bluuebunny/crossref_metadata_2025 huggingface dataset:
Simultaneous Scheduling of Machines and AGVs in FMS through Simulated Annealing Algorithm
Authors:   Department of Mechanical Engineering,K L E F University, Guntur,AP,India, Rao* Dr. M. Nageswara , S. Varakumari ,   Department of E C E, ,K L E F University, Guntur,AP,India, Inturi Praneeth ,   Department of Mechanical Engineering,K L E F University, Guntur,AP,India., Prasad K. Gaya ,   Department of Mechanical Engineering,K L E F University, Guntur,AP,India., Reddy D. Venkata ,   Department of Mechanical Engineering,K L E F University, Guntur,AP,India., Vineeth E. ,   Department of Mechanical Engineering,K L E F University, Guntur,AP,India., Reddy D. Maheshwar ,   Department of Mechanical Engineering,K L E F University, Guntur,AP,India.
Published: February 2020

High amount of flexibility and quick response times have become essential features of modern manufacturing systems where customers are demanding a variety of products with reduced product life cycles. Flexible manufacturing system (FMS) is the right choice to achieve these challenging tasks. The performance of FMS is dependent on the selection of scheduling policy of the manufacturing system. In Traditional scheduling problems machines are as considered alone. But material handling equipment’s are also valuable resources in FMS. The scheduling of AGVs is needed to be optimized and harmonized with machine operations. Scheduling in FMS is a well-known NP-hard problem due to considerations of material handling and machine scheduling. Many researchers addressed machine and AGVs individually. In this work an attempt is made to schedule both the machines and AGVs simultaneously. For solving these problems- a new metaheuristic Simulated Annealing (SA) algorithm is proposed.
Electro Winning from Dilute Solutions at Enhanced Rates using Three-Phase Flow Reactor
Authors:   Department of Chemical Engineering, Andhra University, Visakhaptnam-530003, India., Kishore* G. Sai , Vijay M. ,   Centurion University of Technology and Management, Paralakhemundi-761211, Odisha, India., Reddy G. V. S. K. ,   Department of Chemical Engineering, MVGRCE(A), Vizinagaram-535005, India., Ramesh K. V. ,   Department of Chemical Engineering, Andhra University, Visakhaptnam-530003, India.
Published: February 2020

Enhancement of mass transfer coefficient is highly desirable for economic design of process equipment. The present study is essentially carried out to know the effect of flow variables such as gas and liquid velocities and geometric parameters of the internal on mass transfer coefficients in a three phase fluidized bed. The mass transfer coefficient data were obtained using a string of cones internal in a three-phase fluidized bed electrochemical reactor. The flow system investigated was nitrogen, a fluid electrolyte and spherical glass beads as gas, liquid and solid phases respectively. Limiting current technique was employed to obtain mass transfer data. The internal comprises of a string of cones arranged concentrically on a central rod which is placed coaxially in a three phase fluidized bed. The presence of internal in three phase fluidized beds augmented the mass transfer coefficient significantly. In the present investigation it was found that the effect of gas velocity, liquid velocity, rod diameter and cone diameter was only marginal. However, the influence of pitch, half apex angle of cone and particle diameter was found to be significant. Correlations were developed based on least squares regression analysis for the prediction of mass transfer coefficient in terms of pertinent variables.
Efficiency of Various Time-Frequency Representations in Deep Neural Network based Passive Sonar Target Classifiers
Authors:   Department of Electronics, Cochin University of Science and Technology, Kochi, India., Kamal* Suraj , Chandran C. Satheesh ,   Department of Electronics, Cochin University of Science and Technology, Kochi, India., M.H. Supriya ,   Department of Electronics, Cochin University of Science and Technology, Kochi, India.
Published: February 2020

Passive acoustic target classification is an exceptionally challenging problem due to the complex phenomena associated with the channel and the relatively low Signal to Noise Ratio (SNR) manifested by the pervasive ambient noise field. Inspired by the overwhelming success of Deep Neural Networks (DNNs) in many such hard problems, a carefully crafted network specifically for target recognition application has been employed in this work. Although deep neural networks can learn characteristic features or representations directly from the raw observations, domain specific intermediate representations can mitigate the computational requirements as well as the sample complexity required to achieve an acceptable error rate in prediction. As the sonar target records are essentially a time series, spectro-temporal representations can make the intricate relationship between time and spectral components more explicit. In a passive sonar target recognition scenario, since most of the defining spectral components reside at the lower part of the spectrum, a nonlinear dilated spectral scale having an emphasis on low frequencies is highly desirable. This can be easily achieved using a filterbank based time-frequency decomposition, which allows more filters to be positioned at the desired frequency ranges of interest. In this work, a rigorous analysis of the performance of time-frequency representations initialized at various frequency scales, is conducted independently as well as in combination. A convolutional neural network based spectro-temporal feature learner has been utilized as the initial layers, while a deep stack of Long Short Term Memories (LSTMs) with residual connections has been used for learning the intricate temporal relationships hidden in the intermediate representations. From the experimental results it can be observed that a linear scale spectrogram achieves an accuracy of 92.4% and 90.2% respectively for validation and test sets in the single feature configuration, whereas the gammatone spectrogram is capable of attaining an accuracy in the order of 96.7% and 96.1% respectively for the same. In a multifeatured setup however, the accuracy reaches up to 97.3% and 96.6% respectively, which reveals that a combination of properly initialized intermediate representations can improve the classification performance significantly.
Lane Keeping Assist System
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai., Senthil* Mr. Manoj , Dinnamani Mr. Vinod Ramachandra ,   Robert Bosch Engineering and Business Solutions Ltd., Ravindran Miss. Shobiga Sherline ,   Department of Electronics and Communication Engineering in karunya institute of Technology and Science, Perundurai.
Published: February 2020

