bluuebunny/crossref_metadata_2025 huggingface dataset:
BER Evaluation in LTE SC-FDMA under Multipath Channels
Authors:   Department of Computer Information System, Near East University, Nicosia TRNC, Mersin 10, Turkey, Ebadinezhad* Sahar , Hasan Saddam ,   Department of Electronic and Electrical Engineering, Cyprus International University, Lefkoşa, via Mersin 10, Turkey
Published: December 2019

Channel equalization is very essential step in Single Carrier Frequency Division Multiple Access (SC-FDMA) transmission for overcoming the inter-symbol interference (ISI). Also, to evaluate the data-link and network scheduling of LTE technique, a particular channel modelling is crucial. Due to the techniques’ complexity and requirement of high bandwidth for data transmission in literature, we motivated to perform a comparative analysis for BER reduction in SCFDMA scheme with and without equalizer. Therefor, in order to enhance efficiency of performance and functionality of network application, due to huge demand for lower delay, latency and higher speed by the modern users, BER reduction is a significant factor for enhancing signal quality. The substantial focus of this research is to improve the uplink signal of LTE technology by using two type of linear equalization methods such as zero forcing (ZF) and minimum mean square error (MMSE) at receiver part. Moreover, analysis of BER and SNR for SC-FDMA systems are obtained under several channel models and two different sub-mapping. This evaluation is performed for SC-FDMA in uplink by aid of adaptive modulation techniques like QPSK. Finally, for evaluating the channel equalization efficiency with SC-FDMA and for investigating the response of an uplink transmitter, MATLAB framework, is applied in this study. The results reveal that PAPR reduction does not have significant impact on BER performance.
Robust Copy-Paste Detection Algorithm using SIFT for Digital Image Forensics
Authors:   Assistant Professor, Manav Rachna International Institute of Research and Studies, Faridabad, NCR, India., Monika*  , Bansal Dipali ,   Associate Dean - Academics with Manav Rachna International Institute of Research and Studies, Faridabad, NCR, India.
Published: December 2019

Forensics of images verifies the authenticity of digital images. Because of the easier availability of software, manipulation of images has become quicker and easier. Image composition, copy-paste, multiple cloning, splicing, etc have become a common practice. The paper proposes a robust algorithm for the detection of duplicity using Scale Invariant Feature Transform (SIFT) approach. Copied location of an image is occasionally pasted in another place of the identical image or in another image, which creates difficulties in detecting the copy-paste region and identifying the located region as well as creates inefficiency in the accuracy of forgeries. We developed an approach that shows improved techniques through runtime optimizations and compared various parameters with existing methodologies in order to obtain highly correlated image areas for detecting the manipulated regions. The proposed approach can detect copy-paste forgeries effectively with high accuracy, reliability, and inconsistencies regardless of the test scenario.
Seismic Behavior of Mid-Rise Precast Reinforced Concrete Building with Effect of Joints and Supports
Authors:   Master’s Student, Structural Engineering, Anurag Group of Institutions (An Autonomous Institution), Venkatapur, Hyderabad, Telangana, India., Iqbal* Shaibaz Bin , Narender Dr. B. ,   Associate Professor, Structural Engineering, Anurag Group of Institutions (An Autonomous Institution), Venkatapur, Hyderabad, Telangana, India.
Published: December 2019

Precast concrete structures are widely used in construction. It consists of prefabricated elements casted in industry and connected to each other to form a homogeneous structure. Connections function is to transfer moments and axial forces. Many engineers assume precast connection as pinned, but in reality, they are semi-rigid connections that transfer forces to other members. Lack of design and detailing of connection leads to improper behaviour of the structure, which then leads to the collapse of the building. Past earthquake studies show that many precast buildings performed poorly, and the main reasons were connections. This paper mainly focuses on understanding the seismic behaviour of mid-rise i.e seven-storey precast reinforced concrete buildings with various beam-column joints i.e rigid, semi-rigid, pinned and column-base supports i.e, fixed and hinged supports. Building is modelled and analyzed using ETABS v17 software. Rotational stiffness of precast billet connection is adopted for modelling of semi-rigid beam-column connections. Response spectrum and modal analysis are carried out. Results of displacements, storey drift, storey shear, storey stiffness, base shear, time periods and first mode shapes of models are discussed. It is observed, precast reinforced concrete building models with semi rigid connection performs better than building models with pinned connections and building models with fixed supports reduces the structural response to a great extent.
Crop Disease Detection and Monitoring System
Authors:   Professor in the Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli., India., Priya* L.R. , Rajathi* G. Ignisha ,   Assistant Professor, Department of Computer Science and Business Systems, Sri Krishna College of Engineering and Technology, Coimbatore, India., Vedhapriyavadhana Dr. R. ,   Professor in the Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, India
Published: December 2019

