bluuebunny/crossref_metadata_2025 huggingface dataset:
An Advanced Algorithm for Finding Tandem Repeats in DNA Sequencing based on Text Mining
Authors:   Ph.D. in computer science &Engg., M.Tech., Assistant Professor of Computer Science, IP College for women, jhajjar, Haryana, Saini* Anjali , Poonam  ,   M.tech. ,Department of Computer Science and Engg.,NCU Gurugram
Published: September 2019

In this paper a new searching technique based on pattern matching is proposed. In bioinformatics, finding Tandem Repeats (TR) in DNA sequences is an critical issue. There exist many pattern matching algorithms and KMP (Knuth Morris Pratt) is one of the pattern matching algorithm that undergo deficiencies of runtime complexity and cost when size of the data set increases. The main aim of the paper is to generate an effective algorithm for detecting and identifying Tandem Repeats over a DNA sequence more efficiently. By introducing the concept of 2Dimensional matrix to minimize the purview scope and optimizing the problem, Tandem Repeat finding algorithm makes the detecting or identifying process more efficient and effective that improves the quality of results. The theoretical analysis and experimental results concludes that tandem repeat finding algorithm get equivalent results in less runtime. This algorithm is better to KMP for determining results, and it also reduces or weaken the runtime cost which is beneficial when DNA data becomes greater.
Leveraging Machine Learning Algorithms For Zero-Day Ransomware Attack
Authors:   Computer Science And Engineering, PDACE, Kalaburagi, India., Gaitond Sowmya , Patil Rekha S ,   Computer Science And Engineering, PDACE, Kalaburagi, India.
Published: September 2019

Current global huge cyber protection attacks resulting from Infected Encryption ransomware structures over all international locations and businesses with millions of greenbacks lost in paying compulsion abundance. This type of malware encrypts consumer files, extracts consumer files, and charges higher ransoms to be paid for decryption of keys. An attacker could use different types of ransomware approach to steal a victim's files. Some of ransomware attacks like Scareware, Mobile ransomware, WannaCry, CryptoLocker, Zero-Day ransomware attack etc. A zero-day vulnerability is a software program security flaw this is regarded to the software seller however doesn’t have patch in vicinity to restore a flaw. Despite the fact that machine learning algorithms are already used to find encryption Ransomware. This is based on the analysis of a large number of PE file data Samples (benign software and ransomware utility) makes use of supervised machine learning algorithms for ascertain Zero-day attacks. This work was done on a Microsoft Windows operating system (the most attacked os through encryption ransomware) and estimated it. We have used four Supervised learning Algorithms, Random Forest Classifier , K-Nearest Neighbor, Support Vector Machine and Logistic Regression. Tests using machine learning algorithms evaluate almost null false positives with a 99.5% accuracy with a random forest algorithm.
Student Learning Prediction Using Machine Learning Techniques
Authors:   Research Scholar, Department of Computer Applications, Sacred Heart College, Tirupattur, India., V* Anbukarasi , Martin A. John ,   Department of Computer Applications, Sacred Heart College, Tirupattur, India.
Published: September 2019

Now a day’s e-learning is smartly growing technology. This technology is more helpful for students to communicate with their professors through chats or emails. E-Learning also removes the obstacle of physical presence of an E-learner. The main aim of this paper is to predict student performance in their final exams using different machine learning techniques. Information like attendance, marks, assignments, class participation, seminar, CA, projects and semester are collected to predict student performance. This prediction helps the instructors to analyze their students based on their performance. For that we have used WEKA tool for the prediction of the student performance. WEKA (Waikato Environment for Knowledge Analysis) is one of the data mining too which is used for the classification and clustering using data mining algorithms. This prediction helps the students and the staffs to know how much effort their students need to be put in their final exams to get good marks.
An Extended Kantorovich Method Used for Static Solution of an Arbitrarily Edge Supported Sandwich Cylindrical Shell Panel
Authors:   Mechanical Engineering Department, Government College of Engineering, Keonjhar, Orissa, India., Mohapatra* Dr. Ramesh Chandra , Kar Shranish ,   Mechanical Engineering Department, Indian Institute of Technology Guwahati, Assam, India., Kumari Poonam ,   Mechanical Engineering Department, Indian Institute of Technology Guwahati, Assam, India.
Published: September 2019

