bluuebunny/crossref_metadata_2025 huggingface dataset:
Disciplinary Control System Based on Naïve Bayes Classification Technique using Jsp Servlets
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India., Roy Arpita , Parveen Nikhat ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India, Bhargavi P.Rama ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation ,Guntur, India, Navya A. ,   Department of Computer Science and Engineering,Koneru Lakshaiah Education Foundation, Guntur,India, Kumar A.Pavan ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India
Published: January 2020

The idea behind the task is to create the complaint about the student, who behaves mischievously in any circumstances by not following the dress code which includes things like identity cards, shoes, tuck especially for men, students should not carry mobiles to college if any person/student violates these rules then the disciplinary committee members have the authority to take off that particular student’s belongings (I.e. I’d card, mobiles). If that particular student caught more than one time for any condition then then the disciplinary committee will charge a fine and sometimes the mobile phones and I’d cards will be moved into locker (where they head of the committee members will have capacity to keep with them more than 3 days to 1 month, sometimes they will keep with them 1 year too. Students have to spend much time to take their belongings from the disciplinary committee members and also to take permissions, instead of that we are created a website and in that website students, disciplinary committee members including administrators can read, write, create and delete the comments that are created. From that data we can analyse in the way of plotting techniques and classification approach in which year students are not in discipline manner.
EEG Based Headband for Emotion Detection
Authors:   Department of Electronics and Communication Engineering, NIE Institute of Technology, Mysuru, India., S Spoorthy
Published: January 2020

EEG is the term used for recording the brain electrical activity. In Electroencephalography, the encephalon means brain. EEG measures electrical activity generated by thousands of neurons that exists in human brain. The brain electrical activity is measured in voltages. This paper is focused on recognizing emotion from human activity, measured by EEG signals. Making the computer more empathic to the user is one of the aspects of affective computing. With EEG-based emotion detection, the computer can actually take a look inside user’s head to observe their mental state. A low power, low noise and high sensitive analog signal from brain decoded into filtered digital output. The decoder picks a low amplitude and a microvolt signal from brain and decodes it into a filtered and amplified output. As of thelatestattentiongiving fromexaminationteam in creatingsensitivecommunicationamong human beings and peripheral device, the proof of identity of emotive state of the previousdeveloped a necessity. Electro-encephalography establishedimportantconsideration from scientists, becausethey establish modest, inexpensive, transportable, and easily solving theidentification of mind states in this paper.[2] In this paper, it provide a comprehensive overviewfrompresent works in emotion detection using EEG signals.
Design and Simulation of Spoon Shaped Antenna using DGS
Authors:   B.E., electronics and communication, ITM Gwalior., Kumar Vivek , Parsediya D.K. ,   Assistant professor, MITS Gwalior
Published: January 2020

A planer spoon shaped antenna with defected ground structure (DGS) is designed and fabricated for wireless application. The proposed antenna design exhibits 1.6GHz bandwidth, 2.20dBi Avg. Gain and maximum return loss of -24.5dB, which offers better results in wideband application. The Proposed antenna structure is simulated by software CST MWS (CST Microwave Studio) version 2018 and later comparison results are also presented
The Effect of the Hydrolyzates of Keratin- and Collagen-Containing Wastes of Poultry Processing in the Diets for Broilers on the Cecal Microbial Community
Authors:   Federal Scientific Center “All-Russian Research and Technological Institute of Poultry” of Russian Academy of Science, Sergiev Posad, Moscow Province, Russia., Fisinin Vladimir Ivanovich , Saleeva Irina Pavlovna ,   Federal Scientific Center “All-Russian Research and Technological Institute of Poultry” of Russian Academy of Science, Sergiev Posad, Moscow Province, Russia., Lukashenko Valery Semenovich ,   Federal Scientific Center “All-Russian Research and Technological Institute of Poultry” of Russian Academy of Science, Sergiev Posad, Moscow Province, Russia., Ilyina Larisa Alexandrovna ,   "Biotrof" LCC, St. Petersburg, Russia., Koshchaev Andrey Georgievich ,   Kuban State Agrarian University, Krasnodar, Russia., Lysenko Yuri Andreevich ,   Kuban State Agrarian University, Krasnodar, Russia.
Published: January 2020

