bluuebunny/crossref_metadata_2025 huggingface dataset:
Hosting models comparison of ASP.NET Core application
Authors: Zdanikowski Kamil , Pańczyk Beata
Published: November 2019

The article presents hosting models comparison of ASP.NET Core application. Available hosting models were described and compared and then performance comparison was carried out. For each model the same test scenarios were executed and their performance was determined by number of requests per second which host was able to process. The results obtained show that standard model is the least efficient one and using one of the other configurations, for example, IIS with Kestrel (in-process), Kestrel or HTTP.sys might provide even several times better performance compared to standard model.
Quality evaluation of selected tools to automate application testing
Authors: Szczepkowicz Łukasz , Pańczyk Beata
Published: November 2019

The subject of this article is a comparison of selected tools for the implementation of software tests. Seven open source tools were selected for the analysis: Selenium IDE, Selenium WebDriver, JMeter, SoapUI, SikuliX, AutoIT, Katalon Studio. The research was carried out using dedicated test applications (desktop, web and web service) with the same functionality.
Assessment of the web application security effectiveness against various methods of network attacks
Authors: Erbel Mateusz , Kopniak Piotr
Published: November 2019

The article discusses the issue of the security of Internet applications. The most popular types of attacks and methods of securing web applications against them are discussed. The study conducted the effectiveness of security of web applications. The research methodology was based on the proprietary application implemented in PHP technology. The result of the research is a proposal of solutions aimed at improving application security.
Method of synchronization and data processing from differents inertial sensors kits sources for the human gait analysis
Authors: Goźdź Aleksandra , Kalinowski Maciej , Kopniak Piotr
Published: November 2019

The article talks about results of data synchronization measurements sourced from two recording gait systems for human gait analyses. Two systems are Xsens sensor kits: MT Awinda, Xbus Kit. The article cover file format used to save data and synchronization method for sensor measurement from above mentioned kits. On the basis of the studies carried out, sensor measurement from different places on human body are unify to a common frame of reference. The discussed method provides also progressive data processing for angles range from -180° to 180° conversion to the absolute angle value from initial sensor settings.
Predicting Stock Market Trends using Hybrid SVM Model and LSTM with Sentiment Determination using Natural Language Processing
Authors:   SRM Institute of Science and Technology, Ramapuram Campus, Chennai, Tamil Nadu, Singh* Shashank , Ahmad Maaz ,   SRM Institute of Science and Technology, Ramapuram Campus, Chennai, Tamil Nadu, Bhattacharya Aditya ,   SRM Institute of Science and Technology, Ramapuram Campus, Chennai, Tamil Nadu, Azhagiri M. ,   SRM Institute of Science and Technology, Ramapuram Campus, Chennai, Tamil Nadu
Published: November 2019

In the financial world, stock trading is one of the most crucial activities. Investors make educated guesses to predict stock market trends by analyzing news, studying the company history, industrial history and a lot of other data. successfully predicting the stock market trends and investing in the right shares at the right time can maximize the investor’s profit or at least minimize the losses. Stock market price data is generated in huge volumes and is affected by various diverse factors. This work proposes two models to predict the stock market prices. The first model is an LSTM model that employs a backpropagation optimized LSTM network to forecast future stock prices. The second model is a hybrid model that combines an SVM model, KNN model and a Random Forest classifier using the Majority Voting algorithm to predict stock market trends. Both models have a sentiment analyzer to factor the news influencing the stock market using Natural Language Processing (NLP). The project aims to help investors who are new to the stock market and don’t possess sufficient knowledge to make share investments as well the experienced investors by predicting stock market trends.
Supervised Linear Estimator Modeling (SLEMH) for Health Monitoring
Authors:   Research Scholar ,Deptt of Computer Science & Engg Ikgptu Kapurthala, Punjab, Kaur* Amandeep , Gupta Anuj Kumar ,   Professor, Deptt of Computer Science & Engg, CGC, LANDRAN, PUNJAB
Published: November 2019

In this research work, the E-Health monitoring system has been developed using fifteen health indicators. These fifteen features were selected by following a Recursive Feature Elimination with Cross-Validation method. The dataset was labeled as per medical limits and segregated into three classes (normal, borderline and onset of unhealthy state). A rigorous process was followed at each step to find out which linear estimator and model is suitable for classifying health condition of persons. Five regression estimators were evaluated and it was found that logistic regression and linear discriminant analysis methods are providing highest accuracy and lowest error for classifying three health states of a patient.
Pragmatics a nd Cognition: Intention a nd Conceptualization i n Discourse
Authors:   Professor, Rector of Alisher Navo’i University of the Uzbek Language and Literature, Tashkent, Uzbekistan., Sirojiddinov* Shuhrat , Normurodova Nozliya ,   PhD, associate professor, head of intercultural communication and tourism department at Alisher Navo’i University of the Uzbek Language and Literature, Tashkent, Uzbekistan.
Published: November 2019

