bluuebunny/crossref_metadata_2025 huggingface dataset:
Load and Emission Characteristics of Pongamia Pinnata Oil in ACI Engine
Authors: Sankar V.V. Arun , Arun Pravin AP , Suresh P
Published: May 2018

As the world is running on fossil fuels there has been an ever increase in the depletion rate of these fuels. A promising and a best alternate to the fossil fuel is vegetable oils. Pongamia Pinnata oil is non edible in nature and is available abundantly in India. An experimental investigation is made to evaluate the performance, emission and combustion characteristics on a compression ignition engine by using methyl ester of pongamia with mineral diesel in different proportions. Pongamia methyl ester was blended with diesel in proportions of 50% and 100% by mass and the results are tabulated and evaluated under various test conditions. The performance parameters were found to be very close to that of mineral diesel. The brake thermal efficiency and mechanical efficiency were better than mineral diesel for some specific blending ratios under certain loads. The Efficiency and emission characteristics were also studied and levels of carbon dioxide, carbon monoxide, nitric oxide and hydrocarbons were found to be equal than pure diesel.
Driver Assistance System using in-vehicle Traffic Lights and Signs
Authors: Jain Vaibhav , . Tanay , Gangele Saransh , Kalimuthu K
Published: May 2018

In recent years, with the advancement of vehicular communication, it is possible to detect various road signs and provide traffic light information to the driver inside the vehicle with the application of heads-up display (HUD). It detects road signs, does basic classifications and accordingly directs the driver to slow down or stop the vehicle. The vehicle’s heads-up display keeps the driver focused by providing road warnings, speed limit, traffic signals and some vital navigation information in the driver’s line of sight(LOS). This system has 4 phases, Image recognition, wireless communication, obstacle detection and driver mechanism. This system aims to create a prototype of a smart driver assistance system which provides better road traffic and driver’s safety in countries with high traffic congestion where fully automated vehicles cannot function effectively. This system can be easily implemented in real time scenarios to reduce accidents and enhance the convenience of driving.
Huffman coding packet balancer based data compression techniques in Wireless Sensor Network
Authors: Rao Varun , Nukala Sandeep , G Abirami , R Deepa , Venkataraman Revathi
Published: May 2018

In Wireless Sensor Networks, sensor devices perform sensing and communicating task over a network for data delivery from source to destination. Due to the heavy loaded information, during packet transmission, sensor node will drain off its energy frequently, thus led to packet loss. The novelty of the proposed work is mainly reducing the loss of packet and energy consumption during transmission. Thus, Huffman coding packet balancer select the best path between the intermediate nodes and are compared based on transmitting power, receiving and sensing power these measure the QOS in wireless sensor network.  To satisfy the QOS of the node, compressed packet from source to destination is done by choosing the best intermediate node path. The advantages of the proposed work is minimum packet loss and minimize the end to end delay. Sparse recovery is used to reconstruct the path selection when there is high density of node.
Brain Tissue Classification using PCA with Hybrid Clustering Algorithms
Authors: Karuna Yepuganti , Saladi Saritha , Bhattacharyya Budhaditya
Published: May 2018

Distinct algorithms were developed to segment the MRI images, to satisfy the accuracy in segmenting the regions of the brain. In this paper, we proposed a novel methodology for segmenting the MRI brain images using the clustering techniques. The Modified Fuzzy C-Means (MFCM) algorithm is pooled with the Artificial Bee Colony (ABC) algorithm after denoising images, features are extracted using Principal Component Analysis (PCA) for better results of segmentation. This improves the ability to extract the regions (cluster centres) and cells in the normal and abnormal brain MRI images. The comparative analysis of proposed methodology with existing FCM, ABC algorithms is evaluated in terms of Minkowski score. The proposed MFCM-ABC method is more robust and efficient to hostile noise in images when compared to existing FCM and ABC methods.
Optical Compute Engine Using Deep CNN
Authors: Zaveri Zainab , Gosain Dhruv , Prakash M Arul
Published: May 2018

