bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Allowance Estimation Technique
Authors:   Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh., Hasan* Md. Abul , Khan Md. Ashikur Rahman ,   Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh., Ahammad Ishtiaq ,   Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh., Uddin Main ,   Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh., Khan Tanvir Zaman ,   Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh.
Published: February 2020

Generally the miscellaneous allowances or remuneration of the employees of an organisation are calculated manually. Particularly the remuneration of a faculty of an institute concerning examination is calculated manually. Sometimes the faculty has to fill-up a form to write distinct required information. This work is seemed cumbersome. It is a complex process and takes time. It bears scope of numerous errors. In this perspective, this research work aims to develop a digital system. It will take less time. It is very easier in estimating the allowances. The obtained result is accurate. The faculty or employee of an institute or organization can use this digital system in order to enumeration their remuneration related with examination. It is very effective process. Huge number of individuals as well as organization will be benefited using this digital system. This digital system is developed for desktop application (windows) and web based application. As a desktop application user can use this system without internet. As a web based application user must need internet. The desktop application is being developed using Dot net framework using C# programming language and the web based application is being developed using PHP, JavaScript, HTML, JQuery and CSS and DBMS like MySQL, Bootstrap, Laravel Framework.
Muscular Artifacts Removal from Electroencephalographic Data
Authors:   Research Scholar, Dept. of ECE, Sri SatyaSai University of Technology & Medical Sciences, Sehore, Bhopal-Indore Road, Madhya Pradesh, India., Reddy* G. Santhosh , Chitra Dr. C. ,   Research Guide, Dept. of ECE, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal Indore Road, Madhya Pradesh, India.
Published: February 2020

The Electroencephalogram is frequently debased by muscle artifacts. Electroencephalogramis a generally utilized record method for the investigation of more mind associated infections, for example, epilepsy. The identification and elimination of muscle-artifacts from the Electroencephalogram signal represents a genuine test and is significant for the solid translation of Electroencephalogram-based computableactions. In this paper, an automatic strategy for identification and removal of muscle artifacts from Electroencephalogram signals, in light of free part investigation is presented. To this end, we exploid the way that the Electroencephalogram signal may display adjuussionsted auto-correlation structure and unearthly attributes for the period of when it is stained by muscle action. Thusly, we design classifiers so as to naturally separate among sullied and non-debased EEG ages utilizing highlights dependent on the previously mentioned amounts and look at their presentation on simulated data and in Electroencephalogram recordings got from patients with epilepsy.
Predicting Autism Spectrum Disorder using Machine Learning Technique
Authors:   King Hussein School of Computing Sciences Princess Sumaya University for Technology (PSUT), Jordan., Alwidian* Jaber , Elhassan Ammar ,   King Hussein School of Computing Sciences Princess Sumaya University for Technology (PSUT), Jordan., Ghnemat Rawan ,   King Hussein School of Computing Sciences Princess Sumaya University for Technology (PSUT), Jordan.
Published: February 2020

Autism Spectrum Disorder (ASD) is a psychiatric disorder that puts constraints on the ability to use of cognitive, linguistic, communicative, and social skills. Recently, many data mining techniques employed to serve this domain by determining the main features of the condition and the correlation between them. In this article, we investigate the Association Classification (AC) technique as a data mining technique in predicting whether an individual has autism or not. Accordingly, seven well-known algorithms are selected to conduct analysis and evaluation of the performance of the AC technique in term of identifying correlations between the features to help decide early on whether an individual has autism; this is particularly significant for children. The evaluation for the behavior and the performance in the prediction tasks for the AC algorithms was conducted for the common metrics of including Precision, Accuracy F-Measure as well as Recall. Finally, a comparative performance analysis among the algorithms was used as final result for the study. The results show better performance for the WCBA algorithm in most test scenarios with accuracy of 97 % although, the majority of algorithms exhibited excellent accuracy when applied in this domain.
Density Based Emergency Vehicle Detection and Traffic Signal Controlling using Image Processing
Authors:   Assistant Professor, Cse Department, Pace Institute Of Technology & Sciences, Ongole, Ap, India, Vikruthi* Sriharsha , Jyothi E.V.N. ,   Associate Professor, Cse Department,Pace Institute Of Technology & Sciences, Ongole, Ap, India, Venkatasubbareddy Pallamreddy ,   Associate Professor, Cse Department, Pace Institute Of Technology & Sciences, Ongole, Ap, India
Published: February 2020

