bluuebunny/crossref_metadata_2025 huggingface dataset:
Secure Data Aggregation Protocol with Efficient Energy in Sensor Networks
Authors:   Research Scholar, Sathyabama Institute of Science and Technology, Chennai, India., Selvi* M , Prathap P M Joe ,   Associate Professor, Department of Information Technology, RMD Engineering College, Chennai, India.
Published: December 2019

In the current secure data aggregation strategies, decrease within the energy utilization isn't greatly talked about and consolidated answer for both trustworthiness and confirmation isn't tended to. In this paper, we propose to structure an Energy Efficient Secure Data Aggregation Protocol for wireless sensor networks. In this protocol, we fuse the confirmation as well as protection to keep up the productivity of the data aggregation. Initially the network been partitioned into bunches, every group is going through an aggregator also the aggregators are associated with sink each straightforwardly otherwise by different aggregators. The aggregator has been chosen dependent taking place the closest separation toward a lot of sensor hubs as well as its energy level. Detached inputs has been circulated toward the two points i.e., sensor hub to the aggregator as well as aggregator to the sink. At whatever point a sensor hub needs to mail information toward an additional hub; former the sensor hub scrambles the information utilizing a input also mails it toward the aggregator. For honesty of the information parcel, a MAC support confirmation policy is utilized. Reenactment outcome confirm so as to our planned protocol have decreased energy utilization though achieving great bundle conveyance proportion.
Implementation of Pll in Rf Transceiver using SPI and Uart Protocols
Authors:   Dept of ECE, Sreenidhi Institute of Science and Technology, Ghatkesar, Hyderabad, Telangana, India, Swamy* V.Kumara , Benakop Dr. Prabhu G ,   Dept of ECE, Methodist College of Engg, Abids, Hyderabad, Telangana, India
Published: December 2019

Software Defined Radio plays vital role in many applications as the components in it are software selectable. We can select desired frequency and modulation technique which can be selected through software. The desired frequency selected should be locked in phase locked loop (PLL). The desired frequency is selected by giving commands from Graphical User Interface (GUI) using Universal Asynchronous Receiver Transmitter (UART) and Serial Peripheral Interface (SPI) protocols.GUI is created using Qt creator which is a cross platform C++ and java script Integrated Development Environment (IDE). GUI is designed to generate the desired frequency. As soon as we select a frequency, the corresponding address and data are generated to configure in the Radio Frequency (RF) transceiver. These address and data are first sent to the PIC microcontroller by communicating through UART protocol and after setting data format, these are sent from Peripheral Interface Controller (PIC) to RF transceiver by communicating through SPI protocol. With this process, the registers in RF transceiver are controlled by the user
Address Autoconfiguration in IPv6 Networks: Challenges and Countermeasures
Authors:   Department of Computer Science & Engineering, Government College of Engineering, Tirunelveli, Tamilnadu, India, Samuel* Rajula Angelin , Punithavathani D. Shalini ,   Department of Computer Science & Engineering, Government College of Engineering, Tirunelveli, Tamilnadu, India
Published: December 2019

The demand for internet and its applications has eventually led to the depletion of the dominant IPv4 addresses. This has resulted in the inevitable need for the next generation Internet Protocol IPv6, which contains an enormous pool of IP addresses. Address Autoconfiguration, a remarkable feature of IPv6 enables a node connected in the network to automatically configure an IP address for its interface and instantly participate in network communications. The Internet Engineering Task Force (IETF) has classified autoconfiguration into Stateless and Stateful mechanisms. Several IPv6 protocols have been employed to achieve autoconfiguration of networks. However, in addition to the excellent competence of this feature, autoconfiguration certainly suffers in terms of security and optimization. This paper attempts to enlighten the need and merits of Address Autoconfiguration and finally highlights the challenges, open issues and countermeasures involved in achieving this in real time environment.
Multi-Objective Gas Lift Optimization using Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II)
Authors:   have position of asst. professor in vignan’s foundation for science, technology and research. He has done his master degree from IIT Dhanbad., Sreeharsha V , Jawaria Pulak ,   has done master degree from IIT Dhanbad., Bhadaria Vishesh ,   has master degree from IIT Dhanbad.
Published: December 2019

