bluuebunny/crossref_metadata_2025 huggingface dataset:
Task Scheduling Allocation based on Task Completion Time in Cloud Environment
Authors:   Research Scholar, Dept of CSE, GITAM University, Visakhapatnam, India., Sambangi* Swathi , Gondi Lakshmeeswari ,   Dept of CSE, GITAM University, Visakhapatnam, India.
Published: December 2019

Cloud computing is a prominent computing model wherein shared resources can be given as per the customer request at a time. The available resources in the cloud are gathered to execute several tasks that are submitted by the customer. While implementing the tasks, there is a need to optimize performance in terms of execution time, response time and resource utilization of the cloud. The optimization of the mentioned factors in the Cloud Computing can be achieved by one of the major areas known as Load balancing which refers to dealing with client requests from diverse application servers that are functioning in the cloud. An efficient Load Balancing algorithm enables the cloud to be more proficient and enhances customer contentment. So, this survey paper highlights the latest studies regarding the application of Load Balancing techniques for task allocation such as resource allocation (RA) strategies, cloud task scheduling centered on Load Balancing, dynamic Resource Allocation schemes, and cloud resource provisioning scheduling heuristics. Finally, Load Balancing performance for task allocation methods is compared based on task completion time.
Determining the Dependency Pattern of Daily Change (increase or decrease) of Dhaka Stock Exchange Index (DSEX) in Bangladesh by Markov Chain and Logistic Regression Model
Authors:   department of General Educational Development, Daffodil International University, Dhaka, Bangladesh, Anam* Dr. Sayedul , Abdulla Md. Ashik ,   department of Business Administration, Daffodil International University, Dhaka, Bangladesh., Hassan Md. Arif ,   department of Business Administration, Daffodil International University, Dhaka, Bangladesh., Kamruzzaman Md. ,   department of Business Administration, Daffodil International University, Dhaka, Bangladesh.
Published: December 2019

Bangladesh's capital market is South Asia's third largest market with two stock exchanges controlled by the Securities and Exchange Commission (SEC), namely Dhaka stock exchange (DSE) and Chittagong stock exchange (CSE). DSE introducing DSE broad index (“DSEX”) and DSE 30 index (“DSE30”) that effect from 2013. In this study, DSEX which reflect 97% of the total equity market capitalization is considered and focused the effect of change of index on market investment. The logistic regression (LR) model is performed in conjunction with the Markov chain (MC) of different order to represent the dependence of change (increase or decrease) of the current index upon the change of the previous two-time period. It was shown that the increased index day of the preceding two-time period relative to the decreased index day of the preceding two-time period affects the increased index day of the present time period. We observed a dependency of increase-decrease index of spell for the occurrence of index in the Dhaka stock exchange from the period of 28/01/2013 to 30/04/2019. The result shows that the frequency of index shift follows a second order Markov chain and logistic regression suggests that decrease index day of index followed by decreased and increase day of index followed by increased is more likely for the index of Dhaka stock exchange. This research helps to the individual investors in predicting the next day’s stock price based on the prior two days index price. This study also contributes to researchers, corporate managers and other personnel to determine the dependency pattern of stock price.
Smart Home using Visual Sensor Network and Li-Fi Technology
Authors:   Professor, Department of Computer Applications ABES Engineering College, Ghaziabad, (UP), INDIA, Kumar* Dr.Devendra , Sharma Dr.Upasana ,   Assitt. Professor, Department of Information Technology, AIIT, Amity University Noida, (UP), INDIA
Published: December 2019

One of the most interest gaining and intellectual applications of the Internet of Things (IOT) is Smart Home. It enhances the quality of human life and brings more comfortability, convenience and savings. In this paper, an intellectual home procedural system is proposed which is based on Li-Fi technology as medium of communication between the connected devices. It uses wireless visual sensor network as video surveillance system. Li-Fi is a bi-directional high speed connected technology that supports sharing (sending and receiving) of data by illuminating the usage of LED bulbs. The usage of such innovation gives a surety of a higher level of security, higher data transmission rate, less consumption of energy and more convenience.
Sky-A* Algorithm for Artificial Intelligence
Authors:   CUIET, Chitkara University, Punjab, India., Haque* Mohd. Junedul , Ahuja* Rakesh ,   CUIET, Chitkara University, Punjab, India.
Published: December 2019

We have discussed variant of informed search in this paper like A* search. The informed search algorithm is developed to run in given limited memory by use of heuristic knowledge with retraction methods. We introduce the sky-A* algorithm for solving shortest path between two nodes. The sky-A* algorithm developed a logic by which the obligatory nodes like A* can extend and return the optimal result joining the nodes. In addition, the method sky-A* is guaranteed to return an optimal path when heuristic information used. We present a number of different methods for both low and high level procedures and analysis their results and performance. Proposed algorithm provides accurate combination of surroundings of video segments in situations when camera movements are complex.
Molecular Modeling of Anti HIV Drugs of Protease Inhibitor Group by CoMFA
Authors:   Associate Professor, Department of Chemistry, Bareilly College, Bareilly, India., Kalhans* M B , Singh A K ,   Department of Physics, Bareilly College, Bareilly, India, Singh N B ,   Associate Professor, Department of Chemistry, Bareilly College, Bareilly, India.
Published: December 2019