In present day generation, the number of vehicles is increased because of increase in population. Hence in this paper, the design of vehicle detection and traffic control signal is implemented by using processing of image. The proposed system main intent is to acquire the images for the vehicle and control the traffic signal. Firstly an image is captures from the web camera, which is placed in traffic control area on the road. After this the traffic density is calculated from the obtained images. Basically, this image enhancement performs its operation in two forms they are operating phase and learning phase. Here the captured image as enhanced by using the image enhancement method. Hence the main advantage of this proposes system is that it processes the entire operation in simple way with high speed. The proposed system will capture the images of road areas in effective way. Hence the propose system has various features which will determine the color, width and many other. The proposed implemented system is mat lab software to prevent congestion of heavy traffic.
Assessment on Brain Tumor Detection Techniques in Hyperintense Mr Images
Authors:   Research Scholar, Department of Computer Science, Vinayaka Mission’s Research Foundation , Ariyanoor, Salem-636308, Tamilnadu, India., Jefferson* B. , Shunmugasundaram Dr. R. S. ,   Professor, Department of Computer Science and Engineering, V.M.K.V. Engineering College, Periya Seeragapadi, Salem - 636 308, Tamilnadu, India.
Published: February 2020

Brain tumors have different characteristics such as shape, size, location, and image intensities. Magnetic-resonance images (MRIs) typically have a degree of noise and randomness associated with the natural random nature of brain structure. MRI is a profoundly created medical imaging strategy giving a range of data about the individual’s delicate tissue structure. Even though it gives a rich data, the complex dynamics of the tumor evolution cannot be captured perfectly because of the uncertainty in the tumor segmentations. Different methods are available to identify and segment a brain tumor. Stages of medical image processing in brain tumor detection are discussed in this paper and overview of the analogous papers is quoted by analyzing several research papers. This paper provides delving of technologies which can be used to prognosticate brain tumor.
Establishing Climate Responsive Building Design Strategies using Climate Consultant
Authors:   Ph.D Scholar, Department of Civil Engineering, Suresh Gyan Vihar University, Mahal Rd, Jaipur, Rajasthan, India., Mwizerwa* Fabrice , Gupta Mukesh Kr ,   Department of Center of Excellence - Renewable and Sustainable Energy Studies, Suresh Gyan Vihar University, Mahal Rd, Jaipur, Rajasthan, India.
Published: February 2020

Climate responsive building has become one of the most effective approach to achieve sustainability in buildings. With the modern various innovations and diversified sophisticated technologies available nowadays in the building sector, people are tending to adopt all of this latest cutting-edge technology available on the building construction market regardless of the requirements of their building’s project local climate. In this research study climate consultant software (an energy design tool) was utilized to give an appropriate understanding of Gisenyi climate and to eventually establish building design strategies matching with Gisenyi climate. The outcomes of this research work show that it is needless to adopt active or mechanical design strategies for Gisenyi climate as for this type of climate thermal comfort zone of the occupant can be best achieved through the implementation of only passive design strategies
A Novel Composite Method using the Simplified Cuckoo Optimization Algorithm and Harmony Search for Cancer Classification
Authors:   Ph.D Research Scholar, Department of Computer Science, Sri Ramakrishna College of Arts & Science for women, Coimbatore, India., Sofia* M. , Tajunisha Dr.N. ,   Associate Professor, Department of Computer Science, Sri Ramakrishna College of Arts & Science for women, Coimbatore, India.
Published: February 2020

For each malignant development type, simply slight characteristics are using. The quality perseverance work remains a difficult 1. To conquer this issue, all of us propose the double degree quality dedication Technique known as MRMR-SCOA-HS. Within the principal stage, the base repeating and max-imam pertinence (MRMR) highlight willpower is employed to pick a subsection, subdivision, subgroup, subcategory, subclass of substantial qualities. The actual favored features are after that nourished right into a covering set up that combine another computation, SCOA-HS, making use of the help vector machine like a classifier. The particular strategy had been implemented in order to four microarray datasets, and also the exhibition has been broke down through forget about one particular cross-acknowledgment method. Temporary performance investigation from the expert introduced strategy to developmental computations suggested that this proposed calculations amazing is better than other program in selecting a less amount of qualities whilst safeguarding the greatest order accuracy. The methods in the pre-owned attributes were furthermore explored, also it was accepted that they select qualities tend to be organically vital that you every malignancy type.
Security Improved Chicken Swarm Optimization Based A* Routing Algorithm on MANETs
Authors:   Research Scholar, Department of CSE GIT, GITAM Deemed to be University, Visakhapatnam, Devi* Gondi Yasoda , Rao Dr. Gurrala Venkateswara ,   Department of CSE, GIT, GITAM Deemed to be University, Visakhapatnam, India.
Published: February 2020

