bluuebunny/crossref_metadata_2025 huggingface dataset:
Artificial Intelligence and Agriculture 5. 0
Authors:   VIT Business School , Vellore Institute of  Technology , Chennai , India, Murugesan Rajkumar , Kidambi Dr. Sudarsanam ,   VIT Business School , Vellore Institute  of Technology , Chennai , India, G Dr. Malathi ,   Associate Professor, School of Computing Science and  Engineering, Vellore Institute of Technology, Chennai Campus, Varadarajan, Dr. Vijayakumar ,   VIT Business School , Vellore  Institute of Technology , Chennai , India, Neelanarayanan Venkataraman ,   VIT Business School , Vellore  Institute of Technology , Chennai , India, Rajaraman Mr. Venugopal ,   VIT Business School , Vellore Institute  of Technology , Chennai , India, Rekha Dr. D. ,   VIT Business School , Vellore Institute of Technology  , Chennai , India
Published: August 2019

Use of Artificial Intelligence and Robotics in agriculture is called as Agriculture 5.0 Disruptive technology should help in solving the social needs . Rogers suggest to develop human centric “ Ubiquitous Computing ” solution , for specific domain (agriculture production). Crop yield prediction (CYP) is vital to address the ever growing demand of food requirements of burgeoning world population and to prevent starvation . Artificial Intelligence can offer effective and practical solution for the problem. Machine Learning ( ML ) and Deep learning ( DL) have been evaluated. Machine Learning models ( using python , R , Seaborn ) have been experimented in this paper. Data of crop yield is used for model evaluation , which includes horticultural product (Banana) , cash crop ( Sugarcane), food crop (Rice) , for kharif , rabi season ( Dataset of Tamil Nadu and US region); Future research could combine remote sensing data and machine learning to predict the yield ( using google earth engine). Better accuracy in crop prediction is possible when vital data like soil moisture content ( ground level, root level and extreme ends of the field), 14 micro nutrients of soil is made available , for many seasons.
Heat Transfer and Fluid Flow Analysis on Microchannel Heat Sink with Varying Plenum Size
Authors:   Research scholar, Mech. Engg. Deptt. Chandigarh  University, Gharuan, Mohali 3 Fludus Engineering, India, Bansal Naveen , Singh Sehgal Satbir ,   Professor, Mech. Engg. Deptt. Chandigarh  University, Gharuan, Mohali 3 Fludus Engineering, India, Singh Manpreet ,   Director, Mech. Fludus Engineering, India
Published: August 2019

Computational fluid analysis study has been carried out to find a better prospect of perfect design, shape and plenum size microchannel heat sink (MCHS). Distinctive structure parameters were chosen to plan microchannel heat sink with shifting channel planum sizes of 10 mm, 20 mm and 30 mm. The material taken of circle type heat sink is taken as copper. The liquid taken is plane fluid. Amid liquid stream distinctive speed stream states of significant worth 0.25 lpm, 0.50 lpm and 0.75 lpm were chosen. In computational liquid examination changing weight, temperature and speed conditions impacts were additionally contemplated. Huge weight drop is recorded in the speed rating of 0.25 lpm. Speed readings were recorded high en 30 mm plenum estimate with 0.75 lpm speed stream. Investigation gives thought of an ideal structure fit as a fiddle with stream of liquid at 0.75 speed stream. The stream space were understood utilizing ANSYS programming as economically accessible for CFD examination. A special plan is set up from the examination which can exchange extensive measure of warmth in the state of microchannel heat sinks with microchannel length of 48 mm long and with other chose structure paramters. To accomplish more warmth expulsion from the MCHS the microchannel estimate upgrade is done diagnostically. For ordinary convective warmth trade coefficient, outlet temperature, grinding and weight drop, siphoning power and warm impediment have been plotted against Nusselt number qualities for various stream conditions. By settling the correct control of the liquid stream and warmth exchange propensity of a 3- dimensional MCHS has been accomplished computationally
Design, Development and Numerical Experiments of Compliant Anchor Mechanism for Clamping Purpose - A Topology Optimization Method
Authors:   Technical Leader, Brakes India Private Ltd, Polambakkam, 603309, Tamilnadu, India., Premanandand S. , Arunkumar Dr.G. ,   Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, 600119, Tamilnadu, India.
Published: August 2019