Exact solution of complex problems like composite shells with arbitrarily supported boundary conditions through analytical three-dimensional (3-D) approach is mathematically challenging. In the present work an analytical 3-D elasticity solution for the static bending problem of a laminated composite cylindrical shell panel having any arbitrary boundary conditions is proposed. The governing Partial Differential Equations (PDE) problems are obtained by the application of the Ressiner-type mixed variational principle in cylindrical coordinate system. The extended Kantrovich method [10] is applied to solve these equations by reducing them to Ordinary Differential Equations (ODE). Further, the set of ODEs corresponding to the radial component & the circumferential components are solved utilizing modified power series method & Pagano’s approach respectively. Through numerical studies of sandwich shell panels it is shown that this method accurately predicts the deflections, stresses, boundary effects and interfacial disruptions being generated of laminate scheme, material property variations and configuration of the shell panel. Crucially, this is achieved with just two or three terms and few iterations, hence attributes faster computation as compared to other numerical techniques.
Malicious Intrusion Detection Using Machine Learning Schemes
Authors:   Assistant Professor in Department of Computer Science and Engineering at Amity University Madhya Pradesh, Gwalior, India., Dhingra* Madhavi , Jain Dr. S C ,   working as Director in Amity School of Engineering & Technology at Amity University Madhya Pradesh, Gwalior, India., Jadon Dr. Rakesh Singh ,   Professor & Head in Department of Computer Applications, Madhav Institute of Technology and Science, Gwalior, (M.P) , India.
Published: September 2019

Wireless networks are continuously facing challenges in the field of Information Security. This leads to major researches in the area of Intrusion detection. The working of Intrusion detection is performed mainly by signature based detection and anomaly based detection. Anomaly based detection is based on the behavior of the network. One of the major challenge in this domain is to identify and detect the malicious node in wireless networks. The intrusion detection mechanism has to analyse the behavior of the node in the network by means of the several features possessed by each node. Intelligent schemes are the need of the hour in such scenario. This paper has taken a standard dataset for studying the features of the wireless node and reduced the features by applying the most efficient Correlation Attribute feature selection method. The machine learning algorithms are applied to obtain an effective training model which is then applied on the testing dataset to validate the model. The accuracy of the model is determined by the performance parameters such as true positive rate, false positive rate and ROC area. Neural network, bagging and decision tree algorithm RepTree are giving promising results in comparison with other classification algorithms.
Plant Protection And Foliar Fertilizing Technology Of Apple (Malus Domestica Borkh)
Authors:   I.V. Michurin Federal Scientific Centre, Tambov region, Michurinsk, Russia., Kuzin* Andrei Ivanovich , Kashirskaya Natalia Yakovlevna ,   I.V. Michurin Federal Scientific Centre, Tambov region, Michurinsk, Russia., Kochkina Anna Mikhailovna ,   I.V. Michurin Federal Scientific Centre, Tambov region, Michurinsk, Russia., Smagin Boris Ignatyevich ,   Michurinsk State Agrarian University, Tambov region, Michurinsk, Russia.
Published: September 2019

The systematic use of foliar fertilizers during growing season is a relatively new agronomic practice in Central Russia and it is still not widely used in horticultural enterprises of the region. One of the main reasons for this is the relatively high cost of this method. Producers prefer soil fertilization which adversely affect the environment. A significant reduction in cost of foliar fertilizing could be obtained by combining foliar nutrition with plant protection. The number of plant protection treatments, as well as toxicity of some products, is increasing annually. The use of fertilizers and plant protection products negatively affect the environment. It is very important to find ways of decreasing this load on surroundings. Currently, many different biological preparations for plant protection exist which are suggested to replace chemicals. The problem is in their relative low effectiveness compared to traditional plant protection products. The authors have studied the most popular plant protection products (in a traditional protection system) and application of foliar fertilizers (in a mineral foliar fertilizer system) in comparison with ecologized plant protection system (based on bacterial and low-toxic preparations) in tank mixtures with seaweed extracts-based foliar fertilizers. The authors have considered yield, scab development, content of calcium in leaves and fruits as the main criteria of this study. The research was carried out in the irrigated orchard (1,480 trees/ha), planted in leached meadow-chernozem soil. The investigation was carried out in 2013-2015. The results of traditional plant protection system in tank mixtures with mineral foliar fertilizer application, as well as ecologized products with seaweed extracts-based preparations, have been compared. Traditional plant protection system in combination with mineral foliar fertilizers have ensured a higher content of calcium in leaves and fruits, less damage from scab and higher yields. We can consider two ways of replacing traditional plant protection and fertilizing approach: the development of new highly efficient ecologized products or increased financial support.
Cognitive Radio Principles and Spectrum Sensing
Authors:   ECE Dept, Research Scholar, Raj Rajeswari College of Engg., Bangalore, Karnataka, India., lakshmi* J. Divya , L Dr. Rangaiah. ,   Prof and H.O.D, ECE Dept, RajaRajeswari College of Engg., Bangalore, Karnataka, India.
Published: September 2019

