bluuebunny/crossref_metadata_2025 huggingface dataset:
Adsorption Kinetics and Equilibrium Isotherms Modeling of H2S on Hydrogel Biochar and Biochar Adsorbent from Rice Husk
Authors:   Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Abd Rahman* Ashadi Azwan , Alias Azil Bahari ,   Centre of Industrial Process Reliability & Sustainability (INPRES), Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Hamzah Muhamad Ariff Amir ,   Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Aidil Ali Mohammad ,   Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia.
Published: December 2019

Hydrogen sulphide is a poisonous gas that is commonly found in swamps and areas of high volcanic activities. Due to the dangers and hazards that it may impose such as neurological disorders and miscarriages, continuous innovative attempts to remove the gas are in place. A study was conducted to synthesize an adsorbent that is made from activated rice husk biochar and also hydrogel biochar. This study is complementary to that study where the adsorption processes using the two adsorbents are mathematically modelled. Three parameters were studied which were the adsorbent mass, the gas flow rate, and the gas temperature. It was found that for rice husk-based activated biochar, for all three parameters, the adsorption processes could be mathematically represented using Thomas Model and Yoon-Nelson Model. Meanwhile, for rice husk-based hydrogel biochar, the adsorption process could be mathematically represented using Thomas and Yoon-Nelson Model for the effect of mass of adsorbent, and Adam-Bohart for the effect of gas flow rate and gas temperature. Although the coefficient of determination (R2) suggested that Thomas and Yoon-Nelson Model are more appropriate to be used to model the latter two parameters, because the exit concentration reached the point when it was greater than half the inlet concentration well before 0-th second, the linearly regressed equation became mathematically inconsistent with the isotherm models. Kinetic studies were also done, and it was found that the adsorption processes using the activated biochar fit both pseudo-first and pseudo-second order equation. This means that the adsorption processes using the activated biochar are both physisorption and chemisorption. Meanwhile, the adsorption processes using the hydrogel biochar fit only the pseudo-second order equation, suggesting that the adsorption process is chemisorption.
Modern Determinants of Economic Security Management of States in Conditions of Globalization and Stability Development
Authors:   Department of Law and European Integration, Dnipropetrovsk Regional Institute for Public Administration, National Academy for Public Administration under the President of Ukraine, Dnipro, Ukraine., Bashtannyk Vitalii V. , Lopushnyak Galyna S. ,   Personnel Management and Labour Economics Department, Personnel Management, Sociology and Psychology Faculty, Kyiv National Economic University named after Vadym Hetman, Kyiv Ukraine, Bielska Tetiana V. ,   Department of Management and Public Administration, O. M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, Ukraine, Nemesh Petro F. ,   Department of Civil Law and Civil Procedure, Uzhhorod National University, Uzhhorod, Ukraine, Muzyka Yuliia ,   Department of Economics, Entrepreneurship and Natural Sciences, Educational-Scientific Institute of Management, Economics and Nature Management, Taurida National University named after V. I. Vernadsky, Kyiv, Ukraine
Published: December 2019

The scientific novelty of the article is a developed methodology of the world countries' classification regarding the quality of economic security management and the possibility to develop an exclusive set of actions directed towards optimization of such management. It has been proved using an example of Ukraine. The research methodology is based on systematic and historical approaches to the disclosure and resolution of the issues of economic security management in economically developed countries of Europe and European countries that develop their own economic systems, taking into account the processes of globalization and ensuring their sustainable development. In this case, the historical approach is based on the study undertaken during a certain period of time (2012-2018), and the systematic approach is aimed at the assumption of connection and mutual influence of economic security of different European countries, which operates as a single system. To conduct the research data and empiric analysis of seventeen countries of Western (Germany, France, Great Britain, Spain, Italy), Eastern (the Russian Federation, Latvia, Lithuania, and Estonia), and Central Europe (the Czech Republic, Bulgaria, Hungary, Poland, Slovakia, Romania, and Ukraine) in 2016 – 2018 have been taken and analyzed. Policy considerations: -economic security is the main element of the countries’ national security provision under globalization and their stable development; - the required level of economic security can be reached only within management based on a set of key determinants; - economic security management varies significantly in different world countries in conditions of their operation as parts of the world economic system; - some world countries, which are developing their own economic systems, for example Ukraine, have special problems in economic security management at the national level; and they need development and implementation of exclusive optimization sets of such state institutes’ management activities.
Newly Proposed k-NN Method for More Efficient Classification
Authors:   Master degree in Business Analytics from Sofia University “St. Kliment Ohridski, Sandakchiev Danail
Published: December 2019