In petroleum industry, gas lift optimization is the most important for evaluating the reservoir. By improving the gas lift operation we can save money and time which we spend on the reservoir for effective production. The mainly accepted scenario of gas lift is to maximize production by using minimized cost infrastructure. If the production rate is increased, then the cost of oil production also increases due to the increase in surface facilities and increase in cost of gas compression to higher pressures. The production rate and production cost during gas lift are mutually conflicting in nature i.e., if anyone desires to increase the oil production rate, then at the same time it is difficult to minimize the cost of production. Therefore, this is an ideal candidate for multi-objective optimization study, where production rate needs to maximized while minimizing the cost of production. The oil production rate is calculated using nodal analysis of inflow performance and outflow performance curve while the production cost is calculated using the brake horsepower requirement of the compressor. Oil production rate during a gas lift operation can be defined as a function of various factors like (i) depth of gas injection, (ii) gas injection rate (iii) gas lift injection pressure, (iv) wellhead pressures, (v) bottom hole pressure, (vi) tubing size, (vii) surface choke size/wellhead pressure. Production cost mainly depends on the cost of gas compression which further depends on the pressure up to which gas has to be compressed in the annulus so that the gas lift valve at the bottom of the well opens. The opening of gas lift valve depends on the bottom hole pressure in the tubing i.e. the density of mixture present inside the tubing. The multi-objective gas lift optimization is carried out using multi-objective evolutionary algorithms (EAs) that use non-dominated sorting called elitist non-dominated sorting genetic algorithm (NSGA-II). In this project, we aim to find the optimum values of the decision parameters i.e. gas injection rate and wellhead pressure, for which oil production rate would be maximized while minimizing the cost of oil production.
Influence of Common Weighing Agents on Rheological Behaviour of Drilling Mud
Authors:   Department of Petroleum Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, Andhra Pradesh, India., Avula* Venkata Ramana , Nalajala Venkata Swamy ,   Department of Chemical Engineering, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur (Dist.), Andhra Pradesh, India., Kumar K. Rajesh ,   Department of Petroleum Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, Andhra Pradesh, India.
Published: December 2019

Drilling fluid or mud is essential fluid in drilling operation which has many important properties and one of the important properties is the viscosity of the drilling fluid and the viscosity is further classified as yield viscosity and plastic viscosity which means different in terms of its function. This paper is attempting to show the rheological characteristics of the different samples of the drilling fluid using Xanthan Gum and Physillum husk and different weighting agents Barite and Calcium Carbonate at ambient conditions. The results showed that xanthan gum acts as good viscosifying agent as compared with physillum husk. In addition that, the water based drilling mud with barite which act as weighing agent proved better as compared with calcium carbonate. The following paper will be valuable to the graduates, future graduates and also to the Industry personnel have a basic idea about the rheology and how the parameters related to the rheology are valuable in mud design.
Multiple Sequence Alignment by Differential Evolutionary Algorithm with New Mutant
Authors:   Assoc.Prof, Dept. of Computer Science & Engineering, Narasaraopeta Engineering College [Autonomous], Narasaraopet, Guntur(Dt), A.P., India., Gavarraju* Lakshmi Naga Jayaprada. , Pavan Kanadam Karteeka ,   Professor & Head Department of Computer Applications, R.V.R.& J.C.College of Engineering [Autonomous], Chowdavaram , Guntur , A.P., India.
Published: December 2019

Multiple Sequence Alignment (MSA) is vital in Bioinformatics, helps in finding evolutionary relationships among multiple species. MSA is a NP-complete problem. Though there are a number of tools recent Meta-heuristics are found to be effective in solving MSA problem. Differential Evolutionary Algorithm (DE) is one of the optimization algorithms with various mutants. This work proposes a new mutant for DE, defined using local best and worst chromosomes with current generation population. The performance of the new mutant is evaluated using 50 well known bench mark data sets in sabre (SABMARK v1.65). The results are matched with all the other DE mutants, Genetic Algorithm (GA) and recent Teacher Learner Based Optimization algorithm (TLBO). The proposed DE mutant outperformed all the other DE mutants, GA and TLBO in solving MSA problem.
General Purpose Opinion Mining System for Social Media Platform using Machine Learning Based Api
Authors:   Assistant Professor in Department of Computer Science at S.J.H.S Gujarati Innovative College of Commerce and Science, Mehta* Urmita , Verma Dhanraj ,   Currently working as Professor in Department of Computer Science & Engineering, Dr APJ Abdul Kalam University,
Published: December 2019

With the growth of technology there is lot of data available on the internet. Social media platform like Twitter, FaceBook,Google+,whats app,instagram etc are the platform that allow people to share and express their views, ideas, thoughts and experiences about any topics, post messages across the world. There are mainly two types of textual information available on social media platforms. One is fact and another next one is sentiments or more formally it can also called opinion. The social media is a platform where people gives their opinion regularly. These opinions may contain some factual information. For the analysis of sentiments we required some tools. Mostly text based mining is used for opinion mining. Text mining required lots of different tools and research work. This paper, provides a machine learning techniques for opinion calculation in Twitter..
A Method for Eliciting Customer Requirements from Question Sentences
Authors:   Department of Computer, Korea University, Seoul, Korea., Kim* Neunghoe , Hong Chanki ,   Department of Medical IT, Catholic Kwandong University, Gangneung, Korea.
Published: December 2019

