bluuebunny/crossref_metadata_2025 huggingface dataset:
An Efficient Methodology for Object Classification using Light Weight Deep Convolutional Neural Networks
Authors:   Research Scholar, Acharya Nagarjuna University, Guntur, India., B Anjanadevi , Bhavanam Dr. S Nagakishore ,   Assistant Professor, Dept. of ECE, Acharya Nagarjuna University, Guntur, India., Reddy Dr. E Srinivasa ,   Professor, Deparment of CSE, Acharya Nagarjuna University, Guntur, India.
Published: August 2019

In current era, deep convolution neural networks (DCNNs) have good break-through in processing images while reducing computational cost and increasing accuracy. Proposed approach focuses on object detection using classification with DCNN model. This model uses feature map for pre-processing the images and convolution layers helps to minimize the processing using deep learning perceptron’s. After that the proposed approach uses Light – Weight Deep Convolution Neural Network(LW_DCNN) Model which includes less number of convolution layers, Max Pooling layers with relevant parameters and Dense, flatten layers to train the data using Leaky ReLU function for improving accuracy. The proposed methodology LW_DCNN is highly efficient compared to traditional classification techniques and presenting simple and powerful model for object detection in Video Surveillance Systems. This model also tested on GPU systems and proved efficiency in less computational time. Obtained Results are clearly shows that model is more efficient in classifying the objects intern classifying the working condition of the overhead power polls insulators in real time video frame sequences.
IoT and Big Data Framework for Paddy Cultivation
Authors:   Department of Computer Science, Periyar University PG Extension centre, Dharmapuri. Tamil Nadu, India., Revathi N. , Sengottuvelan P. ,   Department of Computer Science, Periyar University PG Extension centre, Dharmapuri. Tamil Nadu, India.
Published: August 2019

Agriculture needs agriculturists to adopt digital in terms of low cost data acquisition from Soil, Weather and water related resources through drones, satellites, sensors and weather stations where in data sources are different, unstructured, volume and veracity of data generated is also huge which poses as a big data problem to solved. Agriculture is the backbone of India and being the largest paddy producer in the world. TamilNadu alone contributes at 7% of the overall paddy cultivation. The key aspect of TamilNadu paddy cultivation is 90% of its farmers belong to the small and medium size category. It's important for farmers who are producing paddy to be equipped with the technology advancements in a simple and effective manner to manage better way of irrigation in terms of water management, improving yield and efficient use of fertilizer and pesticides. Due to inherent nature of large area involved and complex eco system involved paddy cultivation have been always posing challenges in new technology adoption in terms of data acquisition, processing and reporting and lacks easy to follow contextual framework technologists to adopt. This paper would discuss on the infrastructure, technology and big data aspects for paddy cultivation by qualitative research methods. The research would involve identification of the appropriate contextual framework through architectural means and algorithm which would help in sensor deployment strategy. At the end the paper would develop a framework for approaching the IoT and Big Data in paddy cultivation. The framework would outline the architecture components, protocols, communication interfaces which could be leveraged for paddy cultivation. Apart from this the framework also discusses the Wireless sensor network deployment and its key aspect such as coverage in the paddy fields.
Pair Wise Swapping Based Hypergraph Parti-tioning Algorithms for VLSI Design
Authors:   Department of computer science & Engineering, parala maharaja Engineering college Affiliated to Biju Patnaik uni-versity of Technology, Berhampur, Odisha, India, Sinha Er Mitali
Published: August 2019

A VLSI integrated circuit is the most signifi-cant part of electronic systems such as personal computer or workstation, digital camera, cell phone or a portable computing device, and automobile. So development within the field of electronic space depends on the design planning of VLSI integrated circuit. Circuit partitioning is most important step in VLSI physical design process. Many heuristic partitioning algorithms are proposed for this problem. The first heuristic algorithm for hypergraph partitioning in the domain of VLSI is FM algorithm. In this paper, I have proposed three varia-tions of FM algorithm by utilizing pair insightful swapping strat-egies. I have played out a relative investigation of FM and my proposed algorithms utilizing two datasets for example ISPD98 and ISPD99. Test results demonstrate that my proposed calcula-tions outflank the FM algorithm.
Performance Based Adaptive Personalized eLearning System
Authors:   Assistant professor at MMCOE, Pune, India., Shekapure Swati , Patil Dipti D. ,   Associate professor at Department of Information Technology, MKSSS's Cummins College of Engineering for women, Pune, India.
Published: August 2019

