bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Indonesian Literature Textbook with Character Education Through Information and Communication Technology (ICT) Learning Based
Authors: Winarni Retno , Y. Slamet St. , Saddhono Kundharu
Published: April 2019

The objectives of this research were: (1) to describe the students’ and teachers’ needs on Indonesian literature textbook with characteristic education using ICT learning based, (2) to describe the development of Indonesian literature textbook model using ICT learning based, (3) to describe the effectiveness of the textbook using ICT learning based, 4) to describe the result of textbook dissemination using ICT learning based. The type of research used was research and development proposed by Borg and Gall. Research which was done through 4 stages, namely: (1) exploration, (2) model development, (3) model testing, and (4) dissemination. The exploratory stage used a qualitative descriptive approach. Data collection was done through document study, observation, interview, and questionnaire. Data analysis technique used was interactive analysis model. Model testing was done through experimental research. The results of this research were: (1) exploration stage showed that Indonesian literature textbook used in Public Elementary School 15, Public Elementary School 02 Kleco, and Public Elementary School 2 Sumber Surakarta had not been in accordance with the students’ and teachers’ needs, (2) Indonesian textbook was developed through preliminary field testing; and (3) model testing phase was done through experimental research in the main field testing. The value of tobtained (0.43) was then consulted to the value of ttable (with N = 90, α = 0.05) which was 1.64 so critical area {t <-1.64 or t> 1.64}. It could be concluded that  tobtained (0.43) < ttable, as a result, H0 was accepted and the research was stated significant. In conclusion, Indonesian textbook with character education was effective to improve students' receptive skills.
Context Awareness Technology Using Parallel Mining for Ambient Assisted Living System
Authors: Vivek J , Maharnisha Gandla , Roopesh Kumar Gandla , Karun Sagar Ch , Arunraj R
Published: April 2019

In  this  paper,  context  awareness  is  a  promising  technology  that  provides  health care services and a niche  area of big data paradigm. The   drift  in  Knowledge  Discovery  from  Data  refers  to  a  set  of  activities  designed  to refine and  extract  new knowledge from complex  datasets.  The   proposed  model  facilitates  a  parallel  mining  of  frequent item sets for Ambient Assisted Living (AAL) System [a.k.a. Health  Care [System]  of  big  data that  reside   inside  a  cloud  environment.  We  extend  a  knowledge  discovery framework for  processing  and  classifying  the  abnormal  conditions of patients having fluctuations in Blood Pressure (BP) and Heart Rate(HR) and storing  this data  sets  called  Big data  into Cloud to access from  anywhere   when  needed.   This   accessed data is used to compare the new data with it, which helps to know the patients health condition.
A New Method for Forensic Detection of Image Manipulation
Authors: Femi D , Veera Babu G , V Sumanth Kumar Reddy B
Published: April 2019

As the use of digital images has expanded, so has the methods and the motivating force to make advanced picture frauds. As needs be, there is an incredible requirement for advanced image legal sciences methods equipped for identifying image changes and manufactured images. We demonstrate that pixel value mappings desert factual follows which we might allude to as a mappings inherent unique finger impression in an image pixel value histogram. We at that point propose scientific techniques for recognizing general structures all around and privately connected complexity upgrade and in addition a strategy for distinguishing the utilization of histogram leveling via hunting down the recognizing highlights of every task intrinsic fingerprint. Also we propose a technique to identify the worldwide expansion of noise to a formerly JPEG - compacted image by watching that the key fingerprint of a particular planning will be adjusted on the off chance that it is connected to a image’s pixel value after the noise addition.
Geometrical behavior of laminated graphite/epoxy composite using hypermesh
Authors: Siva RamaKrishna Ch , Subba Rao KV , Arji Saineelkamal
Published: April 2019

The laminated composite material is  made of ply which are specically used in automotive, aerospace and military applications due to less in weight and high strength to weight ratio. The role of structural strength is very important in composites, as the material is weak in inherent strength leads to damage of equipment made with the laminated composite. Hence, an accurate understanding of their structural geometrical behavior for residual stresses is required, such as residual stresses with different aspect ratios. In present work, various aspect ratios of laminated composite and its residual stresses are investigated using finite element analysis. The numerical results showed, on the residual stresses, that the effects the change the residual stresses due change of aspect ratio of laminated Graphite/epoxy composite.
Improved Despeckle Filtering Technique for Liver Cirrhosis US Images
Authors: Rajesh G , Selwin Mich Priyadharson A
Published: April 2019

