bluuebunny/crossref_metadata_2025 huggingface dataset:
Modified Key Generation in RSA Algorithm
Authors:   Department Information Technology from the Technological Institute of the Philippines in Quezon City, Philippines, Intila Carlo A. , Gerardo Bobby ,   Department Administration and Finance at the West Visayas State University., Medina Ruji P. ,   Department of the Technological Institute of the Philippines in Quezon City, Philippines
Published: August 2019

RSA Algorithm is one of the widely used asymmetric cryptography. But with several conducts of the different studies, factorization attack based on the value of modulo ‘n’ and based on the public key, the value of the private key is vulnerable. With this, the study modified the RSA Algorithm based on modulo and the public key. The modulo transformed into a new value that produced a compound result in the factorization process. At the same time, the public key has been modified by choosing randomly from collected values and transformed to a different value making it a better-hidden private key. The two algorithms compared in terms of factorization, encryption and decryption, and speed. The modification of the RSA Algorithm based on modulo and public key produced a new two-tier scheme in terms of factorization, and encryption and decryption process. The new scheme in the result is resistant to factorization and has a new scheme of private key hiding.
Age and Gender Influences on Consumer Behavior Towards Online Discounts
Authors:   Amity Business School, Amity University, Lucknow, Uttar Pradesh, India., Suman S.K. , Srivastava Pallavi ,   Jaipuria Institute of Management, Lucknow, Uttar Pradesh, India., Vadera Shaili ,   Amity Business School, Amity University, Lucknow, Uttar Pradesh, India.
Published: August 2019

Online shopping is one of the most popular activities that take place on internet. It has expanded considerably in the past few years, but still not reached to its full potential. Internet has created new opportunities for organizations to effectively reach out to existing and potential customers. Web sites enable customers to conveniently search, compare and buy products and services online. Click and mortar stores use various types of online promotional tools like discounts for customer attraction and retention. Various studies have been directed towards influence of gender and age on online shopping behavior of consumers, but limited study has been carried out precisely towards online discounts. The aim of the study is to examine the influence of age and gender on factors –website characteristics and convenience- considered during purchase of online discounted products. This research study was conducted among the online shoppers, who purchase online discounted products, in four prominent districts of North India. Data collected from 311 online buyers, who purchase online products available at a discount rate, was used for the study. The data was analyzed using Statistical Package for Social Sciences (SPSS 16.0). The factors were extracted by using exploratory factor analysis with principal axis factoring and varimax rotation. Reliability (Cronbach’s alpha) and validity were established for the scale used in the study. ANOVA was used to analyze the influence of age and gender on factors considered while purchasing online products available at a discount rate. The findings indicate that influence of males and females varies on the factors- website characteristics and convenience- considered while purchasing online products available at a discount rate, but there is no influence of different age groups. These findings can help online marketers to formulate strategies to attract the online shoppers based on age and gender.
Performance and Persistence of Indian Mutual Fund Industry
Authors:   Research Scholar, Department of Commerce & Management, KLEF (Deemed to be University) Campus: Green Fields, Vaddeswarm, Guntur District, Sanjay Akroju , Raj Dr. K. Bhavana ,   Assistant Professor, Department of Management Studies, KLHBS, Hyderabad
Published: August 2019

The Indian mutual fund industry history started in 1963. The development of the mutual funds industry in India from all the parameters like number of asset management companies, number of schemes, number of investors, and amount of fund invested in mutual funds, mutual funds played major role in the development of the country’s industrial and economic growth etc. Household sector is the key fund supplier to mutual fund industry. Household sectors saving growth rate has been raising year by year. This study address the question, has mutual fund industry succeeded in India? Indian mutual funds have not utilized complete potentiality of prospective investors. Mutual funds have succeeded and played major role in the development of industry, economy etc. in developed countries like USA and Japan. Mutual fund industry facing numbers of problems in our country like lack of investor’s awareness due to less financial literacy, investors are interested to invest in non-financial assets, available, mutual fund schemes are not catering the needs and expectations of investors, dominance of unorganized investment avenues, availability of insufficient investment advisors, etc. Based on the study and analysis suggests and recommends to overcome the challenges which are being faced by mutual funds industry in India.
A Research on The Stock Market Volatility of BSE and NSE in Indian Economy
Authors:   Lecturer in Commerce, Siva Sivani Degree college, Kompally, Hyderabad., Raju M. , Paldon Dr.Trinley ,   Assistant Professor, MBA Department, KoneruLakshmaiah University, Andhra Pradesh.
Published: August 2019

