bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation and Categorization of Handwriting Patterns reflecting Sentiments.
Authors:   Computer Science Engineering, Chandigarh University, Mohali, India., Shabaz Mohammad , Garg Urvashi ,   Computer Science Engineering, Chandigarh University, Mohali, India.
Published: August 2019

Uniqueness lies in every living being that exists on the earth. It can be viewed through its behavior, walking, personality, dressing, cramming, writing and many more. Handwriting is an important aspect that reflects the uniqueness as a whole, but when it is restricted to find sentiments it does shows certain patterns. This research is dedicated to evaluate the handwriting patterns reflecting sentiments. The major challenge faced during this research is the mood of an individual while collecting the handwriting samples. The process starts, when an observer recites a joke and the audience is given a plane piece of paper and asked them to write “I LIKE IT” those who laugh or smile and “I DON’T LIKE IT” those who do not. The collected samples are then segmented at the depth of Letter ‘L’ which is either viewed as a parabola or straight line till it touches the Letter ‘I’ with image dimensions (160, 65) pixels. It is found that the value of the standard deviation of pixels goes to 14 those who laugh at their extreme and those who just smile goes to 8. Thus, it is concluded that the level of joy of an individual from smile to laugh is in between the standard deviation of pixel value ranging from 8 to 14. It can also be concluded that the handwriting changes immediately after laughing or listening a joke. Thus handwriting goes on changing when someone becomes joyful. Testing these patterns further on another blinded sample, the technique provides a result with an accuracy percentage of 97.
Energy Competence of Base Station in cellular Network
Authors:   Department of Electronics and Communication, Sathyabama Institute of Science and Technology, Chennai, India, Premalatha J. , Nisha Dr. Sahaya Anselin ,   Department of Electronics and Communication, Sathyabama Institute of Science and Technology, Chennai, India
Published: August 2019

Energy efficiency is the key concept of wireless communication to achieve green network. Green networking is the process that reduces consumption of energy as well for conserving bandwidth and also for any other process that will ultimately reduce energy use and, indirectly, the expense. With the rapid growth of technologies in wireless network and rapid increase of mobile users the problem of spectrum usage as well as energy consumption plays a vital role. As there is anexponential increase in the deployment of base station every year the power consumed by base station is the significant theme of intrigue. The increase in the number of base stations also leads to environment impact of CO2 emission which is normally due to powering up the base station which is located in remote areas as these off-grid sites are powered by diesel generators. It is been predicted that if this trend continues then the energy consumed by cellular network in future will lead to a serious problem.Thus, there has to be a tradeoff between the quantity of subscribers and the quantity of base station or otherwise it will affect the system throughput. In this paper a brief review of methods that have been used recently to improve the energy consumed by the base station is analyzed.
A Deep learning of Autism Spectrum Disorder using Naïve Bayes, IBk and J48 classifiers
Authors:   Assistant Professor, Department of Computer Science (PG), PSGR Krishnammal College for Women, Coimbatore, India., Gomathi S.
Published: August 2019

Deciding the right classification algorithm to classify and predict the disease is more important in the health care field. The eminence of prediction depends on the accuracy of the dataset and the machine learning method used to classify the dataset. Predicting autism behaviors through laboratory or image tests is very time consuming and expensive. With the advancement of machine learning (ML), autism can be predicted in the early stage. The main objective of the paper is to analyze the three classifiers Naïve Bayes, J48 and IBk (k-NN). An Autism Spectrum Disorder (ASD) diagnosis dataset with 21 attributes is obtained from the UCI machine learning repository. The attributes have experimented with the three classifiers using WEKA tool. 10-fold cross validation is used in all three classifiers. In the analysis, J48 shows the best accuracy compared with the other two classifiers. The architecture diagram is shown to depict the flow of the analysis. The Confusion matrix with other relevant results and figures are shown.
Improving Correctness of Logic Circuit using Self-Healing Built-In Logic Test Module in FPGA using Dynamic Partial Reconfiguration
Authors:   Department of Computer Science and Engineering, National Institute of Technology Puducherry, Karaikal, B.C. Dr. Manjith
Published: August 2019