An anti-HIV agent may exert its activity by inhibiting a variety of steps in the life cycle of virus. In recent advances medicinal chemists have focused their attention mainly on virial binding to target cells, virus-cell fusion, virus uncoating, reverse transcription of genomic RNA, viral integration, gene expression, cleavage events through protease inhibitors and virion mutarotation. In present study cleavage events through protease inhibitors have been done by CoMFA. There are a number of physical, structural and chemical descriptors which may be helpful in computer aided drug designing. Out of them hydrophobicity in particular can be easily quantified for complete molecule or even for individual substituent. 26 derivatives of cyclic urea and 8 derivatives of Isosteres belonging to non-peptidic and peptidic PR inhibitors were taken as study material and a number of MLR equations using different combinations of descriptors have been developed. On the basis of these regression values, theoretical activity of the various models is predicted which provides an insight into structural and binding features of the proposed models.
Synthesis, Characterization of Nano Film from Water Lettuce (Pistia Stratiotes) and Its Antimicrobial Activity
Authors:   Department of Chemical Engineering, Bharati Vidyapeeth (Deemed To Be University), College of Engineering, Pune, India., Kulkarni* Dr. Kavita , Kulkarni Dr. A. D. ,   Department of Chemical Engineering, Bharati Vidyapeeth (Deemed To Be University), College of Engineering, Pune, India., Wadavane Yogesh ,   M.Tech Student, Department of Chemical Engineering, Bharati Vidyapeeth (Deemed To Be University), College of Engineering, Pune, India.
Published: December 2019

A thin nanofilm was achieved using water lettuce (Pistia Stratiotes) plant extract. Characterization of the nanofilm was done tounderstand the thickness and morphology of the resulting film. The addition of the polyethylene glycol 400 was suitable for the proper dissolution of cellulose. Characterization and study of morphological structure of cellulose fibers was done by using scanning electron microscopy(SEM). The resulting data of SEM analysis was acceptable for water lettuce extract, as content of cellulose fibers was more.
The Living Law’s Relationship With State Law In The Judge’s Decision: Indonesian Legal Pluralism
Authors:   Diponegoro University, semarang, Jawa Tengah, Indonesia., Indreswari* Tri Laksmi
Published: December 2019

The plurality that Indonesia has creates legal pluralism where there are more than one law in force, state law as a legislative and living law product as a law that lives and develops in the community for generations. In the judicial process both laws can be used as a legal source for judges in deciding cases. This research includes legal socio-research which aims to analyze the living law as a legal source of judges and the relationship between state law and the living law in judges’ decisions with a perspective of legal pluralism. Judges can use the living law as a source of law by making legal discoveries. The relation between state law and the living law in a judge’s decision is a synergic, interactive relationship as an effort to overcome the legal gap between law in the books and law in actions with the main goal of realizing a substantive justice decision.
Sustainable Issues in Building Operations and Maintenance of Religious Schools in Malaysia
Authors:   Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA, Perak Branch, Seri Iskandar Campus, Seri Iskandar, Perak, Malaysia., Arshad* Huraizah binti , bin Mohammed Izran Sarrazin ,   Centre for Real Estate Studies (CRES), Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia., binti Chuweni Nor Nazihah ,   Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA, Perak Branch, Seri Iskandar Campus, Seri Iskandar, Perak, Malaysia.
Published: December 2019

In Malaysia, Sekolah Agama Rakyat (SAR) (Community Religious Schools), Sekolah Agama Negeri (SAN) (State Religious Schools), Madrasahs and Pondoks are the Islamic Education Institutions that were established since the arrival of Islam in Tanah Melayu. Normally, these schools are built on lands donated in a perpetual manner for charitable purposes under the administration of State Islamic Religious Councils (SIRCs). The establishment of these institutions has played significant roles in the socio-economic development of the Muslim community in Malaysia. Unfortunately, numerous studies have highlighted various issues including on the maintenance management practices towards the sustainable aspects of these school buildings. Large numbers of school buildings are ill-managed and are deprived of basic repairs or maintenance. This research first identified the related factors through a review of current literature in established journals, articles and books in order to interpret the sustainable issues from a global perspective. The literature identifies five issues that impede the effective and efficient maintenance management of religious schools towards sustainable practices including the aspects of financial, information management, specialists, administration and marketing. Questionnaire surveys were distributed to relevant respondents involved in the administration and management of religious school buildings in Malaysia. Frequency and criticality index calculations were carried out to rank the factors according to levels of criticality. The findings indicate that managerial problems, especially on knowledge and expertise among school administrators, are the main barriers hindering effective and efficient management of these religious schools. The authorities ought to prioritize these issues to ensure the sustainability of the delivery of the waqf educational system. Success in overcoming this problem is crucial in supporting the Transformation Plan for Waqf Property Development set out by the government.
Performance Analysis of DSR in MANET using Optimized Branch and Bound Algorithm
Authors:   Principal, L.R.G. Government Arts College for Women, TIRUPUR-641 604 Tamilnadu., Ponmuthuramalingam* Dr.P. , Sasikala Mrs.S. ,   Assistant Professor, PG & Research Department of Computer Science, Hindusthan college of arts and science, Coimbatore.
Published: December 2019