In this paper, the Indian economy is energetically seemed, by all accounts, to be global markets post movement in the mid 90s. India is having economic movement over the most recent couple of years and as essentials be there gigantic hold are spouting into Indian market from over the world. By a long shot a gigantic piece of these outside assets are enormous giganticness players and their improvement in the market results in colossal frailty in stock markets. Indian economy is normally considered by inside use, yet after movement the shar Indian exchange as an essential piece of global exchange is expanding at a rich pace. India's economy has ended up being over USD 1 trillion and sorted out as the eleventh most crucial economy on earth. Unending Indian affiliations are getting related with passing on their things to global markets, raising assets by posting on remote stock exchange ( London Stock exchange, NYSE and NASDAQ and so forward). In that limit, share regard updates of these affiliations will no vulnerability on the planet be influenced by the improvement in world economy. Starting now and into the not very hard to achieve this examination was endeavored to explore the Stock Market slightness of BSE and NSE in Indian economy as shown by the examination of Economic survey for the time of (2015 - 2018).
A Goal-Based Exploratory Search Engine Implementation
Authors:   Department of Computer Sicence, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Lakshmi Adusumilli Ramana , Reddy K. Anji ,   Department of Computer Applications, VR Siddhartha Engineering College, Kanuru, Vijayawada.
Published: August 2019

Exploratory search for after is the term which is astonishing indistinguishably as look at the searcher's result. In todays advanced inventive world, exploratory arrangements is an excellent undertaking and see key work in puncturing. As necessities be, we had done totally examination and give a novel perspective in exploratory arrangements near the target based mentioning suggestion framework. Instantly, we proposed a web record with novel frameworks for referencing recommendation and result re-planning. For deals proposal, search target move framework with the help of point closeness and arrangements likeness is used which relies upon AI figuring. Moreover, we give the ampleness of this novel structure and give a noteworthy framework to exploratory arrangements.
An Efficient Distributive Framework for Preserving Data Privacy through Block Chain
Authors:   Assistant Professor, Dept of CSE, PVPSIT, Vijayawada, AP, India, Swapna D , Madhuri A ,   Assistant Professor, Dept of CSE, PVPSIT, Vijayawada,AP, India., Lakshmi T Sri ,   Assistant Professor, Dept of CSE, PVPSIT, Vijayawada, AP, India., Praveen S Phani ,   Assistant Professor, Dept of CSE, PVPSIT, Vijayawada, AP, India.
Published: August 2019

Deep Learning Models has gained much attention to perform various artificial intelligence tasks. The accuracy of the models relies on the availability of data. Privacy and auditability has become the major concern for data providers. First issue is the centralised server which may become malicious causing break in privacy. Second is no incentives are given for data providers and trainers. Block chain is the most emerging innovation as of late. Decentralised connectivity of block chains gives another approach to interface information without the overheads of security, trust and controls. To address the above issues we propose an algorithm where clients send the model to the block chain for training where the honest trainers are incentivized for training, sharing weights. The weights are averaged; parameters are updated by a smart contract that resides on block chain which guarantees privacy and audit ability
Efficient Hybrid Research for QoS-Aware Microservice Composition
Authors:   Information Science and Engineering, Rajarajeswari College of Engineering, Bengaluru, India., Singhal Neha , Sakthivel Usha ,   Computer Science and Engineering, Rajarajeswari College of Engineering, Bengaluru, India., Raj Pethuru ,   Reliance Jio, Bangaluru, India .
Published: August 2019

Recent advances in the E-business enable the evolution of software development paradigms. MSA is emerging as an alternative approach to SOA and claiming to resolve various challenges in the software development mechanism. Microservices can be implemented as an independent module for software development. In the growing business era, the user requirement is complex and dynamic. User dynamic requirement is a challenge and cannot be completed by a single microservice hence there is a need of service composition in order to fulfill user dynamic business-related queries. For the appropriate service selection, QoS ontology semantic annotation is performed. There are two service composition methods are available i.e. orchestration and choreography. In this paper, we proposed an effective and efficient hybrid approach for the service composition.
MRI Image Reconstruction using Compressive Sensing
Authors:   Assistant professor, Dept of E.C.E, Gudlavalleru engineering college, Gudlavalleru, A.P., Kumar Penta Anil , Sunkara Rajeev ,   Academic Consultant, Dept of ECE, Krishna University of Engineering and Technology, Krishna Dt, A.P., Manda Veera Punnaiah ,   Assistant Professor, Dept of ECE, Gudlavalleru Engineering College, Gudlavalleru, Krishna Dt, A.P.
Published: August 2019

