bluuebunny/crossref_metadata_2025 huggingface dataset:
Privacy study on images uploaded in social networks
Authors: D Hemalatha , Begum Almas , David S Alex
Published: April 2019

Presently, the growth of Social media is explosive among the users. Increasingly developed social websites like Flickr, Facebook, Google+, LinkedIn etc permits the users to create, share and view the post. Confidentiality is a leading factor required in Social Networks. The social users upload their photos to the social sites that intend to gain public interest for social purposes. The exposure of personal information leads to slipping process like identity stealing, morphing etc, which are against the privacy violations. Relied upon the personal characteristics of users, the privacy settings of each user should be defined. In this paper, a relational study about the privacy settings in Online Social structure is examined. Initiated by the importance of social networks among the social users and their behavior towards Online Social Networks, which is followed by the privacy techniques suggested by other researchers are explored. At last, an overview about the merits and demerits of privacy designs and schemes for the user-uploaded images are presented. The study results a new privacy system that controls the confidential information from being accessed from different devices, including mobile devices and computers.
Cloud – IAAS security threats and its possible mitigations
Authors: Priyadarshini R , Malarvizhi N
Published: April 2019

Cloud IaaS, a virtual data center is an instant computing infrastructure provided and managed over the Internet. The provider owns the resource and maintains it in the level specified in the SLA. The user is permitted to use the resources as services like operating systems, security, networking, application developing servers, application deploying tools, databases, etc., on the basis of pay-per-use model. The providers and users both are concerned over integrity, privacy and security issues. This study distinguishes the issues identified with the cloud IaaS layer and strategies to overcome them to maximize the performance.
Secret communication over compound multiple access channel
Authors: Bharathi S , Blessy Jenila R
Published: April 2019

The general gaussian numerous entrance wire-tap channel(GGMAC-WT) and the guassiantwoway wire-tap channel(GTW-WT) are considered. In this paper, we learn about the mystery correspondence between the correspondence channels with exacerbate various access channel(CMAC). Secret messages are exchanged with consummate mystery. In this channel the messages sent by one channel can be decoded by its relating recipient and kept mystery from other beneficiary. A MAC is considered and the messages from the encoders ae secret. By and large, our outcomes demonstrate that in various access situation, clients can help each other to on the whole accomplish positive mystery rates. At the end of the day, collaboration among clients can be priceless for accomplishing mystery for the framework.
An intelligent recursive feature reduction methods for efficient classification of medical blogs
Authors: E A Neeba , S Koteeswaran
Published: April 2019

Nowadays people express themselvesin the form of weblogs attracting and benefiting users in their perspective. Blogs are maintained by individual users with specific software reporting activities that removing all possible barriers and developing learning blogs. Blogs together forms a linked community as blogosphere. Procuring information from these blogs has become very tough due to the intense growth of blogs. The proposed system classifies and compiles the blog ensuring appropriate chemo taxis analysis and reporting. These data preparation and analysis helps the healthcare organizations to solve many health related problems and identify new improvements. The movement of organism to chemical stimulus is recognized in chemo taxis. Chemo taxis is subverted in cancer phases. Weblogs not only manage and organize these data but also reduces the time required for data gathering, acquisition, analysis and reporting.
Impact resistance of sisal fiber reinforced concrete
Authors: Y K Sabapathy , Sajeevan Ramya , J Rekha , V Vishal , S Sabarish , D Revathy
Published: April 2019

Concrete is typically a brittle material which is prone to damage when subjected to heavy impact loads. To overcome this weakness, concrete is reinforced with fibers as fibers are effective in withstanding heavy impact loads. The main objective of this experimental investigation is to study the influence of sisal fibers in concrete under impact load. The impact specimens are prepared using three grades of concrete- M20, M30 and M40 with five varying percentage of fibers- 0%, 0.5%, 1%, 1.5% and 2%. The mix designs of the respective grades of concrete are made as per the Indian standards. The specimens after curing for 28 days were subjected to impact loads using the standard drop weight impact machine confining to ASTM standards. Also cube and cylinder specimens are prepared and tested to ascertain the compressive and tensile strength of the sisal fiber reinforced concrete. The results indicated that the sisal fibers are effective in increasing the impact strength of concrete.
Flood susceptibility assessment in Kelantan river basin using copula
Authors: Nashwan Mohamed Salem , Ismail Tarmizi , Ahmed Kamal
Published: April 2019