The modern development of the internet has led to product information being provided in online markets. User reviews provide various types of information in addition to product information; they comprise a channel for communicating product information and affect consumer purchasing decisions. As such, user reviews can have a significant influence on sales. However, they are also noted as a place for identifying user needs because a large number of user reviews can be obtained at low cost. User review analysis generally uses opinion mining methods, which largely divide reviews into being positive, negative, or neutral; analysis is performed only on positive and negative user reviews after neutral reviews are discarded. User reviews containing question sentences are judged to be neutral, yet they can contain content important for identifying user needs. Therefore, this paper proposes a method to derive customer requirements from the user reviews containing question sentences. It is shown that user needs are contained within these user reviews through analysis of the results. New user needs can be found through this method and a large number of user needs can be obtained at low cost.
Burn-Through Responses of Aero-Engine Nacelle using Fiber Metal Composites by ISO2685 Propane-Air Burner
Authors:   Department of Mechanical Engineering, College of Engineering, Hassan Usman Katsina Polytechnic, Katsina, 2052 Nigeria., Mohammed* Ibrahim , Talib Abd Rahim Abu ,   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
Published: December 2019

The paper presents experimental investigation on the behavior and burn through responses of a flat plate composite of fiber-metal laminates composites of aluminum alloy 2024-T3 with carbon and natural fibers subjected to environmental conditions in fire designated zone of an aircraft engine exposed to fire. The main purpose of this study is to know the different burn through time responses of different forms of aluminum alloy with synthetic and natural fibers. The composites were designed and developed to improve the flame fire resistance in a fire designated zone of an aircraft engine in near future for prolonged burning through time that will at least withstand the fire flame for 15 minutes according to the ISO 2685 standard. The composites are fabricated by hand lay-up method in a mold of 300 mm x 300 mm and compressed by compression machine. Based on the obtained results, some of the composites are indicated to be fireproof while some others are fire resistant. It is shown that the carbon fiber reinforced aluminum alloy laminate with only aluminum at top and bottom (CF+AA) of the composites can resist more flame temperature than the carbon fiber reinforced aluminum alloy laminate with alternate layers of aluminum and carbon fiber (CARALL) with 7.86%, the sandwich of carbon fiber with flax with 18.2% and the sandwich of carbon fiber with kenaf with 23.43%. In conclusion, the study reveals that aluminum alloy 2024-T3 with carbon fiber and some types of natural fibers composites possess good properties of resisting high temperature of fire designated zone of an aircraft engine nacelle.
Cluster Head Selection and Packet Delivery Estimation Based on K-Means and FCM
Authors:   Research Scholar, Electronics & Communication, RGPV Bhopal, MP, India., Khandelwal* Anil , Jain Yogendra Kumar ,   Associate Professor Department of Electronics and Instrumentation Engineering, SATI Vidisha, MP, India.
Published: December 2019

In this paper comparative study have been presented for the efficient cluster head selection based on k-means and fuzzy c-means (FCM) clustering algorithms. It is observed that the nodes assignment after the clustering is different through k-means and FCM. It is because of the variant initialization mechanism of the k-means and FCM. But the assignment of cluster does not affect the results. It is clearly depicted from the packet delivery time results by our approach. It shows that the k-means and FCM have the capability of CHs selection in the required time frame and it shows the effectiveness in different iterations also. When aggregate packet delivery has been considered the same situation has been observed which depicts the capability of our approach. K-means found to be faster in comparison to FCM.
Identification of Bearing Faults using Wavelet Transform
Authors:   Assistant Professor Mechanical Engineering Department Amity School of Engineering & Technology Amity University, Noida U.P India, Vishwakarma* Prem Narayan , Sharma Ajay ,   Assistant Professor Mechanical Engineering Department Amity School of Engineering & Technology Amity University, Noida U.P India
Published: December 2019

This research is concerned with description of a scheme for bearing’s localized defect detection based on wavelet packet transform (WPT). WPT provides a high resolution time-frequency distribution from which periodic structural ringing due to repetitive force impulses, generated upon the passing of each rolling element on the defect, are detected. The objective of this work is to emphasis on the outer race defect, inner race defect and ball defect. In modern industrial scenario, there is increasing demand for automatic condition monitoring that reduce the gap between digital model and actual product. With reliable condition monitoring, faults such as machine element failures could be identified in their early-stages and further damage to the system could be prevented. Successful monitoring is a complex and application-specific problem, but a generic tool would be useful in preliminary analysis of new signals and in verification of known theories.
Detection of Stress Level in Social Media users using Cnn-Fg Model
Authors:   Assistant Professor in the Department of Information Science and Engineering at NMAMIT, Nitte, Karkala, Karnataka., Nargis* Tanzila , Saurabh Nikitha ,   Assistant Professor in the Department of Information Science and Engineering at NMAMIT, Nitte, Karkala
Published: December 2019