As cloud servers continue to receive more and more applications and data, it starts using ASIC and FPGAs as accelerators for processor intensive applications. Because of the reconfiguration nature of FPGAs, it become a good choice rather than ASIC on cloud. Encryption is an application which happens frequently on cloud and takes lot of processor cycles which can be shifted to hardware accelerator for execution. The security of hardware circuit which is transferred as bitstream to the FPGA board is of major concern for security critical applications. The article proposes a novel logic authentication module that can check the authentication or correctness of selected parts of logic circuit any time after the circuit is burned into FPGA. In the proposed work, Advanced Encryption Standard (AES) circuit parts are checked for correctness by using in-built Secure Hash Algorithm (SHA) and corrected by Dynamic Partial Reconfiguration (DPR). After the bitstream is burned into FPGA, a proposed software module can select a part or entire circuit for checking authentication with multiple sample inputs. Without the proposed method, any error after the circuit creation cannot be identified or corrected. Additionally, small faults in the circuit is corrected by DPR without loading the entire module. Totally 16 Benchmarks were created to check the correctness of the proposed system. Usage of DPR for circuit correction saves about 97% of time compared to reconfiguring the entire module.
Safe Light Weight Cipher using Ethernet and Pentatop Number
Authors:   Dept of Computer Science and Engineering V R Siddhartha Engineering College (A), Vijayawada, Rupa J. Harikrishna, Ch. , Babu P. Raveendra ,   Dept of Computer Science and Engineer-ing V R Siddhartha Engineering College (A), Vijayawada
Published: August 2019

Current essential factor in this world to send a sensi-tive information over the unsecured network like the internet is security. Protection of sensitive data is becoming a major raising problem due to rising technologies. A recent attack on Electron-ic Mail of CBI shows that attacker’s efficiency rate. Standard cryptographic algorithms can be exploited by the attackers fre-quently and unable to apply for standard devices because of their energy consumption due to high computation with slow processing. Lightweight cryptography based algorithms can reduce these problems. This paper deals with symmetric key cryptography technique to encrypt the data where the sender and receiver share a common key which can also be called a secret key cryptography. To encrypt and decrypt the data, randomly generated Pentatope Number has used as a key. Next level of security will be provided using EHA (Ethernet Hardware Ad-dress or MAC Address) which is globally unique, to provide secure data transmission. The increasing of attacks on related key attacks motivates this. In particular, we investigate the effi-ciency impact comparatively other standard algorithms and observed that applications do not always use cryptographic algorithms without their intended use.
Effect of Cutting Conditions on the Residual Stresses Induced by Milling of AISI 1045 Steel
Authors:   Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India., Srivatsan Harini , Purimetla Ujjwal ,   Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India., Gangadhar Vaishnav ,   Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India., Dattathreya Venkat ,   Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India., Marimuthu Prakash ,   Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India.
Published: August 2019

The nature of residual stresses caused by machining processes has been relevant to the study of component performance for decades. The concept that cutting parameters affect the magnitude and nature of residual stress is well known. In order to reduce the residual stresses on a machined surface, it is important to identify the extent of the effect of cutting conditions. This paper presents the effect of depth of cut and tool speed on milling induced residual stresses. Speed and depth of cut were varied when milling several AISI 1045 Steel specimens. Stresses were measured with the X-ray diffraction method and corroborated with mathematical modelling on an FEA software. A relationship between tool speed and residual stress, and depth of cut and residual stress was thus obtained.
Enhancement of Separation Efficiency for Nano Filtration Membrane using Water-Soluble Polymer.
Authors:   Department of Chemical Engineering, Sinhgad College of Engineering, Vadgaon, Pune, Bansod G. , Bhutada Dinesh ,   MIT, World Peace University, Department of Petrochemical Engineering, Pune, Barkade Shrikant ,   Department of Chemical Engineering, Sinhgad College of Engineering, Vadgaon, Pune, kodape Shyam ,   VNIT, Department of chemical Engineering, Nagpur
Published: August 2019

In this study, an aqueous solution containing a mixture of heavy metal ion Cr(III) were treated by polymer enhanced Nanofiltration using polyethylene glycol as a binding agent polymer. The performance of PEG in removing heavy metal ion Cr (III) was compared with PEG and without PEG addition using polyamide Nano filtrationmembrane. The percentage rejection of heavy metal ions was studied under the different value of pH, metal ion concentration and flow rate. AtpH 10,percentage rejection of heavy metal ion was highest at around 99.2%,whereas,at 200ppm concentration and at 3(l/hm2)flow rate percentage rejection of heavy metal ion with PEG was highest 99.5%,it was found that PEG gave higher percentage rejection of Cr(III) ion than without the addition of PEG.
Spectrum Sensing for OFDM Cognitive Radio using Matched Filter Detection
Authors:   Department of Electronics and Communication Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India,, Dannana Suresh , Chapa Babji Prasad ,   Department of Electronics and Communication Engineering, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, AP, India., Rao Gottapu sasibhushana ,   Department of Electronics and Communication Engineering, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, AP, India.
Published: August 2019