Bivariate frequency analysis of flood variables of different station locations of Kelantan river basin was conducted using copula for the assessment of the geographical distribution of flood risk. Seven univariate distribution functions of flood variables were fitted with flood variables such as peak flow, flood volume, and flood duration to find the best-fitted distributions. The joint dependent structures of flood variables were modeled using Gumbel copula. The results of the study revealed that different variables fit with different distributions. The correlation analysis among variables showed a strong association. Joint distribution functions of peak-flow and volume, peak-flow and duration, and volume and duration revealed that the joint return periods were much higher than univariate return periods of same flood variables. The flood risk analysis based on joint return period of flood variables revealed the highest risk of devastating flood in the downstream. The locations identified as highly susceptible to flood risk by joint distributing of flood variables had experienced most severe floods in recent history, which indicates the effectiveness of the method for the analysis of flood risk. It is expected that this procedure can be helpful for better assessment of flood impacts.
An Investigation on Land Cover Mapping Capability of Classical and Fuzzy based Maximum Likelihood Classifiers
Authors: B R Shivakumar , S V Rajashekararadhya
Published: April 2019

In the past two decades, a significant amount of research has been conducted in the area of information extraction from heterogeneous remotely sensed (RS) datasets. However, it is arduous to exactly predict the behaviour of the classification technique employed due to issues such as the type of the dataset, resolution of the imagery, the presence of mixed pixels, and spectrally overlapping of classes. In this paper, land cover classification of the heterogeneous dataset using classical and Fuzzy based Maximum Likelihood Classifiers (MLC) is presented and compared. Three decision parameters and their significance in pixel assignment is illustrated. The presented Fuzzy based MLC uses a weighted inverse distance measure for defuzzification process. 10 pixels were randomly selected from the study area to illustrate pixel assignment for both the classifiers. The study aims at enhancing the classification accuracy of heterogeneous multispectral remote sensor data characterized by spectrally overlapping classes and mixed pixels. The study additionally aims at obtaining classification results with a confidence level of 95% with ±4% error margin. Classification success rate was analysed using accuracy assessment. Fuzzy based MLC produced significantly higher classification accuracy as compared to classical MLC. The conducted research achieves the expected classification accuracy and proves to be a valuable technique for classification of heterogeneous RS multispectral imagery.
Optimization of flow forming process parameters of al-8014 using genetic algorithm
Authors: Mahender T , Venkatesh Bellam
Published: April 2019

Flow forming is an advanced version of the metal spinning process in which the metal is formed into the desired shape without formation of a chip. There are many flow forming process parameters that will influence the surface roughness of the material. In the current study, three process parameters are considered in the flow forming of AA8014. The process parameters are speed of the mandrel, longitudinal feed and the flow rate of the coolant and the response is surface roughness. Design of experiments based response surface method (RSM) is used to study the effect of process parameters on the response. A quadratic mathematical model was developed by RSM is used for optimization of surface roughness by using an evolutionary technique Genetic Algorithm. The surface roughness obtained at optimum process parameters from Genetic Algorithm is in good agreement with the experimental results.
Term Weight Measures Influence in Information Retrieval
Authors: Pradeep Reddy K , Raghunadha Reddy T , Apparao Naidu G , Vishnu Vardhan B
Published: April 2019

Indexing was majorly used in different applications like information retrieval (IR), Document categorization. In the field of IR, indexer is used by search engines to represent the content of a document with short and content-bearing terms so that the retrieval process obtained great performance. The text index systems produce better results based on the assignment of suitable weights to the terms. These results crucially depend on the selection of the efficient term weighting measures. In this work, the experimentation carried out with different types of term weight measures to assign weights to the terms in the query and document representation. Cosine similarity measure is used to find the similarity between the query vector and document vector. The experimentation is performed on four standard datasets and recall as a performance evaluation measure. The results obtained in this work are promising than most of the approaches in IR field.
Development of smartphone contents to improve concentration based on EEG
Authors: Yun Seo Ji , Hong Noh Yun , Un Jeong Do
Published: April 2019

Background/Objectives: In recent years, the importance of concentration has been attracting attention in modern society, and interest in concentration-related diseases is increasing. As ADHD, one of the many diseases associated with concentration, has a great impact on academic and work efficiency and everyday life, so much research is underway on ADHD treatment.Methods/Statistical analysis: In this research, we implemented smartphone - based concentration training system which is easy to use in everyday life.NeuroNicle E2 of Laxtha Company was used for EEG measurement and EEG was measured by attaching to FP1 and FP2 of the frontal part according to the international 10-12 electrode arrangement method.EEG data received from the measuring section were extracted as frequency - specific EEG data using FFT and the concentration index was calculated by applying the CI algorithm.Findings: The system implemented in this study can control the aim point with the concentration of the user and perform the concentration training by feedback the changed EEG information to the user according to the movement of the aim point. Also, as the concentration of the user increases, the aim point moves to the center and the score of the game increases.Experiments were conducted using implemented EEG system and commercialization EEG system. EEGs were measured by EEG for 5 minutes each before, during, after training by wearing a wireless measuring instrument. The SMR wave, Mid_β wave, and θ wave which are highly correlated with the concentration are indicated before, during, and after experiment, and it can be confirmed that each waveform has a significant change according to the experiment state. Also, it was confirmed that the concentration was the highest when training using this system and the concentration level was maintained even after the training.Improvements/Applications: The effectiveness of the system implemented in this research is verified and it can be expected that the user can utilize the portable device instead of the designated place such as the hospital or the professional institution to provide good training results through convenient and continuous concentration training.
Design of an energy efficient campus-based on energy audit report
Authors: Peter. J Arun , Vijayadhasan. G Keerthi
Published: April 2019