The use of new protein-rich animal-derived ingredients in the diets for modern commercial poultry is an urgent problem for the researchers. The wastes of poultry slaughter and processing can be used for the production of concentrated feed-grade protein ingredients after the short-term and intense thermal treatment in the thin layer and subsequent enzymatic hydrolysis. These wastes contain primarily keratin and collagen. The aim of the study presented was the investigation of the effects of these hydrolyzates of keratin- and collagen-containing wastes in diets for broiler chicks on the cecal microbial community. The study was performed in the vivarium of All-Russian Research and Technological Institute of Poultry on four treatments (50 birds per treatment) of Ross-308 broilers reared on the floor to 38 or 49 days of age. Control treatment 1 was fed a diet with fishmeal (67% of crude protein) as a source of animal protein. Treatment 2 was fed the same diet with keratin-derived additive (85.7% of crude protein) as a substitution for the fishmeal; treatment 3 was fed the same diet as treatment 2 additionally supplemented with a probiotic containing live cultures of Bacillus subtilis, Lactobacillus paracasei and Enterococcus faecium; treatment 4 was fed the same diet as treatment 1 with a mixture of keratin- and collagen-derived additives (67.1% of crude protein) as a substitution for the fishmeal and the same probiotic as treatment 3. The qualitative and quantitative composition of cecal microbiota was determined via molecular genetic terminal restriction fragment length polymorphism (T-RFLP) technique. It was found that keratinand collagen-derived feed additives rendered no negative impact on the intestinal microbiota. Cecal concentrations of beneficial (normal) species in the treatments fed experimental diets were higher in compare to the control treatment.
An Energy Efficient Load Balancing Protocol for Multi-Hop Clustering in Wireless Sensor Network
Authors:   Assistant Director (Academic), Tamil Virtual Academy, Anna University Campus, Chennai, India., Jeyakarthic M. , Manikandan S. ,   Assistant Professor, Department of Computer Applications, Government Thirumagal Mills College, Gudiyattam, Vellore, India.
Published: January 2020

Cluster based WSNs is a rising and empowering technical knowledge with the achievable to revolutionize Data Communication Technology. The purpose of WSN stretch out to diverse areas such as the security and surveillance, Medical and Health, Military related application, Agriculture, Entertainment and so on. In wireless sensor networks (WSNs), the sensor nodes are highly distributed in order to sense and transform information to base station. However, the major challenge in WSN is to avoid collision and energy dissipation due to redundant data and thereby extending the network lifetime. To address this issue, a novel energy efficient load balancing protocol (EELB) for data forwarding in multi-hop clustering based WSN is proposed. EELB is a hierarchal cluster-based protocol which schedules the sensor nodes to different modes namely sleep mode and active mode by probing the data transformed to decrease energy consumption effectively. A sensor node is set to sleep mode when it senses and transfers redundant data for an extended time. The other sensor nodes remain enabled in active mode for sensing and transmission of data packets. Also, the proposed protocol selects a reliable cluster head based on remaining residual energy level and trust value of each node. The Simulation outcomes depicts that the proposed EELB protocol performs well than conventional protocol with respect to average energy consumption, lifetime of nodes and the Packet Delivery Ratio.
Multiple Fault Detection of Rolling Bearing through Ensemble Empirical Mode Decomposition of Vibration Signal
Authors:   Department of Mechanical Engineering, V B S Purvanchal University Jaunpur, Uttar Pradesh (INDIA), Singh Sandip Kumar
Published: January 2020

Generally, two or more faults occur simultaneously in the bearings. These Compound Faults (CF) in bearing, are most difficult type of faults to detect, by any data-driven method including machine learning. Hence, it is a primary requirement to decompose the fault vibration signals logically, so that frequencies can be grouped in parts. Empirical Mode Decomposition (EMD) is one of the simplest techniques of decomposition of signals. In this paper we have used Ensemble Empirical Mode Decomposition (EEMD) technique for compound fault detection/identification. Ensembled Empirical Mode Decomposition is found useful, where a white noise helps to detect the bearing frequencies. The graphs show clearly the capability of EEMD to detect the multiple faults in rolling bearings.
Development and Testing of Hydraulic ‘Bharath Valve’ to Control Multiple Actuators
Authors:   Dept. of Mechanical Engg. Rao Bahadur Y. Mahabaleswarappa Engg. College, Ballari., India., Swamy G Manjunath , Kumar G. R. Bharath Sai ,   Dept. of Mechanical Engg. Siddaganga Institute of Technology, Tumakuru, India., Veeresh K ,   Dept. of Mechanical Engg. Rao Bahadur Y.Mahabaleswarappa Engg. College, Ballari., India.
Published: January 2020