The purpose of this paper is to examine a new classification algorithm based on the well-known k nearest neighbors technique that achieves better efficiency in terms of accuracy, precision and time when classifying test observations in comparison to classic k nearest neighbors.The proposed methodology splits the input dataset into n folds containing all observations. Each record is allocated to one of the folds. One of the folds is saved for testing purposes and the rest of the folds are used for training. The process is executed n times. The pair of train/test subsets which produces the highest accuracy result is selected as final model for the respective input data.18 different datasets are used for experiments. For each dataset, the classic k-NN is compared to the proposed method (Mk-NN) using accuracy, F1 score and execution time as metrics. The proposed approach achieves better results than classic k-NN according to all used metrics.Based on experiments with validation subsets, evidence of overfitting was not found.This paper suggests a novel method for improvement in accuracy, precision, recall and time when classifying test observations from a dataset. The approach is based on the concept of k nearest neighbors. However, what separates it from classic k nearest neighbors is that it tries to find train and test subsets of the original dataset that best represent the input dataset using the k-fold method.
Time and Area Efficient 2-D DWT using Multiplier-less Canonic Signed Digit Technique
Authors:   Assistant Professor, Department of Electronics and Communication, NRI Bhopal, Jain* Akhilesh , Rushiya Karishma ,   M. Tech Scholar, Department of Electronics and Communication, NRI Bhopal, Singhai Dr. Rakesh ,   Dy. Registrar (Admn.), RGPV, Bhopal
Published: December 2019

A few models have been recommended for proficient VLSI usage of 2-D DWT for constant applications. It is disc overed that multipliers devour more chip zone and expands multifaceted nature of the DWT design. Multiplier-less equipment usage approach gives an answer for diminish chip region, lower equipment intricacy and higher throughput of calculation of the DWT design.The proposed design outline is (i) priority must be given for memory complexity optimization over the arithmetic complexity optimization or reduction of cycle period and (ii) memory utilization efficiency to be considered ahead of memory reduction due to design complexity of memory optimization method. Based on the proposed design outline four separate design approaches and concurrent architectures are presented in this thesis for area-delay and power efficient realization of multilevel 2-D DWT.In this theory a multiplier-less VLSI engineering is proposed utilizing new dispersed number juggling calculation named CSD. We show that CSD is an effective engineering with adders as the principle part and free of ROM, duplication, and subtraction. The proposed design utilizing CSD gives less postponement and least number of cut thought about the current engineering. The reenactment was performed utilizing XILINX 14.1i and ModelSim test system.
Performance of Improved speed pipelined floating point multiplier Architecture
Authors:   Assistant Professor, Department of ECE,MallaReddy Engineering College (A),Telangana India., Prasad. K* Dr. Rajendra
Published: December 2019

Multiplier is a hardware component which usually covers an important chip area and must be reduced to create lots of functions in which multiplier frames shape an essential structure, including digital signal processing (DSP) systems and analytical approaches. The benefit of floating point representation across a fixed point (and integer) view is that a wider range of values can be represented. Since floating point numbers are stored in sign-magnitude type, the multiplier also requires unwritten integer numbers and standardization. The multiplier with the algorithm Revised Booth and save adder is one way to speed up the multiplier. The algorithm of Revised Booth reduces the number of incomplete products to create and is regarded as the quickest algorithm of propagation.
Performance of Improved FIR filer using FPGA
Authors:   Assistant Professor, Department of ECE,MallaReddy Engineering College (A),Telangana India., Prasad. K* Dr. Rajendra
Published: December 2019

A crucial part of the digital system is the FIR filter where its framework is robust and simple to connect. In this paper, a regular FIR filter and an optimized FIR filter were modeled using window functions. The FIR filter was designed and contrived by FPGA for digital signal filtering. Also in this paper, a regular FIR filter and an optimized FIR filter were built with window usability. The main characteristic of the application is the Xillinx ISE development suite program to build the FPGA data filter accelerator. The paper also simulates the hardware and software co-designed FIR filter and provides simulation findings about hardware assets and variations in quality compared to the standard and improved FIR filter.
Higher Payload Capacity in DNA Steganography using Balanced Tree Data Structure
Authors:   Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh., Saha Partha , Pinky Lubna Yasmin ,   Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh., Islam *Mohammad Ashraful ,   Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh., Akter Papia ,   Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh.
Published: December 2019