The mobile devices usage has been widespread, which directly impacts the increase of mobile communication, the increased usage of Mobile Ad-hoc networks(MANETs) has brought a rapid growth in the technology development. MANETs can be deployed in any environment conveniently as it comes under the category of ad-hoc networks which is infrastructureless. Due to flexibility of deployment features, it is compatible with other networks like PAN, LAN, etc.,. MANET is applicable in many applications like rescue of emergency disasters, military operations and other special environments where wired system may not support and of urgency. Since, MANETs are having the property of infrastructureless, nature of topology of network being dynamic, and lack of authority certification leads to certain problems with regard to security from attackers. In MANETs high attention should also be given to security parameter along with other parameters for efficient routing. With the aim of facing the possibility of malicious node attacks, the proposed paper presents the technique of detecting the malicious nodes attacks caused form two major attacks like blackhole and wormhole attacks are detected and prevented by Cooperative Bait Detection Scheme (CBDS). Once those attacks are prevented, the routing efficiency in MANETs for Chicken Swam Optimization based A* algorithm is improved, which is a computer algorithm that is broadly deployed in path finding and graph traversal. The comparative examination of Optimized A*, Ad-hoc On-Demand Distance Vector (AODV) with the proposed model against attacks, enhances the performance.
Quantitative Analysis of Requirement Elicitation Techniques through FANP: Security Perspective
Authors:   Department of Inforamation Technology, Babasaheb Bhimrao Ambedkar University, Lucknow-226025, Uttar Pradesh, India, Singh Virendra , Pandey* Dhirendra ,   Department of Inforamation Technology, Babasaheb Bhimrao Ambedkar University, Lucknow-226025, Uttar Pradesh, India, Khan Mohd Waris ,   Department of Inforamation Technology, Babasaheb Bhimrao Ambedkar University, Lucknow-226025, Uttar Pradesh, India, Sahu Kavita ,   Department of Computer Science Dr. Shankutala Misra National Rehabilation University Lucknow-226017 Uttar Pradesh
Published: February 2020

The last few decades have shown an incredible rise in the production of different types of software according to the user’s needs. Requirement Elicitation techniques for security requirements are one of the most crucial stage of software development life cycle. Based on the Analytical Network Process (ANP) process, this paper analyzes the weighting of elicitation techniques for security requirements in the production of software applications. In other words, the elicitation strategies of security requirements play an important role in the development of secure software. It also analyzes the relationship between security requirement elicitation techniques and their objectives through the use of ANP method and also demonstrates the application of fuzzy ANP method to achieve higher accuracy. When developing a secure software framework, the results provide a better platform. With these facts in mind, the proposed study will also clarify the priority weights of security requirement elicitation techniques that can be used to analyze trade-offs between competing software security requirement elicitation techniques and provide a new way for developers when constructing the secure software.
Hybrid Technique for Data Scrutiny using Artificial Intelligence
Authors:   Associate Professor, Computer Science Department, St. Andrews institute of technology and management, Gurugram, India, Dr. Ritika*  , Ms. Reenu  ,   Assistant Professor, Computer Science Department, World College of technology and management, Gurugram, India, Mr. Rishabhbhardwaj  ,   Assistant Professor, Mechanical Department, St. Andrews institute of technology and management, Gurugram, India
Published: February 2020

Today’s time is of artificial intelligence. We are trying to reduce the search space by some methods as uncertain data is also used in the system to solve problems. To manage our database we use hybrid techniques. Like Fuzzy expert system, fuzzy genetic system, in this paper we will see how can we use such system in solving an application.
FNN and Auto Encoder Deep Learning-Based Algorithm for Android Cyber Security
Authors:   Assistant Professor, Sinhgad Academy of Engineering, Kondhwa Pune, India., Vanjire* Seema , Lakshmi Dr. M. ,   Professor, Department of CSE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Kuthambakkam, Tamil Nadu, India.
Published: February 2020

Android is susceptible to malware attacks due to its open architecture, large user base and access to its code. Mobile or android malware attacks are increasing from last year. These are common threats for every internet-accessible device. From Researchers Point of view 50% increase in cyber-attacks targeting Android Mobile phones since last year. Malware attackers increasingly turning their attention to attacking smartphones with credential-theft, surveillance, and malicious advertising. Security investigation in the android mobile system has relied on analysis for malware or threat detection using binary samples or system calls with behavior profile for malicious applications is generated and then analyzed. The resulting report is then used to detect android application malware or threats using manual features. To dispose of malicious applications in the mobile device, we propose an Android malware detection system using deep learning techniques which gives security for mobile or android. FNN(Fully-connected FeedForward Deep Neural Networks) and AutoEncoder algorithm from deep learning provide Extensive experiments on a real-world dataset that reaches to an accuracy of 95 %. These papers explain Deep learning FNN(Fully-connected FeedForward Deep Neural Networks) and AutoEncoder approach for android malware detection.
Optimal Allocation of UPFC and IPFC in Network Considering Sensitivity of Line Flows under Single Line Contingency
Authors:   Department of EEE, Aditya Engineering College (A), ADB Road, Aditya Nagar, Surampalem, India., Rao* V. Srinivasa , Rao R. Srinivasa ,   Department of EEE, University College of Engineering, JNTUK, Kakinada, India., Ravindra* M. ,   Department of EEE, Aditya College of Engineering, ADB Road, Aditya Nagar, Surampalem, India.
Published: February 2020