In urban areas, accident rate is increased due to the loss of concentration of the driver. To overcome this problem autonomous based driving vehicle is introduced and since autonomous vehicles needs to find the path to be travelled over the lane. Grid based estimation is introduced which will be helpful to find the correct position of the lane and if it deviates from the correct position it automatically comes to the correct path. Preprocessing method is used to find the correct path of the lane to avoid the false region over the lane images. This system will helpful to find the correct position of the vehicle over the lane. It also helpful to find the distance from the camera to the point of the image.
Novel Technique for Optimal Placement and Sizing of DG in 3-Phase Unbalanced Radial Secondary Distribution System
Authors:   Research Scholar, Acharya Nagarjuna University, Guntur, AP, India, Babu* Ponnam Venkata K , Swarnasri Dr.K. ,   Professor, EEE Department, RVR & JC College of Engineering, Chowdavaram, Guntur, AP, India.
Published: February 2020

The optimum position and volume of the Distributed Generation to be planned in the unbalanced radial distribution network (URDN) is critical to minimize power losses. Incorrect size and location may enhance the power losses and voltage regulation. This paper investigates the operations of the distribution system and aims to develop a new technique to solve the problem of placement and sizing distributed generation to minimize power loss, improving the profile of voltage. A Novel Sensitivity Analysis is used to estimate the optimal position and volume of DG units to be installed in a URDN. The proposed technique is validated on the 25 bus test system to illustrate and evaluate the correctness. The results are confronted with the results of distinct methods available in the literature. The performance of the proposed method is considered to be better in terms of the quality of the solutions than the other classical techniques..
Strengthening Properties of Concrete with Partial Replacement of Sand by GBFS
Authors:   Assistant Professor S R Engineering College, Ananthsagar, Warangal, (TS) India., Prabhanjan* N. , Pawar Praveen ,   Professor & Head of Civil Dept, BKEC basavan kalyan, Karnataka India., Tipraj  ,   Assistant Professor Civil Dept, S R Engineering College, Ananthsagar, Warangal, (TS) India., Alok Govil ,   Assistant Professor Civil Dept, S R Engineering College, Ananthsagar, Warangal, (TS) India., Md. Asif  ,   Assistant Professor, Department of CE Govt polytechnic college Kalagi, Kalburagi, Karnataka, India.
Published: February 2020

It is an evident fact that, the rate of depletion of natural resources like sand is moving to higher grounds every year. In order to curb the later effects, an investigation is led by replacing a portion of sand by GBFS in the entire mixture. GBFS (Granulated Blast Furnace Slag) is a waste byproduct obtained from mining and other industries, whose disposal has led to various Environmental Nuisances. In this investigation the trial mixes by replacing sand by GBFS for 0%, 25%, 50%, 75% & 100% are used. The aim of the investigation is to study the strengthening properties of concrete and various attributes involved in it. In our investigation the absolute number of 30 cubes, prisms and cylinders are prepared for deciding the compressive, flexural and split strengths separately. At 7and 28 days relieving period. In view of the test outcome it was seen that the quality properties of solid increments with expanding the level of GBFS sand The optimum replacement proportion is obtained between 50-75%. The compressive strength, flexural strength and split tensile strength is increased about 3.43%, 17.11% and 10.58% respectively when compared to conventional concrete at 28 days curing period. Even at 100% replacement level of GBFS sand also we will get a good structural grade concrete. Hence utilizing GBFS sand in the concrete is economical as well as environmental friendly option for producing a greener concrete.
IoT-based Horticultural Generation Framework
Authors:   Department of computer science and engineering at Saveetha School of Engineering,Saveetha Institute of Medical and Technical Sciences,Chennai, Tamilnadu, India., Reddy* A.Bharathsimha , Subramanian Mr.E K ,   Department of Computer Science and Engineering in Saveetha School of Engineering,SIMATS, Chennai,Tamilnadu, India.
Published: February 2020