Cognitive Radio is an all intelligent radio network that is advancement over the conventional radio. The difference between the traditional radio and cognitive radio is that all the unused frequency spectrum is utilized to the best of available resources in the cognitive setusp unlike the traditional radio. The major advantage of the cognitive radio is that it can detect channels that are available from the spectrum and modify the parameters used for transmission so that the several unused frequencies can be used concurrently. The research conducted on the cognitive radio is in its primitive stages. However, the need of the hour is the detailed surveys and descriptions of the cognitive radio sensing mechanisms. The operating behavior of the radio will also be improved using the cognitive radio. This paper details the sensing and interference mechanisms of the cognitive radio and explains how and why the cognitive setup is far excellent compared to the conventional radios. There are numerous technologies used in the cognitive radio setup such as the Adaptive radio and Software Defined Radio (SDR). The applications of the findings of this paper can be extended to cognitive radio design and implementation.
Biomechanics Of Human Lumbar Spine (L3 To L5) With Degenerative Disc Disease Using Finite Element Model
Authors:   Departmentof Biomedical Engineering SRM Institute of Science and Technology Kancheepuram,, Devaraj* Ashok kumar , Karthik Varshini ,   Departmentof Biomedical Engineering SRM Institute of Science and Technology Kancheepuram, Zizhou Chenjerai ,   Departmentof Biomedical Engineering SRM Institute of Science and Technology Kancheepuram
Published: September 2019

Human spine is one of the complex structure of the human body. It provides the link between upper and lower extremities of the human body. It is estimated that at least 30% of people in the middle age group from thirty to fifty years have some degree of disc degeneration. Disc degeneration disease can affect the quality of life and in certain individual it can cause severe chronic pain if left untreated. The low back pain associated with lumbar disc degeneration is usually generated from two causes which are abnormal motion instability and inflammation. Abnormal motion instability occurs when the annulus fibrosus are worn down and cannot absorb stress on the human spine effectively resulting in changes in movements along the vertebral segment. To understand lumbar disc problem, a thorough knowledge of the biomechanics of the normal human lumbar spine and a disc degenerated lumbar spine is of great importance. In this study, Computed tomography image of a 33 year old male is used. A three dimensional (3D) human lumbar spine (L3 to L5) is created and validated with literature. The finite element model was modified to degenerated disc and studied the biomechanics of the lumbar spine. Comparison of the biomechanics of normal human lumbar spine is done with the human lumbar spine with disc degeneration for different range of motion and different loads. The result shows that the pressure generated on degenerated disc is greater than normal disc. This work can be implemented and used for designing implants and also for intervertebral disc related analysis.
Emotions Identification by Using Unsupervised Aspect Category Based Sentiment Classification
Authors:   MTech CS, Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune, India., Shinde* Vishal , Pawar Ambika ,   CS & IT ,Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune, India., Ahirrao Swati ,   CS & IT ,Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune, India., Phansalkar Shraddha ,   CS & IT ,Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune, India.
Published: September 2019

The social media is growing at an astonishing rate; this has resulted in increased online communications. The online communication contains feedbacks, comments, and reviews that are posted on the internet by users. To analyze such data, the paper represents the Aspect-based unsupervised method that applies association rule mining on customer reviews aims to algorithmically identify product aspects, their corresponding opinions from a collection of opinionated reviews. This framework involves four main subtasks: Product aspect identification, Sentiment expression identification, Emotion Detection, Comparison of Products. This paper also represents a Comparative study of sentiment analysis techniques including machine learning technique and lexicon based technique. The comparisons are majorly drawn based on features such as techniques, data source, data scope, and limitations. The proposed framework performs well with F1-Score 76.426%.
Machine Learning Algorithms for Disease Prediction Using Iot Environment
Authors:   Research Scholar and Assistant Professor, Information Technology Department, Dr.Babasaheb Ambedkar Technological University, Lonere, India., Yadav* Samir S. , Jadhav Dr. Shivajirao M. ,   Professor and Head, Information Technology Department, Dr. Babasaheb Ambedkar Technological University, Lonere, India.
Published: September 2019

In the most advanced healthcare application environment, the use of IoT technologies brings convenience to medical professionals and patients, since they have applied to health areas. In IoT, Body sensor network (BSN) technology plays a vital role in the healthcare system where lightweight wireless and low-powered sensor nodes used for monitoring the patients. In this paper, we propose a healthcare system using IoT and BSN technology. This system includes various sensors like pulse rate sensor, temperature sensor, and blood pressure sensor. These sensors sense the parameters and send the data to the controller. According to the conditions, the buzzer will on as temperature exceeds the given range. It carries the sensed data to the LCD to display on it. At the same time, data send to doctors using the internet, so that they can give quick and proper solution in real-time. Many patients suffer because of not getting the timely and appropriate solution and help for their problem. Proposed system hence offers the real-time solution and help in case of emergency. This system is convenient; therefore, a person can carry it with them. Thus continuous health checking is possible. The system also predicts the disease for a particular patient base on current reading using various supervised learning algorithms.
Implementation Of A Neural Network Tool For Evaluation Of Thermal Performance In A Heat Exchanger By Using Double Elliptical Leaf Angle Strips With Same Orientation And Same Direction
Authors:   Mechanical Engineering, Sri Sivani College of Engineering, Srikakulam, India., Rao* J.Bala Bhaskara , Raju V. Ramachandra ,   Mechanical Engineering, JNTU University, Kakinada, India.
Published: September 2019

