bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep Learning Feature Extraction using Pre-Trained Alex Net Model for Indian Sign Language Recognition
Authors:   Ph.D Scholar, Faculty of Computer Engg. , Pacific Academy of Higher Education and Research University, Udaipur, Rajasthan, India., Dangarwala Kruti , Hiran Dr. Dilendra ,   Principal, Faculty of Computer Application, Pacific Academy of Higher Education and Research University, Udaipur, Rajasthan, India.
Published: August 2019

Indian sign language is communicating language among deaf and dumb people of India. Hand gestures are broadly used as communication gestures among various forms of gesture. The real time classification of different signs is a challenging task due to the variation in shape and position of hands as well as due to the variation in the background which varies from person to person. There seems to be no availability of datasets resembling to Indian signs which poses a problem to the researcher. To address this problem, we design our own dataset which is formed by incorporating 1000 signs for the sign digits from 1 to 10 from 100 different people with varying backgrounds conditions by changing colour, and light illumination situations. The dataset comprises of the signs from left handed as well as right handed people. Feature extraction methodologies are studied and applied to recognition of Sign language. This paper focuses on deep learning CNN (convolution neural network) approach with pretrained model Alexnet for calculation of feature vector. Multiple SVM (Support Vector Machine) is applied to classify Indian sign language in real time surroundings. This paper also shows the comparative analysis between Deep learning feature extraction method with histogram of gradient, bag of feature and Speed up robust feature extraction method. The experimental results shown that Deep learning feature extraction using pretrained Alexnet model give accuracy of around 85% and above for the recognition of signed digit with the use of 60% training set and 40% testing set.
SDN Based Data Offloading and Load Balancing Techniques for Applications in 5G
Authors:   School of Computing & Information Technology, REVA University, Bangalore, India., V Shilpa , Ranjan Rajeev ,   School of Computer Science and Applications, REVA University, Bangalore, India.
Published: August 2019

a huge development of wireless users traffic and the deficiency of accessible resources has led to new difficulties for future cell systems. Nowadays our network needs to deal with extensive measure of traffic and serve a large number of customers. It is exceptionally difficult for a solitary server to deal with such tremendous burden. Since, the architecture of 5G is highly advanced by using SDN and NFV, its network elements and various terminals are characteristically upgraded to afford a new solution for these traffic issue. In this paper we proposes a data offloading algorithm by forwarding the traffic between cellular network, femtocell and Wi-Fi network in order to reduce the overall burden on cellular network. We also proposes a load balancing technique which will manages the available network resources between the incoming user requests and existing users. The proposed traffic offloading algorithm uses an SDN controller for i) making the decisions of forwarding data between femtocell network, Wi-Fi and cellular network. ii) it also uses controller for taking the decisions in balancing the load of users with the existing the resources.
Detection and Prevention of DoS Attacks in VANET with RSU’s Cooperative Message Temporal Signature
Authors:   Research Scholar, School of Computer Science & Applications, REVA University, Bengaluru, Kabbur Mr. Mahabaleshwar , Kumar Dr. V. Arul ,   Assistant Professor, School of Computer Science & Applications, REVA University, Bengaluru
Published: August 2019

Vehicular Ad Hoc Networks (VANETs) is an emerging wireless data communication technology in computer network, which communicates dynamically to exchange and share real time information between vehicles on roads. This network architecture considers vehicles as nodes and information as packets for communication. Vehicles create an autonomous network with assistance of RSU (Road Side Units). This technology supports real time alert systems to broadcast emergency messages to the police, ambulance and drivers of the vehicles in some unexpected situations like traffic emergency, accident, road conditions, vehicle tracking, whether conditions and message monitoring. Since these nodes operate in a physically insecure environment in the range of 100 to 300 meters circumference. Security is a challenging issue for the technology to provide secured prominent approach for routing. Like other networks VANET network is also prone to various attacks. Timing and DoS is done by capturing the messages in VANET and replaying them at later point of time in bulk, such that RSU and vehicle resources are wasted in processing those messages. We need to have a technology by virtue of which network nodes (vehicles) should be smart enough to manage road safety at their own. In this paper RSU assisted DoS attack detection and prevention technique is proposed for VANET. The proposed method is based on RSU message temporal signature with detection and prevention, build over the RSU message attestation technique.
Optimal Biclustering using Hybrid Swarm Intelligence for Web usage Mining
Authors:   School of Computer Science and Applications, REVA University, Bangalore, India., Kavitha
Published: August 2019

