bluuebunny/crossref_metadata_2025 huggingface dataset:
Through Hole Component Inspection Monitoring System
Authors:   ECE Department, VVIET, Mysore, India., P Deepa , D B Anitha ,   ECE Department, VVIET, Mysore, India., Rao Dr. Mahesh ,   ECE Department, MIT, Mysore, India.
Published: August 2019

For PCBA with through hole components, there is no easy, automated way of inspection like using AOI and AXI as employed for the Surface Mount Technology (SMT) components. As there is no such specific efficient inspection tool, till date manual inspection is the only solution for identifying defects in the Through Hole technology. Thus proposed work is defined to inspect few of the through hole component defects in an automated approach. Even though AXI is capable of detecting the Through Hole defects, it is rarely implemented due to its inaccurate results and cost. This results in increased cycle time, moderate efficiency, expensive and is very difficult to be focused for the operator on such repetitive task and that in turn affects the productivity and yield. As not much of research work has been carried out to find solution, a simple image processing technique has been tried here. In the proposed system a pattern matching technique is used for inspecting the defects like presence and absence of the Through Hole components in assembled PCB. In this work few different PCB images of same product have taken for inspection, further the inspection result is generated using LabVIEW Software.
Vocal Tone Analysis for Identification of Stuttering Levels based on Tamil Syllable
Authors:   Department of Computer Science, Avinashilingam Institute Coimbatore, India., Manavalan Manjutha , Subashini Dr. Parthasarathy ,   Professor, Department of Computer Science, Avinashilingam University, Coimbatore, India., Krishnaveni Dr. M. ,   Assistant Professor, Department of Computer Science, Avinashilingam University for Women, Coimbatore, India.
Published: August 2019

Speech is the most unique feature of humans and it is the basic mode of verbal communication. Among all, a few people face hurdles in producing normal speech because of various types of speech disorders. Stuttering is one of the disorder types mainly characterized by repetition of syllables or words and involuntary interruption during the speech. One of the unsolved problems in the realm of fluency disorder is the level identification, based upon the patient’s utterance before and after the speech therapy. The main objective of the paper is to perform analysis of vocal tone to identify the major differences between a normal, moderate and severely stuttered speech, particularly for the Tamil spoken language. The stutter speech vocal tone analysis involves envelope detection based on Hilbert transform has been computed from the input of normal and stuttered speech waves in which by applying normalization to the spectrum and cepstrum of the obtained signal considering only Tamil syllable as input. The experimental outcomes are given as subjective evaluation in three categories of speech signals which results people affected by severe stuttering having low vocal tone than moderate and normal stuttering speech.
An Enhanced Intellectual CAPTCHA Based on Intrinsic Situation Reaction Turing Test
Authors:   Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, Madhya Pradesh, India, Thakur Ayushi , Agrawal Shikha ,   Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, Madhya Pradesh, India, Pandey Rajeev ,   Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, Madhya Pradesh, India
Published: August 2019

Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a challenge response tactics for identifying whether intervened user is human or bot. It is a benchmark task in the field of artificial intelligence that acquires capabilities to secure a webpage or database from programmed loop. There are various ways to attempt such tests i.e. distorted text recognition, motion text recognition, picture identification, mathematical calculation and AI problems as gaming CAPTCHA. Nowadays CAPTCHA is well thought-out as a broadly employed technique which is exploited by web services to prevent their system from unusual relay attacks. It is basically a Turing test required to differentiate whether the accessed client is either a human being or a robot. CAPTCHA is a trending approach where user needs to play an artificial game which is based on some logics that can be understood by human and almost impossible for robots. Gaming CAPTCHA is trending now where user is required to understand the task and perform as it required. But dragging an object towards target area on the basis of object recognition is not a big deal either for human or bots. It is required to put some intellectual efforts that automated programs do not understand. Proposed system is able to provide highly secured technique that easily differentiates human and bots. Proposed CAPTCHA is based on situation reaction test where user is required to take fundamentally correct decision as per the situation. Situation reaction based CAPTCHA is a new and effective approach where hard AI problem proposed that only possible for human and almost impossible for bots. Robot is always weak in correct decision making especially in real life situations that is why situation reaction CAPTCHA plays an important role in the field of turing test.
Implementation of DSP Based Voltage Source Inverter (VSI) by using Sinusoidal Pulse Width Modulation Technique.
Authors:   Student EEE, Gokaraju Rangaraju Institute of Engineering & Technology (JNTUH), Hyderabad, India., Reddy BaiReddy Ekanath , Praveen J ,   Principal and professor, Gokaraju Rangaraju Institute of Engineering & Technology (JNTUH), Hyderabad, India., Kumar A Vinay ,   Associate professor, Gokaraju Rangaraju Institute of Engineering & Technology (JNTUH), Hyderabad, India.
Published: August 2019