In the present scenario, every industry focusses mainly on the reduction of wastes. Because waste or scrap plays a major part in the economic status of an industry. It also involves the wastage of time, man power, machine power, raw material, electricity etc.Compliant Anchor mechanism is a flexible mechanism that transfer an input force and displacement at one part to an output force and displacement at another part through elastic body deformation. These may be monolithic (single-piece) or joint less structures.This paper elucidates a Compliant mechanism-based part i.e. Compliant Anchor is designed and numerically analyzed for its mobility, strength and durability with various material characteristics. This Compliant Anchorstructure is designed and developed as such Rigid bodiesapplication. Compliant Anchor is précised and exhibits Larger displacement at its wings with smaller strain.In this work the Compliant Anchor is suitably designed based on rectangular slot hole domain in a work piece to clamp the work piece rigidly(Cases- application)in its surface, For that purpose various material characteristics chosen for design and development, The deformation study of the compliant anchor with various material characteristics analyzed through numerical analysis and The final topology optimized design is taken for development in 3D printing technology, This design can be used for various clamping applications suitably based on deformation level and application of external force.
Development of A Process for Predicting the Overall Heat Transfer Coefficient for Transient Heat Transfer in An Exhaust System using CFD
Authors:   Department of Applied Engineering, Vignan’s Foundation for Science, Technology and Research University, Vadlamudi, India., Reddy B. Anitha , Babu B. Harish ,   Department of Applied Engineering, Vignan’s Foundation for Science, Technology and Research University, Vadlamudi, India., Babu G. Chitti ,   Department of Mechanical Engineering, Vignan’s Foundation for Science, Technology and Research University, Vadlamudi, India., Chandrakala B. ,   Department of Automobile Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India.
Published: August 2019

The analysis of heat transfer of automotive exhaust system is most important since their prominence in the design and also in the optimization phase of exhaust after treatment system.This paperdeals with the process which can be useful to predict the overall heat transfer coefficient for the transient flow of pipe in the after treatment system. This considers the convection of heat along gas flow, the convection between gas and wall, conduction through wall, radiation and of course convection to the ambient. Governing equations are obtained for the transient flow in a pipe for calculating gas temperature and wall temperature at distance x and time t. Analytical solution will be computed using CFD techniques for these governing equations. From the obtained analytical solution to the transient flow in pipe an excel tool will be developed which can be able to give the outlet temperature of the pipe in transient flow at length x and time t, total heat loss from pipe to the ambient, overall heat transfer coefficient for the pipe.
Developing Synergies in the Pharmaceutical Sector: M&A Activity post 2005
Authors:   Symbiosis Institute of Business Management, Symbiosis International (Deemed) University, Pune, India., Gopalkrishnan Dr. Santosh , Aggarwal Parth ,   Credit Manager – Mid Corporates, ICICI Bank., Balabhadra Nehachandra ,   Asst. Relationship Manager, ICICI Bank.
Published: August 2019

Mergers and acquisitions (M&A) are inorganic growth strategies which have their importance in the present corporate world because of the prevailing stringent business conditions. In the current globalised economy, M&As are progressively utilised for enhancing the intensity of pharmaceutical firms through the rise of their market share in the industry, widening of product portfolio to enter new markets and geographies (competitive advantage) and reaping benefits through enhanced economies of scale. A strong and developing domestic market, a substantial pipeline of generic medicines and a capacity to service established markets abroad have swiftly made the Indian pharmaceutical companies most sought-after in the M&A space. This paper analyses the performance of M&A activities in the pharmaceutical space in India. It aims to consider the pattern in M&A across pharmaceutical companies in India, especially during the period 2005–2017 through a pre-merger and post-merger analysis. The paper performs a pre and post-merger comparison of 4 most crucial M&A deals in the Indian pharmaceutical landscape through metrics like ratio analysis, share price performance (accretion or dilution in case of listed companies) and synergy benefits from the point of view of the target as well as the acquirer and the combined entity as a whole.
A Machine Learning Practice on NAS Dataset: Influence of Socioeconomic Factors on Student Performance
Authors:   (MTech), Department of CSE, G. Pulla Reddy Engineering College, Autonomous, Kurnool., Swetha Kotrike , Rahaman M. Imtiaz Ur ,   Associate Professor, Department of CSE, G. Pulla Reddy Engineering College, Autonomous, Kurnool.
Published: August 2019

India’s population is enormous and diverse due to which its education system is very complex. Furthermore, due to several reasons that they have grown up in different environmental situations. Over the years, several changes have been suggested and implemented by various stakeholders to improve the quality of education in schools. This paper presents a novel method to predict the performance of a new student by the analysis of historical student data records, and furthermore, we explore the NAS dataset using cutting edge Machine Learning Algorithms to predict the grades of a new student and take proactive measures to help them succeed. Similarly, NAS Dataset can also be worthwhile to the employee dataset and can predict the performance of the employee. Some of the Supervised Machine Learning Algorithms for Classification which have been successfully applied to the NAS dataset. Support Vector Machines and K-Nearest Neighbours algorithms did not crop results in coherent time for the given dataset; Gradient Boosting Classifier outperformed than all other algorithms reliably.
Automated Algorithm for Accurate Doppler Profile Detection of MST Radar Signals Considering Removal of Interference
Authors:   Professor of ECE, Center for Communication and Signal Processing, Sree Vidyanikethan Engineering College, Tirupati., Padmaja N. , Rani D.Leela ,   Professor of ECE, Center for Communication and Signal Processing, Sree Vidyanikethan Engineering College, Tirupati, Bharathi M. ,   Assistant Professor of ECE, Center for VLSI & Embedded Systems, Sree Vidyanikethan Engineering College, Tirupati.
Published: August 2019