Plants are liable to diseases that affect the growth of the plant, which successively affects the economy of the farmer. The symptoms of plant diseases are discernible in parts of a plant such as leaves, stem. Using an automatic disease detection system helps in early-stage detection and allows to treat the plant, thus preventing loss of crop. So, in our proposed system, we have introduced a crop disease detection and monitoring system. Disease detection is done using K-means clustering. Other subsystems include periodic monitoring of the temperature, humidity and soil moisture content. Based on the input of the soil moisture sensor, the motor is switched on and off for watering the plants. The actions taken are recorded and sent as a message to the farmer using the Wi-Fi Module.
Smart Navigation of Vehicles using RFID in Remote Environments
Authors:   Professor, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India., Jagadeesan* Dr. J. , Azhagiri M ,   Assistant Professor, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India., kumar L Yogesh ,   Student, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India., GR Jaya Dinesh ,   Student, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India., Sivam S Shanmuga ,   Student, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India.
Published: December 2019

Vehicles are one of the most important sources of transport and the number of vehicular deaths occurring in hill stations is increasing day by day. The main focus of this work is finding a feasible initiative using RFID technology for effective navigation with maximal safety and minimal risk in exceptional road conditions, which may be due to weather, climatic conditions or geographical locations. The hairpin bends and steep turns in hill station roads is a major cause of accidents. To prevent any untoward incidents, we propose to use the RFID (radio frequency) tags and detectors to alert the driver of the incoming turn or bend some 100 meters before the turning point. The RF tag will alert the driver in the form of an LED signal. Acceleration which is in a fixed coordinate system makes sure any changes in the angle are indicated by the accelerometer sensor connected to the Arduino. An LCD is connected to the Arduino which displays the sea level, left and right turn as text with the turning angle. Also, the buzzer attached to the Arduino gives a sound alert. In this paper, we will focus primarily on avoiding accidents and road crashes in hill stations and remote environments by making use of RFID technology
The Effect Of Internal Control System, Leadership Style And Compensation System Toward Fraud Prevention
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Handoko* Bambang Leo , Lindawati Ang Swat Lin ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Jennifer  ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia
Published: December 2019

In internal control, one of the elements is the control environment, where in the control environment there is the term strong tone at the top. This term means that when a leader can lead well and become a role model for his subordinates, then it can strengthen internal control and prevent fraud. One of the causes of fraud is suspected is employee dissatisfaction with the company. Things that are sensitive to employees are payroll or compensation issues. The purpose of this study was to determine the effect of internal control systems, leadership styles and compensation systems on fraud prevention. This research was conducted at Pulp and Papers Company; which is engaged in oil palm using quantitative methods and questionnaire data collection techniques. This research was given to 235 respondents. Data processing is performed using the SPSS program by using several types of tests. The results of this study indicate that the internal control system does not influence while the leadership style and compensation system can influence fraud prevention. On simultaneous test, we have result that of the three variables x influence fraud prevention.
Relationship between Organizational Effectiveness and Its Predictors among IT Sector
Authors:   Research scholar, ACCF, Amity University, Noida, Uttar Pradesh, India, Reetu  , Yadav Dr. Anshu ,   Amity Business School, Amity university, Noida, Uttar Pradesh, India, Redhu Dr. Kulbir ,   C.R. Kishan College, Jind, Haryana
Published: December 2019

In modern scenario, human resource practitioners have been showing great concern for assessing the factors enhancing employee’s commitment towards organization. Since, dedicated and devoted employees can only facilitate the organization to attain heights of effectiveness. The current research study was carried out to access the factors enhancing effectiveness of organization along with the mediating effect of organizational commitment. The effect of job satisfaction and organizational climate on effectiveness was assessed considering commitment as a mediating variable. Adjusted structured questionnaires were used for evaluating these variables. 581 respondents from IT sector were approached for collecting the data. SEM was applied for examining the model fitness and mediating effect of commitment on effectiveness. It was revealed that both job satisfaction (β=.18, p=.001) and organizational climate (β=.11, p=.007) were positively associated with effectiveness. When organizational commitment was introduced into the model as mediator it was found that the above mentioned relationships become insignificant. Organization commitment fully mediates the relationship between job satisfaction and effectiveness (β=.01, p=.85) and organizational climate and effectiveness (β=.08, p=.054). This research work has essential implication in decision making by human resource development in IT sector. Proper strategies should be defined by the management for achieving job satisfaction and favourable organizational climate considering the moderating effect of commitment, which finally leads to organizational effectiveness.
Field-Plate Geometry Dependent Electrostatics and Strain Mapping in AlGaAs/GaAs HEMTs
Authors:   Department of EICE, Siksha O Anusandhan (Deemed to be University), Bhubaneswar, India, Nanda* R. K. , Dash T. P. ,   Department of EICE, Siksha O Anusandhan (Deemed to be University), Bhubaneswar, India.
Published: December 2019