This paper deals with theoretical and practical outlook related to implementation of a Digital signal processor (DSP) based on Sinusoidal Pulse Width Modulation (SPWM). For single phase inverter, sine wave is taken as reference signal and saw tooth is taken as carrier signal. It is developed by TMS320F28027 piccolo TM microcontroller with the help of simulink model. TI Texas instrument TMS320 is a blanket name for a series of DSP from Texas instrument. Through the TMS32010 processor which was faster in the DSP market and we use C2000 series microcontroller family with performance integrated peripherals designed for real – time control applications like motor drive control, industrial automation, solar and other renewable energy sources. The voltage source inverter is used in motor speed control and in solar, wind power grids. The system is verified by experimenting in simulation.
Search Engine Optimization with A/B Testing
Authors:   Department of Information Science and Engineering, SDM College of Engineering and Technology, Dharwad, (Karnataka,) India., Badchikar Abhaykumar , Bhat Dr. Vandana S. ,   Assistant Profess, Department of Information Science and Engineering, SDM College of Engineering and Technology, Dharwad, (Karnataka,) India.
Published: August 2019

The search engine optimization, or in short- SEO, is the largest speck of digital marketing, often the hardest thing to learn. Since there are so many individual components that make the large picture of what SEO is, people assume one can never fully learn SEO. While this can be considered true, due to the constant changes in the world of digital marketing, breaking SEO down to its core elements, and understanding them all individually, will help user better grasp the overall concept. In this paper we will learn the basics of search engine optimization and page rankings and this report will explain user how to start doing SEO with Google and provide user the basic SEO framework. Search engine optimization (SEO) is a methodology of strategies, techniques and tactics used to increase the amount of visitors to a website by obtaining a high-ranking placement in the search results page of a search engine (SERP) — including Google, Bing, Yahoo and other search engines.
Time of Development and Fitness Analysis of Modified COCOMOII Model for Software Projects
Authors:   Department of Computer Science and Engineering, RajaRajeswari College of Engineering, Bengaluru, Karnataka, India, D Sivakumar , C Sureshkumar ,   Department of Information Technology, KGiSL Institute of Technology, Coimbatore, Tamilnadu, India
Published: August 2019

In the management of software projects, software cost estimate is very important. The absence of precise and premature estimates is a significant source of the inability of many software initiatives. Nevertheless, it remains a challenge for the software industry to correctly estimate the time and the cost of development. It is used to predict how much effort and time the project needs. The precision of the technology proposal usually depends on the estimated time and the strength standard of the template. In this research analysis the time of development and model fitness are analyzed as a major contribution. The optimized coefficient values for A, B, C & D is used to estimate the time of development and model fitness. This experimental analysis proved that the time of development and model fitness analysis shows the great significance in the estimation and their influence in software cost estimation.
A Chronological Method of Detecting Image Based Email
Authors:   Research Officer, Department of Computer Science & Engineering, Bharathidasan University, Trichy,(T.N.). India., Rajalingam Mallikka , Balamurugan Dr. M. ,   Professor, Department of Computer Science and Engineering of Bharathidasan University, Trichy,(T.N.) India.
Published: August 2019

In this paper we present a Visual feature extraction using improvised SVM and KNN classifiers. The proposed method is an automatic, stable, quick response automatic segmentation, followed by feature extraction and classification to detect spam from the images and the text. The KNN classifier is used to extract features by predicting nearest neighbour while SVM, analyze the data for classification and regression. The hybrid-based Visual feature extraction and classification is elaborated wherein this work discuss the proposed approach which incorporated using improvised SVM and KNN classifier. Moreover, identified patterns via feature extraction method by means of a minimum number of features that are effective in discriminating pattern classes. With all the aforementioned concepts elaborated, the experimental set-up was elaborated with the experimental task, and the results of the character recognition component are further elucidated.
Modification of Prosody for Emotion Conversion using Gaussian Regression Model
Authors:   Department of ECE, Visvesvaraya Technological University, Vidyavardhaka college of Engineering, Mysuru, Karnataka, India., A Geethashree , Ravi D J ,   Department of ECE, Visvesvaraya Technological University, Vidyavardhaka college of Engineering, Mysuru, Karnataka, India.
Published: August 2019

Emotion conversion is one of the most inspiring forefronts of research in the arena of emotional speech synthesis. The main focus of the work is to convert a neutral speech sentence to the target emotional speech sentence using signal processing techniques. The parameters used for emotion conversion are pitch contour and intensity along with the duration of the sentence. Kannada Emotional Speech (KES) Database is created and used for analysis. The database consists of 4 (sadness, happy, anger, and fear) emotions with neutral. The pitch contour of different emotional sentences are analyzed and Gaussian Regression Model (GRM) is proposed for predicting the target pitch contour. The evaluation of the proposed method is done using Objective test & Subjective test. For objective test, mean pitch, the standard deviation of pitch, mean intensity and duration of the sentences are used. Evaluation using a subjective test is performed by calculating Emotion Recognition Rate (ERR) with the help of confusion matrix and also by taking the Mean Opinion Score (MOS) rating of the conversion system on the scale of 1-5. The result of Subjective test indicates that the effectiveness and discernment of emotion are improved when GRM is used for pitch contour modification with intensity and duration. The most recognized emotion was sadness with MOS of 3.52 and ERR of 83% and the least recognized emotion was anger with MOS of 1.74 and ERR of 66%. The results of the subjective and objective test show that the converted sadness, happy and fear speech is seeming very close to usual sadness, anger and fear emotion.
A Neural Network Model for Attacker Detection using GRU and Modified Kernel of SVM
Authors:   CSE department, Kakatiya Institute of Technology & Sciences, Warangal, India., Mohammed Sharfuddin Waseem , Kumar C. Madan ,   CSE department, Kakatiya Institute of Technology & Sciences, Warangal, India., Soora Narasimha Reddy ,   CSE department, Kakatiya Institute of Technology & Sciences, Warangal, India.
Published: August 2019