There has been a lot of research and different endeavours to apply new IoT innovation to agrarian zones. In any case, IoT for the agribusiness ought to be considered diversely against similar territories. The proposed system exhibits the IoT-based horticultural generation framework for settling market interest of rural items while building up nature sensors and forecast framework for the development and creation for measure of harvests by social occasion its ecological data. Presently, the interest by utilization of horticultural items could be anticipated quantitatively, nonetheless, the variety of gather and generation by the difference in homestead's developed zone, climate change, illness and bug harm and so forth couldn't be anticipated, with the goal that the organic market of rural items has not been controlled appropriately. The IoT-based rural creation framework through relationship investigation between the yield measurable data and horticultural condition data has improved the capacity of ranchers, analysts, and government authorities to dissect current conditions and anticipate future collect. Furthermore, horticultural items quality can be improved in light of the fact that ranchers watch entire cycle from seeding to selling utilizing this IoT-based choice emotionally supportive network. Strategies for gather anticipating have gotten progressively detailed. Profoundly refined measurable systems in farming are currently being utilized to remove data from past information and to extend forecast estimations of financial factors. To an enormous degree, these advances in the study of reap anticipating have been gained conceivable by ground in IT innovation. Be that as it may, lone measurable strategies don't give immaculate future circumstance. Thusly, it is important to examine associating checking crop conditions with factual data about collect. It is normal that from IoT-based choice emotionally supportive network, this data on factual example of harvest can be gotten. The motivation behind this investigation is to improve the horticultural figure supporting data framework, so constant conjecture will be conceivable. To this end, it will be expected to oversee IoT gadgets and assemble data on them all the more properly.
2189 Retrieval Number: D1696029420/2020©BEIESP DOI: 10.35940/ijitee.D1696.029420 Journal Website: www.ijitee.org Published By: Blue Eyes Intelligence Engineering & Sciences Publication Impact of Seminars on Student Soft Skills Development
Authors:   Professor, Computer Science and Engineering, MLR Institute of Technology, Laxma Reddy Avenue, Dundigal, Quthbullapur (M), Hyderabad, India, Gothane* Dr. Suwarna
Published: February 2020

Conduction of seminar is crucial and essential for the students who find difficult in understanding more or less understanding on subject topics. Seminar creates interest in student understanding by means of better teaching aids compare to normal classroom chalk and board/talk session. Seminar plays vital role in business as well educational fields to grasp subject inside. Conducting a successful technical seminar requires careful preparation. Seminar MLRIT focuses on mandatory course of Technical Seminar for empowering students and overall personality development.
Flexural Response of R.C. Tee Beams Strengthened with Ferrocement
Authors:   Research scholar, Department of Civil & Structural Engineering, Annamalai University, Chidambaram, Tamilnadu, India, Raghunathapandian* P. , Palani Dr. B. ,   Professor, Department of Civil & Structural Engineering, Annamalai University, Chidambaram, Tamilnadu, India., Elango Dr. D. ,   Head, Department of Civil Engineering, Valliammai Engineering College, Chengalpat, Tamilnadu, India.
Published: February 2020

Ferrocement is the composite of Ferro (Iron) and cement (cement mortar). Ferrocement can be considered as a type of thin-walled reinforced concrete construction in which small-diameter wire meshes are used uniformly throughout the cross-section instead of discretely placed reinforcing bars and in which Portland cement mortar is used instead of concrete. In this investigation, 23 reinforced concrete Tee beams were tested for their flexural strength. Three sets of Tee beams were pre-damaged up to 60, 70, and 80 percent of the ultimate load level of control beams respectively. Beams pre-damaged up to 60% are designated as W1 and F1. Similarly 70% as W2 and F2 and 80% as W3 and F3. Two beams are undamaged, but they are strengthened are designated UW and UF. UW, W1, W2 and W3 set (3 beams in each set) of beams were strengthened with three faces of the web using ferrocement. UF, F1, F2 and F3 set (3 beams in each set) of beams were strengthened with three side faces of the web + bottom of the flange using ferrocement. After proper curing, all the strengthened beam specimens were tested for their flexural strength. The results were compared with corresponding control beams and presented. From the experimental investigation, it is seen that the ultimate Flexural strength capacity of Reinforced concrete Tee beams strengthened with ferrocement is significantly increased.
Analysis and Design of Micro Strip Patch Antenna for Bandwidth Enhancement
Authors:   Department of Electronics & Communication, Parul Institute of Engineering & Technology, Parul University, Vadodara, Gujarat, India., Gupta* Ramji , Soni Ram ,   Department of Electronics & Communication, Technocrats Institute of Technology- Advance, Bhopal, India.
Published: February 2020