GaAs based power transistors provides higher switching speed compared to conventional Si transistors. The high electron mobility transistors (HEMTs) with AlGaAs/GaAs have got recent attentions for alternative suitable candidate for high frequency operation. The primary focus of the work is to study the electrostatics and stress/strain profile mapping due to the presence of field plate in AlGaAs/GaAs high electron mobility transistors. Using TCAD simulations, we examine the stress strain profile mapping as a function of field plate geometry and also study the electrostatics as function of field plate geometry and applied electric field.
Behavior of Self-Supporting Communication Tower under Horizontal Loads
Authors:   Assistant Professor, Kongu Engineering College, Erode, Tamil Nadu, India., P* Ravichandran , M Suriya ,   PG Student, Kongu Engineering College, Erode, Tamil Nadu, India., M Anandkumar ,   PG Student, Kongu Engineering College, Erode, Tamil Nadu, India.
Published: December 2019

Communication towers have been traditionally designed for wind load. The earthquake load has not been observed in the analysis of the communication tower. Recent earthquakes, there have been indications of collapse to the communication tower. Due to the complex nature of the problem, there is a lack of research work in the area of analysis of the communication tower. The purpose of this research is to test the communication tower's response to earthquake ground movement to determine the current design software methodology. The effect of earthquake ground motion spatial variation on multi-support structures dynamic response may be necessary. The aim of this project is to use the traveling wave assumption to investigate the seismic response of high antenna-supporting guyed towers. The horizontal component of the Bhuj earthquake is considered as excitation. Elements of response analyzed are cable tension, base shear, mast axial force and lateral displacement of the tower tip. Parametric analyses show that the structural response tends to increase as the amplitude of the wave decreases and can become much larger than the reaction from synchronous excitation.
Consumers’ Preference and Their Buying Choice
Authors:   Research Scholar, Bharath Institute of Higher Education and Research, Chennai, India., Ramachandran* S. , Basariya S. Rabiyathul ,   Associate Professor, Lebanese French University, Erbil, Iraq.
Published: December 2019

Today’s consumers are too smart to buy their needs through various means. But before buying their needs, they go through various online sites and social media review about product performances and price. While surfing this information they can able to evaluate its real value and price advantages, since online establishment need not spend cost for showroom with staff. Consumers need not roam here and there to various shops to evaluate the product performance and its cost. Moving from one place to other is tedious journey and time-consuming part. It is also difficult to ensure their required models are available or not. Moreover, consumers can view forthcoming new models in the manufacture’s site whereas these details may not be shared in showrooms. Earlier accessing internet is complicated and needs a system to view. Now this can be accessed through smart phone. The prices of smart phone were also drastically lowered. After the entry of Jio network, the cost of one GB data were brought down to Rs 15/to Rs 20/- from Rs 250/-. This could be an affordable price for the common people. With the above improvements, the smart phone usage in the country has increased and every smart phone user are in a habit of surfing the internet or interacting in the social media now and then. While so, everybody can be able to see the various products in the online markets and its review. This will provoke the user to buy the products through online. In America ToySaras and BabySaras, retail showrooms of baby products were forced to close during 2018, since most of Americans preferred to shop through online and few other retail shops are in the same stage of closing. The above situation may also be aroused to Indian Market in the near future. To know the objective of the consumers’ preference and their choice, customers’ voice obtained through survey may be helped to us and its findings may help the online marketers to fine tune their strategies accordingly.
3335 Retrieval Number: D8118118419/2019©BEIESP DOI:10.35940/ijrte.D8118.118419 Journal Website: www.ijrte.org Published By: Blue Eyes Intelligence Engineering & Sciences Publication A Model for Accurate Prediction of Child Immunization Data for Knowledge Discovery using Bayesian TAN and Naive Bayes Classifiers
Authors:   Department of Computer Science & IT University of Jammu, Sourabh*  , Mansotra Professor Vibhakar ,   Department of Computer Science & ITUniversity of Jammu
Published: December 2019

Knowledge Discovery in Databases (KDD) is a splendid methodology of discovering knowledge from gigantic databases by using its various stages viz. Data Selection, Data Preprocessing, Data Transformation, Data Mining and Interpretation/Evaluation. Data Mining is a vital sub-process of KDD methodology that is particularly used to apply the various mining algorithms on the data. In the present research paper, the authors have made an attempt to discover new knowledge by classifying the child immunization data of Jammu and Kashmir State of India. The data for the present work was collected from a web portal named as Health Management Information System (HMIS) facilitated by Ministry of Health and Family Welfare (MoHFW), Government of India. The data consists of diverse health parameters pertaining to the immunization of children and for the present study, the child immunization data of all districts of Jammu and Kashmir State was considered. Two classifiers viz. Bayesian TAN and Naïve Bayes were employed for classifying the districts of Jammu and Kashmir State into High IMR and Low IMR districts based on the available past data from 2014 to 2018. Additionally, various measurement methods have been used to evaluate the performance of the models developed by Bayesian TAN and Naïve Bayes.
Optimized Traffic Management for Improving Energy Efficiency in Cognitive Network
Authors:   Bachelor of Engineering degree, Electronics and Communication, GRKIST, Jabalpur., Verma* Mr. Shobhit , Raina Dr. Vikas ,   Assistant Professor, CSE department , Mody University
Published: December 2019