over past few decades neural network changed the way of traditional computing many different models has proposed depending upon data intensity, predictions, and recognition and so on. Among which Gated Recurrent Unit (GRU) is created for variety of long short-term memory (LSTM) unit, which is part of recurrent neural network (RNN). These models proved to be dominant for range of machine learning job such as predictions, speech recognition, sentiment analysis and natural language processing. In this proposed model, a support vector machine (SVM) with modified kernel as final output layer for prediction is used instead of traditional approach of softmax and log loss function is used to calculate the loss. Proposed technique is applied for binary classification for intrusion detection using honeypot dataset (2013) network traffic sequence of Kyoto University. Results shows a prominent change in training efficiency of ≈89.45% and testing efficiency of ≈88.15% when compared with softmax output layer. We can conclude that linear SVM with modified kernel as output layer outperform compared with softmax in prediction time.
Forecasting the Main Indicators of Food Security of Russia
Authors:   Plekhanov Russian University of Economics, 36 Stremyanny, Moscow, 117997, Russia, Ananiev M.A. , Burlankov S.P. ,   Plekhanov Russian University of Economics, 36 Stremyanny, Moscow, 117997, Russia, Melnikova D.M. ,   Plekhanov Russian University of Economics, 36 Stremyanny, Moscow, 117997, Russia, Sedova N.V. ,   Plekhanov Russian University of Economics, 36 Stremyanny, Moscow, 117997, Russia
Published: August 2019

In the context of current geopolitical events, accurate and correct forecasting of food security and provision becomes highly relevant for solving managerial tasks and making management decisions under modern conditions. This article reviews the main trends in the field of food security, forecasts its key indicators, and identifies the main problems and directions for the development of food security in the Russian Federation. Indicators in the field of food independence, production, and consumption are analyzed. Forecasts of gross collection of vegetables and melons, cultivated areas, imports of food and agricultural raw materials, and consumer price index for food products are presented. The theoretical and methodological basis of the research includes both general and specific scientific methods for assessing the level of food security, as well as methods of economic and statistical analysis, extrapolation methods, modeling and forecasting of time series, adaptive forecasting methods, and factorial analysis. The main problems and threats to food security are identified, including the low level of real income of the population, low share of highly processed products in exports, continuing effect of Western sanctions, low level of innovation and technological development of the agro-industrial sector, etc.. The following measures to improve state regulation of food security have been determined: to increase the economic and physical access to food, to develop the capacity of the agro-industrial complex in the production and scientific and technical fields, to introduce modifications to the Food Security Doctrine, to implement innovative technologies in crop production and to increase its efficiency, to increase the share of companies engaged in organic farming, etc.
Whale Behavior based Rule Optimization on Paraconsistent Neutrosophic Classification Model for Prediction of Dyslexia
Authors:   Research Scholar, School of Computer Studies, Rathnavel Subramaniam College of Arts and Science, Coimbatore, Tamilnadu, India., Zeema J.Loveline , Christopher Dr.D.Francis Xavier ,   Director, School of Computer Studies, Rathnavel Subramaniam College of Arts and Science, Coimbatore, Tamilnadu, India.
Published: August 2019

With the advancement in the software field, diagnosing dyslexia in earlier stages among children is highly possible. It helps them to take necessary measures to rise above the problem. This paper intends to develop an uncertainty handling model using neutrosophic logic inference system. This system’s functionality is enhanced by introducing paraconsistent logic with whale behavior based optimization. Paraconsistent logic is used to discover the degree of certainty and contradiction of generated rules. Pruning the population of rules is handled by a nature inspire algorithm known as whale behavior based rule optimization. Dyslexia dataset consists of both vague and crisp values. Treating them as such will often lead to high false alarms in the detection process. To overcome this issue the neutrosophic model is used to denote them in terms of membership degree of truthiness, indeterminacy, and falsity. The paraconsistent analyzer works with the favorable and unfavorable degree of evidence of each rule to handle the inconsistency and uncertainty among dyslexia detection. The potential rules are selected by the encircle prey model of the whale optimization algorithm. The simulation results proved that the performance of the proposed model produces high detection rate in the detection of dyslexia.
Automated Library System using Android Based Robot
Authors:   Associate Professor, Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India., Sathishkumar B.R. , Krishnaprabha M. ,   U.G. Students, Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India., Priya S. ,   U.G Students, Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India., Ragavi M. ,   U.G Students, Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India.
Published: August 2019

This paper predominantly focus to lessen the consumption of power and manual work. The prototype system uses the robot to detect the book. The input will be given to the robot. The user can search the book by giving the book name and name of the author. This functionality can be aggrandizing using android application, which aids fast usability, remote accessibility.LED in the robot will blink if the searched book is identified. This is achieved using RFID tag and RFID reader. Power efficiency is achieved by providing light only to the area where the book is detected. In case of any rearrangement of books, the process of searching a book will become tedious. Monitoring whether the students is placing the book in the appropriate place is also not possible. For this process it is easy to place a robot to check whether all the books are in right order.
Artificial Intelligence for Governance in India: Prioritizing the Challenges using Analytic Hierarchy Process (AHP)
Authors:   Symbiosis Centre for Management Studies, NOIDA, Symbiosis International (Deemed University)., Gupta Kriti Priya
Published: August 2019

