bluuebunny/crossref_metadata_2025 huggingface dataset:
Home Automation and Security using Raspberry Pi and Whatsapp
Authors:   Department of ECE, KoneruLakshmaiah Education Foundation, Vaddeswaram,.A.P,India, Kanakaraja P. , Deepak B. Srikanth ,   Department of ECE, KoneruLakshmaiah Education Foundation, Vaddeswaram A.P, India., Nikhil K. V. Jaya ,   Department of ECE, KoneruLakshmaiah Education Foundation, Vaddeswaram, A.P,India, Rakesh Y. V. S Pavan ,   Department of ECE, KoneruLakshmaiah Education Foundation, Vaddeswaram, A.P,India., Venkatesh K. Naga ,   Department of ECE, KoneruLakshmaiah Education Foundation, Vaddeswaram, A.P,India.
Published: January 2020

This paper presents an ingenious remotely sensible system that controls the home appliances by using WhatsApp. This is an IOT based model designed and developed by using Raspberry Pi-3. In this proposed system of home automation, the feasibility of executing certain important tasks with higher controllability and remote access have been incorporated. Home appliances such as lights, fans, air conditioners, power driven electrical and electronic commodities etc., are made to control from any part of this world, using a mobile phone with WhatsApp installed in it. For ensuring this functionality, a web interface has been developed using the Raspberry Pi, as a web server for operating and controlling the home appliances through any Wi-Fi accessible mobile device with WhatsApp feature.
Market Basket Analysis with Enhanced Support Vector Machine (ESVM) Classifier for Key Security in Organization
Authors:   Research Scholar, Department of Computer and Information Science, Annamalai University, Chidambaram (Tamil Nadu), India, Yoganandhini P. , Prabakaran G. ,   Associate Professor, Department of Computer Science and Engineering, Annamalai University, Chidambaram (Tamil Nadu), India
Published: January 2020

Market Basket Analysis is considered to be one among the highly popular and efficient sort of data analysis exploited in the marketing and retailing field. The objective of market basket analysis lies in deciding the products purchased together by the customers. Its name has originated from the concept of customers filling into a shopping cart everything of all they had purchased (a "market basket") while doing shopping in the grocery. Having a knowledge of the products that customers buy in group can be quiteusefulfor a retailer or to any other organization. A store could make the best use of this information to keep the products that are often sold together in the same place, whereas a catalog or World Wide Web (WWW) merchant could utilize it for deciding the structure of their catalog and order form. Since several applications such as market basket analysis, fraud detection in web, medical diagnosis, census data, Customer Relationship Management of business that makes use of association rules exists, the process involving Decision making can be improved. Security is also regarded to bean important facet for transactions done individually and frequent itemsets for database that are horizontally partitioned. In order to render security for lastly bough often used itemsets for transaction purposes, this research work introduces a novel key security algorithm that uses RSA cryptographic technique which is classifier based. The classifier makes use of information about several often utilized itemsets and it provides a key value to the actual company. For instance, in case if there are any reliance users, only the valid users can obtain that market info. The rest of the users belonging to the reliance organization are not allowed to select the data’s key value. First, the frequent itemsets are mined with the help of association rule mining employing Probabilistic Graphical Model techniques. Then the Enhanced Support Vector Machine (ESVM) classifier checks the key values of the mined frequent itemsets.
Smart ECG Monitoring Wireless System
Authors:   Department of Electronics and Telecommunication Engineering., VPKBIET, Baramati, India,, Chede Santosh , Girhepunje Vyenktesh ,   Department of Electronics and Telecommunication Engineering PCE, Nagpur, India.
Published: January 2020

Under advanced patient diagnostic approach, expensive wearable Holter Electrocardiography unit is used to record cardiac parameters for 24 or 48 hours. This may cause inconvenience to patient due to weight, dangling wires and taxing additional time to transfer data to the hospital from patient’s location. IOT plays a crucial role to read and transfer ECG data from remote places effectively for individuals and more. In this paper low cost, low power, portable ECG monitoring system is designed and experimented. Hardware-software co-design realizes real-time, wireless, acquisition of cardiac parameters. AD8232 is used to capture cardiac signals and processing is realized using MSP432P401R microcontroller and IOT. Under the event driven approach, in case of specific abnormality, Electrocardiogram (ECG) signal is transmitted, otherwise no transmission is allowed in order to reduce power consumption.This approach increases battery life time and reduces complexity.
E 2CL, HC: Energy Efficient Cooperative Localized & Hierarchical Cluster Routing in CRN
Authors:   CSE,University Visvesvaraya College of Engg, Bangalore University, Bangalore, India., N Shyleshchandra Gudihatti K , R Tanuja ,   CSE,University Visvesvaraya College of Engg, Bangalore University, Bangalore, India., Manjula S H ,   CSE,University Visvesvaraya College of Engg, Bangalore University, Bangalore, India., R Venugopal K ,   Bangalore University, Bangalore, India.
Published: January 2020