In recent years, with the huge expansion of internet and communication technology, the data transmission rate has increased exponentially. The threat of unauthorized penetration to the secret messages during transmission has become a major concern for data integrity. Cryptography and Steganography are two well-known techniques used to secure and hide confidential data from the intruders. Cryptography is used to obscure the secret message whereas Steganography embeds the messages into a cover media and conceals the presence of secret information. In DNA steganography, DNA molecular sequence is used as a cover medium. In the field of steganography, Payload capacity is the measurement of hiding intended messages in cover media. The Capacity of hiding messages in cover media is one of the prime challenges in the field of steganography. The principal study of this research is to provide a new framework using DNA steganography that provides a higher payload capacity. We have used balanced tree data structures for message encoding where the leaf node contains the intended message. This unique process of message encoding and decoding guarantees a payload capacity of ≥ 0.50.
Water Reservoir Area and Volume Determination Using Geoinformation Technologies and Remote Sensing
Authors:   Researcher of Hydrotechnical structure and engineering construction department, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Uzbekistan., Khojiakbar* Khasanov , Masharif Bakiev ,   professor and head of Hydrotechnical structure and engineering construction department, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers. Uzbekistan., Jamshid Choriev ,   Hydrotechnical structure and engineering construction department, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Uzbekistan., Aziz Jahonov ,   Assistant of Hydrotechnical structure and engineering construction department, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Uzbekistan., Azat Khalimbetov ,   Assistant of Hydrotechnical structure and engineering construction department, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Uzbekistan.
Published: December 2019

This article presents the method for calculating the area and volume of the water reservoir using Remote Sensing and Geoinformation Technologies. All calculations were performed for the Tashtepa water reservoir which recommended for construction in the Tashkent region. The territory of Tashtepa water reservoir was explored using the Google Earth program, was identified the alignment for the construction of dams, and the file was saved as a KML (Keyhole Markup Language) format. The alignment and the digital elevation model of the reservoir area from the online database were uploaded to the Global Mapper program which one of the geographic information system programs. Contours were formed in the digital elevation model, there was defined the longitudinal profile of the alignment along dams, surface and volume of the water reservoir were obtained for each circuit and based on the results were obtained curve lines between contour and area F=f(H), contour and volume W=f(H).
The Copyright Protection System Through the Art Community Paradigm in Indonesia
Authors:   Diponegoro University, Semarang, Jawa Tengah, Indonesia., Sulistyawan* Aditya Yuli
Published: December 2019

The copyright protection system born from developed countries with the philosophy of 'individualism' dominates the dynamics of legal regulation in the world. No exception in Indonesia, arrangements regarding Intellectual Property Rights cannot be avoided since the entry into force of the Trade Related Aspect of Intellectual Property Right (TRIPs). Various instruments of copyright law are taken for granted in Indonesia, which then present problems because of their incompatibility with the Indonesian context which philosophically adheres to the principle of collectivity and mutual cooperation. As a result, Indonesian artists feel that the presence of a system of copyright protection is actually considered a burden on their creative work. With research carried out in the qualitative tradition and constructivism paradigm, this paper will discuss the study of legal philosophy regarding the problematic system of copyright protection in the midst of the life of the arts community in Indonesia. Efforts to protect copyright that are in line with the philosophy and needs of artists in Indonesia should be of concern to the current government.
The Robust Computer Aided Diagnostic System for Lung Nodule Diagnosis
Authors:   Research Scholar, Dept. of CSE, AcharyaNagarjuna University, Guntur, A.P., Babu* Popuri Ramesh , Babu Dr Inampudi Ramesh ,   Professor, department Professor, Dept. of CSE, AcharyaNagarjuna University, Guntur, A.P., Srinivasu Dr SVN ,   Professor, Dept. of CSE, Narasaraopeta Engineering College, Narasaraopet, Guntur, A.P.
Published: December 2019

Lung cancer has been the numerous dangerous among all other variations of cancer. The fast detection of cancer is conjectured to improve the persistence rate of people living with cancer. Our objective is to present an adequate Computer-Aided Diagnosis (CAD) for the identification of lung nodules from the parenchyma area of the lung and yield the nodule into except cancerous or non-cancerous. In this suggestion, A new Hybrid Classifier method has been Prescribed to detect lung nodules based on numerous image processing and machine learning approaches. The construction of this hybrid system is the combination of unsupervised Enhanced Fuzzy C-Mean (EFCM) clustering and Weighted supervised support vector machine (WSVM). The suggested process includes the subsequent operations: i) the image used is magnified originally. Then the area of concern is cropped, where the user can choose the area to be cropped. ii) The morphological process is implemented to overcome the blood vessels and magnify the nodules. iii)Nodules are distinguished by labeling.iv)Those classified nodule's characteristics are obtained.v)Neural networks are performed as the classifiers that work primarily based on the features chosen. And also, this proposed flexible computing system was associated with the various well-known learning Techniques. The WSVM for analysis is exhibited in this paper, where the execution of misclassification for each practice sample is unusual. The proposed work was capable of detecting the lung nodule that appears near the lung wall. The Provisional results intimate that the recommended method defeats the impact of outliers and yields higher classification speed than previous algorithms.
Implementation of Wireless Sensor’s Integration Possibilities and Attacks on Wireless Network Control
Authors:   Assistant Professor, Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, INDIA., R* Ms.Poonkodi. , Selvam Dr.N. Saravana ,   Professor, Department of ECE, PSR Engineering College, Sevalpatti, Sivakasi.Tamilnadu, INDIA.
Published: December 2019