Step by step eLearning is developing pattern in industry. To the extent, learning technique is concerned it has been seen that conventional learning strategy, for example, instructor and learner as well as chalk and duster swings too inventive learning. Because of innovation in technology each one started learning by utilizing web. If learner is asking for particular learning material sometimes they are not getting relevant result. So there is need to acquire certain data of learner. This data incorporates their learning style, foundation learning, Knowledge level, learning interest, age and so forth. This proposed system tends to use retrieve, reuse, revise and retain phases of CBR. For construction of customized eLearning there has been identification of various list of features. In light of list of features there has been task of assignment of priorities according to need of it. Before retrieval process standardization of features set process is carried out. Job of K-nearest neighbour strategy to recognize impeccable k factor for better examination. Because of dynamically incremental dataset this work identifies which classification algorithm has more suitable for the dataset. Eventually eLearning saves time, enhance learning experience and provides academic success.
Interaction of Two Micro-Propellers in Coplanar and Coaxial Arrangement for UAV Application
Authors:   Department of Mechanical Engineering NMIT Bengaluru, Karnataka, India, Naveenkumar  , Deshpande Parag J ,   UAV Division, CSIR-NAL Bengaluru, Dodamani Ravi ,   UAV Division, CSIR-NAL Bengaluru, Antony Roshan ,   UAV Division, CSIR-NAL Bengaluru, Prasad M Girish ,   Department of Mechanical Engineering NMIT Bengaluru
Published: August 2019

In the present work, we have focused on the understanding of the effect of gap between micro propellers in coplanar and in coaxial arrangements on the thrust generation experimentally. In a way it’s a preliminary optimization of the spacing and placement of the micro propellers in a multirotor UAV system. APC 12-inch diameter (D) (12X8 E) and Master air screw (MAS) 11-inch diameter (11X6) propellers each 2 in numbers were considered in the study. A static testing rig was built with a provision to mount the propellers in coplanar and in coaxial arrangements. A thrust was measured using a single component load cell. Parameters like current consumption by BLDC motors and propeller RPM were also monitored. For coplanar arrangement, there is no influence of gap (G) between the propellers on the coefficient of thrust (CT). However, for G/D<0.2 random variation in CT is observed. Similarly, for propellers in coaxial arrangement, for smaller gap between the propellers along the axis is found to generate higher thrust. This optimization of the gap between the propellers may be lead to a compact multi-rotor UAV system having higher payload carrying capacity or higher endurance.
Innovative Analysis of Models for Evaluating the Probability of Enterprises Bankruptcy
Authors:   Plekhanov Russian University of Economics, Moscow, Russian Federation., Kiseleva Irina Anatolievna , Gasparian Mikhail Samuilovich ,   Plekhanov Russian University of Economics, Moscow, Russian Federation., Chernysheva Elena Nikolaevna ,   Plekhanov Russian University of Economics, Moscow, Russian Federation., Voronkova Tatyana Nikolaevna ,   Plekhanov Russian University of Economics, Moscow, Russian Federation., Androshina Irina Sergeevna ,   Moscow Energy Institute, Moscow, Russian Federation.
Published: August 2019

The article is devoted to the relevant topic which is assessment of the insolvency (bankruptcy) of enterprises. The instability of a complex socioeconomic system is intensifying in the market economy, which is difficult to fully study and understand. Modern business is being run in a highly competitive environment. Adequate decision-making requires a deep, comprehensive assessment of the situation and a reliable forecast of events. A firm that has managed to correctly forecast the situation receives more profit than a firm that abstained from forecasting. The firm that made the wrong forecast loses the most. The main types of models for assessment of the bankruptcy probability for enterprises and the factors influencing them in the course of making decisions have been considered in this article, and the bankruptcy probability for Megafon PJSC based on various models has been studied. A comparative analysis of the models for assessment of the bankruptcy probability for enterprises has been conducted. The methods of cognition, retrospective and documentary analysis, as well as synthesis, generalization, and systematization were used in the article.
Occupant Behaviours And Preferences Toward Comfort Level and Energy Use In Building
Authors:   Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM),, Omar M. A. , Jailani J. ,   Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM)., Zakaria M. A. ,   Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM).
Published: August 2019

The expeditiously growing world energy use has already increased the concerns over supply difficulties, consumption of energy resources and environmental impacts. Malaysian Government has spent about RM 2.5 billion for public buildings energy cost every year including nearly RM 400 million was spent for public universities energy cost alone. The study conducted to investigate the effect of occupant’s behaviour and preference that may affect comfort level and energy use in university buildings. A survey carried out to identified occupant’s behaviour and comfort related to energy consumption in the building. Sets of the questionnaire were prepared to be distributed among occupants of the building understudies. Based on the result, occupants prefers to have automated system for both lighting and ventilations to achieve comfort level in the classroom. Furthermore, highly correlated for automated system for both lighting and ventilation are consistently preferred by occupants; which indicate that occupants have consistently agree on automated system compared to standard switching. It could be concluded that occupant’s behaviour and preference can affect the energy use in the buildings.
Privacy Protection for E-Health Records Over Mobile Cloudlet
Authors:   CSE department, S.R.K.R. Engineering College, Bhimavaram, India., Bhargavi M. , Varma P.Bharath Siva ,   CSE department, S.R.K.R. Engineering College, Bhimavaram, India.
Published: August 2019