Identifying the accurate radar echo returns from the MST (Mesosphere-Stratosphere–Troposphere) region poses serious challenges, as the radar echo signals are of very low amplitude and hidden in noise. The process of extraction of the relevant signal information becomes intricate when the spectra sometimes are infected with interference signals of non-atmospheric origin. An automated algorithm is suggested for eliminating the interference bands in the Doppler spectra of MST radar signals. The process of removal of interference and de-noising of the radar echoes using soft thresholding techniques was achieved simultaneously. The algorithm was practically applied to interference contaminated MST radar data taken from National Atmospheric Research Laboratory (NARL), Gadanki, Tirupati and studied for removal of interference bands. It was found that the projected algorithm effectively removes multiple interference bands and also improves signal detectability. The power and Doppler values (moments) are estimated using FFT and HHT (Hilbert Huang Transform) and median Doppler is plotted on Doppler power spectrum and compared.
Low-Power Adiabatic Computing with Modified Quasi Static Energy Recovery Logic of MQSERL 4x4 multiplier
Authors:   Dept. of Electronics and Communication, CMS College of Engineering and Technology ,Coimbatore,India., M Mayilsamy , K Srinivasan ,   Dept. of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore, India., Sharmila Dr.B. ,   Assistant Professor (Sr.G) in the Department of Electronics and Instrumentation Engineering at Sri Ramakrishna Engineering College, Coimbatore
Published: August 2019

This work depends on another methodology for limiting vitality utilization in semi static vitality recuperation rationale of Modified Quasi Static Energy Recovery Logic (MQSERL) circuit which includes enhancement by expelling the non-adiabatic misfortunes totally. Vitality recouping hardware dependent on adiabatic standards is a promising system driving towards low power superior circuit plan. The productivity of such circuits might be expanded by lessening the adiabatic and non-adiabatic misfortunes drawn by them amid the charging and recuperation tasks. In this paper, execution of the proposed rationale style is broke down and contrasted and CMOS in their agent inverters, entryways, flip- flop and snake circuits. Every one of the circuit was reproduced by test system of TANNER TOOL in 0.18μm innovation. In our proposed inverter the vitality proficiency has been enhanced to practically 30% and 20% up to 20MHz and 20fF outside load capacitance in contrast with CMOS and MQSERL circuits individually. Our proposed circuit gives vitality proficient execution up to 100 MHz and in this way it has ended up being utilized in superior VLSI hardware.
An Integrated Way for Teaching Hadoop & BigData Analytics Course
Authors:   Associative Professor in CSE, Department,Vignans Institute of Information Technology,Visakhapatnam., Lydia Dr. E Laxmi , Sharmili Dr.N. ,   Associate Professor in CSE Department, Gayatri Vidya Parishad College of Engineering for Women, Viskahpatnam, Andhra Pradesh,India., Madhusudhanarao Dr. T V ,   Professor in CSE Department,Vignans Institute of Information Technology,Visakhapatnam., Chevuru Madhu Babu ,   Asst. Professor,Department of Computer Science Engineering,VFSTR deemed to be University., Kumar K.Vijaya ,   Associate Professor, Department of Computer Science Engineering, Vignan's Institute of Information Technology for Women, Andhra Pradesh, India.
Published: August 2019

Hadoop &BigData Analytics course has occupied a ubiquitous role in present software technologies. Educational institutes are fond of this course as it’s been trending course most of the placements in software companies are based on. As per the traditional teaching mechanisms, the educational systems are not much up- to- mark where the students are not assisted with the course resulting in atrocious placements. Therefore to enhance this placements, institutions has to adopt a new integrated teaching- learning proceedings which help in drastic change of academic results discussed in this paper. Here the result analysis of course attainments are compared to show the eye-catching improvements as occurred in VIIT College.
CONNEKT: Co-Located Nearest Neighbor Search using KNN Querying with K-D Tree
Authors:   Department of Computer Science, Pondicherry University, Puducherry, India., Sharmiladevi S. , Sathya S. Siva ,   Department of Computer Science, Pondicherry University, Puducherry, India., Kumar Naveen ,   Department of Computer Science and Engineering, KL University, Guntur , India.
Published: August 2019

Data about entities or objects associated with geographical or location information could be called as spatial data. Spatial data helps in identifying and positioning anyone or anything globally anywhere across the world. Instances of various spatial features that are closely found together are called as spatial co-located patterns. So far, the spatial co-located patterns have been used only for knowledge discovery process but it would serve a wide variety of applications if analyzed intensively. One such application is to use co-location pattern mining for a context aware based search. Hence the main aim of this work is to extend the K-Nearest Neighbor (KNN) querying to co-located instances for context aware based querying or location-based services (LBS). For the above-said purpose, co-located nearest neighbor search algorithm namely “CONNEKT” is proposed. The co-located instances are mapped onto a K-dimensional tree (K-d tree) inorder to make the querying process efficient. The algorithm is analyzed using a hypothetical data set generated through QGIS.
Stress Coping Strategies of Chronic Drug/Alcohol Users: A Case of Rural India.
Authors:   Assosiate professor, Department of PhD, Lovely Professional University, (Punjab) India., Bhalla Dr. Pretty , Nazneen Dr. Afroze ,   Department of PhD, University of Jeddah, Jeddah, Makkah, Saudi Arabia.
Published: August 2019