A large number of diagnostic images which also include the MRIs are generated by the imaging departments of the hospitals for medical and legal reasons. This results in the creation of a huge amount of data in the form of images which are required to be stored for a long period. The primary challenge for the picture archiving and communication systems (PACS) allowing to store the image data and the display and reconstruction of the image for recalling at various sites. Image compression and reconstruction are necessary to cope up with these tasks. Significant efforts have been made in the recent towards the application of compressive sensing techniques for acquiring the data in MRI process. The primary aim of the theory of Compressive Sensing (CS) in signal processing is reducing the quantity of data that is acquired for successfully reconstructing the signals. Decreasing the number of coefficients of the acquired images will result in reduced acquisition time i.e. nothing but the duration for which the images are exposed to the MRI apparatus. This paper aims at using optimization algorithms in designing the scanner of the MR integrated with the CS, which results in the reduction of the scan time of the MRI. From a small set of acquired samples, images of satisfactory quality can be obtained. Various Compressive Sensing based optimization algorithms for reconstructing the MRI images are assessed, and a relative comparison is done for further research in this paper.
Design of a High Speed and Area Efficient Novel Adder for AES Applications
Authors:   Research Scholar, Dept of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (DT), Andhra Pradesh, India., Radha A. , Murthy K.S.N. ,   Professor, Dept of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur(DT), Andhra Pradesh, India.
Published: August 2019

In the design of VLSI circuits, there is huge power consumption because of circuit complexity. It is known that the demand for portable equipment is rapidly increasing now a days. Recently power efficient circuit designs have been concentrated. In complex arithmetic circuits adder is the most important building block. These are widely used in some other applications also like Central Processing Units, Arithmetic Logic Units and floating-point units. In case of cache memory access and in digital signal processing, these are used for address generation. Adders are most significant in control systems also. The speed of a processor and system accuracy is based on the performance of this adder. Regularly, Ripple Carry Adder is elected for two N-bit numbers adder due to fast design time of these RCAs among various other types of adders. Even though if RCA has fast design time, but it is limited in time because of that each full adder must wait for the carry bits of previous full adder blocks. A carry tree adder is proposed in this paper which is efficiently implemented technique at gate level for decreasing the delay and decreasing the memory usage.
A Semantic based Terms Relation Research for Classification in Web Information Mining
Authors:   Research Scholar, CSE Department, Gitam University, Vishakapatnam., Thota Sunil Kumar , Mahalakshmi Dr. Tummala Sita ,   Professor, CSE Department, Gitam University, Vishakapatnam.
Published: August 2019

The rapid growth of web information and its services in different areas such as e-commerce, healthcare, digital marketing, online booking, etc. is a challenge in providing accurate information in the domain services related to the user's query. The current web information of services classifies the retrieval of the relevant service and assists the classification by supporting the knowledge and classifications of the specific service information. Because of these limitations and the complexity of automatic update mechanisms to see this service information, a large number of non-related service information for a requested query, and getting the required web information of services is a cumbersome problem. This paper proposes Semantic based Terms Relation Approach (STRA) for classifying information for effective classification of WIS on the web. The approach utilize Concept Terms Similarity (CTS) method for the most relevant terms in a service domain and construct a Related Terms Hierarchal Model (RTHM), which will be used for classification. A modified Naive Bayes classifier is used to perform the classification of the web information of services using RTHM, to categorize and present accurately. The experiment evaluation of the proposed approach shows an improvement in the classification of information and achieve a highly related matching results against different number of users queries.
Accident Prevention by Monitoring and Control of Vehicle Tyre Pressure using Wear & Tear and Pressure Sensor
Authors:   Assistant Professor Department of Electronics and Instrumentation Engineering, Sri Sairam Engineering College, Chennai, mohan K.Madhana , Balavikash K. ,   Student Department of Electronics and Instrumentation Engineering, Sri Sairam Engineering College, Chennai, Harish S. ,   Student Department of Electronics and Instrumentation Engineering, Sri Sairam Engineering College, Chennai, Jayabalaji M. ,   Student Department of Electronics and Instrumentation Engineering, Sri Sairam Engineering College, Chennai, Vignesh B. ,   Student Department of Electronics and Instrumentation Engineering, Sri Sairam Engineering College, Chennai
Published: August 2019

Maintaining Optimal tyre pressure is an important feature that paves the way for better control of the vehicle and thus improves the safety of the Vehicle and Humans. This paper aims to find the solutions in case of abnormal tyre pressure and hence ensure safety of the Vehicle. Reports from the National Highway Traffic Safety Administration (NHTSA) suggest that abnormal tyre pressure-related crashes cause 660 fatalities and 33,000 injuries every year. In order to ensure the safety of tyre and thereby the vehicle safety, pressure of the tyre is measured and monitored. In this project, the pressure and as well as the wear and tear in the vehicle’s tyre is also monitored and measured. The readings are sent to the controller and based on the value of the sensors the necessary ignition is controlled and in case of tyre pressure crossing the prescribed limits ignition is cut off and the vehicle comes to a halt in a safe manner and thus accident is prevented.The main aim of such a system is to add intelligence to vehicle and reduce number of accidents thus reducing the inconvenience during driving due to improper inflated tires The safety of the vehicle, durability of tires and vehicle’s fuel efficiency can thus be improved
Apparel Customer Loyalty Determination using Retail Servqual and Store Reputation- A SEM Research
Authors:   Research Scholar, Department of Management Studies, Bharath Institute of Higher Education and Research, Chennai., Reddy V.Devendranath , Kavitha Dr.S.Fabiyola ,   Associate Professor, SRM Arts and Science College, Trichy.
Published: August 2019