The overhead of a particular node in the network depends on its position with respect to packet forwarding capability and total number of nodes in direct contact. In cognitive radio network, the primary user detection and spectrum sharing mechanism consist of two phases which constitutes the sensing mechanism as first phase and second phase of spectrum allocation along with finalization of end to end route of communication. The base idea of route establishment is derived from AODV protocol while proposing the traffic aware route establishment mechanism. The established route by using simple AODV has lots of limitations such as common router selection in multiple routes due to its direct being in range scenario.The proposed method shows significant improvement in energy efficiency due to reduction in overall overhead based on dual valued information exchange based route establishment mechanism. The results obtained thorough simulations show better improvement in the energy efficiency.
Fuzzy Tsukamoto based Decision Support Model for Purchase Decision in Pharmacy Company
Authors:   Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Ramadhan* Guroh Kharisma , Utama Ditdit Nugeraha ,   Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Published: December 2019

The difficulty in determining a number of item purchased is one of essential activities in inventory management. This study scientifically proposes a decision support model to decide how much number of next item purchased by a pharmacy company. The main objective of the developed model is to control a minimum stock at a certain time and condition and support in making the decision on how many items should be purchased at next time. Decision support model considers two independent parameters; lead time and stock. Tsukamoto’s fuzzy system is functioned in this study to avoid blurring parameter values from someone making a decision. Each criterion is divided into three membership functions; with nine fuzzy-rules used. The model also supports changing parameters if parameter values are changed. Based on the results of model test done, the optimized number of item purchased at the Pharmacy Company is able to be proposed practically.
Business Scaling using the Latest Marketing Tools
Authors:   Department of Marketing and Business Administration, Odessa I.I. Mechnikov National University, Odessa, Ukraine, Sadchenko* Оlena , Yakymyshyn Liliya ,   Industrial Marketing Department, Ternopil Ivan Puluj National Technical University, Ternopil, Ukraine, Kovalchuk Svitlana ,   Department of Marketing and Trade Entrepreneurship, Khmelnytsky National University, Khmelnytsky, Ukraine, Chernenko Daryna ,   Accounting and Auditing, V. N. Karazin Kharkiv National University, Kharkov, Ukraine, Zaitseva Anna ,   International Economic Relations named after Arthur Golikov, Kharkiv National University named after V.N. Karazin, Kharkov, Ukraine, Dudnyk Alla ,   Department of Management, Dnipro University of Technology, Dmytro Yavornitskogo avenue, Dnipro, Ukraine
Published: December 2019

In business, development is the key to success. If a company stands still, larger competitors will quickly lure all its customers. To prevent this from happening, the enterprise is being expanded, that is, it is scaling up the business. The article displays the prerequisites for scaling, the main ways, as well as what is necessary for expanding the business. A special role in scaling is played by modern marketing tools and automation of business processes. The article discusses how to simplify the strategy of scaling a business with the help of automation and the latest marketing tools.
Interrogation of Sentiment Perusing With Hash Counting Vectorizer and Term Inverse Frequency Transformer Using Machine Learning Classification
Authors:   Research Scholar, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Rao* Kota Venkateswara , Devi M. Shyamala ,   Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India.
Published: December 2019

With the fast growing technology, the business is moving towards increasing their profit by interpreting the customer satisfaction. The customer satisfaction can be analyzed in many ways. It is the responsibility of the business to analyze the customer satisfaction in order to improve their turnover and profit. With the current trend, the customers are giving their feedback through mobile and internet. With this overview, this paper attempts to analyze the sentiment of the customer feedback for the movie. The sentiment Analysis on movie Review dataset from the KAGGLE Machine learning repository is used for implementation. The type of sentiment classes is predicted through the following ways. Firstly, the sentiment count for each class is displayed and the top feature words for each sentiment class are also extracted from the dataset. Secondly, the dataset is sampled with counting vectorizer and then fitted with the classifiers like Logistic Regression Classifier, Linear SVM Classifier, Multinomial Naives Bayes Classifier, Gradient Boosting Classifer, Guassian Naive Bayes Classifier, Random Forest Classifier, Decision Tree Classifier and and Extra Tree Classifier. Thirdly, the dataset is sampled with Hashing vectorizer and then fitted with the above specified classifiers. Fourth, the dataset is sampled with TFIFD vectorizer and then fitted with the above specified classifiers. Fifth, the dataset is sampled with TFIFD Transformer and then fitted with the above specified classifiers. Sixth, the Performance analysis of classifiers is performed by analyzing the metrics like Precision, Recall, Fscore and Accuracy. The implementation is carried out using python code in Spyder Anaconda Navigator IP Console. Experimental results shows that the analysis of sentiment done by the random forest classifier is found to be more effective with the Accuracy of 89% for Counting vectorizer and TFIFD transformer, Accuracy of 87% for Hashing vectorizer and Accuracy of 88% for TFIFD vectorizer.
Characterization of a Mobile Waste-Robot: A Heuristic Method to Path Planning using Artificial Neural Networks
Authors:   Ph.D., Director of Quality Assurance and Assistant Professor, Electronics Engineering Technology, Technological University of the Philippines, Manila, Philippines., Corpuz Ralph Sherwin A.
Published: December 2019