Psychological stress has become a common condition in today's world owing to the busy life style and competitive environment. This has led to increase of suicidal rates in the recent years. Lately, there has been a tremendous increase in interactions in the social networking sites. As people are spending long hours in the virtual world it is easier to detect and analyze the stress levels of the social media users. In this paper, we have proposed a hybrid approach which is a combination of Factor Graph (FG) model and Convolutional Neural Network (CNN) to analyze the textual contents in social media users’ tweets and posts to detect the level of stress of a user. The tweets of an individual user are gathered from Twitter platform which is preprocessed and passed to the cross autoencoder embedded CNN Model which outputs user level attributes. These are then input to the Factor Graph model that detects the stressed tweets. A mechanism has been proposed to inform the friends or relatives of the concerned stressed user if the detected stress level is above the given threshold.
A critical look at the Textual Side of Court Verdicts Through the Gricean lens
Authors:   Language Academy, UniversitiTeknologi Malaysia, Johor Bahru, Malaysia., Ahmed Sajjad , Habil Hadina ,   Langauge Academy, UniversitiTeknologi Malaysia, Johor Bahru, Malaysia.
Published: December 2019

This paper focuses on the specific linguistic manner that is invariably employed by the writers of court verdicts around the world. The researchers put forth an analysis of the language features adopted in writing judicial rulings through the Gricean Maxim of Manner. With a view to demystify the language of court judgements, this paper highlights the importance of employing the Gricean Maxim of Manner as a guiding principle for writing court verdicts in order to make these documents decipherable, particularly for a layman who is not equipped with specific knowledge of vocabulary and structure used in court verdicts. It is an attempt to clarify the language features of randomly selected court verdicts in juxtaposition with the Gricean Maxim of Manner, and to show how the violation of this maxim plagues these verdicts with unnecessary obscurity and prolixity of language expressions. The essential complexity of the text of these verdicts stems mainly from an excessive dependence on legalism, archaism, redundancy of expression and a baffling prolix sentence construction. As there seems to be a lack of serious attention given to the language of court verdicts, it is timely that the linguistic aspect of court judgements be investigated. The paper is based on the premise that a close compliance with the Gricean Maxim of Manner can help simplify the text of court verdicts making it easier to be understood by a layperson.
Internet Data Security System using AES256 Encoding Technique
Authors:   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram,., Kanakaraja* P. , Sahithi V. ,   Department of Electronics and Communication Engineering , Koneru Lakshmaiah Education Foundation, Vaddeswaram, Ramyavani K. ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Richa D. ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram
Published: December 2019

Now a days 60% of communication are done only through internet based in this circumstance data security is very important while we are communicating through any internet based networks like cloud, servers etc. With the help of some few sensors like temperature, alcohol or gas sensor data encrypted. In AES256 standard, the sensors convert the plain text into cipher text (which is not understandable) and it is uploaded to the cloud on the transmitter side. On the receiver side we can decode the data only with the help of AES256 key and hash code which are used on the transmitter side. In between this process any person is trying to hack the data he cannot get the original data because the data is in the form of cipher text format.
An Arduino Based Safety Alerts for Vehicle and Accident Detection System
Authors:   Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India., Sairam* N.L.S.P. , Ajay V.Venkata Sai ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India., Vardhan B.Sai ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India., Kumar Ch.Ganesh ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India
Published: December 2019

This paper is about a system that prevents the accident of vehicles which gives more likely to lower the accidents takes place daily on roads and at the same time if any accident occurs the system will locate the vehicles location and informs to local emergency authorities automatically helps to take immediate and appropriate actions. This system is based on Arduino developed with Global Positioning System (GPS) to identify the vehicle's location and Global System for Mobile Communication (GSM) technologies. A motion sensor gyroscope with 3-axis gyroscope and 3-axis accelerometer is used that measures the vehicles velocity and tilting position when the vehicle hits by something. when the vehicle velocity is more than the defined maximum for the particular location a warning will be given automatically and if any accident occurs the geographical coordinates of place are located by GPS and sends an SMS to the authorities nearby. This system is low cost and easy to maintain.
Customer Loan Approval Classification by Supervised Learning Model
Authors:   student at the department of Computer Science and Engineering at K L Educational foundation, deemed to be University, Vaddeswaram, and Andhra Pradesh., Prasad* K. Gana Sai , Chidvilas P. Vamsi Sai ,   student at the department of Computer Science and Engineering at K L Educational foundation, deemed to be University, Vaddeswaram, and Andhra Pradesh., Vasanthamisan Vijay Kumar ,   assistant professor at the department ofComputer Science and Engineering at K L Educational foundation, deemedto be University, Vaddeswaram, and Andhra Pradesh.
Published: December 2019