Customer loyalty is a buzzing word in this multifaceted business state of affairs. Deriving loyalty is not so effortless. Apparel sector is a trend oriented industry. Retail apparel sectors facing sturdy competition in the industry, however it remains healthy. The researcher wants to find out the responsible factors of apparel customer loyalty in Chennai city. Research gap The Researcher has validated the Dabholkar et al (2000) to derive the apparel customer loyalty as a outcome variable while store reputation serves as a mediating variable. Earlier studies concentrated on validating Retail service quality model on Apparel Customer Satisfaction. Methodology Selected Retail outlets were chosen and 276 samples was obtained using mall intercept method. Structural path was constructed by the researcher using Dabholkar et al (2000). Store Reputation is the mediating variable between loyalty and RSQL constructs. Findings The researcher found strong relation between Service quality constructs and loyalty while store reputation serves as a mediation variable. However store policy is having direct relationship with loyalty intention of the apparel customer.
Estimation of Parameters in Erlang Distribution using Prior Information
Authors:   Research Scholar, Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh 522502, India., Sarma B. Bhaskara Rama , Kumar V. Vasanta ,   Professor, Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh 522502, India., Lalitha S.V.N.L. ,   Professor, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh 522502, India.
Published: August 2019

This paper focuses on the estimation of parameters of an Erlang density using known Coefficients of variation and Kurtosis of the population basing on past experience and a simple random sample of size from the population. Estimators using Searle D.T approach are proposed and their bias and mean squared error are calculated. The relative efficiency of over conventional estimator is also tabulated for various sample sizes and various C.V values, Kurtosis values. The proposed estimators are observed to be more efficient than under the conditions established. Subject Classification: AMS 62J13
An Empirical Research on Dissimilar Metal Weld of SA335 P11and SA312 TP304 Formed by Metal Inert Gas (MIG) Welding
Authors:   Mechanical Engineering, NMIMS, Mukesh Patel School of Technology Management and Engineering, Shirpur Campus, Dhule, India, Chaudhari Rakesh , Ingle Asha ,   Mechanical Engineering, NMIMS, Mukesh Patel School of Technology Management and Engineering, Mumbai, India
Published: August 2019

Development of dissimilar metal welds (DMW) presents itself as an important research domain with respect to the industrial requirements. The joints formed by dissimilar metals should have superior metallurgical properties and an ability to withstand severe operational conditions. Due to difference in composition and properties, DMW formed between stainless steel and low carbon alloy exhibits functional limitation under heterogeneous working conditions and leads to components failure. The present empirical study investigates mechanical and metallurgical properties of dissimilar metal weld of SA312 TP304 alloy and SA335 P11 stainless steel that is formed by MIG welding. The mechanical and metallurgical properties of the weld are investigated using tensile test, hardness measurement and microstructural observations. Characterization of as-welded and heat-treated weld specimen has also been conducted to determine effect of heat treatment on material behavior. The lower tensile strengths was measured in MIG welded joints than base metals. The significant decrease in ultimate strength is observed in heat treatment specimens compared to as-welded specimens. In contrary, all regions of treated joints revealed higher hardness than the as-welded joint.
Artificially Intelligent Response Based Utility Management System
Authors:   Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, (Karnataka), India., P Rakshata , H V Padma ,   Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India., Prakash Meghana ,   Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, (Karnataka), India., V Karthik ,   Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, (Karnataka), India.
Published: August 2019

Every organization should have its very own Personal AI Assistant at its disposal. The aim of the assistant is to find a knowledge gap to fill by its well-structured speech synthesis and generation mechanisms. The inquiry or interrogation can be predominantly generic to the requirements of the institution. The assistant will understand based on the clarity of purpose. Responses are original, innovative, clear and concise as its vital to provide correct up to date information. They can also be visual and graphical based on the question. Extracted data from private data sets of the organization are analyzed and organized using Pandas. Speech Recognition, Understanding, and Synthesis are done using Speech Recognition Packages and Natural Language Processing Techniques.
Experimental Development on Concrete Behavior of M30 Grade by Replacement of Cement with Nylon Crystals
Authors:   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India., Sabitha M Sai , Sudha J Lakshmi ,   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India., Venkateswarlu Dr. Dumpa ,   Department of Civil Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, India.
Published: August 2019