The liver ultrasonic (US) images suffer from inherent speckle noise, degrading the image quality; thereby, affecting human interpretation and also reducing the accuracy in computer-assisted diagnostic techniques. In this paper, we propose an improved despeckle filtering technique by combining, maximum homogeneity over a pixel neighborhood filtering (MHON) and speckle-reducing anisotropic diffusion filtering (SRAD) using a binary classifier map (BCM). The textural and fine details of residual image are denoised by SRAD filtering.  The SRAD filter denoised image and MHON filter denoised image combines to attain BCM. A BCM is generated by examining the local coefficient of dispersion (CoD) assessed using a kernel with the one obtained from a specific region. The proposed method is evaluated on clinical US image set of liver, by assessing the quality factors PSNR, SNR, ISC, LMSE and EPI. Results are compared with specified algorithms separately while accomplishing for proposed method.
Design of Multiband Fractal Antenna
Authors: S. Nageswara Rao B , E. Srinivasa Murthy E
Published: April 2019

Fractal is a fragmented geometry which can be segmented into various parts, each part will be the miniature copy of the whole. The main advantages of fractal antennas are its reduced size and multiband operation. These structures have self-similarity properties and fractional dimensions. The self-similar geometrical nature of fractal facilitates the antenna design to achieve multiband applications. The proposed fractal antenna can be operated in different frequencies and 2 frequency bands. The obtained frequency bands are X- band and Ku- band. The proposed antenna has been designed, simulated and analyzed by using HFSS (High Frequency Structural Simulator) software 15.0.
Evaluating and Implementing Strategies: Technogoly Based Financial Inclusion
Authors: Shaik Gowsya , P. Raja Babu Dr
Published: April 2019

Now a day, Financial Inclusion is delivering the banking services to the people at an reasonable price to all the huge sections for low revenue group. For achieving social benefits and objectives and also to obtain a desired economic development, RBI puts continues efforts for fulfilling the financial inclusion programme. In this direction several new initiatives were undertaken by the Government of India and it has given approval on financial inclusion plans (FIPs) for sustainable development of an economy. These are including opening bank branches, Overdraft facility for eligible accounts, transaction in Kisan Credit Cards, General Credit Card Accounts and transactions through the BC-Information Communication Technology (ICT) channel. The main objective of this research paper to know the strategy based financial inclusion and to find out the implementation and achievement of financial inclusion in India during the period of 2012-17.
Optimization of UWB Array Antenna for Bio-Medical Applications Using Cuckoo Search Algorithm
Authors: Rajkamal K , Immadi Govardhani.
Published: April 2019

A four-element microstrip antenna array is designed in which the array is made using Wilkinson power dividers and four identical patch antenna elements. The elements of the designed array are perfectly developed to get a constant gain and have a compact size against the frequency. Using the microstrip technology equipment a prototype can be build to enhance the directivity, return loss and also its return loss and radiation pattern. The antenna array that is put forth here comprises of two major parts which are the array of the antennas and also its power network. In many of the important applications like biomedical, communication and also radio frequency applications the power divider plays a crucial role. Power dividers also function as the power networks of the array of antennas. An equal division power divider is generally required to synthesize the radiation pattern. Here a very new design for a power splitter having the same square sector of four ports and also its application is also presented. Techniques like insertion and also insertion fitting techniques were employed to adjust or alter the phase and amplitude of the signals that are exiting each branch of the power divider. The impedances of the branches are adjusted according to the required power ratio by using the pairing techniques. Electromagnetic Solvers which are based on MOM used in the design process. The parameters using which the power divider is made up of is the dielectric constant Er=4.3,loss tangent of 0.02 and height of 1.6mm.Along with the design of the ultra wide band antenna is also designed. Finally some of the optimization techniques such as the fly flight algorithm, cuckoo search algorithm, spring cuckoo algorithm for reducing mutual coupling and improving antenna parameters such as return loss, gain pattern, directivity and radiation. The experimental measurements are made using the network vector analyzer. A good agreement was found between the measurements and the results of the simulation.
Synthesis of Hydrophobic Filler for Polymer Composites
Authors: I. Pavlenko V , I. Cherkashina N
Published: April 2019

Silica (SiO2) particles are increasingly more used for the productions of polymer composites. But introduction of silica in polymer disturbs the natural structure uniformity also this technique is difficult with the aid of the high propensity of silica to agglomeration. So to create polymer composites it is better to use fillers with a hydrophobic surface. In this study, it was investigated the possibility of surface amendment of Silica particles for their hydrophobization. Silica particles had been organized by way of the tetraethyl orthosilicate hydrolysis reaction at high temperature and pressure. The morphology and shape of the silica were studied by way of X-ray powder diffraction, approach of particle measurement analysis by using laser diffraction, and electron micrograph. For floor amendment of silica particles was use hydroalcoholic answer of sodium methylsiliconate. The bought results of the contact perspective measurements show that the floor of initial particles of silica is hydrophilic (contact perspective – 74°). The surface of Silica particles after the change are strongly hydrophobic (contact angle – 92-126°). The most suitable is the introduction of a modifier in an amount of 2%..
Comparative study of diabetes foot diagnosis using ABPI
Authors: Hari Krishnan G , S Arun Kumar G , Arun V , Saravana R
Published: April 2019