Collection of independent sensor nodes is primarily used as a combination of wireless detection and data networks are called wireless sensor networks (WSN). Wireless networks face many unacceptable security threats as these types of sensors are used primarily in many critical tasks such as military applications, claims management, environmental conditions, health applications, and more. Although the energy problem of the sensor network is more critical due to the absence of sensor nodes. The suggestion that other classes of source-based attacks are referred to as vampire attacks. Vampire attacks result in greater use of power during message delivery, which in turn prevents the entire network from quickly emptying node batteries. Because it uses protocol complaint messages to create attacks that make it difficult to detect and prevent. In this article, we intend to study and analyze vampire attacks and their effects on WSN. We also study cryptographic techniques using solutions for these types of attacks. This document explores the investigation of vampire attacks and their solution is provided in combination with the Minimum Spanning Encryption (MST) and RC5 techniques.
An Architectural Design Proposal to Implement Li-Fi Framework
Authors:   Department of Information Science and Engineering, NMAM Institute of Technology, Nitte,India., Devidas*  , Pai Vasudeva ,   Department of Information Science & Engineering, NMAM Institute of Technology, Nitte, Karnataka, India., Rao Abhishek S. ,   Dept. of Information Science & Engineering, NMAM Institute of Technology, Nitte, India., Kumar H S Ranjan ,   Department of Computer Science & Engineering, NMAM Institute of Technology, Nitte, Karnataka, India., R. Balasubramni. ,   Department of Information Science and Engineering,NMAM Institute of Technology,Nitte,India.
Published: December 2019

Harald Haas, a German physicist, invented the concept of Li-Fi abbreviated to Li-Fi. Li-Fi is the communication between two LED light sources by transmitting information through light in a speed faster than a human eye can detect. This paper explores the usage of LED light to act about as a Li-Fi source to transmit data. The information is caught utilizing the receiver device which is attached to an Android cell phone. This paper proposes a methodology on working up a Li-Fi based framework to facilitate the navigation inside a shopping mall using visible light.
A Fact-Finding Research on the Employment Stressors and its Imprint on the Work Satisfaction of the Teaching Fraternity working in Public and Private Schools
Authors:   Research Scholar, School of Management, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science & Technology, Chennai, India., Harish* K.A. , Prabha Dr.B.Jeya ,   Professor, School of Management, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science & Technology, Chennai, India.
Published: December 2019

Stress for teachers is a growing concern, as they incessantly adhere to long working hours and conditions of overwork, unpredictable and the fearness of safety of job, low morale and motivation leading to dissatisfaction in job and lack of authority and responsibilities in roles of decision making. These factors contributing to workplace stress has proved to stand as a detrimental effect on the health conditions, both mentally and physically thereby affecting the wellbeing of teachers. Stress is considered unavoidable in a person’s life due to heavy workload and increasing stressors which lead to more complex and multiple problems in everyday life of oneself. This leads to the negative impact on workplace productivity affecting the development and the progress of the workplace. Teaching as an occupation is regarded as a noble profession but it requires increasing the mental abilities due to an overwhelming and cut-throat competition which sometimes becomes highly tedious. A sample size of N=500 is taken for the study and the sample population was identified within the teachers of Chennai and its outskirts of both private and government schools. This study emphasizes the factors that cause stresses amongst the teachers and a comparative study between the private and the government teachers is also carried out to analyze the level of occupational stress and job satisfaction on various stressors.
Identification and Characterization of Solar Cell Defects using Thermal Imaging
Authors:   Associate Professor, EEE, Noida Institute of Engineering & Technology, Greater Noida, India, Kamal* Neel , Shekher Vineet ,   Associate Professor, EEE, Noida Institute of Engineering & Technology, Greater Noida, Choudhary Surya Deo ,   Assistant Professor, ECE, Noida Institute of Engineering & Technology, Greater Noida, Tiwari Vikash ,   Assistant Professor, EEE, Noida Institute of Engineering & Technology, Greater Noida
Published: December 2019