Bond enterprises in India and too in the on board are being divert on the imported gypsum from the close-by nations this seem high concrete charges because of the import additional charge to India, India is backing an inadequacy in the gypsum asset which is exceedingly helpful in concrete arrangements a substitute concrete supplanting with other accessible materials is very prescribe. In the adjacent investigation M30 evaluation cement is considered with and without nylon precious stones with shifting rates by weight of bond to broaden the solidified solid value with age and the nylon gem rates considered are NAC-0%, NAC-2%, NAC-4%, NAC-6%, NAC-8% and NAC-10%also, the tests compressive quality, flexural quality and split elasticity are directed on examples at week by week premise multi week-7days, two weeks-14 days and three weeks-28days time of cement also, it is see that up to 8% the tried qualities are expanded there after the quality outcomes are diminished so dark nylon precious stones would be used to pick up quality required with decrease of concrete.
“Analyzing the Effect with Integrated Technique for Feature Selection and Software Defect Prediction”
Authors:   Department of Computer Systems and Sciences, Jaipur National University, Jaipur, India., Singh Mr. Raghvendra Omprkash , Thankachan Dr. Blessy ,   Department of Computer Systems and Sciences, Jaipur National University, Jaipur, India.
Published: August 2019

software defect prediction (sdp) technique was projected to designate testing assets sanely, decide the testing want of assorted modules of the software system, and improve programming quality. By utilizing the implications of sdp, programming specialists will fruitfully pass judgment on it that software system modules area unit sure to be blemished, the conceivable range of imperfections in a very module or different information known with software system defects before testing the software system [1]. Existing sdp studies may be divided into four types: (1) classification, (2) regression, (3) mining association rules, (4) ranking. The primary aim of the primary class is to classification of the software system entities like functions, classes, files, etc into completely different levels of severity with the assistance of various applied math techniques like supply regression [2] and discriminant analysis [3] and techniques of machine learning like svm [4] and ann [5]. The second kind aims to assess the amount of imperfections within the components of the software system by victimisation completely different ways, for instance, genetic programming, and support vector regression [6]. The third category utilizes association rule mining approaches, for instance, relative affiliation rule [7], and also the cba2 algorithmic rule, to mine the affiliation between the errors of programming components and programming measurements. The fourth category contemplates to rank the product of the software system as per the amount of errors in components or specifically streamlining the performance of ranking, i.e., faults share average (fpa) as indicated by existing studies of sdp [8]. Sdp distinguishes the modules that area unit imperfect and it needs a large scope of testing. Early recognizable proof of a blunder prompts viable allotment of assets, decreases the time and value of developing software system of high-quality. Hence, associate degree sdp model assumes a vital job in comprehending, assessing and rising the character of a product framework. Consequently, predicting deformity is incredibly basic within the field of reliableness and quality of software system. Predicting the defects is almost a unique analysis space of programming quality planning. By covering key indicators, forms of info to be assembled and also the role of sdp in software system quality, the connection among predictor and defect may be established.
Effects of various De-Speckling Filters on Brachial Plexus Ultrasound Imaging
Authors:   Scholar, Department of Computer Science & Engineering, Amity University, Noida (U.P), India., Bhardwaj Ankur , Kaur Sanmukh ,   Associate Professor, (Guide), Department of Electronics & Communication, Amity University, Noida (U.P), India., Shukla Anand Prakash ,   Professor, (Co-Guide), Department of Computer Science & Engineering, KIET Group of Institutions, Ghaziabad (U.P), India, Shukla Manoj Kumar ,   Associate Professor (Co-Guide), Department of Computer Science & Engineering, Amity University, Noida (U.P), India.
Published: August 2019

Medical Ultrasound images are generally corrupted by Speckle noise. It deteriorates the quality of ultrasound imaging and video that makes it difficult to observe visually. Because of which resolution and contrast of the image is reduced. Despeckling of medical US images is an important process for diagnostic of disease. In this paper effect of various existing despeckling filter on ultrasound images has been studied. All the filters have been implemented in a framework and result are observed in the form of various parameters such as GAE, MSE, SNR, SRMSE, PSNR, UIQI, SSIM, AD, SC, MD. The results obtained have been used for statistically comparing the performance of the filters. It is also analyzed that which type of filters are more suited for particular type of images, noise and other conditions. This will also provide guidelines for the researchers for designing of new filters in future.
Impact of Healthcare Predictions with Big Data Analytics and Cognitive Computing Techniques
Authors:   has completed her B.Tech from JNTUH and M.Tech from JNTUA and currently pursuing my Ph.D from JNTU Anantapur., Aarathi S. , Vasundra Dr.S. ,   Professor and NSS Co ordinator at JNTUCEA, Earlier she served as HOD for computer science and engineering, JNTUACEA Anantapuramu.
Published: August 2019

The world has transformed into an information society that exceedingly depends on data. Since information frameworks create large measures of records each day, consistently, it appears the world is achieving the level of data overload. Big data is used to process the enormous volumes of data into revealing shrouded designs, complex relationships, and other helpful information. This work has done a comprehensive analysis of enormous information investigation in medicinal services. A brief insight into the importance of cognitive computing in healthcare has been presented. The extensive study concludes that the Cognitive computing has more impact on healthcare predictions than the big data analytics.
Performance of AODV and OLSR Protocols with Different Mobility Models
Authors:   Research Scholar, JNTUCE, JNTUA , Aanatapur, A.P, India., Naik C. Kullayappa , Balaswamy Dr. Ch. ,   Professor, ECE Dept., Gudlavallure Engg. College, Gudlavallure, A.P, India., Reddy Dr. P. Ramana ,   Professor & HOD ECE Dept., JNTUCE, JNTUA, Anantapur, A.P, India.
Published: August 2019