Web usage mining is used to analyze the user browsing behavior among the web pages which can be further utilized in other applications like recommender system, personalized web pages, providing insight for better business functionality. Since this type of mining does not only depends on the user or web pages, conventional clustering techniques may not suit very well for the analysis. Biclustering techniques are used to discover the subset in the form of submatrices as objects and attributes of objects are considered symmetrically. Finding optimal biclusters is a critical research issue. This research proposes a hybrid swarm intelligence-based method having Particle Swarm Optimization combined with Leader Clustering method along with Uniform Crossover operator. The experimental study shows that the proposed method performs well than traditional biclustering techniques in terms of evaluation metrics.
Neural Computation based General Disease Prediction Model
Authors:   Department of Computer Science Engineering, Sathyabama Institute of Science and technology, Chennai- Tamilnadu India., Mary S.Prince , Bharathi B. ,   Department of Computer Science Engineering, Sathyabama Institute of Science and technology, Chennai- Tamilnadu India.., Vigneshwari S. ,   Department of Computer Science Engineering, Sathyabama Institute of Science and technology, Chennai- Tamilnadu India, Sathyabama R. ,   Department of Computer Science Engineering, Sathyabama Institute of Science and technology, Chennai- Tamilnadu India
Published: August 2019

To predict the patient disease using soft computing technique is the primary motto of the disease prediction system. Currently, researchers are trying to develop a disease prediction system using pattern mining technique. Here, a technique for disease prediction system using genetic algorithm and artificial neural network is proposed. The genetic algorithm is used for mining the most occurrences of disease sequences rules. To form the disease prediction system, the best rule which is obtained by means of genetic algorithm is used. Artificial neural network is trained to predict the disease. Accuracy of disease prediction is compared with other prediction techniques.
Pseudonym-Based Privacy Preserving Framework for Facilitating Cloud Data Security
Authors:   Research Scholar, Bharathiyar University, Coimbatore,Tamilnadu, India., Rosy Premila
Published: August 2019

The advent of cloud computing has revolutionized the option of sharing cloud resources among the cloud users for minimizing the cost overhead. But, the cloud data security is considered as the predominant issue that need to be addressed through the implementation of privacy preserving approaches that sustains and prevents the cloud resources and users from being compromised by the malicious intruders. In this paper, a Pseudonym-based Privacy Preservation Framework (PBPRF) is proposed for understanding its potential towards the accuracy and privacy preservation of cloud data based on the concept of P-Gene. This proposed PBPRF incorporates the benefits of the P-Gene which is responsible in the cloud space for providing security for the stored and utilized private data in the cloud that are periodically exchanged with the clients of the cloud environment. This proposed PBPRF scheme ensures secure sharing of data by relying on a trustworthy data aggregation scheme which is fully dependent on erasable data hiding technique. The simulation experiments and results of the proposed PBPRF mechanism is compared with the baseline PRIAS and TPAAAS techniques in terms of pseudonym generation cost, pseudonym verification, execution time and pseudonym verification time under batched and separated environment.
Cloud Based User Analytics and Dynamic Page Refreshment Application for Web Portal
Authors:   Assistant Professor, Department of Computer Science, Alagappa University, Karaikudi, Tamil Nadu, India., Santhoshkumar Sundar , Balakrishnan C. ,   Assistant Professor, Alagappa Institute of Skill Development, Alagappa University.ac.in., Subhasri P. ,   Adjunct Faculty, Alagappa Institute of Skill Development, Alagappa University, Lankeswaran V. ,   Assistant Professor, Department of Bio Informatics, Alagappa University, Sangeetha M. ,   PG Scholar in Computer Science, Department of Computer Science, Alagappa University
Published: August 2019

Dynamic web development [1] is one of the emerging fields in computer science. Dynamic updation [2] without disturbing the user environment is a challenging task. The modern technologies provide more support for dynamic web content development. The social network, user customization are the needful buzz words for a successful business on the web. The standard colors and static design with dynamic operations may get bored. Online bookselling and reading are one of the leading business industry in the world. The book readers are interested to know the feedback of a book before going to read or purchase. Today social media gives background information about anything in this world. For selling or buying well in digital medium every user needs some relevant information about the product. The searching and buying products based on the customer reviews are become increased. For that Web 2.0 and other new techniques and models are used to assist users during the search, promote products during the requirement and very useful in decision making. This work is extending the existing functionality to support the analytics. The proposed web analytics approach enables users to know about the same interest groups in the web portal and enables to collaborate. The new portal should be a social media platform for the readers. In the new portal, the end-user is not only a user of the application but also a participant by social networking, tagging, etc.
Microcontroller Based Multichannel Data Acquisition System using LabVIEW
Authors:   Electronics Division, Atomic Energy Centre Dhaka, 4 Kazi Nazrul Islam Avenue, Shahbag, Dhaka-1000, Bangladesh, Al Mamun Md. Abdullah , Rahman Md. Atiar ,   Electronics Division, Atomic Energy Centre Dhaka, 4 Kazi Nazrul Islam Avenue, Shahbag, Dhaka-1000, Bangladesh, Sattar Sabiha ,   Electronics Division, Atomic Energy Centre Dhaka, 4 Kazi Nazrul Islam Avenue, Shahbag, Dhaka-1000, Bangladesh, Begum Mohaimina ,   Electronics Division, Atomic Energy Centre Dhaka, 4 Kazi Nazrul Islam Avenue, Shahbag, Dhaka-1000, Bangladesh
Published: August 2019