In the field of mobile robotics, path planning is one of the most widely-sought areas of interest due to its nature of complexity, where such issue is also practically evident in the case of mobile robots used for waste disposal purposes. To overcome issues on path planning, researchers have studied various classical and heuristic methods, however, the extent of optimization applicability and accuracy still remain an opportunity for further improvements. This paper presents the exploration of Artificial Neural Networks (ANN) in characterizing the path planning capability of a mobile waste-robot in order to improve navigational accuracy and path tracking time. The author utilized proximity and sound sensors as input vectors, dual H-bridge Direct Current (DC) motors as target vectors, and trained the ANN model using Levenberg-Marquardt (LM) and Scaled Conjugate (SCG) algorithms. Results revealed that LM was significantly more accurate than SCG algorithm in local path planning with Mean Square Error (MSE) values of 1.75966, 2.67946, and 2.04963, and Regression (R) values of 0.995671, 0.991247, and 0.983187 in training, testing, and validation environments, respectively. Furthermore, based on simulation results, LM was also found to be more accurate and faster than SCG with Pearson R correlation coefficients of rx=.975, nx=6, px=0.001 and ry=.987, ny=6, py=0.000 and path tracking time of 8.47s.
The Efficiency Of Personnel Management using Motivation Modern Methods
Authors:   Department of Management and Entrepreneurship Institute of Service and Entrepreneurship (branch) DSTU in the city of Shakhty, Shakhty, Russia., Bugaeva* Marina , Buryakov Stepan ,   Department of Management and Entrepreneurship Institute of Service and Entrepreneurship (branch) DSTU in the city of Shakhty, Shakhty, Russia., Vassilieva Ksenia ,   Department of Private Law, The State University of Management, Moscow, Russia., Zaytseva-Savkovich Ekaterina ,   Department of Public Law and Legal Support of Management, Institute of Public Administration and Law, State University of Management, Moscow, Russia., Satsuk Tatyana ,   Head of the Department of Accounting and Audit, Emperor Alexander I St. Petersburg State Transport University, Russia.
Published: December 2019

The article presents the main methods of increasing the efficiency of personnel use using motivational tools. The main task of the head of any enterprise is to inspire its employees to perform production tasks, achieve the main goals of the enterprise. In addition to incentives, bonuses, bonuses, non-material incentives for personnel are also used, which is an equally effective tool. The effectiveness of managing enterprises and organizations largely depends on the state and effectiveness of the motivation system for their employees. The formation and development of the motivational system in the enterprise will significantly reduce the level of conflict in the team, increase the level of self-organization and self-government, and, consequently, increase the overall effectiveness and profitability of the enterprise. The goals can be achieved through the formation and progressive improvement of the system of motivation for the personnel of the enterprise, focused on ensuring a high quality of working life of people, which determined the relevance of the chosen topic of work.
Automation and Enhanced Service Delivery through Process Improvement in Hospitality Industry
Authors:   Assistant Professor (S.G), School of Management, HITS, Chennai, India., Aarthy.C Catherene Julie , Badrinarayanan Dr.M.K. ,   Assistant Professor (S.G), School of Management, HITS, Chennai, India.
Published: December 2019

Automated technology is revolutionizing the service industry and is a necessity in order to provide quality service. There are several ways in which hotels can incorporate the use of automated processes to improve service delivery, efficiency to customers and profit to the organization.Many areas in the hotels are explored for automation to analyze the role played by it. This study was pursued to understand the perspectives of operational heads who are implementing automation hands-on, which is important for the success of automation for enhanced service delivery through process improvement. About 30 senior executives from different categories of star hotels who handle day to day operations were selected and a semi structured questionnaire was administered. The findings indicate that there is a high prevalence of usage of function based software’s that has resulted in process improvement, customer outreach through GDS, increased revenue and enhanced service delivery. However challenges prevail in the areas like front office areas where there is a high level of personal interaction with customers. There is a positive perception about automation, but training and customization have been indicated as key for success.
Determination of Surface Roughness Throughout CNC Turning of ASTM 316 Steel Expending Taguchi Method
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology (VSSUT) Burla (A Government Technical University)., Swain* Shweta Siktta , Kund Dr. N. K. ,   Associate Professor in the Department of Production Engineering, VSSUT Burla (A Government Technical University).
Published: December 2019

