bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Economy: Investing in Digital Learning Technologies
Authors:   Chechen State University, Grozny, Russia., Akhyadov Elman Said-Mokhmadovich , Smirnova Elena Aleksandrovna ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Oshovskaya Nataliya Vladimirovna ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia. Aleksandra Georgiyevna Panova, Russian., Panova Aleksandra Georgiyevna ,   State University of Tourism and Service, Moscow, Russia., Khairullina Dinara Dilshatovna ,   Naberezhnye Chelny Institute, Kazan Federal University, Naberezhnye Chelny, Russia.
Published: November 2019

The current economic terms and conditions stimulate investments in digital transformations. Digital technologies act as drivers, including for education and vocational training. The companies that invest in information technologies for education and HR training realize that investments in HR and the development of skills in education and vocational training are recognized as key factors of the economic growth. This article aims at analyzing the peculiarities of investing in digital learning technologies in the context of the digital economy. In the article the relevance of investing in HR has been substantiated, and the foreign experience of stimulating investments in digital learning technologies has been analyzed. Based on the expert survey, the possibilities of HR digital training have been analyzed, and the peculiarities of various forms of digital training have been defined.
Scrutiny of a RCC Beam by Ansys with Non-Identical Collapsed Mechanisms under Assorted Loading Conditions
Authors:   Assistant Professor, Department of Civil Engineering, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal, (Andhra Pradesh) India., Gopal K. Madhan , Sreenivasulu G. ,   Professor, Department of Civil Engineering, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal, (Andhra Pradesh) India., Sudhakar Sunkesula ,   PG student, Department of Civil Engineering, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal, (Andhra Pradesh) India.
Published: November 2019

Scrutiny of reinforced concrete beam by Ansys with non-identical collapsed mechanisms under assorted conditions. As per is code: IS: 456-2000. to evaluation for finite element examination a beam element various kinds of authors are done their research by using software’s like Ansys, abacus, civil FEM, mat-lab from this one they are studied based on various types of work flows regarding fracture proliferation patterns, in this journal i would like to do numerical examination by FEA software as well as experimental work repercussion analogy from data source. Potential of work is based on the design conditions of design of singly reinforced beam doubly reinforced concrete beam.
Digital Field of Communication of Religious Organizations
Authors:   Department of Sociology, Volgograd State University, Volgograd, Russia., Belikova Ekaterina O. , Dulina Nadezhda V. ,   Department of Sociology, Volgograd State University, Volgograd, Russia.
Published: November 2019

Studies on the interaction of religious organizations and their followers on social networks go back about ten years. Recognition of the crucial role of social networks in the religious life of modern society can be considered a generally accepted position among scholars. However, such interactions on the Russian internet remain poorly understood. The phenomenon of online religion is still not fully open. In modern science, there is a shortage of studies that pay attention to the theoretical and methodological foundations of the classification of religious practices online, taking into account the influence of sociocultural processes occurring in society. The concept of “digital religion” and the attempt to classify it have become the central position of the article. The advantages and the development prospects of the most famous theories of digital religion are demonstrated on basis of their analysis. The article attempts to adapt the concept of the Hjarvard mediatized religion to the Russian model of digital religion.
IoT in Connected Cars: Challenges and Chances
Authors:   Ph.D Scholar, Sathyabama Institute of Science and Technology, Chennai, India., Lakshmipraba Mrs. B. , Sivakumar Dr. V.G. ,   Associate Professor, Department of ECE, Vidhya Jyothi Institute of Technology, Hyderabad, India.
Published: November 2019