Microcontroller based Multichannel Data acquisition system (DAS) using LabVIEW is presented. This system is facilitated by using the built-in 10-bit ADCs and digital I/Os of the microcontroller. In a typical setup for analogue voltage measurement, under program control, this system keeps on monitoring the voltage on analogue inputs and makes the digital equivalent and transfer to PC through USB port. It also allows to read digital inputs and to write digital outputs under program control by PC. The controlling program on PC was developed by LabVIEW which is used to read this input at pre-decided time intervals. The controlling program reads these values and process accordingly. Microcontroller programs are also developed and tested successfully. The DAS was successfully used to monitor analog voltage during the laboratory experiments. It is also used for reading data from a temperature sensor. The results reveal that the DAS is suitable and easy method for real time data acquisition. It is expected that this developed system may contribute in the field of automation.
A Fuzzy Logic-Proportional Resonant Controller Based Coordinated Control Scheme for Standalone Wind Power System with Bess
Authors:   Research Scholar, Department of EEE,NIE Institute of Technology, Vaibhav G N S , Srikanthan Dr B S ,   Assoc, Prof(Retd), Department of EEE, NIE Institute of Technology
Published: August 2019

The usage of Wind Energy Conversion Systems (WECS) in the standalone power systems that are increasing in the present scenario with the massive potential because of its high availability and low maintenance.Battery Energy Storage Systems (BESS) is applied to provide the voltage support in the standalone systems. Usually, Proportional Integral (PI) controller are applied for controlling the power in between the power generation and load. However, at thetime of unbalance load conditions, the performance of the PI controller is limited. In addition, with that, PI introduce steady-state errors and has restricted disturbance removalability. The conventional coordinated controllers also suffered from transient conditions at the time of dynamic load variations. To resolve these problems, this paper presents a Fuzzy logic based Proportional Resonant (PR) controller for providing better voltage support in the standalone wind power systems. As an alternative of the conventional PI controller, a PR controller is utilized in the coordinated control system. For optimizing the PR controller gain parameters, Fuzzy Logic Controller (FLC) is utilized. Performance of the proposed Fuzzy-PR controller is compared with the PI controller based coordinated controller. The outcomes demonstrate that the proposed controller delivers better DC voltage support compared with the general PI controller. Furthermore, the Total Harmonic Distortion (THD) of the presented system is very low contrasted with the standard control methods. MATLAB/SIMULINK tool is utilized to validate the system performance.
Wearable Indoor Tracking Device using Wi-Fi Positioning System with PPG Sensor and Android Application
Authors:   Currently, the DEAN of the College of Engineering in AMA University., Lacatan Luisito Lolong , Almero Miah Dell ,   Currently working in Accenture PH as an Associate Software Engineer., Bautista Jasmine ,   Currently working in Accenture PH as an Application Development Associate, Crescini Charmaine ,   Currently working in Accenture PH as an Associate Software Engineer, Mae Salgado Marsielle Essen ,   currently working as an Associate Quality Assurance Analyst at Infor PSSC Inc,
Published: August 2019

Many inventions that manifest the required qualities for the improvement of the search and rescue operations are made. However, the present inventions do not cover accurate tracking of the victims which contributes to a delay during operation. Thus, a Wearable Indoor Tracking Device using Wi-Fi Positioning System with PPG Sensor and Android Application is developed to uplift the limitations of the devices present today which can resolve the delay of search and rescue operation. This project focuses on detecting the specific location of the victims which includes distance and direction from rescuer’s perspective as well as the victim's status. Moreover, the location and status of the victim can be viewed simultaneously through an Android Application. To achieve the tracking technology, trilateration technique is used. It manipulates the calculated distance of the beacons by finding their intersection. To get the measured distance the researchers use an algorithm named Free Space Path Loss wherein it converts the Wi-Fi strength into distance. For the direction, slope formula is used to determine the measured angle between the rescuer and the victim. Therefore, by making this wearable device, the search and rescue operation will increase its accuracy to 80% in finding the distance of the rescuer and the victim and by 100% in finding the direction of the rescuer from the victim.
Code Pocket: Development of Interactive Online Learning of STEM’s Subject
Authors:   Center for Advanced Computing Technology, Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia., Zakaria Nurul Azma , Saharudin Muhammad Shamil ,   Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia., Yusof Robiah ,   Center for Advanced Computing Technology, Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia., Abidin Zaheera Zainal ,   Center for Advanced Computing Technology, Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia.
Published: August 2019