The aim of the present study is to find the relative importance of related challenges of implementing artificial intelligence (AI) in governance within the context of India. Eight sub-dimensions of challenges categorized under three main dimensions are considered for prioritization. The analytic hierarchy process (AHP) methodology is employed to prioritize the challenges. The primary data pertaining to pair-wise comparisons of various factors and sub-factors has been obtained from 170 government officials by using convenience sampling. The results indicate that concerns related to data security, acquisition and storage are the major challenges in implementing AI assisted governance. Additionally, ethical considerations related to unethical use of data and lack of trust are other challenges which may act as barriers in diffusing AI in governance.
Usage of SUMO Computer Modeling Software for Road Traffic Control System Validation
Authors:   Department of Electronic Calculating Machines / Tver State Technical University, Tver, Russia., Ivanov Alexey , Abu-Abed Fares ,   Faculty of International Academic Cooperation / Tver State Technical University, Tver, Russian Federation.
Published: August 2019

Modern road traffic control systems become more complex with each year due to the growing number of cars, demand for more optimized road network designs, and desire to decrease road traffic delays at the intersections during rush hours because of the constantly growing metropolitan area and hence the need of moving farther away across the city. Therefore, a need is very much relevant nowadays for technologies, which can help build more optimal and intelligent road traffic control systems, which in turn will help optimize already existing road network designs. With the help of computer modeling software, it is possible to recreate already existing segments of road network, and by implementing control logic, it is possible to observe how control system and road traffic would react to various changes. This paper looks at how computer modeling software (namely SUMO) can help with the validation of road traffic control system changes without the risks of road traffic accidents caused by manipulation of real control systems.
Tuning of PID Controller using Glowworm Swarm Optimisation on a Satellite Attitude Control Reaction Wheel
Authors:   Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India, Sharma Pulkit , Nair Vishnu G ,   Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India
Published: August 2019

This paper attempts to use GSO algorithm to tune a PID controller that can be used to control a satellite using reaction wheels. These have a higher order transfer function and the controller will be more difficult to tune due to this. To do this, a satellite is chosen which controls its attitude using reactions wheels. An axis is chosen and the reaction wheel along this axis is taken into consideration. A PID controller is then attached to this system. PID (Proportional-Integral-Derivative) are one of the most popular controllers used due to their broad applications and easy to design nature. The PID controller is tuned using Glowworm Swarm Optimization (GSO) algorithm and then the system is checked against a step input. The optimization of the controller is done by minimizing the time weighed absolute error cost function.
3770 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: B3426078219/19©BEIESP DOI: 10.35940/ijrte.B3426.078219 Journal Website: www.ijrte.org Development of a Simple Graphical Interface Based Software for Machine Learning and Data Visualization
Authors:   Department of Computer Science, Federal University, Oye-Ekiti, Ekiti State, Nigeria., G.O Ogunleye , S.G Fashoto ,   Department of Computer Science, University of Swaziland, Kwaluseni, Swaziland, C.Y. Daramola ,   Department of Computer Science, Federal University, Oye-Ekiti, Ekiti State, Nigeria, L.A. Ogundele ,   Department of Computer Science, College of Education, Ilesa, Osun State, Nigeria, T.O. Ojewumi ,   Department of Computer Science, Redeemer’s University, Ede, Osun State, Nigeria, Timilehin Adewole ,   Department of Computer Science, Federal University, Oye-Ekiti, Ekiti State, Nigeria
Published: August 2019

Machine learning has become one of the foremost techniques used for extracting knowledge from large amounts of data. The programming expertise required to implement machine learning algorithms has led to the rise of software products that simplify the process. Many of these systems however, have sacrificed simplicity as they evolved and included more features. In this study, a machine learning software with a simple graphical user interface was developed with a special focus on enhancing usability. The system made use of basic graphical interface elements such as buttons and textboxes. Comparison of the system with other similar open-source tools revealed that the developed system showed an improvement in usability over the other tools.
Image Classification using Supervised Convolutional Neural Network
Authors:   Student, Department of ECE, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India, Sravya Saripalli Sri , Krishna Kalva Sri Rama ,   Professor, Department of ECE, Velagapudi Ramakrishna Siddhartha Engineering College , Vijayawada, India, Suhasini Pallikonda Sarah ,   Associate Professor, Department of ECE, Velagapudi Ramakrishna Siddhartha Engineering College , Vijayawada, India.
Published: August 2019

Deep learning algorithms, in particular Convolutional Neural Networks have made notable accomplishments in many large-scale image classification tasks in the past decade. In this paper, image classification is performed using Supervised Convolutional Neural Network (SCNN). In supervised learning model, algorithm learns on a labeled dataset. SCNN architecture is built with 15 layers viz, input layer, 9 middle layers and 5 final layers. Two datasets of different sizes are tested on SCNN framework on single CPU. With CIFAR10 dataset of 60000 images the network yielded an accuracy of 73% taking high processing time, while for 3000 images taken from MIO-TCD dataset resulted 96% accuracy with less computational time.
Statistical Method for Named Entity Recognition in Telugu, an Indian Language
Authors:   Research Scholar, Assistant Professor, Department of CSE, Jawaharlal Nehru Technological University Kakinada AP India., Eluri Suneetha , Lingamgunta Sumalatha ,   Professor, Department of CSE, Jawaharlal Nehru Technological University Kakinada AP India
Published: August 2019