The exponentially increasing high data rate applications demand more spectrum. Conventional spectrum allocation schemes failed in providing spectrum to meet the requirement. Cognitive radio introduces dynamic spectrum allocation. Spectrum sensing plays a very important role in cognitive radio. In this paper, OFDM with sensing algorithm based on matched filter detection is presented. An Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix is used to reduce Inter Block Interference between successive symbols. The Receiver Operating Characteristics (RoC), detection probability with respect to Signal to Noise Ratio (SNR) for a given False Alarm Probability (PFA) obtained and analyzed. Simulation results shows that, this algorithm achieves probability of detection values 0.38 and 0.9 for SNR values of -20dB and -15 dB respectively at PFA=10-2. Chen, Hou-Shin, considered Time Domain Symbol Cross-correlation between two OFDM symbols. This paper mainly focusses on improving the detection probability at low SNR values without considering cross-correlation, which requires more computations.
Modelling of StormPav Green Pavement System with Storm Water Management Model and InfoWorks Collection System
Authors:   Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia., LIOW Ching Vern , MAH Darrien Yau Seng ,   Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia., ARIF ZAINOL Mohd Remy Rozainy bin MOHD ,   School of Civil Engineering, Universiti Sains Malaysia, Nibong Tebal, 14300 Penang, Malaysia.
Published: August 2019

Prior to any construction work related to stormwater, it is preferable to involve a computer-based modelling. This paper outlines two different computer-based modelling tools to model a green technology named StormPav Green Pavement. In determining befitting software for use, two key factors are considered: (i) fast model construction (ii) provision of an affordable design model. To meet these key factors, the Storm Water Management Model (SWMM), and InfoWorks Collection System (CS) are deployed in this study. The predictive results of the two models are compared for different design storm durations under 10-year Average Recurrent Interval (ARI). The predictive results suggest that both models are compatible. Yet, SWMM is preferable to model StormPav Green Pavement as it could provide reasonably fast model construction and the software tool is an open source software used worldwide.
Communicative Activity of a Teacher and the Possibility of Its Improvement In Terms of a Technical University
Authors:   Samara State Transport University, Russia., Luneva Liudmila P. , Meteleva Liliya A. ,   Togliatti State University, Russia., Ibatova Aygul Z. ,   Tyumen Industrial University, Russia
Published: August 2019

A special role in the development and improvement of speech culture in the society belongs to the teacher. The word as his main instrument must be the model of verbal intelligence, the model of high speech culture. This article deals with the typical lecturer’s speech errors and investigates means to avoid errors during the specialized course in the system of professional development. This article presents analysis and monitoring of speech etiquette of teachers of different subjects, highlights experience of how to refer to spell books and various dictionaries and introduces different ways of improving communicative activity through the system of professional development at Samara State Transport University.
Design & Implementation of Intelligent System for Identification of Fuel Fraudulents and Near By Fuel Stations
Authors:   Electronics & Communication Engineering, GMR Institute of Technology, Andhrapradesh, India., Kathirvelu M. , Parimala V. ,   Electrical and Electronics Engineering, PACET, Pollachi Tamilnadu.
Published: August 2019

The increasing frauds in fuel filling process have become a big deal to the society. The pumps in petrol bunks are controlled with the end goal that it shows the fuel filled into vehicle as entered, yet the amount of fuel filled is not exactly shown by the display. The petrol bunk proprietors are making enormous benefits by tricking the clients. This is redressed through estimation of approaching fuel through flow rate sensor and showing it on the LCD display and the measured output is sent as a message by means of global system for mobile communication (GSM) technology to the enlisted user for undeniable record can be made. This would help the proprietors of transportation companies to keep up a record of their vehicles that are run by their paid drivers. if the petrol in the tank is less than threshold value then LED glows continuously until the petrol is filled and it display the distance of the nearby petrol bunks by using the global positioning system (GPS) and is displayed on LCD.
Examining The Validity and Reliability of Online Visitor Behavior in Indonesia’s Museum Industry
Authors:   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia, Sundjaja Arta Moro , Abdinagoro Sri Bramantoro ,   Management Department, BINUS Business School Doctor of Research in Management, Bina Nusantara University, Jakarta, Indonesia, Gaol Ford Lumban ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Abbas Bahtiar Saleh ,   Management Department, BINUS Business School Doctor of Research in Management, Bina Nusantara University, Jakarta, Indonesia
Published: August 2019

The purpose of this study is to test the validity and reliability of user motivation, user expectation, the Facebook Fan Page usage experience, and intention to use a museum’s Facebook Fan Page. Most museum managers in Indonesia have used Facebook as a medium for promotion and education, but no research has been done to observe the impact of this implementation. This study applied descriptive statistical analysis (descriptive statistics) and confirmatory factor analysis using AMOS. The sample comprised 270 respondents. The questionnaire was developed and distributed through museum or cultural Facebook groups. This paper analyzed respondent demographics and the validity and reliability of user motivation, user expectation, the Facebook Fan Page usage experience, and the intention to use a museum’s Facebook Fan Page.
Performance Analysis of Enhanced Ad-Hoc on-Demand Distance Vector Routing Protocol in Smart Environment
Authors:   Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, Haryana (India)., Devi Munisha , Gill Nasib Singh ,   Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, Haryana (India).
Published: August 2019