Solar energy has been a basic need since aware of the energy crises throughout the world. Now the researchers are turning toward solar photovoltaic (PV) power system for future energy needs. However, some drawbacks of the field testing are existing with photovoltaic modules such as cost and heavy dependence on the weather conditions. The problems associated with photovoltaic system are the non-linear supply of power and it leads to complexity in matching the load. The PV solar module produce the nonlinear that changes with the variation in solar irradiance during entire day. Research work is on improving the performance, quality and reducing its cost. Researchers face the challenges in fabrication and materials used and due to this fact its performance decreases. In this paper, a method has been introduced to locate shunts using thermal images. IR inspection is used to observe the location of such shunts. After the electrical testing and measurements of the characteristics, the effect on degradation on solar cell materials from light IV curves and dark IV curves has been depicted. The shunts are isolated and performance is tested again and compare to observe.
Legal Nihilism in the Context of the Implementation of Amnesty and the Social Consequences of its use (on the Example of the Russian Federation)
Authors:   Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia., Kochetkov* Andrey Valentinovich , Kohman Dmitry Vadimovich ,   Voronezh Institute of the Federal Penitentiary Service of Russia, Voronezh, Russia., Pronina Ksenia Yuryevna ,   Academy of the Federal Penitentiary Service of Russia, Ryazan, Russia., Remizova Leila Sarvarovna ,   Academy of the Federal Penitentiary Service of Russia, Ryazan, Russia., Khoroshko Irina Vyacheslavovna ,   Academy of the Federal Penitentiary Service of Russia, Ryazan, Russia.
Published: December 2019

The article deals with the peculiarities of the interaction of such legal phenomena as legal nihilism and amnesty. Based on a comprehensive analysis of these phenomena, the authors substantiate the opinion that the issue of an amnesty act can have both positive and negative social consequences, which reflect the dual nature of legal nihilism: the combination of both destructive manifestations and a positive impact on social relations.
Improvement of the Business and Personal Qualities of a Manager
Authors:   WSB University in Szczecin, Wojska Polskiego Street, 128, 70-491, Szczecin, Poland, Sadovnicova* Ludmila , Kokel Anzej ,   WSB University in Szczecin, Wojska Polskiego Street, 128, 70-491, Szczecin, Poland, Matushinska\ Anna Adamus ,   University of Economics in Katowice, 1 Maja Street, 50, 40-287, Katowice, Poland
Published: December 2019

The problem of using the most capable people for managerial activities in the management system is a problem of state, strategic and social significance. The identification of business and personal qualities of candidates for senior positions and the creation of a system of selection and training of managers are among the most important tasks associated with the improvement of personnel policy. The so-called "scientific management" involves the introduction of special techniques developed by sociologists and psychologists to determine the business and personal qualities of a future leader.
Аprospects for the Development of Family Entrepreneurship in the Digital Transformation of the Economy
Authors:   Russian State University of Justice, Moscow, Russia., Levushkin* Anatoly Nikolaevich , Matveev Pavel Aleksandrovich ,   Russian State Social University, Moscow, Russia., Tolstova Irina Aleksandrovna ,   Tver State Technical University (TvSTU), Tver, Russia., Mitsyk Galina Yurievna ,   Moscow University of Humanities and Economics, Moscow, Russia., Avilova Natalia Leonidovna ,   Russian state University of physical culture, sport, youth and tourism (GTsOLIFK), Moscow, Russia.
Published: December 2019

The article is devoted to the substantiation of the prospects for the development of family entrepreneurship in the context of the digital transformation of the economy. It has been established that if family business is presented as a value and a competently built system of relationships in the family economy that is profitable and not just as property having a certain value, then it be-comes necessary to preserve this value within the family. It has been proved that without an active state policy, family entrepreneurship will remain only in the format of self-employment and will not be able to fulfill more significant socio-economic roles in the context of the digital trans-formation of the economy. It has been revealed that the main advantages of family entrepreneurship include the quick enterprise creation, freedom and independence in making decisions, high adaptation to the market, especially at the final product stage, significant motivation for effective work and high team cohesion.
Integrated Device Cloud Architecture for a Secure Cloud of Things Environment
Authors:   Research Scholar, Department of Computer Science, St. Joseph’s College (Autonomous), Affiliated to Bharathidasan University, Tiruchirappalli, India., Sanjeevi* Mr. V. K. , Raj Prof. Y. Sunil ,   Assistant Professor and Research Scholar, Department of Computer Science, St. Joseph’s College (Autonomous), Affiliated to Bharathidasan University, Tiruchirappalli, Tamilnadu, India, Rabara Dr. S. Albert ,   Associate Professor, Department of Computer Science, St. Joseph’s College (Autonomous), Affiliated to Bharathidasan University, Tiruchirappalli, Tamilnadu, India.
Published: December 2019

Though IoT could impart intelligence to the environment, without cloud it could not do wonders in real world in the present cloud of things era. Numerous applications including scientific, engineering and financial applications, were developed and architectures framed, where most of which always depend on cloud and internet of things for better effectiveness. Therefore blending IoT with Cloud is essential and would change the way internet is used presently. Deployment of smart devices on smart environment in colossal scale will be future more challenging. Lacking of scalable architecture will tremendously affect the management of sensors/devices, leading to inefficiency in applications. Realising this a secure device cloud architecture is proposed as cloud provides anything as a service, which is also depicted as cross cloud federation management. As devices are equipped with intelligence that is IoT enabled, and are hosted as clouds. Focus is on providing end-to-end security while delivering more reliable services in CoT environment.
HRV Analysis and Ventricular Arrhythmia Classification using various Classifiers
Authors:   Electrical Engineering Department, MMM University of Technology, Gorakhpur, U.P., INDIA., Gautam* Desh Deepak , Giri Vinod Kumar ,   Electrical Engineering Department, MMM University of Technology, Gorakhpur, U.P., INDIA., Upadhyay Krishn Gopal ,   Electrical Engineering Department, MMM University of Technology, Gorakhpur, U.P., INDIA.
Published: December 2019