India is a developing country, which is bifurcated into Rural and Urban India. Strong contrast can be seen in environmental development and thought process of individual dwelling in these areas. The current study aims to reflect the real and worrisome situation of rural parts of this country where the conditions are becoming more horrid because of free availability and consumption of Drugs and alcohol. This research suggests some measures to eradicate the mentioned conditions.
Priority towards Subjectiveand Experimental Framework inTeaching-Learning Process inEngineering Education forMillennial Learners
Authors:   Professor, Department of Computer Science Engineering, Vignan's Institute of Information Technology,Andhra Pradesh, India., Lydia E. Laxmi , Arundhati Dr.B. ,   Professor,Department of EEEVignan's Institute of Information Technology(A),Visakhapatnam, Andhra Pradesh, India., Rao Dr. V. Madhusudhan ,   Dean, Engineering & Management,Vignan's Foundation for Science, Technology & Research University,VADLAMUDI
Published: August 2019

From the time of 20thcentury, the world has undergonecomplete change in the field of Engineering Education. Learning environment in Educational systemofMillennial's, for very short concentratedpeople who prefer interactive, experiential and collaborative learning,usually they are informal and choose to have friendly relationships with teachers. Educational system in engineering classes for such Learners with dynamic and technology driven people do not prefer long lectures anymore. The design objective is to understand the cognitive and social developments in easier way that outcome in faster learning, and also to redesign classrooms and other learning environments. So that Learners can learn more passionatelywith completeness in the topic/ subject and to make them self Learners.This paper provides a meaningful teaching objective that relates with real-life experiences, Lectures mixed up with methods like video clips, concept charts, and PowerPoint presentations with key concepts based on the summary, also creating collaborative subjective experiences with social networking platforms.Finally, this paper concludes bydiscussing the experiments being applied in our institution (VIIT) to make engineering education practicalby means of experimental learning.
Improvising Reliability and Security in Multiple Relay Network using Optimal Scheduling
Authors:   Associate Professor, Department of Computer Science and Engineering, K.L.N. College of Information Technology, Pottapalayam, Tamilnadu, India., Subhashini Dr.S.J. , Stalin Dr.B. ,   Assistant Professor, Department of Mechanical Engineering, Anna University, Regional Campus Madurai, Madurai-625 019, Tamilnadu, India., Vairamuthu Mr.J. ,   Research Scholar, Department of Mechanical Engineering, Sethu Institute of Technology, Kariapatti, Virudhunagar Dist., Tamilnadu, India.
Published: August 2019

In the real-time scenario involving wireless sensor networks, the data forwarding and data gathering procedures are taking place from the remote environment. With the involvement of heterogeneous architecture and multi-hop data transmission paths, there lies a serious threat for secured data communication. There may be chances of data attacks either from the inside intruder or from the external intruder. The problem of data flow attack by adding malicious information, viz. Data injection attack and outside arbitrary attack, viz. Byzantine attacks are found to be more dangerous and cause vulnerability for the wireless sensor network. So improving the reliability and security in multi-relay networks is very much essential. In this work, the practical approach of detecting data injection and Byzantine attacks using the proposed method of random network coding is performed. Then, as improvisation measure, the priority scheduling algorithm is implemented to effectively schedule the data transfer. Real-time packets with highest priority in the distribution queue are placed first in the processing mechanism. The remaining packets are arranged based on the position of the sensor nodes and are placed in separate queues. Least priority packets can obstruct the dispensation of their direct higher precedence packets after waitlisted for a certain number of time frames. Simulation results using the NS2 environment show that using the priority scheduling algorithm has good performance values in terms of the packet delivery ratio, throughput and delay. Also, the attack detection metrics such as false positive ratio and detection ratio are also improved when using the priority scheduling algorithm. Thus an improvised priority algorithm for an uplink scheduler in WSN is implemented to increase the performance and detection metrics.
Intelligent Accident Prevention in VANETs
Authors:   Assistant Professor,Department of CSE, B.M.S. Institute of Technology and Management , Bangalore, India., Kirthima A.Mari , Verma Rishabh ,   student, Department of CSE, B.M.S. Institute of Technology and Management , Bangalore, India., Hegde Chinmayi Rajashekar ,   student, Department of CSE, B.M.S. Institute of Technology and Management , Bangalore, India., Shanbhag Arundhati S ,   student, Department of CSE, B.M.S. Institute of Technology and Management , Bangalore, India.
Published: August 2019