Exchange of energy in all processes generally occur in the form of heat & work. The exchange of heat is determined by the rate of heat exchange between hot and cold body or cold and hot body. To exchange this heat we need two energy stacks such as a source & sink. So, whenever heat is rejected or accepted the energy change occurs identically i.e. amount of heat rejected is equal to amount of heat gained in an ideal case but when heat transfer rate is analyzed it is different fsor different processes such as vaporization is an instantaneous process whereas the condensation is slower and takes much more time so, with this idea that heat transfer rate can be altered individually in different processes an idea of analyzing heat exchanger by introducing elliptic double shaped leaf strips within the double pipe heat exchanger and the rate of heat transfer and pressure drop in is planned at various orientations of angles . From these obtained results neural network tool was designed for evaluating the thermal performance named the generalized regression neural network (GRNN).In this process certain input parameters are given (temperatures, mass flow rate) and instantly predefined output parameters (heat transfer rate, pressure drop) are obtained.
Mitigation of Selective Forwarding attacks in Wireless Sensor Network
Authors:   Computer Science and Engineering, Lingaraj Appa Engineering College, Bidar, India., Biradar* Deepak N. , Vishanath Dr. T.S. ,   HoD Electronics and Communication Engineering, BKIT, Bhalki, India.
Published: September 2019

Security issue in Wireless Sensor Networks (WSNs) is a major problem while dealing with WSNs. Therefore, WSNs are susceptible to various kinds of safety assaults. The restricted capability of sensor nodes is one reason for attacks in sensor networks. In WSNs, on the network layer, there are different kinds of safety attack detection methods. There are also many severe limitations in sensor nodes such as energy efficiency, reliability, scalability that affect WSN safety. As sensor nodes have restricted ability for the majority of the limitations, a selective forwarding attack in the networks is hard to identify. In selective forwarding attack, malicious nodes function as a ordinary nodes. However, it tries to find and crash messages prior to forwarding the packet to further nodes. For keeping this sort of attack aside from networks, we suggest a multi-layer strategy, Selective Forwarding Detection (SFD) that maintains the safe transmission of information among sensor nodes at the same time as detecting the selective forwarding attack. In addition, energy efficiency, reliability and scalability are part of the approach.
Development of Attenuation Model for Saturated Water and Sedimentary Deposits for Underwater Acoustic Signal Communication
Authors:   Research Scholar, Department of Electronics & Communication Engineering, C U Shah Universtiy, Wadhwan, Gujarat, India., Panchal* Sweta S , Pabari Jayesh P ,   Researcher, Physical Research Laboratory, Navrangpura, Ahmedabad, Gujarat, India., Panchal Sandip R ,   Asst. Professor, E & C Engg. Department, Sardar Vallabhbhai Patel Institute of Technology, Vasad, Gujarat, India.
Published: September 2019

In this paper, the model for absorption co-efficient for underwater tank is proposed for medium of raw water concentrated with sodium chloride. With course of time, sediments gets deposited at the bottom of tank. The attenuation model for underwater tank deposited with sediments is also developed. The attenuation models for pure water and sodium chloride are developed separately. The overall model for raw water saturated sodium chloride suitable for bounded shallow underwater medium like tanks. The resultant absorption co-efficient for pure water saturated with sodium chloride can be obtained by summation of the respective models and their percentage concentration. Similarly attenuation model for underwater tank having sedimentary deposits is also developed for various types of sedimentary deposits. For particular operating frequency of communicating devices placed in underwater tank, the absorption of underwater acoustic signal increases. The model reflects the change in attenuation loss as the length of sedimentary deposit increases. The underwater acoustic signal strength gets affected while its transmission in such mediums which can affect received signal strength. Also the length of sedimentary deposits can be related using attenuation model. These models helps to identify the increases concentration of sodium chloride and increases sedimentary deposits by analyzing the received signal strength.
Recognition of Emotional State Based On Handwriting Analysis and Psychological Assessment
Authors:   Professor and Head of Computer Engineering Department in Rajarshi Shahu College of Engineering, Pune, Kedar* S. V. , Rokade Shilpa ,   Master of Computer Engineering at JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pune, affiliated to Savitribai Phule Pune University.
Published: September 2019

Emotions describe the physiological states of an individual and are generated subconsciously. They motivate, organize, and guide perception, thought, and action. Emotions can be positive or negative. Negative emotions manifest in the form of depression, anxiety and stress. It is necessary to identify negative emotions of an individual who might be in the need for counseling or psychological treatment. Body signal analysis, handwriting analysis, and psychological assessment are some mechanisms to measure them. In this paper, emotional state is being measured through the person’s handwriting sample analysis and psychological assessment. Psychological assessment is done by using the results of DASS questionnaire attempted by the individual. Convolutional Neural Network (CNN) algorithm is used to find the emotional state of an individual from his/her handwriting sample. Comparative analysis is performed to suggest counseling/medication if required. The final CNN model is formed by using the ensemble method over cross-validation models. The accuracy achieved by the CNN model over the test dataset is 91.25%.
Information Seeking Behaviour of Graduate Students and Faculty Members in Engineering Colleges of Chennai District, Tamilnadu, India
Authors:   Assistant Librarian, University College of Engineering Panruti Campus, Anna University, Tamilnadu, India., Jayapriya* Dr.R. , Sathiyamurthy Arun ,   Research Scholar, Dept. of Library & Information Science, Annamalai University, Tamilnadu, India.
Published: September 2019