The loan is one of the most important schemes of bank. Usually the Banks are willing to give loans to the customers based on their requirements. However, unfortunately there are some customers who delay the payment of loan or unable to pay the loans due to financial status. In order to solve this problem, banks need to use thehelp of some techniques in predicting the loan repayment status. Machine Learning models are known to have a high accuracy on prediction problems, so in this paper we use some of the machine learning models in default loan prediction.
Prediction of the Elastic Properties of the Clay-Rice Straw Composite by Numerical Homogenization Technique using Digimat
Authors:   Laboratory of Energetics and Applied Mechanics, University of Abomey-Calavi, Cotonou, Benin., Labintan* Clement , Adadja Christian ,   Laboratory of Microstructure Studies and Mechanics of Materials, University of Lorraine, Metz, France., Gibigaye Mohamed ,   Laboratory of Energetics and Applied Mechanics, University of Abomey-Calavi, Cotonou, Benin., Zahrouni Hamid ,   Laboratory of Microstructure Studies and Mechanics of Materials, University of Lorraine, Metz, France., HATTAB Mahdia ,   Laboratory of Microstructure Studies and Mechanics of Materials, University of Lorraine, Metz, France.
Published: December 2019

This paper deals with numerical modelling of the elastic properties of the rice straw-clay composite. This composite material is currently attracting interest because of its low impact on the environment but also for economic reasons. Benefiting from the advantages of a promising building material, straw reinforced composites attract more attention. This work allowed to model the effect of the straw inclusions on the elastic properties of the composite by a numerical approach considering the aspect ratio, the volume fraction, the orientation and the distribution of the straw inclusions. The Mori-Tanaka homogenization scheme for the RVEs is done using Digimat-MF software and the 3D composite microstructure models are generated by the Digimat-FE software. This made it possible to calculate the effective elastic properties of the clay-rice straw composites by numerical simulation. An empirical linear correlation between the volume fraction of the inclusions and the Young's modulus has been proposed. The results obtained can help to better control the formulation of the composite in developing countries.
Logical & Analytic features of Internet of Things (IoT)
Authors:   Computer Application, Dr. APJ Abdul Kalam University, Indore, India,, Rajpoot* Sandeep Singh , Verma Dr. Dhanraj ,   Computer Application, Dr. APJ Abdul Kalam University, Indore, India
Published: December 2019

The Internet of Things (IoT) is changing individual’s encompassing physical world into a data biological system that encourage our regular day to day existence. Billions of brilliant articles will progress toward becoming information producing "things" that can detect ecological changes and report their detected information in not so distant future. Utilizing the immense measure of tactile data is a key issue to understand the IoT arrangements in numerous territories. Sufficient advancements are required for information accumulation, transmission, information handling, investigation, announcing, and progressed questioning. The Internet of Things (IoT) has been picking up force in both the business and research networks because of a blast in the number of keen cell phones and sensors and the potential uses of the information delivered from a wide range of spaces. The IoT has a particularly promising future, since governments of several countries is focusing, supporting and endeavouring the undertakings for developing better establishment, even associations are considering inventive things, and organizations think about the points of interest which Internet of Things conveys to the table. IoT progress could end up being astonishing on a gigantic scale, with additionally created research and resources.
Prediction of Ozone Concentration using Feed Forward Back Propagation Neural Network (FFBP-NN)
Authors:   Faculty of Ocean Engineering Technology & Informatics, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia., Ghazali* Nurul Adyani , Suhaimi Norhazlina ,   Faculty of Ocean Engineering Technology & Informatics, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia., Japeri Ahmad Zia Ul-Saufie Mohamad ,   Faculty of Computer and Mathematical Science, Universiti Teknologi MARA, 13500, Permatang Pauh, Pulau Pinang, Malaysia.
Published: December 2019

Air pollution has been an ongoing problem in Malaysia. One of the major air quality issue in Malaysia is high concentrations of ozone in urban area. Rapid increase in vehicles number and fossil fuel consumption in Malaysia cause the emission of ozone and their precursors especially nitrogen oxides increasing sharply. This research focus on daytime and nighttime ozone concentration at Kuala Terengganu, Malaysia. The aim of this study is to predict ozone concentration using feed forward back propagation neural network (FFBP-NN) with two hidden layers. Five performance indicators were used to evaluate the models performances which are normalized absolute error (NAE), root mean squared error (RMSE), index of agreement (IA), prediction accuracy (PA) and coefficient of determination (R2). Result show that FFBP-NN with 2 hidden layers model gives good performance for prediction of ozone concentration with high accuracy measures (IA=0.9551, PA=0.8453, R2=0.8402) and small error measures (NAE=0.1642, RMSE=4.4958) for daytime and nighttime (IA=0.9541, PA=0.8429, R2=0.8358, NAE=0.2160, RMSE=3.2485). The result from this study provides a reference for city council to improve the existing guidelines and to plan an effective mitigation measures to monitor the status of air quality towards a sustainable environment.
Human Resources Accounting: An Analysis of State Bank of India’s Income and It’s Expenditure Incurred on Human Resources
Authors:   Ph.D. Research Scholar, Department of Commerce, Delhi School of Economics, University of Delhi(Assistant Professor Vivekananda College University of Delhi, Meena* Mukesh Kumar
Published: December 2019