Microstrip patch antenna for enhancement bandwidth has been presented based on stacked configuration. The microstrip patch antenna is a wide shaft narrowband antenna. it is made effectively by the printed circuit innovation and have the metallic layer at the two sides of the substrate, a transmitting patch on the upper side though metal plate on ground. For the improvements of bandwidth, there is influenced a more no. of slot on the ground plate to accomplish Ultra wide band (UWB). The UWB antennas is based on the micro strip patch antenna concept which is based on stacking. For the enhancement of bandwidth of the antenna, stacking is used in the designing of UWB antenna. In this research manuscript stack parasitic patch antenna is presented to enhance the bandwidth of the antennas different slot at ground. The proposed design is implemented in the CADFEKO software. For the design and analysis of a wide range of electromagnetic problem CADFEKO software is very useful having many applications to simulate 3D electromagnetic circuit included antenna design, micro strip antenna and circuits. The simulation results shows the enhanced antenna bandwidth of 14.5 GHz from 2.6 to 16.8 GHz..
Morphometric Analysis and Prioritization of Sub-Watersheds in Watershed of Nashik, Maharashtra of Godavari River Basin using Remote Sensing and GIS as a Tool.
Authors:   Department of Water engineering and management, Central University of Jharkhand, Ranchi, India., Kumar* Gaurav , Warwade Pratibha ,   Department of Water engineering and management, Central University of Jharkhand, Ranchi, India., Mukund Gulab ,   Department of Water engineering and management, Central University of Jharkhand, Ranchi, India., Dhaked Nitish ,   Department of Water engineering and management, Central University of Jharkhand, Ranchi, India., Suman Shailesh ,   Department of Water engineering and management, Central University of Jharkhand, Ranchi, India.
Published: February 2020

Hydrological analysis and for the integrated development of the watershed, it is essential to do geomorphometric analysis. A comprehensive study of drainage pattern, topography, and most essential erosion status can be analyzed through morphometric analysis. Prioritization of sub-watersheds according to the capacity of the water table of Nashik district watershed was evaluated by linear, aerial and relief aspects. The morphometric analysis has been used for the prioritization of seven sub-watersheds of the Godavari river basin in the Nashik district, Maharashtra. Using the Digital Elevation Model, the sub-watersheds were delineated in ArcMap 10.4 and also few extraction works were done in Erdas Imagine. Drains and their corresponding characteristics including stream length, stream order, stream frequency, circulatory ratio, texture ratio, compactness coefficient, elongation ratio, form factor, drainage density, bifurcation ratio is analyzed and their value has evaluated for each sub-watershed by using the Remotely Sensed-data and geospatial techniques. Finally based on morphometric behavior the priority has been given to each sub-watershed & rank has assigned to them, the most sensitive sub-watershed is identified. The reveled analysis says stream order ranges from 1 to 6. The overall stream segments of all order are 1,115 in the watershed. On the account of morphometric analysis prioritization of watershed is done. Resulting prioritization rank assigned to each watershed based upon the evaluated compound parameter given to them. Those Sub-watersheds having least compound parameter value has assigned the highest priority. Further, sub watersheds accordingly categorized into three type i.e. high (3.4-3.8), medium (4.0-4.2) and low (4.4) priority based on their maximum priority score (4.5) and minimum score (3.4).
Machine Learning Based Malware Detection: A Boosting Methodology
Authors:   Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Ravet, India., Ghate* Tejaswini , Pathade Chetan ,   Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Ravet, India., Nirhali Chaitanya ,   Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Ravet, India., Patil Krunal ,   Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Ravet, India., Korade Nilesh ,   Assistant Professor, Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Ravet, India.
Published: February 2020

Malware damages computers without user's consent; they cause various threats unknowingly, hence detection of these is very crucial. In this study, we proposed to detect the presence of malware by using the classification technique of Machine Learning. Classification type in Machine Learning requires the output variable to be of a categorical kind; it attempts to draw some conclusion from the ascertained values. In short, classification constructs a model based on the training set and values or predicts categorical class labels. In our work, we propose to classify the presence of malware by incorporating two chief classification algorithms, such as Support Vector Machine and Logistic Regression. The data set used for it was not satisfactory. Consequently, we tend to explore a data set that met our necessities and enforced Logistic Regression on the same moreover, we plotted a scatter-gram for the scope of visualization and incorporated XG-Boost for the performance enhancement. This study assists in analyzing the presence of malware by adopting a proper dataset and ascertaining pivotal attributes leading to this classification.
Random Forest Algorithm for Enhanced Prediction of Drug Target Interactions
Authors:   Department of Computer and Science Engineering, Jaypee Institute of Information Technology, Noida, India., Mehta* Shikha , Sharma Sparsh ,   Department of Computer and Science Engineering., Jaypee Institute of Information Technology, Noida, India., Anand Sagar ,   Department of Computer and Science Engineering., Jaypee Institute of Information Technology, Noida, India., Sharma Shreshth ,   Department of Computer and Science Engineering., Jaypee Institute of Information Technology, Noida, India., Goel Aditi ,   Department of Computer and Science Engineering, Jaypee Institute of Information Technology, Noida, India.
Published: February 2020