Mobile Adhoc NETwork (MANET) is a compilation of autonomous and arbitrarily located movable nodes forms an shemaless network. Nodes in MANET are dynamically changing in nature. MANET has different kinds of routing protocols. In this work MANET’s reactive Dynamic Source Routing (DSR) protocol is developed with the Branch and Bound (BB) algorithm to obtain a possible feasible elucidation with greater optimality. Branch and Bound Algorithm is mainly applicable for obtaining the optimal solution. In this paper, DSR protocol is evaluated with the proposed approaches namely, DSR with BB in MANET and DSR with Modified Branch and Bound (DSRMBB) is analyzed. Simulation metrics namely End to End delay, Packet Delivery Ratio (PDR), Routing Overhead, Throughput, Network Lifetime and Nodes energy were compared to evaluate their performances. From the observation, proposed work DSRMBB performs well. Performance metrics like Network lifetime, Nodes Energy and throughput has increased in considerable amount when comparedto the traditional DSR protocol.
The Development of a Blended Learning Model by using E-Book (BLME) on the Subject of Basic Programming
Authors:   Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang., Aswati* Safrian , Jama Jalius ,   Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang., Inra Azwar ,   Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang., Rukun Kasman ,   Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang., Amin Muhammad ,   Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang.
Published: December 2019

The researchers conducted direct observation at the State Polytechnic Creative Media PSDD Medan. The object of the research includes learning on the subject of Basic Programming. The researchers found several phenomena including: 1). The subject of Basic Programming is a subject in which the material guides students to think logically in solving problems through algorithms in the form of coding (instructions). 2). Learning set used the textbook. 3). Teaching and learning process was conducted conventionally. The lecturer delivered the material in the textbooks to the students, the conclusion of the material was written on the white board. 4). Tools used on the subject of the Basic Programming were the C ++ programming language. Based on the phenomenon, the researchers found several problems including: 1). Low skill and the students had not mastered the material that has not been achieved in learning the subject of basic programming. 2). Students did not respond when interacting in question and answer session, which impacted the learning process become non-interactive. 3). Independence and active role of students in learning the subject of basic programming had not been seen because learning was lecturer centered. 4). Learning model that was centered on the lecturer made the students unable to think creatively and solve new problem presented by the lecturer on the subject of basic programming. Based on the explanation above, in this research, the researchers developed a learning model used in learning the subject of Basic Programming that is a blended learning model using an e-book integrated with the Learning Management System (LMS).
Phishing Website Detection using Supervised Deep Learning
Authors:   Department of Computer Science & Engineering, BVRITH College of Engineering for Women, Hyderabad (Telangana), India, Lakshmi* L , Rani K Pushpa ,   Department of Computer Science & Engineering, BVRITH College of Engineering for Women, Hyderabad (Telangana), India., Vijay K ,   Department of Computer Science & Engineering, BVRITH College of Engineering for Women, Hyderabad (Telangana), India., Priyanka G.V.S.S ,   Department of Computer Science & Engineering, BVRITH College of Engineering for Women, Hyderabad (Telangana), India.
Published: December 2019

The website phishing is the tremendously growing problem over the internet which will lead to the loss of personal information. This process will run like, when ever user clicks a website link it will lead them to the web page that is created by the phisher to deceive the user. After this phishing has been started in order to stop it many techniques came into existence to detect the phished web site and help the user from being deceived by the attacker. Even though many techniques have adapted to stop the attackers, it is difficult because as many phished web pages are generated by the attackers within few hours. Most of the techniques to detect these phishing websites are not able to decide the fake website with legitimate one because the accuracy of getting results are much less. There are many supervised machine learning techniques which are supervised, where a primary set of data is given to the algorithm and depending on that set the algorithm will be trained and it will predict the results for the same. One of the most important techniques that is deep Learning classifiers is applied with significant features to detect phishing websites. By using this algorithm we can classify the phishing websites from genuine websites by using effective features. In this algorithmic approach to detect genuine websites a feature set is used so by analyzing these features using deep neural networks we can detect a website is phished or not. We can also increase the accuracy of our algorithm by adding certain more features and increasing the hidden layers in neural networks.
Dynamic Monitoring of the Effect of Passenger Occupancy on the Vehicle Center of Gravity (CG) In a Lightweight Electric Vehicle
Authors:   Department of Electronics and Communication Engineering, Tezpur University, Tezpur, India., Neroula Sujan , Hazarika Chinmayee ,   Department of Electronics and Communication Engineering, G.I.M.T, Guwahati , Assam, India, Sharma* Santanu ,   Department of Electronics and Communication Engineering, Tezpur University, Tezpur, India.
Published: December 2019