The study of linguistic personality (LP) in linguopragmatic approach effectively employs pragmatic intentions as a means of representing individual picture of LP by attracting attention, interesting the reader, exerting emotional impact, activizing knowledge structures, stimulating the addressee’s creativity, representing the conceptual world picture. The linguopragmatic analysis is based on lexica-grammatical and linguostylistic ones, and it appears to be their logical continuation in respect of linguopragmatic interpretation of the received data. It is aimed at revealing verbal signals of formation of the pragmatic meanings and their substantial and functional interpretation, defining the pragmatic effect of speech communication. Proceeding from the notion of communicative-pragmatic situation, the analysis of LP is made in the following parameters: subject and aim of communication, social, psychological and individual characteristics of LPs, role and personal relations between LPs. The conducted research confirms the suggested hypothesis that the peculiarity of LP in literary discourse is revealed in a specific linguistic form of reflection of its semantic-stylistic, pragmatic, cognitive, national and cultural characteristics that represent a certain correlate of features of spiritual aspect of LP. The implied findings will be a path to build mental and conceptual correlations in defining LP’s model.
Design And Implementation o f Low Power, High Performance 2 4 a nd 4 16 Line Decoders u sing Adiabatic Logic Circuits
Authors:   ECE department, Vardhaman College of Engineering, JNTU Hyderabad, India., Srikanth* B. , Srihari M. ,   ECE department, Vardhaman College of Engineering, JNTU Hyderabad, India., Kumar D. Praveen ,   ECE department, Vardhaman College of Engineering, JNTU Hyderabad, India., Kumar G. Shravan ,   ECE department, MLR Institute of Technology, JNTU Hyderabad, India.
Published: November 2019

In the present emerging field for the research, the reduction of power has become a major design problem in VLSI technology. As the size of the system shrinking gradually it has become the one the prime concerns in the design of decoders. The main purpose of this paper is to minimize the power and delay capabilities comparison with ordinary CMOS design. To avoid power reduction by introducing a different technique. In this paper we are approaching the adiabatic circuit has been introduced. The power dissipation in the adiabatic circuits can be minimized when compared to conventional CMOS logic. The designing of decoders with the adiabatic logic can reduce the power average power by 10.80% and delay by 21%, 23% and 24% at different voltage levels compared to the conventional CMOS. Finally, Spice simulation results show the comparison results between the existing CMOS decoders and the proposed adiabatic logic-based decoders at 32nm technology in all cases.
Automatic Alcohol Detector Car Control Panel
Authors:   assistant professor at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, Dayana* Mrs. Baby D. , Sinha Shipra ,   student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram., Jha Apurv ,   student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram., Yadav Padmini ,   student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapur
Published: November 2019

The idea is about making vehicles more selfregulating and automatic which may inform or combat vehicle drivers under terrible conditions .The system consist of MQ-3 alcohol sensor to continuously observe the alcohol blood concentration level, to discover the presence of liquor in the breath of a vehicle’s driver. By placing sensor on steering wheel of the vehicle, the system has the capacity to continuously check alcohol concentration level from the driver’s breath. In case if driver is drunk while driving then the CCW system would get activated. Using CCW the car could change its own position and maintain its own speed depending on other nearby vehicles. This would decrease the extent of accident.
The Pedagogical Role and Attributes of a Video Clips for Teaching Skills in Electrical Wiring Installation and Maintenance Course
Authors:   Student, Faculty of Technical and Vocational Education (FTVE), Universiti Tun Hussein Onn Malaysia, Master Technical Vocational Education., Zuki Fatin Syazwani binti Mohd , Masek Alias ,   lecturer, Faculty Of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia (UTHM)., Mohamed Abd Rasyid ,   Teacher,Sekolah Seni Malaysia Johor (SSEMJ) Norsuhaidah Mohamad, Student,Faculty of Technical and Vocational Education (FTVE), Universiti Tun Hussein Onn Malaysia, Master Technical Vocational Education.
Published: November 2019