Identification of drug-target interaction (DTI) is an important challenge for research and development in the pharmaceutical industry. Biomedicine researchers have stepped from in vitro and in vivo experiments to in-silico methods for fast results. In the recent past, machine learning algorithms have become very popular for DTI predictions. This paper presents an ensemble approach- Random forest algorithm for DTI predictions. The performance of proposed approach is evaluated with respect to Matrix factorization, genetic algorithm, Support vector machines, K-nearest neighbor, Decision Trees and Logistic Regression over 4 benchmark datasets with diverse properties. The algorithm is evaluated over Accuracy and average ranking. Results establish that random forest algorithm is more suitable or DTI predictions as compared to other algorithms.
A Procedure to Prevent Confidential Information Leakage of Government Organizations in Bangladesh using Isakmp Cryptographic Technique
Authors:   Institute of Information Technology, Noakhali Science & Technology University, Nokhali-3814, Bangladesh., Ahmed* Tasniya , Sultana Marjia ,   Department of Computer Science & Engineering ,Begum Rokeya University, Rangpur-5404, Bangladesh., Hasan Md. Rakib ,   Department of Information and Communication Technology, Comilla University, Cumilla - 3506, Bangladesh, Khatun Mahmuda ,   Department of Computer Science & Engineering, Comilla University, Cumilla - 3506, Bangladesh., Jahan Israt ,   Department of Computer Sciene & Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Published: February 2020

To ensure security for the transmission of confidential information, Cryptographic algorithms play an important role in providing security against malicious attacks. Confidential information is exchanged among different organizations of the government. If the necessary security is not involved there, the information will be leaked due to un-trusted transmission, unattended nature and get access easily which can cause a disaster in the government system. In this research, my centre of attention is to prevent confidential information leakage in government organization using ISAKMP cryptographic technique.
Pressure Drop if Tetraflouroethane in Small Hydraulic Diameter Capillary Tubes
Authors:   Professor, Xavier University, Cagayan de Oro City, Philippines., Dollera* Elmer B. , Bagayna Jethro C. ,   Department of Mechanical Engineering, Xavier University, Cagayan de Oro City, Philippines., Dotdot Kristian Jon A. ,   Project Inspector, Department of Public Works and Highways, Regional Office 10, Cagayan de Oro City, Philippines., Wasana Adi Widya ,   Department of Mechanical Engineering, Xavier University, Cagayan de Oro City, Philippines., Ybañez Carlo Van Franco Z. ,   Department of Mechanical Engineering, Xavier University, Cagayan de Oro City, Philippines.
Published: February 2020

Developing a compact device has become a current trend in this modern world which pertains to a lesser energy consumption. It also applies to a mini refrigerator unit to accommodate a small device being cooled wherein the cooling unit has to be in a smaller configuration compared with the conventional sizes. This study focuses on the pressure drop of capillary tubes with six(6) different small hydraulic diameters of 0.20mm, 0.25mm, 0.30mm, 0.35mm, 0.40mm, and 0.45mm with 3 different total lengths of 300mm, 600mm, and 900 mm. Tetraflouroethane liquid refrigerant is used as the cooling medium for the refrigeration system which allows the expansion of the refrigerant in order to absorb heat from the surroundings. In fabricating these six(6) different small hydraulic diameters, stainless steel strings were inserted into the conventional capillary tubes to reduce and attain the required hydraulic diameters. The pressure sensors were installed and pressure readings were then obtained in every 300-mm section of the capillary tube assembly. By allowing the pressurized tetrafluoroethane refrigerant to flow from its reservoir tank through the capillary tubes, pressure readings were taken by the data logger in every 300-mm section of the capillary tube. With these data, the pressure drops were then calculated. Pressure drop of all the six(6) sets of capillary tubes were tested and analyzed. The result showed that the 0.20mm with a length of 900 mm capillary tube has the greatest pressure drop compared to the other specimens of the capillary tubes. It then implies that fabricating a small hydraulic diameter of capillary tube as small as 0.20mm by stainless steel string insertion is possible for 300-mm section, however for the longer section it needs more skills in inserting the string.
Measurement of Nuchal Translucency Thickness in First Trimester Ultrasound Fetal Images using Pose Invariant Context Aware Deep Learning Network
Authors:   Research Scholar, Dept. of Electronics, Bharati Vidyapeeth (Deemed to be University) college of Engineering, Pune, India., Chaoudhari* Kalyani , Oza Dr. Shruti ,   Professor, Dept. of E&TC, Bharati Vidyapeeth (Deemed to be University) college of Engineering, Pune, India.
Published: February 2020