One of the important tasks of Natural Language Processing (NLP) is Named Entity Recognition (NER). The primary operation of NER is to identify proper nouns i.e. to locate all the named entities in the text and tag them as certain named entity categories such as Entity, Time expression and Numeric expression. In the previous works, NER for Telugu language is addressed with Conditional Random Fields (CRF) and Maximum Entropy models however they failed to handle ambiguous named entity tags for the same named entity. This paper presents a hybrid statistical system for Named Entity Recognition in Telugu language in which named entities are identified by both dictionary-based approach and statistical Hidden Markov Model (HMM). The proposed method uses Lexicon-lookup dictionary and contexts based on semantic features for predicting named entity tags. Further HMM is used to resolve the named entity ambiguities in predicted named entity tags. The present work reports an average accuracy of 86.3% for finding the named entities.
Effect of Injector Opening Pressures on the Performance of Diesel Engine Fuelled With Acid Oil Methyl Ester
Authors:   Department of Mechanical Engineering, Channabasaveshwara institute of Technology, Gubbi, Karnataka, India, S.B Nagesh , T.K Chandrashekhar ,   Department of Mechanical Engineering, Mangalore institute of technology, mudibidri-574227, Karnataka, India, N.R Banapurmath ,   Department of Mechanical Engineering, B.V.B. College of Engineering and Technology, Hubli, Karnataka, India
Published: August 2019

Acid oil for the present take a gander at was acquired from Karnataka district, sunflower non-open limited and Agro Tech individual controlled, an adjacent vegetable oil refining gadgets which produce around 450 metric huge amounts of Acid oil in venture with a year. Corrosive oil that is a subordinate of vegetable petroleum processing plant tasks is a plausible source as its far shabby and without trouble accessible in broad amounts as an unutilized result. Acid oil because of its oxygenated nature and chain kind setup, it has gas homes that are stand-out than diesel gas. Warming qualities are scarcely lower while the thickness and start esteem are higher than diesel fuel. On the off chance that the thickness of Acid oil is diminished and carried nearer to diesel fuel, it might also be utilized as elective diesel fuel. Since the regular transesterification way does never again create an ideal final product, a fresh out of the box new type of "ED3R" esterification framework progressed on the establishment is contracted, wherein ED alludes to Extractive Distillation and 3R alludes to Rectification, Refluxing and Reusing.
Micro structural and Mechanical properties of Agave Americana L. Fiber and Silk Hybrid Fiber Composite Material
Authors:   Mechanical department, Gates Institute of Technology, Gooty. Anantapur, Andhra Pradesh, India, P Mansoor. , Sandeepkumar B. W. ,   Assistant professor SKU College of Engineering &Technology, Anantapur, Andhrapradesh., G Afsar Hussain. ,   Mechanical department, Reva University, Bangalore, Karnataka, India
Published: August 2019

The fiber reinforced polymer composites are the most used accepted materials; they are useful in the present days as an alternative to the metals. Because of their low cost and high specific strength, low weight and less concerned to the environment, they became more attracted globally. The natural fibers such as Agave Americana with Silk fiber hybrid composites are used in the proportion of 1:1 has been incorporated with unsaturated polyester resin. The effect of fiber at (0, 15, 25, 35 and 45 wt. %) samples are studied. In the project work a hand lay-up method were utilized for preparing the composites. Agave Americana are treat with NaOH fallowed by Hcl acid. And the consequences of alkali behavior on the tensile and compressive properties are going to be studied. Major development of tensile and compressive strengths of the Agave/silk hybrid composites have been observed for various treatments.
Bacterial and Virus affected Citrus Leaf Disease Classification using Smartphone and SVM
Authors:   Research Scholar in the Department of Information Technology, Gauhati University., Barman Utpal , Choudhury Dr. Ridip Dev ,   Assistant Professor in the Department of Computer Science, IDOL, Gauhati University.
Published: August 2019

Automatic detection of citrus leaves disease is very much essential for the better productivity of citrus. Citrus leaves are affected by bacteria, fungus and virus respectively. Farmer detects the diseases of the plant using laboratory, naked eyes or using expert’s view. The rural farmers often face difficulties to detect these diseases due to the non availability of the laboratories in their area. Here in this paper, a computer automation system is proposed to detect the diseases of citrus leaves on an early stage. Citrus leaves images are captured using Smartphone. Captured images are used to extract the different features of the citrus leaves samples using Gray Level Co-occurrence Matrix. Finally, citrus greening and citrus CTV images are classified from citrus healthy images using Gaussian kernel based support vector machine. Accuracy of the kernel is evaluated for the different values of Gamma parameter of kernel. The Gaussian kernel gives maximum accuracy (95.5%) with Gamma value 1.
Sustainable Development, Macro and Micro Level: Russian and Foreign Model
Authors:   Doctor of Economic Sciences (Advanced Doctor), professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Sotnikova Lyudmila V. , Polenova Svetlana N. ,   Doctor of Economic Sciences (Advanced Doctor), professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Mislavskaya Nataliya A. ,   Doctor of Economic Sciences (Advanced Doctor), professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Petrov Alexander M. ,   Doctor of Economic Sciences (Advanced Doctor), professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, Basova Mariya M. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia
Published: August 2019