In lightweight vehicles, the passenger weight has a substantial contribution to the vehicle gross weight. This paper presents a simulation, evaluation, and application of vehicle model developed to estimate the shift in the center of gravity (CG) of the vehicle on various terrains, driving conditions and different passenger occupancy combinations. The designed Neighbourhood Electric Vehicle (NEV) comprises various sensors including load sensors and speed sensors at each wheel. Vehicle dynamics is influenced by various factor like speed, goad grade, lateral acceleration, longitudinal acceleration, passenger occupancy, etc. Here a simple model has been presented where the movement of the vehicle CG is mapped based on the load experienced by each wheel in dynamic driving conditions. The wheel forces are used to identify the instantaneous CG by virtue of a system identifier on board the vehicle. The validation of the proposed model has been done on a lightweight NEV. In addition, several simulations have been carried out to illustrate the effect on vehicle dynamic stability. It was found that the passenger occupancy status can influence vehicle performance and handling to a large extent.
A Complete Summary of Non-Parametric Statistical Methods Used For Biological Microarray Data
Authors:   Department of Computer Science, Jamia Millia Islamia, Jamia Nagar New Delhi 110025, India., Sharma* Meenu , Parveen Dr. Rafat ,   Department of Computer Science, Jamia Millia Islamia, Jamia Nagar New Delhi 110025, India.
Published: December 2019

Microarray technology is developed as a new powerful biotechnology tool, to analyze the expression profile of more than thousands of genes simultaneously. In recent times, Microarray is the most popular research topic. For extracting the differentially expressed genes from microarray data, numerous types of statistical tests are developed. The focus of microarray analysis is to predict genes that show different expression patterns under two different experimental conditions. The aim of this research paper is to explore various types of non-parametric methods proposed to analyze microarray expression data for predicting those genes which are differentially expressed, and a comparative analysis of various methods has been done. Besides, we also predicted the best condition for each method where they perform better and to investigate the disease development mechanism. Many types of statistical tests have been studied for identifying the differentially expressed genes, only very few studies have compared the performance of these methods. In our study, we extensively study and compare the different types of non-parametric methods.
Cementing Efficiency of Rice Husk Ash and Ground Granulated Blast Furnace Slag in M60 grade Self Compacting Concrete
Authors:   is student of Master of Technology ( Structural Engineering in Department of Civil Engineering at Gokaraja Rangaraju Institute of Engineering and Technology , Hyderabad , India ., Mounilka* Ms G , Reddy Dr . V Srinivasa ,   is a Professor in Department of Civil Engineering at Gokaraja Ran auraju Institute o£ Engineering and Technology , Hyderabad , India ., Rao Dr . Mv Seshagiri ,   is a Professor in Department of Civil Engineering at CVRllege of Engineering Hyderabad , India ., Rani Dr . M Swaroop ,   Professor of Civil Engineering , JNTU Kakinada , India
Published: December 2019

This paper enumerates strength gain efficiency of Rice Husk Ash (Rha) and Ground Granulated Blast Furnace Slag (Gbbfs) blend in Self-Compacting Concrete (SCC). From the precious studies carried by the authors it was observed that optimal use of Rha+Ggbfs in low and medium strength concretes imparts initial strengths and also later strengths. In low and medium strength SCC mixes, Ggbfs replaces OPC optimally (30%) and Rha replaces Ggbfs optimally (3%) but in case of high strength SCC mixes, RHA replacing Ggbfs does not offer the required workability or strength so instead of replacing Ggbfs by certain amount, Rha is added to the SCC. It was found that GGBFS does not yield the required workability so RHA is added to GGBFS based SCC. So after various trial mixes it was found that 25% GGBFS by weight of OPC and 5% RHA by weight of GGHFS is added to OPC. It was observed that 5% RHA addition to OPC made with 25% Ggbfs gives desired workability and strength. Due to addition of GGBFS to SCC will enhance the later age compressive strength but early age compressive strength decreases while the desired workability is controlled using SP appropriately. In M60 GGBFS+RHA based SCC, the strength increase at 3 days is nearly 33% and the compressive strength at 28 days decreased by 10%. Similarly tensile strength in a GGBFS and RHA admixed SCC increases by around 27% in M60 grade.
Fault Tolerant Coverage and Connectivity Model for Wireless Sensor Networks in Real time Environment
Authors:   SC & SS, Jawaharlal Nehru University, New Delhi, India., Meena* Neeru , Singh Buddha ,   SC & SS, Jawaharlal Nehru University, New Delhi, India.
Published: December 2019