With the advancement of Cognitive Radio Network (CRN), localization of primary users progress the improvement of network performance with respect to power adoption and reliability. Moreover, CRN localization is essential because storage energy of CR devices is limited and causes increased network lifetime. By considering these issues, we propose an Energy Efficient Cooperative Localization approach (EE-CL) in CRN, which is used for placing Primary User (PU) position with the help of mobile a aided CR. Moreover, communication among CRs cooperation which leads to demand of more energy, a mobile CR is allowed to manage the overall positional accuracy and wake up minimum number of CR to collaborate CR manager. In order to investigate influence of accurate location knowledge, a location-aware CR (LaCR) routing protocol employed and to improve the network life time a Hierarchical clustering approach is applied. We evaluated the simulation results for the proposed Energy Efficient Cooperative Localization (EE-CL) Routing approach which achieves better performance compared to existing Cooperative Localization (CL) with respect to energy efficiency. Furthermore, remarkable performance is accomplished by LaCR protocol in terms of PUs collision risk with the help of localization knowledge obtained from EE-CL approach. Also Hierarchical Cluster Routing protocol acheives significant performance in enhancing the network life time.
Investors’ Behaviour on Investment Avenues
Authors:   Ph. D Research Scholar, Bharathidasan University, Tiruchirappalli, Muneeswaran R. , Babu M. ,   Bharathidasan University, Tiruchirappalli,, Gayathri J. ,   Bharathidasan University, Tiruchirappalli
Published: January 2020

Investors are confronted with a set of investment avenues, to spend their savings, based on the risk and returns availability. The behavior of investors would differ with reference to time, personality and specific needs. Therefore, the study proposes to assess the influence of demographical factors and sources of information on the investors’ awareness and risk attitude, towards various investment avenues. A structured questionnaire was prepared and administered to a sample of investors. It has been found that the rural and urban investors differed in their risk attitude and awareness towards various investment avenues. The Married and unmarried investors did not differ in their awareness but they differed in their risk attitude and risk levels faced by investors differ with respect to age and educational qualification of the investors. The study concludes that the recent technology development could provide knowledge to the investors about their investment options and risk level to take informed decisions on investment.
A Multiband Arrow Shaped Patch Antenna Based on Apollonian Gasket and Soddy’s circle for application in LTE and UWB range
Authors:   Department of Electronics.& Communication.Engineering(ECE), Guru. Nanak Institute of Technology(GNIT) JIS Group, KolkataA, 700114, India, Majumdar Anurima , Das Sisirk Kumar ,   Department of Electronics.& Communication.Engineering(ECE), Guru. Nanak Institute of Technology(GNIT) JIS Group, KolkataA, 700114, India, Das Annapurnaa ,   Department of Electronics.& Communication.Engineering(ECE), Guru. Nanak Institute of Technology(GNIT) JIS Group, Kolkata A, 700114, India
Published: January 2020

A novel arrow shaped planar multiband antenna based on apollonian gasket and Soddy’s circle with Defective Ground Structure (DGS) is described in this paper. The structure is designed on an FR4_epoxy substrate (εr=4.4).The performance is evaluated using HFSS software. The antenna displays multiband behaviour in the frequency range from 3 to 10 GHz which is suitable for wireless communications applications.The antenna gives tri-frequency response in LTE range(600 MHz6GHz):1.17 GHz, 3.44 GHz and 6 GHz;and tetra frequency response in the UWB frequency range(3 GHz to 10 GHz): 8.1 GHz, 9.5 GHz, 11.8 GHz & 13.5 GHz which could be used in wireless and radar communications.The overall performance of the antenna demonstrates an average impedance bandwidth(IBW) of 300 MHz with a good impedance matching (S11< -10 dB).The proposed antenna has the satisfactory radiation characteristics throughout its operating band. The measured highest gain differs from 1 dBi to 1.9 dBi inthe entire frequency range.
Characterization of Hybrid Composite Made of False Banana Fiber and Sisal Fiber
Authors:   Mechanical Engineering department, Assosa University, Assosa, Ethiopia., Negera Dawit Wami , J Bhaskaran. ,   Design and Manufacturing Engineering Department, Adama Science and Technology University, Adama, Ethiopia., Ilmi Idiris ,   Mechanical Systems and Vehicle Engineering Department, Adama Science and Technology University, Adama, Ethiopia., Nallamothu Ramesh Babu ,   Mechanical Systems and Vehicle Engineering Department, Adama Science and Technology University, Adama, Ethiopia.
Published: January 2020