The Research is entitled “Design, Fabrication and Performance Testing of Directional Control Valve for Control of Multiple Actuators”. An indexing unit is a direction control valve used in Hydraulic system. This device shall be named ‘Bharath Valve’ (US10180190), as is the name of its Inventor. This valve can control more than one number of actuators. This valve consists of a hollow outer cylinder and inner cylinder. The inner cylinder fits in the hollow portion of outer cylinder; this inner cylinder is operated manually. The rotation of the inner cylinder inside the outer cylinder changes the direction of flow of liquid through the valve this control the movements of actuator. This Indexing valve can become a highly advantageous replacement of the conventional Spool valves that are used for controlling the actuator. In the present scenario one spool valve can control only one actuator thus the number spool valves used in a hydraulic system is equal to the number of actuators. However ‘Bharath’ valve can control more than one number of actuators, this in turn makes the number of system components less and also reduces the overall cost of hydraulic system. Even the controlling of movement of actuators can be easy. A computer interface if given can make this valve versatile and a very cheap alternative to the existing valves, taking number of components, construction, friction and efficiency into account. This research proves that ‘Bharath’ valve has more advantages than that of existing ones and some of the advantages are listed below,  One valve can control more than one actuators thus reduces the number of valves.  Construction of this indexing valve is simpler and parts involved in friction is less.  Reduction in the cost of manufacturing is highly significant.  This valve makes it possible to actuate the desired cylinder keeping the other at rest.  The modification in operating actuators of system can be easily changed by operating ON/OFF flow valve connected to the inlets of Indexing valve.
Reliability and Energy Efficiency of DEAR Protocol with Cooperative Caching in IEEE802.15.4 based large ubiquitous Wireless Sensor Networks
Authors:   Department of ECE, Integral University, Lucknow, India., Charan Piyush , Usmani Tahsin ,   Department of ECE, Integral University, Lucknow, India, Paulus Rajeev ,   Department of ECE, Sam Higginbottom University of Agriculture, Technology and Sciences(SHUATS), Allahabad, India., Saeed Syed Hasan ,   Department of ECE, Integral University, Lucknow, India.
Published: January 2020

Reliability and Energy Consumption issues in large ubiquitous Wireless Sensor Networks are a cause of concern especially because there is an inherent conflict between the two: an increase in reliability usually leads to an increase in energy consumption. Conversely, energy conservation has been a priority research concern in wireless sensor nodes. Data aggregation from various nodes and its transmission to the sink node through multiple hops which is important for network reliability increases the overall energy consumption in the network. Several schemes were proposed in the past to address the reliability needs and also to minimize the energy consumption in the network. In this context, this paper proposes a novel strategy for IEEE802.15.4/ZigBee based networks by incorporating a Distributed Energy Aware Routing (DEAR) protocol with a localized Cooperative Caching algorithm that addresses the query generated by a requester node or sink node with datum already existing in the locally available cache memory or in the memory of its one-hop neighbors or by the source node. The DEAR protocol considers battery level as a key factor to include nodes in its routing path. The proposed model is evaluated on the basis of three scenarios which were considered to illustrate the impact of energy consumption on the reliability of WSNs.
Application of Solar Absorption Refrigeration in Milk Pasteurization
Authors:   Research scholar at SVERI,s college of engineering Pandharpur, Maharashtra, India., Mitkari Sanjay , Ronge B P ,   SVERI,s college of engineering Pandharpur, Maharashtra, India.
Published: January 2020

Pasteurization coupled with refrigeration makes milk safe for human consumption and also extends the shelf-life of the milk. In a milk processing plant, hot water is used as heating medium and chilled water as cooling medium .In milk pasteurization heating and cooling process of milk was integrated by using plate heat exchangers known as regeneration section which saves 82.36% energy. Refrigeration plant for milk processing contributes approx. 30 % of total electricity load. This electricity load can be reduced by using vapor absorption refrigeration system (VARS) which requires heat input in the form of hot water. In the present study the VARS uses 1, 1, 1 tetrafluroethane (R134a) as refrigerant and n,n-dimethyl formamide (DMF) as absorbent. The COP of the system was obtained between 0.48 to 0.71 and refrigeration capacity varied from 0.69 kW to 2 kW. The absorption refrigeration system requires 1.4kW of hot water per kW of refrigeration capacity. Thus the integration of solar energy with absorption refrigeration plays important role in energy optimization and sustainable development in milk processing industry.
Fuzzy Logic Based Energy Efficient Mechanism for Dymo in Mobile AD HOC Networks
Authors:   Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India., Raju K.Narasimha , Suresh Koduru ,   SAP Labs Bangalore, India., Satish Dekka ,   Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India., Ganesh Pudi ,   Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India.
Published: January 2020

Mobile ad hoc network (MANET) attracted various researchers in the emerging communication networks without having any centralized structure. In this network, mobile nodes moves in their own wish creating a dynamic topology. Routing is a cumbersome task with this dynamic topology from time to time change in connection pattern. DYMO is emerged as challenging protocol in MANET but works on static configuration parameters such as Hello messages. The mobile device updates the connectivity of their neighbours by sending Hello messages at frequent intervals irrespective of the network scope (terrain) and network elements(number of nodes). As the mobile nodes are battery equipped devices, lot of energy is consumed with these messages. Energy efficient mechanisms are necessary in this type of networks. In this work, DYMOHBFLWTN mechanism is proposed to set the Hello parameter dynamically in DYMO considering network terrain and number of nodes utilizing fuzzy principles. Experiments are conducted on Qualnet 7.0 simulator to evaluate mechanisms - DYMOHBFLWTN and DYMO. The proposed DYMOHBFLWTN mechanism provides better results compared to existing DYMO.
Chronic Kidney Disease Diagnosis Model Based on Case Based Reasoning
Authors:   Lecturer, Software Engineering , Wolkite University, Wolkite, Ethiopia, Belachew Ermiyas Birihanu , Tamiru Hailemichael Kefie ,   Lecturer, Software Engineering , Wolkite University, Wolkite, Ethiopia
Published: January 2020