Both connectivity and coverage are considered as the basic performance standards of the service yielded through a Wireless Sensor Network (WSN). Sensing field’s monitoring quality is represented through coverage. So, coverage represents the quality of tracking of the sensing field through the sensors. Connectivity exhibits the quality of the information delivery along with the sensor nodes, or to the base station. This paper aims for pre-estimation for the sensor numbers that are to be placed in an adverse situation for achieving required coverage. This paper promotes -coverage and -connectivity models that focuses on multipath effects as well as shadowing fading’s combined effect. The value of differs for different types of applications. For measuring the coverage and connectivity probabilities, in shadowing as well as multipath fading presence, a mathematical model is obtained. Moreover, the coverage and connectivity probability derivations which are derived with the help of lognormal shadowing fading as well as Rayleigh fading are approved through the deployments of nodes utilizing Poisson distribution. The simulation section of this paper clearly shows that coverage and connectivity are dependent on the density of node, fading parameters like the standard deviation, and path loss exponent. The sensing model proposed by us is proved to be more appropriate for realistic environment as sensor’s ideal quantity necessary in order to attain desirable coverage in fading conditions.
Static Analysis and Fatigue Life Prediction of Composite Leaf Springs of Automotive Suspension System
Authors:   Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, 576104, Karnataka, India., Naik* Nithesh , Gosangi Dheeraj ,   Department of Aeronautical & Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, 576104, Karnataka, India., Borkhade Revati ,   Department of Aeronautical & Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, 576104, Karnataka, India., Bhat Ritesh ,   Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, 576104, Karnataka, India., Shetty *Dasharathraj K ,   Department of Humanities and Management, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, 576104, Karnataka, India., Schumann Samuel ,   Faculty of Mechanical Science and Engineering, Technische Universität Dresden, Dresden Germany,
Published: December 2019

Development of vehicles with the highest safety standards and lowest carbon emissions has been one of the primary goals of the automobile manufacturers. One of the methods of achieving higher fuel efficiency is by reducing vehicle weight by minimizing the unsprung weight without compromising strength and driver comfort. The study presents the behavior of the double-bolted-end joint semi-elliptical leaf spring that is generally used in the rear suspension of lightweight cars and commercial vehicles. 65si7 grade steel is conventionally used in the above leaf springs. The study evaluates the stress distribution, deflection and fatigue life assessment of leaf springs made up of glass epoxy (62% glass fiber), carbon epoxy (40% carbon fiber), and aluminum graphite (5% graphite). The results are compared with 65si7 steel leaf spring and analysed. The analysis performed showed a weight reduction of 76.4 %, 81.1%, 65.8% respectively. The first natural frequency was approximately 1.2 times greater than the road frequency. The simulated results for fatigue life cycles of leaf spring (10e5 cycles) was observed, whereas, for the conventional steel leaf spring (2e5 cycles) was observed. The results suggest the material aluminum graphite (5% graphite) will be the best replacement, considering the overall weight to strength ratio and cost.
A MOPSO-Based Optimal Demand Response Management System for the Integration of Wind-PV-FC-Battery Smart Grid
Authors:   Associate Professor, Department of Energy Systems, University of Trinidad and Tobago UTT,, Elgammal* Adel
Published: December 2019

This paper proposes the Multi-Objective Particle Swarm Optimization to optimize the performance of hybrid Wind-PV-FC-Battery smart grid to minimize operating costs and emissions. The demand response strategy based on the real-time pricing program with the participation of all kinds of consumers such as residential, commercial and industrial consumers is utilized in order to resolve the power generation uncertainty of renewable energy sources. The multi-objective particle swarm optimization based energy management programming model will be leveraged to reduce the operation costs, emission of pollutants, increase the micro grid operator’s demand response benefits and at the same time satisfying the load demand constraints amongst the others. For the purpose of validating the proposed model, the simulation results are considered for different cases for the optimization of operational costs and emissions with/without the involvement of demand response. The simulation results precisely concluded the impact created by the demand side management in reducing the effects of uncertainty that prevails in forecasted power generation through solar cells and wind turbines.
Secure Remote User Authentication using Pass Script & PassText
Authors:   Research Scholar (JNTUH Hyderabad), CSE Department, GITAM Deemed to be University, Hyderabad, India., Mohd.* Raj Mohammed , Bindu C.Shoba ,   Professor, CSE Department, JNTUA College of Engineering, Anantapuramu, India., Vasumathi D. ,   Professor, CSE Department, JNTUH College of Engineering, Hyderabad, India.
Published: December 2019

Authenticating users to secure systems is a crucial task for security experts to solve a password problem, where user should able to memorize a password or secret and password should be hard to guess and crack by adversaries. In general, Most of the secure systems were designed with text passwords along with additional factors such as tokens like smart card, mobile device. Text passwords are not resistant to dictionary, brute-force and guessing attacks. This paper proposes a novel graphical password method, which solves the password problem and secure against all password vulnerabilities. Theoretically, graphical passwords are easy to memorize and recall them easily for long term and resistant to dictionary and brute-force search attacks.
Security Problems in Iot Model and Privacy Preserving In Various Iot Devices
Authors:   Assistant Professor, M.G.I.T, Hyderabad, Ph.D Scholar(KL Deemed to be University),., Santhi. J* Aruna , Saradhi T. Vijaya ,   Professor, Sreenidhi Institute of Science and Technology,
Published: December 2019