Due to rapid urbanization and industrialization there is fast depletion of fossil fuels. Renewable energy resources contribute a considerable part in the Grid these days yet there is a mismatch between generation and consumption. The consumption of electrical energy is more than the electrical energy generated. It has become mandatory for us to conserve electrical energy in order to save the fuel reserves for our future generation. In this paper it is explained how an energy efficient institution can be made with the help of periodic Energy Audit
Harmonic reduction in a renewable energy islanded microgrid with fuzzy PID controller
Authors: S.Srivatchan N , P.Rangarajan Dr
Published: April 2019

Power sharing in an Islanded microgrid is not straight forward due to load variations as well as variable nature of Renewable En-ergy sources. This unequal power sharing leads to circulating currents, load imbalance and increased harmonic content. Traditional droop controller provides simple control for real power sharing without communication link, but they suffer from inaccurate reactive power sharing. To overcome the inherent drawback of traditional droop controller, this paper proposes cascaded H-bridge (CHB) multilevel inverter. CHB multilevel inverter provide increased output voltage, there by improves power quality. The Fuzzy Logic Con-troller provides simple and accurate control to CHB multilevel inverter. The proposed system is simulated in MATLAB Simulink Envi-ronment. This scheme provides closed loop control of DG units, in turn improves reactive power sharing between DG units, and thereby effectively reduces total harmonic distortion during islanding. The main focus of the paper is in power sharing issue on har-monic currents. The simulation results are verified with experimental microgrid hardware.
Investigation on Mechanical and Durability Properties of Rapid Strength Gaining Concrete
Authors: Krishnaraj L , T. Ravichandran P , AarifIlahi Shaik , Ramanathan V
Published: April 2019

The strength of cement paste and aggregate components helps to decide the strength of the concrete, their properties of deformation, and the binding properties among the aggregate surface and cement paste. It is conceivable with many of the aggregates to form high strength concrete by increasing the cement paste strength, which can be controlled by choosing of water-content ratio and type of admixture dosage. The current scenario in the concrete technology and the accessibility of many kind of mineral and chemical admixtures, and special super plasticizer to gain the targeted compressive strength of a concrete. In this study MYK Remicrete PC30 and BASF Master Glennium ACE 30 were utilized as the admixtures as Add 1 and Add 2 which acts as high rate water reducing agents. These developments have led to increase uses of Rapid strength concrete. To compare the mechanical and durability properties of concrete using Fly ash and Admixtures the following tests were conducted on concrete tests specimens. Mechanical tests are to be conducted such as compressive strength tests, and tensile strength tests, durability tests like water absorption test, acid test by HCL, H2SO4 and HNO3. The result indicates that rate of development of compressive strength and tensile strength are higher for the concrete design mix which has HRWR admixture of 1% and FA of 20%.
Low profile microstrip fed printed antenna for portable RF energy harvesting system
Authors: Alladi Rajasekhar , Naidu Praveen V. , P Raveendra , Kotha Srinivasa Reddy , Charan Siva , Harish Sai
Published: April 2019

This work presents, a printed wideband microstrip antenna that can be used for portable RF energy harvesting applications. The antenna is designed, simulated and validated using 3D electromagnetic HFSS simulator. The targeted frequency band of operations are from 0.825 GHz to 1.05 GHz for catering GSM/3G wireless applications. Following the antenna design in the HFSS software, the structure has been fabricated on low cost substrate FR4 and the structure performance is analyzed experimentally. The achieved wideband, omni directional patterns with constant gain monopole antenna can be suitable for all portable system applications.
Tsunami Risk Analysis with Run-up Variation Scenario Based on Modeling of Geographic Information System on Sibolga City North Sumatera
Authors: Ridha Syafii Damanik Muhammad , Nurman Ali , Restu R , Berutu Nurmala , . .
Published: April 2019

This study aims to analyse the tsunami risk level based on scenarios of tsunami run-up variation in the coastline of Sibolga City. The input data on the model are a surface roughness map obtained from quick bird satellite imagery interpretation, slope map obtained from Indonesian Earth Map and run-up variation scenario with height 5, 10, 15, 20, and 25 meters. Tsunami risk level modelling was prepared using inundation height variables and land use vulnerability. The relationship between run-up height and tsunami risk level was analysed using simple linear regression. The total area of inundation was obtained based on the order of run-up variation by 1,35 km2, 1,92 km2, 2,47 km2, 3,27 km2, and 4,15 km2 while the area of high-risk category based on the order of run-up variation by 0,41 km2, 0,77 km2, 1,08 km2, 1,46 km2, and 1,95 km2. The result of linear regression between the run-up height and the width of the inundation area showed a positive correlation. Each 1-meter elevation of run-up will expand the inundation area by 0,14 km2. High run-up variables with high-risk areas also have a positive correlation. Each 1-meter of run-up will expand high-risk area at 0,75 km2.
Learning Application of Multimedia-Based-Computer Network Using Computer Assisted Instruction Method
Authors: Simarmata Janner , Limbong Tonni , Napitupulu Efendi , Sriadhi S , R S Tambunan A , Keristiana Sinaga Enny , . Suhairiani , G G T Sibarani C , Arafat Lubis Maulana , Irwan Padli Nasution Muhammad , Purnomo Agung , Anam Fatkul , Nasution Fauziah , Novita Desi , Yudha Prayogi Satria , Eska Juna , Limbong Riswan
Published: April 2019