MANETs have specific features that can satisfy the mobility and heterogeneous requirement of the smart environment. Smart applications need high Mobility, Bandwidth, Reliability and less Packet Loss and Delays; therefore, it is important to provide good Quality of Service (QoS) in such applications. So there is a dire need of identifying and exploring the relevant protocols that may be adapted for IoT enabled the smart environment. The routing protocols in smart environments are accountable for connectivity among nodes, fairness, quality of service, etc. Protocol & path selection is the main strategies to design any mobile network. The chosen protocol must have the best in term of data integrity and data delivery. Hence the analysis of the protocols become an essential step. This paper presents various securities and safety-related issues of MANET-IoT system, and also advocate the requirement of enhancing routing protocols in a smart environment. In this research, a new enhanced cache update technique is introduced in MANET protocol to make it enable for the upcoming smart environment. The enhanced algorithm helps to detect the malicious node and remove the stale route present in the network, no matter which traffic mode is used and in which direction nodes are moving. Cache is upgraded in such manner that all nodes in the way are notified about the misbehaving node and its adjacent neighbors’ nodes will not use misbehaving node while searching for the route. Here the analysis has been done taking a various number of nodes. Packet Delivery and Packet Lost are two key parameters taken for analysis purpose.
Lightweight Security Framework for Data Outsourcing and Storage in Mobile Cloud Computing
Authors:   is currently student of Computer Science & Engineering at Alakh Prakash Goyal Shimla University, Shimla., KPELOU Manzamasso , Kishore Keshav ,   currently working as Faculty of Computer Science & Engineering at Alakh Prakash Goyal Shimla University, Shimla.
Published: August 2019

Mobile Cloud computing is define as the new paradigm, and in this new paradigm computational power is on demand service and accessible through mobiles and tablets. When user decides to go towards cloud computing, there is a risk of losing control on his own data. So providing security of the data during transmission and when saved on the cloud storage is a major issue. Any application relying upon an emerging technology should consider the different possible threats. The principal reason why people are afraid of using Cloud technology is that data security and integrity among all other issues involved in Cloud technology constitute a great challenge. As data security issues, access control as well as key management are also a reason why Cloud technology is not widely adopted. In mobile cloud computing, the security related to data involving data integrity, confidentiality, availability and traceability is the most critical concern of cloud users. As now mobile cloud is changing how users used to work over the network, by helping them in terms of cost and reduction of tasks complexity. Hence, it is very important for the user to be ensured that the transmission of the data is secure, that the consistency as well as the storage of the data on the cloud provider side is secured. Hence the necessity for developing trust security model is demanding.
Factors Influencing Fog Computing Adoption Based on Quality of Results (QoR) for Heterogeneous Data Analysis: A Proposed Framework
Authors:   Faculty of Information Management, Universiti Teknologi MARA UiTM, UiTM Selangor, Malaysia., Abdul Malic Nue Hamezah , Tengku Izhar Tengku Adil ,   Faculty of Information Management, Universiti Teknologi MARA UiTM, UiTM Selangor, Malaysia., Abdul Kadir Mohd Razilan ,   Faculty of Information Management, Universiti Teknologi MARA UiTM, UiTM Selangor, Malaysia.
Published: August 2019

The rapid increase of data generated has brought challenges on data quality level. Fog computing in general has been supporting the requirements of end user devices that could not be met by cloud computing solution and it is acknowledged to have a major impact on how an organisation decides to adopt for preprocessing a huge amount of data being generated by the devices. Since IoT devices generating very heterogeneous and dynamic data, there are challenges for the level of data quality. The limitation has hindered the development of fog systems framework that capable operating the dynamic execution of edge devices that handling generation and collection large amounts of data on-premise and off-premise. Thus,sufficient operations of identifying Quality of Result enable user to detect any problems when conducting the decision making. The aim of this paper is to address the factors that perceived likely to influence the adoption of fog computing in evaluating the data analysis on data transmitted from the ever increases devices.A conceptual framework has been constructed considering attributes such as heterogeneous data analysis (on-premise and off-premise) and Quality of Results (quality indicators, quality control, validity outcome and reliability outcome).Potential benefits from the implementation of this framework to organisation is it enable to provide greater value and benefits to the business process. The framework of this study could also be influencing and inhibiting the adoption of fog computing.Quality of result has higher chances to satisfy the defined industrial’s requirement. In addition, fog-computing adoption is important for serving an environment for industry to execute, monitor, and analyze a large form of data in a fog landscape.
Towards a Bespoke Document Tracking System for Philippine Higher Educational Institutions
Authors:   Department of Computer Studies, Tarlac Agricultural University, Tarlac, Philippines., Lingaya Sheila R.
Published: August 2019