It is instead required for IoT units to equip along with the potential to withstand security and privacy threats when fulfilling the intended useful criteria and services. To obtain these targets, there are many brand-new problems for the IoT to apply personal privacy-preserving records manipulation. Initially, data professionals need to have to process privacy-sensitive data to remove the counted on details without particular privacy enclosure. Within this paper, our company temporarily showed the kinds of security concerns in IoT style, personal privacy-preserving in different IoT devices as well as additional challenges and also method for privacy-preserving time-series data publishing.
Anomaly Detection in Distributed Denial of Service Attack using Map Reduce Improvised Counter Based Algorithm in Hadoop
Authors:   MCA M,Phil, (PhD), Associate in Sindhi College, Banaglore and doing research in Hinsdustan Institute of Technology, Chennai, India, Vani Y.S.Kalai , Ranjana Dr. P. ,   working as a Professor in Department of Computer Science in Hindustan Institute of Technology, Chennai., Sankari M. ,   MTech, (PhD), Research Scholar, CSE Hindustan Institute of Technology and Science Chennai,India.
Published: December 2019

A Distributed denial of Service attacks(DDoS) is one of the major threats in the cyber network and it attacks the computers flooded with the Users Data Gram packet. These types of attacks causes major problem in the network in the form of crashing the system with large volume of traffic to attack the victim and make the victim idle in which not responding the requests. To detect this DDOS attack traditional intrusion detection system is not suitable to handle huge volume of data. Hadoop is a frame work which handles huge volume of data and is used to process the data to find any malicious activity in the data. In this research paper anomaly detection technique is implemented in Map Reduce Algorithm which detects the unusual pattern of data in the network traffic. To design a proposed model, Map Reduce platform is used to hold the improvised algorithm which detects the (DDoS) attacks by filtering and sorting the network traffic and detects the unusual pattern from the network. Improvised Map reduce algorithm is implemented with Map Reduce functionalities at the stage of verifying the network IPS. This Proposed algorithm focuses on the UDP flooding attack using Anomaly based Intrusion detection system technique which detects kind of pattern and flow of packets in the node is more than the threshold and also identifies the source code causing UDP Flood Attack.
An Intelligent Weather Monitoring System using Internet of Things
Authors:   Associate Professor, SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA, Prasanna M. , Iyapparaja M. ,   Associate Professor, SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA, kumar M.Vinoth ,   Associate professor at the Faculty of Information Science and Engineering, Dayananda sagar Academy of Technology and Management, Bangalore, Karnataka, India., Ramamurthy B ,   Associate Professor,Computer Science Dept, Christ (Deemed to be University),Bangalore,Karnataka, Manivannan S.S. ,   Associate Professor, SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA
Published: December 2019

With a drastic change in climate continuously it is very harmful to the people who are living in the disaster-prone areas. In some areas the people are not warned for the consequences of coming specifically in their areas, they are told about the average temperature and humidity of the city while the humidity and temperature vary at different altitude and changes at short distances. The system is a very cost-effective and efficient method for controlling and monitoring the weather, and it sends the data to the cloud so that it can be visible anywhere through internet. The temperature, humidity, and pressure play a significant role in different fields like agricultural, industrial and Logistical Field. Weather forecast is necessary for the growth and development of these industries. The Internet of Things (IoT) is the technology used in developing the proposed system, which is an efficient and advanced method for connecting the sensors to the cloud which can store real-time sensor data and connect the entire world of things in a network. Here things might be anything like electronic gadgets, sensors, and automotive electronic equipment. The system deals with controlling and monitoring the environmental conditions like Temperature, Pressure, Smoke, Relative humidity level and various other gases with sensors and sends the information to the cloud and then plot the sensor data in graphical form. An Intelligent prediction is to be done using machine learning. Machine learning is a branch of Artificial Intelligence (AI) which is a compelling method of Analyzing and predicting the given data-set. The data collected will be analyzed continuously. The real-time data which has to be sent through the sensor can be accessible throughout the world using the internet.
Fabrication of Low-Cost Hip Implant using Direct Metal Laser Sintering Technique
Authors:   Department of Health Sciences, Faculty of Sports Sciences & Coaching, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia., Baharuddin* Mohd Yusof , Zulkifly Ahmad Hafiz ,   Department of Orthopaedic, Traumatology & Rehabilitation, Kuliyyah of Medicine, Islamic International University Malaysia, Kuantan, Pahang, Malaysia., Choo Lee Ai ,   Department of Health Sciences, Faculty of Sports Sciences & Coaching, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia., Aminudin Siti Noor Azza ,   Department of Non Chronic Disease, Batu Arang Health Clinic, Ministry of Health, Putrajaya, Malaysia., Hisyam Lee Muhammad ,   Department of Mathematical Sciences, Faculty of Sciences, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia., Salleh Sheikh Hussain Shaikh ,   Center for Biomedical Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia.
Published: December 2019