Preparing of therapeutic data for the foremost half incorporates operation, data storage and data sharing etc. Usual social services framework often wants the conveyance for restorative data to cloud which incorporates purchasers touchy information and cause correspondence. For intents and functions, restorative data sharing is basic and testing issue. Be that because it could, there has been protection worries as on the brink of home well-being information can be bestowed to those outsider servers, and to unapproved parties. To ensure the patient's authority over accessing their Personal Health Records (PHR), it is a promising strategy to cipher the PHR before reappropriating. However issues, as an example; danger of protection introduction, ability in key administration, adaptable access, and skillful client denial, have remained the foremost very important difficulties towards accomplishing fine-grained, typographically approved data gets to regulate. During this paper, we tend to propose a completely unique patient driven system and a set of parts for data gets regulate to PHR place away in semi confided in servers. To accomplish fine-grained and versatile data gets to regulate for PHR, we tend to influence Attribute based encryption coding (ABE) strategies to cipher each patient's PHR document. Distinctive in respect to past works in secure information redistributing, we tend to center on various data owner state of affairs, and gap the purchasers within the PHR frame-work into numerous securities areas that very lessens the key administration many sided nature for proprietors and purchasers transportable cloud let. A high-level of patient protection is ensured whereas by misusing multi-specialist ABE. Our commit to boot empowers dynamic modification of access strategies or record qualities, bolsters effective for the asking client/characteristic repudiation and break glass access below crisis things. Broad scientific and trial results as displayed that demonstrate the protection, ability, and productivity of our set up.
Entrepreneurship Development: Technology, Structure, Innovations
Authors:   Department of Entrepreneurship Economics, St. Petersburg State University of Economics, St. Petersburg, Russia., Yaluner Elena Vasiljevna , Chesnova Olga Alexandrovna ,   Department of Management of Economic and Social Processes in Film and TV Industry, St. Petersburg State Institute of Film and Television, St. Petersburg, Russia., Ivanov Sergey Anatoljevich ,   St. Petersburg State University, St. Petersburg, Russia., Mikheeva Darya Georgievna ,   Department of Management and Planning of Socio-Economic Processes, Saint Petersburg State University, St. Petersburg, Russia., Kalugina Yana Alexandrovna ,   Department of Banks, Financial Markets and Insurance, St. Petersburg State University of Economics, St. Petersburg, Russia.
Published: August 2019

The goal of the work is to analyze the essence of socio-economic environment of entrepreneurship and prospects for the interaction of socio-economic environment of entrepreneurship and business entities using the example of the North-Western region of Russia. To achieve this goal, the method of statistical analysis was used to determine the dynamics of entrepreneurship development in the North-Western Federal District. The method of expert survey was used to identify priority areas for improvement of external business sustainability of small and medium-sized enterprises at the regional level. The article justifies the relevance of the study of the socio-economic environment of entrepreneurship. The authors consider various scientific approaches to determining the nature and importance of business environment, which is understood as a set of conditions and factors that influence the business sector and become the basis for entrepreneurs’ actions on the development of their activity. The article provides statistical data characterizing the dynamics of the development of the business sector in the territory of the North-Western Federal District. It determines priority areas to increase small and medium-sized enterprises’ external business sustainability at the regional level based on the institutional infrastructure of risk prevention and analyzes the effective infrastructure for support of the business activity.
Normal and Abnormal Detection for Knee Osteoarthritis using Machine Learning Techniques
Authors:   Ph.D in Computer Science in the Department of Computer and Information science in Annamalai University., Bhat Aamir Yousuf , Suhasini  ,   Professor in the Department of Computer Science and Engineering, Annamalai University.
Published: August 2019

Osteoarthritis is the most broadly recognized disease in the knee joint that affects the cartilage, especially among the old age or overweight people. In the normal knee joint, the smooth and thin layer called cartilage covers the joint space of the bone and makes the joint smooth and prevents them from rubbing against one another, but can break, when the cartilage gets ruptured due to which bones start rubbing with one another, and this may cause severe pain, swelling and stiffness in the knee joint. The evaluation for osteoarthritis detection includes a clinical examination, and different medical imaging techniques are X-RAY images and MRI scans. There is developing method required for classification frameworks that can precisely distinguish and identify knee OA from plain radiographs. In this method we have examining the strategy of computer aided diagnosis for early identification of knee OA. Based on the procedure of x rays through computer image processing, segmentation, feature extraction and investigation by means of building a classifier, a viable computer aided detection method for knee was made to help specialists in their precise, convenient and identification of potential risk of OA. For this method a total of 126 knee x ray image were collected for assessing the knee OA. In this paper, we tried to diagnose about the normal or abnormal detection of cartilage depreciation. The HOG and DWT features are extracted from X-ray images of the knee joints. The extracted features are classified with two different machine learning classifiers, namely the SVM and ANN Patternet classifiers, and the results are demonstrated. The SVM classification is good when compared with ANN and provides a satisfactory accuracy rate of 85.33%. At last the classifier was superior both in time effectiveness and classification execution to the regularly utilized classifiers based on iterative learning. In this way it was suitable to utilize as a computer aided tool for the diagnosis of OA.
IoT based Sensor Fusion Algorithm for Online Smart Health Monitoring
Authors:   Associate Professor in the department of Electronics and Communication Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai. India., Vijayalakshmi A , Abishek B Ebenezer ,   Assistant Professor in the department of Electronics and Communication Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai, Stephen C Arul ,   Assistant Professor in the department of Electronics and Communication Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai
Published: August 2019