Ventricular Arrhythmias are one of the fatal heart diseases, requires timely recognition. This paper deals with the classification of some of the ventricular arrhythmias as Premature Ventricular Contraction (PVC), Left Bundle Branch Block (LBBB) and Right Bundle Brach Block (RBBB) with some Normal (N) samples. A Support Vector Machine (SVM), Random Forest and Artificial Neural Network (ANN) classifier was trained and then tested with the help of online available MIT-BIH Arrhythmia Database. Signal processing, generation of Heart Rate Variability (HRV) signals from the available Electrocardiogram (ECG) signals and training and testing of ANN classifier was done in MATLAB environment, and the training and testing of SVM and Random Forest classifier was done in R project software. The SVM classifier was trained with the linear basis function and then with non-linear kernel based function to have better accuracy
Quantum Particle Swarm Optimization and Compressive Sensing-Based Clustering Protocol for Wireless Sensor Networks
Authors:   Assistant Professor Chandigarh University, Gharuan, Mohali, Punjab, India., Singh* Er. Prabhdeep , Gupta Dr. Anuj Kumar ,   Professor and Head Chandigarh Group of Colleges, Singh Dr. Ravinder ,   lecturer Beant College of Engineering and Technology, Gurdaspur, Punjab, India
Published: December 2019

Wireless sensor networks play important role to build various smart systems such as health, medical, military, etc. A wireless sensor network contains tiny sensor nodes to sense information of given environment. But these sensor networks are battery constrained. Therefore, become dead after certain period. Also, the batteries of these sensor nodes are not rechargeable and even not replaceable. Therefore, conserving the energy of these sensor nodes become more challenging. Many researchers have developed various protocols to reduce the energy consumption. But it is still defined as an open area of research. Therefore, in this paper, we have designed a novel quantum particle swarm optimization and compressive sensing-based clustering protocol. Extensive experiments show that the proposed protocol indicates better energy conservation as compared to the competitive protocols.
Solving SDST Flow shop Scheduling Problems using Hybrid Artificial Bee Colony Algorithms
Authors:   Mechanical Department, Swarnandhra College of Engineering & Technology, Narsapur, Andhra Pradesh, India., Kumar* R Sanjeev , Singh G Robert ,   Mechanical Department, Swarnandhra College of Engineering & Technology, Narsapur, Andhra Pradesh, India., Kumar N Mathan ,   Mechanical Department, Akshaya College of Engineering & Technology, Coimbatore, Tamil Nadu, India.
Published: December 2019

Sequence dependent setup time scheduling plays a vital role in real manufacturing industries. Setup time depends on the job sequence. Heuristic or dispatching rules are suitable for producing good initial seed sequence. For this reason, heuristic or dispatching rules based artificial bee colony algorithm is used to minimize the makespan and total flowtime in SDST shop problems. Computation result confirms that heuristic based method produced better result when compared to the dispatching based method. The recital of the algorithms is estimated by conducting Statistical test.
Density Based Spatial Clustering Application with Noise by Varying Densities
Authors:   Department of CSE, Sri VenkateswaraColllege of Engineering, Chittoor, India., Neerugatti* Vikram , Moni MokkalaKiram ,   Department of CSE, S,V University, Tirupati, India., Reddy A Rama Mohan ,   Department of CSE, S,V University, Tirupati, India..
Published: December 2019

Cluster algorithms are used for grouping up of similar points to form a cluster. It has seen mostly in Machine Learning algorithms. The most popular density-based algorithm is DBSCAN. DBSCAN can find the clusters, irrespective of its shapes and sizes of a cluster. DBSCAN algorithm can easily detect the noise in a clustering dataset. In the proposed algorithm we developed a model based on the existing dbscan algorithm. In the developed algorithm we focus mainly on the epsilon parameter value. Whenever the dbscan algorithm fails to form a cluster we increase the epsilon value by half of its original size. We repeat this step until a cluster is formed. Whenever a cluster is newly formed we change existing epsilon parameter value by adding the 10 percent of the previous used epsilon parameter value. We use epsilon for varying the density of a cluster. So, we can use the dbscan algorithm with the varying density values for developing a cluster. We applied this algorithm on the various datasets.
Billing Monitoring System using NFC and Block Chain
Authors:   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India, C S* Amal , Baby Shan ,   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
Published: December 2019