As to promote and develop STEM education in Malaysia, various approaches have been taken, including improving the curriculum of secondary school by enhancing the contents of the Technology subjects. In this paper, we are concentrating on the issues raised in learning and teaching the computer science subject specifically in supporting the students to understand the syllabus. We propose an interactive online learning application (Code Pocket) using Waterfall model to assist students in learning the subject and enables teachers to monitor the performance of the students. Code Pocket is a web-based application which acts as e-learning platform that consists of many modules such as notes, quiz and reporting. A dashboard menu panel is provided to enable easy navigation. This application provides alternative learning and teaching mechanisms by providing flexible learning environment that promotes online and mobile learning which can be accessed at anytime and anywhere. With interactive features, the learning experience will be better and interesting.
Design of Butter Spreader- An Application of Generic Product Development Process.
Authors:   Student, Department of S. Y. B. Technology, Padmabhushan Vasantdada Patil Institute of Technology, Bavdhan, Pune, (Maharashtra), India., Dandekar Miss I.A. , Awati Miss R.V. ,   Student, Department of S. Y. B. Technology, Padmabhushan Vasantdada Patil Institute of Technology, Bavdhan, Pune, (Maharashtra), India., Joshi Mr. A.K. ,   Student, Department of S. Y. B. Technology, Padmabhushan Vasantdada Patil Institute of Technology, Bavdhan, Pune, (Maharashtra), India., Kulkarni Dr.S.S. ,   Proffessor, Padmabhushan Vasantdada Patil Institute of Technology, Bavdhan, Pune, (Maharashtra,) India., Dandekar Mr.A.R. ,   Proffessor, Padmabhushan Vasantdada Patil Institute of Technology, Bavdhan, Pune, (Maharashtra,) India.
Published: August 2019

In the current competitive scenario after globalization, product development process is a very challenging task as it depends on various factors from Customers says to Government policies. Today’s customer is technically smart and well aware about the quality of the product. Even just a word about customer dissatisfaction is sufficient to defame the brand image of the product in the market. To avoid such circumstances, it is essential to excercise scientific techniques of product development, so that manufacturers can concentrate on product quality, customer satisfaction, etc. To fulfill the requirements of the manufacturer regarding product development various approach to new product development like Lean product development, Spiral product development, agile product development have been developed by the researchers and the industrial experts. The Generic product development process is a very simple approach in the above-mentioned methodologies. This article discusses the development of butter spreader by using Generic product development process. However, in the initial phase the work is limited up to the overall design of the product.
Strength Behavior of Concrete by Partial Replacement of Fine Aggregate with Ceramic Powder
Authors:   Civil Engineering, Integral University, Lucnow, India., Ahmad Dr. Sabih , Anwar Abdullah ,   Civil and Environmental Engineering, Universiti Teknologi, PETRONAS, Seri Iskandar, Perak, Malaysia., Mohammed Prof. Bashar S. ,   Civil and Environmental Engineering, Universiti Teknologi, PETRONAS, Seri Iskandar, Perak, Malaysia., Abdul Wahab Dr. Mubarak bin ,   Civil and Environmental Engineering, Universiti Teknologi, PETRONAS, Seri Iskandar, Perak, Malaysia., Ahmad Prof. Syed Aqeel ,   Civil Engineering, Integral University, Lucknow, India.
Published: August 2019

Concrete is currently the world's biggest consumer product that uses natural resources such as sand, crushed stone, and water. Research is under way today to decrease consumption of these materials, due to the depletion of these natural resources for concretion. The fast building growth in India led to a lack of standard building materials. The amount of concrete used and the accessibility of raw material in a developed country such as India are much lower. Ceramics produce wastes inevitably in the ceramic industry, regardless of improved processes; around 15%-30% of production is waste output. The ceramic industry dumps waste in all surrounding storage or empty regions close to the facility, although reported locations are labelled for discarding. The pollution of the dust and the occupation of a broad area of soil is caused by serious environmental contamination especially after the powder is dry. Ceramic dust is the most important waste from the ceramic industry. This paper investigates concrete strength features through fractional substitution of fine aggregates with ceramic powder. The fine aggregate was partly combined with ceramic powders in the current experimental study for M25 concrete grade. The tests were performed with 10 percent, 30 percent, 40 percent, 50 percent substitution of fine aggregates with ceramic powder by weight and 28 days of strength testing to evaluate the mechanical characteristics i.e.; compression, tension, and flexural behavior. The optimum proportion of ceramic powder addition is evaluated in view of the mechanical requirements of concrete
Using Fuzzy Inference System for Interference Mitigation in Cognitive Radio based Heterogeneous Wireless Sensor Network(FIS-CoRHAN)
Authors:   Associate Professor, Department of Electronics and Communication Engineering, Kings College of Engineering, Punalkulam, Tamil Nadu, India, Shanthi Dr. T. , Sakthivel Dr. E. ,   Associate Professor, PSR engineering College, Sivakasi, Tamilnadu, India, Arunraja Dr. M. ,   Associate professor, Jeymugi engineering College, Jayamukhi Institute of Technological Sciences - JITS Warangal Telangana, India
Published: August 2019