The Mobile and ad hoc wireless network has a set of nodes and is a low power, wireless infrastructure less, self-organized and limited distance communicating network devices. The nodes are always changing their characteristics over time results into a different network topology. So, it is very difficult to predict the mobile ad hoc network performance. In this research paper we proposed comparative analysis and estimate the performance of network amongst the mobile nodes by reducing the control overhead. Main intention of the paper is to relate and estimate the performance of different network routing protocols under diverse mobility models. The routing protocols performance metrics are examined with varying node speed and node density of network amongst different mobile nodes. NS-3 is used as a network simulator with version 3.25 (NS-3.25) to carry out the research simulation results.
The Effect of Sensor Structure and Coplanar Electrode for Capacitive Based Flow Sensor
Authors:   Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia., Mat Nawi Mohd Norzaidi , Azeman Nur Shahira Shahripul ,   Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia., Ab Razak Muhammad Rashidi ,   Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia.
Published: August 2019

This paper presents the analysis of the capacitive based flow sensor using computational fluid dynamic (CFD) and mathematical equation approach. The CFD simulations for different types of sensor structure were carried out. Pressure and velocity of the fluid were varied in order to study the hydrodynamic parameter such as displacement and drag force. For the coplanar electrode, width of electrode and half gap between electrodes were varied for capacitive response using mathematical approach. Based on the simulation, the displacement of the dome increases as the pressure increases. The result shows that the most suitable thickness of the dome is 0.1 mm based on the displacement and the strain. Meanwhile for the coplanar electrode, the width and half gap showed a significant effect on the capacitance response.
Spatial Data Warehousing for Integrated Urban Data Management
Authors:   Department of Computer Science and Engineering, Nalanda Institute of Engineering and Technology, Guntur, India., Swarnalatha T. , Anuja T. ,   Department of Computer Science and Engineering, Nalanda Institute of Engineering and Technology, Guntur, India., Reddy B. V. Ramana ,   Department of Computer Science and Engineering, Nalanda Institute of Engineering and Technology, Guntur, India., Reddy Ch. Rami ,   Department of Electrical and Electronics Engineering, Nalanda Institute of Engineering and Technology, Guntur, India.
Published: August 2019

In this paper different special data management schemes pointing urban data environment are reviewed. The approach and the theory of Spatial Data Warehousing (SDW) pointing the urban data atmosphere is briefly discussed. Nature and architecture SDW are characterized. The use of SDW with the use of decision making is developed and analyzed for urban data environment. A three- tiered architecture for the SDW is proposed. The issues and solutions related to the designing of the SDW is addressed.
Collaborating Data Mining Modeling with Big Data Analytics for Disaster Prediction
Authors:   Research Scholar, Manav Rachna University, Faridabad (Haryana), India., Mukherjee Sumita , Gupta Dr. Prinima ,   Professor, Manav Rachna University, Faridabad (Haryana), India., Musau Dr. Felix ,   Professor, Riara University, Nairobi, Kenya.
Published: August 2019

Data mining is the procedure of bringing out the earlier unfold justifiable, logical, intelligible, functional information from large databases, big data to deliver accurate prediction, decision and implementation systems in engineering, business, research and education world. Data mining will effectively introduce the computing strategies and techniques to retrieve the applicable and convenient information from combined large databases known as big data. This paper signifies and explains Big data, Data mining and the importance and ease of Data mining using big data as a back end for delivering appropriate forecasts, prediction and experimental prospective solution as a front end.
Robust Iris and Fingerprint Biometric Fusion in Multimodal Feature Template Matching
Authors:   Research scholar, Dr.SNS Rajalakshmi college of Arts and Science, Coimbatore ,Tamilnadu, India., R Vijayakumar. , K Dr.Karthikeyan. ,   Assistant Professor & Head2 Government Arts and Science College, Palladam, Tamilnadu, India.
Published: August 2019

A fusion scheme in multimodal biometric system is proposed in the name of Multimodal Feature Template Matching (MTM) system derived from the two picture fused values of average point and weighted assessment point. The main objective of MTM algorithm is to design the average point fusion and weighted average point by fusion of Iris and fingerprint features. The MTM algorithm is assigned with avgweights based on their verification accuracy. A hybrid approach of combining biometric image level information id presented. The raw information is merged at image level. This integration addressed, provides a small template and resilience to attacks. However it does not improve the recognition performance, but the performances is also less combination to its unimodal counterpart. Confidence level integration of compatible features of two different uncorrelated biometric traits fingerprint and iris provides sustainable improvement in performance accuracy compared to other integration methods as well as best unimodal system. Fingerprint and iris integration approaches presented in this proposed are more robust and reliable.
Segmentation of Ultrasound Abdominal Images to extract Region of Interest
Authors:   Department of Computer Science, Kristu Jayanti College (Autonomous), Bengaluru, India., M Ranjitha
Published: August 2019