Emerging Internet of Things technology plays the major role in modern healthcare not only for sensing but also in recording, communication and display results. The major role of an intensive care unit (ICU) is to improve patient health such as bringing about a change in the treatment or move the patient to a step-down unit etc. Monitoring also shows the extent of observance with a formulated standard of care. In ICU, care should be taken to monitor medical parameters, such as EEG, EMG, BP etc , continuously. In recent health care applications such as real time human health condition monitoring, patient information management etc, IoT technology brings convenience of general practitioner and human, since it is applied in various medical areas, the Body Sensor Network (BSN) is one of the main technology of IoT based medical applications, where a tiny smart and lightweight wireless sensor nodes are used for monitoring patient’s health condition. Hence, this paper proposes BSN integrated with IoT based sensor fusion algorithm to save human life those who are in critical condition. Sensor fusion algorithm is used to detect the criticality of the patient’s health condition and IoT technology is used for communicating information. The testbed has been developed using Rasberry Pi controller, EMG sensor,, BP sensor etc and tested. The tested results also analyzed.
Improvement of Power Quality in Multi-Terminal Hybrid Ac/Dc Microgrid by using Fuzzy Logic Controller
Authors:   PG research Scholar, E.E.E. Dept, JNTU Anantapur, AP, India., Gowd K.Sharmila , Gowd K.Jithendra ,   Assistant Professor, E.E.E. Dept, JNTU Anantapur, AP, India., Lakshmi D.Dharani ,   Ph.D research Scholar, E.E.E. Dept, JNTU Anantapur, AP, India
Published: August 2019

In this paper analysis of 3-Terminal and 5-Terminal hybrid(cross breed) micro grid using Fuzzy logic controller is proposed. The cascaded H-bridge interfaces between supply and DAB converter. The DAB(Dual Active Bridge) converter connects between cascaded H-bridge and load. By using Zero sequence voltage (ZSV) and inner current controller improvement in grid current and voltage balance are achieved. To boost the grid current and unbalance voltage, 49 ruled fuzzy controller based scheme is used. The analysis of the concept mainly deals with maintenance of power quality and uninterruption in power supply by tuning and Fuzzy logic controlling. The cascaded H-bridge hybrid micro grid with 3-terminal or 5 terminal would have better performance only if there is balanced voltage as well uninterrupted grid current. Fuzzy logic based controller performances are analyzed through simulation results.
Distributed Computing Engines for Big Data Analytics
Authors:   Griet, Assistant Professor,Dept of CSE, GRIET,, Prashanthi Bh. , Sowjanya G. ,   Griet, Assistant Professor,Dept of CSE, GRIET,, Madhuri D. Krishna ,   Griet, Assistant Professor,Dept of CSE, GRIET,
Published: August 2019

Technologies like cloud computing paved way for dealing with massive amounts of data. Prior to cloud, it was not possible unless you invest large amounts for computing resources. Now there is ecosystem which is conducive to storing and processing voluminous data that cannot be handled by local computing resources. With such ecosystem, big data technology came into existence. Big data is the data characterized by volume, velocity, veracity and variety. This has enabled enterprises to give more value to every piece of data. This in turn led to the increased usage of cloud for both storage and processing. For processing big data efficient technologies are required. New programming paradigm like MapReduce with Hadoop distributed programming framework is widely used. However, there are other emerging frameworks like Apache Spark and Apache Flink to handle big data more efficiently. In this paper, empirical study is made on the three frameworks like Hadoop, Apache Spark and Apache Flink with different parameters like type of network, block size of HDFS, input data size and other configuration changes. The experimental results revealed that Apache Spark and Apache Flink outperform Hadoop. This is evaluated with different benchmark big data workloads.
Philosophical Thought of Al-Farabi as Models of Establishing Civil Society in the Era of Technology Disruption
Authors:   Islamic Education Department, University of Muhammadiyah Gresik, Gresik, Indonesia., Sya’bani Muhammada Ahyan Yusuf , Rajiani Ismi ,   Economic and Bussines Department, University of Muhammadiyah Gresik, Gresik, Indonesia.
Published: August 2019