Cognitive Radio based Heterogeneous Wireless Sensor Network (CoRHAN) is an innovative multi-layered infrastructure approach in wireless engineering which incorporates different communication modes over large geographical area. CoRHAN employs cooperative communication among sensor nodes and cognitive radio to ensure an optimized communication experience for users. It shares radio resources fairly and efficiently by integrating multiple networks together. Challenge in such network is the ability to instantly detect interference on the frequencies being used and quickly tune to other better frequencies for communication reliability. In this paper, we have proposed an enhanced CoRHAN using Fuzzy Inference System (FIS). FIS is applied to mitigate the fading frequencies due to co-channel interference. It helps to sort out the best frequency channel among the selected cooperative spectrum sensed channels. Prototype was developed to demonstrate the proof of concept and analyze the feasibility and practicality of using FIS-CoRHAN technique in Cognitive Radio based Heterogeneous Wireless Sensor Network. Simulation results show that our solution achieves better performance when compared to existing CoRHAN approach substantially satisfying the robustness constraints.
Swarm Intelligence Techniques in Segmenting Human Retinal Vasculature
Authors:   PG Department of Computer Science, D.G Vaishnav College, Chennai-600 106, India, Anitha Dr .A. , Sridevi Dr. T. ,   PG and Research Department of Computer Science & Applications, D.G Vaishnav College, Chennai-600 106, India.
Published: August 2019

Vasculature of human retina furnishes information concerning various eye related ailments and also assists in lesions detection. Severity of the eye diseases can be discerned from pathological conditions related to changes in the retinal vasculature. In this work, for pre-processing, Contrast Limited Adaptive Histogram Equalization (CLAHE) and average filter is used to enhance the input image. Further, swarm intelligence techniques, Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO), Fractional Order- Darwinian Particle Swarm Optimization (FO-DPSO) are used in segmenting the blood vessels of the human retina. Additionally, similarity index metrics are employed in evaluating the accuracy of the retinal vasculature segmentation with ground truth. The results obtained clearly reveals that FO-DPSO outperforms in segmenting accurately than PSO and DPSO. Results of the segmentation are further reinforced using box and dendogram plot.
Determination of Mechanical Properties of Rubberized Concrete in Marine Environment
Authors:   Research Scholar, Civil Engineering Department, National Institute of Technology Durgapur, (West Bengal), India., Yadav Bejay Kumar , Saha Dr. Showmen ,   Professor, Civil Engineering Department, National Institute of Technology Durgapur, (West Bengal), India.
Published: August 2019

With an objective of saving the environment by providing crumb rubber as an alternative to natural fine aggregate this paper presents a study carried out to find the mechanical properties of rubberized concrete. Rubberized concrete is made up of waste rubber from vehicle tyres and other rubber waste which otherwise is left out polluting the environment. In this paper, 7.5% of crumb rubber (obtained by shredding the vehicle tyres) as an alternative to fine aggregate and 7.5% of fly-ash as an alternative to cement is added with other ingredients of concrete to produce an eco-friendly concrete which can be used economically and effectively for construction along the coastal areas. Various properties like workability, compressive strength, split tensile strength, and flexural strength was carried out on concrete specimens exposed to the natural marine environment along the coast of Visakhapatnam, Andhra Pradesh. The total exposure of concrete specimen was about 150 days, and various specimens were tested at 7, 28, 90, 120 and 150 days, respectively. The test results showed that with a slight compromise in strength, the workability of concrete and resistance to the effect of seawater on the strength of concrete significantly improved with the addition of crumb rubber and fly-ash.
Detecting Denial of Service Attack in Wireless Sensor Network using Energy Efficient Extreme Learning Neural Network (EEELNN)
Authors:   School of Computing Science and Engineering, VIT University, Chennai, India., Venkatesh A. , Asha S. ,   School of Computing Science and Engineering, VIT University, Chennai, India.
Published: August 2019

One of the effective communication technology is wireless sensor network technology which helps to monitor the surrounding information by sensed nodes. The effective utilization of sensed nodes is utilized in different applications such as military, health information, environmental monitoring, disaster relief and target analyze. The application requires the collection of information which may be collected from one location and transferred to the other location for making their process so easier. During the information transformation process, the network may affect by several intermediate attack, in which denial of service is one of the serious attack because it affects the entire network resources such as network energy, power, bandwidth. The unavailability of the resources reduces the entire sensor network performance. For managing the attack related issues, in this paper introduces the Energy Efficient Extreme Learning Neural Network (EEELNN) approach for overcoming the attack related issues. Initially the network transmitted zone is computed along with energy, power, bandwidth, neighboring node information and lifetime for eliminating the attack in sensor network. The computed information is processed and trained by extreme learning neural network that successfully predict the attack related data, node and network zone with effective manner that leads to improve the overall network performance. At last system efficiency is evaluated using simulation results such as detection rate, classification accuracy, false alarm rate and detection time.
Integrating Bat Algorithm to Inverse Weighted K-means
Authors:   Computer Engineering Department, Islamic University of Gaza, Gaza, Palestine., Alhanjouri Mohammed A. , Alghoul Ahmed ,   Computer Engineering Department, Islamic University of Gaza, Gaza, Palestine.
Published: August 2019