Provision of health care services is still a major challenge for developing countries. To mention some of the challenges: Lack of highly qualified medical human resources, financial as well as the ability of manage and transform scare resources to meet healthcare needs. In particular, In Ethiopia health care management related to the kidney disorder suffers from the following challenges: lack of highly qualified medical human resources, financial as well as the ability to manage and transform scarce resources to meet healthcare needs.On the one hand, Artificial Intelligence (AI) helps the medical sciences. Hence, in this paper we proposed a framework for CBR system to facilitate and support the diagnosis of chronic kidney diseases with domain expert’s advice. Interview and techniques have been employed on this study to acquire the necessary information required to develop intended CBR system. Finally, we evaluate the performance of the developed framework using recall and precision.
Design and Analysis of Higher Efficiency Non isolated DC-DC Converter for Electric Vehicles
Authors:   B.Tech, Department of Electrical and Electronics Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, AP, India., Keerthi K. , Sree Y. Bhavya ,   B.Tech, Department of Electrical and Electronics Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, AP, India., Teja S. Ravi ,   Asst. Professor, Department of Electrical and Electronics Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, AP, India., Reddy M. Sai Krishna ,   Asst.Professor, Department of Electrical and Electronics Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, AP, India., Jyothi B. ,   Professor, Department of Electrical and Electronics Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: January 2020

The design and analysis of higher efficiency non isolated DC-DC converter for Electric Vehicles is presented. A Battery Charging System (BCS) plays a key role in achieving fast charging and higher efficiency. The BCS integrates acascaded DC-DC converter and a bidirectional PWM converter. In order to achieve more reliability and stiff voltage, aCascaded buckboost converter which is partitioned with the help of a capacitor is integratedand to achieve higher efficiency with less number of switches, a bidirectional PWM converter used There are various PWM techniques, among them hysteresis and sinusoidal pwm technique are used. The output voltage obtained after both the operations (boost and buck) is given to the battery or load. Simulation is done in MATLAB and the results are analyzed with PI controller and without PI controller in this paper.
Impact of Improved Chicken Swam Optimization Based A algorithm In MANETs Routing
Authors:   Research Scholar, Department of CSE GIT, GITAM Deemed to be University, Visakhapatnam, India (Faculty Member Department of CSE, Lendi Institute of Engineering & Technology, Vizianagaram), Devi Gondi Yasoda , Rao Gurrala Venkateswara ,   Department of CSE, GIT, GITAM Deemed to be University, Visakhapatnam, India.
Published: January 2020

Wireless devices utilization had increased drastically, which has shown an impact on over-all demand and utilization Mobile Ad-Hoc Network (MANET). Routing protocol is the fundamental and vital performance factor in the Mobile Ad-hoc Network (MANET). The routing protocols in MANET are accomplished to handle a lot number of nodes with restricted resources. Multiple routing protocols exist in MANETs. Once of the main challenges in routing protocols is its generation of adverse influence on network performance. Accordingly, this paper plans to implement an obstacle-ware MANET routing model using improved meta-heuristic-based A* algorithm. The algorithm efficiently plots a path between multiple nodes avoiding obstacles, or points, on the graph that results in producing a shortest path without any obstacles. The improved meta-heuristic algorithm termed as Fitness and Position Ratiobased Chicken Swarm Optimization (FPR-CSO) is used to improvise the A* algorithm. The comparative analysis of different optimized A* over Ad hoc On-Demand Distance Vector (AODV) confirms the consistent performance of the proposed model.
On Rainbow Connection Number of Some Graphs
Authors:   BIHER, Chennai, India., Babu Shalini Rajendra , Ramya N. ,   BIHER, Chennai, India.
Published: January 2020

The Rainbow connection number for the following graphs, two copies of Fan graph by a path , Arrow graph and Θ , Jellyfish graph and Cycle Cactus graph have been described in this paper
Performance Assessment Techniques for the 3-Phase IAG
Authors:   Electrical Engg. Department, JCBUST, YMCA, Faridabad, Haryana., Boora Shakuntla
Published: January 2020

This manuscript covers the analytical and optimization based techniques for the performance assessment of 3-phase IAG furnishing 3-phase and 1-phase load. It examines initially the basic phenomenon of voltage build-up and then the steady state performance of 3-phase IAG furnishing 3-phase and 1-phase load. This preliminary study forms the foundation or basis of the design of future controllers. The conventional techniques and MATLAB based optimization technique fsolve is elaborated in detail along-with advantages and disadvantages for attaining the solution of simultaneous non linear equation. The fsolve technique is recommended for the solution of non-linear equations due to its advantages over conventional method.
A Framework for Secure Data Storage and Retrieval in Cloud Environment
Authors:   Department Of Computer Science & Engineering, N.B.N. Sinhagad College of Engineering, Solapur, India., Mithapalli Anita V. , Joshi Swati S. ,   Department Of Computer Science & Engineering, N.B.N. Sinhagad College of Engineering, Solapur, India
Published: January 2020