This paper presents, optimal location for deployment of Unified Power Flow Controller (UPFC) and Interline Power Flow Controller (IPFC) in network considering sensitivity of line flows under single contingency. A sensitive approach is proposed which is considered based on Ranking Index (RI) and Performance Index (PI). A unitary change of power flow (PF) in each transmission line after outage of a branch element can be obtained from proposed index. The proposed Index is used to quantify loading level of network after a given outage. Contingencies are structured in descending order depending on value of proposed Index. Sensitivity factors are obtained by differentiating PF indices subject to parameters of UPFC and IPFC devices. Optimal deployment of UPFC and IPFC device is considered by the value of sensitivity factors attained by considering line outages in order of their severities which is given by proposed Index. The efficacy of proposed approach is computed and programmed on 5bus and IEEE 14bus networks under MATLAB environment.
Prediction of Fraud App Detection Techniques
Authors:   Student, Computer science and Engineering, Saveetha University, Chennai, India., Gopinath* P. , Ariyamala V. ,   Associate Professor, Computer science and Engineering, Saveetha University, Chennai, India.
Published: February 2020

The use of mobile has increased a lot in day to day life. In this advance technology new apps are been discovered a lot and these apps are available in many app markets. The app market contains a lot of similar apps in it and we confuse as which is the apt one to use. The apps some are useful and some are fraud. The detecting fraud app helps user to easily identify the real one and download it. The revelation of fraud app through analysis of review, rating and ranking using datamining technique. The analysis of the app using sentiment analysis technique i.e. a datamining technique used to analyse the sentiment of the reviews. The analysis of the review predicts the positive and negative rating apps separately. The classification score to extract rating and ranking evidences is given with fuzzy score classification. The main objective of this paper is to survey on different techniques and methodology used for detecting fraud apps.
View-Independent Discriminant Analysis with Gradient Self-Similarities for Action Recognition under Multiple Views
Authors:   Research Scholar, Dept. of Computer Science Engineering, Tirumala Engineering College, Hyderabad, Telangana, India., Reddy* K Pradeep , Naidu Dr. G Apparao ,   Professor, Dept. of Computer Science Engineering, JB Institute of Engineering and Technology, Hyderabad, Telangana, India., Vardhan Dr. B Vishnu ,   Professor, Dept. of Computer Science Engineering, Jawahar Lal Technological University College of Engineering, Manthani, Telangana, India.
Published: February 2020

In Multi-View Human Action Recognition, the actions are not of single view and hence to achieve an effective recognition performance under multi-view actions, there is a need of multi-view subclass discrimination analysis. Based on this inspiration, this paper proposed a novel action recognition framework based on the Subclass Discriminant Analysis (SDA), an extended version of Linear Discriminant Analysis (LDA). Further, a new key frames selection method is proposed based on Self-Similarity Matrix (SSM), called as Gradient SSM (GSSM). Once the key frames are selected, a composite feature set is extracted through three different set filters such as Gaussian Filter, Gabor filter and Wavelet Filter. Next, the SDA obtain an optimal feature subspace for every action under multiple Views. Finally the SVM algorithm classifies the action. The proposed framework is systematically evaluated on IXMAS dataset and NIXMAS dataset. Experimental results enumerate that our method outperforms the conventional techniques in terms of recognition accuracy.
Mobile Phone Rating System with Feature Based Summarization
Authors:   Student, B. Tech, Department of Computer Science and Engineering, (CSE), Saveetha School of Engineering, Chennai, India., Kamasani* Maheswar Reddy , Rajan P.T. ,   Professor, Department of Computer Science and Engineering (CSE), Saveetha School of Engineering, Chennai, India.
Published: February 2020

These days the item reviewed by the shoppers when getting the products is developing quickly. For a preferred product, the quantity of surveys can be vast. However once it involves new product the amount of reviews concerning the products is incredibly less. Thus individuals won't be a lot of interested to shop for that product. And it takes a great deal of your time for the new product to be standard among the already existing competitors. This can be a giant disadvantage for sellers of the new product. In this paper a new product rating approach for mathematically and graphically analyzing sales of same type of products from different manufactures and with most frequent combination of items is proposed. In product sales market there is no specific rating for product of same type and combination of product purchasing pattern. By this we retrieve the best combination of products with mathematically rating. The most objective is to assist the mobile company to enhance the feature of the mobile supported the customer’s feedback. This helps the new product sellers to achieve quality for the standard of the products. For this purpose an internet site has been created in such the way that there'll be a communication between the shoppers, the mobile company and also the administration. The purpose of product is to fulfill need of customer; based upon it there are different companies which manufacture products of same type, by analyzing it mathematically best one can be calculated thing such as customer satisfaction, product efficiency, popularity among them. . The feature primarily based report is shown in type of graph for every mobile device supported purchasers feedback. This proposal is helpful for the corporate commerce a brand new product and additionally helps them to create their product in line with client necessities and improve their business.
A Novel Framework for NIDS Throuh Fast Knn Classifier on CICIDS 2017 Dataset
Authors:   Ph. D. scholar in the Dept. of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, India, Krishna* K. Vamsi , Swathi K. ,   Professor in the Department of CSE, NRI Institute of Technology, Vijayawada., Rao B.Basaveswara ,   Ph.D. scholars in the Dept. of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, India.
Published: February 2020