Sustainable development needs to be considered both at the macro and micro level. World history has been developing over an enormous number of years. During this period, the considerable power of the economy and its globalization is shown. The development tendencies of the present world have greatly influenced the original appearance of our planet and its aspects, such as humanity, nature, and the connections of various kinds of systems. All this leads to the understanding that the possibilities of nature to maintain a balance are not unlimited. The economy closely interacts with nature, which what determines the relevance and importance of the sustainability of modern companies and the balance of economic, social and environmental aspects of development for any company. The conditions of functioning of real-time economic entities determine the priority and relevance of the tasks of ensuring their sustainable development, which is due to the constant impact of objective and multidirectional factors of micro and macro level economy. The impact of external and internal factors remains unchanged and can lead to a violation of the stability of the state of the company if it is not prepared for them, and, therefore, is not able to resist them. In turn, the sustainability of a company’s development is characterized by its ability to function effectively and develop when external and internal conditions change. The strategic goal of sustainable development is to ensure the longest and healthiest possible existence for us and our generation, due to the competent combination and interaction between economic, social and environmental aspects that cover our lives, preserve the natural potential and technological capabilities and form certain benefits for humanity as a whole.
SISTEM MONITORING PENGAIRAN OTOMATIS DENGAN METODE LOGIKA FUZZY
Authors: Qirom Qirom , Niam Bahrun , Sungkar Muchamad Sobri
Published: August 2019

Rice plant which is a source of food for the people, it needs enough temperature, air humidity and high water for maximum growth. The irrigation system is a major requirement in the field of agriculture, especially for rice plant. Some constraints in conventional irrigation, so they need irrigation system automatically. Some previous studies about automatic irrigation were only used one or two parameters and only used fuzzy or IoT. The method offered in this study uses fuzzy logic using 3 inputs and combines the monitoring system in real time based on IoT. The purpose of this study is to determine the effectiveness of fuzzy logic using three inputs to control the automatic irrigation system byreal time monitoring usingIoT. Data obtained by testing in themorning, afternoon, evening, night and using heat and rain treatment then compared using Matlab calculation. From the tool testing, the average precision of the tool comparison using the calculation is 77.13%.
RIBINIŲ VELOERGOMETRIJOS TYRIMŲ, IŠEMINĖS ŠIRDIES LIGOS RIZIKOS VEIKSNIŲ SĄSAJOS SU TOLESNIAIS TYRIMŲ BEI GYDYMO REZULTATAIS
Authors: Brazaitis Gediminas , Grižas Vytautas
Published: August 2019

Tyrimo objektas. Ribinių veloergometrijos rezultatų tolesnė gydymo, tyrimo taktika ir ryšiai su išeminės širdies ligos (IŠL) rizikos veiksniais. Tyrimo tikslas. Išanalizuoti, kaip siejasi ribinius tyrimo rezultatus gavusių pacientų IŠL tyrimo bei gydymo taktika su esamais anksčiau nustatytais rizikos veiksniais. Tyrimo medžiaga ir metodai. Išanalizuoti 138 LSMUL KK pacientai, tirti 2018m. 02-03mėn., iš kurių atrinkta tinkamai užpildytą anamnezę turinti 100 žmonių grupė. Duomenys analizuoti naudojant IBM SPSS statistics 24 versiją. Analizuotiems duomenims buvo naudojami šie testai: cross-tabs Pirsono (Pearson), Spirmeno (Spearman) koreliacijos. Duomenys buvo koduojami, skaičiuojami vidurkiai, standartiniai nuokrypiai, mediana, dažniai, procentai, statistinis reikšmingumas. Tyrimo rezultatai. Atlikus tyrimą nustatyta, jog ribinį veloergometrijos rezultatą turintiems pacientams dažniau nustatomos stenozės bei 3VAL esant CD, vyriškai lyčiai, stentavimas dažniau taikomas vyrams, rūkantiems bei sergantiems CD (cukriniu diabetu). Miokardo perfuzija būna šeiminę anamnezę turintiems bei rūkantiems. Krūvio hipertenzija dažniau pasireiškia krūtinės anginos (KA) simptomus jaučiantiems ligoniams. Išvados. Atlikus tyrimą nustatyta, jog reikėtų atlikti vainikinių arterijų angiografiją (VAA), jei yra bent vienas iš faktorių: pacientas vyriškos lyties, serga CD, rūko ar yra vyresnis nei 65 metų amžiaus. Taip pat reikėtų atsižvelgti ir svarstyti miokardo perfuziją atlikti rūkantiems ar šeiminę anamnezę turintiems pacientams. KA simptomus jaučiantiems dažniau pasireiškia krūvio hipertenzija.
LIETUVOS MOKSLEIVIŲ PASITENKINIMAS GYVENIMU: HBSC TYRIMO REZULTATAI
Authors: Lukoševičiūtė Justė , Šmigelskas Kastytis
Published: August 2019