With pursuits to furnish secure and satisfied driving, various advanced driver assistance system (ADAS) has been developed over the preceding decades. They offer a broad range of offerings such as anti-lock braking systems (ABS), lane keeping assist (LKA), blind spot facts gadget (BLIS), cruise control (CC), adaptive cruise manage (ACC), etc. Modern vehicles are outfitted with part of sensors device like radar, ultrasonic, photography camera, light detection and ranging (LIDAR), etc., and Global Navigation Satellite System (GNSS) receivers such as a Global Positioning System (GPS) receiver, to support the operation of ADAS. Connecting these systems and competencies to manipulate the actuators of the vehicles, evolves toward automatic using systems, the place vehicles are in a position to navigate themselves besides a human driver concerned. Furthermore, trends in wireless communication allow motors to be connected, both vehicle device -to-vehicle device (V2V) and vehicle unit -to- infrastructure part (V2I). The connections furnish records about the surroundings beyond the vary of sensors. For instance, being aware that the car in front of the previous vehicle is braking at its most power, approves the ego vehicle to begin braking early to avoid or mitigate a severe rear-end collision. Consequently, two linked and automated using standards have been added in the context of cooperative wise transport device (C-ITS). C-ITS includes facts and verbal exchange applied sciences into the transport systems. C-ITS strives for safer, greater efficient, and extra sustainable transport systems. Being related will increase the consciousness of cars about their surroundings. To acquire the dreams and decorate transport systems, interplay and cooperation between actors are key factors. To enable this, dependable communication is required, due to the fact that vehicles riding in automated mode can totally alternate facts with each different via wireless communication. Ultimately, those key elements and reliability extend the complexity of the system, which desires to be tested and evaluated.
Phytochemistry of Leguminous Species
Authors:   Kazakh State Women's Teacher Training University, Almaty, Kazakhstan, Ashirova Zh. B. , Anuarova L. Е. ,   Kazakh State Women's Teacher Training University, Almaty, Kazakhstan, Berik N. Т. ,   Kazakh State Women's Teacher Training University, Almaty, Kazakhstan, Newsome A. S. ,   Mississippi Valley State University, Department of Biology, Itta Bena, United States, Rakhmetova A. M. ,   Karaganda State University named after the academician E.A. Buketov, Kazakhstan, Karaganda, Yessenbekova A. Y. ,   Al-Farabi Kazakh national university, Almaty, Kazakhstan, Abdrassulova Zh. T. ,   Al-Farabi Kazakh national university, Almaty, Kazakhstan, Aimagambetova K. ,   Kazakh State Women's Teacher Training University, Almaty, Kazakhstan
Published: November 2019

The paper considers the legume family at Kapchagay Reservoir, including camel thorn (Alhagi pseudalhagi (M. B.) Desv.), silver sand acacia (Ammodendron argenteum (Pall.) O. Ktze.), salt tree (Halimodendron halodendron (Pall.) Voss.), the vegetative organs, flowers and fruits of the plants. The dosage forms of these plants and their importance are identified. As a result of the phytochemical study, it has been found that the species in the herbaceous family are similar to the phytochemical composition of camel thorn and salt tree.
Mobility Aware Weighted Clustering Algorithm for Maximizing IOT Network Lifetime by Harnessing Routing Energy
Authors:   Dept. of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, India., N N Srinidhi , Kumar S M Dilip ,   Dept. of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, India., J Shreyas ,   Dept. of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, India.
Published: November 2019

The Internet of Things (IoT) is considered as evolved form of Internet in the present scenario. Due to the prediction that large amount of data could be generated by billions of devices connecting to the Internet, requires data to be routed and processed rapidly by harnessing IoT devices energy. Energy constraint IoT devices consume more energy due to mobility of nodes and results in minimizing network lifetime. Motivated by this challenge, mobility aware weighted clustering algorithm (MAWCA) for maximizing IoT network lifetime by harnessing routing energy is proposed to find the optimal cluster head (CH) for mobile nodes in the IoT network. MAWCA considers degree difference of the node, sum of differences between neighbors, cumulative time, nodes mobility and delay in choosing a CH as weighting factor during CH election process. Simulation results shows that the proposed MAWCA outperforms in respect to network energy, delivery ratio, alive nodes count, packet loss ratio and network lifetime in par with similar existing algorithm. The uniqueness of the paper lies in selecting potential cluster head to maximize IoT network lifetime.
Classification and Enrichment of Unlabeled Feedback Data using Machine Learning
Authors:   Associate Professor, JNTUHCEH. Kukatpally, Hyderabad, India., Kiran B. Kranthi , Pulicherla Padmaja ,   Professor, Department of CSE, Teegala Krishna Reddy Engineering College, Hyderabad, India.
Published: November 2019

These days’ data gathered is unstructured. It is becoming very hard to have labelled data gathered, due to the volume of the data being generated every second. It is almost impossible to train a model on the unstructured/unlabelled data. The unlabelled data will be divided into groups using the ML techniques and CNN/Deep learning/Machine Learning techniques will be trained using the grouped data generated. The model will be enhanced over time by the feedback given by the users and with addition of new data as well. Existing models can be trained over labelled data only. Without labelled data models cannot be used for prediction and reinforcement learning. In this approach though the data is unlabelled if a feature column is specified we will be able to train the model with the help of SME. This will be helpful in many areas of classification and prediction of the trends and patterns. Machine learning, Deep learning techniques (Supervised) will be used to implement the data. Tools used will be Python, PyTorch and TensorFlow. Input can be any data (Audio/Video/pictographic/text). Labelled data and a model file which could be used for further predictions, and which will be improved over feedback.
Effect of Technical Domains and Patent Structure on Patent Information Retrieval
Authors:   Symbiosis Centre for Research and Innovation, Symbiosis International University, Pune, India., Khode Alok , Jambhorkar Dr. Sagar ,   Department of Computer Science, National Defense Academy, Pune, India.
Published: November 2019