Islamic educational institutions or schools are educational institutions which have tersistem the first time in Indonesia before the Dutch introduced the school system. Their historical time interval that shows long-existence of Islamic educational institutions becomes a serious problem when Islamic education has not been able to produce human beings are ready to face the era of technology disruption (the industrial revolution 4.0) as it is today. The limited views on Islamic education is only concerned issues of religious materials, does not include a general matter, giving rise to the separation between Islamic educational institutions with general education institutions. So these problems, this study tries to introduce the conception of al-Farabi's philosophical thinking about civil society and Islamic education to address and provide solutions for the development of Islamic education in today's changing times is the era of technology disruption (the industrial revolution 4.0). This research method using descriptive qualitative method with historical-philosophical approach and heuristic data analysis, verification, interpretation, synthesis. The results showed the order of life of civil society perspective of al-Farabi will materialize if the community prefers aspects of teaching and character formation in the era of disruption technology (industrial revolution 4.0) in order to reach happiness essentials (happiness physical and spiritual), which became the main feature of a civil society. In the middle era of technology disruption (the industrial revolution 4.0) element of physical and spiritual happiness into the main thing that technology can be used wisely and optimally.
Design, Simulation and Fabrication of Multiband Antenna using HFSS
Authors:   Research Scholar, Andhra University, Guest Faculty, Department of Electronics and Instrumentation Technology, Acharya Nagarjuna University Guntur, India, Sharmila Smt. D. , Rao Dr. M. Purnachandra ,   Professor, Department of System design, Andhra University, Visakhapatnam, India., Subbarao Dr. P. S. V. ,   Assistant Professor, Department of Physics, Andhra University, Visakhapatnam, India., Bhavanam *Dr. S Nagakishore ,   Coordinator, Centre of Excellence in VLSI Design and Antennas, Asst. Prof., Department of ECE, Acharya Nagarjuna University Guntur, India.
Published: August 2019

Microstrip antennas are popular because of their low profile, light weight and low cost but narrow bandwidth and gain are the main disadvantages of this antenna. In this paper Multiband Octagonal Patch Antenna has been designed by ring slot technique for working in nine different frequencies presented in multi band C-band, X-band, Ku-band, K-band, Ka-band, Q-band and U-bands. Main applications of these bands are used in terrestrial microwave communications. In this research work, the performance of octagonal patch antenna operating at 7 different bands is analyzed. The Design methodology of the proposed research carried in 2 major modules. 1. Design of Single Octagonal Ring Slot antenna, 2. Design of Double Octagonal Ring Slot antenna. In the first design a single octagonal ring slot microstrip patch antenna is developed which resonates at six frequencies of five different frequency bands of C-band, Ku-band, K-band, Q-band and U-bands. In the second design a double octagonal ring slot microstrip patch antenna is developed which resonates at nine frequencies of six different frequency bands of X-band, Ku-band, K-band, Ka-band, Q-band and U-bands. The proposed antenna has been simulated by HFSS and measured by combinational analyzer.
Telugu Word Image Retrieval using Deep learning Convolutional Neural Networks
Authors:   Research Scholar, Dept. of ECE, University College of Engineering and Technology, Acharya Nagarjuna University, Guntur., Lakshmi Kesana Mohana , Babu Tummala Ranga ,   Dept. of ECE, RVR & JC College of Engineering, Guntur.
Published: August 2019

Telugu word image retrieval (TWIR) is a still challenging task due to the structure complexity of Telugu word image. An efficient TWIR system can be implemented by a holistic representation of word image that comprises of every possible extracted feature. Further, it is also required to retrieve more relevant word images even there is a noisy query word image. Here, it is proposed an efficient TWIR system that utilizes deep learning convolutional neural networks (DL-CNN) to extract the feature map from the query and database word images. In addition, principal component analysis (PCA) is employed to compute the principal features form the feature map and pairwise hamming distance is considered as a similarity metric to retrieve most relevant Telugu word images from the database. Extensive simulation analysis disclosed that proposed TIWR system obtained a superior performance over conventional TIWR systems in terms of mean average precision (mAP) and mean average recall (mAR).
Strengthened Layered Polymer-Knitted Films and Coatings
Authors:   Department of Technology and design of leather goods, Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Mirzayev Assoc. Prof. Nodir Baxodirovich , Rafikov Prof. Adham Salimovich ,   Department of Chemistry, Faculty Technology of the textile industry, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Maksudova Prof. Umida Mirzarahimovna ,   Department of Technology and design of leather goods, Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan
Published: August 2019

The article presents the results of a study of the properties of a new multi-layer reinforced composite material based on polyethylene and mesh knitted fabric. The physical and mechanical and operational properties of the reinforced polymer laminates depend on the type of raw material, the geometric dimensions and shape of the lumen of the mesh knitted fabrics, on the methods and modes of formation of the multilayer material.
The Teacherpreneur Character of Vocational High School Teacher In Indonesia
Authors:   Vocational Education, Yogyakarta State University, Yogyakarta, Indonesia., Mahendra Sena , Sofyan Herminarto ,   Vocational Education, Yogyakarta State University, Yogyakarta, Indonesia., Soenarto  ,   Vocational Education, Yogyakarta State University, Yogyakarta, Indonesia., Rohmantoro Didik ,   technology vocational education of automotive, University of PGRI Yogyakarta, Yogyakarta, Indonesia.
Published: August 2019