Accident prevention has always been an important issue for governments and car manufacturers across the world. Roughly 1.5 million people are killed in road accidents annually in India. The primary causes of accidents are broken and weathered roads, hazardous weather conditions, as well as human errors such as over speeding, distracted driving, and not following road safety rules. The traffic police work hard to enforce strict rules and maintain accident-free roads, but this hasn’t proven to be efficient. A vehicular ad hoc network (VANET), as the name says, is a network consisting of nodes. These nodes depict vehicles on the road. This project aims to use this technology with K-Nearest Neighbour Classifier (KNN) to create a prototype of a system which can notify drivers of an impending accident caused by forward collisions, rear collision etc., thus enabling them to take immediate action and prevent it.
Soil Stabilization using Brick Kiln Dust and waste Coir Fibre
Authors:   M.E. student, National Institute of Technical Teachers Training and Research, Sector 26, Chandigarh, Khan Rizwan , Sonthwal Vinod Kumar ,   Associate Professor, Department of Civil Engineering, National Institute of Technical Teachers Training and Research, Sector 26, Chandigarh
Published: August 2019

Stabilization of clay soil has been carried out for improving its engineering properties of soil. To stabilize the clayey soil use Brick Kiln Dust of and waste Coir Fibre, an experiment is conducted to evaluate the properties of soil mixing with 10%, 20% &30% percentage of Brick Kiln Dust and Coir Fibre contents of 0.5%, 0.75% and 1.0% by weight of soil sample and then the tests are performed. Tests conducted for clayey soil mixed with Brick Kiln Dust and Coir Fibre are Liquid Limit, Plastic Limit, Compaction (OMC & MDD), and California Bearing Ratio (CBR). Flexible pavements sections were degined for non-stabilized and stabilized subgrades to be standard axles traffic intensities. The preamble of brick kiln dust and coir fiber is analyzed to improve the features of expansion subgrade materials and other sub-base materials. Also design the thickness of pavement when it is stabilized with optimized brick kiln dust and coir fiber. The results reveal that CBR value increased with increase of Brick Kiln Dust and Coir fibre. The soil stabilization treatment significantly improved the engineering properties of the soil, and reduced the pavement thickness and also cost of the project.
Asymmetrical Cascade Multilevel Inverter Design using Modified Level Shift Pulse Width Modulation
Authors:   (Power Electronics Drive and Control) Andhra University, 2015, Andhra Pradesh, India, M.E M Revathi , Sudha K.Rama ,   Ph.D. (Electrical Engineering), Andhra University, 2006. Andhra Pradesh, India
Published: August 2019

Multi-level inverter technology emerges as extremely significant choice in region of high-power medium voltage energy control. The multi-level inverter(MLI) generate a quasi sinusoidal voltage from various level of dc voltage. The proposed inverter design for 21 level cascaded MLI inverter by using Level Shifted-Sinusoidal Pulse Width Modulation (LS-SPWM) technique with new carrier and evaluate the Total Harmonic Distortion(THD). The proposed inverter design has the least number of components to lessen the cost and get better reliability of converter for medium power applications. The presented control techniques are applicable to cascaded H-bridge 21 level inverter to get better voltage regulation and thereby, lead the better efficiency,reliability and economic improvement. The selected pattern gave superior result in Total Harmonic distortion.
Ultra-Wide Band LNA Design using Active Inductor with Modified Noise Cancellation Technique
Authors:   Research Scholar, Department of Electronic Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India, Baig Najeemulla , Noorbasha Fazal ,   Associate Professor, Department of Electronic Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India
Published: August 2019

An Ultra-Wide Band (UWB) Low Noise Amplifier (LNA) is affective in deciding the chip size and in the implementation cost at Radio Frequency applications. The proposed LNA design with an active inductor is a different solution to trounce the habit of passive inductors to cut the chip area. Designed in 90-nm CMOS process, a voltage gain of 9dB to 15.5dB for a supply voltage of 0.9v to 1.8V with a smallest Noise Figure (NF) of 5.7dB is achieved by the LNA, with low power utilization and at 2.40 GHz, with 345um2 of chip area.
Round Trip Latency Based Authentication Scheme in Fog-Enabled Cloud Computing System
Authors:   Department of Computer Science, PSG College of Arts and Science, Coimbatore, Tamilnadu, India., Nagarani C. , Kousalya R. ,   Department of Computer Application, Dr. N. G. P. Arts and Science College, Coimbatore, Tamilnadu, India.
Published: August 2019