Patents are critical intellectual assets for any competitive business. With ever increasing patent filings, effective patent prior art search has become an inevitably important task in patent retrieval which is a subfield of information retrieval (IR). The goal of the prior art search is to find and rank documents related to a query patent. Query formulation is a key step in prior art search in which patent structure is exploited to generate queries using various fields available in patent text. As patent encodes multiple technical domains, this work argues that technical domains and patent structure have their combined effect on the effectiveness of patent retrieval. The study uses international patent classification codes (IPC) to categorize query patents in eight technical domains and also explores eighteen different combination of patent fields to generate search queries. A total of 144 extensive retrieval experiments have been carried out using BM25 ranking algorithm. Retrieval performance is evaluated in terms of recall score of top 1000 records. Empirical results support our assumption. A two-way analysis of variance is also conducted to validate the hypotheses. The findings of this work may be helpful for patent information retrieval professionals to develop domain specific patent retrieval systems exploiting the patent structure.
3D Stereoscopy Video Production: Z-Depth Extraction and Optimized Rendering using Foundry Nuke
Authors:   Assistant Professor, Department of Computer Science, Institute of Science, Banaras Hindu University, Uttar Pradesh, India., Kumar Abhishek , Singhal Achintya ,   Associate Professor, Department of Computer Science, Institute of Science, Banaras Hindu University, Uttar Pradesh, India., Sheetlani Jitendra ,   Dean, School of Computer Application, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Madhya Pradesh, India.
Published: November 2019

This paper proposed an effective and efficient 3D stereo Video production methodology for Stereo conversion of any image or video using the 3D compositing tool Foundry Nuke. For efficient S3D conversion, there are several pipelines uses by video production engineer into the industry. There are several technical issues during the 3D stereo production like spilling, reflection, translucency, occlusion, flickering and noise problems as well due to imperfect calibration. This paper presents a theoretical explanation of the principles of stereo vision systems, followed by a quick review of the state of the art. The research paper concludes with validating the assumption of 3D stereoscopy video conversion with film case studies to execute high-end 3d stereo video production quality with roto-based depth map extraction with optimized render conversion methodology.
Adaptive System to Improve Decision Making for Protecting Data Conveyed over WLAN
Authors:   Information and Communication Dept. Al Nahrain University, Baghdad, Iraq., Radhi Abdulkareem Merhej
Published: November 2019

In the past two decades, the rapid growth of demand for wireless data communications has become evident due to the unreliability of wired data communications, which has become inadequate due to high costs and management monitoring of its security problems. Furthermore, such data may be intercepted when transmitted via wire connections with a negative attack and its contents changed with illegal modification. Therefore, due to these circumstances, there is an urgent need to protect data and achieve a wireless local area network (WLAN) for transmission. Data protection is therefore required through the design and implementation of a rigid algorithm that reduces the risk of hacking into wireless networks and prevents hackers from finding inevitable vulnerabilities in the data protection system. This research paper introduces a new technology to protect data from potential risks and provides a new “type” of encryption algorithms that minimizes these risks. This technology relies on the adoption of renewable rules proposed as production bases based on ambiguous logic to accomplish the construction of an intelligent data analysis system and move forward with appropriate protection decisions. The targeted packets for the local area network were captured and analyzed using open source software “WIRESHARK”. Unsupervised learning classifier was used to monitor the network and detect the malicious intruders. The flow data have been collected and features are extracted and analyzed to examine the transmitted packets which were classified and ranked to have a specific cluster. Minimizing and comprising risk taking in consideration the imprecise data which was achieved via fuzzy rules. The results were discussed and concluded that potential risks could be minimized by the production rules that control the proposed data for the transferred encryption system. MATLAB 2014 toolkit based on a laptop with an Intel I3 processor and 4GB RAM was used.
An Analytical Report on Measuring the Level of Stress & Anxiety among College Level Students
Authors:   Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India., Chaudhary Deepika , Bali Nishu ,   Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India.., Bhavra Amandeep ,   Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India., Singh Jaiteg ,   Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India.
Published: November 2019