The downside of current NT estimation strategy is limited with bury and intra-eyewitness fluctuation and irregularity of results. Existing techniques, be that as it may, present costly computational overhead and in this manner are as yet unequipped for quick NT limitation and location, which is fundamental for independent identification frameworks. Henceforth, we present a robotized location and estimation technique for NT in this examination. We are introducing a setting mindful Circumstance Independent Searching, what we can do create exact element maps to be used NT alongside a multi- level choice system for NT recognition. It can precisely find NT with an enormous difference of scales without presenting extra computational expense. We additionally build the primary enormous scale change emergency clinic dataset of 500 images, which gives a stage to specialist to assess the presentation of different NT restriction and identification calculations.
The Model of Secure Social Networks Activity Based on Graph Theory
Authors:   PhD, Professor, Deputy Head of Ivan Cherniakhovskyi National Defense University of Ukraine, Kyiv, Ukraine., Shchypanskyi Pavlo , Savchenko* Vitalii ,   Doctor of Technical Science, Professor, Director of the Institute of Information Protection, State University of Telecommunications, Kyiv, Ukraine., Akhramovych* Volodymyr ,   PhD, Associated Professor, Institute of Information Protection, State University of Telecommunications, Kyiv, Ukraine., Muzhanova Tetiana ,   PhD in Public Administration, Associated Professor, Institute of Information Protection, State University of Telecommunications, Kyiv, Ukraine., Lehominova Svitlana ,   Doctor of Economics, Associated Professor, Institute of Information Protection, State University of Telecommunications, Kyiv, Ukraine., Chegrenets Volodymyr ,   PhD, Associated Professor, Institute of Information Protection, State University of Telecommunications, Kyiv, Ukraine.
Published: February 2020

The article deals with social networks parameters that describe individuals within network. The basic idea is based on an assumption that individuals with common characteristics are likely to communicate with each other. This is a kind of epidemical model with the chance of sending some information, as a functions of distance between source and potential destination. The main approach in the article is based on clustering of local characteristics of network. They characterize degree of interaction between the closest neighbors of current graph node. For the most networks if a node A is connected to node B and node B – to node C, then, there is a big chance of the fact, that node A is connected to node C (friends of our friends are also our friends). Depending on the graph structure, between two nodes there are often a few different paths. Distribution of nodes degree is a distribution with “long tail” and is modelled with degree distribution. It means, that in such networks, there are a lot of nodes, that has 1-3 neighbors, but a little of nodes, which has thousands of neighbors. A modelling of parameters (possible quantity of graph edges, clustering coefficient, connection of new node, shortest and average path, residual lifetime of chain, node interactions, average degree of node etc.) of social networks is taken. Calculations are illustrated with graphical materials. Relevant equations are represented.
Security as a Service by Verification using Information System (Info-Sys) in Cloud Network
Authors:   Assistant Professor, Department of Computer Science and Engineering, University of Kalyani, West Bengal, India., Sarddar* Debabrata , Chakraborty Sougata ,   Senior System Engineer, IBM India Private Limited in Kolkata, India.
Published: February 2020

Security in Cloud Network is essential and data security is required when data is transmitted from the sender device to receiver end and vice versa. Sometimes, the eavesdroppers might steal sensitive data which is dangerous for the users of the cloud network. The goal of the paper is to propose a newer dimension to Cloud Computing - ‘Security as a Service by verification using Information System in Cloud Network’ in which an authentication procedure is used from the user side to ensure the privacy of the network. AES algorithm is used to encrypt the Unique Identification Number (UID) provided by the user to hide from the eavesdroppers and decrypt the same at the receiver end. In this algorithm, the same key is used for encryption and decryption process. Therefore, the sender and the receiver must know and use the same secret key. We have introduced an Information System that keeps track of all users and helps during the verification. Decryption of the encrypted UID will also be done in this system. It also helps to manage session of all users who have logged into the system and tries to access the information with the UID. If the user shares one’s UID with other personnel and if it causes any problem of insecurity in organizational network, then it will also be caught by the Information System. This helps to protect the cloud network from the trespassers and increases security of the network.
Energy Efficient Scheduling Scheme for Wireless Sensor Network
Authors:   Research Scholar, Dept of Computer Science & Engineering, GITAM University, Hyderabad, India., Reddy* Kothakapu Chandra , Yugandhar G. ,   Asst. Professor, Dept of Computer Science & Engineering, GITAM University, Hyderabad, India.
Published: February 2020

Energy conservation in wireless sensor network (WSN) is a critical need for efficient application in real time interface. Due to a continuous active mode operation, the nodes terminals have a large energy dissipation, which leads to faster energy dissipation. The need of energy conservation in wireless sensor terminals is very critical due to its remote battery energy source. In order to conserve energy, Terminals in WSN are scheduled to operate in different operative modes resulting in active and no-active modes called sleep operation. The scheduling resulted in higher energy conservation, however the static period scheduling of phase switching in WSN operation leads to additional switching energy loss. In this paper, a new scheduling Method for energy conservation using a active learning Exchange called ‘Tick’ wake attribute is used for adaptive control of operational switching in WSN. The proposed Method is a monitoring Method for energy conservation in WSN by operating in cluster mode operation. The operational condition in a simulation of distributed WSN nodes illustrated a higher energy conservation, and resulting in improvement of node life time and network metric in WSN interface.
Improving Back-End Services for Community Enterprise Through using Thai Chatbot
Authors:   Assistant Professor in Information Technology Department, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Thailand., Nuameesri* Sumitra , Poomhiran Lap ,   Ph.D. student in Information Technology, Faculty of Information Technology Department, King Mongkut’s University of Technology North Bangkok, Thailand.
Published: February 2020