In conventional learning, teachers frequently face difficulties to deliver their materials due to limited time and practical materials in teaching network computer. Conventional teaching process, especially practical materials, has still not yet been optimal. Thus, computer and multimedia based learning is required to help the students. Besides it can reduce costs in practical materials procurement, the students can absorb the given knowledge well without thinking of the costs to buy the practical materials. Computer Assisted Instruction Method can present the learning using various media either by picture or video that can assist the effective learning process and simplify the students to manage the learning speed since it is combined with the multimedia. By doing this, the students can practice the lesson materials, study whenever and wherever they want. Compuer learning application prioritize user interface, user friendly, which can make the students be diligent and passionate in learning.
Study on Alloy Steel TEW 6582 Machined Surface Rougness Under Dry Machining
Authors: Napid Suhardi , Rafiq Yanhar Muhammad , Bakhori Ahmad , Hasibuan Abdurrozzaq , Krianto Sulaiman Oris , Asaad Mhd.
Published: April 2019

The purpose of research is to study the surface roughness of machining results obtained to give consideration that the possibility of dry machining can be realized at alloy steel machining of TEW 6582. In the field of surface texture only discuss the machined surface roughness with some testing that is processing and data analysis can be done statistically. The TEW 6582 alloy steel samples were produced from dry machining operations with 9 cutting forms using standard L 9 (34). In this case 3 variations of tool wear are determined by tool edge wear (VB) = 0.1 mm, 0.3 mm and 0.6 mm including also in wet machining. To cut the work piece used CNC machine, optical microscope and surface test . The roughness test was obtained the roughness value with dry machining for optimum cutting conditions ie HPK1.0.1 = 1,467 μm, HPK8,0.3  = 2,133 μm and HPK8,0.6 = 2,8 μm whereas value in wet machining was found with HPB1,0.1 = 1,581 μm, HPB8.0.3 = 2,304 μm and HPB8,0.6 = 2,906 μm. From the above machining results data, HPK8.06 can be determined as the most optimum cutting condition which can be concluded that dry machining gives better machining results  roughness through Ravg value and no significant difference is obtained when compared to wet machining after statistically analyzed, so that dry machining is a good chance that can be realized in manufacturing and automotive industries.
New Method for Locker Door with Face Security System Using Backpropagation Algorithm
Authors: Yusmartato Y , Lubis Zulkarnain , Arza Solly , Pelawi Zulfadli , Armansah A , Hasibuan Abdurrozzaq , Asaad Mhd.
Published: April 2019

Lockers are one of the facilities that people use to store stuff. Artificial neural networks are computational systems where architecture and operations are inspired by the knowledge of biological neurons in the brain, which is one of the artificial representations of the human brain that always tries to stimulate the learning process of the human brain. One of the utilization of artificial neural network is for pattern recognition. The face of a person must be different but sometimes has a shape similar to the face of others, because the facial pattern is a good pattern to try to be recognized by using artificial neural networks. Pattern recognition on artificial neural network can be done by back propagation method. Back propagation method consists of input layer, hidden layer and output layer.
Relationship between Effective Sentence Understanding and Achievement Motivation with Description Text Writing Skill on Google Classroom
Authors: Saddhono Kundharu , Intan Pitaloka Rosaliana , Devilito Rio , Mulyaningsih Indrya , Ketut Sudarsana I , Isnaniah Siti , Istanti Wati , Septiana Hespi
Published: April 2019

This research aimed to determine the correlation between, (1) the understanding of effective sentence and writing skill in descriptive text; (2) the achievement motivation and writing skill in descriptive text; and (3) the understanding of effective sentence and achievement motivation toward writing skill in descriptive text. The research method used was a correlational survey. Population of the research is tenth grade students of Vocational High School of Surakarta with the sample consisted of 60 people were taken by simple random sampling for to analyze the data is statistic regression and correlation technique. The result of this study shows that: (1) there is a positive correlation between the understanding of effective sentence and writing skill in descriptive on google classroom; (2) there is a positive correlation between achievement motivation and writing skill in descriptive text on google classroom; and (3) there is positive correlation between the understanding of effective sentence and achievement motivation toward writing skill in descriptive text on google classroom. Considering the result of research, it can be conclude that understanding of effective sentence and achievement motivation are important factors that can improve student’s writing skill in descriptive text, however achievement motivation has bigger contribution than the understanding of effective sentence.
Indoor positioning: technology comparison analysis
Authors: Md Din Marina , Jamil Norziana , Maniam Jacentha , Afendee Mohamed Mohamad
Published: April 2019