There are few scenarios in one’s life when we feel that “my life is out of Control”. These feelings are at the extreme when we are a student especially a college level. A college level student is forced to decide the course of their life and career during their stay at campus. Therefore they are left battling with so many emotional, career and social feelings which unknowingly pushes the student towards adverse situations. These mixed feeling and situations are a main reason behind stress and anxiety among students. In order to identify the factors which are associated with the level of stress especially among students a study (Online Survey) was conducted among various college level students studying in the geographical area of Punjab (Banur). In this study a few factors have been highlighted which although are very insignificant but can be a major cause behind creation of feelings which leads to stress and anxiety. Four categories of academic stressor (i.e. personal frustration, learning hours, financial issues, and health related issues) and four categories describing reactions to these stressors (i.e. Behavioral, Psychological, Social and Cognitive effects) were examined. The online survey sample consisted of 158 students studying in four different colleges falling in the geographical area of Punjab region. The findings emphasized on various factors like pressure of studies, poor knowledge on how to live a balanced life etc. The findings of this study can further be used by various researchers and motivational speakers who are working on designing of certain program along with workshops on how to live a balanced life which is healthy, happy and successful.
Emission of Carbon Dioxide from the Dark Chestnut Soil in West Kazakhstan
Authors:   Makhambet Utemisov West Kazakhstan State University, Uralsk, Kazakhstan., Sergaliev Nurlan , Nagiyeva Aliya ,   Zhangir khan West Kazakhstan Agrarian-Technical University, Uralsk, Kazakhstan., Tlepov Anvar ,   Zhangir khan West Kazakhstan Agrarian-Technical University, Uralsk, Kazakhstan., Zhiengaliyev Artur ,   Zhangir khan West Kazakhstan AgrarianTechnical University, Uralsk, Kazakhstan.
Published: November 2019

The necessity of studying and assessing emissions of carbon dioxide from the agricultural soils is related to the important role played by the soil in their formation. Active release of carbon dioxide shows changes in the content of the organic matter in the soil and its biological activity. Carbon dioxide emissions can be influenced both by biotic and anthropogenic factors. Due to the negative effect of grazing and arable plots on the soil respiration, unequal emission of carbon dioxide is noted. The research was aimed at assessing the dynamics of carbon dioxide emissions from the dark-chestnut soil, depending on the nature of the soil use in agriculture. The studies for determining the carbon dioxide flow rate were performed according to the standard variant of the closed dynamic chamber method. The results of studying the content and emission of carbon dioxide from the dark-chestnut soil of the agricultural lands in Western Kazakhstan are shown. The content and reserves of humus in the 100 cm layer of the studied soils are low, and the soil is characterized by low humus content. The total annual flow of carbon dioxide from the virgin lands is higher than that from the arable lands but is less than that from the pastures.
A Railway Scheduling Method using Probabilistic Model Checking
Authors:   Department of Computer science, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran., Mohagheghi Mohammadsadegh , Khademi Anahita ,   Department of Computer science, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran.
Published: November 2019

Trains scheduling is an important problem in railway transportation. Many companies use fixed train timetabling to handle this problem. Train delays can affect the pre-defined timetables and postpone destination arrival times. Besides, delay propagation may affect other trains and degrade the performance of a railway network. An optimal timetable minimizes the total propagated delays in a network. In this paper, we propose a new approach to compute the expected propagated delays in a railway network. As the main contribution of the work, we use Discrete-time Markov chains to model a railway network with a fixed timetable and use probabilistic model checking to approximate the expected delays and the probability of reaching destinations with a desired delay. We use PRISM model checker to apply our approach for analyzing the impact of different train scheduling in double line tracks.
An Innovative Methodology for Fusing Multifocus Images using Content Adaptive Blurring and Stationary Wavelet Transform
Authors:   Department of, Electronics and Communication, Sikha ‘O’ Anusandhan Deemed University, Bhubaneswar, India., Sahoo Tapasmini , Das Kunal Kumar ,   Department of, Electronics and Communication, Sikha ‘O’ Anusandhan Deemed University, Bhunaneswar, India.
Published: November 2019

This paper depicts a stationary wavelet transformation based image fusion technique in association with content adaptive blurring. The fusion technique combines several images of the same sight or object with diverse resolution, intensity to get a combined image with more suitability for extracting features which is difficult to find from an image in various modalities. The performance and relative importance of the proposed fusion technique is investigated by some statistical evaluation measures. The values of the statistical measure suggests that the execution of the proposed strategy is appreciable. All the test and analysis compared with the different methods yields that the suggested fusion methodology successfully manages to retain the maximum content of the visual truth.
Influence of Cutting Parameters and Tool Path Strategies on Surface Roughness in Pocket Milling of UNS A96082 Alloy
Authors:   Asst. Professor, Department of Mechanical Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India,, Rajyalakshmi M. , Babu P. Suresh ,   Professor, AAR Mahaveer Engineering College, Hyderabad, Telangana, India.
Published: November 2019

CNC Pocket Milling is the commonly employed machining process in molding, aircraft building, and shipbuilding industries. Surface integrity is one of the main quality parameters considered to accept the component. In the present work, an attempt is made to optimize the cutting factors in pocket milling of UNS A96082 using two different tool path strategies to get a better surface finish. Speed, Feed and Step over are considered as influencing parameters in the present study for measuring surface roughness. Taguchi experimental design method is employed to conduct experiments and to optimize the cutting parameters. It is observed that the results obtained from confirmation experiments also show nearer value for predicted surface roughness
Homology Modeling and Characterization of Novel Stress Inducing Genes and their Split Sites Recognition in the Genome of Zebra Fish (Danio Rario) by Employing Special Consensus Pattern Matching Algorithms- using an in-Silico Method
Authors:   Asst. Professor, Department of Zoology, Osmania University, Telangana., Rao Dr.J.Venkateshwara
Published: November 2019