Total hip replacement (THR) is the most popular surgery been performed in orthopedic surgery due to the inclination of musculoskeletal disorder and the aging population worldwide. However, the implant’s cost-burdened the patient, especially in the ASEAN region. The main objective of this study was to fabricate the low-cost hip implant using direct laser metal sintering (DMLS). The framework starts with the three dimensional of hip anthropometric datasets from computed tomography scanner, followed with the design of hip implant, computational analysis using finite element, and finally fabrication using DMLS technique. The morphological results demonstrated the value of neck-shaft angle was 130.46º, and the femoral head offset of 30.35 mm. The finite element analysis showed strain distribution was 65 MPa for the implant in metaphyseal region and 110 MPa for intact femur under staircase physiological loading which indicated inhibition of stress shielding at medical calcar region, and micromotion was 4.8 μm which prevent the formation of fibrous tissue and promoting osseointegration between implant-bone interfaces. This study proposed the fabrication using the DMLS technique, which produced accurate implant with low-cost, which suits the ASEAN hip morphology that prolongs implant lifetime.
“Nature” ASA Construct in the Literary Text Landscape: Analytical Aspects
Authors:   Director of the Institute of Culture and Art, Syktyvkar State University named after Pitirim Sorokin, Gurlenova* Lyudmila Viktorovna
Published: December 2019

Background: The study was conductedonthegroundsofRussianliteratureof20thcentury,howevertheanalyticalmethodssuggestedareuniversalandcanbeappliedto works representing otherliteratures as well. Therationaleofthisarticleliesintheneedtosystematizeanalyticalprocedureswithregardtostructuresandelementsofaliterarytextreferring to natural phenomena, and to portray the wide range of their expressive and descriptive capacity. Objective:The article studies functionsandformsofrepresentationof “nature” asalinguisticconstructinaliterarytext, revealsits capacities in introducing ideas of an epoch, in performing functional yieldwithin the landscape of a literary text and in text modelling. Methods: Typoligical, structural, historical and literature methods were used for the research as they enable comprehensive analysis of a wide range of factual material. Weareintroducingthe “nature” constructintotheresearchtorevealpolyfunctionalityandmultitudeofconnectionsbetweentext fragments about nature and whole literary texts, and extrapolation of their functional and notional models to other texts.Theconstructisasystemofliterarytextfragmentsassociatedwiththenotionof “nature”, whichmaybeeitherextendedorunextendeddependingonthe individual imaginative vision of an author. Findings: Inthecourseofthestudy,worksbyRussianandinternationalscientistsonnature’saesthetics/artisticphysiophilosophy, literaturepoetics, ideologicalandartisticformsofthenaturalcomponent, aswellas the corpus of fictional narrativesof both recognized and young writers of the stated period – the latter was mentioned in the monography “Sense of Nature in the Russian Prose of 1920-1930s” – were examined[5]. This article specifies and updates the period based on the studies dating back to the tur of 20th-21st centuries [17, 18, 19]. Theadditional research undertaken made it possible to create a detailed classification reflecting the functional and notional potential of the “nature” construct in the landscape of an artistic text. Conclusions:The “nature” constructinliteraryworksofvariousperiodsof 20thcenturyfeaturesgeneralcompletenessofphilosophical, socialandpoliticalideasof writings, of authors’ artistic platforms, of modelling principles for a particular text, i.e. serves as a guide to the artistic individuality of an author. Itisshapedundertheimpactofcommondirectiveassumptionsand components, such as method, genre, function, structure, mechanism for interaction with the whole, and others, thus providing it with the ability to be extrapolated to a vast range of other fictional texts.
Development and Implementation of the Robot Prototype with Inertial Navigation for Work in the Arctic
Authors:   Department of Fundamental and Applied Physics of the Higher School of Natural Sciences and Technologies Northern (Arctic) Federal University named after M.V. Lomonosov, Severnaya Dvina Emb. 17, Arkhangelsk, Russia, Lagunov* Alexey , Orlov Alexey ,   Telecommunications Saint-Petersburg State University of Telecommunications (branch in Arkhangelsk), Papanina Str. 24, Arkhangelsk, Russia
Published: December 2019

Currently, there is a very rapid development of robotics. People use robots in many areas of their activities. Especially valuable is the use of robots in hazardous conditions for humans, in particular in studies in the Arctic. In this case, there is an acute problem of navigation. The use of global navigation satellite systems (GNSS) in the Arctic is difficult due to the small number of satellites and the influence of Aurora. Therefore, we chose the inertial type of navigation for the prototype of the robot. We used LSM330DL micromechanical sensors and Atmega8-16AU microcontroller to create a navigation system. We used wireless access point Ubiquiti Bullet M2HP Titanium to connect the robot with researchers. Tests of a prototype of a robot on a wheeled platform showed that the coordinate determination error does not exceed 6%. Tests of the navigation system were carried out up to -20°C. System components allow operation up to -40°C. The proposed navigation system can be used to create robots for work in the Arctic.
Development of Effective Arable Units for Dump Plowing
Authors:   department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Maslov* Gennady , Yudina Elena ,   department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Mikhail Kadyrov, department of machine repair and materials science, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Malashikhin Nikolai ,   department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Tkachenko Vasily ,   department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia.
Published: December 2019