Plan of experiment involving Taguchi method got developed and executed to gauge impact of various machining variables (V, F and D) on surface roughness throughout CNC turning of ASTM 316 steel using coated carbide insert. Research findings through different mathematical analyses provided the effective guideline for choosing appropriate machine settings to realize surface roughness within the recommended range during stated turning operation. Ideal machining situations got determined to minimize the surface roughness (here surface roughness factors Ra with Rz) in turning of the same. Feed remains observed as paramount momentous variable for workpiece surface roughness. Furthermore, cutting speed remains observed as subsequent paramount momentous variable for workpiece surface roughness. Additionally, depth of cut remains observed as least paramount momentous variable for workpiece surface roughness, Rz only, however, depth of cut got absolutely insignificant impression on Ra. Present investigation clearly reveals that multicoated carbide inserts performed splendidly at optimal machining variables combination of V = 150 m/min, F = 0.10 mm/rev with D = 0.4 mm. Calculated ideal limit of sample surface unevenness, Ra and Rz are 0.16 μm ≤ Ra ≤ 0.52 μm and 1.4 μm ≤ Rz ≤ 3.1 μm, respectively. Moreover, surface roughness, Ra is also within stipulated precarious limit of 1.5 μm (i.e. Ra < 1.5 μm) for turning with coated carbide inserts.
Assessing the Level of Enterprise Reengineering in the Context of Global Digitalization
Authors:   Department of Cyber Security and Social Sciences, State University of Banking, Kyiv, Ukraine., Chmeruk Halyna , Tokar* Volodymyr ,   Department of International Finance, Faculty of International Economics and Management, Kyiv National Economic University named after Vadym Hetman, Kyiv , Ukraine., Sybyrka Liudmyla ,   Department of Enterprise Economics and Personnel Management, Faculty of Economics, Chernivtsi National University named after Yuriy Fedkovich, Chernivtsi, Ukraine, Shaposhnik Olena ,   Department of Advanced Mathematics, Kyiv National economical University named after Vadym Hetman, Kyiv, Ukraine., Melnyk Olga ,   Department of Advanced Mathematics, Kyiv National economical University named after Vadym Hetman, Kyiv, Ukraine.
Published: December 2019

A simulation of the level of re-engineering organization is presented on the example of a selected group of four enterprises. It is assumed that in the conditions of the experiment there is an occurrence of an event of effective re-engineering in the field of financial relations of enterprises forming a complete group of independent events - incompatible hypotheses of quantitative and qualitative measurement of the statistical likelihood of relevant indicators of experimental events in the organization of enterprise re-engineering. The probabilities of full group events were determined using an expert evaluation matrix by the principle of pairwise comparison of the importance of each event using a 5-point scale of intensity of significance of the items in the hypothesis group. The conditional probabilities of quantitative and qualitative measurement of the statistical probability of relevant indicators in the plane of action of the factors of influence on the organization of re-engineering of the enterprise are established. The formula of full probability presents the visualization of the dynamics of the level of organization of reengineering in financial relations of enterprises in the conditions of global digitization in four time intervals since 2012. by 2019. It has been proven that the reengineering process remains an effective tool for companies seeking to operate in a competitive world; companies are required to re-engineer their business processes to deliver breakthrough results and a long-term strategy for company development.
High-speed Integration of Kinect V2 Data for Identification of Hand Gesture in Real time Movements
Authors:   Ph.D. Scholar, Bapurao Deshmukh College of Engineering Sevagram Wardha, Maharashtra State-442102, India., Sekhar* S.Chandra , Mhala Dr. N.N. ,   Professor&Principal,Government Polytechnic College. Thane, Maharashtra State, India.
Published: December 2019

Hand gesture recognition is extremely critical for human-PC connection. This manuscript presents a narrative constant strategy for human-hand gesture recognition. Here a framework for the discovery of quick gesture movement by utilizing a direct indicator of hand developments utilizing information combination technique. In our system, the hand area is removed from the foundation with the foundation subtraction strategy. At long last, the framework has been approved by methods for the Kinect v2 application actualized. The time requirement is recognized and the recognition is quick contrasted with other ongoing minutes. The timing analysis is compared , and the average time using data fusion method [1] is 63ms. By using fast integrating of data the average time is 45ms. The time taken for recognition of hand gesture is been improved. The experimental results are performed using Matlab tool.
GERAKAN LITERASI SEKOLAH: IMPLEMENTASI TAHAP PEMBIASAAN DAN PENGEMBANGAN LITERASI DI SD SUKOREJO KEDIRI
Authors: Hastuti Sunu , Lestari Nia Agus
Published: December 2019