Zebra fish has long been considered to be as a strong animal model in biology and modern genetics; however now a days its gaining lot of importance in environmental studies as well. The readily availability of entire genome sequences made to permit carrying out in silico studies at Genomic level. As everyone is known that stress is much more complex and complicated process that involves so much of gene regulations known as up regulation and down regulation, the corresponding stress proteins, broadly known as heat shock proteins. In the current study, the potential transcription factor binding sites were traced out by using bioinformatics tools and about 50 heat shock protein genes were predicted by using special alogorithms using pattern matching and position weight matrices. The 3D structure of DNA-binding domain of HSTF-1 ( Heat Shock Transcription factor-1) which is crucial for regulating heat shot proteins was traced out and builted by using homology modelling methods. The 3D structure of the heat shock transcription factor-1 and together with predicted transcription factor binding sites may be validated in future experimental works which would help us in understanding the complex responsive stress mechanisms lying in Zebra fish.
Design Optimization of an Automotive Component in Product Development
Authors:   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, India., K Venkataraman , B Vijayaramnath ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, India.
Published: November 2019

This paper will briefly explain the engineer’s approach to optimize the conservative design of parabolic Leaf Spring in various steps. The Hybrid Design methodology and technique is employed for Size. Shape and weight Optimization by means of Parametric Modeling and Optimization-Simulated annealing algorithm. Various designs have been created, analyzed and its Maximum deflection and stress is compared with the material’s yield strength.
Effect of Iron Chloride on the Strength Behaviour of the Expansive Clay
Authors:   Assistant Professor of Civil Engineering, S. R. K. R. Engineering College, Bhimavaram, AP , India., Raju G. L. V. Krishnam
Published: November 2019

From the fast few decades, several techniques were introduced inorder to modify the behaviour of expansive clays. The use of strong electrolytes like calcium chloride (CaCl2), aluminum trichloride (AlCl3) and iron chloride (FeCl3) were extensively used in various civil engineering applications. Expansive soils possesses alternate shrinkage and swelling with the removal and addition of water from it. Iron chloride was effectively used to alter the swelling and shrinkage and also improve the engineering behaviour of expansive clays. Therefore, in the current work an effort is made for study the influence of iron chloride (FeCl3) on the strength behaviour of the expansive soil. The outcomes from the laboratory investigation proved that the usage of iron chloride (FeCl3) produce reduction in swelling and improvement in the strength. It was found that 1% FeCl3 be the optimum for both the UCS and CBR. Hence, from the investigation it was showed that iron chloride is a valuable stabilizer to enhance the properties of black cotton soil and to create it apt for various applications of Civil Engineering.
Load Current Observer and Adaptive Voltage Controller for Standalone Wind Energy System with Linear and Non-linear Loads
Authors:   EEE Department, S R Engineering College, Warangal, India, Rajababu* D. , Ram Dr. K. Raghu ,   EEE Department, Laqshya Institute of Technology and Sciences, Khammam, India.
Published: November 2019

The Wind Energy Conversion System (WECS) is one of the most important renewable energy systems in the existing power network, which can be operated in either grid connected or standalone mode. In the standalone WECS, voltage and frequency variations are more due to the wind speed variations, load changes and switching surges. In this paper, space vector pulse width modulation based adaptive voltage controller with load current observer is used to control the voltage and frequency, for the standalone or isolated WECS. The isolated system is simulated using MATLAB/Simulink and the results are analysed when three-phase non-linear and linear (Resistive and Inductive) balanced and unbalanced loads are connected.
CMFD using a Novel Localisation Technique and CNN based Classification
Authors:   Assistant Professor, Department of Information Technology ,Delhi Technological University,(formerly Delhi College of Engineering), Delhi India., Agarwal Ritu
Published: November 2019

Latest trends of the image processing software, the growth of image manipulation is at peak. To detect the use of such software on an image is a growing research anomaly. This paper proposes a novel copy-move forgery localization approach in an image through a blind approach with no prior information available to the algorithm. Here, we have split the image into equal size blocks and extracted SIFT features for every block. The center of mass for each block is calculated after applying the Gaussian filter. Finally, image features are matched based on the KNN algorithm for CMF localization. However, for classification, the localisation mask is created for the dataset, and is used to train a Convolutional neural networks(CNN) and this trained CNN in turn is used for classification of images as authentic or tampered.
Secure Ranked Multi-Keyword Search based on Modified Blowfish Algorithm and AVL Tree in Untrusted Cloud Environment
Authors:   Dept. of Computer Science, Assam University, Silchar, India., Swami Rosy , Das Prodipto ,   Dept. of Computer Science, Assam University, Silchar, India.
Published: November 2019