A system that allows users to find and track a specific position is known as positioning system. Global Positioning System (GPS) is one of top known position tracking system that commonly used to find position and location of object outdoor. Tracking an object indoor using GPS is not highly recommended because the signals transmitted through a satellite to a device indoor gets blocked and resulted in weak signals. Thus, an indoor positioning system (IPS) that tracks and positions object indoor has been implemented to overcome the issues of signals multipath that resulted from GPS. The aim of this paper is to provide up to date indoor positioning technologies and compares the technologies according to its technical perspectives.
Simulating command injection attacks on IEC 60870-5-104 protocol in SCADA system
Authors: Saif Qassim Qais , Jamil Norziana , Daud Maslina , Ja'affar Norhamadi , Yussof Salman , Ismail Roslan , Azlan Wan Kamarulzaman Wan
Published: April 2019

IEC 60870-5-104 is an international standard used for tele-control in electrical engineering and power system applications. It is one of the major principal protocols in SCADA system. Major industrial control vendors use this protocol for monitoring and managing power utility devices. One of the most common attacks which has a catastrophic impact on industrial control systems is the control command injection attack. It happens when an attacker injects false control commands into a control system. This paper presents the IEC 60870-5-104 vulnera-bilities from the perspective of command and information data injection. From the SCADA testbed that we setup, we showed that a success-ful control command injection attack can be implemented by exploiting the vulnerabilities identified earlier.
Crack identification using piezoelectric testing on carbon steel pipe for transverse, longitudinal and hole defects with low excitation frequency
Authors: N. Abdalla Ahmed , Ali Kharudin , Koh Siaw Paw Johnny , Kok Hen Chong , Jian Ding Tan , Sham Maizal M , Izzat M
Published: April 2019

AC excitation signal is most widely used in Non Destructed Testing (NDT) devices for Piezoelectric Technique (PZT) method in an inspec-tion. This paper is presenting the application of piezoelectric with end to end method for defect identification for Carbon Steel Pipe (CSP) where the frequency is used around 1kHz until 6kHz for standard pipe, transverse defect pipe, longitudinal defect pipe and hole defect pipe. From here, the identification of defect signal by based on the signal pick value and different pick signal between ordinary pipe (without defect) and defects pipe are analysis. The result shows that the standard pipe will give the high amplitude of signal compare the defect pipe by based on the type of defect, size of defect and depth of defect. Findings from the comparative study, validate the application of piezoelec-tric show that the different amplitude of the signal is directly proportional with excitation signal frequency and through the experiment, the longitudinal defect is contributed the different high signal until 79.7% compared to the hole and transverse defect 74.4 %.
A study on optimization methods for solving course timetabling problem in university
Authors: Mazlan Munirah , Makhtar Mokhairi , Firdaus Khair Ahmad Khairi Ahmad , Afendee Mohamed Mohamed , Nordin Abdul Rahman Mohd
Published: April 2019

Course timetabling is one of the most important processes faced by any educational institution. However, the course timetabling process is time consuming and tiresome as it needs to be done for each regular semester. This paper aims to study on the Optimization methods to solve the course timetabling problem. The study is obtained and discussed by categorizing between the classification of Hard Constraint and Soft Constraint and the classification of Optimization Methods. From the study, it shows that Meta-Heuristics are the mostly method used in solving the course timetabling problem. It is concluded that this method is suitable for future used compared to other techniques studied. An analysis and observation will be carried out for the research future.
Review of indoor localization techniques
Authors: Md Din Marina , Jamil Norziana , Maniam Jacentha , Mohamed Mohamad Afendee
Published: April 2019

Global Positioning System (GPS) has practically solved the problem of outdoor localization. However, limitation of GPS leads to a challenge for developing a new tracking system for indoor environment. Hence, the demand for accurate indoor localization services has become important. Until now, researches related to IPS are still being conducted with the objective to improve the performance of positioning techniques. This paper provides a comprehensive review of indoor localization techniques and stimulate new research effort in this field. Current existing indoor localization system that used for tracking objects were reviewed along with some further discussion to design a better indoor localization technique.
Improving the Spatial Resolution of Real Time Satellite Image Fusion Using 2D Curvelet Transform
Authors: Maharnisha Gandla , Veerasundari R , Roopesh Kumar Gandla , . Arunraj
Published: April 2019