As We Know In The 21st Century All The Organizations Are Facing Competition. The Service Sector Is The Major Contributor Throughout The World Economy. In The Service Sector Employees Play An Important Role. Because Of The Quality Of Service Depends On The Employees Who Are Serving That Service. In That Support Objective Of Our Study Is To Trend In Earnings Of The Organization And Expenditure Incurred On Employees By The Organization. SBI Is The Leading Public Sector Bank, So We Have Collected Data From Annual Reports Of The SBI Bank From The Period Of 2009 To 2019. After Analyzing The Data We Found The Correlation Between Total Income Of SBI And Expenditure Incurred By SBI On Their Employees. On The Basis Of This Study, We Conclude That Employees Play An Important Role In The Organization. And Organizations Are Just Increasing Expenditure On Employees In The Same Trend Of The Organization's Income. The Organization Should Put Employees On The Balance Sheet As Assets. Organizations Are Still Showing Employees As Expenditure. In Coming Future, If The Organization Will Recognize Employees' Contributions That Will Lead To More Satisfaction In The Employees And This Boost In Satisfaction Will Improve The Performance Of Employees Due To That The Overall Performance Of The Organization Will Improve.
Simulation of Impeller Exit Flows of A Centrifugal Blower
Authors:   School of Mechanical Sciences, Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Padur 603 103, Tamil Nadu, India., S* Seralathan , R Balaji ,   School of Mechanical Sciences, Hindustan Institute of Technology and Science, Padur 603 103, Tamil Nadu, India., Nadarajan Mukesh ,   School of Mechanical Sciences, Hindustan Institute of Technology and Science, Padur 603 103, Tamil Nadu, India., Ahamed A Ijas ,   School of Mechanical Sciences, Hindustan Institute of Technology and Science, Padur 603 103, Tamil Nadu, India., V Hariram ,   School of Mechanical Sciences, Hindustan Institute of Technology and Science, Padur 603 103, Tamil Nadu, India.
Published: December 2019

The flow through centrifugal impeller is highly non uniform due to formation of regions with different energy level. These region mixes at the exit of the impeller leading to loss and bringing down the efficiency of the centrifugal impeller. The present study focus on analyzing the flow through an impeller and investigating the impeller exit flows. The simulations are carried out for various mass flow rates at design and off design conditions. The velocity vectors observed depicts the regions of jet along the pressure side and wake at the suction side. The contours of total pressure and velocity depict the diffusion process that occurs within the impeller and its exit. Non uniform flow is observed along the circumferential direction of the impeller. These non uniform flow leads to secondary flow as well as loss in total pressure thereby reducing the efficiency of the centrifugal impeller.
High Performance Predictive Analytics in IoT
Authors:   Computer Application, Dr. APJ Abdul Kalam University, Indore, India, Rajpoot* Sandeep Singh , Verma Dr. Dhanraj ,   Computer Application, Dr. APJ Abdul Kalam University, Indore, India,
Published: December 2019

Internet of things (IoT) is a quick-moving gathering of web associated sensors implanted in a wide-extending assortment of physical articles. While things can be any physical item (energize or lifeless) on the planet, to which you could associate or implant a sensor. Sensors can take countless potential estimations. Sensors produce gigantic measures of new, organized, unstructured, ongoing information, and structures enormous information. IoT information is exceptionally huge and confused, which can give genuine-time setting and supposition data about genuine articles or nature. Among the different challenges that the present IoT is facing, the three prime areas of concern are, need of efficient framework to receive IoT data, a need of a new scalable parallel indexing technique for efficiently storing IoT data and securing IoT generated data at all the stages i.e. from the edge devices to the cloud. A new efficient framework is introduced, which can retrieve meaningful information from these IoT devices and efficiently index it. For processing such enormous real time data generated from IoT devices, new techniques are introducing which are scalable and secure. The research proposes a general IoT network architecture. It describes the interconnectivity among the different things such as sensors, receivers and cloud. The proposed architecture efficiently receives real time data from all the sensors. The prime focus is on the elimination of the existing issues in IoT. Along with this, the provision has to make for standard future proofing against these new proposed schemes.
Developing Alumni Relationship Management using Thai Speech Recognition on Mobile Application
Authors:   Assistant Professor with the Information Technology Department, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Thailand, Nuanmeesriis* Sumitra
Published: December 2019