This study on the development and validation of a document tracking model for utilization of Philippine Higher Education Institutions was undertaken to produce a system that would facilitate the management of documents in state universities or colleges by providing a way to monitor, record and track the location of in-process documents to support an academic organization. The Software Development Process was used as basis for the development of the software involving phases such as user requirements specification, design and implementation, validation and evolution (i.e. the process of changing or modifying the system once it has gone validation and yielded feedbacks for further modification). The acceptability of the software as evaluated by forty (40) office personnel representing every units of the Tarlac Agricultural University – the sample locale of the study, was confirmed in terms of user interface and functionality. These evaluators judged the software based on their skills and ability to use the software while carrying out their job functions. Five (5) IT experts also judged the software in terms of user interface, functionality, database design and security. Based on the results of the study, findings indicate that the document tracking system is excellent for the evaluators as process owners with a grand mean of 4.54 with its ease of use because of the simplicity of operations and the design itself with the reliability and usability or fitness for purpose as to tracking in-process documents and generating reports. The experts also evaluated the system as excellent with a grand mean of 4.58 – hence, the system’s visual, functional and navigational elements and the manner it requests information helps the user operate the document tracker. Security was also judged as excellent because the system can control users and produce integral records.
The Effect of Competence and Compensation on the Performances of Agricultural Extension Employee in Banten Province of Indonesia in Digital Era 4.0
Authors:   Jakarta State University, Indonesia, Nasir  , Tola Burhanuddin ,   Jakarta State University, Indonesia,, Wibowo  ,   Jakarta State University, Indonesia, Hamidah  ,   Jakarta State University, Indonesia
Published: August 2019

This research aims to determine and analyze the effect of competence and research method using a survey technique compensation on performance of agricultural extension Employee in Banten in facing of digital era 4.0. This study uses quantitative to respond test hypothesis that has been formulated. The respondents were 94 Employee of agricultural; the sampling technique used purposive sampling technique. The questionnaire of competence, compensation and Employee performance was validated with the product moment correlation, while the Alpha Cronbach measured reliability. Hypothesis testing using path analysis. The outcomes of the study demonstrated that: (1) there is a positive direct effect of competence on performance of agricultural extension Employee, (2) there is a positive immediate effect of compensation on performance of agricultural extension Employee, (3) there is a direct positive influence on compensation of agriculture extension Employee . Implications of this study are to enhance performance of agricultural extension Employee in Banten of Indonesia in the digital era 4.0, the competence and compensation must be Increased.
Watershed Management for Ingrul village in Sangli District, Maharashtra by using GIS
Authors:   Civil Engineering Department, Bharati Vidyapeeth Deemed (to be) University college of Engineering, Pune, India., Patil Miss Snehal S. , Kulkarni Prof. Mrs. Deepali ,   Faculty Civil Engineering, Bharati Vidyapeeth Deemed (to be) University College of Engineering, Pune India., Patil Prof. Mr. P. D. ,   Faculty Civil Engineering, Bharati Vidyapeeth Deemed (to be) University College of Engineering, Pune India.
Published: August 2019

Watershed is land surface bounded by a divide which contributes runoff to a common point. Watershed management basically involves management of land surface and vegetation so as to conserve and utilize maximum water that falls on the area of watershed and also conserve the soil for long term benefits to the farmer and his society. Watershed management implies the wise use of soil and water resources so as to provide clean, uniform water supply for beneficial use and to control damaging overflow. Study area for this project work is Ingrul village, which is comes in Shirala tehsil, Sangli district of Maharashtra state. This area lies between Latitude 16.9550N, Longitude 74.1585E and Elevation 587 m. In ingrul village in pre-monsoon period lack of water availability for drinking, agricultural purpose. Due to the water scarcity the agricultural production is reduced. To reduce the problem of water, watershed management is necessary in the Ingrul village. Watershed studies conducted employing a GIS platform have incontestable that the special analysis capabilities of GIS hold the key to improved watershed modeling techniques. The GIS-based watershed modeling method begins with a digital illustration of the bottom surface topography, or a digital elevation model. Availability of natural resources like land and water is studied using data from bhuvan, Survey of India toposheets and remote sensed data. Watershed structures proposed on the basis of contour map, drainage map, land use land pattern map and water requirement and runoff calculations. Design and cost estimation of structures recommended for Ingrul village
Design of Adapting Multi-Servo Concept with Optimal Change in Tractor Brakes
Authors:   School of Mechanical Engineering /Sathyabama Institute of Science And Technology/Chennai, India., Raja.K.S Sridhar , Kumar.J Senthil ,   School of Mechanical Engineering /Sathyabama Institute of Science And Technology/Chennai, India., M Sangeetha. ,   School of Mechanical Engineering /Sathyabama Institute of Science And Technology/Chennai, India., S Sivasaravanan. ,   School of Mechanical Engineering /Sathyabama Institute of Science And Technology/Chennai, India.
Published: August 2019