ABSTRAK

Penelitian ini berupaya untuk mendeskripsikan informasi tentang implementasi Gerakan Literasi Sekolah di SD Sukorejo Kecamatan Gurah Kabupaten Kediri khususnya pada tahap pembiasaan. Jenis penelitian yang digunakan adalah deskriptif kualitatif dengan sumber data yakni Kepala Sekolah, Guru Kelas dan siswa. Metode pengumpulan data pada penelitian ini adalah melalui observasi, wawancara dan dokumentasi. Sedangkan teknik analisis data melalui tiga tahap yakni data reduksi, penyajian data dan verifikasi data. Hasil penelitian menunjukkan bahwa di SD Sukorejo Gurah Kediri, penerapan literasi masih sampai pada tahap pembiasaan. Upaya sekolah untuk menggiatkan gerakan literasi adalah dengan cara membiasakan membaca buku non pelajaran 15 menit sebelum kelas dimulai, menata lingkungan yang mendukung literasi dan melibatkan mitra dalam pelaksanaan kegiatan literasi. Terdapat beberapa hal yang menjadi faktor pendukung dalam kegiatan ini yakni semangat siswa-siswi dalam membaca buku, terdapat buku pengayaan yang disediakan dan dukungan dari berbagai pihak. Sedangkan faktor penghambat pembiasaan kegiatan membaca adalah belum optimalnya pelaksanaan gerakan literasi sekolah ini karena belum sepenuhnya rutin dilaksanakan.

ABSTRACT

This study tried to describe about the implementation of School Literacy Movement in Sukorejo Elementary School in Kediri, especially in the process of literacy habituation and development. The research used descriptive qualitative research. Data sources are Principal, Class Teachers and students. Data collection in this study was by observation, interviews and documentation. While the data analysis technique through three stages, namely data reduction, data presentation and data verification. The results showed that at SD Sukorejo Gurah Kediri, the application of literacy was still at the stage of habituation and development. The principal tried to intensify the literacy movement are by getting used to read non-lesson books 15 minutes before class starts, arranging an environment that supports literacy and involving partners in the implementation of literacy activities. There are several aspects can support school literacy in this school that are enthusiasm of students in reading books, enrichment books provided and support from various parties. Whereas the inhibiting factor for the habit of reading activities is the not yet optimal implementation of the school literacy movement because it has not been fully routinely implemented.
A construção da natureza e a natureza da construção: políticas de incentivo aos serviços ambientais no Acre e no Mato Grosso
Authors: Furtado Fabrina
Published: December 2019

Alongside the process of deregulation, the loosening and elimination of rights historically achieved through intense processes of struggle and the deepening of the development logicbased on economic and political extractivism, since the beginning of the 2000s, there has been a movement towards the creation of market related environmental regulation regimes associated with the construction of new types and increasingly privatized “natures”. These are laws and logics, which together with the advancement of the agribusiness economy and the deregulation and loosing of rights, promote an intensification of the appropriation of what we understand as nature and consequently explicit processes of violence, exploitation, and expropriation of territories. More specifically it is the idea of nature as an environmental service and related projects, legitimized by the international climate agreements developed since 1992. The material and symbolic appropriation of nature as a solution to the climate crisis and the discursive appropriation of the political and economic crisis that we have experienced since the parliamentary coup of 2016, has led to the creation of new institutions in Brazil based on the market. In order to combat the climate crisis, sub-national institutions and practices such as the Acre's State System of Incentives for Environmental Services (SISA) and the State System for Reducing Emissions from Deforestation and Degradation (REDD+) in Mato Grosso are being created. Based on these two cases, this article seeks to reflect on the political, social, cultural and territorial implications of the creation of market instruments in the context of discourses concerning climate change. It is hypothesized that political problems are often constructed, already containing the means of their solution
A “proximidade” nos circuitos de abastecimento de alimentos orgânicos da Grande Florianópolis – SC – Brasil
Authors: Gelbcke Daniele Lima , Rover Oscar José , Brightwell Maria das Graças Santos Luiz , Da Silva Clécio Azevedo , Viegas Mauricio da Trindade
Published: December 2019