User friendly product has been developed to analyze the user condition accurately and provide a digital output with low cost product to the end user for diagnosing diabetes foot. Detecting the level of peripheral neuropathy which significantly increases the risk of sustaining a foot wound called ‘loss of protective sensation. To implement a device to detect foot diabetes in patients using the Ankle Brachial pressure index values. The proposed system was tested by conducting experiment on 9 patients and whose ABPI value measured confirms the convention-al measured values.
A comparative study on segmentation methods of micro calcification in mammogram
Authors: Babu Bincy , J. Hemalatha R , Josephin Arockia Dhivya A , R. Thamizhvani T , Chandrasekaran R
Published: April 2019

The primary indication of breast cancer is the presence of calcification clusters. It is challenging and lengthy process for radiologists to identify and classify micro calcifications as non-cancerous or cancerous. In this proposed work, a novel method for the detection of micro calcification clusters in mammograms is explained that consists of two main sections. First, mammogram preprocessing is done. Second, micro calcification are segmented out. In preprocessing noise and label are removed as well as contrast is enhanced. Then various segmentation methods are used for comparison of calcification region. Watershed segmentation, Marker controlled watershed segmentation (MCWS), Texture segmentation and Level set segmentation methods are applied to Digital Database for Screening Mammography (DDSM) database. Results show that the MCWS provides quite acceptable detection performance. The major advantage of this method is its capability to detect micro calcifications perfectly even in case of very dense mammograms. The performance of different methods is evaluated by comparing the obtained segmented image with expert radiologist data. The comparison study aptly shows that the micro calcifications can be exactly segment and can avoid over segmentation problem of existing method.
Detection of micro aneurysms automatically for retinopathy screening
Authors: Elsa Joseph Josline , J. Hemalatha R , Josephin Arockia Dhivya A , R. Thamizhvani T , Chandrasekaran R , Srividhya G
Published: April 2019

Diabetic retinopathy is one among the severe diseases of eye leading to irreversible damage when left undiagnosed. Hence, robust automated system for diagnostic medical imaging is becoming a vital necessity in the healthcare industry. Microaneurysms are the first confirmed visual signs of onset of diabetic retinopathy. This work exploits the benefits of tristate median filtering and power law transform for improved candidate extraction work. It includes processing the image and normalization of intensities as microaneurysms are seen as low contrast and tiny.Tristate median filtering removes unwanted noise that would have added up while acquiring images. Power law transformation is applied to increase brightness. And makes the microaneurysms clearer in the image. The second approach involves extraction of retinal vessels from the image as miniature vessels can be falsely detected as candidate lesions. Weapply simple and effective morphological operations followed by detection of lesions by extended minima transform. Candidate features are extracted and then classified by K nearest Neighbour classifier.The performance of the proposed work is analysed giving accuracy specificity, and sensitivity values 91.5%, 82 %, 93% respectively.
Estimation and Performance analysis of a 15kW Off-Grid Solar PV System
Authors: C Bhuvaneswari , B Vijay , P Natarajan
Published: April 2019

The primary and most universal measure of all kinds of work by nature is the energy. Coal, Natural gas, Oil and Nuclear energy are net energy yielders and primary sources of energy. The intent of this paper is to assess the performance of 15KW solar power plant installed in Priyadarshini Engineering College (PEC) campus, Vaniyambadi, Vellore District, Tamil Nadu. A 15 kW solar PV plant has been installed to supply electricity to the internet laboratory and library (lighting load). The results obtained from monitoring a 15 KW Solar Photovoltaic system installed on a library roofing of 10m height building. The system was monitored between (July-Sep2016) from 9.30AM to 4.30PM for three days in a week from Monday to Wednesday. The results can be used to provide manufacturers to develop their products and enhance the knowledge in the future in order to improve the design of the off-grid solar photovoltaic system, return of investment during these years. This work focuses on the performance of the solar photovoltaic plant (July-Sep2016) monthly average demand and annual performance parameters, Efficiency, fill factor,capacity Utilisation factor and the characteristics have been plotted in a graph. The graph is drawn between Generated power vs consumed power. The annual yield of the solar photovoltaic plant ranged from 6500-7000 Kwh and performance ratio of 78%. It has capacity Utilisation factor with 6.97%.
An integrated approach to the audit procedures to be followed during the implementation of Product Data Management (PDM) software
Authors: George Sam , K.David Dr
Published: April 2019