All of the agricultural tractors are weighed down by heavy cargo loads & ploughing so safety and efficient reliability is utmost important. Now-a-days tractors are conventionally having brakes which are being actuated by Mechanical linkages which is dominantly having several mechanical load distribution losses. This mechanical actuating stuff is going to get replaced by hydraulic actuation which will meet the reduction of increasing losses considerably.This paper introduces a conceptual illustration of adopting multi servo effect in traditional tractor brakes where the servo effect is present under optimal manner in dry tractor brakes. Also application of hydraulic actuation reflects a considerable reduction in pedal effort and travel which is the major mechanical advantage that can be attained. Thus, this article shows a conceptual analysis of increased braking efficiency by two variant packages: 1) Multi-Servo effect and 2) hydraulic actuation.
An Efficient Technique for Enhancing Robustness of Scale-free Wireless Sensor Networks
Authors:   M.Tech degree in Wireless Mobile Communications from G. Narayanamma Institute of Technology and Science, Hyderabad, India., Shiny A. Mary , Shaker A. Chandra ,   Assistant Professor at Department of Electronics and Telematics Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad, India.
Published: August 2019

In an age where breaches occurrence is precisely numerous, it is essential to safeguard confidential figures including patron records, intellectual property, assessment and enlargement, prospect business plans, and all sorts of confidential facts more proficiently. It is substantial to administer a network to safeguard information. Cyber mugs tear into information systems, accertion in these attacks leads to node deterioration, hence a structure is obligatory which can combat cyber mugs to shield our information nodes in WSNs. To cope with these attacks we adopt an efficient technique for enhancing robustness of scale-free wireless sensor networks. Scale-free networks are not affected much by random thefts but they become defenseless against malicious theft. To overcome this shortcoming this paper presents an enhanced technique , here we have a MAX node which is enclosed with small rate nodes, each MAX node will be highly secured by adopting ROSE algorithm by altering edges keen on to a closed structure to upgrade robustness of a network . This phenomena is achieved by forming a scale-free topology using basic BA model. In this paper, work is done on two operations that is rate diversity and edge value operations, to mold system further vigorous to malicious attacks. System is further encrypted by providing every single node with a private key in a sub network.
Thermal Analysis of The Heating Stage of the Thermoforming Process
Authors:   Department of Production Engineering, SGGS IE&T, Nanded, India., Patil Jeet P. , Nandedkar V. M. ,   Department of Production Engineering, SGGS IE&T, Nanded, India., Mishra Sushil ,   Department of Mechanical Engineering, IIT Bombay, Powai, India.
Published: August 2019

Thermoforming is one of the most utilized polymer processing technique, where heated sheet polymer sheets are transformed into useful products. These sheets are usually deformed at a temperature higher than the glass transition temperature of the polymer sheet. The physical and mechanical properties of the sheet change significantly at this temperature. Therefore, forming temperature is the key parameter governing the process output, and by monitoring it, process parameter can be decided for higher quality output and minimum rejections. Temperature monitoring usually carried out using sensors and thermal imaging system, which demands open access of the surfaces to be monitor. In the case of closed forming setups use temperature, monitoring devices are favorable. In order to cope with the mentioned scenario present study proposed to use finite element analysis for temperature monitoring. The objective of the present study is to investigate the heating stage of the thermoforming process for Poly methyl methacrylate (PMMA) sheet just prior to deformation carried out in close forming setup. Numerical studies were performed to study the temperature distribution across the sheet during its heating. In order to validate the proposed numerical model, experimental investigations were carried out, and good agreement was found between simulated and experimental result. The results obtained from the present study could be useful to determine the required process parameters such as deformation pressure. Moreover, the heating stage could be optimized to reduce energy consumption and cycle time.
Forgery Detection Based on KNN Classifier using SURF Feature Extraction
Authors:   Department of ECE, Annamalai University, Chidambaram, Tamilnadu, India, DHIVYA S. , SUDHAKAR B. ,   Assistant Professor, Department of ECE, Annamalai University, Chidambaram,Tamilnadu,India
Published: August 2019