Didactic teaching for electrical wiring installation and maintenance courses is a tricky task as it involves careful work steps as well as adherence to specific safety measures. The existence of errors during the execution of the techniques and procedures will be hazardous and wasting materials. Therefore, this study aimed to explore the role of pedagogy and the usage of video as a teaching aid along with didactic teaching strategy, implemented while teaching electrical wiring installation and maintenance courses in vocational colleges, in Malaysia. This study was done qualitatively by using case study approach by interviewing two experienced teachers from vocational colleges and an officer from State Education Department, Johor, Malaysia. The deductive thematical analysis was used to analyse the pedagogical elements and the use of videos in the practical teaching of electrical wiring installation and maintenance courses. Findings show that there are four main domains of the pedagogical roles of a video clip namely cognitive, experience, affective and skill. Six video attributes were also explored, which are the video content, slow motion, realistic, extreme close up, chronology and interactive footages. As a result, the pedagogical roles and the attributes of a video clips can serve as a guideline to the educators and practitioners for the development of video-assisted materials for teaching skills in the electrical wiring installation and maintenance courses.
Investment Decisions Formation: Innovative Assets
Authors:   Plekhanov Russian University of Economics, Moscow, Russian Federation., Plaskova Nataliya Stepanovna , Prodanova Natalia Alekseevna ,   Plekhanov Russian University of Economics, Moscow, Russian Federation., Samusenko Alexander Sergeevich ,   Plekhanov Russian University of Economics, Moscow, Russian Federation., Erzinkyan Elmira Arsenovna ,   State Academic University for Humanities (GAUGN), Moscow, Russian Federation., Barmuta Karine Alexandrovna ,   Don State Technical University, Rostov-on-Don, Russian Federation., Shichiyakh Rustem Adamovich ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation.
Published: November 2019

The article deals with theoretical and methodological problems of valid information, accounting and methodological support of investment decisions formation given a boost to innovative activity for management at microeconomy and macroeconomy. Based on critical review of regulations and literature, the clear definition of innovative asset, which is an element of intangible assets in an organization, is formulated. Characteristics of objects conformed to characteristics of innovative assets are described for formation of relevant section in accounting policy of an organization performed innovative activity. Tips for perfection in accounting procedures structuring in stages of innovative activity are performed. Contained in the article scientific and practical tips are instrumental in improvement of quality of financial and consolidated reporting disclosure about business activity results. It leads to reliable formation of business image and investment attractiveness of an organization, activation capital inflow to innovation sector of the wider economy.
Identification of Malicious Accounts in Facebook
Authors:   Professor, Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad-501301, Telangana, India, Sahoo Dr. Prasanta Kumar , Lavanya K. ,   M. Tech. 2nd year, Dept of Computer Science and Engineering. Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad-501301, Telangana, India.
Published: November 2019

In this modern world of internet age social networking is becoming popular day by day for sharing of information and day to day communication. The social media has changed the way people pursue their life and made it a part of their life to get connected with friends, family, colleagues and with the society as a whole. Social networking can occur for social purposes, business purposes by the use of Facebook, Twitter, LinkedIn etc. Hence it has become the favorite spot for the cyber criminals. Facebook is a free social networking website that allows users to upload photos and video, send messages and keep in touch with friends, family and rest of the world. Unfortunately, spammers are also using this Facebook for their personal gain by creating fake profiles or comprising the other famous accounts. These accounts together are referred as malicious accounts. Hence it became important task to identify this spam for free communication over Facebook. However, some former researchers have proposed their work to identify these accounts but suffering from many limitations. In this paper a method is proposed called An unsupervised method to detect spam in Facebook using DBSCAN algorithm. This research work used Jaccard similarity and DBSCAN algorithm to detect spam messages. This research work is implemented using real time messages and evaluated. The experimental results show the methodology used is very efficient, having better accuracy and low false positive rate in detecting the spam messages in Facebook. This research work will help the common man in detecting malicious Facebook accounts in a great way.
Making the Web 2.0 Faster for Next Generation
Authors:   Department of Computer Engineering, SIES Graduate School of Technology, Mumbai, India, Anand Brijesh , T Pranav Chandran ,   Department of Computer Engineering, SIES Graduate School of Technology, Mumbai, India
Published: November 2019

Undeniably the most favored web scripting language is PHP. Almost 80% of the internet’s server-side web applications are written in PHP which includes big giants like WordPress, Wikipedia, and Facebook. In present-day, at an accelerating pace, the quantity of digital content is burgeoning. A heterogeneous set of users' devices is being amassed by these contents and administering these contents manually is an infeasible solution engendering an increasing set of problems. A solution to this problem would be to switch to a web programming language, which can be compiled. We are describing an easy to deploy and a continuous conversion mechanism for converting existing Web 2.0 PHP application systems into Facebook’s HHVM supported Hack server-side application systems. We are trying to use the power of Hack language and amplify the performance of existing PHP server-side applications. Instead of interpreting all of your code Hack translates it to assembly and runs that instead, which can lead to an immense amount of increase in performance. We are using Hacktificator, a tool developed by Facebook Developers and our demo web application running on HHVM to test and convert user’s existing PHP codebase to Hack language. With this proposed methodology we do not have to make any change to existing codebase manually or hire new engineers for the conversion, nor do we have to take down our live systems. Conversion can be done on the fly and will result in approximately 2x to 20x better performance. The availability of this tool can save costs for manual conversion, save time as well as improve the user experience of websites with better performance.
Simulation Framework on Developing Neural Network Model of C. Elegans
Authors:   CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia., Kamarudin* Raihaan , Zainudin M.N. Shah ,   CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia., Ramlee R.H. ,   CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia., Idris M.I. ,   CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
Published: November 2019