Alumni are one of the most significant assets for the success of universities. After graduation, they enter a new society, have work and family responsibilities which change over time according to their age and economic status. It becomes more difficult to communicate between friends and university. This situation is challenging to collect up-to-date information about alumni from a university database as well as sharing it with all alumni. This article demonstrates the alumni relationship management (ARM) using speech recognition for the mobile application on smartphones. It has been designed and developed for Thai speech recognition to facilitate alumni especially the elderly who may have vision problems or typing by applied the ionic framework to support both iOS and Android. The contents were evaluated by five experts to identify each feature of the developed mobile application. Afterward, the application was evaluated by one hundred twenty alumni. The learning post-test results scored higher than the pre-test results. The effectiveness evaluation results in terms of the accessibility barriers at the high-level while being used has high consensus.
Pancreatic Tumor Segmentation Based on Optimized K-Means Clustering and Saliency Map Model
Authors:   Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India., A* Sindhu. , Radha Dr.V. ,   Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.
Published: December 2019

Segmentation of positron emission tomography (PET) plays a major role in research and clinical applications. The segmentation of pancreatic tumors using PET / CT is challenging due to a significant amount of noise that may result in serious segmentation inaccuracies. The evaluation of the results of segmentation in medical imaging is due to the presence of a gold standard. Therefore, the performance evaluation of these methods would be necessary. This paper suggested a new object segmentation method that is based on K-means clustering with Saliency Maps. The K-means clustering approach restricts every pixel of the image that belongs to a single cluster. One drawback with using the K-means algorithm to segment objects is that segments are not connected and can be widely scattered. It is known that using saliency region, the approximate location of the desired object in the map can easily be identified. In this proposed method, the saliency map is used to distinguish the desired object cluster from the image from the background cluster, and then, to map the object clusters together Experimental results shows that the proposed algorithm outperforms dramatically in terms of visual plausibility and computational cost compared to state-of - the-art methods and achieves excellent performance for object segmentation.
Demand Side Management Technique to Optimally Schedule Electric Vehicle Loads in Smart Grid
Authors:   B.Tech, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Nikhanj* G. Harsha , Kumar G. D. V. N. S. L. ,   B.Tech, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Ganapaneni Swapna ,   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Moulali Sk. ,   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: December 2019

Demand-side management (DSM) in smart grids helps the problem of reducing peak load of utilities during certain hourly periods. Based on DSM techniques, peak load hours can be equalized to non-peak load hours therefore users will have less bill payments. In this paper optimal scheduling of Electric Vehicles (EVs) is done based on an objective function formulated to minimize the load variations. Firstly, hourly consumption of load during a day at Koneru Lakshmaiah Education Foundation is considered, EVs load is assumed and flattened the aggregated load curve by optimally scheduling the EVs during off peak hours.
Audio Event Identification and Classification for Cricket Sports using LSTM
Authors:   School of Electronics Engineering, Vellore Institute of Technology, Chennai, India., N.K* Pooja , Alex* John Sahaya Rani ,   School of Electronics Engineering, Vellore Institute of Technology, Chennai, India.
Published: December 2019

Audio event identification is an emerging research topic to augment the automation of audio tagging, context-based audio event retrieval, audio surveillance and much more. In this research work, audio event classification for cricket commentary is done by using long short term memory (LSTM) neural network. Mel-frequency cepstral coefficients (MFCC) features are extracted from the audio commentary and trained with LSTM neural network. The trained LSTM network is validated and attained an accuracy of 95%.
Intelligent Intuitionistic Fuzzy with Elephant Swarm Behaviour Based Rule Pruning for Early Detection of Alzheimer in Heterogeneous Multidomain Datasets
Authors:   Research Scholar,Department of MCA,Hindusthan College of Arts and Science, C* Dhanusha , Kumar Dr.A.V Senthil ,   Professor, Department of MCA, Hindusthan College of Arts and Science,
Published: December 2019

In this Digital age, a rapid advancement in rise of both communication and information technologies provide many services by incorporating intelligent system of automated health assessment of resident welfare. This is achieved by tracking elderly persons activities using smart home technologies and with this activity-based learning, it helps to discover individuals suffering from early stage of Alzheimer can be predicted without distributing their living style. The main purpose of this paper is to use two different domains of datasets for predicting the alzheimer’s in elderly person during its initial stage. Thus, this work uses ubiquitous computing technologies like smart home dataset which collects the daily activities of individuals and as the clinical dataset for prediction of alzheimer’s. The objective of this proposed work is to handle the hesitancy of uncertainty by introducing intelligent intuitionistic fuzzy classifier, which inhibits irrelevant rule generation by acquiring the knowledge of elephant swarm behavior (IIF-ESB). Using elephant swarm search behavior, the rules generated by intuitionistic fuzzy are finetuned to ovoid overfitting problem and thus it eliminates the irrelevant rules. The selected potential rules highly influence the accuracy rate of the prediction model in presence of uncertainty. Performance result of the proposed model (IIF-ESB) proved that with the ability to handle the impreciseness in prediction of alzheimer’s, the usage of degree of hesitancy and intelligent of elephant swarm searching behaviour increases the accurate prediction rate and decrease the misclassification rate considerably while compared with existing prediction models.
Design and Analysis of 3d Printed Gear for Automobile Wind Wiper
Authors:   Associate Professor, Dept. of ME, S V College of Engineering, Tirupati, Rajesh* N. , Suresh K. ,   Assistant Professor, Dept. of ME, C R Engineering College, Tirupati, Theja P. Charan ,   Assistant Professor, Dept. of ME, S V College of Engineering, Tirupati, Rao P. Punna ,   Assistant Professor, Dept. of ME, S V College of Engineering, Tirupati, Reddy T. Pratheep ,   Assistant Professor, Dept. of ME, S V College of Engineering, Tirupati
Published: December 2019