Gera fizinė ir psichologinė savijauta bei palanki socialinė aplinka leidžia jauniems žmonėms nesunkiai įveikti paauglystėje kylančius sunkumus ir sumažina riziką rimtesnėms sveikatos problemoms ateityje. Šiuo tyrimu buvo siekiama nustatyti subjektyvaus sveikatos įvertinimo ir psichologinės gerovės rodiklių svarbą pasitenkinimui gyvenimu. Duomenys rinkti vadovaujantis tarptautiniu HBSC tyrimo protokolu, 2018 m. surinkta reprezentatyvi Lietuvos moksleivių imtis: apklaustas 4191 mokinys iš 5, 7 ir 9 klasių (berniukų 50,9 proc., mergaičių 49,1 proc., amžiaus vidurkis 13,8±1,7 m.). Daugelis Lietuvos moksleivių yra patenkinti savo gyvenimu (87 proc.). Prastesnis pasitenkinimas gyvenimu būdingas mergaitėms, vyresniems moksleiviams iš žemesnės socialinės-ekonominės padėties šeimų. Vertinant pasitenkinimą gyvenimu didžiausios svarbos turėjo bendra psichologinė gerovė ir subjektyvus sveikatos vertinimas.
GYDYTOJŲ PSICHOSOCIALINIAI DARBO APLINKOS VEIKSNIAI IR JŲ SĄSAJOS SU GYVENIMO KOKYBE
Authors: Žutautienė Rasa , Radišauskas Ričardas , Ustinavičienė Rūta , Kirvaitienė Jolita , Rakutytė Kornelija
Published: August 2019

Psichosocialinis veiksnys – tai aplinkybė, veiksmas, situacija, kuri turi įtakos darbuotojo fizinei sveikatai, drauge sukeldama jam stresą [1]. Tyrimo tikslas buvo nustatyti pagrindinius gydytojų psichosocialinius darbo aplinkos veiksnius ir jų sąsajas su gyvenimo kokybe. 2018 m. kovo – vasario mėn. anoniminės apklausos būdu, naudojant standartizuotus klausimynus, atlikta vienmomentinė epidemiologinė Raseinių, Jonavos, Kaišiadorių, Kėdainių ir Prienų ligoninėse dirbančių gydytojų apklausa. Tyrimo imtis – n = 230 respondentų (atsako dažnis 79,4 proc.). Nustatyta, kad 41,3 proc. (n=95) respondentų reikia didelių specifinių įgūdžių darbe, penktadalis (n=44) teigė, kad darbo reikalavimai yra dideli ir tik pusė respondentų (n=126) manė, kad sprendimų priėmimo laisvė yra vidutinė. Nustatyta reikšminga priklausomybė tarp amžiaus ir darbui specifinių įgūdžių poreikio, darbo reikalavimų ir bendradarbių paramos. Beveik pusė (48,7 proc.) gydytojų patyrė vidutinį elgsenos stresą. Perdegimas darbe atsirado dėl per didelio darbo krūvio, kontrolės ir informacijos stokos, socialinio palaikymo trūkumo. Gydytojų subjektyvios sveikatos prognozei reikšmingą vertę turėjo psichologinis stresas (elgsenos, somatinis, kognityvinis), profesinis perdegimas ir darbui specifinių įgūdžių poreikis.
INFORMUOTO PACIENTO SUTIKIMO ATLIKTI ANESTEZIJĄ GAVIMO PRAKTIKA IR ANESTEZIJOS KOMPLIKACIJŲ VERTINIMAS LIETUVOS ANESTEZIOLOGŲ-REANIMATOLOGŲ POŽIŪRIU
Authors: Jovaiša Tomas , Gambickas Lukas , Kalinauskaitė Miglė , Kauzonas Evaldas , Norkienė Ieva
Published: August 2019

Informuoto asmens sutikimas tampa vis svarbesnis kasdienėje anesteziologo praktikoje dėl nuolat didėjančių reikalavimų sveikatos apsaugos standartams. Tačiau šiuo metu nėra vieningos formos. Dažnai anesteziologai, remdamiesi savo patirtimi, patys nusprendžia, apie kokias anestezijos rizikas kalbėti su pacientu, o tokia praktika neatitinka šiuo metu propaguojamos įrodymais grįstos medicinos reikalavimų. Šio tyrimo tikslas buvo įvertinti informuoto asmens sutikimo atlikti anesteziją gavimo praktiką ir anestezijos komplikacijų vertinimą tarp Lietuvos anesteziologų. Atlikta savanoriška ir anoniminė anesteziologų-reanimatologų apklausa. Respondentai turėjo atsakyti į klausimus apie sutikimo atlikti anesteziją gavimo praktiką jų darbovietėje bei atskleidžiančius jų žinias apie informuoto paciento sutikimą. Apklausą užpildė 146 respondentai. Respondentų demografiniai duomenys atspindėjo Lietuvos anesteziologų-reanimatologų bendruomenės demografinę sudėtį. Bemaž 90% pacientų pasirašo sutikimą tą pačią dieną prieš operaciją. 91% respondentų teigė, kad pacientai neperskaito formoje nurodytos informacijos, bet tik 32% manė, kad tai yra todėl, kad jų naudojama sutikimo atlikti anesteziją forma per daug sudėtinga. Dauguma gydytojų nurodė nuo 6 iki 20 kartų didesnį sunkių anestezijos komplikacijų dažnį, nei nurodoma tarptautinėje literatūroje ir vidutiniškai tik 17,3% pateikė tikslius atsakymus. Tik 43,8% respondentų mano, kad esama sutikimo atlikti anesteziją forma apsaugo gydytoją skundų ir teisinio
nagrinėjimo atvejais. Informuoto asmens sutikimo atlikti anesteziją procedūra Lietuvoje dažnai neatitinka saugios anestezijos reikalavimų. Gydytojai yra linkę pervertinti komplikacijų riziką, todėl pacientams pateikiama informacija gali ženkliai skirtis. Reikalinga nauja sistema, kuri leistų užtikrinti pilnavertišką paciento sutikimą atlikti anesteziją.
PROBLEM OF ‘DRUG ABUSE’ IN AGING PEOPLE
Authors: Igumnov Sergey , Nenastyeva Anna , Grinevich Ekaterina
Published: August 2019