Geographic proximity between food production and consumption has been largely emphasized as positive, but there is little empirical evidence on how short food circuits (especially when they involve retailing) are organized and to what extent they are actually rooted in regional economies. This article seeks to critically examine the geographical and/or relational proximity parameters commonly discussed in the debate about short food circuits, examining the production and commercialization of organic foods in the Greater Florianopolis region, focusing mainly on the regional dimension of this circulation. By bringing empirical evidence - through interviews with actors involved in production, processing and marketing as well as quantitative research in various retail outlets we show that supermarkets are the main distribution channel and that demand for organic manufactured and off-season products is not met by regional sources. Geographic proximity offers advantages both to producers and consumers, such as lower energy costs in transportation, freshness, as well as the possibility of relating directly to consumers. We also found that intermediaries, be it a farmer or a processer, are important players in the social construction of regional markets but extends the number of actors in the chain, increasing the distance between producers and consumers.Keywords: proximity; organics; marketing; short food circuits; Florianópolis.GELBCKE, Daniele Lima; ROVER, Oscar José; BRIGHTWELL, Maria das Graças Santos Luiz; SILVA, Clécio Azevedo da; VIEGAS, Mauricio da Trindade. A “proximidade” nos circuitos de abastecimento de  alimentos orgânicos da Grande Florianópolis – SC – Brasil. Estudos Sociedade e Agricultura, v. 26, n. 3, p. 539-560, out. 2018.Submitted in may 2018.Accepted in september 2018.
Quando o orgânico se torna “rótulo”: discussões críticas sobre consumo e Agroecologia a partir de um empreendimento de Economia Solidária
Authors: Nascimento Daniela Viegas da Costa , Silva Jaqueline Araújo , Pinto Marcelo de Rezende , Mesquita Maytê Cabral
Published: December 2019

The consumption of agroecological food involves the idea of food consumption, as well as of a chain of distribution of values, ideals, power and solutions for a more sustainable future. This qualitative, exploratory study aims to provide an overview of the consumption of organic food and agroecology in Belo Horizonte, Brazil. The consumption of organic products was analyzed based on the culture of consumption in asolidarity economy enterprise for agroecological products. The results indicate that the interviewees reject the term organic. For them, organic products signifya label, that is, an industry. This stands in stark contrast with the principles of agroecology, of small-scale production and its producers, who are mainly concerned with the land, health and respect for people and nature.Keywords: street markets; consumption; organic; agroecology; solidarity economy; Terra Viva Market.NASCIMENTO, Daniela Viegas da Costa; SILVA, Jaqueline Araújo; PINTO, Marcelo de Rezende; MESQUITA, Maytê Cabral. Quando o orgânico se torna “rótulo”: discussões críticas sobre consumo e Agroecologia a partir de um empreendimento de Economia Solidária. Estudos Sociedade e Agricultura, v. 26, n. 3, p. 608-629, out. 2018.Submitted in march 2018.Accepted in august 2018.
Estudos sobre os currículos dos cursos técnicos em agropecuária: momentos de mudanças?
Authors: Altoé Dayane Silva Santos , De Souza Paulo Marcelo , Martínez Silvia Alicia
Published: December 2019

This work deals with the knowledge produced in the field of Professional Agricultural education. In light of the concept of curriculum prepared by Silva (2003), this paper presents and discusses the most recurrent themes among the studies involving the curricula of technical courses at the high school level in agriculture offered by the Federal Network of Vocational Education, Science and Technology between the years 2005-2012. On the methodological aspects, this work was restricted to academic research at the graduate level provided by the Brazilian Digital Library of Theses and Dissertations as well as the works presented in the four editions of the National Seminar of Vocational and Technological Education. Among the considerations was possible to identify two predominant themes among these studies: the consequences of the reform of vocational education promoted by Decree 2.208/97 and its replacement by Decree 5.154/04 and finally, the introduction of environmental education in the curriculum of technical courses at the high school level in agriculture.Keywords: curriculum; agricultural vocational education; environmental education.ALTOÉ, Dayane Silva Santos; SOUZA, Paulo Marcelo de; MARTÍNEZ, Silvia Alicia. Estudos sobre os currículos dos cursos técnicos em agropecuária: momentos de mudanças? Estudos Sociedade e Agricultura, v. 26, n. 3, p. 681-700, out. 2018.
Submitted in february 2018.Accepted in august 2018.
Microwave measuring technology for sugar industry
Authors: Klute Ulrich
Published: December 2019

Nowadays the dry substance content of sugar syrup and massecuite is measured online using the microwave measuring technology. The available correlations allow accurate control of dry substance content and density in all areas of sugar manufacture. This permits a continuous measurement during the crystallization process, both during the concentration and the magma phase.

The measuring effect and signal analysis of microwave measurement systems are explained and the user benefits are illustrated, resulting in very good process control.

Solutions are proposed for typical application problems such as incrustation, abrasion, purity dependencies and the recognition of breaks between crystallization process using the ‘MicroPolar Brix’ measurement system. Results acquired with different sensors in various processes and applications are presented.

Besides the accurate and reliable measurement of all products from sugar beet or sugarcane, a high value is placed on simplicity, low maintenance and easy calibration to ensure optimized process control and cost. The automatic calibration feature, which requires no additional PC, is demonstrated.