This paper investigates the performance of a Fast k-Nearest Neighbor Classifier (FkNN) for Network Intrusion Detection System (NIDS) on Cloud Environment. For this study Variance Index based Partial Distance Search (VIPDS) kNN [7] is adopted as an FkNN classifier. A benchmark dataset CICIDS2017[16] is considered for the evaluation process because it is a 78 featured dataset with most updated cloud related attacks. To achieve this objective a frame work is proposed for implementing FkNN and compared with kNN classifier by considering two performance measures Accuracy and computational time. This study explores the gain in the computational time without compromising the Accuracy while using FkNN instead of kNN over a large featured dataset. The conclusions are drawn as per the results obtained from the experiments conducted on CICIDS2017 dataset.
Sentiment Severity on Location-Based Social Network (LBSN) Data of Natural disasters
Authors:   Associate Professor, Department of Computer Science, Dr.Ambedkar Govt. Arts College, Vyasarpadi, Chennai, India., Shyamala* Dr. K , Kannan Vijay Kumar ,   Research Scholar, Department of computer science school of computing sciences, VELS Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, India., Dass. D Sheran ,   M.S, Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, Arizona, USA.
Published: February 2020

Social media emerged as one of the key components to reach disaster affected people, as they supplement planning and operational coordination. Sentiment analysis was expended to identify, extract or characterize subjective information, such as opinions, expressed in a tweet. The sentiment expressed is analyzed and is classified as positive or negative sentiment, which is not versatile enough to capture the exact sentiment conveyed by the user. Opinion mining is a machine learning process used to extract information conveyed by the user in the form of text. In this paper, the lexical analysis to sentiment analysis of twitter data is employed. Conventionally, the sentiment is conveyed using the polarity of the data but in this paper, sentiment intensity is employed to convey the sentiments. Performing sentiment analysis on tweets gives us the sentiment intensity conveyed by the user, which in turn is used to calculate the severity of the disaster event specified by the user. Further, it is also used to classify the tweets based on their severity. This paper proposes a methodology to extract relevant sentiment information from Location Based Social Network (LBSN) and suggests a unique scale to classify this information to help disaster management authority.
Desired Circulation Ratio for Natural Circulation in Water-Tube Boiler
Authors:   Ph.D. Research Scholar, Department of Mechanical Engineering, Maharashtra Institute of Technology Kothrud, Pune. SSPU (India), Elgandelwar* Atul M. , Jha R.S. ,   Ph.D. Research Scholar, School of Mechanical Engineering, MIT-WPU, Kothrud, Pune. (India), Lele Mandar M. ,   Professor, Department of Mechanical Engineering MIT College of Engineering Kothrud, Pune. SSPU (India)
Published: February 2020

The basic objective of the paper is to identify the desired circulation ratio for the natural circulation of water tube boilers in different operating conditions. This requires the basic study of heat flux and the mode of the boiling heat transfer, and the phenomenon like a departure from nucleate boiling and tube overheating. The parameters, which need to be studied are heat flux, pressure, dryness fraction, void fraction, liquid velocity and their impact on the required circulation ratio. The present work is to develop a circulation analysis model for the natural circulation of the water tube boiler and to check the boiler design for different failure modes. For a natural circulation boiler, the circulation ratio is one of the most important design parameters as the other design parameter like critical heat flux and skin temperature are mainly derived from the circulation ratio. The required circulation ratio can vary with the boiler pressure, liquid velocity and maximum heat flux. This study is intended to provide input for the safe and optimum design of a natural circulation boiler.
Stabilization of Leachate Effected Laterite Soil using Bio-Enzyme(Terrazyme)
Authors:   Assistant Professor, Department of Civil Engineering, Annamacharya Institute of Technology and Sciences,, Sameer* S. , Krishna T.Sai ,   Assistant Professor, Department of Civil Engineering, Annamacharya Institute of Technology and Sciences, Tirupati,Andhra Pradesh, India, Abhinav K.Sai ,   Assistant Professor, Department of Civil Engineering, Annamacharya Institute of Technology and Sciences, Tirupati,Andhra Pradesh, India, Dr..Narasimhulu  ,   Professor and Head of Department of Civil Engineering, Annamacharya Institute of Technology and Sciences, Tirupati, Andhra Pradesh, India
Published: February 2020