The article provides the review of the current approaches to the problem of drug abuse in people of advanced age (65 and more). Method of research. Content analysis of PubMed, Medline and PsycINFO resources, using search terms: “neuroleptics”, “antidepressants”, “anticonvulsive drugs”; “abuse”, “non-medical use”, “addiction”, individual drug classes, individual substances, various combinations of substances, metaanalyses of the research of “drug abuse” in people of advanced aging people. The results of the content analysis show that any medicine, which can cause psychoactive effect of any kind, for example relaxation, sedation, intoxication, euphoria, increase of energy, can become an object of abuse. Conclusion. 1. Psychotropic drugs often have the potential for abuse by aging people with addiction. 2. Abuse of psychotropic substances significantly alters the clinical picture of an already formed drug dependence. 3. The problem requires new therapeutic approaches and complicates statistical processing and analysis of the existing problem. 4. Physicians who prescribe psychotropic drugs to aging people should be well aware of the potential risks of their use.
El ‘comandante cero’ Edén Pastora: entre el Che y la burguesía
Authors: Sánchez Nateras Gerardo
Published: August 2019

El trabajo abordará la manera en la que la facción Tercerista del FSLN buscó promover a Edén Pastora, como un ícono revolucionario socialdemócrata para aplacar el temor de la burguesía nicaragüense y los aliados internacionales del FSLN ante las posibilidades de una nueva revolución comunista en el continente. El texto abordará la complicada relación entre el FSLN y sus aliados internacionales, destacando la forma en la que éstos buscaron influir en el programa político de la revolución y la manera en la que los sandinistas respondieron ante las presiones internacionales de sus aliados, en el contexto general de la Guerra Fría en América Latina .
ESTUDO DA PERCEPÇÃO AMBIENTAL DE ESTUDANTES: FERRAMENTA PARA A CONSERVAÇÃO DE SERPENTES
Authors: Mendes Bianca Morais
Published: August 2019

A relação entre o homem e as serpentes, em muitas situações, apresenta-se conflituosa. O presente trabalho teve como objetivo avaliar a percepção de estudantes, relacionada às serpentes, em duas escolas. A metodologia foi a de Planejamento, Processo e Produto. O Planejamento constou de um questionário que contemplou a percepção dos alunos acerca das serpentes, e o conhecimento destes sobre biologia, ecologia e conservação desses animais. No processo realizou-se uma palestra que abordou as questões associadas às serpentes, e finalmente, no produto, uma entrevista semi-estruturada buscou avaliar a repercussão desta nos estudantes. Conclui-se que esse estudo apresenta-se como uma ferramenta para subsidiar a implantação de um programa de educação ambiental direcionado para conservação das serpentes.
Anuncios 36-3
Authors: Acta Médica Colombiana
Published: August 2019

Anuncios 36-3
A Closer Look at Bursty Star Formation with LHα and LUV Distributions
Authors: Emami Najmeh , Siana Brian , Weisz Daniel R. , Johnson Benjamin D. , Ma Xiangcheng , El-Badry Kareem
Published: August 2019

We investigate the bursty star formation histories (SFHs) of dwarf galaxies using the distribution of log(

) of 185 local galaxies. We expand on the work of Weisz et al. to consider a wider range of SFHs and stellar metallicities, and show that there are large degeneracies in a periodic, top-hat burst model. We argue that all galaxies of a given mass have similar SFHs and we can therefore include the L
Hα
distributions (subtracting the median trend with stellar mass, referred to as

) in our analyses.

traces the amplitude of the bursts, and log(

) is a function of the timescale, amplitude, and shape of the bursts. We examine the two-dimensional distribution of these two indicators to constrain the SFHs. We use exponentially rising/falling bursts to determine timescales (e-folding time, τ). We find that galaxies below 107.5
M
⊙ undergo large (maximum amplitudes of ∼100) and rapid (τ < 30 Myr) bursts, while galaxies above 108.5
M
⊙ experience smaller (maximum amplitudes ∼10), slower (τ ≳ 300 Myr) bursts. We compare with the FIRE-2 hydrodynamical simulations and find that the burst amplitudes agree with observations, but they are too rapid in intermediate-mass galaxies (

M
⊙). Finally, we confirm that stochastic sampling of the stellar mass function cannot reproduce the observed distributions unless the standard assumptions of cluster and stellar mass functions are changed. With the next generation of telescopes, measurements of L
UV and L
Hα
will become available for dwarf galaxies at high redshift, enabling similar analyses of galaxies in the early universe.