Today Block chain Technology is the upcoming one, all other current implementation advices to keep our documents encrypted for the secured communication. But they are using in many field particularly for transaction this project is our implementation. In this project, we aim to track the black money rotation as well as to track the GST payers with Taxation process. We add NFC Hardware to the high value currency from Rs. 500 to Rs. 2000 and also we include Expiry date for all the notes implicitly in the server. During any process vender has to scan the NFC so that received amount is recorded to the main Government server. GST is automatically collected from the vendor. Taxation is also verified with GST from both purchaser and the vendor. Both the accounts are monitored so that malpractice is totally avoided. This system will ensure 100 % genuine Transaction
Sunflower in the Diet of Siberian Roe Deer (Capreolus Pygargus) During the Winter High-Snow Period: Clinical and Morphological Criteria of the Digestive System
Authors:   Kirzinsky State Nature Reserve of Federal Importance, Novosibirsk Region, Barabinsk, Russian Federation, Yermolik* V.B. , Schmidt Yu.D. ,   Novosibirsk State Agrarian University, Novosibirsk, Russian Federation, Smirnov P.N. ,   Novosibirsk State Agrarian University, Novosibirsk, Russian Federation
Published: December 2019

The article presents innovative environmental methods as a basis for biotechnological approaches of sunflower cultivation to be used for supplementary feeding of roe deer in their natural habitat in the winter, in order to preserve the animal population and to maintain the biological balance of the ecosystem at the Kirzinsky Federal State Natural Reserve in the Novosibirsk region. The article provides the basic pathoanatomical and morphological criteria of the metabolic processes in the organism of Siberian roe deer in case of using sunflower in their diet. A high level of anabolic (cumulative) processes in the roe deer organism is identified, which is manifested in the formation of large fat depots, thus reflecting the high degree of stability of the biological system to the occurrence of natural extraordinary factors in the natural habitat of the roe deer. The examination has shown that the rumen is satisfactorily filled with homogeneous contents of moderate humidity. Forage mainly consists of sunflower represented by the sunflower groats with grains (seeds) of various degree of mechanical and biological crushing. The use of sunflower as supplementary feed in extensive fodder fields allows Siberian roe deer to accumulate energy reserve in the winter with significantly high snow cover, for ensuring the forming and metabolic processes, especially in the extreme conditions of living in the wild.
Improving the Shear Strength of the Soil by using Jute Fabric
Authors:   Department of Civil Engineering, Narayanaguru college of Engineering, Manjalumoodu, India., Hema* Jothy V K
Published: December 2019

Bearing capacity of the soil is based on the shear strength of the soil. By improving the shear strength, bearing capacity of soil increases. Various additives such as lime, fly ash, cement, bitumen, tar etc. and easily available on-site materials such as sands, mining waste, natural stone waste etc were using to improve the shear strength of the soil. The main aim of this project is to improve the shear strength of the soil by adding jute fabric in various proportions. Jute fabric is mainly produced from a plant species called Corchorus olitorius. Soil samples were collected from Mangalapuram, Trivandrum and the identification tests such as specific gravity, liquid limit, plastic limit and sieve analysis of soil were done based on IS2720 recommended procedures. As per IS1498 – 1970 the soil is classified as poorly graded sands (SP). Jute fabric is added to the soil on 3%, 6% and 9% of weight of soil sample. Standard proctor test is conducted as per IS 2720 (part VII) to determine the optimum moisture content value (OMC). Optimum moisture content value of the soil sample is 10%. The shear strength of the soil is determined by direct shear strength test, which is conducted on both treated and untreated soil sample. From the result it is concluded that by adding 6% of jute fabric the shear strength of the soil reaches its maximum value, further addition of jute fabric reduces the shear strength of soil. Hence it is recommended to use 6% of jute fabric in sub-grade soils for pavements to improve the shear strength.
Development of Competency-Based Poetry Learning Materials for Class X High Schools
Authors:   Bengkulu University, Indonesia., Noermanzah*  , Friantary Heny ,   IAIN Bengkulu, Indonesia.
Published: December 2019