Advancement in cloud services growing day by day motivates a huge number of data proprietors to store their valuable data in cloud servers. For privacy issue, datasets that contain sensitive information are encrypted first and then outsourced into the cloud server. In this paper, ranked multi keyword search based on AVL tree, especially for several data owners, has been proposed. To avoid unauthorized access, the proposed work encrypts the data using a Modified Blowfish (MB) algorithm before outsourcing. MB algorithm introduces # operation instead of normal OR operation in conventional blowfish algorithm. This MB algorithm provides robustness against any intruding whereas the conventional blowfish algorithm insecure for many applications. To achieve a proficient search, every data owner’s index based on AVL tree is encrypted by way of additive order and the privacy-preserving family is formed. The cloud server is then permitted to combine these indexes effectually without knowing the index content. An Iterative Deepening Depth First Search (IDDFS) procedure is used to discover the matching file for the data user request. Finally, our proposed work provides secure data outsourcing to cloud server compared to the other existing methods. The proposed work considers three metrics for the performance evaluation process, viz. precision, index construction time and search time.
Fault Model for UML Behavioral Activity and Sequence D iagrams
Authors:   CSE Department, Amity University Haryana, Gurugram, India., Gupta* Rashmi , Jaglan Vivek ,   CSE department, Amity University Haryana, Gurugram, India., Kaswan Kuldeep Singh ,   CSE, Galgotia University, Greater Noida, U.P., India,
Published: November 2019

In software testing, the fault detection in any software construct is very important factor to check how efficiently testing process is carried out. While testing software, it is required to take some coverage criteria to check the testing methodology. The paper shows a way for fault detection for UML behavioral diagrams. Different types of faults which can occur in UML diagrams are discussed and a fault model is proposed for combinational diagram made by integrating UML behavioral diagram such as activity and sequence diagrams. The percentage of fault detected in software is calculated using fault model and to prove how efficient is the software testing process.
Supply Chain Performance Evaluation Models, State-of-the-Art and Future Directions
Authors:   Professor in School of Textile and Clothing Industries, Morocco., Fri Mouhsene , Fedouaki Faycal ,   Associate Professor in the Department of Industrial Engineering, Higher National School of Arts and Crafts, at Hassan University Settat, Morocco., Douaioui Kaoutar ,   Member in the in Laboratory of Engineering, Industrial Management and Innovation, Hassan University Settat, Morocco., Mabrouki Charif ,   Professor and Researcher of logistics Engineering and Transportation at Hassan University Settat, Morocco., Semma El Alami ,   Professor and Researcher at Hassan University Settat, Morocco.
Published: November 2019

Continuous improvement in supply chain performance creates value not only for businesses, but also for customers and suppliers who interact in different levels. Given the criticality of supply chain management, companies use different maturity models to measure their performance. Currently, there are many performance evaluations models and the choice of the appropriate model for the company depends on several criteria. This work presents a review of all supply chain performance evaluation models and highlights the characteristics and constraints of the implementation of each supply chain performance evaluation models. This work will provide a good guideline to managers to choose the appropriate model for their organization.
Performance Measure of Project Management Automation Tool based on DevOps Selection Criteria for a General Purpose Software System
Authors:   Assistant Professor, Department of Computer Science and Applications, MDU, Rohtak, Haryana, India., Mittal Pooja , Poonam  ,   Research Scholar, Department of Computer Science and Applications, MDU, Rohtak, Haryana, India.
Published: November 2019

DevOps, a cluster of tools to automate the tasks of building, testing and releasing the software, intends to optimize the end to end delivery lifecycle of software by eliminating the bottlenecks of each and every stage of development. This research paper presents the performance measure of different tools in the project planning and management phase of software development. Diverse tools exist for each and every phase of the development and depending on the outcome of the evaluation or selection criteria, tool with highest score is being chosen. This paper measures the performance of alternative project management tools viz. Jira, Trello, Leankit, Agile Craft based on these evaluation or selection criteria. To execute the underlying research work, a six-point scaling table is defined. The table measures the performance of project management automation tools and realizing their competence level score. This performance measure or the outcome as competence level score will be useful for the researchers or software developers to contemplate the best project management automation tool typically before making a decision about tool selection.
Secured Video Transmission Using Encryption by MD5
Authors:   Department of Computer Science, Vivekanandha College of Arts and Sciences for Women, Tiruchengode, (Tamil Nadu), India., Menaka G. , Rajendran Prof. Dr. N. ,   Department of Computer Science, Vivekanandha Arts and Science College for Women, Sankari, (Tamil Nadu), India.
Published: November 2019