This study inspects the utilization of collection of resources and services at Library of eight Engineering Colleges (Affiliated to Anna University, Chennai) in Chennai District of Tamilnadu. To determine the information-seeking behaviour of the undergraduate and faculty users, 200 questionnaires were distributed during the January 2019 to March 2019. Out of 200, 172 filled questionnaires were returned by users. On the basis of that the present study focuses on utilization of resources, meaning of the library, purpose of visit of library, hours spent in library, preferred resources, searching criteria, and so on. Overall, this study reflects that the users are satisfied with the functioning of library.
Association of Business Value to Productivity through Information Technology
Authors:   Professor, Symbiosis Centre for Management Studies NOIDA, India., Singhal* Tarun Kumar , Vashisht Anubha ,   Professor, Symbiosis Centre for Management Studies NOIDA, India.
Published: September 2019

The organizations around the world have integrated information technology into their processes with anticipation in the increase in productivity. Importantly, they have considered business value as a measure of productivity generated through the adoption of information technology. Carrying this forward, several information technology practitioners have tried to examine the relationships between business value and adoption of information technology. Business value aspects (employee value, customer value, economic value, and managerial value) have been examined in multiple research studies for adopting and implementing information technology. Some of the research studies have found a positive correlation between business value (as a measure of productivity) and the implementation of information technology. This research paper has attempted to examine whether business value can be safely associated with productivity through information technology.
Evaluating the Impact of Macroeconomic Variable on Indian Stock Market
Authors:   Research Scholar, School of Management, Symbiosis International University, Pune, (India) and Assistant Professor, Management, Gitarattan International Business School, Delhi, (India), Keswani Sarika , Wadhwa Bharti ,   Associate Professor, Symbiosis Centre for Management Studies, Noida, Symbiosis International University, Pune, (India)
Published: September 2019

The prices of shares and other financial assets have constantly had a significant influence in the improvement and advancement of financial activities, and this has turned out to be clear ever. Macroeconomic factors show the prosperity of any economic system and determine the investment future. Macroeconomic factors influence pricing in any economy. Macroeconomic vulnerability influences stock and commodity market, which altogether decides price instability. The securities exchange is a basic stage in the money related arrangement of our nation as it assumes a major role in directing shortage area investment funds to the surplus part. The research examined the impact of certain macroeconomic factors (disposable revenues, interest rates, govt. policies, inflation and exchange rates) on the results of securities market performance in the National and Bombay stock exchanges. Thusly, the causal connection between the securities exchanges returns and chose macroeconomic factors in the NSE and BSE has been resolved in the investigation. The examination utilized the ADF, correlation, multiple regression and granger causality test for analyzing the association between the chose factors The study period was assessed by monthly data for 2006-2016. The findings showed that in the first difference the variables are stationary. There is a strong relationship exists between disposable income, government policies, the exchange rate and share price. This means that if these variables change, the stock prices of NSE and BSE will be affected. Furthermore, there is an unfavorable connection in the NSE and BSE between interest rate and inflation rate and share price, which means a shift in inflation and interest rate that will not have a strong impact on stock prices and will be in an adverse direction. In addition, a multiple regression that showed these variables was used to check the effect of selected macroeconomic factors on Indian stock prices. They have an influence on the NSE and BSE share prices.
Adiabatic Hamming Code Generator-Checker using 4-Dot-2-Electron Quantum Dot Cellular Automata
Authors:   Research Scholar, Department of Computer Science and Engineering, Jadavpur University, Kolkata, (West Bengal), India,, Chaudhuri Ayan , Sengupta* Diganta ,   Dept. of Computer Science and Engineering, Techno International Batanagar, Kolkata, West Bengal 700141, India,, Chudhuri Chitrita ,   Department of Computer Science and Engineering, Jadavpur University, Kolkata, (West Bengal), India,
Published: September 2019

Technological advancements have witnessed rapid regression of Moore’s Law within the past few years. With rising demand for higher clocking speeds, CMOS has already started exhibiting threshold limitations. Reversible Logic has emerged as a suitable alternative with near zero heat dissipation attribute. Quantum Dot Cellular Automata (QCA) has adopted the concept of reversibility and emerged as a primitive tool for quantum architecture deigns with clocking near Terra-Hertz range. A plethora of quantum architectures based on QCA cells have been proposed till date. With rise of research on digital designs based on QCA, multiple literary proposals exist which realize digital designs incorporating QCA cells. This communication proposes a Hamming Code Generator-Checker architecture design using 4-dot-2-electron QCA cells. We employ an existing QCA based XOR gate literary proposal for designing the proposed architecture. Peer comparison with literary counterparts has proven our design to fare better with a gain of 60.6% in area.
Triplet Energy Transfer and C is T rans I somerization I n 3 P henyl 2 P ropenyloxybenzophenone
Authors:   Research Scholar, Department of Chemistry, Hindustan Institute of Technology and Science, Chennai 603103, India., Murugesan* Kumaresan , Sowrirajan Sumathi ,   Department of Chemistry, Hindustan Institute of Technology and Science, Chennai 603103, India., Kuppusamy Balasubramanian Kalpattu ,   Department of Biotechnology, Indian Institute of Technology Madras, Chennai 600036, India.
Published: September 2019