Plenty of research work is going on for efficient storage, processing, and analysis of large volume of data generated in real time and having varying nature and quality. The most common open-source framework for efficient computation of such large volume of data is Hadoop which processes big data sets by employing clusters of networked computers. On the other hand, cloud computing refers to storage of data and applications in cloud servers and accessing of the data of applications over the Internet following an on demand scheme. So the organizations who want to reduce costs and complexities associated with big data framework, the most suitable option for them is to take help of cloud infrastructure. But one biggest concern in this regard is the security of data and applications in cloud. Though Hadoop provides in-built encryption scheme and secured HTTP protocol, once data and applications are stored in public cloud, they become vulnerable to various security breaches still remain uncontrolled by the cloud service providers giving rise of a feeling of untrust. In this scenario, encrypting sensitive business data before cloud uploading may help in preventing access of data by evil intruders. In this paper, an extension to Hadoop security with respect to shared cloud has been proposed by designing a software framework where files are encrypted before uploading to cloud. Security performance of this framework for securing data in storage as well as in transit has been implemented such that without using the framework retrieval of data is not at all possible. Extra layer of security aided by symmetric key cryptographic technique has been proposed which will enhance the security of customers’ resources along with the present standard security measures of a cloud system. A software system performs symmetric encryption before transmitting a file of any format to cloud. To access this encrypted file, the same software system has to be used to download and decrypt the file. This paper also investigates the performances of most common symmetric key techniques AES, DES and triple DES cryptography with respect to the successful encryption of the customer data. This software framework can be applied to provide an extra security layer at the client’s end for users availing service of the cloud platform.
SM ARP Stochastic Markovian Game Model for Packet Forwarding Based ARP Spoofing Attacks Detection
Authors:   Research Scholar, School of Computer Studies, Rathnavel Subramaniam College of Arts and Science, Coimbatore, Tamilnadu, Divya C. , Christopher D Francis Xavier ,   Director, School of Computer Studies, Rathnavel Subramaniam College of Arts and Science, Coimbatore, Tamilnadu.
Published: January 2020

Address Resolution Protocol (ARP) spoofing attacks have become the most pivotal attacks in deteriorating the performance of computer networks. The objective of this paper is to develop SM-ARP, Stochastic Markovian game model based ARP spoofing attack detection scheme.Although many recent techniques have been developed to detect and protect against ARP spoofing attacks, the practical challenges has led to ineffective utilization. The major challenge is that the attackers employing ARP spoofing tend to alter the attack strategy at each point and increases the difficulty in detection and security implementations. The packet forwarding relaying is one suchattack strategy which is harder to detect using traditionally proven methodologies. This paper tackles the packet forwarding relay strategy based ARP spoofing attack strategy by using the proposed SM-ARPto eliminate the attack in a practically feasible manner. The proposed model utilizes a stationary Markov model for optimizing the packet forwarding behaviour of the networks. When an ARP spoofing attack is initiated, the SM-ARP model tracks the changes in the packet forwarding patterns through cache table and detects the misbehaviours. As a security measure, these misbehaved nodes are entitled to recovery and repair process to restore the network to stabilized state. Experiments are conducted to evaluate the performance of SM-ARP in an application for student marks management system. The results prove that the proposed SM-ARP model improves the detection of ARP spoofing attacks with accuracy of 88.2% and also reduces the complexity and errors.
Hybrid Scheduler (S_LST) for Soft Real-Time System based on Static and Dynamic Algorithm
Authors:   Department of Computer Engineering, Marwadi University, Rajkot, India, Teraiya Jay , Shah Apurva ,   Department of Computer Science and Engineering The Maharaja Sayajirao University of Baroda, Baroda, India.
Published: January 2020