The nervous system is a complex yet efficient structure – with superior information processing capabilities that surely surpass any man-made high-performance computer. However, without having a complete architectural blueprint of this “technology,” understanding its underlying mechanisms is a challenging task. Current research has focused on investigating the interactions between neurons. However, this is not sufficient to explain each neuron’s functionality – as they might be physiologically different. One of the approaches to understanding the role of a specific neuron is to observe how its behaviour changes as a network develops. Notwithstanding, observations of biological changes in behaviour accompanying network developmental are experimentally challenging. This therefore creates a new possibility for research exploration: using a network developmental model that can simulate the behaviour of the biological network during the development process. In this research, the biological network of C. Elegans is used as the foundation for the design of the model. Although composed of only with 302 neurons, the nematode's network has the capability of handling complex biological processes, for instance, locomotory and sensory behaviour. In addition, the invariant developmental cell lineage and available network connectivity information provide advantages in terms of analysing the developmental pattern. This creates the possibility of defining a mathematical description of the developmental trajectory. This work aim to design a network trajectory model that is governed by specific rules – a model that has the ability to self-generate a single cell for the multicellular network. For this purpose, a high-processing event-based neural simulator with a 2D virtual environment is developed – to be used for the simulation of a complex multi-stimulus environment. This paper describes the approach and initial design of the network developmental trajectory model.
Information Technology and Accounting Information Systems on Employee Performance
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Meiryani*  , Lindawati ASL ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Fauziah Sarah ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia
Published: November 2019

This study aims to examine the use of information technology and the effectiveness of accounting information systems on employee performance. The object of this research is the Ministry of Trade of the Republic of Indonesia. The population in this study was 50 employees in 3 units of the ministry of trade, namely the General Bureau unit, the Directorate of Export and Import Facilitation units and the Directorate of Agricultural and Forestry Product Exports. The sample of this research is 3 units in the Ministry of Trade. The sampling technique used in the study was purposive sampling method. The results of this study indicate that (1) the use of information technology has an effect on employee performance, (2) the effectiveness of accounting information systems has no effect on employee performance.
Effect of Volume Fraction and Heating Temperature on Hybrid Natural Fibre Composites Developed Through the Die Moulding Process
Authors:   PhD Research Scholar at NIT Jalandhar, and Assistant Professor, of Professional University, Jalandhar, Department of Industrial and production engineering, Jalandhar India., Mann* Guravtar singh , Singh Dr. Lakhwinder P al ,   Associate Professor Department of Industrial and production engineering, PhD Industrial Engineering (NIT Jalandhar)M.Tech Industrial and production engineering, Jalandhar, India., Kumar Dr. Pramod ,   Associate Professor Department of Mechanical engineering PhD Industrial Engineering (NIT Jalandhar) M Tech Mechanical (CIDM) (NIT Jamshedpur), B Tech Mechanical (NIT Jamshedpur), India.
Published: November 2019

Green composites are the materials which are made up of natural fibers and biodegradable matrix materials, which have the ability to replace the non-biodegradable, petroleum-based products. In this study, the focus is to develop the fully biodegradable green composites in which matrix material is selected as Polylactic Acid (PLA) reinforcement with jute and sisal fiber using hand layup followed by a compression molding technique. Composites are developed with different volume fraction from 25% to 50% and different temperature from 165°C to 195°C. Furthermore, the study of the failure mechanism of the tested specimens will be done with the help of a scanning electron microscope (SEM).
Prediction of Suitability of Soil for Different Crops using Spatial Data Mining
Authors:   Research Associate, School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India,, A Prathik. , J. Anuradha. ,   Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India,, K Uma. ,   Associate Professor, School of Advanced Science and Engineering, Vellore Institute of Technology, Vellore, India,
Published: November 2019