Product Data Management (PDM) is a domain which comes under the umbrella of Product Lifecycle Management (PLM).  While PLM covers entire life cycle of the structure taken for consideration, PDM focus only the hardware portion of it.   The implementation of a system which involves product life cycle is a challenging process as it involves an entire changeover of existing working procedures. Moreover, this works in a domain which is dispersed geographically across multiple locations across the globe. In this context, diversification is keyword during the entire phase of operation.  This context throws open challenges to find uniformity in procedures, practices, guidelines and documentation in every phase. The first step in defining uniformity is adhering to certain standards and practices which are universally acclaimed. In this context, procedures and directives mentioned in International Standards Organisation (ISO) and Information Systems Audit and Control Association (ISACA) become handy.  Audit procedures can be broadly classified in PDM domain as direct and indirect. Direct audit practices are procedure, document and resource oriented while indirect audit focus on finance and infrastructure. In most phases there shall be overlapping relations between these two areas.  Management of these aspects is discussed in individual phases of this engineering domain.
Design of student score application for assessing the most outstanding student at vocational high school
Authors: Abadi Satria , Shukri Mat The Kamarul , Huda Miftachul , Hehsan Aminudin , Nasir Ripin Mohd. , Haron Zulkifli , Hisyam Nor Muhamad Nasrul , Rianto Riki , Maseleno Andino , Renaldo Riki , Syarifudin Ahmad
Published: April 2019

Learning achievement is a representation of student success level in learning. In accordance with the rules that have been determined by Muhammadiyah Vocational High School (SMK) to know the student achievement, it is needed criteria to determine who will be selected to be the most outstanding student. The purpose of this study was to design the Student score Information System as a support in decision-making and daily operational purposes, and to compare the effectiveness and efficiency of data processing and presentation of information between existing systems and information systems to be proposed. In improving the development process that the author will develop Student Information System as a supporter in decision making using Visual Basic 6.0 programming language. Research conducted in this case was descriptive qualitative research by conducting survey on the object of research that is in Vocational High School (SMK) Muhammadiyah Pringsewu District by using data collecting technique there were observation, interview, and literature study. The conclusion of writing this research is expected that the new system can provide convenience to the parties involved in performing data processing quickly and accurately, and can store data safely to assist in the process of service to students and society generally.
Crop yield prediction using data mining: an efficient data modeling approach
Authors: . Geetika , Bajaj Rohit
Published: April 2019

Motivation for this research comes from the agricultural point of view that there is a lot of work for the farmers to be done manually. So this research deals with the automatic classification approach which provides help to the farmers and decrease their efforts. With the change of climate in the world, the mainstreams of the crops in the agricultural field are severely affected in performance in previous decades. The crop prediction yielding should be healthy to help the farmers for taking suitable procedures for selling and loading/storage. Such estimations on the yielding of the crops will also assist the industries based on the farming and production of the crops for development of the logistics of their commercials. Numerous approaches of estimating and crop yielding have been established in the previous times with variable success rates. This paper deals with the prediction of the wheat crop yielding using data mining approaches. The paper deals with the clustering approach using k-means clustering and feature extraction using independent component analysis and the classification is done using linear discriminant analysis and the simulation is done using MATLAB environment. From the result and discussions it can be noticed that our proposed approach is able to achieve less error rate probabilities and high signal to noise ratio. The proposed approach is able to achieve mean square error rate of 0.5 and peak signal to noise ratio of 33.18 db.
An efficient technique for hybrid classification and feature extraction using normalization
Authors: Kaur Bipanjyot , Bathla Gourav
Published: April 2019

Text classification is technique for assigning the class or label to a particular document within predefined class labels. Predefined classes examples are sports, business, technical, education and science etc. Classification is supervised learning technique i.e. these classes are trained with certain features and then document is classified based on similarity measure with these trained document set. Text classification is used in many applications like assigning the label to the documents, separating the spam messages from the genuine one, filtering of text, natural language processing etc. Feature selection, extraction and classification are various phases for assigning label to any document. In this paper, PCA is used for feature extraction, ABC is used for feature selection and SVM is used for classification. PCA is improved by applying normalization-using size of features in our proposed approach. It reduces the redundant features to larger extent. There are very few research works, which have implemented PCA, ABC and SVM for complete classification. Evaluation parameters like accuracy, F-measure and G-mean are calculated to check classifier efficiency. The proposed system is deployed on 20-Newsgroup dataset. Experiment analysis proves that accuracy is improved using our proposed approach as compared to existing approaches.
A computer simulation for economical order picker routing when considering travel distance and vehicle energy consumption
Authors: Rojanapitoon Theerawat , Teeravaraprug Jirarat
Published: April 2019

Order picking process is considered to be costly processes since takes long processing time and uses a lot of movements. This paper pre-sents a simulation software that utilizes multi-objective mathematical model with a consideration of travel distance and vehicle energy con-sumption. A block stacking warehouse or parallel aisle warehouse is considered in this research and only one picker with his vehicle is utilized. Optimal results of example problems are validated and verified. Finally, conclusion and discussion are given.
Virtual reality training system based on lower limb rehabilitation robot
Authors: Wang Hongbo , Lin Musong , Lin Zhennan , Wang Xincheng , Niu Jianye , Yu Hongfei , Zhang Lili , Vladareanu Luige
Published: April 2019