The importance of natural fiber reinforced composites is rapidly developing both in terms of engineering application and research field. The aim of this investigation is conducting an experiment to obtain the water absorption, physical and Mechanical properties of hybrid composite was fabricated from (False Banana Fiber) FBF and (Sisal Fiber) SF through general purpose (GP) resin-hardener mixture. The samples fabrication procedure was carried out by varying FBF and SF weight ratio to see its effect of mechanical and physical properties. Three samples (FBF: SF) i.e., 1:1 ratio, 3:1 ratio and 1:3 ratio with ply orientation as the reinforcement material. Then, tensile strength, compression strength, flexural strength water absorption percentage and density was conducted according to ISO and ASTM standards. The results show that the overall tensile strength shows a 1:3 ratio have shown 69 MPa which are higher than 1:1 ratio and 3:1 ratio. 3:1 ratio. In a compression strength test also 12.30 MPa which was higher result is obtained from 3:1 ratio. For both flexural(bending) strength and water absorption (for ordinary tap water and rainwater) test 380 MPa and (2.64 % and 3.07 %) respectively resulted, which are relatively less than from 1:1 ratio and 3:1ratio.
Mechanical Behavior of Aluminum Metal Matrix Composite for Wheel Hub Application
Authors:   Research Scholar, Department of Mechanical Engineering, St Peter’s Institute of Higher Education and Research, Chennai, India., Rao P. V. Narasima , P Periyasamy ,   Professor, Department of Mechanical Engineering, St Peter’s institute of Higher Education and Research, Chennai, Rao Vasudeva ,   Research Scholar, Department of Mechanical Engineering, St Peter’s institute of Higher Education and Research, Chennai, N. Ramanan ,   Sr. Engineer, Synce Engineering Service, Chennai, Naveen  ,   Asst Professor, Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai
Published: January 2020

Now the days of light weight application in a industry. In light weight application the material also strength of the material also important once. The material behavior load character station and application area also important once. The most of the material not suitable for the application. In this work the aluminum MMC material has been chosen in this work. The main focus of the work is aluminum alloys wheel hub area. The main problem is wear resistance. Generally the alloy wheel hub are with stand in a 50000 KM in motor cycle. Then after they are wear out. When increase the hardness of the material hence the decreasing wear out corresponding wear resistance also improved. In this work the aluminum MMC as taken different level and observed which one material as chosen for the application. Finally we are discussed with fracture surface of the materials
Preparation and Characterization of Tungsten Carbide WC/Cobalt Composites by Powder Metallurgy Method
Authors:   Assistant Professor, Department of Mechanical Engineering, Eluru College of Engineering, Eluru, Andhra Pradesh, India., Nulu D.V.Satya Prasad , Alekhya M.N.V. ,   Assistant Professor, Department of Mechanical Engineering, Sir C.R Reddy College of Engineering, Eluru, Andhra Pradesh, India, Prasanthi P.Phani ,   Associate Professor, Department of Mechanical Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Andhra Pradesh, India, Kumar K. Manoj ,   Assistant Professor, Department of Mechanical Engineering, Eluru College of Engineering, Eluru, Andhra Pradesh, India., Kumar G E V Ratna ,   Assistant Professor, Department of Mechanical Engineering, Eluru College of Engineering, Eluru, Andhra Pradesh, India.
Published: January 2020

The Tungsten carbide (WC) based composites are good choice to replace the traditional conventional materials for obtaining high hardness and wear resistance. This work investigates the influence of cobalt content on the characterization of Tungsten carbide. The composite specimens are prepared by using powder metallurgy technique. The effect of cobalt material on the performance of Tungsten carbide hardness, fracture toughness is estimated by conducting suitable experiments. While performing experiments, a powder mixture of 89% WC, 11% of Co was manufactured with powder metallurgy, under appropriate milling conditions and Sintering temperature to ensure uniform microstructure. From the present work the optimum sintering temperature of Tungsten carbide mixed nano cobalt composite is identified. The crystalanity of the resulting materials is identified from a rapid analytical technique, X -ray Diffraction.
Cognitive Radio Techniques over Conventional Radio Systems
Authors:   Assistant Professor, Electronics and communication Engineering department, GITAM University, Bangalore campus., N Anughna , G Tanuja ,   Assistant Professor, Electronics and communication Engineering department, GITAM University, Bangalore campus., panda Sunita ,   Assistant Professor, Electronics and communication Engineering department, GITAM University, Bangalore campus.
Published: January 2020