This Work Presents The State Of Art Concerning The Current Achievements In The Field Of 3d Printing. 3d Printing Offers Many Advantages In The Fabrication Of Composites, Including High Precision, Cost Effective, Minimize Time And Customized Geometry. Creation Of An Appropriate Model To Manufacture A Product Using 3d Printers Is Possible With The Help Of Various Modelling Programs Or Software. One Of The Most Popular Formats For Sharing Such Models Is Stl (Standard Triangle Language) Format. In This Paper, Automobile Wind Wiper Gear Is Modelled Using Autodesk Fusion-360 Software And Fusion Deposition Method (Fdm) Process Is Used For Printing The Gear In 3d Printing Machine With Pla (Poly Lactic Acid) Material To Print The Selected Automobile Gear And Its Analysis Is Performed.
Ranking and Similarity Measures of Interval-Valued Pentagonal Fuzzy Numbers
Authors:   PG and Research Department of Mathematics, Loyola College, Chennai, India., Minj* Ajay , Pathinathan T. ,   PG and Research Department of Mathematics, Loyola College, Chennai, India.
Published: December 2019

We define generalized interval-valued pentagonal fuzzy numbers. Based on the height of the lower and upper pentagonal fuzzy numbers we propose to categorize interval-valued pentagonal fuzzy numbers into three different categories. Using signed distance concept de-fuzzification of interval-valued pentagonal fuzzy numbers is proposed and mathematical formulas are derived using   cut representations. We also introduce two similarity measures for interval-valued pentagonal fuzzy numbers based on geometric distance, area and height of pentagonal fuzzy numbers and geometric distance, perimeter and height of pentagonal fuzzy numbers respectively. Algorithms for finding de-fuzzification value and similarity measures are proposed with flow-chart illustration.
Structural Behaviour Fly ash and Ferrochrome ash Based Geopolymer Concrete with Recycled Aggregate
Authors:   Postgraduate student, School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Saha* Srishti , Saha* Dr. Purnachandra ,   Associate Professor, School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Mohanty Dr. Tribikram ,   Associate Professor School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
Published: December 2019

Recycled aggregates are the construction demolition wastes which can be used in concrete industry to reduce the carbon footprint of the environment. This paper deals with the structural behaviour of reinforced concrete beam made with different percentages of recycled aggregate as coarse aggregate on a novel geopolymer concrete consist of fly ash and ferrochrome ash as binder. Structural behaviour of RCC beam with 10% and 20% recycled aggregate in geopolymer concrete are studied and compared to the 100% natural coarse aggregate. Experimental results revealed that the up to 10% replacement of recycled aggregate can achieve strength equal to control concrete and it can be the recommended percentage of RCA for concrete industry.
Exploring Feasibility of Incorporating Vertical Gardens in Indian Context
Authors:   Manipal School of Architecture and Planning, Manipal University, Manipal. Karnataka., Dash* Shanta Pragyan , Boby Neha Mary ,   Manipal School of Architecture and Planning, Manipal University, Manipal. Karnataka., Shetty Deepika ,   Manipal School of Architecture and Planning, Manipal University, Manipal. Karnataka.
Published: December 2019

Urbanization which is one of the major problems in this century, has resulted in many environmental problems such as increased number of concrete buildings thereby reducing the requirement of open spaces in and around. Even though urbanization has reduced the green areas of the city, it has provided a platform for the development of the vertical gardening. The vertical gardens are gardens that covers building facades walls using various plant species. The vertical gardens not only increase urban green areas but also have some functions such as sound and heat isolation, energy productivity, air quality improvement, heat island reduction, aesthetics, and positive contribution to human psychology. However, factors such as constant maintenance difficulties, high cost, lack of knowledge and consciousness in vertical gardens are preparing for the aesthetic purposes and preventing the spread of applications. The research aims at exploring various factors that affect the implementation of vertical gardens according to Indian conditions in warm and humid climate for a low rise building and also analyses about the different systems and typology of vertical gardens. The intent of the paper is to determine different strategies that could be adopted to implement vertical landscaping in Indian context exploring its feasibility of implementation.