In this report, photochemical behavior of 2-(3-phenyl-trans-2-propenyloxy)benzophenone and 2-(3-phenyl -cis-2-propenyloxy)benzophenone is discussed. In contrast to allyl and propargyl ethers of 2-hydroxybenzophenone that were photoactive at 330 nm leading to the formation of 2,3-disubstitutedbenzofuranols, 2-(3-phenyl-trans-2-propenyl oxy)benzophenone and 2-(3-phenyl-cis-2-propenyloxy) benzophenone under these conditions led to photoisomerisation and resulted in the formation of a mixture of cis and trans isomers in photostationary equilibrium, due to intramolecular energy transfer.
Design and Implementation of High Security Cryptography for Network Applications by Using Bit Transition Encoder and Decoder
Authors:   Department of Computer Science & Engineering, Research Schlor, Jawaharlal Nehru Technological University, Anantapur, India., reedy* M Indrasena , Kumar Dr. A.P Siva ,   Department of Computer Science & Engineering, Jawaharlal Nehru Technological University, Anantapur, India.
Published: September 2019

As of late, the security for any data transmission through any channel or media is significant issue because of hacking diverse strategies. Presently a day, rather than giving the security level to data, the improvement is expanded towards the commandeering of data amongst sender and beneficiary. The level of security relying upon the extent of synchronous key which is utilized for encoder and decoder handling and in existing strategies like AES, reed Solomon codes and square codes utilizes the bigger key size yet at the same time there is security issues because of hacking techniques. To address the security level and hacking issues, the novel Bit Transition Encoder and Decoder (BTED) is displayed and synchronous key is created utilizing scalar duplication which incorporates point multiplying and point expansion. The produced focuses are encoded utilizing BTED before transmission and transmitted through remote channel and the encoded information is unravels at collector utilizing BTED with converse operation. The whole novel cryptography framework has been created utilizing mat lab; the outlined framework is tried as far as speed, deferral and control and furthermore approved on Mat lab 2014a.
Methodology for Determining the Factors that Affect the Current State of Implementation of Investment Strategies in Public Administration
Authors:   Department of Public Administration, Kyiv National University of Trade and Economics, Kyiv, Ukraine, Holovnia* Yuliia , Kotsiurubenko Ganna ,   Department of Finance Odessa National Economic University, Odessa, Ukraine, Husiatynskyi Mykola ,   Department Department of Management, University of the State Fiscal Service of Ukraine, Irpin, Ukraine, Martyniuk Iryna ,   Department of Finance, Odessa National Economic University, Odessa, Ukraine, Khomutenko Vira ,   Odessa Forensic Research Institute of Ministry of Justice of Ukraine, Odessa, Ukraine, Cheremnova Antonina ,   Odessa Forensic Research Institute of Ministry of Justice of Ukraine, Odessa, Ukraine
Published: September 2019

The main feature of the modern state investment policy is the creation of conditions for extending extra-budgetary sources of financing of capital investments and attraction of investments of own and foreign investors in the economy of the country based on the further improvement of the regulatory framework and state support of productive investment projects. State regulation of the investment process is carried out to implement economic, scientific and social policies. The constructed classification can be used by the heads of public administration institutes in developing business plans for investment projects, creating a model for managing an investment project, monitoring the implementation of a business plan for an investment project, developing regulatory management decisions aimed at adjusting the business plan and actions of executors of the investment project.
Mathematical Analysis of Queueing-Inventory Model with Compliment and Multiple Working Vacations
Authors:   Department of Mathematics, Periyar University, India. S. Padmasekaran, Department of Mathematics, Periyar University, India., Lakshmanan K. , Jeganathan* K. ,   Ramanujan Institute for Advanced Study in Mathematics, University of Madras, Chepauk, Chennai - 600 005, India.
Published: September 2019

In this paper, we provide independent continuous review of stock for two commodities, namely commodity 1(C1) and 2 (C2). The type 1(T1) customer demands C1 and Type 2(T2) customer demands C2 but C2 is also given to T1 customer as a compliment (i.e. C2 is also given as a compliment to C1). The arrival pattern of customers is from a finite source of population. The ordering policies of both commodities are independent and also, each customer demands service with positive time. A single finite retrial orbit is allowed for any customer, when the demanding item is stocked out or the server is busy. The pre-emptive priority service policy is assigned to T1 customer over T2 customer. The server may go for the working vacation as C1 becomes zero, in which T2 customer who is taking his service is allowed to orbit whenever T1 customer demands the service with both commodities and when the orbit is not full. The joint limiting distributions of four random variables are studied under steady state. Long run expected total cost rate and measures of system performance are derived.
Design of Dynamic Source Routing With the Aid of Fuzzy Logic for Cross Layered Mobile Ad Hoc Networks
Authors:   PhD Scholar Anna University,Chennai, India, T* Saravanan , N S Nithya ,   Associate Professor, Dept of CSE, K.S.R College of Engineering , Tiruchengode, Namakkal, India
Published: September 2019