The fused image will have structural details of the higher spatial resolution panchromatic images as well as rich spectral information from the multispectral images. Before fusion, Mean adjustment algorithm of Adaptive Median Filter (AMF) and Hybrid Enhancer (combination of AMF and Contrast Limited Adaptive Histogram Equalization (CLAHE)) are used in the pre-processing. Here, conventional Principal Component image fusion method will be compared with newly modified Curvelet transform image fusion method. Principal Component fusion technique will improve the spatial resolution but it may produce spectral degradation in the output image. To overcome the spectral degradation, Curvelet transform fusion methods can be used. Curvelet transform uses curve which represents edges and extraction of the detailed information from the image. Curvelet Transform of individual acquired low-frequency approximate component of PAN image and high-frequency detail components from PAN and MS image is used. Peak Signal to Noise Ratio (PSNR) and Root Mean Square Error (RMSE) are measured to evaluate the image fusion accuracy.
A new approach to achieve a fast acting MPPT technique for solar photovoltaic system under fast varying solar radiation
Authors: Vijay Muni T , V N L Lalitha S , Krishna Suma B , Venkateswaramma B
Published: April 2019

In this paper, a new control technique is proposed to achieve a fast acting Maximum Power Point Tracking (MPPT) Technique for solar photovoltaic system under fast varying solar radiation. Conventional MPPT techniques in PV systems fail to track maximum power point (MPP) under fast varying of sunlight levels. In the proposed MPPT algorithm a fine tuned duty cycle for a DC-DC converter is achieved to avoid the divergence of MPP. This can be achieved from the relationship between the load line and the MPP locus. The MPPT algorithm is used to regulate the duty cycle of a DC-DC converter to ensure that always the load line cuts the I-V curve at MPP. The effectiveness of the proposed PV-MPPT system is demonstrated via case studies and simulation results shows the effective performance of the fast acting MPPT technique in achieving efficient MPP.
Emergency call receiving alert through mobile phones using to change the current profile
Authors: Rama Lingham N Siva , Yuvaraj G , Senthil Murugan T
Published: April 2019

Emergency Call Alert (ECA) Application is developed for inform the urgency as well as seriousness of the call to the receiver. The profile in the mobile facilitates that the user to change the mode they need and this requires manual work load. This Call Manager changes the pro-file automatically to the desired mode designed by the user. It has also been enhanced with filtering mechanism called as Emergency calls filter which allows the calls from the emergency list to be in user preferred mode irrespective of the current mode. This feature is to avoid the missing of calls from the numbers specified in the emergency call list. Now a day most of calls come to us when we are busy, it is an interrupt, which disturbs or sometimes accident may happen. To avoid this either we switch off the mobile or we put the mobile in silent mode. If this is so if any emergency call comes we cannot attend such type of calls. The other disadvantage of this is the calling person does not know when the called person is free. To overcome all these problems we presented paper, Emergency Call Manager which handles all the call when he/she is busy sends an SMS. Software which filters this message and it gives an emergency alarm to called mobile.
Analysis of visible light communication (VLC)for biomedical application
Authors: Yogeeswaran S , G P Ramesh
Published: April 2019

In the visible light communication (VLC), light emitting diodes (LEDs) are used as transmitters; the air is the transmission medium and the photodiodes are used for receivers. This is often referred to as light fidelity (Li-Fi). In this method, provide the methodology to evaluate the performance of VLC hotspot networks in the context of data downloading on the move scenarios by using throughput-distance relationship models. In this context, firstly, study the different properties of optical transceiver elements, noise sources, characterization interference, and different link topologies and then introduce the throughput-distance relationship model. Secondly, the analytically based throughput-distance relationship has been developed for evaluating the performance of VLC hotspot networks in indoor environment in both day and night conditions. Simulation results reveal that background noise has a significant impact on the performance of VLC hotspots. As expected, in both indoor and outdoor environments VLC hotspot performs better at night than during the day. The performance of VLC hotspot networks is also quantified in terms of received file size at different bit error rate requirements and velocities of the mobile user.
Performance evaluation of multiple lift push-pull LUO converters for automotive applications
Authors: Srinivasan S , T. S. Sivakumaran Dr
Published: April 2019

Solar energy power generation has several advantages such as low maintenance costs; environment friendly, no rotating parts in construc-tion gives no noise. In recent years, solar power is used to charge the batteries of electric vehicles and instead of internal combustion En-gines the Electric motors such as DC motors, Brushless DC (BLDC) motors are used for driving the vehicles. The Multiple Lift Push-Pull Luo (MLPPL) converter is a DC-DC converter, which combines both switched capacitor and voltage lift techniques. Further, the MLPPL converters can be used in high power density, high power efficiency and voltage transfer gain applications. In this work, a MLPPL convert-er integrated with voltage source inverter (VSI) loading BLDC motor drive for automotive applications have been proposed. Further, the simulation of the proposed design has been carried out using MATLAB/Simulink Software. The torque of the BLDC motor has been varied and the performance of the MLPPL converter has been analyzed. Results demonstrate that the proposed design is capable to operate over a wide range of torque, which fulfills the application of Electric Vehicle.
A Novel Approach for Personalized Privacy Preserving Data Publishing with Multiple Sensitive Attributes
Authors: Ram Prasad Reddy S , VSVN Raju K , Valli Kumari V
Published: April 2019