Inverse Weighted K-means less sensitive to poor initialization than the traditional K-means algorithm. Therefore, this paper introduce a new hybrid algorithm that integrates inverse weighted k-means algorithm with the optimization bat algorithm, which takes the advantages of both algorithms, from one side the quick convergence and the best global fitness values that obtained from using the bat algorithm and from other side the best clustering results that obtained from inverse weighted k-means algorithm. Moreover, to discuss in deeply the best choices of numerator and denominator powers to get best cluster integrity by getting the best value of cost function by comparing the results of the new algorithm with the inverse weighted k-means algorithm. Improved outcomes were achieved using the new hybrid algorithm.
Budget Financing Of Investment Projects At The High-Technology Industry Enterprises: Project Implementation Technology And Risk Mitigation
Authors:   Moscow Aviation Institute (National Research University), Moscow, Russia, Nikulina E. , Tarasova E. ,   Moscow Aviation Institute (National Research University), Moscow, Russia
Published: August 2019

As a rule, large-scale investment projects in high-tech industries are implemented with the participation of the state. The procedure and terms of coordination of the budget financing volumes and forms take a considerable amount of time (sometimes up to two years), and its results, when approved, are not subject to review. During this time, the baseline data on the project undergo changes leading to an increase in its value, thereby increasing the risks of successful project implementation. Thus, the company needs to secure additional financing at its own expense in order to eliminate negative consequences by increasing the project value. This situation can be resolved by using a redundancy mechanism that allows an enterprise to gradually accumulate funds to cover the increasing project costs. The availability of the reserve fund increases the sustainability of the project in terms of the dynamic external environment and leads to the mitigation of risks in its implementation.
Security and Privacy of Data in Cloud Computing
Authors:   Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India., Buchade Amar , Ingle Rajesh ,   Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India.
Published: August 2019

The cloud computing paradigm is being used because there is no need to setup additional IT infrastructure such as hardware and software, its low up-front cost. Security and privacy of data is important in day to today life especially for applications that uses cloud computing such as social media. Customer information that is stored at Cloud is crucial that needs to be protected against potential intruders. There is threat to maintain the data in transit and data at cloud due to different possible attacks. Due to this there is growing need of privacy and security of data. In this paper, the privacy and issues, privacy preservation techniques are addressed. In addition to this, in order to protect the data, the secret sharing algorithm is implemented and analyzed. The shamir’s secret sharing (k,n) algorithm is used to split the data into n partial shares which can be distributed in cloud. The user collects at least k partial shares to reconstruct the complete data. It is observed that if the file size is increased, the data recovery time is also increased. The paper concludes with privacy preservation guidelines.
Speaker Recognition system and it’s Applications
Authors:   Assistant Professor in Department of Electronics, in UMIT, SNDT Women’s University, Mumbai., Niwatkar Arundhati Y. , Kanse Dr. Y. K. ,   Associate Professor in Department of Electronics,, Karmaveer Bhaurao Patil College of Engg, Satara,India.
Published: August 2019

Speaker recognition is the task in which the speaker is identified based on various features from his speech. Speaker recognition is combination of various mathematical operations in which training and testing is the major part. For speaker recognition its very important to extract the features. So far many researches are going on about feature extraction techniques like MFCC, IMFCC etc. In which features can be extracted, but for the exact speaker recognition its very important to get the exact and accurate features so that we can increase the success rate of speaker recognition. For any speaker recognition system feature extraction is the primary and very important step. So the precise result depends on the accurate result of feature extraction technique. In this paper we are proposing a modified feature extraction system.
WECS fed Off-Board EV Battery Charger using Single Stage Converter
Authors:   School of Electrical Engineering, Vellore Institute of Technology (VIT), Chennai, India., N Sujitha , S. Krithiga ,   Corresponding author, School of Electrical Engineering, Vellore Institute of Technology (VIT), Chennai, India.
Published: August 2019