Ultrasound imaging is one of the safest techniques for disease diagnosis which can be used in any part of the body. One of the major reason for using ultrasound images is the cost when compared with MRI, PET etc. Further, it is free from any radiation exposure and is an efficient technique for initial diagnosis. This paper concentrates on segmentation of kidney from abdominal ultrasound images. There are many common ailments affecting kidney and hence conducting study on this segmented image becomes easy with an efficient segmentation technique. Various algorithms to pull out kidney regions from abdominal ultrasound images which are discussed by many researchers are also investigated in this paper. One of the major drawback of ultrasound image is that due to the complicated internal organs of the abdominal region, extraction of only kidney region is very challenging. This paper proposes a new technique where the collected abdominal ultrasound image is cleaned, to remove unwanted noise produced due to various interferences. After applying the filtering technique, kidney region is segmented. This extracted kidney image is subjected to Region indicator contour segmentation method to extract the renal calculi which is the region of interest in this study. The method is experimented with a reasonable number of dataset and applied the statistical performance test to check for the accuracy.
Indian Smart City Ranking Model
Authors:   Delhi Technological University, Delhi, India., Sharma Kapil , Tayal Sandeep ,   Delhi Technological University, Delhi, India.
Published: August 2019

In the last decade, sensible urbanization gains additional quality in international urban designing. The term “Smart City” is essential to mix multiple info and communication technology (ICT) to manage the town. Nowadays, additional individuals prefer to board associate geographic area for sensible living. Therefore, the researcher/urban planner is developing “Smart City” models supported essential dimensions, governance, economy, setting, people, mobility, and living — theses existing customary model and definition designed by that specialize in European and American cities. The necessity for Indian sub-continent “Smart City” model has arisen through an associate initiative taken by Indian prime minister in 2014 to develop one hundred sensible cities. So, paper, Indian “Smart City” model defines with new dimensions Demographics Profile, Economic Profile, Infrastructure Profile, e-Governance& Computerization, Finance, Environmental, Progress Track, and Security per sub-continent of India. The model has eight dimensions and eighty indicators for a city. The distance-based algorithm (DBA) is used to rank the Indian “Smart City.” This algorithm decides on the bases of multiple indicators of the Indian “Smart City.” The Indian “Smart City” ranking is measure as per the computed distance of optimum values of indicators.
Evaluation of Electric and Magnetic Fields Distribution and SAR with the Help of Intensity of Time Averaged Electromagnetic Wave
Authors:   Assistant Professor, Avanthi Institute of Engineering & Technology,Visakhapatnam, Andhra Pradesh, Kumar P.Ashok , Kumar Dr Ch.R.Phani ,   Assistant Professor, GITAM Deemed to be University,Visakhapatnam, Andhra Pradesh
Published: August 2019

Potential Risk From Exposure to EMF have been explored for a long time .Different research endeavours have tended to security rules to Protect the Human body from EM penetration. The study of Electromagnetic fields and non-ionizing effects on human body is a very useful due to possible health effects that these many electromagnetic field can cause in humans. At the point when an Electric or Magnetic field Penetrates into body ,it is weakened and some portion of is assimilated inside the body tissue. Impact of EM on Human body relies upon force of Electromagnetic field and distance of EM source to human body.Specific Absorption Rate (SAR) is a parameter used to estimate amount of energy absorbed by a human body.SAR Is depends on Frequency and Intensity of Electromagnetic wave. Broad Research is already done on Reduction of SAR in the case over usage of Mobile phones units but SAR minimization in Medical Application like MRI is always a challenge to Researchers. The advantages of Magnetic Resonance imaging (MRI) have made it the Radiological Method of Choice for an extraordinary Number of analytic Procedures,but the drawback is options are limited in the case of patients who are having implantable devices,The SAR Value is increased due to implantable devices because of temperature Rise. Leakage Magnetic field from the diagnosis instruments leads to hazardous to medical Personnel. this Paper is a initiated work on Study of SAR considering the intensity of electromagnetic wave and assessment of SAR in case of leakage of Magnetic field leakage.
Microstructure, Hardness and Corrosion Resistance of Surface Modified Ni - Hard 4 Cast Iron with Nitrogen using Gas Tungsten Arc
Authors:   Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India, reddy A Manikanteswar , M Krishnakumar ,   Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India, R Saravanan ,   Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India
Published: August 2019