This study aims to analyze the teacherpraneur characters owned by vocational high school teachers in Indonesia. This research was conducted with a survey approach. The sample of 280 teachers selected by proportional random sampling. Data were collected by an open questionnaire and data were analyzed using quantitative techniques with the descriptive method. The results showed 37.5% of vocational high school automotive engineering teachers in Indonesia had a very good working attitude. 52.5% of teachers of vocational secondary schools in the field of automotive experts have a working attitude in the good category. 10% of vocational high school teachers in the field of automotive engineering have a fairly good working attitude, while in the poor and very bad category at 0%, and the result work motivation showed 15% of vocational high school teachers in automotive engineering expertise showed excellent work motivation. 22.5% of vocational high school teachers show good work motivation. 35% of vocational high school teachers showed good work motivation. 27.5% of teachers showed poor work motivation. while in the very poor category 0%.
Key Performance Index for Overall Substation Performance
Authors:   BHEL, Corporate Research & Development, Hyderabad, India., Prasad N.V.P.R. Durga , Radhakrishna Dr. C. ,   His Department Jawaharlal Nehru Technolgical Unviersity Hyderabad, India,
Published: August 2019

Performance of electrical distribution utilities depends on substations which are serving the end consumers. Consumer demands are mainly focused on the uninterrupted supply of quality power at low cost. These requirements are met by the effective and efficient operation of substations. Substations adopt various asset management strategies and effective maintenance management techniques to improve their overall performance to meet the utility level customer related targets. Focused index to measure the effectiveness these measures are required for performance monitoring and improvements. In the literature reliability based indices are proposed to measure the substation performance. These indices even though provide some insight to the overall substation condition, but do not provide the overall performance centric index depicting the operational (maintenance) effectiveness and efficiency of a substation. In this paper a new performance index called as Overall Substation Effectiveness (OSE) based on Total Productive Maintenance (TPM) and Overall Equipment Effectiveness (OEE) is presented for measuring the substation performance. OSE will provide such a data which enables the organizations to identify the opportunities for improvement in the process.
Retreat: Fuzzy Multi-Criteria Decision Making Based on Pros and Cons
Authors:   PG and Research Department of Mathematics, Loyola College, Chennai, India., Minj Ajay , Pathinathan T. ,   PG and Research Department of Mathematics, Loyola College, Chennai, India.
Published: August 2019

We introduce a new fuzzy multi-criteria decision making method using interval type-2 pentagonal fuzzy numbers. We propose to incorporate pros and cons of an issue to arrive at better decision. The necessary concepts and terminologies are defined. The proposed decision method consists of three stages. We use a prioritized interval type-2 pentagonal fuzzy aggregation operator to arrive at a tentative decision in the second stage. We use the existing concept of synthesis value and define a new suitable formula in order to accommodate fuzzy decision environment with pros and cons of an issue. A formula to combine the de-fuzzified pro-value and con-value of an alternative is proposed and the same is used to rank the alternatives. We further introduce concept of consolation score to align the final decision with the gut level of a decision maker. The fuzzy concepts such as fuzzy relations and fuzzy trace theory are employed to arrive at consolation score. This newly proposed fuzzy multi-criteria decision making method is a comprehensive and complete approach to a decision problem particularly concerning life-issues.
Personalized Dynamic Learning Plan Generator for Smart Learning Environments
Authors:   Research Scholar from School of Computer and Information Sciences, University of Hyderabad.., Anil G R , Moiz Salman Abdul ,   Assistant Professor at School of Computer and Information Sciences, University of Hyderabad.
Published: August 2019

Transition of traditional online learning towards the Smart learning environments requires adaptation of the smart features. Personalized assistance is one of the most required characteristic. Learning plans are important building blocks for any teaching learning paradigms. Often an instructor makes a learning plan keeping stakeholders into consideration. However in an online learning environment the stakeholders are not able to adapt to these static plans as there is no personalization involved. As a result there is a considerable increase in dropout rates. Hence there is a need for adaptive learning plans which aims for dynamic adjustment of schedules/learning plans that may help in successful completion of course. This paper presents an approach for dynamic learning plan generator and also proposes a revised Learning plan template to achieve personalized assistance in Smart learning environments. The responses of stakeholders on traditional learning plans and that of individualized dynamic learning plans are received. The response depicted that almost 90% of the stake holders feel that the adaptive learning approach aids in successful completion of the course along with improved motivation levels.
Power Quality Enhancement in Multi-Feeder Distribution System using Mf-Upqc Device
Authors:   Research Scholar, Department of Electrical and Electronics Engineering, Acharaya Nagarjuna University, Guntur, Andhra Pradesh, India, Rao N. Srinivasa , Rao P. V. Ramana ,   Professor & HOD, Department of Electrical and Electronics Engineering, Acharaya Nagarjuna University, Guntur, Andhra Pradesh, India
Published: August 2019