This paper presents a virtual reality training system for the lower limb rehabilitation robot, which can simulate the bike riding and encourage patients to join in the recovery training through the built-in competitive game. The virtual reality training is a variable speed active training under the constraint trajectory, and it has adapting training posture function which can provide individual riding training track according to the legs length of patients. The movement synchronization between the robot and virtual model is achieved by interaction control strategy, and robot can change the training velocity based on the signal from feedback terrains in game. A serious game about bike match in forest was designed, and the user can select the training level as well as change perspective through the user interface. The training can be paused at any time, and the timer function could reflect the recovery of patient.
Conceptual design of the new generation adaptive learning management system
Authors: Gorbunovs Aleksandrs , Timsans Zanis , Zuga Bruno , Zagorskis Viktors
Published: April 2019

Taking into account that each new day an amount of daily processed data grows exponentially, it is obvious that knowledge society needs flexible, effective and high performing tools to retrieve, learn and apply necessary information. Learning management systems become more and more intelligent and adaptive. Learning analytics instruments give course developers a possibility to assess and analyze learners’ activities and behavior patterns within e-learning environment, allowing to propose them personalized self-paced learning path and types of learning objects. This paper discusses challenges in development of adaptive learning management system and outlines its prospective models and properties.
The walking robots critical position of the kinematics or dynamic systems applied on the environment model
Authors: Migdalovici Marcel , Vladareanu L , Yu Hongnian , Pop N , Iliescu M , Vladareanu V , Baran D , Vladeanu G
Published: April 2019

The exposure is dedicated in the first to mathematical modeling of the environment where the aspects on the walking robots evolution models are described. The environment’s mathematical model is defined through the models of kinematics or dynamic systems in the general case of systems that depend on parameters. The important property of the dynamic system evolution models that approach the phenomenon from the environment is property of separation between stable and unstable regions from the free parameters domain of the system. Some mathematical conditions that imply the separation of stable regions from the free parameters domain of the system are formulated.  In the second part is described our idea on walking robot kinematics and dynamic models with aspects exemplified on walking robot leg. An inverse method for identification of possible critical positions of the walking robot leg is established.
Using Simulation for Development of The Systems of Automobile Gas Diesel Engine and its Operation Control
Authors: G. Shatrov Mikhail , V. Sinyavski Vladimir , Yu. Dunin Andrey , G. Shishlov Ivan , V. Vakulenko Andrey , L. Yakovenko Andrey
Published: April 2019

The work was aimed at the development of gas supply, diesel fuel supply and electronic control systems for automobile gas diesel engines. Different ways of diesel engine conversion to operate on natural gas were analyzed. Gas diesel process with minimized ignition portion of diesel fuel injected by the CR system was selected. Electronic engine control and modular gas feed systems which can be used on high- and middle-speed gas diesel engines were developed. Diesel CR fuel supply system was developed in cooperation with the industrial partner. Simulation was used to obtain basic parameters and control methods of these systems. The base diesel engine was converted into gas diesel engine using the systems developed. Bench tests of the gas diesel engine demonstrated a high share of diesel fuel substitution with gas, high fuel efficiency and large decrease of NOх and СО2 emissions.
Worked out Results of IPCCR Framework for AMS Projects
Authors: Rao Kosiganti Srinivasa , Y. Prasanth Dr
Published: April 2019

The IPCCR framework that was designed to reduce CAPEX and OPEX of Application Support and Maintenance Projects, has helped to understand Incident, Problem, Change, Configuration and Release and directly impacts the costs that are accrued.  Using Proper Incident Management, Problem Management, Change Management, Configuration Management and Release Management, which are the key ingredients of ITIL V3.2 and DevOps reduces the costs of Capital Expenses and Operational Expenses.  The important concept of Known Error Database will subsequently reduce the Operational Expenses as much as possible.
Stabilization of UAV using delta sigma modulator
Authors: Vinoth Kumar V , Balasubramanian E , Mano S
Published: April 2019

The design development and control of Unmanned Aerial Vehicles (UAV’s) have stimulated great significance in the automatic control research for the past 2 decade. In specific, Quad rotor systems are promising platform in the area of UAV research, due to its simple in construction, maintenance, ability to hover, and their vertical takeoff and landing (VTOL) capability. The dynamics and control of quad rotor are highly non-linear and under actuated so it is consider as a test-rig to verify any new proposed nonlinear control algorithm. Different control algorithms were proposed and implemented to stabilize the UAV attitude, and altitude. Adaptive control and navigation algorithms also implemented in UAV platform to ensure the maneuvering against the internal and external disturbances. The proposed research paper explains the implementation of developed digital control algorithm Delta-sigma modulator (DSM) based controller for UAV to enhance the robustness.
Implementing Robots in Defence Through Motion Capture with Mixed Reality
Authors: Yellamma Pachipala , Madhav Bharadwaj Ch , R. Krishna Sai K , Narasimham Challa
Published: April 2019