In the Soft Real-Time System scheduling process with the processor is a critical task. The system schedules the processes on a processor in a time interval, and hence the processes get chance to executes on the processor. Priority-driven scheduling algorithms are sub-categorized into mainly two categories called Static Priority and Dynamic Priority Scheduler. Critical Analysis of more static and dynamic priority scheduling algorithms have been discussed in this paper. This paper has covered the static priority algorithms like Rate Monotonic (RM) and Shortest Job First (SJF) and the dynamic priority algorithms like Earliest Deadline First (EDF) and Least Slack Time First (LST). These all algorithms have been analyzed with preemptive process set and this paper has considered all the process set are periodic. This paper has also proposed a hybrid approach for efficient scheduling. In a critical analysis, it has been observed that while scheduling in underload situation dynamic priority algorithms perform well and even EDF also make sure that all process will meet their deadline. However, in an overload situation, the performance of dynamic priority algorithms reduce quickly, and most of the task will miss its deadline, whereas static priority scheduling algorithms miss a few deadlines, even it is possible to schedule all processes in underload situation, whereas in an overload situation, the static algorithms perform well compared to the dynamic scheduler. This paper is proposing one Hybrid algorithm call S_LST which uses the concept of LST and SJF scheduling algorithm. This algorithm has been applied to the periodic task set, and observations are registered. We have observed the Success Ratio (SR) & Effective CPU Utilization (ECU) and compared all algorithms in the same conditions. It is noted that instead of using LST and SJF as an independent algorithm, Hybrid algorithm S_LST performs well in underload and overload scenario. Practical investigations have been led on a huge dataset. Data Set consists of the 7000+ process set, and each process set has one to nine processes and load varies between 0.5 to 5. It has been tried on 500-time unit to approve the rightness everything being equal.
The Effect of the Smart Navigation System Based on Augmented Reality
Authors:   Assistant Professor, Faculty of Science and Technology, Suan Sunandha Rajabhat University. Thailand., Kularbphettong Kunyanuth , Singkoo Ausanee ,   Developer of AIS Company., Waraporn Phanu ,   Lecturer, Computer Science Program, Faculty of Science and Technology, Suan Sunandha Rajabhat University. Thailand.
Published: January 2020

Currently, virtual technology is applied to everyday life. AR (Augmented Reality) has widely become a challenger technology that brings virtual 3D images into the real world through a camera. Augmented Reality is a technology that brings virtual images that is a 3D model simulated into the real world through cameras and processing that brings objects to overlap into one image and AR can help people to understand the content easily. Hence, in increasing the efficiency of services and publicizing various information, this paper presents the smart navigation system using augmented reality based on a smartphone in the case study of Benjakitti Park, Thailand. The application can navigate users to the POI destination and the system based on mobile devices is composed of two parts: the navigation application and the bone collector game. This project produced user satisfaction at a good level and the proposed application was able to support the significant information for navigation in aspects of performance, usability, and effectiveness.
Plant Disease Diagnosis and Classification by Computer Vision using Statistical Texture Feature Extraction Technique and K Nearest Neighbor Classification
Authors:   Research scholar in Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai. She is currently Utility Analyst at Fidelity National Information Services, Durham, NC, USA, Gangadharan Kapilya , Kumari G. Rosline Nesa ,   Professor in the Department of Computer Science and Engineering, in Shadan women‟s college of Engineering and Technology, Chennai, India, Dhanasekaran D. ,   Professor in the Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India, Malathi K. ,   Associate Professor in the Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India
Published: January 2020

Pest attack and infectious diseases has become more common in the field of agriculture in the recent times. It has become a challenging task to identify the infection or the insect that destructs the plant growth and production. Diagnosing the disease or the insect attack on the plants in the early stage will safe guard the plant growth and the production rate. Timely intervention of technology that deals with disease detection and control method can protect the plants from usage of harmful pesticides. The higher dosage of pesticides impacts the health of human as well as other creatures like birds and animals which directly or indirectly consumes the plant or get in touch with the plants in different circumstances. A Computer vision technique which combines the Digital Image processing and Machine Learning methodology has been proposed to provide pest management solution. The disease detection is based on the statistical texture feature analysis and it is classified using K nearest neighbor classifier. Statistical PCA is combined with SIFT method to extract the key points, which eliminates the non-operational key points and SFTA is used to extract the texture. The system has achieved better result in identifying and differentiating the infection and insect attack on multiple plant taxonomy. The implementation has been performed using MATLAB.
Improving the Efficiency of Solar Photovoltaic Cell by Decreasing Surface Temperature
Authors:   Professor, EEE, Vardhaman College of Engineering,, Jaiganesh K. , Arulkumar P. ,   Professor/EEE, Balaji Institute of Technology and Science, Karunakaran S. ,   Professor, ECE, Vardhaman college of Engineering,, Asif Md. ,   Associate Professor/EEE, Vardhaman College of Engineering., Srinivas N. ,   Asst. Professor/EEE, Vardhaman College of Engineering
Published: January 2020