The main Objective of Data mining in agriculture is to improvise the productivity based on the data observed and timelines of cultivation. Spatial Data mining, a key to capture the data by proposing sensors on a particular geographical location and observe various parameters to enhance the productivity based on the statistical analysis of data collected. In general, Data mining is an anticipating measurement and prognosticates the various data sets and mutate into useful data sets which can be applied on various applications. In this paper, data mining is applied in bridging the soil conditions to the applicable crop for cultivation in enhancing the productivity and multiple crops cultivation for enriched productivity based on the data sets acquired. A Statistical analysis resulted from a backend algorithm with the data sets and displayed as dashboard with the forecasted productivity. A Grid based clustering algorithm is adhered at the backend for performing analysis on the collected data sets results crop selectivity & productivity timelines. Geographical analysis forms a grid pattern with multiple data sets as matrix results in multiple crop selectivity based on the soil conditions and analyzed data sets obtained from various sensor parameters on a particular location. Data visualization is performed after the algorithmic process at the backend and data stored in the cloud server. Spatial Survey & Collective data Sets analyzed with the algorithm are used to elevate the Crop Selectivity and productivity on a soil based on the Biological Predicts, defoliant and manure usage timelines yields Improved Monetary generation.
Enhanced Slope One Algorithm using Hierarchical Clustering and Trust Based Collaborative Filtering for Ecommerce Applications
Authors:   Research Scholar, Nehru Arts and Science College, T.M. Palayam, Coimbatore, Tamil nadu, India., Anitha*  , kumar D. Vimal ,   Associate Professor, Department of Computer Science, Nehru Arts and Science College, T.M. Palayam, Coimbatore, Tamil nadu, India.
Published: November 2019

Collaborative filtering algorithm will be one among the assisting techniques delivering customized suggestions in the area of ecommerce. Nevertheless, conservative techniques concentrated in operating with client’s review and will not take into account of alteration of customer’s desires along with reliability of rankings associated. Huge quantity of increase in clients along with items resulted in certain critical complexities. Fresh Suggestion strategies will be required. Slope One algorithm might perform well with the motivation of minimized inadequacy of rankings, enhanced precision of suggestion. On the other hand increase in number of clients, resulted increased consumption duration. Establishment of solutions for complexities to extend adjacency space via utilization of clustering strategies will be carried out. Fundamental motivation of the paper relies with investigating feasible influence of utilizing trust measures in enhancing the quality of suggestions. This paper highlighted the significance of Trust in determining solutions for providing suggestions. Slope one algorithm incorporated with hierarchical agglomerative clustering technique performed superiorly while evaluated with trust metrics and solved the problem of huge amount of information associated with Trust aware information.
Reimagining the Future of Healthcare Industry through Internet of Medical Things (IoMT), Artificial Intelligence (AI), Machine Learning (ML), Big Data, Mobile Apps and Advanced Sensors
Authors:   Associate Professor, Department of Human Resource Management R V Institute of Management Bangalore – 560 041 Karnataka, India., Venkatesh Dr.A.Narasima
Published: November 2019

From Bluetooth enabled hearing aids to robotic caretakers, wearable and smart devices industries are immensely contributing to the development of the healthcare industry with the help of Internet of Things (IoT). Latest technologies like Artificial Intelligence, 3D Printing, Big data, Machine Learning, Advanced Sensors, Mobile Applications and other technologies will continue to generate lot of opportunities for Medtech organizations. Some of the latest healthcare innovations practiced at present might have been seen or read by some of us only in science fiction movies or science fiction stories a long ago. Presently, IoT and Artificial Intelligence is creating a revolution in healthcare industry when it comes to diagnosis and treatment of varied diseases. From smartphones to robots, artificial intelligence is already making its presence felt in healthcare industry and as such it is progressively recognizing the transformative nature of IoT technologies which drives innovation in the development of connected medical devices. Gradual increase in the number of connected medical devices with the advent of technology advancements helps to capture and transmit medical related data wherever and whenever required to the concerned people and thus, it gave birth to the Internet of Medical Things (IoMT), where the Internet of Things (IoT) and healthcare meet. The IoMT helps to constantly monitor and alter (if required) the behvaiour of the patient and his/her health status in real time and also supports healthcare organizations to effectively streamline clinical processes, patient information and related work flows to enhance its operational productivity. The IoMT has made and continues to make the delivery of P4 Medicine (Predictive, Preventive, Personalized and Participatory) even for remote locations with the help of connected sensors and devices helping in real-time patient care. IoMT helps doctors and caregivers to provide patient care and support by constantly monitoring data related to patients through mobile apps and connected medical devices even when patient(s) or doctor(s) are located at remote locations. This research paper discusses about six use cases explaining how IoMT is applied in healthcare industry.
Secure Blockchain Voting Technology
Authors:   assistant professor at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, Dayana Mrs. Baby D. , Nishanth S. ,   student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram ., krishna A.D. ,   student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, Nitish R.D. ,   student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram
Published: November 2019