Our soldiers are fighting for us, risking their lives and people working in mines spoiling their health. In this paper we will see how we will implement the technology of mixed reality and motion capture will give solutions for replacing humans with robots. We can save a lot of lot of human lives and it will be more cost efficient. As on today we are implementing motion capture in analyzing the responses of military soldiers to test their capabilities and doing animations in movies. So let us extend the existing features to implement a remote robot control system that allows us to replace humans with robots.
Structural And Thermal Characteristics of Aluminum Grades 6063 and 7075 with Application of Nano Coatings
Authors: Sridhar Yesaswi Ch , Venkata Sai N , Vivek K , Raju B , Venkat G
Published: April 2019

To fabricate any product, material selection is one of the major constraints for many engineers even on today. An intensive research is being done by scientists and engineers over the properties and characteristics of the materials. Due to the technology advancement, applications of various new products are entering into market with different materials. From the past few decades composites and alloy materials are playing a vital role because of their unique nature. In the present work heat exchangers are taken into application. In nuclear and power plants heat exchangers plays a crucial role in cooling the reactors. When these are made to cool with water by sending through metal pipes over a period of time, metal pipes get easily corroded because of water and thermal conductivity of the metal. When base metals are coated with Nano-particles there is a drastic change in their behavior. In this paper Aluminum grade 6063 and grade 7075 are considered and coated with Al2O3-NaOH Nano fluids. Their thermal and structural characteristics are identified before and after Nano coating.
Attack Resistant Agent Based Dynamic Key Management in Dynamic Wireless Sensor Networks
Authors: Shaik Riaz , Shakeel Ahamad Shaik
Published: April 2019

The adaptation of Wireless Sensor Network (WSN) and its utility in real world applications like healthcare is growing faster. With its growth, it also brought vulnerabilities that cause security attacks. It is more so with the emerging technology known as Internet of Things (IoT) which combines physical and digital worlds. At least, as far as WSN is concerned, it is inevitable to have end to end security to protect communications that are sensitive and confidential.Many security schemes came into existence as found in the literature. However, most of them are inefficient for dynamic key management in dynamic WSN. Recently we proposed a scheme named as Agent Based Dynamic Key Management (ABDKM). In this paper we enhance and evaluate it against various attacks such as black hole and rushing.The enhanced scheme is named as an Attack Resilient-Agent Based Dynamic Key Management (AR-ABDKM). The scheme is implemented using NS2. The simulation results showed the remarkable performance improvement of the proposed scheme besides its attack resiliency.
Classification of Dengue using Machine Learning Techniques
Authors: Sajana T , Navya M , Gayathri YVSSV , Reshma N
Published: April 2019

Dengue infection belongs to the family of virus, Flaviviridae, consisting of four serotypes which spread through the chomp of contaminated Aedes mosquitoes. Around 2.5 billion individuals live in dengue-hazard locales with around 100 million new cases every year around the world. The worldwide predominance of dengue has grown dramatically in later decades. The illness is now endemic in more than 100 nations in Africa, the Americas, the eastern Mediterranean, South East Asia and the western pacific south Asia and the western pacific are the most genuinely influenced. In 1970's only nine nations had encountered DHF plagues, a number which had expanded more than four- crease by 1995[30].Numerous clinical signs are utilized for diagnosing of fever. In any case, it has been an awesome test for the doctors to distinguish the level of hazard in dengue patients utilizing clinical indications. But the disadvantages of clinical procedures make machine learning more powerful in diagnosing of fever in affected patients. Subsequently, this study plans to apply a non-invasive machine learning techniques to help the doctors for ordering the hazard in dengue patients. Conducted a comparison study among Simple Classification and Regression Tree(CART), Multi-layer perception (MLP) and C4.5 algorithms, based on which demonstrating that Simple CART algorithm shows 100% accuracy for classification of affected or unaffected patient.
Data Classification and Personal Care Management System by Machine Learning Approach
Authors: G. Pradeepini Dr , Pradeepa G , Tejanagasri B , Harsha Gorrepati Sri
Published: April 2019

The ace system devices are expected as a key half inside the change of welfare as to such an extent as consistent discerning of patients treatment and preservation of E-pharmaceutical structure. The basic test that patients went up against is that the truth of problem in achieving specialist authorities. This paper proposes Associate in nursing keen structure which will give self-care what is a considerable measure of, checking system which will reproduce the patient in sight of his/her disorder. The methodology are at regardless of reason a patient sends his insight concerning his biopsy and entirely unexpected tests, the system can choose regardless of whether the condition is fundamental or not. In unimportant condition, the sharp system can give the recommendations of which psychological disorder he/she is facing. The structure used can revive information methodically with understanding and learning algorithms. A machine-learning estimation was directed to play out the gathering procedure.
A Gabor Wavelet Based Approach for Off-Line Recognition of ODIA Handwritten Numerals
Authors: Sethy Abhisek , Kumar Patra Prashanta , Ranjan Nayak Soumya , Ranjan Nayak Deepak
Published: April 2019