Copy move forgery is a standout amongst the most widely recognized for controlling unique pictures. Edge detection is a standout amongst the most contemplated issues in PC vision, yet it remains a difficult undertaking. It is troublesome since frequently the choice for an edge can't be made absolutely dependent on low dimension signs, for example, slope, rather we have to connect all dimensions of data, low, center, and high, so as to choose where to put edges. In this paper we propose a novel adjusted K-derives gathering calculation for edge and thing limit affirmation which we suggest as Speeded-Up Robust Features (SURF).A choice of an edge point is made autonomously at every area in the picture; an extremely huge opening is utilized giving critical setting to every choice. In the coordinating stage, the calculation chooses and consolidates an enormous number of highlights crosswise over various scales so as to gain proficiency with a discriminative model utilizing an all-inclusive rendition of the Putatively Matched Points (Including Outliers) calculation. The coordinating based structure is exceptionally versatile and there are no parameters to tune. The proposed work is pertinent to applications for imitation discovery in various explicit picture areas just as on common pictures. The outcomes are reproduced through the MatlabR2014b programming.
Entropy Based CNN for Segmentation of Noisy Color Eye Images using Color, Texture and Brightness Contour Features
Authors:   Department of Computer Science and Engineering, K.L. University, Guntur, India., Pathak Mrunal , Bairagi Dr. Vinayak ,   Department of Elect. and Telecommunication, AISSM’s Institute of Information Tech., Pune, India., Srinivasu Dr. N. ,   Department of Computer Science and Engineering , K.L. University, Guntur, India.
Published: August 2019

Today’s most of the iris recognition systems are strongly dependent on user’s cooperation during image acquisition such as stop-stair condition, head position and camera distance. Images are taken in NIR spectrum to reduce the noise such as effect of illumination. Challenges faced by existing iris recognition systems are such as they are time consuming due to need of extra hardware setup and unable to achieve better performance for images acquired on-the-move, at-a-distance, etc.. To overcome these challenges, in this paper we proposed novel segmentation algorithm based on content based image retrieval approach. In proposed segmentation method, color, texture and brightness contour features were extracted. Entropy value for these extracted contour features was measured to reduce the dimensionality of features. These set of calculated entropy value was given as input to convolutional neural network to cluster noisy eye image into iris, sclera and pupil region. The proposed segmentation algorithm was experimented on freely available UBIRIS.V2 noisy eye image database using MATLAB. The experimentation results shows that proposed segmentation method is superior as compared to existing method by reducing average segmentation time up to 0.9sec and increasing segmentation accuracy up to 97% for non ideal color eye images.
Strength Conversion Factors for Concrete Based On Specimen Geometry, Aggregate Size and Direction of Loading
Authors:   Professor Department of Civil Engineering at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India., Reddy Dr. V Srinivasa , Rao Dr. M V Seshagiri ,   Professor in Department of Civil Engineering at CVR College of Engineering, Hyderabad, India., Shrihariis Dr. S ,   Professor Department of Civil Engineering at JBIT, Hyderabad, India.
Published: August 2019

The main goal of this study is to find out the effect of effect of specimen shape and size, aggregate size and directions of loading and placement on the compressive strength of M20, M40, M60 and M80 grades of concrete. During the experimental study, different shaped and sized concrete specimens of different concrete mix designs were tested for compressive strength at 28 days. For casting the concrete samples, totally four different moulds were utilized, which were two different sizes of cubes and two different sizes of cylinders. The cubic moulds were 100 and 150 mm. The cylindrical moulds were 150×300 and 100×200 mm. So the relationship between size and shape effect on compressive strength of concrete samples is evaluated. Casted cubes and cylinders are tested for the compressive strength under axial compression on completion of 28 days as per IS: 516-1999.In this study, the effect of specimen sizes, specimen shapes, and placement directions on concrete compressive strengths for various grades widely used is evaluated. In addition, correlations between compressive strengths with size, shape, and placement direction of the specimen are investigated. It was found that with the increase of the size of the concrete specimen, compressive strength tends to decrease. The effect of grade of concrete on the shape effectof the compressive strength decreases as the specimen size increases regardless of strength level. Conversion factors of 0.80 to 0.90 were suggested for converting compressive strength of cylinders to compressive strength of cubes. For cubes, when the placement direction is parallel to the loading direction, the compressive strength is higher than the normal case. As aggregate size increases, compressive strength is found to be increasing.
Null Steering In Linear Arrays for Multiple Null Positions
Authors:   Asst. prof of physics in Aditya College of Engineering, Surampalem., Budida Jyothi , Murthy Satyanarayana ,   Assistant Professor of physics in GIET College of Engineering, Rajahmundry, Narayana Sreerama Lakshmi ,   M. Sc.(Nuclear Physics with Neutron Physics as specialization) ,Andhra University, 1972 PGDIF, Andhra University, 1975 , Ph. D. in Nuclear Physics, Andhra University
Published: August 2019