Supply of energy is able to meet the increasing demand of today’s people, which is major causes faced by world. The shortage of power can be reduced by using renewable energy resources. There are many renewable energy resources like wind, tidal and biomass energy, solar energy. The mostsignificant form of renewable source is solar energy. It has undergone a research and development in the recent years and still it is developing. Solar photovoltaic cell is device used in solar energy conversion. It converts forthrightly electrical energy from the sunlight. The efficiency of PV cell is disturbed when rise in working temperature. Temperature on the panel is inversely proportional to the power generation. The main problem met by solar cell is temperature rise. Due to this temperature the energy conversion is low. By decreasing the temperature on the surface of PV panel to enhance the electric efficiency. So, in present-day different cooling methods have been projected and verified experimentally. Several techniques have been tried, mostly based on active water and air cooling, as these are simple techniques. The main objective of this system is to increase the solar panel efficiency using water cooling method of the panel gets cooled by exchange temperature.
Inquisition on Cost & Time Overrun in Road Construction Projects in Kashmir
Authors:   Professor and Head of Department of Civil Engineering RIMT University Punjab India., Bashir Amir , Singla Sandeep ,   Assistant Professor, Department of Civil Engineering, RIMT University, Punjab, India, Kaushal Manish ,   Department of Civil Engineering, RIMT University, Punjab, India.
Published: January 2020

The success of the project is generally acknowledged by the fact whether the project is completed within the time and budget. There are many challenges in this for completion of project within time and budget, this result in poor performance of project often. The construction cost and time overrun is most substantial problem in Jammu and Kashmir. This problem is faced by all parties like contractors, clients, subcontractors and suppliers. The aim of this research study is to find out factors that leads to cost and time overrun in road construction projects in Jammu and Kashmir. The results of this research shows the key factors that cause cost and time overrun in road construction projects in Jammu and Kashmir are Land acquisition problems, payment delay for completed work, delay in shifting of utilities inclement weather conditions, Security situation, design changes during construction, Lack of modern technology and market inflations
Transient Response of Glycerin Heating Process
Authors:   Faculty of Electrical Engineering, Universiti Teknologi Mara, Shah Alam, Malaysia., Janin Zuriati , Kaidi Hazilah Mad ,   Razak Faculty of Technology and Informatics, Universiti Teknologi, Malaysia, Kuala Lumpur, Malaysia., Ahmad Robiah ,   Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.
Published: January 2020

Controlling the temperature of the glycerin purification process system was not an easy task, as an increase in operating temperature would significantly reduce the quality of the purified glycerin. This is because an unlimited increase in temperature beyond the set point and an excessive prolongation of the heating process would result in the formation of an excessive secondary oxidation product in the final purified glycerin. This paper discusses the transient response characteristics of the glycerin heating process using a parallel PID controller. The glycerin heating process behavior was determined experimentally using step input test and modelled as the First Order plus Delay Time. The controller parameters wereadjusted using Ziegler-Nichols, Cohen-Coon and Wang tuning methods, each of which was analyzed on the basis of the corresponding integral error criterion value. The Integral Square Error, Integral Absolute Error and Integral Time-weighted Absolute Error criteria value were used to evaluate the efficiency of the glycerin heating process. The transient response performances in terms of overshoot, rise time and settling time were also evaluated. Simulation work has shown that the process has experienced high overshoots for Ziegler-Nichols and Cohen-Coon, and has taken longer time to settle. Wang method exhibits with no overshoot but slow response. The lower gain PID controller was found to improve the process response in terms of overshoot but increase in the rise time and settling time. The results indicate that the desired process performance were more or less influenced by the interaction between the tuning parameters. The Ziegler-Nichols PID controller is not recommended for controlling glycerin heating process due to process response oscillations that are difficult to eliminate without prolonging the heating cycle.
Characterization of Al-SiO2 Composite Material
Authors:   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai-600044. India., Kumar S. K. Dinesh , Saravanan A. K. ,   Department of Mechanical Engineering, Rajalakshmi Institute of Technology, Chennai, India, Pradhan Raghuram ,   Department of Mechanical Engineering, Pace Institute of Technology and Sciences, NH-5, Near Valluramma Temple, Ongole, Andhra Pradesh-523272, India., Suresh Ramya ,   Department of Mechanical Engineering, Easwari Engineering College, Chennai - 600089, India., Senthilnathan K. ,   Department of Mechanical Engineering, Easwari Engineering College, Chennai - 600089, India.
Published: January 2020

The present investigation centers at assessing the mechanical properties of Aluminum within the sight of Silicon di-oxide, and their blends. The creations were signified the necessary level and mix throwing technique was utilized for the improvement of Aluminum Metal Matrix Composites. Basic portrayals were done on Metal Matrix Composites by X-beam diffraction techniques and Field Emission Scanning Electron Microscopy (FE-SEM) was utilized for the miniaturized scale basic examinations. The tests for mechanical properties of metal lattice composites like tensile quality and Hardness were done. Within the sight of Silicon di-oxide (0-10%) with Aluminum grid, it was clear that the densities of the composites were diminished and the hardness was expanded. Correspondingly, a decline in rigidity additionally had been seen with decline in support in the Metal Matrix. The SEM examination completed for contemplating the Material Morphology has likewise been emerged in this investigation.
Safe Path Planning of Mobile Robot in a known Dynamic Environment
Authors:   Department of ECE, Sharda University, Greater Noida (Uttar Pradesh) India., Mujtaba Hasan , Singh Gajendra ,   Professor & Dean Academic, ABESEC Ghaziabad (Uttar Pradesh) India., Gupta Pallavi ,   Associate Professor, Department of ECE, Sharda University, Greater Noida (Uttar Pradesh) India.
Published: January 2020