Wind energy conversion system fed EV battery charging system using single phase bridgeless cuk converter is proposed in this paper. PMSG is employed in the WECS to convert the mechanical energy into electrical ac power. In standalone wind energy conversion systems, two stage ac-dc & dc-dc converters are employed to obtain the desired output. The bridgeless cuk converter employed in the proposed charger is a single stage converter which acts as rectifier as well as dc-dc converter. The bridgeless cuk converter converts the ac voltage generated from PMSG into a desired dc voltage for charging the battery of an electric vehicle. Thus, an intermediate stage of power conversion is reduced in the proposed system. Also, a simple output voltage controller is employed in the proposed system to charge the electric vehicle battery with constant voltage irrespective of the wind speed. The proposed off-board EV battery charger is simulated in Simulink environment of MATLAB software and the results obtained are furnished in this paper. The experimental investigation has been carried out in the developed laboratory prototype of the EV battery charging system and the obtained results are furnished in this paper.
Enhancing the Data Security by using RSA Algorithm with Application of Laplace Transform Cryptosystem
Authors:   Assistant Professor, Dept of Applied Mathematics, GIS, GITAM (Deemed to be University), Andhra Pradesh, India., Nagalakshmi G. , Sekhar Prof. A. Chendra ,   Dept of Applied Mathematics, GIS, GITAM (Deemed to be University), Andhra Pradesh, India., Sankar Prof. N. Ravi ,   Dept of Applied Mathematics, GIS, GITAM (Deemed to be University), Andhra Pradesh, India., Venkateswarlu K. ,   Assistant Professor, Dept of Computer Science, GIT, GITAM (Deemed to be University), Andhra Pradesh, India.
Published: August 2019

Encryption and Decryption schemes based on applications of Laplace Transforms are unable to provide more security to communicate the information. Rivest, Shemir, Adleman (RSA) Cryptosystem is popular public-key algorithm. This paper provides the conditions that give rise to the RSA Cryptosystem based on the Laplace Transform techniques. The modified RSA cryptosystem is explained with an algorithm. The proposed algorithm is implemented using a high level program and time complexity of the proposed algorithm is tested with RSA cryptosystem algorithms. The comparison reveals that the proposed algorithm enhances the data security as compare with RSA cryptosystem algorithms and application of Laplace Transform for cryptosystem scheme. The statistical analysis for the proposed and existing algorithms is provided
Establishing Efficient Conditions for Agriculture Development
Authors:   Michurinsk State Agrarian University, Michurinsk, Russia, Nikitin Alexander , Kuzicheva Natalia ,   Michurinsk State Agrarian University, Michurinsk, Russia, Karamnova Natalia ,   Michurinsk State Agrarian University, Michurinsk, Russia
Published: August 2019

The purpose of this paper is to adapt theoretical knowledge to derive practical recommendations on developing agriculture with a view to finding solutions to the problem of building up economic potential. The paper substantiates the relevance of further development of agriculture, emphasising the role of the industry in sustaining stable operation and development of the agro-industrial sector in general. The authors have shown that the identified conditions of efficient agricultural reproduction of the expanded type are not yet fully established. The conducted analysis of the state of Russian agriculture has shown that the industry has built sufficient capacity not just to supply its own needs from inner sources, but also has stable positions in the global market in grain and sunflower oil production; national requirements are fully met in egg products, pork and poultry meat, white sugar; a deficit in commodity supply, nationally, exists in fruit, berries, grape, vegetables, beef, milk. No expanded reproduction is yet attained in horticulture, vegetable farming, cattle farming. The reason for this condition is the high capital intensity and low capital turnover rate in production, on the one hand, and insufficient infrastructure profile, on the other hand. Moreover, the reserves for production growth lie in the active engagement of minor agricultural producers and private households to the mass market. Alongside the issues of resource supply, systematic state support of the agricultural sector should also address measures to ensure and regulate guaranteed marketing of agricultural products.
IOT Based Wireless Safety System for Monitoring the Physiological and Environmental Variables of Mine Workers.
Authors:   Electronics and Telecommunication, AISSMS Institute of Information Technology, Pune, Maharashtra, India., Dabhade Gauri Suresh , Gajare Milind .P. ,   Electronics and Telecommunication, AISSMS Institute of Information Technology, Pune, Maharashtra, India.
Published: August 2019

The coal mining is essential as well as a risky venture. The miners working here need to handle the extreme environmental condition and the physiological hazardous without specialized examination. A continuous monitoring of the environmental change and the physiological variables is needed in order to enhance the condition for people and the equipment. A Continuous monitoring of the environmental gases and the physiological variables is the major challenge and need to be followed for safety of workers working in mine. This paper present the design and the implementation of real time monitoring device to measure the physiological variables and the gases present in the mining. The proposed system consists of physiological variables, ECG signal, respiratory activity, body temperature, fall detection and also the environmental gases. The sensors will be embedded throughout the T-shirt to measure the variables. The device will monitor the real time data and wireless communication network will be provided by using Wi-Fi link module. By using IOT it is easy to upload the data on the web server and it also provides data security.
Coordination of Over Current Relays in Distributed Generation
Authors:   Research Scholar, Department of EEE, JNTUA, Ananthapuramu, India and Assistant Professor, Department of EEE, Sree Vidyanikethan Engineering College, Tirupathi, India., Reddy Mr. T. Kosaleswara , Devaraju Dr. T. ,   Professor, Department of EEE, Institute of Aeronautical Engineering, Hyderabad, India, Kumar Prof. M. Vijaya ,   Professor, Department of EEE, JNTUA, Ananthapuramu, India., Paparayudu Mr. Y. ,   PG student, Department of EEE, Sree Vidyanikethan Engineering College, Tirupathi, India
Published: August 2019