In the current article, the linear array null pattern synthesis for beam forming applications is presented using the novel social group optimization algorithm(SGOA) . As a part of the simulation, the circular array of 24 element length is considered with a spacing of inter-elements of 0.5 λ is considered. These patterns are synthesized for null steering and side lobe level (SLL) optimization. Strategy of designing arrays with single and multiple nulls are presented in more robust manner in which the width of the beam and SLL are also included for objectives of design.
Application of Modified ALO to Economic Load Dispatch for Coal Fired Stations
Authors:   Department of E.E.E, Malla Reddy Engineering College(A), Maisammaguda-500100, Hyderabad, INDIA., Reddy Dr. A. V. Sudhakara , Rajeswaran Dr. N. ,   E.E.E Department, Malla Reddy Engineering College(A), ), Maisammaguda, Hyderabad, India ., Reddy Dr. D. Raja ,   E.E.E Department, Malla Reddy Engineering College(A), ), Maisammaguda, Hyderabad, India.
Published: August 2019

This manuscript explores the novel Modified Ant Lion (MALO) Optimization to resolve the load dispatch problem optimally. The primary role of Optimal Economic Load Dispatch (OELD) is to obtain an efficient and economical operation of a power system network. The main aim of performing the OELD is for minimizing the fuel cost of the real power generation when the losses are neglected. An Modified Ant Lion (MALO) Optimization is a narrative nature-inspired algorithm and apes the tracking mechanism of ant lions in life. The random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps are the five main steps involved in the hunting process. The principal objective of OELD is to curtail the total generation cost while honoring effective constraints of accessible generating resources. The anticipated Modified ALO technique is utilized on three and six unit test system to various load demands for solving the load dispatch problem economically. A statistical result clarifies that the anticipated MALO method has lowest fuel cost and superior in quality of solution than other optimization techniques accounted in most latest literature.
Transformer Oil Regeneration as a Panacea for Electric Power Utility Company’s Equipment Optimization
Authors:   Department of Electrical and Computer Engineering, Kwara State University, P.M.B. 234, Malete, Ilorin, Nigeria., Adesina Lambe Mutalub , Saadu Kamaldeen ,   Network Planning Department, Eko Electricity Distribution Company, Marina - Lagos, Nigeria., Ajenikoko Ganiyu Adedayo ,   Department of Electronic and Electrical Engineering, Ladoke Akintola, University of Technology, Ogbomoso, Nigeria.
Published: August 2019

Power transformers constitute the most costly equipment which often posed constraints to electric power utility companies’ management. These transformers develop faults often due to oil insulation problems resulting from poor level of insulation oil, lack of routine maintenance, contamination, age, carbonization arising from system tripping as well as degradation of paper insulation due to ageing. However, the most economical way of maintaining stability in power supply to customers is creating a routine program of transformer oil regeneration for power transformer in the network. This paper therefore presents the optimization process of transformer oil regeneration for electric power utility company equipment. In this study, combined techniques of hot oil circulation, oil purification and oil reclamation of transformer oil regeneration was used for analysis of two 15MVA, 33/11kV power transformer. The process is aimed at drying the solid insulation of the transformer through the circulation of hot oil. The results of the transformer oil test before and after carrying out oil regeneration processes for the two 15MVA transformers are obtained and presented. For each transformer, the results are in five categories of properties namely; Physical, Electrical, Chemical, Dissolved metals and Dissolved gas analysis properties. The results indicated that the viscosity of transformer 1 is better than that of transformer 2. In addition, the dielectric breakdown voltage of oil transformer 1 is of more quality than the oil in transformer 2. The results are in agreement with standard ASTMD, IEC and ISO because the transformer properties has individual standard with each having its own mark. The comparison shows that transformer oil regenerated was very close to reality because the oil in the two power transformers is close to 90 %.
Impact of Piston Geometry on Diesel Engine Performance, Emissions and Combustion
Authors:   PG Scholar, Department of Mechanical Engineering, VRSEC Vijayawada, Andhra Pradesh, India., Ummaleti LakshmiSrinivas Sastra , Ganipineni Jamuna Rani ,   Assistant Professor, Department of Mechanical Engineering, VRSEC, Vijayawada, Andhra Pradesh, India., Konuru Srinivasa Rao ,   Assistant Professor, Department of Mechanical Engineering, Vidya Jyothi Institute of Technology, Hyderabad, TS, India
Published: August 2019

Motor execution improvement and fumes discharges decrease are two most significant issues to build up an increasingly productive motor with less natural effect. For diesel motor, cylinder geometry is one of the real parameter that influences the motor performance and emissions. In this present research work, engine performance improvement and exhaust emission characteristics reduction was reducing with the help of some modification in piston geometry by using 3 different types of piston geometries. Horizontal, Toroidal and Re-entered pistons. These can be tested on single cylinder water cooled ci motor. Varying Different type's pistons were analyzed and emissions HC, CO, CO2, O2 and NOx were studied with 5-gas exhaust gas analyzer. The toroidal cylinder gives the best performance and lower emissions at all load conditions.