Nowadays, chatbots are widely used in business and marketing. Especially in the front-end of application is used to the automated customer response service. This research presents Thai chatbot that helps increase the efficiency of usage for community enterprise entrepreneurs. This system focusing on back-end services such as payment status, product delivery, and product sales information. It can help entrepreneurs to inquire or check their selling information through a Thai chatbot using ontology technology to help identify messages from users and matching the results from the developed web services. It can classify the Thai words or messages from users say and respond to the relevant back-end services to the user with an efficiency value of over 90%. As a result of black box testing, Thai chatbot had the highest effectiveness in improving the back-end service for community enterprise entrepreneurs.
Using Lexicon-Based Opinion Mining to Gauge Customer Satisfaction
Authors:   Department of Computer Science, Jamia Millia Islamia, New Delhi, India., Mohammad* Abdelaziz Saleh , Kadri Mohammad Al ,   Department of Management, Başakşehir Islam Akadamisi Başakşehir, İstanbul, Turkey,
Published: February 2020

The web offers businesses a great tool to get instant feedback from their customers. Decision-makers need to improve the decision quality and increase the business performance, they required applications that provides data analysis and data visualization. In this paper, we will try to test users’ reviews about hotels in Europe, they stayed and left a comment expressing their feelings about their experience, by applying opinion mining and sentimental analysis methodology on 515,000 customers reviews to uncover how effective and useful a lexicon-based Sentiment Analysis system will be for business executives to improve the performance and quality of hotels. We wish to explore key-concepts of sentiment analysis, classification levels, different approaches to Sentiment Analysis. And we will apply step by step SA techniques to preprocess the text, tokenize, lemmatize, analyze text, then produce business intelligence visualization results.
Prospects of the Russian Coal Industry in the Conditions of Transition to a New Energy Pattern
Authors:   candidate of economic Sciences, associate Professor, Department of data analysis, decision-making and financial technologies, Financial University under the Government of the Russian Federation, 49 Leningradsky prospect, 125993 Moscow, Russian Federation,, Gennadjevna Apal’kova Tamara , Vasiljevna Kazantseva Natalia ,   candidate of economic Sciences, associate Professor, associate Professor of the Department of economic policy and economic measurements of the State University of management of the Ministry of science and higher education, Russian Federation,, Borisovna* Nadtochiy Yuliya ,   Associate Professor, Candidate of Pedagogical Sciences, Associate Professor at Department of Economics and Innovation Entrepreneurship, Institute of Economics and Law, MIREA – Russian Technological University (RTU MIREA), Moscow, Russian Federation
Published: February 2020

The article analyzes the prospects for changes in the volume of exports of Russian coal due to the reduction of its consumption for energy production by the importing countries. The importance of Russian power generating coal for the energy supply to the world as a whole and to individual importing regions in particular is shown. It is justified that a radical and abrupt refusal to use coal as an energy source in the next few years would hardly be possible because the per capita and the total electric energy consumption has been growing all over the world. To a large extent, this is due to the increase in the number of data centers around the world, which centers do not yet have enough “green” sources of energy to ensure the uninterrupted operation thereof. Therefore, coal exports from Russia to the European countries, China and DPRK will continue to grow in the years to come; this is confirmed by the forecast models built by the authors, which models consider changes in the coal and electricity consumption by major importers. By the time the conditions are ensured for the majority of countries in the world to abandon coal as a source of electricity in order to stop air pollution, Russia will need to find opportunities for its alternative use, an example of which would be the creation and development of production of competitive products of the coal chemical industry.
Misclassified Reduced Instance and Stochastic Gradient Descent with Logistic Regression Model for Customer Churn Prediction
Authors:   Research Scholar, Department of Computer and Information Science, Annamalai University., Amali* Isabella , kumar Dr. R. Arun ,   Assistant Professor, Department of Computer Science and Engineering, Annamalai University., Mohan Dr. R. Madhan ,   Assistant Professor, Department of Computer Science and Engineering, Annamalai University.
Published: February 2020