The present study provides an effective technique of improving properties of leachate effected soil using bio-enzyme named TERRAZYME.Soil pollution is an consequence especially in a country like INDIA unscientific disposal and dumping of solid waste leads to generation of leachate. High concentration of leachate has less pH value (i.e., acidic in nature) which reduces the particle size. Due to reduction in particle size the properties of soil are also effected. A laboratory testing program was carried out on soil to determine the behavior of leachate effected soil and terrazyme. For that we performed particle size analysis, compaction and California bearing ratio tests on 5% 10% and 15% leachate effected soil to vary the degree of contamination.Terrazyme is a natural non-toxic, non-flammable, non-corrosive liquid enzyme formulated fermented from vegetables that improves the engineering qualities of soil, facilitates higher soil compaction densities and increases stability. It can be used as soil stabilizer and also improve CBR value, durability and decreases the omc, plasticity index of soil. Terrazyme on soil is permanent and soil becomes bio-degradable in nature.So we used terrazyme as a stabilizing agent to improve the properties of leachate effected soil. By using this enzyme we can improve the strength effectively, mainly California bearing ratio.
Use of Composite Materials in RC Shear Wall
Authors:   Dept. of Civil Engg., HSBPVT’s COE, Kashti, Ahmednagar, SPPU, Pune, India,, Mahadik* Sanjivan , Gunaware Pravin ,   Dept. of Civil Engg., HSBPVT’s COE, Kashti, SPPU, Pune, India, Bhagat S.R. ,   Assoc. Prof. and Head, Dept. of Civil Engineering, DBATU, Lonere, India
Published: February 2020

Shear wall is the structural component provided in midrise and tall buildings to resist earthquake and wind forces. These walls are continuous from foundation to top of buildings. Many times the wall around lift and staircase shaft of a building is designed as a shear wall. Generally these are of reinforced concrete but may be of masonry, wood, steel etc. As these walls have to resist heavy lateral forces these are of heavy sections and have a dense reinforcement at lower part which results substantial amount of closely spaced transverse reinforcement causing reinforcement congestion in boundary element creating problem of construction and placing. Heavy reinforcement and large thickness is required at lower stage and in boundary element of these walls. Displacement capacity of RC structures is generally depends on the deformation capacity of the concrete. If large displacement capacity is to be attained, steel is provided in concrete to enhance concrete behavior, particularly compressive strain capacity. To achieve these goals and maintaining size of cross section in control, heavy reinforcement ratio is required to maintain which creates problem of reinforcement congestion. To overcome this problem of reinforcement congestion a small amount of ductile material like steel fibres may be added to concrete. Many researchers had tried to investigate the behavior of RC shear wall with different composites to improve its performance but very few had tried with concrete with steel fibres. Use of composite materials steel fibers in concrete found beneficial in many structural elements is tried in this research for shear wall. In this paper finite element analysis of shear wall model has been carried out to study and compare the behavior of normal concrete shear wall and steel fiber reinforced concrete shear wall with and without opening using ETABS software to know improvement in behaviour when subjected to lateral load by adding steel fibers in concrete.
Information and Communication Technology in Teaching and Learning: Perspectives on E-Learning at Higher Education Level
Authors:   Assistant Professor of Education, Alagappa University College of Education, Karaikudi - 630 003, Tamil Nadu, India, Jayachithra* Dr. J.
Published: February 2020

Technology can be a powerful tool for transforming learning. To be a successful teacher one should be learner always and should have the mind to comprehend and design new methodologies in their transaction process. E-Learning courseware is an effective model of teaching and learning framework that can enhance academic achievement of students. In this research, E-Learning courseware is developed for B.Ed curriculum and the effectiveness of E-Learning courseware is studied on academic achievement of Prospective teachers studying B.Ed course. 80 students studying B.Ed. course are selected as sample by convenient sampling method. 40 of which are assigned in the experimental group and 40 in the control group. Experimental Group is subjected to E-Learning courseware and the Control group is subjected to Conventional method of teaching, Pre-test – Post Test non-equivalent groups design is used for the study. Achievement test developed and validated by the researcher is administered to measure the academic achievement of the prospective teachers as pre-test and post-test. Effectiveness of E-Learning courseware is studied on academic achievement of Prospective teachers studying B.Ed course. In the analysis of data, t-test and descriptive analysis were used. Results showed that there is significant effect of E-Learning courseware in enhancing the academic achievement of Prospective Teachers. This research opens new avenues in teaching learning process which can empower students.
4239 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: E6720018520/2020©BEIESP DOI:10.35940/ijrte.E6720.018520 Journal Website: www.ijrte.org Data Obfuscation Technique for Security in Cloud Computing
Authors:   Information Technology Consultant, Nagpur, Tripathi* Dr. Diwakar Ramanuj
Published: February 2020