The modern power system increases the power by adding Distributed Generation (DG). When distributed energy sources are added to the network, they effect the conventional fault levels and fault current paths and have been proved that the accurate operation of the overcurrent protection is not possible. This paper describes time overcurrent relay protection for radial distribution system (RDS) with DG. These time overcurrent relays is implemented by using IEC-60255 standard. The proposed protection outline is verified on a typical IEEE 13-bus radial distribution system with distributed energy source. The model of the system is replicated by using MATLAB/Simulink.
Fabrication and Experimentation of Diffuser Augmented Wind Turbine
Authors:   Pursuing M.Tech in Thermal Power Engineering , Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Bengaluru., Borkar Santoshkumar , Muthu Kanaka ,   Principal Scientist & Coordinator Wind Energy, CSMST Division, CSIR-NAL, Bengaluru, G L Arunkumar ,   Assistant Professor in the department of Mechanical Engineering at Nitte Meenakshi institute of technology Bengaluru., Kumar K Ashok ,   Assistant Professor in the department of Mechanical Engineering at Ramaiah Institute of Technology, Bengaluru.
Published: August 2019

Wind Energy is turning into a big supply of renewable energy throughout the globe. This ever increasing field can probably reach the limit of accessibility and utility with the wind energy facility sites and size of the turbine itself. Therefore, it's needed to develop wind capturing devices that may produce energy within the locations wherever typical horizontal axis wind turbines (HAWTs) are too unrealistic to put in and operate. A diffuser augmented wind turbine (DAWT) is one such invention. DAWTs increase the ability output of the rotor by increasing the wind speed into the rotor employing a duct. The main objective of the project is to analyze the flow through the diffuser by placing it in wind tunnel and further the results are compared with the computational results. The purpose of investigating the flow through, the diffuser is to find out the behavior of wind flow at the throat region of the diffuser. Numerical analysis of diffuser is performed using the tool ANSYS FLUENT 15 and then by experimentation in wind tunnel. Experiments were carried out for investigating the flow pattern inside the circular profile diffuser of radius 60mm, Throat diameter of 200mm, inlet and outlet diameter of diffuser is 320mm. Pitot tubes are inserted on the rake and then mount on the throat region of diffuser for flow measurement in that region. Differential pressure transducers which gives voltage output are used for sensing the pressures from Pitot tubes, static tubes which is mount on surface of test section of tunnel and PS tube which is used for reference velocity. Further obtained pressure will be converted to velocity and get the required result. After completion of computational and experimental work comparable results were obtained.
Influence of Friction Stir Processing Parameters on Mg ZE 41-SiC Surface Composite
Authors:   Research Scholar, Dept. of ME, University Engineering College, Acharya Nagarjuna University, India., Aryavalli Sailaja , Reddy B.Ram Gopal ,   Department of ME, RVR & JC College of Engineering, Guntur, A.P., Venkateswarlu C ,   Department of ME, Sree Chaitanya College of Engineering, Karimnagar, TS.
Published: August 2019

In this study, the influence of friction stir processing process parameters (FSP), such as tool rotational speed, tool traverse speed, and the tool tilt angle on the mechanical properties of Sic reinforced surface magnesium rare earth ZE41 alloy composite was studied. The process was carried at tool rotational speeds of 710, 900, 1120, 1600, 1400 and 1800 rpm, tool traverse speeds of 16, 25, 40 and 63 mm/min and tool tilt angle of degree 1. Nano-particles of SiC (40 microns) were used as reinforcements to produce a composite surface. The grain refinement of the processed specimens was analyzed using scanning electron microscope. It is observed from the results that FSP process parameters influenced the surface composite area, SiC particles distribution and micro hardness of the composite. The outcomes indicated that the higher micro hardness was obtained at rotational speed of 1100 RPM, traverse speed 40mm/min and tilt angle 10.
Tool Optimization of Friction Stir Processing of ZE41A Rare Earth Magnesium Alloys
Authors:   Research Scholar, Dept. of ME, University Engineering College, Acharya Nagarjuna University, India., Aryavalli Sailaja , Reddy B.Ram Gopal ,   Department of ME, RVR & JC College of Engineering, Guntur, A.P., Venkateswarlu G. ,   Department of ME, Sree Chaitanya College of Engineering, Karimnagar, TS.
Published: August 2019

In this study, the effect of tool pin geometry on the microstructure and mechanical properties friction stir processed (FSP) specimens of ZE41 magnesium alloy were investigated. The four different tool pin profiles such as triangular, square, taper cylindrical and threaded taper cylindrical with process parameters of 1120 RPM, 25mm/min and tool tilt angle 10 were considered. Microstructures of the processed specimens are examined using scanning electron microscope (SEM) and the wear behavior was observed using pin on disk tribometer. The consequences show that the triangular tool pin produced defect free joints, finest microstructure, higher mechanical and wear properties.