Customer Churn Prediction (CCP) is a difficult problem found to be helpful to make decisions due to the rapid growth in the number of telecom providers. At present, deep learning models are familiar because of the significant improvement in different areas. In this paper, a deep learning based CCP is introduced by the use of Stochastic Gradient Boosting (SGD) with Logistic regression (LR) classifier model. By the integration of SGD and LR, effective classification can be accomplished. To further improve the classifier efficiency, misclassified instances are removed from the dataset. Then, the processed data is again provided as input to the classification model. The presented SGD-LR model is validated on a benchmark dataset and the results are examiner with respect to different measures. The experimental outcome pointed out the projected model is superior to available CCP models on the identical dataset.
Predicting Mouse Cursor Target using Backpropagation Neural Network
Authors:   Research Scholar, Department of CSE, Channabasaveshwara Institute of Technology, Tumkur, India. Visvesvaraya Technological University, Belagavi, India, V* Pradeep , Motwani Jogesh ,   Professor, Department of CSE, Channabasaveshwara Institute of Technology, Tumkur, India. Visvesvaraya Technological University, Belagavi, India.
Published: February 2020

Many solutions were proposed in the past decades to assist the people with disability in the movement to interact with personal computers. Various results were proposed to simulate the mouse cursor movement and click operations through facial expressions captured by the camera. Tracking and converting accurately the facial expression of the user to the mouse operation is still acknowledged as a research challenge and opportunity. The proposed system introduces a prediction of items to be selected by the user in the GUI based system applying the backpropagation neural network techniques to improve the performance of the overall selection process.
The Applications of Intelligent System Technologies in Service Processes
Authors:   Department of Management Information Systems, Bogazici University, Istanbul, Turkey., Setirek* Abide Coskun , Tanrikulu Zuhal ,   Department of Management Information Systems, Bogazici University, Istanbul, Turkey.
Published: February 2020

Intelligent systems are commonly used to perform routine and complex tasks in various environments and create smart environments. These systems combine artificial intelligence and other advanced analytics techniques like machine learning, natural language processing, etc. with other technologies including the internet of things, cyber-physical systems, cloud computing, augmented reality, virtual reality, blockchain, 3D printing, etc. Nevertheless, fewer studies have been reported about the applications of these technologies in service processes unlike in manufacturing processes. The study aims to investigate the common applications of intelligent systems technologies in service processes regarding views of experts from companies in several service areas. Actual data are collected with the semi-structured interviews with experts for the investigation. Respondents were selected from directors, executives, or managers considering the heterogeneity and whether they can give a relevant response about the applications of intelligent system technologies in service processes. The collected data are thematically analyzed. The data were transcribed, reduced, rearranged under technology and service categories, and synthesized for obtaining the related applications. The study presents the findings of applications of intelligent system technologies under the related service and technology categories. The findings are analyzed, and first, the functions of intelligent system technologies in service processes are described and then, the common and rare service processes where intelligent system technologies are given as a result of the analysis. The results can contribute to literature providing a better understanding of applications of intelligent system technologies in service processes for future studies. In practice, the results can help to service companies that need the applications of these technologies to be able to stay competitive.
Security Issues and Challenges in IoT Routing over Wireless Communication
Authors:   Pursuing Ph.D, Department of Electronics and Communication Engineering, Bhagwant University, Rajasthan, India., Gutta* Saibabu , Jain Anuj ,   Professor, Lovely Professional University, Punjab, India., Sharma V. K. ,   Professor, Department of Electronics & Telecommunication Engineering, Maharashtra Academy of Engineering, Alandi, under Pune University, India.
Published: February 2020

The participation of Internet devices in different communications through embedded technologies and the adaptive and interactive nature of each communication affects future development tools and applications. The majority of IoT devices are able to communicate over a wireless network, improving their usability and scalability quickly. But these usability improvements drew the attackers' attention to their personal advantages and created numerous security challenges for detection and protection. Because devices are exposed to the Internet to deliver services, they are particularly vulnerable to various threats to security and privacy.Therefore, a major concern on the Internet of Things (IoT) is the discovery of such abnormal activities that pose a security threat so that appropriate solutions can be provided with a high level of reliability. This paper will be based on a detailed overview of IoT wireless security issues and abnormal activity detection methods. It also provided an overview of the various anomaly detection models and security challenges for launching the IoT connection to the wireless network.
Image Security using Digital Image Watermarking and Visual Cryptography Techniques
Authors:   Associate Professor, ECE Department, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India., Jagadeesh* B. , Reddy K. L. Sivan Prasad ,   ECE Department, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India.
Published: February 2020

In today’s world, the enhancement in internet technologies, digital data are mostly used to share the information in public networks. There are many traditional security techniques used to provide security to the digital information. But the existing methods don’t provide much of the security to digital media like image, video, audio, etc. The digital watermarking is employed in the protection of digital information. This paper gives a review on digital image watermarking based on the visual cryptography to reach secure protection for the images. The secret information can be inserted in the original images. The secret key is generated from the watermark image with the help of visual cryptography to claim the ownership of images. Various types of Visual Cryptography and Digital Image Watermarking techniques are explained in real time application.