Poetry teaching materials are still textual and have not developed student competence. For this reason, poetry teaching material is needed that truly develops students' competence in mastering poetry material. The purpose of this study is to develop poetry teaching materials for class X high schools by the principles of competency-based poetry material. The research method used is research and development. Data collection techniques using questionnaires and observation. Research data analysis techniques: (1) identification of the need for analysis of available teaching materials, (2) identification of teaching material needs for teachers and students, (3) making poetry based on competency and curriculum, (4) field trial I is validating the device teaching materials, (5) Trial II (field / class trials) until teaching materials are developed, (6) initial design revisions based on findings, and (7) compiling ready-to-use teaching materials (products). Test the validity of research data using the validation test of poetry experts, language experts, and design experts. The results of this study indicate that the competency-based high school poetry class X material is feasible to use because it is arranged based on: (1) analysis of the needs of teaching materials that available in Bengkulu city high school, high school teacher needs analysis in Bengkulu City, (2) preparation of curriculum and syllabus based on the analysis of needs analysis, (3) preparation of syllabus and lesson plans based on needs analysis, (4) preparation of a draft model of teaching materials of poetry based on the lesson plans, needs analysis, and theory of poetry, and (5) test experts and field trials which showed that the model of teaching materials of poetry have a criteria is very good to use.
Vision Controlled Automated Robotic Vehicle using Raspberry Pi
Authors:   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., S V* Aswin Kumer , Kanakaraja Pamarthi ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Krishna Kuruvella Naga Arun Sai ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Devisri Macharla ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Tulasi Parvataneni ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India.
Published: December 2019

The automobile industries are concentrating to develop the design for self-driving cars. Nowadays they are many possibilities to implement the automated vehicle, but the drawbacks for implementing are also very high. In this paper, the miniature model of self-driving robot is created and demonstrated using the Raspberry pi with supporting sensors and motor drivers. So, this was mainly because of the security concerns that have raised in the initial testing stages. So, this paper could best describe an application that deals with the safety measures of the autonomous vehicles that are going to be dealt with in the nearer future. This paper tells us about how an application can be implemented using Raspberry Pi, camera module and the ultrasonic Sensor. Considering the different features and the cost, on a small scale a two-wheel vehicular robotic prototype has been designed. In the Autonomous car Raspberry pi is the central processor. Different type of images are captured by the camera module, and if these images have captured the color of traffic lights, then if the captured image is of the Red light then the motors of the vehicle should stop such that breaks of the car in real world should work. If the captured image is of Green light then the motors of the car should run and the vehicle should start to move in the direction it want to move and also using the Ultrasonic sensor if any of the objects that are nearby to the vehicle, then the vehicle should change the direction from which it is moving and this is well described throughout the paper.
Capacity Management of Vertically Integrated Development of Intersectoral Co-Operation
Authors:   Department of Economics and Management, Adygea State University, Maykop, Russia., Mokrushin* Alexander , Prokhorova Viktoriya ,   Department of Industrial and Project Management, Kuban State Technological University, Krasnodar, Russia., Aluyan Viacheslav ,   Department of Economics and Finance, Kuban State Technological University, Krasnodar, Russia., Savvidi Sofia ,   Department of World Economy and Management, Kuban State University, Krasnodar, Russia.
Published: December 2019

In the conditions of a prolonged financial and economic crisis, limited volumes and forms of state support for agricultural production, maintaining structural imbalance and inequality of intersectoral exchange, the development of vertical integration processes is a priority in improving the competitiveness of the Russian agro-industrial complex. Vertically integrated corporations (VIC) have the potential to ensure the proportional development of the areas of territorial agribusiness, innovative modernization of production assets of agricultural producers, agro-processing structures. The article reveals the transformational potential of vertically integrated corporations (VIC) in improving intersectoral interaction in the agri-food complex (AIC) of Russia. Specific features of the development of integration processes in the agricultural sector of modern Russia are disclosed. The corporate mechanisms for the creation and functioning of vertically integrated structures in the territorial agricultural sector are systematized. The functional content and potential of the VIC in the structural modernization of the agro-industrial complex of Russia, in the development of the inter-branch exchange management system in the agro-industrial complex are disclosed.
Mobile Sink Based Data Assemblage in Wireless Sensor Networks
Authors:   Assistant Professor, Department of ECE in R.M.K. Engineering College, Chennai., Nesakumar A* Darwin , Kumar M.Daniel Naresh ,   Assistant Professor, Department of ECE in R.M.K.Engineering College. Chennai., Reddy A Swetha ,   pursuing Master degree in applied electronics from R.M.K. Engineering College, Chennai., Mugilan P. ,   Senior System Engineer, Tractors and Farm Equipment Limited, Chennai.
Published: December 2019

A mobile sink, which is used to fetch data from various sensors to prevent the energy-hole problem or hotspot in WSN. To avoid the delay sustained by calling on the sensors a mobile sink is allowed to visit which is called as meeting points and the remaining nodes deliver their data to nearest rendezvous point. The improvement of sink’s data collecting method as well as the maximization of lifespan of the network is done by discovering a most favorable set of meeting points. However, it is very difficult to discover the assigned meeting points and moving way of mobile sink when the sensor produces data roughly. We propose an ultra-modern ACO based mobile sink data gathering in WSN. The important aims of the suggested algorithm are to elongate the existence of network and to reduce the delay in fetching data from sensor nodes. The algorithm also follows to again select the rendezvous points in order to stable the energy utilization of the sensor nodes.