The n paper-ballot voting system and Electronic voting machines (EVM’s) has provided long term trust among the various places in the world for the purpose of voting. But each of the systems have their own flaw. Introduction of Blockchain for the purpose of Voting can be a remarkable change in the voting system which will be trusted globally. This Paper discusses about casting vote on a blockchain which improves the efficiency of the voting process and also the security of the vote which has been cast by the citizen.
The Effect o f Plant Protection Products a nd Albite o n t he Productivity a nd Quality o f Fodder Galega (Galega Orientalis)
Authors:   FGBOU VO «Mordovia state university named N. P. Ogareva», Saransk, Russia, Eryashev Alexsandr Pavlovich , Timoshkin Oleg Alekseevich ,   FGBNU FNTS LK «Penzenskiy ISKH – filial FGBNU Federal'nyy nauchnyy tsentr lubyanykh kul'tur» Penza, Lunino, Rossi
Published: November 2019

The research was aimed at scientific substantiation of the possibility to reach high productivity of fodder galega due to the use of plant protection products and the Albite growth regulator, and their effect on the fodder quality. To achieve this goal, the effect of these factors on the yield of green mass and dry matter, on the collection of gross energy, metabolizable energy of feed units, and digestible protein was studied in 2012 – 2014 during the field experiments and in laboratory studies. As a result of the studies, it has been found that galega had the greatest yield of dry matter, metabolizable energy, energy feed units, and digestible protein on the nonpesticide background with plants double sprayed with Albite, and on the pesticide background — in the phase of spring aftergrowing and budding. Prevailing accumulation of crude protein and calcium in the green mass was on the nonpesticide background with double spraying with Albite; of crude fiber — on the pesticide background in the phase of spring aftergrowing; of crude ash — in the phase of seedling + budding; and of crude fat — without introducing any growth regulator. Plant protection products and Albite did not significantly increase the concentration of nitrogen-free extractives (NFE) and phosphorus. The studied factors did not affect the content of gross energy (GE), metabolizable energy (ME) and energy feed units (EFU) in 1 kg of dry matter of galega green mass, and did not increase the concentration of digestible protein in EFU.
Epizootiological Situation for Cryptosporidiosis in Industrially-Bred Pigs in the Northwestern Region of the Non-Black Soil Zone of the Russian Federation
Authors:   Federal State Budgetary Educational Institution of Higher Professional Education “Vologda State Dairy Farming Academy named after N.V. Vereshchagin”, Vologda, Russia., Kryazhev Andrey Leonidovich , Novikov Artyom Sergeevich ,   Federal State Budgetary Educational Institution of Higher Professional Education “Vologda State Dairy Farming Academy named after N.V. Vereshchagin”, Vologda, Russia.
Published: November 2019

The paper presents the results of an epizootiological study of pig cryptosporidiosis in the Northwestern region of the Russian Federation using the example of the Vologda Region. It has been established that cryptosporidiosis in pigs is accompanied by the signs of diarrhea, anorexia and dehydration; it inhibits and reduces body weight gain and causes the death of animals. Cryptosporidiosis has a pronounced seasonal dependence: the peaks are in autumn and spring. Sucker piglets are most susceptible to the infection during the first month of age, especially during the first two weeks of life. Often, Cryptosporidium infection occurs in association with other parasitic intestinal protozoa.
Surface Morphology: Theoretical Model and Correlation with Experimental Results
Authors:   Facultad de Arquitectura, Diseño y Urbanismo, Universidad Autónoma de Tamaulipas, Tampico, México., Suárez-Domínguez* Edgardo
Published: November 2019

In this work, we propose a model for the description of the surface morphogenesis of a dispersed system of the solid-solid type. To obtain the model, stochastic formalism based on the master equation and the principles of fractal geometry was applied, so that the surface morphology is characterized by the fractal dimension and the roughness exponent, which are expressed as a function of the composition of the dispersed system and the dynamic parameters associated with surface formation. Theoretical results obtained were compared with experimental results, finding that the variable that shows a significant effect on the morphology of the surface of the solid-solid dispersed system is the specific surface area of the particles of the dispersed phase found in the surface, as predict theoretically.
Effect of Financial Liquidity, Audit Rotation and Audit Tenure on Financial Statement Fraud
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Handoko* Bambang Leo , Armand Wishnu Kameshwara ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Marpaung Ari Tihar ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Maria Syntia Yohana ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia
Published: November 2019