Cognitive Radio (CR) has advanced like a brilliant innovation for crossing over the divergence between the accessibility and assignment of the radio recurrence range among various clients. It can change its transmission parameters dependent on the apparent accessibility of the range groups in its working condition. Cognitive radio (CR) innovation vows to be one potential answer for take care of the issue of absence of recurrence range, by permitting access of unlicensed clients in authorized groups, in view of a shrewd methodology and without meddling with the authorized user(PU). Subjective Radio has developed as a savvy innovation in crossing over the divergence between the accessibility and distribution of the radio recurrence range among numerous clients. This paper shows an outline of the spectrum holes in the licensed bands, the concepts of CR, types, spectrum holes, its features and sensing methods the transceiver details and it compares with conventional radio in terms of performance parameters such as interference, operating frequency, security, spectrum utilization, reliability, efficiency and power consumption
Improving Security for Internet of Things Devices using Software Defined Networking
Authors:   Professor, Department of ECE, Sasi institute of Technology & Engineering, Andhra Pradesh,India., Prasad D.
Published: January 2020

This theory has recently been expanded to IEEE 802.15.4 wireless networks, which constitute a key element of the Internet of Things (IoT). Nonetheless, the various patterns of traffic needed for SDN management make it difficult to adapt this method to these extremely demanding situations. Software-Defined Networking (SDN) key contribution of this work is the solution to network with IoT devices that enables network because of better functionalities in case of providing interfacesfor the layers. SDN enables significant advantages of applications to be created on the basis of interaction with traffic networks, trustable authentication, or service eminence. This report suggests the use of a SDN gateway as a decentralized platform to track traffic from IoT gadgets. The configured SDN gateway capable of detection the possible abnormal behaviors and provide it particularly valuable applicability for (obstructive, transmission or application of providing best services to the system).
Linear Static Examination of a Composite Base Structure
Authors:   Associate Professor, Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad,, Kishore N Prabhu , Ellapan Siva Kumar ,   Professor, Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad,, N Alekhya ,   Assistant Professor, Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad,
Published: January 2020

The base structure of the spacecraft connects the satellite with the launch vehicle and it is the main load bearing member. To satisfy the structural requirements, advanced materials are used commonly to manufacture the mechanical load bearing members. The paper deals with the analysis of the base structure of the spacecraft using a combination of metal with the composite materials like CFRP (Carbon Fiber Reinforced Plastic). Analysis is done for base structure of the spacecraft by varying materials in ANSYS 14.5 for each ring. The variation of the materials is done on the insert ring of the base structure along the height in five different ways. The analysis done suggest that the combination of Ti and CFRP ensures lower deformation and weighed 7.34 kg achieving a mass saving of 35% on the existing structure.
Scene Illustration of Terrestrial Animals with Its Monitoring, Tracking and Recognizing Through Deep Learning in Relation with Granular Computing
Authors:   Research Scholar, Amity University, Noida, India., Rawat Neelam , Sodhi J.S. ,   Amity University. Noida, India, Tyagi Rajesh K. ,   Computer Science, Amity University, Gurugram, India.
Published: January 2020

Combining Deep Learning Technique with Granular Computing employs an inductive paradigm for the terrestrial animal’s elucidation. The proposed method frames the object (terrestrial animal) in arbitrary-shaped and sized granules rather than fixed and rectangular shaped, so that object can effectively mine and recognized. The goal is to present a formal model which automatically focus only on representative pixel of each granule rather than converting pixels from entire image through scanning. Thus, this work entails the process of recognizing not only the static animal in the background, but also depicts moving animal in foreground separately.
Impact of Combination of Natural and Synthetic Fibers on the Mechanical Properties of Concrete
Authors:   Department of Civil Engineering, RIMT University, Punjab, India., Yousuf Aamir , Kaushal Manish ,   Department of Civil Engineering, RIMT University, Punjab, India., Mattoo Nahal ,   Department of Civil Engineering, Maharishi Dayanand University, Haryana, India.
Published: January 2020

Concrete has found its widespread application as a construction material. The use of different kinds of concrete have revolutionized the construction industry. Concrete as we know is very good in compression, however due to the development of micro cracks under tensile loading in concrete, the tensile strength of concrete is only 1/10th of its compressive strength. This drawback of concrete has been taken care of by the use of reinforcement in concrete. Rebars or reinforcement bars along with the concrete have added much to the tensile strength of concrete. Over the years steel bars, steel fibers and other materials have been used as reinforcement in concrete. Use of reinforcing bars in concrete caters the need of resisting tensile loads and thereby making Reinforced Cement Concrete an excellent construction material. However, the use of heavy steel bars as reinforcement makes concrete structures heavy and difficult to handle. In order to take care of this a new concept of reinforcement has been introduced i.e. reinforcing concrete with fibers. Different types of fibers have been used over the years as reinforcement in concrete. In this experimental study, combinations of two fibers have been used as a reinforcement. One of the fibers is a natural fiber i.e. coconut fiber and other one is a synthetic fiber i.e. polypropylene fiber. Both these fibers are used in combination with a specific percentage. In the first sample 0.5% of recron fiber was used and 0.25% of coconut fiber. In second sample 0.5% recron fiber was used and 0.75% of coconut fiber. The fiber reinforced concrete was then tested for compressive as well as tensile strength. The test results showed 29.4% and 5.3% increase in compressive strength, 32.3% and 48.9% increase in split tensile strength and 40% and 80% increase in the flexural strength of concrete for both combinations respectively. Thus, making the concrete light weight and more resistant to cracking. This could be very useful in case of concrete pavements and slabs.
Assessment of the Level of Technological Development in the Field of Research and Development: The Regional ‎Dimension
Authors:   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia., Berezina Elena , Bochkovskiy Pavel ,   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia., Lebedev Konstantin ,   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia., Pluzhnova Nadezhda ,   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia.
Published: January 2020