The conventional dynamic source routing (DSR) standard chooses the path in need of minimal hop counts for communicating the information from the source to the target. Therefore due to node displacements in autonomous self – regulatory ad hoc networks, the path comprising a minimal number of probably increased extent hops do not works well always. Moreover, the presently employed path might split due to the node displacements and the path related data acquired from the path identification might become illogical. For avoiding the probably imprecise nature of the route-related data a fuzzy logic supported scheme is initiated into the routing scheme for evading the control of rough routing related data. Extensively the fuzzy logic supported schemes are probable of operating various inputs which therefore are used for both the anticipated path lifespan and the hop counts as their input thus permitting to combine the physical layer and the network layer into a mutually modeled routing standard. The lifetime of the path is usually minimized based on the increased node displacements. The precise path with increased path constancy is lastly chosen for communicating the data and based on the lifetime of the path the path cache termination time is altered erratically. The illustration is performed for the designed fuzzy based DSR scheme which outdoes the traditional DSR in terms of reasonable network outcomes rather with minimal network governance load. Lastly measuring the influence of the physical layer is performed over the possible behavior of the network layer for various physical layer schemes using NS 2 simulator.
Effect of Temperature on the Rate of Gain of Strength of Concrete
Authors:   Assistant Professor Department of Civil Engineering, Islamic university of Science &, Gul Misba ,   Technology, Awantipora J&K, Qasab Riyaz Ahmad ,   Assistant Professor Department of Civil Engineering, Islamic university of Science & Technology, Awantipora J&K, Naqash J.A. ,   Associate Professor, Department of Civil Engineering, National Institute of Technology, Srinagar., Shafi Iqra ,   Junior Engineer PWD R&B Kashmir, Yaqoob Khurshid ,   Junior Engineer PWD R&B Kashmir not Junior Engineer JKSPDC, Kashmir, Bhat Mudasir Ahmad ,   Junior Engineer JKSPDC, Kashmir
Published: September 2019

This paper presents the effect of temperature on the rate of gain of strength of concrete. Different samples of concrete were cast at different temperatures and various properties of concrete in fresh and hardened state were determined. It was observed that the three strength parameters viz. the compressive strength, the split tensile strength and the flexural strength of concrete are adversely affected when the temperature during first 24 hours is less than or equal to zero degree Celsius. The compressive strength of concrete was determined using 100mm and 150 mm cubes and a comparison was made between the two. It was observed that the strength of 100 mm cubes was greater than that of 150 mm cubes. Later a relationship was developed between 7 days,14 days and 28 days strength.
Development of Correlation between Cost of Canal Base Small Hydro Power Scheme and Rated Power
Authors:   Civil Engineering Department, , SVNIT Surat, SURAT, INDIA, Rana* Shilpesh C. , Patel Dr. Jayantilal N. ,   Civil Engineering Department, , SVNIT Surat,SURAT, INDIA
Published: September 2019

Paper With the correlation, relationship between different variables can be found out. The objective of research is to develop correlation between cost of canal based small hydro power scheme and rated power. For correlation development, four canal fall locations of Sakarda and four canal fall locations of Ranoli branch canal have been considered. Correlation has been developed using regression analysis, and the developed model is validated with T-test method. After designing of hydro power components, cost of small hydro power (variable) has been estimated using current market rates. Small hydro power components are designed as per Indian Standard guidelines. As a result coefficient of determination found is 0.856, which shows that there is a positive significant relation between both the variables (cost of canal based small hydro power scheme and rated power). Developed correlation is validated using T-test. T-test was carried out for confidence level of 95 % and 99 %. From the results of T-test, finally it is concluded that regression is significant and developed correlation can be use to find out cost of canal base hydro power scheme.
Modeling of Spatial Data on the Construction Site Based on Multidimensional Information Objects
Authors:   Department of information technology designing and applied mathematics, Kyiv National University of Construction and Architecture, Kyiv, Ukraine., Mihaylenko* Viktor , Honcharenko* Tetyana ,   Department of information technology, Kyiv National University of Construction and Architecture, Kyiv, Ukraine., Khrystyna Chupryna ,   Department of construction management, Kyiv National University of Building and Architecture, Kyiv, Ukraine., Andrashko Yurii ,   Department of system analysis and optimization theory, State University «Uzhhorod National University», Uzhhorod, Ukraine., Budnik Svitlana ,   Department of theory and teaching methodology of natural and mathematical disciplines of primary education, Lesya Ukrainka Eastern European National University, Lutsk, Ukraine.
Published: September 2019