In fog-enabled cloud computing framework, one of the most challenges is security promises due to the compromised passwords. To overcome this issue, different multifactor authentication schemes have been developed that requires additional authentication credentials along with the standard password to authenticate the login. Among those schemes, Communication Latency-based Authentication Scheme (CLAS) increases the protection of conventional web authentication schemes by leveraging the Round Trip network communication Latency (RTL) between clients and authenticators together with standard password. It uses RTL of clients to secure against password compromise. On the other hand, it can support compromise of either the password or the profiled location of a user. This makes it susceptible to same location attacks. As a result, an integration of additional profiling features is needed to attain more robust and flexible defense against password compromise. Hence in this paper, an extended CLAS is proposed that mainly investigates the mobility and same location challenges in CLAS. Initially, the legitimate login failures are solved by handling both selective and arbitrary mobility of users. For selective mobility case, CLAS generates an individual profile for each location and the user may be granted access if his/her real-time login profile matches any of the stored reference profiles. For arbitrary mobility case, CLAS is integrated with two-factor authentication mechanism to authenticate the user. In addition, the defense against Mimic attacks is improved by utility metric-based location anonymization and obfuscation of RTL algorithms. By using these algorithms, the user’s locations are anonymized and the values of RTL are obfuscated to defend against user compromise attempts for impersonating the RTL by getting nearer to the user location. Moreover, a keystroke dynamics measure is introduced with obfuscated RTL measures to effectively defend the same location attacks. This technique alleviates the potential impacts of network instabilities on RTL measurements. As well, it increases the authentication sample space and so improves the security guarantee of CLAS. Finally, the simulation outcomes illustrate that an extended CLAS has the ability to reduce both false positive and false negative rates.
Removal of Acid Blue 80 using Industrial Waste Carbon
Authors:   Mechanical Engineering Department V R Siddhartha Engineering College , Vijayawada, India, Rao K Srinivasa , Babu G Sridhar ,   Mechanical Engineering Department V R Siddhartha Engineering College , Vijayawada, India, Kumar A Dattatreya ,   Civil Engineering Department V R Siddhartha Engineering College , Vijayawada, India., Rao U. V. Narayana ,   Civil Engineering Department V R Siddhartha Engineering College , Vijayawada, India., Rajesh M. ,   Mechanical Engineering Department V R Siddhartha Engineering College , Vijayawada, India
Published: August 2019

Industrial Waste colors are produced from material ventures, piece of clothing processing plants, and tanneries and these colors end up in streams and lakes around the businesses. They will at that point seriously harm the oceanic life and agribusiness in the zones where they're released. It is critical to discover proficient techniques for treatment for such squanders. For our analyses we have chosen the color: Acid Blue-80. There is a lot of carbon squander that gets produced from businesses consistently. This carbon waste makes a great deal of damage nature without anyone else's input. Hence, we have used this carbon waste to treat the mechanical waste color, so as to make an effective and efficient strategy for treatment. For our analyses, we have chosen carbon squander from the manufacturing enterprises. The technique for treatment that we have chosen is initiated carbon adsorption. The carbon has less surface territory and less adsorption properties, so we have utilized ball processing so as to set it up for the treatment. We have decided the auxiliary attributes of the processed example by utilizing X-beam diffraction. We have led adsorption isothermal and pH thinks about on the adsorbent.
A Conceptual Model for Telemedicine Adoption: An Examination of Technology Acceptance Model
Authors:   Associate Professor, Faculty of Management Sciences,Siksha O Anusandhan (Deemed to be University),Bhubaneswar, India., Dash Dr.Manoranjan , Shadangi Dr.Preeti Y ,   Research Scholar, Faculty of Management Sciences,Siksha O Anusandhan (Deemed to be University), Bhubaneswar,India., Kar Dr.Sunil ,   Associate Professor, Department of Prosthodontics,Hi-Tech Dental College & Hospital, Bhubaneswar, India, Prusty Mrs. Rita ,   Assistant Professor, Faculty of Management Sciences, Siksha O Anusandhan (Deemed to be University),Bhubaneswar, India.
Published: August 2019

India is attaining a high rate of adoption of telemedicine services and which is contributing towards the growth of Indian economy. Healthcare industry in India is going through a massive transformational change .Low cost driven channel for delivering health care services to the patient at their convenience and where distance is matter of concern. Government and private hospitals had started to render their health care service to the urban as well as rural community’s .Digital OPD is thus leading towards a digital culture for providing health care services. However lot of issues and challenges arise regarding adoption of telemedicine services by the physicians working in different private and government hospitals. This study was made in Odisha with a sample size of 134.Technology acceptance Model (TAM) model was extended in the study with other external factors and SEM modeling was used to predict the significant factors leading to the prediction of the adoption of telemedicine services by Physician’s. The TAM model is a good predictive model for the adoption of telemedicine services by the Physician’s.
Accusation Based on Non-Voting Mechanism in MANET using Clusters
Authors:   Department Computer science and Engineering, KL University, Guntur Dist., A.P., India, E Jayanthi. , Hussain Dr.Mohammed Ali ,   Department Computer science and Engineering, KL University, Guntur Dist., A.P., India
Published: August 2019

One of the challenges in MANET is authentication. To aid authentication, digital certificate are used by all the nodes in MANET. The network performs well if the nodes are trustworthy and cooperate properly. The certificate of the misbehaving nodes is revoked by certificate authority, there by debarring them from the network. The objective of this paper is to identify the malicious nodes which drop the packet deliberately to disrupt the network. Any node accusing the malicious node is inserted in the white list and the accused node is inserted in the blacklist based on Non-voting mechanism. The nodes placed in the black list are barred from the network. . Packet dropping due to link failure, mobility and traffic load intensity is excluded for accurate detection of the malicious node. Cluster based Non-voting mechanism with watchdog shows better performance in terms of better packet delay rate, packet delivery rate and packet loss rate while transmitting data. Clustering mechanism helps to reduce the communication overhead and certificate revocation provides secure network. Also, the false accusation is reduced as not all nodes accuse without proper analysis, with fear of being put on the whitelist, and being denied of further accusation. The algorithm is studied theoretically and evaluated practically using NS-2 to show better performance.
Improved Provoking Trustworthy Routing using Warning Packet Arising Algorithm In Wireless Ad Hoc Network
Authors:   Phd Research Scholar, Department of ECE, Karpagam Academy of Higher Education, Coimbatore,India, Sheron P S Febin , Sridhar Dr.K.P. ,   Associate Professor, Department of ECE, Karpagam Academy of Higher Education, Coimbatore,India
Published: August 2019