Cases of financial statement fraud today are increasingly prevalent. Cases of this type of fraud result in material losses that are not insignificant. Many investors and creditors as well as the general public are victims of this type of fraud. Not only in European and US countries, in Indonesia there are also many cases of fraudulent financial statements. Financial statement fraud can occur due to many things. This study aims to analyze the effect of financial liquidity, audit rotation and audit tenure on financial statement fraud. Population determined is a manufacturing company with a food and beverage subsector listed on the Indonesia Stock Exchange period 2013-2018. The sample selection is done by purposive sampling technique, the sample results that meet the criteria are 78 samples. The research method used is multiple linear methods, where the results of the research partially show that the liquidity financial variable does not significantly affect fraudulent financial statements, variable audit rotations significantly influence fraudulent financial statements, and variable audit tenure does not significantly influence financial statement fraud.
An Auto desk Modeling of Urbanization by Vertical Multistoried Structures over Incompetent Soils
Authors:   Department Civil Engineering, Centurion University of Technology and Management, Odisha, India., Behera* Suman Kumar , Mishra Siba Prasad ,   Department Civil Engineering, Centurion University of Technology and Management, Odisha, India., Panda Sagarika ,   Department Civil Engineering, Centurion University of Technology and Management, Odisha, India., Siddique Mohammed ,   Department Mathematics, Centurion University of Technology and Management, Odisha, India
Published: November 2019

The vertical growth of multi storied buildings has become requisite considering limitations on housing area and upsurge in population growth. Cities with population density >10000 person/Km2may go for high rise buildings. Multiple cases of foundation failure have been observed around the globe due to incompetent soil, weak foundation, poor building materials, faulty workmanship, excess superimposed loading, want of geotechnical investigations, and failure analysis. The analysis and design of multistoried buildings [minimum G +3]is of demand in urban and economically sound areas. The STAAD. Pro is an efficient tool adhering to IS specifications for design of structures by limit state design to avoid erroneous computations, cumbersome and time consuming processes of manual calculation in India. The software is user interface to visualize, analyze and design structures by radical finite element technique and has dynamic analysis abilities. The present work is a 3-D RCC frame having 4 bays x5m along x-direction and 3 bays x5m in z- direction were taken where each floor has 299 beams and 40umns at different elevations in each floor subjected to dead, live , wind and seismic loads as per Indian beneath different load arrangements, considering structural safety under minimum requirements. The perception levels against vibrations and different foundations against failure (especially pile foundation) is stressed for a safe, comfortable multi storied building in Indian soil.
Impact of Schedule Management Plan on Project Management Effectiveness
Authors:   Assistant Professor, Department of Mechanical Engineering, Kongu Engineering College, Erode, Tamil Nadu., Suresh* D. , Sivakumar Dr.A. ,   Faculty of Mechanical Engineering, Kongu Engineering College, Erode, Tamil Nadu.
Published: November 2019

Project management is a strategy implemented in service and manufacturing sector organisations to manage the effective completion of a project. The successful running of an organization, i.e. the organizational performance and timely achievement of goals depends on the effective project management. Schedule management is a process of controlling, scheduling, and monitoring the entire working process of an organization. Thus, it is relevant to have efficient schedule management plan implemented in the organization to have effective project management. This study aimed to check the impact of schedule management planning on project management effectiveness. A close ended questionnaire is used as a tool to collect the data on the perception of 208 employees about relevance of schedule management planning in their project management strategy. The analysis shows that factors affecting schedule management plan does have a significant and positive impact on project management effectiveness. The findings of this study can be used by organisations, particularly in the manufacturing sector, to correctly identify the project management parameters that require more attention and utilize schedule management planning to enhance the effectiveness of their operational processes.
Reinforcing Adhesive Plastic-Coated Grins through FRP Compounds
Authors:   Department of Mechanical Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana 500100, India., Kumar T. Naresh , Saravanan A.K. ,   Department of Mechanical Engineering, Rajalakshimi Institute of Technology, Chennai India, Jose. S. Shylin H. ,   Department of Mechanical Engineering, Adhiyamaan college of Engineering, Hosur-635109, India., Ravikumar L. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Sudhakar *M. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai
Published: November 2019

This paper portrays the strategy for upgrading the vitality and solidness attributes of wooden and diverse wood basically based glulam frameworks. The need for fortifying structures - timber frameworks comprehensive – is because of weakening through additional transporter use, age and the need for economical advancement done by utilizing turning away destruction and re-creation. Fortified FRP Composite substances were shown to be a viable chance to regular steel plate reinforcing techniques for solid frameworks from results of a determination of scientists during the last two numerous years; this paper investigates utilizing this material for same fortifying reason in timber structures. The sum total of what examples had been inspected underneath 4 factor bowing at a stacking addition pace of 0.5kN, the horizontal diversion had been recorded much of the time. The information preparing comprised of burden, diversion and second shape plots creation which were then utilized for assessment and perceptions.
Experimental Research o n Hybrid Natural Glass Fiber Based Epoxy Composite
Authors:   Department of Mechanical Engineering, Easwari Engineering College (Autonomous), Chennai, Yuvaraj *G. , Ramakrishnan G. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Elayaraja T. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Srinivasan G.V.Ragul ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Hariharasudhan T. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai
Published: November 2019