This article presents the results of the development of a mathematical model and a flowchart for optimizing the workflow of dump plowing with the simultaneous application of mineral fertilizers, as well as additional crumbling and leveling of the soil proposed by the authors of a machine-tractor unit. The optimal power of the tractor engine, its mass, the width of the implement and its mass, the operating speed and the optimization criterion value - the minimum total energy costs for the process of plowing with related works (fertilizing, leveling the soil) were obtained. The technical and operational indicators of modern dump plows are analyzed and the most effective ones are selected. New directions of increasing the efficiency of arable units on dump plowing are presented.
Fast and Secure Packet Scheduling with Packet Level Redundancy Elimination in Dynamic Mobile Networks
Authors:   Research Scholar, Department of Computer Science, Sankara College of Science and Commerce, Coimbatore, India., Soniya* K. , Kumar Dr.A.Senthil ,   Associate Professor, Department of Computer Science, Sankara College of Science and Commerce, Coimbatore, India.
Published: December 2019

Mobile networks are fast and flexible for effective communication, where it only needs a dynamic topology and unstructured network construction. Due to this flexible nature, the resource utilization and energy consumption is high when comparing to the other static networks. In this scenario, packet redundancy is major problem on mobile networks, which increases network traffic and energy. Currently redundancy elimination is performed using redundancy elimination (RE) solution, which affects the end-to-end privacy. To eliminate redundant packet transfers and provide fast and secure packet transfer in the dynamic mobile network, a new middle box framework is proposed in this paper. This framework is named as Sift Hub, which is a centre point to verify the packet redundancy and security violations. This includes four algorithms to perform packet redundancy elimination, packet scheduling and verification. The algorithms are One pass signature generation algorithm (OSGA) for packet security, Predictive encryption technique using enhanced hidden vector encryption algorithm for redundancy detection on encrypted traffic, Packet level data filtering algorithm (PLDF) for eliminating un-authenticated and redundant packets and RAPS-Redundancy aware packet scheduling algorithm for fast data scheduling over dynamic mobile networks. The Shift_Hub supports inter and intra packet level redundancy elimination and secure packet scheduling without affecting the end-to-end privacy. The Shift_Hub is implemented and the performance is evaluated on dynamic mobile network scenario created on NS2 simulator. The results shows, the proposed work gives better performance in finding and eliminating redundant packet in secure manner than the existing works.
Edge Detection in Grayscale Image of Brain MRI with Tumor Cells using Game of Life
Authors:   research scholar at, Computer Applications, Bharath Institute of Higher Education and Research, Chennai., Tariq* Jasmeena , Dr Kumaravel  ,   Professor and Dean, School of Computing, Bharath University, Chennai., Qadir Dr. Fasel ,   Assistant Professor, Department of Computer Science’s North Campus, Delina University of Kashmir.
Published: December 2019

This paper proposes new algorithm for edge detection in a grayscale image of brain MRI with tumor cells through cellular automata. Edge detection makes detection of tumor cells easier. Applying cellular automata for edge detection makes it very efficient because of its local nature. In Cellular automata filters are used locally to each cell and then it evolves into a more complex form. Due to this property of Cellular Automata it is being widely used in medical image processing. Algorithm presented in this paper is completed with the help of MATLAB2019b. Results from the proposed algorithm are compared with Sobel edge detector (to detect edges it uses simple calculations, but is sensitive to noise).
Grain legumes (haricot, bean, pea and chickpea) in the structure of functional nutrition
Authors: Kazydub N. G. , Kuz’Mina S. P. , Kotsyubinskaya O. A. , Bondarenko N. A. , Ufimtseva S. V.
Published: December 2019

The problem of healthy eating is one of the most important concerns of every modern person. Providing the population with high-grade, affordable and safe food is currently intensively carried out research and scientific work on leguminous crops with functional properties. This article discusses the beneficial properties of such crops as beans, peas, chickpeas and their role in improving nutrition and public health. Breeders of the Omsk State Agrarian University created new high-yielding cultivars of beans: vegetable direction - In memory of Ryzhkova, Gold of Siberia, Marusya and Sibiryachka; grain use - Lukerya, Olive, Omsk Jubilee, Omichka. The presented results of our scientific studies indicate the prospects for the cultivation of legumes under the conditions of Western Siberia, since valuable protein products in our zone can be obtained sufficiently early. The use of legumes in the diet of the population will expand the range of vegetable, leguminous crops of the Siberian region and increase their role in the system of "health, nutrition, resources."