Cloud computing is at present a day's changes into the most crushed in marvels to use for enormous scale alliance or for person who need unmistakable structure organizations with least expense. Usually person's data is dealt with on open Cloud which is accessible to everybody for get to. These focal raises some issue in reverse to adaptable organizations gave by cloud suppliers, similar to Confidentiality, Integrity, Availability, Authorization and some more. Starting late, Lots of decisions are open to guarantee the data and most perfect ways is to use encryption. Encryption can't give enough confirmation while contemplating heaps of customers' fragile data. It in like manner eats up greater chance to perform encryption and translating process for every single inquiry. Moreover it is definitely not an OK practice to contemplate customer driven considering the way that once customer data is moved on Cloud premises, customer doesn't have direct control over this data. To empty load of Cloud server likewise to give acceptable security to customer's data, we propose a methodology by joining the two procedures viz. Jumbling and Encryption in this assessment paper. Customer data may be scrambled if protection is needed for its records or reports and the SaaS Cloud organization is reviewed using obscurity techniques. Using this two-way approach, we may assume that the proposed agreement provides sufficient protections for darkened access and safety of even open data on cloud servers. Our point is additionally to give appropriate assessment on data disordering for security in cloud computing.
Probabilistic Decision Based Average Trimmed Filter for the Removal of High-Density Salt and Pepper Noise
Authors:   School of Electronics Engineering, KIIT University, Bhubaneswar, India., Sen* Amit Prakash , Rout Nirmal Kumar ,   School of Electronics Engineering, KIIT University, Bhubaneswar, India.
Published: February 2020

The paper focuses on the evacuation of salt and pepper noise from a contaminated image. A probabilistic decision based average trimmed filter (PDBATF) is proposed for both high and low noise density. The proposed algorithm addresses the issue related to even number of noise-free pixel in trimmed median filter for the calculation of processing pixel. The proposed average trimmed filter is incorporated for low noise density while the proposed patch else average trimmed filter is applied for high noise density. Finally, they are combined together to develop the proposed PDBATF. The proposed algorithm show an excellent noise removal capability compared to the recently developed algorithms in terms of peak signal to noise ratio, image enhancement factor, mean absolute error and execution time. It works very efficiently in de-noising contaminated medical images such as chest-x-ray and malaria-blood-smear.
Implementation of Microcontroller to Control Solar Water Pump at Different Time Slots
Authors:   Asst. Prof, EEE Dept, GITAM school of technology, Bangalore, India., Pratyusha* M. , Reddy B. Nagi ,   Asst. Prof, EEE Dept, Vignana Bharathi Institute of Technology, Hyderabad, India, Kumar C. V. Vijay ,   Asst. Prof, EEE Dept, Vignana Bharathi Institute of Technology, Hyderabad, India.
Published: February 2020

Many people are using non renewable energy sources in high amount of their needs. Some Minerals are exhausting with the high usage, so it is obvious to depend on the renewable sources like solar & wind etc. In this paper a solar energy based water pump system with different time slots are proposed. The solar energy is converted into electrical energy by photovoltaic cells and it charges the battery. During Day time battery stores the energy. In this project AT89S52 microcontroller are used. For this microcontroller the program is written for giving different time slots. One 16*2 LCD display is using to see the status of system. For adjusting contract display one variable resistor called ‘preset’ is used. One sensor is used to observe the water level and to send data back to the microcontroller. The manual ON/OFF control of the system can be avoided with this sensor. This is a new method to operate motor / machine for a small duration. Buzzer gives a beep sound. A transistor is used to drive the relay during on time period; relay is used to control the pump. A switching diode is used to control the reverse EMF. The proposed system has the advantage of automatic switch off for the given time. This will be the one of best solutions for smart solar irrigation for farmers. In addition, this solar system controls the flow of water across the field.
Provision of Staged Onsite Wastewater Treatment Units at Environmental Floors of Multi-storeyed Building with Hydraulic and Structural Feasibility
Authors:   Research scholar at Savitribai Phule Pune University, Pune, India., Dewalkar* Snehal V. , Shastri Sameer S. ,   Head of Department, Civil engineering, Sinhgad College of Engineering, Pune, India. Ph. D. from Savitribai Phule Pune University, Pune, India.
Published: February 2020

In the present day context of urban areas in Indian climate, looking at the statistics of the operating efficiency of existing mechanically operated water treatment plants run by local governing bodies and even when huge costs are incurred in their maintenance, it is necessitated that an efficient wastewater treatment system suitable in Indian climatic conditions and that too efficient, self-operating with minimum interference and at a low-cost construction, operating and maintenance cost. Decentralized onsite and naturally operating treatment methods are much efficient, cost-effective and feasible for Indian context. In current research, Effective positioning and modeling of the non-mechanised, gravity-based wastewater treatment system is carried out at refuge floor which is coined to be proposed as “environmental floor” for G+32 storeyed residential building. Comparative analytical study for structural and seismic response of both the structures (with and without environmental floors) is performed to check feasibility of the treatment system and quantify the benefits arising from it. It is observed form obtained results that the system can be adopted as an ultimate sustainable solution for wastewater treatment in cities where otherwise a lot of unhygienic conditions prevail if centralized treatment plants are not efficiently working.
Flexural Strengthening of RC Tee Beams using Ferrocement
Authors:   Research scholar, Dept of Civil & Structural Engineering, Annamalai University, Chidambaram, Tamilnadu, India, Raghunathapandian* P. , Palani Dr. B. ,   Professor, Dept of Civil & Structural Engineering, Annamalai University, Chidambaram, Tamilnadu, India, Elango Dr. D. ,   Head, Dept of Civil Engineering, Valliammai Engineering College, Chengalpat, Tamilnadu, India
Published: February 2020