Optical Character Recognition is one of the most interesting and highly motivated areas of research, which has been very much ap-preciated in different aspect to the area of digitations world. Here in this paper we have suggested a probabilistic approach for develop-ing recognition system for handwritten Odia numerals. To report a good  level of recognition of Odia scripts is quite challenging with respect to other Indian scripts .All the procedure are sequentially enclosed to develop an recognition model and report a successful recognition accuracy. Here we have performed the analysis over to standard handwritten numeral database named as IITBBS Odia Numeral Database, which is collected from IIT Bhubaneswar. In the suggestive recognition system we have adopted a 2D-Gabor wavelet transformation approach for selection of feature vector. Apart from it we have also noted down the dimensional reduction to the obtained feature vector by sustaining to PCA. In order to predict high recognition rate we have followed up by RBF Neural Network classifier. In addition to it we have also evaluate different version of RBF like Gaussian and Polynomial. Performing over 400 samples each of 10 categories (400*10) number of Odia numeral images, we have maintained a well-defined training and testing ratio in the clas-sifier and achieved 98.02%, 96.8%.recognition rate for the reported classifiers.
Integrated Security Home Automation Based on IOT
Authors: V.Srikanth Prof. , Suchetha H , Pravllika K
Published: April 2019

Internet of Things (IoT)is the network of home appliances, vehicles and physical devices, which enables the objects to connect and exchange of the data. By using these components IoT supports to develop numerous services in various domains, such as smart cities and smart homes.These components can interact with other components by enabling security such asproxies, data collection, data sharing and other activities in the context of service providence. Until now various research works have studied on these securityissues ofIoT by validating their claim.In this study we are developing a framework, which provides security to the home as well as to operate the appliances in the home using smart technology.For entering into the house using a biometric system, which uses authentication and digital signature to access.We have used biometric system to overcome problems we are facing. In this project there are different sensors such as water level sensor, light sensor, temperature sensor, gas sensor for operation of different appliances in the house.
Application of Data Mining to E-Commerce Recommendation Systems
Authors: P.V.R.D. Prasad Rao Dr , Varakumari S , B Vineetha , Satish V
Published: April 2019

The rising power of technology has intensely improved the information storage, collection, and manipulation ability. As the information is growing very rapid along with its complexness, data analysis has become more important. The aim of this paper is to recommend products to the user which are more likely to be purchased. This paper, first describes about different techniques for recommendation and the research regarding recommendation system, then suggests a better approach for a good recommendation system and explains the results of that approach. Here, a combination of k-means clustering algorithm and apriori algorithm on transactional dataset so that a better recommendation list can be obtained.
An IOT Based System: a Trust Application for Health System
Authors: Bhagavan K , Srinivas Chalasani , Naresh Mandhala Venkata , Sreenivas V
Published: April 2019

The beginning of the Internet of Things (IoT) period, the quantity of IoT gadgets and sensors is expanding enormously. Our paper is worried about a well being IoT framework comprising of different IoT gadgets conveyed by individuals from an ecological well being group. We are here with proposing a new trust-based basic leadership convention that utilizations trust-based data sharing among the well being IoT gadgets, with the goal that an aggregate information base can be worked to rate the earth at a specific area and time. This learning would empower an IoT gadget following up in the interest of its client to choose either or not it should visit this place/condition for well being reasons. Dissimilar to existing put stock in administration conventions, our trust-based well being IoT convention considers chance arrangement, unwavering quality trust, and loss of well being likelihood as three plan measurements for basic leadership, bringing about a convention appropriate for basic leadership in well being IoT frameworks. Our convention is versatile to boisterous detecting information gave by IoT gadgets either inadvertently or deliberately. We display execution information of our trust-based well being IoT convention and direct a near execution investigation of our convention with two gauge conventions to exhibit the plausibility.
Extreme Power Point Tracking to Yield Maximum Power in Solar Grid System
Authors: Seshi Reddy D , S.S.susmitha G , Yamini N , Yashwanth N
Published: April 2019