The purpose of this study is to examine world. composite index, allowing to assess area at the subnational level. the proposed index, we compile existing gap between the Russian regions is estimated. In the cour technological development of research and developme - - development, as well as for individual "referent elements"; to conduct a comparative analysis of the Practical relevance: The necessity of developing a given approach is substantiated simul
Design and Development of Integrated Stationary Cycling Charger for Promoting Healthy Lifestyle
Authors:   Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Malaysia., Rasin Z. , Daud F. ,   Public Health Department, Faculty of Medicine, Universiti Kebangsaan Malaysia, Malaysia, Zan M. A. M. ,   MZ Turbo Energy Oil Sdn Bhd, Malaysia., Rani N.A. ,   Public Health Department, Faculty of Medicine, Universiti Kebangsaan Malaysia, Malaysia., Yazid M. A. ,   Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Malaysia.
Published: January 2020

A powerful smartphone with all the high-end features has becomes one of the basic necessitie in today’s modern life. People use the smartphone not only for communication purpose, but for other things such as entertainment, education, and work. As our life has becomes very much dependent on this kind of technological gadget which makes everything easier and faster to access, it becomes a main reason for our lack of daily physical activities which poses potential health issues such as obesity, high cholesterol level and high blood pressure. Despite various brands and models of a smartphone, one thing in common is the use of battery to power the device, where it needs to be recharged over time. The movement of wheel with a motor installed able to generate electricity thus powering the battery. In this research, the enjoyable and healthy activity of cycling is further upgraded to become what is known as a “cycling charger” as a way of promoting a healthy lifestyle within the community. It focuses on the conceptual design and prototype development of a stationary cycling charger which can be located everywhere within the public area for easy access and usability. The specification and parameters of the cycling charger are determined based on the average potential users, including the electrical capacity and device protection. It is then followed by the modelling and simulation works using a software to determine the feasibility before proceeding to the prototyping stage where all the designed circuitries are fabricated and integrated with sensors and microcontrollers for processing information and providing user interface. Lastly, several measurement and operation verification are conducted to ensure a satisfactory operation of the developed cycling charger. It is verified the developed prototype can be operated at a minimum cycling speed a low as 8 km/h which is good for wide range of user with different cycling ability. Its size which is basically based on the available stationary cycling exercise platform and together with an independent battery supply for all its operation make it easier and flexible to be installed within the public area.
Free Code Sharing Web Platform with Intelligent Developer Suggestion Tool
Authors:   Department of Information Technology, Vidyalankar Institute of Technology, Mumbai, India., Gaikwad Ashish A , Vora Deepali R ,   Department of Information Technology, Vidyalankar Institute of Technology, Mumbai, India
Published: January 2020

Due to increase in demands for websites, faster deployment requirements and complex functionality requirements, developers face the need for a centralized code repository system to store repetitive codes and a suggestion tool to help them in solving the errors and warnings they face during development. The proposed system provides a centralized database for storing repetitive code segments, errors, warnings and solutions and also a code suggestion mechanism to provide suggestions to the developer during development. The system includes a code collection system to help the user to add the codes, errors and solutions to the centralized database and an analyzer system to fetch the web-page data, errors and warnings to analyze and provide appropriate suggestions to the developer. The proposed system focuses to reduce work and development time of developers by providing code suggestions during development and also facilitate effective code reusability.
Experimental Research of Wire Cut EDM for SR & MRR using Taguchi Method
Authors:   Department of Mechanical Engineering, Malla Reddy Engineering, College (Autonomous), Hyderabad, Telangana 500100 India., Raveendra A.
Published: January 2020

The present research work is to examine & advance the latent procedure factors affecting the MRR, SR and Electrode Attire despite the fact machining of Nickel composites utilizing WEDM progression. This exertion includes investigation of the connection amid the different information route considerations like Pulse-on time(Ton), Pulse off time(Toff), Pulse Peak Current(IP), Wire substantial, Work piece material & procedure factors. In light of the picked information parameters and execution estimates L-16 symmetrical exhibit is chosen to streamline the most appropriate qualities for machining for nickel amalgams by WEDM
Experimental Research on the Tribological -Mechanical Properties of Al-SiC composites and EN31 Steel
Authors:   Department of Mechanical Engineering, Rathinam Technical Campus, Coimbatore – 641021, Tamil Nadu, India., Ramesh D. , Muruganantham V R ,   Faculty of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore – 641049, Tamil Nadu, India., Balasubramanian K. Arun ,   Department of Mechanical Engineering, Sethu Institute of Technology, Virudhunagar – 626115, Tamil Nadu, India., Thirumoorthy A. ,   Department of Mechanical Engineering, Rathinam Technical Campus, Coimbatore – 641021, Tamil Nadu, India., Sudhakar M. ,   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai
Published: January 2020