The significant usage of power semi-conductor devices in modern single or multi-feeder distribution system is increasing a lot in present situation. The non-linear characterization of power distribution is highly responsible for degradation of power-quality standards. The usage of large-sized non-linear loads provokes the harmonic pollution, voltage interruptions, voltage sag/swell issues are the key problems faced by distribution systems. Over the various compensation methodologies, the highly validated universal device is Unified-Power Quality Compensator. The multi-feeder universal devices play a prominent role and provide the attractive performance with improved characteristics in multi-feeder distribution system. In this work, Multi-Feeder UPQC device is used to compensate all voltage and current related PQ issues in multi-feeder distribution systems and also furnishes load-sharing between adjacent feeders, reduce the power-shortages, maximizes the stable performance. The performance evaluation of proposed MF-UPQC is verified under various case studies with the help of Computer-Simulation tool, results are validated with improved PQ features.
Taxation in the Context of Economic Security: Opportunities and Technologies
Authors:   Market Economy Institute of RAS (MEI RAS), Moscow, Russian Federation., Sayfieva Svetlana Nikolaevna , Shakhov Oleg Fedorovich ,   Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russian Federation., Nevmyvako Valery Pavlovna ,   Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russian Federation., Vysotskaya Nataliya Vladimirovna ,   National Research University Higher School of Economics (HSE), Moscow, Russian Federation; Russian University of transport (RUT (MIIT), Moscow, Russian Federation.
Published: August 2019

The aim of the present work is conducting the theoretical and legal analysis of threats and risks of tax security of the state, as well as developing on this basis measures to eliminate them and prevent their occurrence, improving methods of minimization, and neutralizing the possible consequences of their impact. To solve the set goal, the method of expert survey was used that allowed generalizing the concept of tax security, determining its economic, social, and legal nature, as well as defining the main risks and threats to the tax security of the state. The article substantiates the relevance of the study the issue concerning insurance of tax security of the state. Various approaches of scientists to the definition of the tax security concept essence were considered, which would satisfy the interests of all entities of tax relations. To determine the efficiency of tax administration to the benefit of the tax security, the main threats and risks of the tax security caused by external and internal factors are identified, as well as measures to eliminate them and prevent their occurrence are proposed. The authors propose the stages of tax risk management when constructing an effective system of tax security, as well as develop a structural and logical scheme of risk management of tax security of the state.
Optimal Design of 1200 kV UHV AC Transmission Lines in India using Newly Developed Standalone MATLAB GUI
Authors:   Department of Elect. Engg., School of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India, Vyas Kaustubh , Jamnani Dr. J. G. ,   Department of Elect. Engg., School of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India.
Published: August 2019

Owing to tremendous growth in requirement of electrical power in the country, technological advancement in transmission systems is essential for transmission of bulk amount of power over long distances. Deciding value of corridor width for transmission lines are greatly influenced by magnitudes of electric and magnetic fields along its length. The precise evaluation of the electromagnetic fields and effects of corona like Radio Interference and Audible Noise generated by overhead transmission lines are thus of greater interest. This paper presents implementation of a novel GUI based technique to compute the fields generated by power transmission lines using three dimensional techniques. Actual case of Ultra High Voltage AC (UHVAC) line is considered for study. Transmission lines are analyzed by using newly developed software that facilitates computation and plotting of electromagnetic fields and corona effects in 3D coordinates. MATLAB is used as platform for development of GUI based software to analyze the fields along the entire length of transmission lines under study. It uses concept of charge simulation method (CSM) along with most fundamental Maxwell’s potential coefficient theory and 3D integration techniques.
A Statistical Model for Automatic Error Detection and Correction of Assamese Words
Authors:   Department of Information Technology, Gauhati University, Guwahati, India., Bhuyan M P , Sarma S K ,   Department of Information Technology, Gauhati University, Guwahati, India.
Published: August 2019

Digitization of local languages is getting importance in the present scenario and the Language Processing task is also becoming popular among the Linguistic and IT people. It is very common that most of the people are comfortable with their native mother tongue. Writing of corrected word-form is also an important task in the digital platforms for the future existence of a language. In this research work, the Assamese language is taken as a Natural Language which is processed in the experiments. The Assamese language is one of the Indian languages and the research & development of the Assamese language is going on; from the computational point of view, Assamese is in the development phase. In Assamese, there are some similar characters which are phonetically same but their glyphs are different these characters or symbols often cause confusion to the users while writing, these types of characters are specially taken into consideration in this research work. A list of 14 confusing characters pairs of Assamese letters is taken for experimental purpose. In addition, this research work has focused on errors of Assamese words, which are checked by using bigram and trigram models. Moreover, the proposed model also tries to find the erroneous character which causes the incorrectness and shows the suggestions for that incorrect character. A score based system is designed for the Assamese characters and each character is assigned a score from their probability of occurrences by using bigram and trigram language models. Different types of experiments are performed to check the correctness of the Assamese words and the proposed model is able to check the correctness of the Assamese word with accuracy ranging from 81% to 86%. Error rate in Assamese can be reduced by using this model in any digital platform where a user can type in Assamese.
Jurisprudencia en contra del maltrato animal y su aplicabilidad sobre la tauromaquia
Authors: Castaño Bolívar Jessica
Published: August 2019