The Personalized Privacy has drawn a lot of attention from diverse magnitudes of the public and various functional units like bureau of statistics, and hospitals. A large number of data publishing models and methods have been proposed and most of them focused on single sensitive attribute. A few research papers marked the need for preserving privacy of data consisting of multiple sensitive attributes. Applying the existing methods such as k-anonymity, l-diversity directly for publishing multiple sensitive attributes would minimize the utility of the data. Moreover, personalization has not been studied in this dimension. In this paper, we present a publishing model that manages personalization for publishing data with multiple sensitive attributes. The model uses slicing technique supported by deterministic anonymization for quasi identifiers; generalization for categorical sensitive attributes; and fuzzy approach for numerical sensitive attributes based on diversity. We cap the belief of an adversary inferring a sensitive value in a published data set to as high as that of an inference based on public knowledge. The experiments were carried out on census dataset and synthetic datasets. The results ensure that the privacy is being safeguarded without any compromise on the utility of the data.
Strengthening of Reinforced Concrete Beams Weak in Shear Using GFRP
Authors: Shaik Qudhan , Polu Raju P
Published: April 2019

Due to lateral forces acting on the structure, stresses are generated in the beam which causes beam failure. To overcome those stresses in the existing structures, retrofitting is one of the techniques to increase the lateral strength. In this study, an experimental investigation was done on RC beams to check the shear behavior by comparing control RC beams with strengthened RC beams. To observe the shear behavior considered RC Beams were made weak in shear and then Retrofitted. Two sets of beams were considered, out of which, set-1 consists of three control specimens with shear reinforcement of 100%, 50%, and 30%. Set-2 consists of three retrofitted specimens with GFRP Strips with shear reinforcement of 100%, 50%, and 30%. GFRP strips were provided around the beam with different spacing. The results concluded that the retrofitted specimens have more load carrying capacity compared to control specimens. Thus, the retrofitting is a feasible solution to overcome the stresses developed in the structure. The study also involves the behavior of shear having several GFRP layers and orientation of ultimate load carrying capacity, failure mode and crack pattern of the beam are also investigated.
Reinventing a Folk Hero in Yashar Kemal’s Epic Novel, Memed, My Hawk
Authors: HASHEMIPOUR Saman , . .
Published: April 2019

A millennium after the Day of Ashura, Yashar Kemal’s folk hero, Memed, rises against another atrocious dynastic ruler. Husayn Ibn Ali, the grandson of Muhammad, the prophet of Islam, was killed and beheaded in the Battle of Karbala in 680 AD to end a caliphate, taking full account of claiming his life. Annually, Shiite and Alevi Muslims hold funeral ceremonies worldwide for his martyrdom on certain days to remember their liberty, as Memed’s compatriots, the villagers of Değirmenoluk in Yashar Kemal’s epic masterpiece, Memed, My Hawk do. Heroes do not accept injustice, but right all wrongs at all costs. Die or live as a hero, people compose ballads of protagonist’s heroism and consider their liberators as holy figures.
Survey on Fault Detection and Diagnosis Using Neural Network in WBAN
Authors: N.S.Kalpana R , P.Nallathai Dr
Published: April 2019

Wireless Body Area Networks (WBAN) is the sensor network used for monitoring health information in e-health systems. WBAN is a combination of sensors used to obtain vital information from the body. It is a special type of WSN. WBAN technology should handle the data in a smart way by reacting to the monitored data and to evaluate the data.  It  requires  fault detection and diagnosis methods for sensors used in WBAN.  This paper gives a survey of different types of neural-network approaches for faults detection and diagnosis in WBAN using neural network.
Methodology of Efficiency Assessment in the Context of Building Sustainability
Authors: Švajlenka Jozef , Kozlovská Mária
Published: April 2019

The construction industry has long been among the sectors with lower productivity and efficiency. In the framework of construction, the concept of sustainability is at the forefront. Basic elements of sustainability are environmental aspects, social and economic aspects associated with construction as such. The basic requirement to measure these factors is to set the criterions and draft a methodology for their evaluation. The aim of this paper is to present a methodology for assessing the effectiveness of buildings in the context of sustainability. The article also presents a preview of the evaluation of two wood-based construction technologies through the proposed efficiency assessment methodology in the context of building sustainability.
Synthesizing Zro2 Nanoparticle as a Catalyst Through Thermal Decomposition of Phenol-Zirconium Complexes in Order to Degradation of Harmful Organic Substances Under UV Light
Authors: Absalan Yahya , V. Kovalchukova Olga.
Published: April 2019