In this research, metal matrix composites was fabricated using stir cast technique. Al 6061 alloy (Matrix) and silicon carbide (Reinforcement) were selected as particles. Tata Ace (mini truck) frame made of EN31 steel considered as a comparative material. Optimal weight % of SiC particles was selected as 30 %. Tensile, impact, hardness tests and tribological behaviour of the fabricated composites and EN31 steel was carried out. The mechanical tests such as tensile, impact and hardness are conducted according to the ASTM standards. The results shows that the fabricated composites had improved properties when compared to EN31 steel.
Big Data Knowledge Discovery Platforms: A 360 Degree Perspective
Authors:   Assistant Professor, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India., Singh Neelam , Singh Devesh Pratap ,   , Professor & Head of Computer Science and Engineering Department, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India., Pant Bhasker ,   Dean Research & Development and Associate Professor, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India.
Published: January 2020

Big Datais a buzzword affecting nearly every domain and providing different set new opportunity for the development of knowledge discovery process. Although it comes with challengeslike abundance, extensiveness and diversity, timeliness and dynamism, messiness and vagueness, and with an uncertainty as all the data generated does not relates to any specific question and can be associated with another process or activity. To address these challenges are certainly cannot be handled by the traditional infrastructure, platforms and frameworks. New analytical techniques and high performance computing architecture came into picture to handle this explosion. These platforms and architecture are giving a cutting edge to the Big Data Knowledge Discovery process by using Artificial Intelligence, Machine Learning and Expert systems. This study encompasses a comprehensive review of Big Data analytical platforms and frameworks with their comparative analysis. A Knowledge Discovery architecture for Big Data Analytics is also proposed while considering the fundamental aspect of gaining insights from Big Data sets and focus of this analysis is to provide the open challenges associated with these techniques and future research directions.
Artificial Bee Colony Based MPPT Technique for Solar PV System Under Partially Shaded Condition
Authors:   M.Tech Scholar Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, INDIA., Reddy L Venkata Subba
Published: January 2020

Energy recovery circuit plays significant role in PV string, during different irradiance value condition of PV modules. The BBCSC circuit is the combination of buck-boost converter and switched capacitor circuit; used to eliminate bypass diodes. The main objectives of BBCSC circuit are energy recovery from the photovoltaic modules under different irradiance value condition of PV modules and the voltage of the PV string is maintained on the level generated. In this paper, artificial bee colony (ABC) optimization technique is implemented with MPPT algorithm for solar modules string with boost converter and energy recovery circuit; to improve maximum output power and voltage values during PSC. The main limitation in the conventional method is to track exact MPP under partially shaded condition (PSC) is not satisfactory and Sometimes takes local maxima as global maxima. To overcome this, a new proposed artificial bee colony (ABC) algorithm MPPT is implemented. Comparative analysis has been carried out and verified between the above of state of art methods through simulation results. To valid and verify the effectiveness of the proposed BBCSC circuit, simulation results are presented in MATLAB/Simulink software.
Optimization of Heat Transfer Coefficient for Al2O3 (75%) CuO (25%) Water Hybrid Nanofluid using Taguchi
Authors:   Research Scholar, Department of Mechanical Engineering, JNTUH, Hyderabad (Telangana) India., Reddy K. Prashanth , Panitapu Bhramara ,   Professor, Department of Mechanical Engineering, JNTUCEH, Hyderabad (Telangana) India., Chilukuri Ramesh ,   PG, Department of Mechanical Engineering, GRIET, Hyderabad (Telangana) India., Karthikeyan R. ,   Professor, Department of Mechanical Engineering, GRIET, Hyderabad (Telangana) India., Kumar A. Kalyan ,   PG, Department of Mechanical Engineering, GRIET, Hyderabad (Telangana) India.
Published: January 2020