In WAHN nodes are ready to broadcast data packets frequently with maximum usage of energy, unsecure and nodes resource utilization is important they are not controlled bycertificate revocation scheme. Key mixing is difficult to take much time, so sometime the routing nodes, work as well and they are changed to fake mode depending on its behavior. It affects the security of packet transmission.Nodes transmission is broken by wrong link established by intruder nodes. Proposed an Improvedprovokingtrustworthy Routing (IPTR) schemetomeasure the nodes behavior, attacker works good else bad alternatively so they are easily identified based on historical information for particular node which are present in routing path.The warning packet arising algorithm is implemented to provide warning message to next neighbor node in routing path. Current node changes its operating mode to bad state gives a warning signal, so time delay is reduced and improve network lifetime.
Holistic Student Development Model for improving Employability of Engineering Graduates
Authors:   Department of Computer Engineering, Mumbai Univ., TCET, Mumbai, India., Sedamkar R. R. , Gupta Shiwani ,   Department of Computer Engineering, Mumbai Univ., TCET, Mumbai, India., Varoliya Jesal ,   Department of Computer Engineering, Mumbai Univ., TCET, Mumbai, India., Babbar Anupriya ,   Department of Computer Engineering, Mumbai Univ., TCET, Mumbai, India., Nanade Archana ,   Department of Computer Engineering, Mumbai Univ., TCET, Mumbai, India.
Published: August 2019

The rapid expansion across sectors of global economy has changed the way we should educate and train our future engineering professionals. Upholding of the old standards by engineering institutions can not help much to improve the quality of engineers as well as impose difficulty in adapting to the rapidly changing global market. This paper addresses various holistic development models such as internships, self / online / blended / design-based learning through goal oriented activities, adopted worldwide and what we propose and implemented at TCET, the challenges we faced and the learning we developed. Embedding Diversity, Equity, and Excellence to the institute is critical. Further, stating future plans for the same which consists of self-efficacy beliefs, Intrinsic growth and Confidence in students. Major focus for over all development should be on work ethics, time management, team work and taking personal responsibility, conduct basic research, critical thinking skills and lack of interest in reading beyond curriculum. Through various tests and trials in order to develop engineering graduates on all front, it has been observed that beyond component learning cannot be imposed and different category of students are to be treated differentially to groom them. With that, positive feedback system helps student to understand his/her passion and identify the future scope in that domain. In all, online courses, project development and internships have shown acceptance by student community. The goal is to enhance personal, physical, emotional, and creative potential of students. They further appreciate hands on sessions and industry exposure through Industrial visits and Alumni Connect Programmes.
Key Commercial Point Sentinel During “Order Transfer” From Client and Sales for Execution in Manufacturing Industries
Authors:   Ph.D Scholar, Department of Management, Karpagam Academy of Higher Education, Coimbatore, India., Babu S. Sundar , Venkatachalam Dr.S. ,   Associate Professor, Department of Management, Karpagam Academy of Higher Education, Coimbatore, India.
Published: August 2019

The Moment Purchase order received in project-driven manufacturing industries and the initial review among key stake holders need to be conducted to understand the technical and commercial requirements of a project. The sales team involved in booking the order and the representatives of clients certainly attend the review meeting known as “Order transfer” to kickstart the project. Usually, the project life cycle needs to be broken down in to 7-9 important phases and the Project Manager/ the Executive sponsor must lead further meetings at the end of every phases before the next. Phase gate checklists are the key tools used during different stages of projects from Initiation till closing. As per PMBOK (Project management body of knowledge), Phase gate checklists are mandatory to decide on further progress for any project at different stages. The research specifically emphasizes the key commercial points to be finalized frozen before initiating the order acceptance process followed by project execution. There are chances of overlooking or misjudging important terms and conditions at initial stages, which may lead to complications in the course of project completion, and, sometimes, hinder going ahead with the project itself. By introducing checklists during the order transfer from customer to sales or sales to factory will avoid such mishaps and will be helpful for a smooth handover to operations. Currently many checklists are in practice and tailored to conduct the phase gates for different firms. However, they need to be modified in such a way that they will be universally utilized by all types of manufacturing industries. In this article, we deal with the modified checklist for manufacturing industries which will be helpful in avoiding any missing key commercial information during the order transfer.
Organizational Perceived Victimization and Aggressive Behaviour as a Defence Against Others’ Aggression Among Hospital Employees
Authors:   Assist.Prof. Deprtment of Economics and Administrative Sciencies, Cag Universiy, Mersin, Turkey., Ozturkis Ilknur , Simsekis Anjelika Huseyinzade ,   Deprtment of Economics and Administrative Sciencies, Cag Universiy, Mersin, Turkey.
Published: August 2019