The article presents information modeling different types of spatial data on the construction site. The description of spatial and attribute data based on multidimensional information objects (MIO) is determined. It is proposed to use a new type of MIO called modified multidimensional information objects (MMIO). MIO and MMIO schemes are developed for each type of master planning object in the form of one multidimensional information object. Complete descriptions of layers of point, linear and polygonal spatial objects are presented, which allows simplifying the model of the structure of existing databases of spatial information processing systems. The results of the study show that multidimensional information objects allow describing in unified mathematical form sets of various types of spatial data models. The result of modeling of general planning spatial based on multidimensional information objects corresponds the modern requirements of information modeling in construction  BIM-technology and design of master plans on the new technological level.
A Simple Mechanistic Model Used For Tool Wear in Turning AISI 4340 Steel
Authors:   Mechanical Engineering Department, Government College of Engineering Keonjhar-758002, Odisha, India, Mohapatra Dr. Ramesh Chandra , Dhar Ananda Rabi ,   Mechanical Engineering Department, National Institute of Technology, Durgapur – 713209, West Bengal, India, Mandal Nilrudra ,   Materials Processing & Microsystems Laboratory, CSIR-Central Mechanical Engineering Research Institute, Council of Scientific & Industrial Research (CSIR), Durgapur 713209, West Bengal, India, Roy Shibendu Shekhar ,   Mechanical Engineering Department, National Institute of Technology, Durgapur – 713209, West Bengal, India
Published: September 2019

Determining correct tool life is a key to efficient machining, which makes tool wear extremely important. Development of new and exotic tool materials like ceramics, carbides, nitrides, cermet, diamonds, etc. has intensified research activities in the area of modeling and optimization of turning process. Building an ideal theoretical model is considerably complex because of involvement of multiple physics and absence of readily available data on material property. This paper describes an attempt of building a simple mechanistic model for turning AISI 4340 steel by an uncoated carbide insert using a commercial package ABAQUS/CAE. The tool wear rate is computed using USUI’s wear model on the results found after running simulation. The predicted tool wear data were found in close agreement with the experimental findings.
Design and Performance of UWB Wide Slot Antenna to Detect the Breast Cancer in Women
Authors:   Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India., Jone* A.Amir Antone , Jebarani P Esther ,   Department of Computer Science, Kovai Kalaimagal College of Arts and Science, Coimbatore, India,, George Navin M ,   Department of Media and Communication, Karunya Institute of Technology and Sciences, Coimbatore, India., Subramanian Suresh ,   Department of ECE, Sri Indu Institute of Engineering and Technology, Hyderabad, India., Sagayam K. Martin ,   Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India.
Published: September 2019

Breast cancer is one of the fatal diseases that greatly contribute to the death of many women across the nations. Basically, breast cancer can be detected using a wide slot UWB antenna. In this paper the performance of both antennas like wide slot and stacked patch are used to compare the detection of breast cancer. The specific absorption rate of both antennas is calculated in a normal tissue and tumors tissue, the result is contrast. From this comparative study it’s clear that wide slot UWB antenna has outstanding performance in this UWB frequency range and the size of the antenna is three times smaller when compared to the size of the stacked patch antenna. The performances of both the antennas were analyzed and the result suggests that the wide slot antenna performs better than the further antenna.
Support System of Solutions for Planning Sales Activities in the Tourism Industry
Authors:   Department of Tourism, Hotel and Restaurant Business Odessa National Economic University, Odessa, Ukraine, Davydenko* Iryna , Shykina Olga ,   Department of Tourism, Hotel and Restaurant Business Odessa National Economic University, Odessa, Ukraine, Gudz Petro ,   Management Department, National University "Zaporizhzhya Polytechnic", Zaporozhye, Ukraine, Tovkan Oleh ,   Department of Economics of Enterprise and Investment, Institute of Economics and Management, National University Lviv Polytechnic, Lviv, Ukraine, Yakymyshyn Liliya ,   Industrial Marketing Department, Ternopil Ivan Puluj National Technical University, Ternopil, Ukraine, Golovchenko Olena ,   Department of Economics and International Economic Relations, International Humanitarian University, Odessa, Ukraine
Published: September 2019

The problems of creating methodologies and analytical models for decision support for planning and forecasting operational activities are compounded by the vast majority of tourism companies due to industry specifics and are currently not fully developed due to the current level of business planning, the traditional commitment of company management to administer and situational management, the prevalence of a retrospective approach to analysis over-promising, low quality and similar data of managerial accounting for the formation of a reliable operational "fact", as well as weak formalization and automation of the in-house process of financial and economic planning and forecasting based on information and analytical systems. The developed decision support system for marketing planning in the tourism industry and the supporting algorithm incorporates the functionality of sliding adaptive planning of daily revenue, which can significantly reduce the information gap between the strategic and operational levels of tourism company management and significantly improve the quality of the generally accepted process of budget marketing of sales. As a result, the decision support system not only takes into account the features of the typical process of corporate marketing planning but also allows you to design a system of dynamic planning and to forecast the marketing activities of a travel company with improved properties of efficiency, accuracy and adaptability.