Advances in computerized substance transmission have expanded in the previous couple of years. Be that as it may, Security and protection issues of the transmitted information have turned into an imperative worry in mixed media innovation. The paper displays a computationally capable and secure video encryption approach with usage of appropriated and parallel condition. The paper expects to make secure video encryption practical for constant applications with no additional committed equipment at recipient side. Verifying is a major testing assignment especially with respect to affirmation of privacy, confirmation and uprightness. Writing indicates utilization of cryptography and steganography to verify distinctive types of computerized information. The wide utilization of correspondence utilizing Internet has encouraged sharing of content as well as sound and video posts in a less difficult way. A standard encryption calculation is particularly material for content and twofold information yet neglects to deal with voluminous video information. An endeavor has been made in the paper to verify recordings utilizing keyed hash calculations. Experimentation unmistakably uncovered the advantages of the proposed plan regarding guaranteeing trustworthiness and realness without trade off in nature of the video.
Common Mode Voltage Removal using New Balancing Technique for Extraction of Low Level Differential Signals Embedded in Large Common Mode Voltages
Authors:   Instrumentation Department, V.E.S.Institute of Technology, Mumbai, India., Warke Nilima , Nair J. M. ,   Instrumentation Department, V.E.S.Institute of Technology, Mumbai, India., Vaidya P. P. ,   Instrumentation Department, V.E.S.Institute of Technology, Mumbai, India.
Published: November 2019

The paper proposes a method based on new principle for removal of common mode voltages (CMVs) present in the differential signals #. These CMVs can be reduced nearly to zero without using any components with tight tolerances which is achieved using a new balancing technique. It is proved that the performance of the circuit depends only on the ratios and not on the individual values of the resistors because of which the performance of the circuit is not affected over the wide range of temperature. The circuit based on this principle was designed, constructed, tested and results are reported in this paper. Unlike the conventional techniques which use filters for removal of the common mode signals in specific band of the frequencies, the method reported here removes common mode signals of all known and unknown frequencies. Using this method, it is possible to extract very low values of the differential signals in the range of few microvolts where common mode voltages can be as high as few volts. It is possible to improve the effective common mode rejection ratio (CMRR) of any differential amplifier by a factor of more than 103 to 104 with this method.
Augmentation of the Thermal Efficiency of PTC using CeO2 Nanofluid
Authors:   Asst. Professor, GLA University, Mathura (U.P.), India., Bharadwaj Gaurav , Sharma Avdhesh ,   Asst. Professor in GLA University, Mathura (U.P.), India., Dwivedi V.K. ,   Asso. Professor, GLA University, Mathura, (U.P), India.
Published: November 2019

In the current scenario, experts largely focused on mi niaturizing devices and energy efficiency during the development of solar system. In the present study, nanofluid is used as a working fluid to see its effect on the thermal performance of PTC. The Thermal analysis of PTC heating water using CeO2 nanofluids as a working fluid is presented. The experimentation were carried out using cerium oxide nanofluid, water and synthetic oil The result shows hat CeO2 nanofluid can be a good choice as a working fluid for smooth flow condition to use in PTC rather than water or any other synthetic oil. Experiment result shows, CeO2 – water can increase thermal efficiency by 2.66 times w.r.t water and 1.7 times w.r.t. synthetic oil.
Lithium-Ion Batteries with Forced Air Cooling: Simulation and Laboratory Tests
Authors:   Moscow Polytechnic University, Moscow, Russia., Ivanov* Denis Alekseevich , Velikoretskiy Alexander Alexandrovich ,   Moscow Polytechnic University, Moscow, Russia., Nekrasov Alexander Sergeevich ,   Moscow Polytechnic University, Moscow, Russia., Papkin Igor Arkadyevich ,   Moscow Polytechnic University, Moscow, Russia.
Published: November 2019

Sales and total population of electric vehicles are continuously increasing. Their production and maintenance should be supported by high amount of powerful and reliable battery cells. Various lithium-ion batteries comprise the major part of battery units for vehicles. This article is devoted to development of forced air cooling of battery module for hybrid tractor unit. Cooling of overall module has been significantly improved and temperature fields in all cells have been equalized by means of mathematical simulation. The model adequacy has been verified by laboratory tests of battery module of modified design. Temperature drop between single cells has been decreased more than by four times which reduces significantly probability of local overheating and thermal runaway. In the future the developed battery modules will be used in field tests of tractor unit with hybrid power unit.
Combining PI Sigma Neural Network with Multiple Offspring Genetic Algorithm for Stock Market Price Prediction
Authors:   Computer Science Department, Siksha O Anusandhan Deemed to be University,Bhubaneswar, India., Sahoo* Sipra , Mohanty Saroj Kumar ,   Computer Science and Engineering department, Trident Academy of Technology, Bhubaneswar,India., Pradhan Sateesh Kumar ,   Computer Application department,Utkal University, Bhubaneswar, India.
Published: November 2019