To minimize power losses by limiting maximum feed-in power in a PV system. By this, we can get a stable powergenerationoperation. There are currently two types of charge controllers commonly used in Solar PV grid connected power system, (i) PWM (pulse width modulation) & MPPT (Maximum Power Point Tracking). Present solar inverter are not performing good yielding for wide range of irradiance and temperature. In this paper, MPPT adoption target to improve the performance when solar cell temperature varies from moderate to maximum from 450C to 750C. We used modified Perturb and Observation P&O MPPT technique, because it modifies the operating voltage or current of PV panel until we get maximum power extraction at wide range of operating conditions. Another technique opted in this paper, PWM charge controller is a good low cost solution for small capacity inverters only. In DC - DC converter switching strategy such that optimizes charge distribution between the battery bank or utility grid. In this we use only voltage sensor at PV array along with irradiance and temperature inputs and same had simulated in MATLAb2017a environment. The results obtained are satisfactory with consistant performance for wide range of temperature.
A rational approach in the sensory stimuli enhancement for the agnosic
Authors: S. Anitha Jebamani Ms , R. Divya Ms , K. Smruthi Ms
Published: April 2019

Life in today’s world has become very competitive and challenging. In this ambitious realm, learning, perception, application and expression are vital to every existential being. However, there are a few people around the world who are bereft of these fundamentals of liveli-hood. Agnosia is a disorder that exhibits the diminution of the ability to recognize objects, sounds or other sensory stimuli. It Is sometimes described as ‘perception without meaning’. The victim still has the knowledge of the object or the sound, but is unable to asso-ciate it meaningfully. There are varied dimensions of this disorder including visual, auditory and color agnosia.The aim of our project is to create a mobile application for the subjects of this disorder to be able to improve their recognition of objects, faces, sounds and colors through persistent practice and analysis. Illustrations of persons and objects with their descriptions for visual recognition, along with a verbal guide for identification and perception of sounds, and a color-picker to identify right colors will be equipped for study. Assessment criteria for evaluation of their performance will also be devised to keep in check their improvement, based on which graphical overviews and reports will be generated. A pulse sensor will also be appended to keep the pulse of the victim in check while on assessment. This methodical approach could be efficacious for the progression of sensory perception and recognition in the agno-sic.
Mobiles reinventing shopping: A critical review
Authors: Dulloo Rhytheema
Published: April 2019

The purpose of this paper is to provide clear understanding of the increasing use of mobiles for shopping to e-tailers by classifying and organizing an exhaustive review of prior theoretical literature. To conduct the review author draws a sample of 250 articles published from addressing mobile shopping behavior of customers. This paper provides foremost organized review of mobile shopping literature thus providing opportunities for brands to build a focused marketing tactic to enhance mobile shopper engagement, leading to increased sales.
A novel based software testing process for user-friendly projects
Authors: Babu Rao Kuntam
Published: April 2019

Technology is growing very fast with various changes in Computer Systems. They are chasing human life. They are used in various fields around us. There are some governments who fund for computer systems. Still research related them is carry on and will carry. Mostly there services are used in defense purpose. Based on computer technology there are so many improvement in them, even embedded system are developed. Any system can present some risk to its owner’s, users and environment. Risk is based on low and high. Some systems present more risk than others. Those which are related to more risk are called safety-critical systems. Safety critical systems are categorized into dangerous systems whose failures could result in loss of life, loss of revenue, knowing them and unable to solve them is sabotage to property damage or damage to the environment. This paper focus better exercises for making good user-friendly software. Every system has two sides as if coin, one side is the physical system with hardware and other side is software. If anything is neglected, there is a chance of bug appears at run-time. This may cause loss to humans. Again a committee report will be preserved for future purpose.
Sparql query processing in relational databases
Authors: Ri Kim Ju , Zhao Zhanfang , Kook Han Sung
Published: April 2019

Background/Objectives: The mapping RDB to RDF has become important to populate Linked Data more efficiently. This paper shows how to implement SPARQL endpoint in RDB using a conceptual level mapping approach.Methods/Statistical analysis: Many diverse approaches and related languages for mapping RDB to RDF have been proposed. The prominent achievements of mapping RDB to RDF are two standard draft Direct Mapping and R2RML proposed by W3C RDB2RDF Working Group. This paper analyzes these conventional mapping approaches and proposes a new approach based on schema mapping. The paper also presents SPARQL query processing in RDB.Findings: There are distinct differences between instance level mapping and conceptual level mapping for RDB2RDF. Data redundancy of instance level mapping causes many inevitable problems during mapping procedure. The conceptual level mapping can provide straightforward and efficient way. The ER model in RDB and RDF model in Linked Data have obvious similarity. The ER model describes entities and relationships, which is the conceptual schema of RDB. RDF model consists of three parts: subject, predicate and object, which is the standard model for data interchange on the Web. The entities in ER model and subjects in RDF model are all the things that can be anything in the real world. Both the relationships in ER model and predicates in RDF model describe the relations between things.Since RDB and RDF share the similar modeling approach at the schema level, it is reasonable that mapping approach should be based on RDB schema. This kind of conceptual level mapping also can provide efficient SPARQL query processing in RDB.Improvements/Applications: The paper realizes SPARQL query processing in RDB, which is based on conceptual level mapping. The query experiments show that it is a concise and efficient way to populate Linked Data.