El maltrato animal es una de las problemáticas más llamativas dentro de la sociedad, y aunque está legislada, los animales aún siguen en una desprotección continua; a pesar de ser un tema con bastante abordaje, las leyes poseen muchas contradicciones que dejan sin validez alguna a otras leyes, como lo es el claro ejemplo de la Ley 84/89 con la Ley 1774/16 que, debido al arraigo cultural desprotege el bienestar taurino. Acercándonos a los objetivos de este proyecto, uno de ellos es convalidar si la Ley 1774/16 tiene eficacia y aplicabilidad sobre el maltrato taurino; y respecto a la Ley 84/89, su aplicabilidad y sus deficiencias como tal. La metodología usada en este proyecto es un enfoque cualitativo con un alcance descriptivo, usando como fuentes los libros, la web y la jurisprudencia que se ha generado a través del tiempo. Los resultados más importantes e impactantes que se hallaron dentro de la investigación fue que la Ley 1774/2016 no tiene aplicabilidad ni eficiencia alguna respecto a la tauromaquia, porque la Ley 84/89 la deja sin validez respecto a su artículo 7, donde se recita que la tauromaquia no es crueldad animal porque es cultural, tiene un “ arraigo cultural” y esto interfiere gravemente para lograr algún día una prohibición, puesto que en Colombia y muchos países todavía no están dispuestos a vencer esa tradicionalidad; el municipio de Zapatoca venció este arraigo cultural y finalmente prohibieron las corridas de toros para darles una vida tranquila y digna a estos seres sintientes.
Los modelos curriculares en la construcción de iniciativas para el mejoramiento de la calidad de la educación
Authors: Bedoya Carmona John Jairo , Sanmartín Sanmartín Andrés Felipe
Published: August 2019

Los modelos curriculares tienen su auge en los sistemas educativos en el siglo XX, es cuando surge la inquietud por generar o desarrollar programas y planes educativos de forma organizada y consecuente, a fin de consolidar propuestas de educación encaminadas a la formación integral del ser. De esta forma, se observa que han sido muchos los estudios que se han realizado sobre el currículo, y de estos han surgido diferentes modelos que se plantean retos en virtud de motivar un proceso de enseñanza-aprendizaje idóneo que pueda responder a las exigencias del medio y, sobre todo, a las necesidades de las personas que pretende formar para la vida. Esta constante iniciativa por optimizar la educación ha hecho latente el mejoramiento continuo de los procesos de formación a través de la llamada calidad educativa, aspecto que ha favorecido la revisión de las relaciones entre docentes y estudiantes, a fin de conocer cómo interactúan estos agentes y también cómo construyen el sentido de la educación a través de la vivencia y aplicación de los aprendizajes en la vida cotidiana. Estas propuestas curriculares han tenido dificultades respecto a las tensiones sociales, económicas, políticas y culturales que surgen en cada Estado, sin embargo, la educación como proceso en vez de declinar su iniciativa de formación integral ha buscado retomar de estas situaciones críticas aspectos que le han ayudado a sacar provecho para consolidar nuevas propuestas curriculares, con el objetivo de formar en la resiliencia y en la capacidad creativa, crítica y reflexiva, actitudes que favorecen el cultivo de proyectos de vida responsables.
Valor pedagógico, simbólico e histórico de los bustos de los próceres de la patria, avenida la playa - Medellín
Authors: Baena Valencia Adrián Alfonso , Pérez Vélez Paula Andrea , Galeano Ruiz Juan Alberto , Muñoz Palacio Juan Diego
Published: August 2019

Se evidencia la necesidad que existe en Medellín, y posiblemente en Colombia, de sumar a las expresiones culturales, específicamente para este caso los bustos de la Avenida La Playa, el contenido histórico que avala el sentido social, político y cultural de los mismos. Pero en sí el principal motivo es generar en la conciencia de los habitantes del territorio en que se encuentran dichas obras, un sentido de pertenencia sobre Patrimonio Cultural y la importancia de su conservación como legado de un país que vela por resaltar los valores culturales y la diversidad étnica. El eje de este texto, es el componente legal de la investigación, que pretende sentar las bases legislativas que den pie a una resolución de carácter municipal, por medio de la Secretaría de Educación de Medellín y de la Secretaría de Educación de Antioquia, para regular nuevamente la Ley General de Educación 115 y el Decreto 1860, no solo en la carga académica, sino en el pénsum mismo, para convertir en obligatorio el resurgimiento de la asignatura de historia nacional, construyendo memoria colectiva y sentido de pertenencia en las nuevas generaciones.