One of the cost-effective and most widely used methods of strengthening is the use of ferrocement lamination in the distressed element. In this investigation, 23 reinforced concrete Tee beams were tested for their flexural strength. Three sets of Tee beams were pre-damaged up to 60, 70, and 80 percent of the ultimate load level of control beams respectively. Beams pre-damaged up to 60% are designated as B1 and S1. Similarly 70% as B2 and S2 and 80% as B3 and S3. B1, B2 and B3 set (3 beams in each set) of beams were strengthened along soffit only using ferrocement. S1, S2 and S3 set (3 beams in each set) of beams were strengthened along with the side faces of the web only using ferrocement. After proper curing, all the strengthened beams were tested for their flexural strength. The results were compared with corresponding control beams and presented. Based on this investigation it is concluded that the flexural strength capacities of Reinforced concrete Tee beams strengthened with ferrocement are significantly increased.
Mechanical Strength Properties of Geopolycrete with GGBS for Composite Construction
Authors:   Ph.D Scholar, Department of Civil Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India., Lakshmi* P.T.Ayswariya , Maragatham Dr.S. ,   Professor & Dean, Department of Civil Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.
Published: February 2020

Concrete which is at high necessity is both economically and environmentally facing contradictions. Invoking this issue as the need of time, Geopolymer has made its existance into construction. But in further stage cement and river sand are both causing depletion to natural resource. The hybrid geopolycreteis eco-friendly, non-corrosive and good durability. Substantial research papers has reported the studies on GGBS &Geopolymer. Composite construction involves the technique in which material efficiency of two different materials go hand in hand. This paper explains the mechanical behavior of GGBS blended Geopolymer Concrete and the results are discussed for its application in composite slab. The hybrid geopolycrete of M25 grade is tested for strength and durability properties by casting test specimens. The design for the slab is performed manually.
Image Analysis using Non Negative Matrix Factorization
Authors:   Professor, Dept. of CSE,, Sri Venkateswara College of Engineering, Tirupati, Andhra Pradesh, India., Prasad* Dr. PESN Krishna , Kumar Dr. K. Pavan ,   Asst. Prof, Dept. of IT, PVP Siddhartha Institute of technology, Kanuru, Vijayawada, A.P, India, Suresh Dr. Y. ,   Asst. Prof, Dept. of IT, PVP Siddhartha Institute of technology, Kanuru, Vijayawada, A.P, India
Published: February 2020

Image analysis extracts the meaningful information from the images. This information is very much helpful to recognition and authentication. There are number of techniques available for image analysis. Image analysis can be used in analysis of the scene, image understanding and computer vision. Image analysis can be used in Medical image processing, Geology, optical character recognition and forensics. There are mainly four steps in the image analysis 1.image pre processing 2. Segmentation 3.feature extraction and 4. Classification and interpretation. Feature extraction is the main part for any image analysis. In this paper Multi modal biometric authentication system can be defined for security. In this process Non Negative Matrix Factorization (NMF) technique is used for feature extraction and for fusion Principle component analysis is used. After getting the features these can be encoding using Kronecker product. At the end Euclidean distance measure is used for authentication.
Load Frequency Control of Two Area Hydro-Thermal System considering GRCs and GDB Non Linearity’s with Intelligent Controller
Authors:   EEE department, vasireddy venkatadri institute of technology, Guntur, India., Srilekha J. , kalyan* Ch.Naga sai ,   EEE department, vasireddy venkatadri institute of technology, Guntur, India., Stanley G. ,   EEE department, vasireddy venkatadri institute of technology, Guntur, India., Suneetha K. ,   EEE department, vasireddy venkatadri institute of technology, Guntur, India., Thakreem Md.M. ,   EEE department, vasireddy venkatadri institute of technology, Guntur, India.
Published: February 2020

This paper focuses on design and development of intelligent based optimal secondary controller which could sustain with system dynamic conditions to maintain frequency and tie-line power exchange with in specified limits. For analysis purpose, a two area interconnected system comprising of thermal and hydro units in each area with system non linearity’s like generation rate constraints (GRC) and governor dead band theory (GDB) are considered to get more practical approach. System frequency and tie-line variations are observed in MATLAB/ SIMULINK platform for 1% step load perturbation (SLP) in area-1. Proportional- integral (PI), proportional-integral-derivative (PID) and Fuzzy-PID controllers are employed as secondary controllers one at a time, whose gains are optimized with Grey wolf optimization (GWO) algorithm. Later, the system dynamic responses are investigated by incorporating superconducting magnetic energy storage devices (SMES) in both areas and static synchronous series compensator (SSSC) placed in series with the tie-line. Investigation reveals the superiority of fuzzy controller with coordinated performance of SMES and SSSC in mitigating frequency deviations and tie-line power variations. Finally, sensitivity analysis is carried out to test robustness of proposed coordinated control scheme.