Polymeric substances fortified with engineered strands like glass, carbon, and aramid give addition of over the top firmness and vitality to weight proportion when contrasted with ordinary substances like wooden, concrete and numerous others. In spite of those favors present day examines are occurring inside the territory of home grown composites because of low primer cost and accessibility of simplicity. Hand arrangement approach is utilized for setting up the examples, with different weight division of bi-directional glass fiber. The proportion of filler is fixed with/without 10 wt.- %. Examples were cut from the created overlay with regards to the ASTM norms for various tests. The precise experimentation prompts self discipline of good estimated way parameters and texture factors that dominatingly impact the harm charge. It has been found that put on rate lower with developing fiber weight rate. Mechanical homes of composites are increments with development of fiber stacking. The mechanical and wear conduct of stuffed composites is more noteworthy propelled then unfilled composites.
Experimental Research on Musa Sepientum and Hen Egg Shell Hybrid Reinforced Composite Material
Authors:   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Murugan *M. , Banu T.Vinithra ,   Department of Mechanical Engineering, Prince Shri Venkateshwara Padmavathy Engineering College,Ponmar-600127, India, Shanthi C. ,   Department of Mechanical Engineering, Madha Institute of Engineering and Technology,Chennai India, Dasaradhan K. ,   Department of Mechanical Engineering, Madha Institute of Engineering and Technology, Chennai India, Siddharthan U.K. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai
Published: November 2019

A hybrid reinforced composite material which composite comprises banana fiber modified to powder form, egg shell modified to fine powder ,the said powders of said natural fibers being mixed in a matrix of bio epoxy resin using a catalyst to effect complete mixing of the said powdered fibers to yield the said hybrid reinforced composite, the said hybrid composite capable of being molded to any geometrical object, the said composite having a low water retention property with retention being in a range of 14-23% with a soaking time of 120hrs. Before and after chemical treatment in both with and without moisture, the young’s modulus varies from 12321.5241 N/mm2 to 25779.2532 N/mm2 , the flexural values varies from 17.4 N/mm2 to 25.5 N/mm2 , impact strength varies from 12.6 J to 20.9 J ,% of elongation varies from 5.6% to 10.1%.
Modeling of Residual Stress and Surface Damage of AISI 4340 using Copper Tungsten T ool in Die S inking EDM
Authors:   Department of Mechanical Engineering, Integral University, Lucknow, India., Rizvi* Syed Asghar Husain , Bharti Prem Kumar ,   Department of Mechanical Engineering, Integral University, Lucknow, India., Agarwal Sanjay ,   Department of Mechanical Engineering, B.I.E.T., Jhansi, India.
Published: November 2019

The present work concentrates on the modeling of the residual stress and cracks induced during the machining of AISI 4340 in die-sinking EDM. Response surface methodology with rotatable central composite design is used with peak current, pulse on duration, voltage and pulse duty factor as process parameters. The relation between these process parameters and induced residual stress and cracks is established. The results of ANOVA elucidates that the present model is significant. Voltage and pulse on time are observed to have major dominance on residual stress. The SEM images reviled that micro-cracks resulted from the thermal stresses developed during machining of the workpiece. At higher levels of pulse on duration, wider cracks are observed due to high thermal gradients.
Detection of FAKE NEWS on SOCIAL MEDIA using CLASSIFICATION Data Mining Techniques
Authors:   Research scholar, MD University, Rohtak, India., Sharma* Deepak , Singhal Shilpa ,   PG student, C-DAC, GGSIP University, New Delhi, India.
Published: November 2019

In today’s world social media is one of the most important tool for communication that helps people to interact with each other and share their thoughts, knowledge or any other information. Some of the most popular social media websites are Facebook, Twitter, Whatsapp and Wechat etc. Since, it has a large impact on people’s daily life it can be used a source for any fake or misinformation. So it is important that any information presented on social media should be evaluated for its genuineness and originality in terms of the probability of correctness and reliability to trust the information exchange. In this work we have identified the features that can be helpful in predicting whether a given Tweet is Rumor or Information. Two machine learning algorithm are executed using WEKA tool for the classification that is Decision Tree and Support Vector Machine.