Accurate and precise prediction of pricing of stock market is a very demanding task because of volatile, chaotic nature of time series data. Artificial Neural Networks played a major role for solving diversified problems for its robustness, strong capability for solving non linear problems and generalization ability. It is a popular choice for researchers for foretelling the financial time series data. In the article Pi Sigma Neural Network (PSNN) is developed for foretelling of stock market pricing in different time horizons. Pricing of stock market is predicted for one, fifteen and thirty days in advance. The parameters of the network are interpreted and optimized by Multiple Offspring Genetic Algorithm (MOGA). The motivation of this study is to achieve global optima with faster convergence rate. Bombay stock Exchange (BSE) data set is used for implementing the proposed model. Performance of the proposed model is evaluated using metrics like Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Median Average Error (MedAE) . The results are compared with Pi Sigma Neural Network with Genetic Algorithm (PSNN-GA) and Pi Sigma Neural Network with Differential Evolution (PSNN-DE). It is concluded that the proposed model outperforms PSNN-GA and PSNN-DE models.
T he Causality of Deviation from t he Optimal Parameters of a Regional Demographic System
Authors:   Almetyevsk branch of the Federal State Budgetary Educational Institution of Higher Education “Kazan National Research Technical University named after A.N. Tupolev-KAI”, Almetyevsk, Russia., Kabitova Evgeniya Vladimirovna , Yudina Svetlana Valentinovna ,   Almetyevsk branch of the Federal State Budgetary Educational Institution of Higher Education “Kazan National Research Technical University named after A.N. Tupolev-KAI”, Almetyevsk, Russia., Ashirova Svetlana Anatolyevna ,   Almetyevsk branch of the Federal State Budgetary Educational Institution of Higher Education “Kazan National Research Technical University named after A.N. Tupolev-KAI”, Almetyevsk, Russia.
Published: November 2019

This study is based on the identification of causal relationships that determine the current trends in the demographic system of the regions of the Russian Federation. The achievement of optimal parameters of the demographic system is a factor in the implementation of the principle of sustainable development of territories. Demographic behavior is explained from the perspective of an institutional approach and is defined as a reaction and adaptation to changes in the institutional environment. From the standpoint of determinism, the response of the demographic system can be defined as a consequence and causality as the influence of the institutional environment. An attempt to formalize conclusions about the influence of the institutional environment on the demographic parameters of the territory and the application of mathematical research methods have allowed the authors to conclude that the economic well-being of the population was the dominant factor in the increase of the birth rate.
Assessing Network Parameters by Web Real time Communications
Authors:   Professor, Dept. of CSE, Teegala Krishna Reddy Engineering College, Hyderabad, N* Dr.Vadivelan. , P Ashwini. ,   Professor, Dept. of CSE, Teegala Krishna Reddy Engineering College, Hyderabad, P Jyothi. ,   Professor, Dept. of CSE, Teegala Krishna Reddy Engineering College, Hyderabad
Published: November 2019

In the context of networks where assurance of information delivery is a prime user requirement, it becomes essential to estimate the key performance indicators and carry out a proactive analysis to ascertain if the current network conditions would meet the Quality of Service requirement of particular service. In this project the key is to carry out a QoS aware transmission of Voice, Video and Data over an IP network for ensuring delivery assurance with requisite service specific QoS. An integrate GUI to be deployed at both the sender and the receiver will be developed and this will act as first front end for the transmission and the measurements. An ‘active and collaborative tool based or a passive tool based approach’ will be used for measurement of network KPI whereas ‘COTS (Commercial off the shelf)/FOSS (Free and Open source)/freely downloadable or a custom developed utility/tools’ would be used for generation of traffic.
Information Security through Image Steganography
Authors:   UG Scholar, DAV Institute of Engineering & Technology, Jalandhar, India, Chopra* Vimanyu , Priyadarshi Devinder ,   Faculty, DAV Institute of Engineering & Technology, Jalandhar, India.
Published: November 2019

Information security is an arduous task these days especially due to advancement in technology. Sending or receiving confidential information in an undetected form has been a major challenge. Steganography is the art or process of concealing information inside a text, audio or image file. The process of embedding information inside an image is known as Image steganography. The objective unlike cryptography is not to make the information difficult to understand but to hide it in plain sight. The concealed information is harder to detect and is only detected only by the receiver who is aware of its existence. Image Steganography is used to secure private files and documents, hide passwords and encryption keys as well as to transport highly confidential documents between international governments and organizations without revealing the existence of the hidden message. This also makes it essential in military and banking field for secure communication of information. This provides better security to the information being shared. This paper discusses history, techniques, applications, benefits and shortcomings of Image steganography. Further a discussion on the challenges and the future direction and trends of image steganography are also presented.