The change in microstructure, hardness and corrosion rate of Ni-Hard 4 cast iron were studied after surface modification with Nitrogen mixed the Argon shielding environment. The microstructure of the modified layer was grains with the presence of nitrogen, observed under the optical microscope. An average of 1.37wt% of Nitrogen was observed in the modified layer during EDAX analysis. The presence of Nitrogen in the modified layer has formed FeN, Ni3N and Cr2N phases. The formation of nitride phases were confirmed during XRD spectral analysis. The hardness of the modified layer was taken along the depth direction. The hardness of the modified layer was improved from 578HV of the substrate to 1735HV of the modified layer. The electrochemical polarization test was conducted at a 3.5wt. % saline (NaCl) solution in both the substrate and the modified layer. The modified layer forms a protective layer over the surface and reduced the corrosion rate than the substrate
River Vishav Contribution to 2014 Devastating Floods of Kashmir (India)
Authors:   Professor, Department of Civil Engineering, National Institute of Technology, Srinagar, India., Lone MA
Published: August 2019

Floods cannot be absolutely controlled but can be managed to reduce the losses. The changing climate is a major cause of the increasing trends in the erratic and heavy rainfall events causing floods. The rains those lashed out during the first week of Septemeber-2014 in Kashmir Valley resulting in a devastating flood is one of the examples of such hazards. Many attempts have been made by different agencies and the people to ascertain the cause of this devastating flood. Most of these studies focus on the River Jhelum’s main course and do not pay much attention to the role of its tributaries in the said event. The present study is an attempt to analyse the role of the most hazardous tributary of the River Jhelum, known as Vishav River in the horrible catastrophe. River Vishav is a major tributary of the river Jhelum and contributes to nearly one-fifth of its discharge. On basis of the information collected and the survey conducted after the floods, it is believed that this tributary of river Jhelum played a major role in the 2014- devastating floods. The present study highlights the present status of the river Vishav, its behaviour, its role in 2014 floods and flood mitigation measures in the Vishav basin.
Blending & Shortlisting Indicators from Existing Sustainability Rating Systems in Indian Context
Authors:   M.tech (Construction & Management) School of Civil Engineering, MIT- World Peace University, Pune, India., Bele Sanket , Gogate Nivedita G. ,   School of Civil Engineering, MIT- World Peace University, Pune, India.
Published: August 2019

The meaning of sustainability in today’s world varies from place to place, region to region and person to person. In such a scenario the absolute or standard parameters used by various sustainability rating systems cannot stand accurate in a geographically, climatically and socially diverse nation like India. In such cases some buildings which have considerably low impact on the environment are unable to get green rating certification due to the rigidity in existing rating systems. Also occupants in different regions have contrasting perceptions about the relative importance of various sustainability indicators. The opinion of local people with idea about sustainability can be the key in defining affective sustainability practices as and local people have the minutest knowledge about their surroundings and their needs. This article attempts to identify, blend and shortlist optimum sustainability indicators in Indian context by studying the existing popular rating systems (LEED, GRIHA and IGBC). It also aims towards ranking the relative importance of the 7 major domains of sustainability indicators with help of qualitative research methodology.
Decision Support System of Performance Appraisal Policy Continuity in the Logistic Staff of Indonesian Armed Force using Discrepancy Evaluation Model and Analytical Hierarchy Process
Authors:   Jakarta State University (UNJ), Jakarta, Indonesia, Marsiningsih  , Madhakomala R. ,   Jakarta State University (UNJ), Jakarta, Indonesia, Gunawan Kazan ,   Esa Unggul University, Jakarta,
Published: August 2019

At present, Indonesian Armed Force (TNI) has a basic policy on evaluating the performance of individual soldiers as stated in the Decree of TNI Commander Number KEP/1081/XII/2015 on December 21, 2015 concerning Technical Guidelines for Individual Performance appraisal. The current condition of the performance appraisal system in TNI is still general, so the system still requires additional criteria when it is carried out for performance appraisal on staff/work units under it. this study aimed to provide an analysis decision making of the program continuity based on the evaluation result’s condition of performance appraisal policy implementation in TNI logistic staff in accordance with the Decree of TNI Commander KEP/1081/XII/2015 on December 21, 2015. This study used Discrepancy Evaluation Model (DEM) and Analytical Hierarchy Process (AHP) methods. The DEM method is used to identify policy evaluation criteria. AHP method is used to give weight to the criteria and recommendation of policy outcome decision. Based on the experts’ judgement, the policy of performance appraisal program for TNI logistics officers needed to be revised or reviewed. Based on the results of the evaluation analysis, there were several sub-aspects of the criteria which needed to be revised. The results of weighting criteria according to the level of importance of policy decision making found that the terminated performance appraisal policy aspect (H-I) obtained a weight of 0.01165; the revised performance appraisal policy aspect (H-II) obtained weight of 0.3732; the continued performance appraisal policy aspect (H-III) obtained a weight of 0.2644; and disseminated performance appraisal policy aspect (H-IV) obtained a weight of 0.2459. The result of this study can also encourage the professionalism of TNI soldiers by being able to identify the extent to which officers can work.