To have the maximum benefits of nanofluid for high heat transfer coefficient, like hybrid composite materials in the material’s revolution, the hybrid nanofluid was prepared and its performance was realized by experimentation. In this investigation, the prepared Al2O3 (75%)– CuO (25%) / Water hybrid nanofluid was used as a coolant for making pen barrel in injection molding machine. For experimentation, the three process parameters viz., Volume Fraction (VF), Volume Flow Rate (VFR) and Temperature (Temp) were controlled and optimized by using Taguchi’s L9 orthogonal array to yield the maximum heat transfer coefficient. To optimize it, total nine different experiments were conducted by controlling these factors. The considered all three parameters were kept three levels. Regression equation was established to predict heat transfer coefficient by incorporating independently controllable process parameters. Based on the optimization result, it was found that the high heat transfer coefficient was achieved at 0.2 %, 6 LPM and 35 °C of VF, VFR and Temp of hybrid nanofluid respectively.
Transformation of Public Administration Mechanisms: Experience of Uzbekistan
Authors:   professor, Doctor of political sciences, National University of Uzbekistan, Gaffarovich Muminov Alisher , Yorkulovich Mavlonov Djurabek ,   associate professor, Doctor of political sciences, National University of Uzbekistan,, Valievich Sokiev Khurshid ,   Doctoral candidate (PhD), National University of Uzbekistan,, Turgunovich Turgunov Azim ,   senior lecturer, National University of Uzbekistan.
Published: January 2020

Experts in the field of political research believe that computerization and the emergence of branched information systems require further improvement of the communication foundations of interaction between the subjects of the political process. This seems to be one of the strategic directions in the development of modern democracy. The growing interest in the field of political communications in social research is due to the fact that the development of political communications has significant potential for further democratization of socio-political institutions and processes in modern society. This article discusses the issues of transformation of the public administration system in Uzbekistan, the formation of effective mechanisms of "Electronic Government", the existing problems and prospects for the development of this sphere in Uzbekistan
Algorithm for Multi- objective Traveling Salesman Problems based on Modified Transitive closure
Authors:   Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai-603203, India., Karthy T. , Ganesan K. ,   Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur,Chennai-603203 , India.
Published: January 2020

One of the challenging facts of the Multi Objective Traveling Salesman Problem (MOTSP) is to find the best compromised solution. In this paper, we have proposed a modified transitive closure algorithm to solve MOTSP using Genetic Algorithm (GA). Modified Transitive Closure method generates all the initial solutions of each objective. By applying Genetic Algorithm (GA), compromised solutions are obtained. Numerical examples are provided to show the efficiency of the proposed algorithm for MOTSP
Meta-Heuristic Algorithm Optimized Fuzzy PID Controlled AGC of Three Area Power System
Authors:   Assistant Professor, Department of Electrical and Electronics Engineering, R. V. S College of Engineering, Tamil nadu, India., Arun B. , Manikandan B. V. ,   Senior Professor, Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Tamil nadu, India., Premkumar K. ,   Associate Professor, Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College, Tamil nadu, India.
Published: January 2020

The problem of automatic generation control (AGC) is a major concern in power utilities; it plays a major role of the complicated structure and dimension of the multi-area systems. Automatic Generation Control's main intention in the multi-area system is to maintain the frequency of each control area and remain the tie-line power flows within the many defined tolerance limits by modifying the Automatic Generation Control generators’ actual power outputs to accommodate the changing load requirements. Frequency control is accomplished through the primary control mechanism or the governor control mechanism. But the Area Control Error (ACE) always present in the system. The secondary controllers are surmounting this ACE to zero. The design tunes the controllers to enhance the better dynamic performance and stability of these eccentric conditions. The goal of this work is to diminish area control error, settle time, under-shoots and over-shoots of frequency divergence and net interchange tie-line error. Generally the gain values of the PID Control parameters obtain by tribulation and error technique and it need additional computation time. To reduce this obscurity of tuning of PID gains Evolutionary algorithm approach can be habituated to optimize the PID gains. Fuzzy – PID have been employed with different objective to enhance the efficient optimal solutions to the three area system. In this proposed study, GWO technique used to maximize Fuzzy-based PID controller's Proportional, Integral and Derivative gains in Three Area System.
Man in the Middle of Face Recognition System: using Skin Color and Template
Authors:   Assistant Professor, Department of CSE, University College of Engineering KU, Kothagudem (Telangana) India., Archana T. , Venugopal T. ,   Professor, Department of CSE, JNTUH College of Engineering Jagityal Nachupally, Karimnagar (Telangana) India.
Published: January 2020