This research was focused on synthesizing 3 zirconium complexes with phenol ligand and preparing ZrO2 from synthesized complex through the method of thermal decomposition was the result of the work. Nanoparticles of ZrO2 were synthesized after the complexes were decomposed in autoclaves at varies temperatures according to the different ligands.FT-IR spectroscopy, UV-Vis spectroscopy, chemical analyzing and metal analyzing were used for investigating the complex as analyzing methods.Furthermore, for the obtained nanoparticle, XRD, UV–Vis, FESEM and EDAX analyses were chosen for analyzing. Based on the result, synthesized ZrO2 are able to remove harmful organic compounds under UV light.
Short Review of Studies on Modeling of Technology and Technical Means Used for Production of Classical and Nanomodified Functional Polymer Composite Materials
Authors: E. Kolosov A , P. Kolosova E
Published: April 2019

The paper briefly announces the results of many years of research in the field of modeling and design of parameters of technology and technical means for production of classical and nanomodified functional polymer composite materials for structural purposes. Models of oriented structurally inhomogeneous media are considered which form the basis for designing parameters for technological methods of impregnation and winding, as well as for predicting the stress-strain state of classical polymer composite materials. Ultrasonic treatment is being investigated as a basic method of intensifying technological processes as well as improving the physico-mechanical and operational properties of classical and nanomodified functional polymer composites. The main parameters and features of the ultrasonic treatment modes are described. The results of modeling and designing of manufacturing technology parameters for production thermoplastics are presented. The aspects of the production technology for nanomodified functional polymer composite materials for functional purposes are provided.
Deisgn of Mobile Infant Incubator with Comforting Pillow
Authors: Janney.J Bethanney , KrishnaKumar S , Shree.P.B Anu , V Rayshma , Suresh Sanjana
Published: April 2019

A mobile infant incubator is a preterm infant care medical tool which provides warmth, humidity and oxygen all in a controlled state of affairs as required by the New born baby. This incubator offers a clean condition, which has natural air, perfect and clean encompassing conditions for the infants. The main aim of the paper is to design and develop an Arudino based temperature and humidity control in an incubator.In the course of their initial weeks of lives infants are subjected to pain and soreness, so to conquer  this major problem we have introduced a mechanism to traject maternal features to the infant. For this reasons the features are mimicked viva a pillow unit that has embedded with sensors and actuators. Our proposed system consists of sensors for monitoring critical parameters, Pillow unit for comforting the infants, GSM for transferring information to doctors and parents and Labview for output evaluation and all together controlled by Arudino microcontroller. Advances in electronic procedures combined with sparing costs influence humidity and temperature to  govern realistic with fantastically precise and solid performance.
Medical Drone – A Life Saver in Emergency Situations
Authors: Josephin Arockia Dhivya A , J. Hemalatha R , R.Thamizhvani T , Elsa Joseph Josline , Babu Bincy , Chandrasekaran R
Published: April 2019

Many thousands of humans are dying day to day due to the delay of ambulances reaching the accident spot at right time.So this prototype explains clearly about the emergent situation of a drone reaching the accident scenario with various sensors.The usage of this technology gradually decreases the fatal cases.It is used to save time and helps in patient’s survival.The technology works such like different types of sensors are fitted to the health drone.When a phone call is given to a prescribed given number,the operator thereby tracks the location and the navigation of the place is tracked using global positioning system.The medical quadcopter or drone arrives at the critical situation and various modes of parameters from the body are measured.This prototype gives the information of the patient to both the hospital sources and the nurses present in the normal ambulance.This flying medical drone reach the spot before the normal ambulance arrives the scene.It also measures the real time actual situation of the patient and it helps in saving a life of a patient.The information regarding the patients health parameters will be sent to concerned hospital staffs and to the respective staffs coming in the ambulance. This helps the paramedics and the doctors to know about the patient’s condition before arriving the spot.This medical drone acts as a tool kit which flies to various emergency Situation. ambulance and the hospital team so that they will be ready to serve to the needs of the patients.The proposed prototype model is used as a support the persons who need immediate attention.
Investigation of Ground Water Depletion Pattern across Chennai City
Authors: M K Soundarya , Gurusamy.B Thanga
Published: April 2019

An attempt has been made to investigate both seasonal and long term ground water depletion pattern across the aquifers lying below geographical boundary of Chennai city. The Depth below Ground Level (DBGL) is used as an analyzing parameter for this investigation. This analysis is based on the data that has been made available to the public by Central Ground Water Board (CGWB) and Water Resources Department, Chennai, Tamil Nadu. Both graphical analysis and statistical based regression analysis has been carried out and the result has been presented in graphical and tabular form. Seasonal DBGL variation has been analyzed for the year 2016 after the popular Chennai 2015 December Flood event. It has been observed that the range of ground water level depletion is from 0.1 m per month at Broadway and up to 0.833 m per month at T.S.Campus locations during post monsoon season from January to May. Long term DBGL variation has been analyzed for duration of 22 years from 1996 to 2017. Statistical package for social sciences (SPSS) has been used to perform both linear and other regression analysis. Sustained decrease in ground water level has been observed at locations like Perambur Kodambakkam and Vallalar Nagar during the last two decades.