Path planning in mobile robot navigation is an advanced method of calculating the safe and obstacle free path in static and dynamic environments are involved between source point to destination. Real time path planning method defines that how a robot can make a decision when some unknown obstacle gets encountered in the path of navigation for a dynamic situation. At the point when an obstruction comes in the way of route, the robot must choose another and safe way to advance towards the objective by evading any impact. This study is focused on exploring the algorithm that gives the safe and shortest path when an obstacle changes the environment. By using A* algorithm in MATLAB simulation the probability of collision with obstacle and robot get increased. In this simulation work a new approach of path planning has been found by placing the virtual obstacles in the environment. A new obstacle get influence in the path of navigation, using virtual obstacle boundary around the new obstacle a short and safe path get evaluated which is collision free or low risk path . The purpose for this paper is to create a dependable and smooth direction in a real time domain with impediments and to manage the robot towards the target without hitting the obstacles also considering the size of the robot.
A Novel Clone-Based Reuse Method to Maintain Proficiency in Software Engineering Practice
Authors:   Dept. Of Computer Science And Engineering, Kcg College Of Technology, Chennai, Rajakumari Kavitha Esther
Published: January 2020

The source code of an application paves way for a quality software product. Quality software in-turn helps in imposing software reuse. In this paper, pieces of similar codes also known as code clones or code duplications are considered as reusable software components. In general code clones are considered harmful in software engineering practice. They are considered to degrade the quality of software. Code clones are detected and removed without further processing. In this paper, a token- based CodeClone reuse method is proposed to detect type1 and type-4 clones. Positive effects of clones are analyzed and beneficial clones are extracted from the cluster of clones detected. The proposed method aids in the art of developing software thereby enforcing the concept of software reuse. The working principle of the proposed method is implemented using open source software as inputs. Beneficial clones are further stored in a database for future use. Clone report is generated as it assists in knowing about the clone details within a software system.
A Secured and Scalable Battle-Field Surveillance using WSN Multicasting
Authors:   Assistant Professor, Vignan Institute of Technology & Science, Hyderabad (Telangana) India., Vikram G. Raja , Chatrapati K. Shahu ,   Professor and Head, Department of Computer Science and Engineering, J.N.T.U.H College of Engineering, Manthani (Telangana) India., Krishna A. V. N. ,   Professor, Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore (Karnataka) India.
Published: January 2020

Real-time Battle-field surveillance using Wireless Sensor Network (WSN) is a challenging task. It demands periodic sensing, run-time decision making, and fast signal processing and high data precision. WSN for battle-field monitoring is a collection of in-expensive sensor devices capable of sensing sound and signals generated by objects. An Efficient utilization of limited resources is need of the hour in these applications. Sensor nodes must be highly dynamic in sensing and sending accurate data securely to the control centre. In this paper, The authors propose a secured and scalable mechanism to sense war field and report any intruder movement with accuracy. The Proposed approach performs better in terms of network lifetime, security and accuracy.
Ensemble Learning Technique for Cloud Classification
Authors:   Department of Communication, School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, India,, Kumthekar Aarti , G Ramachandra Reddy ,   Senior Professor, Department of Communication, School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, India,
Published: January 2020

Automatic cloud classification is one of the important areas of remote sensing for metrological applications. Machine learning and deep learning techniques have been used for automatic classification of the cloud type. Several pretrained models are developed using convolutional neural network (CNN), which is part of deep learning. The classification performance of pretrained networks can be further improved using ensemble methods. Ensemble learning can perform better than single learner. In this paper, we proposed two different ensemble learning techniques: ensemble of CNN and ensemble of classifier. In first approach, CNN ensemble is performed, where the features extracted by two or more CNN are combined together using single classifier. The second method is to ensemble the predictions of different classifiers produced by a single or multiple CNN. The accuracy of cloud classification of the proposed methods has improved compared to without ensemble of pretrained networks.
High Performance Energy Efficient Computation Elements of Processing Unit
Authors:   Assistant Professor, DMNE, SENSE, Vellore Institute of Technology, Vellore (Tamil Nadu) India., Rengasamy Dhanabal , N. Ramakrishnan V. ,   Associate Professor, DMNE, SENSE, Vellore Institute of Technology, Vellore (Tamil Nadu) India.
Published: January 2020

in our manuscript, various circuits for arithmetic summation are compared. Cadence 90nm technology and Quartus II EP2C20F484C7 are used for implementation of design. Logic gate-based adders, PFCA, TG and HSD technique-based adders characteristics are analyzed. Y finding is PFCA with 10T transistor performs slightly efficient compare to its counterpart. Exclusive OR-NOR design is optimum for least delay Adders for high performance energy efficient processing unit.