This study investigates the relationship among perceived victimisation and aggressive behaviour in terms of demographic variables of employees of private hospitals. We explored whether the perceived victimisation could lead to aggressive behaviour toward perpetrator as a coping strategy. Participants were 142 employees of 3 private hospitals in city of Mersin, Turkey. Questionnaire included questions according to demographical variables, Perceived Victimization Scale developed by [26] and Aggressive Behaviour Scale by [37]. Pearson’s correlation and descriptive statistical analysis were done. The data obtained from this work reveal that female perceive indirect victimisation more than males, as age and professional experience increases the likelihood of aggressive behaviour toward perpetrator increases too.
Exploration of Special Properties of AL 5056/CNT Metal Matrix Nano-Composites
Authors:   Research Scholar, Dept. of Mechanical Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India., Reddy B Madhusudhan , P Dr. Anand ,   Associate Professor, Dept. of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
Published: August 2019

Over the two decades, researchers and manufacturers of automotive and aerospace appliances have paid much attention and interest to metal matric composites (MMC) due to their unique properties. This paper focus on the special characteristics of Metal Matrix Composites of Aluminum Al5056 reinforced with Carbon Nano Tube (CNT) in different weight ratios of 0.4%, 0.7% and 1.1% of base material. Stir-casting technique is utilized to prepare the composites in line with ASTM standards. The specimens are tested for electrical conductivity, corrosion and wear features. Further the internal structure of these composites is studied by using the SEM Analysis. It is found from the results that by adding reinforcement the composites are affected and SEM analysis of AMMNCs reveal a uniform distribution of CNT in the alloy of Aluminum.
Automatic Recognition of Land Instability
Authors:   Mohammadia School of Engineers, Mohammed V University, Rabat, Morocco., Soukaina MEZIANE , Lahcen BAHI ,   Mohammadia School of Engineers, Mohammed V University, Rabat, Morocco., Latifa OUADIF ,   Mohammadia School of Engineers, Mohammed V University, Rabat, Morocco.
Published: August 2019

Land instabilities are frequent in vulnerable areas because of the conjunction of several triggers. Therefore, it is necessary to identify areas at risk and to propose preventive comfort solutions. The risk is getting worse if landslide affects road network. As a result, it reduces the security of users, the opening of areas and the access of the population. Automatic recognition of land instabilities is useful in the field of new mobility and smart infrastructures. Indeed, this recognition helps the autopilot system installed in vehicles to detect land instabilities even in in bad weather allowing the conditional autonomy to monitor the environment and then the vehicle is able to recognize the land instabilities and acts accordingly. Otherwise, it allows the development of intelligent and smart infrastructures for the protection of the platform and the support of slopes at risk. This automation will reduce the time needed to provide solutions and help diagnose potential risks at an early stage with the optimization of maintenance cost. This article proposes to apply a deep learning method for the recognition of land instabilities collected on roads from visual surveys or captured images of roads. Since landslide types are multiple and require special study to classify them distinctly, this paper aims to apply the deep convolutional neural network (DCNN) using pre-trained AlexNet model to distinguish two classes presence of land instability on the roadway and absence of land instabilities. The results of classification are satisfactory with saving time in identifying risk areas with excellent accuracy (85%) and efficiency and high F1-score (89.12%).
Interface Frictional Properties of Geogrid-Reinforced Pond Ash
Authors:   Department of Civil Engineering, National Institute of Technology Warangal., Sudhakar Mogili , Heeralal M. ,   associate professor in the department of Civil Engineering, National Institute of Technology Warangal., Kumar G. Kalyan ,   assistant professor in the department of Civil Engineering, National Institute of Technology Warangal.
Published: August 2019

The performance of any reinforced soil (RS) structure mainly depends on the soil-geosynthetic interface friction mechanism. Nowadays, due to the non-availability of conventional backfill materials and unsuitability of locally available soils, the exploration has started to find an alternative material for backfilling. One of such materials is pond ash, generated as a waste by-product from thermal power plants. In this regard, the present work is aimed to find the interfacial frictional characteristics of geogrid reinforced pond ash in terms of coefficient of interface friction (Ci) and pullout frictional factor (f*) by conducting large direct shear test and pullout tests using two biaxial geogrids (GG1 and GG2) of different stiffnesses. From the experimental results, it was observed that the coefficient of interface friction (Ci) values were in the range of 0.84 to 0.66 and pullout frictional factor (f*) values were in the range of 0.43 to 0.28 for the applied normal stresses of 50 kPa, 100 kPa and 150 kPa respectively. Further, GG1 shows higher frictional characteristics compared to GG2 because of its structural geometry and stiffness characteristics.