During last 10 years people are very much attracted to face recognition systems and they are very much eager to solve the issues related to face recognition system. It helped them very much in the field of electronics and uses over pattern unlocking and password entering system. There are numerous applications as for security, affectability and mystery. Detection of a face is the most significant and initial step of recognition framework. This article demonstrates a new method to face recognition system using color and template of an image. Whatever the background it may go to be, our system will detect the face, which is an important stage for face detection. The pictures utilized in this framework for Face detection are the color images, while the images used for the Face Recognition are the Gray images which are converted from color pictures. The illumination compensation technique is applied on all the images for removing the effect of light. The Red, Green, and Blue values of each pixel will be converted to YCbCr space. Based on the probability of each pixel in terms of Cb, Cr values, we extract the skin pixels from the query image,. The positive probability shows a “skin pixel”, while the negative probability shows “not a skin pixel”. Finally the face is projected. In face recognition, we used 4 templates of different sizes for Gabor image content extraction. Finally we employed the relevance feedback mechanism to retrieve the most similar images. If the user did not satisfy with the given results he can give the correct images to the system from the displayed images. Exploratory outcomes demonstrate that the demonstrated system is adequate to recognize face of a human face in a picture with an exactness of 94%.
An Effective Classification of Citrus Fruits Diseases using Adaptive Gamma Correction with Deep Learning Model
Authors:   Research Scholar, Department of Computer and Information Science, Annamalai University, Chidambaram (Tamil Nadu) India, Senthilkumar C. , Kamarasan M. ,   Assistant professor, Department of Computer and Information Science, Annamalai University, Chidambaram (Tamil Nadu) India.
Published: January 2020

In farming sector, diseases affected in plants are mainly accountable for the minimized profit that leads to financial loss. In case of plants, citrus is utilized as a main resource of nutrients namely vitamin C globally. But citrus diseases greatly affect the productivity as well as quality. In recent days, computer vision and image processing approaches are commonly applied for detecting and classifying the plant diseases. This paper presents a novel deep learning (DL) based citrus disease detection and classification model. A new DL based AlexNet architecture is employed for effective identification of diseases. The presented model involves four main processes namely pre-processing, segmentation, feature extraction, and classification. Initially, pre-processing takes place to improve the quality of the image. Then, the Otsu method is applied to segment the images. Next, Alex-Net model is applied as a feature extractor. Finally, random forest (RF) classifier is used to classify the different kinds of citrus diseases. Besides, adaptive gamma correction (AGC) model is applied to improve the contrast of the applied citrus images. A comprehensive experimentation takes place on Citrus Disease Image Gallery Dataset. The results are examined under several cases and the outcome ensured the effective characteristics of the presented AGC-A model.
Improving Duty Cycle-based MAC Protocol in Wireless Networks using AI and Machine Learning
Authors:   Research Scholar, Deogiri Institute of Engineering and Management Studies, Aurangabad, Maharashtra, India., Ponde S. S. , Lomte S. S. ,   Director, Radhai Mahavidyalaya, Aurangabad, Maharashtra, India.
Published: January 2020

Duty cycle of a Medium Access Control (MAC) protocol is made up of sleep phase, wake-up phase and listen phase. MAC protocols usually proposes to optimize the duration of the wake-up and listen phases, in order to increase the duration of the sleep phase, thereby reducing the unwanted energy consumption of the wireless node. In this paper, we propose an Artificial Intelligence (AI) and machine learning (ML) based approach, which uses a hybrid combination of Time Division Multiple Access (TDMA), Bitmap Assisted MAC (BMA) and Sensor MAC (SMAC). The machine learning layer utilizes the duty cycle in the MAC layer, and generates multiple solutions for a given wireless communication. The AI layer then selects the best solution from the generated solutions by incorporating a duty cycle factor in the selection function, thereby optimizing the duty cycle of the protocol. The proposed system shows a 15% improvement in communication speed, and a 10% reduction in energy consumption across multiple communications. We plan to further extend this work for rural India, and apply it to real time agricultural applications.
Detection of Sentiment Analysis with Co-Occurrence Data using Supervised and Unsupervised Methods
Authors:   M.Tech Dept. of CSE, Chadalawada Ramanamma Engineering , College, Tirupati, India., Priya R.Madhu , Muneiah J.Naga ,   Head Dept. of CSE, Chadalawada Ramanamma Engineering, College, Tirupati, India.
Published: January 2020

With the rapid growth of user-generated content on the internet, sentiment analysis of online reviews has become a hot research topic recently, but due to variety and wide range of products and services, the supervised and unsupervised domain- specific models are often not practical. As the number of reviews expands, it is essential to develop an efficient sentiment analysis model that is capable of extracting product aspects and determining the sentiments for aspects. A text processing framework that can summarize reviews would therefore be desirable. A subtask to be performed by such a framework would be to find the general aspect categories addressed in review sentences, for which this paper presents two methods. In this paper, we propose an unsupervised model for detecting aspects in reviews. In this model, first a generalized method is proposed to learn multi-word aspects. Second, a set of heuristic rules is employed to take into account the influence of in opinion word ion detecting the aspect. In contrast to most existing approaches, the first method presented is an unsupervised method that applies association rule mining on co-occurrence frequency data obtained from a corpus to find these aspect categories. The proposed unsupervised method performs better than several simple baselines, a similar but supervised method, and a supervised baseline; the proposed model does not require labeled training data and can be applicable to other languages or domains. We demonstrate the effectiveness of our model on a collection of product reviews dataset, where it outperforms other techniques.