiplication via the net and its coding in computer programming are presented. The future direction of scalar multiplication via the elliptic net is also discussed.
Weight Optimization of Roller Shaft of Pad Steam Machine
Authors:   Assistant Professor in Mechanical Engineering department, Dr. D.Y. Patil Unitech Society’s, Dr. D.Y. Patil Institute of Technology, Pimpri Pune, India., N. Mr. Bhalerao G. , Patil Dr. Atul Ashok ,   Professor in Mechanical Engineering department, Dr. D.Y. Patil Unitech Society’s, Dr. D.Y. Patil Institute of Technology, Pimpri Pune, India., Waghulde Dr K B ,   Professor in Mechanical Engineering department, Dr. D.Y. Patil Unitech Society’s, Dr. D.Y. Patil Institute of Technology, Pimpri Pune, India.
Published: November 2019

The roller shaft of a continuous pad steam machine suddenly appeared the abnormal when it was running condition in textile industry which effects on maintenance of machine, time, cost, productivity importance etc. This paper present the material analysis, weight optimization and stiffness characteristic of roller shaft of pad steam machine maintaining the integrity of the specifications. A 3D model is created in Catia V5RI to mating to design, optimization and finite element analysis of roller shaft used in pad steam machine which is made of carbon steel material. The FEA was done in HYPER WORK software (Nastran & Optistruct) in two parts preprocessing and post processing by using four different materials based on their composition viz. Carbon steel AISI 1040, EN8, EN24, and AISI 6150. The parameter like von misses stress, deformation; maximum and minimum principal stress & strain were obtained from analysis Software. Santosh D Dalvi et. al. also worked on this system in 2017 by comparison of existing and new material AISI 1040. FEA show that the EN24 Material is best suggested material among all also find out results like weight and stiffness parameter. It is resulted of 12.527 % of weight with reduction in deformation. Performed two mechanical test i.e. tensile test and hardness test as per ASTM on sample specimens; results show that the strength and hardness are within the limit. This research work is improving shaft parameters which are used in textile industry, heavy duty application etc.