We present an optical compute engine with implementation of Deep CNNs. CNNs are designed in an organized and hierarchical manner and their convolutional layers, subsampling layers alternate with each other, thus   the intricacy of the data per layer escalates as we traverse in the layered structure, which gives us more efficient results when dealing with complex data sets and computations. CNNs are realised in a distinctive way and vary from other neural networks in how their convolutional and subsampling layers are organised. DCNNs bring us very proficient results when it comes to image classification tasks. Recently, we have understood that generalization is more important when compared to the neural network’s depth for more optimised image classification. Our feature extractors are learned in an unsupervised way, hence the results get more precise after every backpropagation and error correction.
Adaptive filter based current controller for Shunt Active filter
Authors: Sriranjani R , Jayalalitha S
Published: May 2018

This paper deals with the harmonic mitigation and reactive power compensation using Shunt Active filter. The performance of the Shunt active filter depends on the design and current control technique for generating a reference current. The design of the filter involves the iterative procedure for choosing the filter components so that it compensates the harmonics and reactive power for maximum load condition. The current controller method adopted for indirect current control technique where the reference signal is similar to the supply current signal. The Adaptive filter used in current controller mitigates harmonics and reactive power and voltage control loop of SAF balancing the active power between the load and supply unit. The learning rate is fixed by repeated simulation. The SAF active filter is tested in four load condition ie., nonlinear load(37% Total Harmonic Distortion(THD)),highly nonlinear load(>100% THD), linear load(<8% THD, power factor(pf) <0.5) and both nonlinear and linear load(37% THD and 0.7 pf). The study is carried out in MATLAB Simulink and the results are presented.
Experimental Study on Reactive Powder Concrete under Flexural Loading
Authors: P Jeganmurugan , Senthil Kumar G V Rakesh , M Sivasharmina , S Sowmiya , M Vasanthan
Published: May 2018

Reactive powder concrete (RPC) is ultra high strength with advanced mechanical properties. Reactive powder concrete is a concrete without coarse aggregate, contains cement, silica fume, quartz sand, quartz powder, super plasticizer, steel fibre and polypropylene fibre with very low water cement ratio under normal curing condition. RPC has been produce with high compressive strength ranging from upto 800 MPa with high flexural strength up to 50 MPa and in some cases provided with absences of steel reinforcement. Mix proportions of RPC were found by trial and error method, the concrete cubes of size 100mmx100mmx100mm were cast for find compressive strength of NRPC at 7days. Concrete cubes and cylinders of sizes 100mmx100mmx100mm and 100mmx150mm have to be cast for finding compressive strength and split tensile strength at 28 days. Flexural strength of NRPC and MRPC will be find out by casting prism of size 500mmx 100mmx 100 mm. The optimum mix proportion has to be finalized by comparing the results of all concrete specimens. Compressive strength test results shows that addition of silica fume upto 0.22% will increase the compressive strength of reactive powder concrete.
A Modern Approach for Software Cost Estimation using Neural Networks
Authors: AleemBasha Shaik. , P. Singh R
Published: May 2018

Programming planning estimation and examination especially, cost estimation exercises have been in the point of convergence of thought for a few associations. Maker explores the usage of the ace result declaration and machine learning methods using intelligent framework and moreover focusing COCOMO II method to manage estimate the cost of programming. Few basic techniques in the usage of neural framework in surveying programming cost. Made to great degree exact results, however the genuine incident in their work was a direct result of the way that the precision of the report depended enthusiastically on the degree of the planning set [4]. Getting the hardship in implementing neural frameworks, the maker makes a dynamic neural framework that would at first use COCOMO II. Sorting out upgrades and its results the amount of instructive gathering augmentations with commitment from ace finalizing that effects the   studying strategy.
Investigational of optimization in machining substitute - Fuzzy Logic on WEDM by O2 Steel
Authors: S Shanmugan , P Selvaraju , S Palani
Published: May 2018

New relevancy making of moo slide second-hand earthborn retentiveness with the WEDM projection have been spotlight a entangled, tempo-varying & random prosecute and input & reap remain excessive variables in Fuzzy Logic techniques. WEDM is a correspondent quotation of greatly input to the speculator with variables various wander of fluff algorithmic program. WEDM has manner the materials with the ragged severe act to the aggravation of added than separate rota actions namely. Metal removal standard (MRR) is clear sort and trauma width is prescribe to procure truthfulness composition have been utility of the Taguchi-Fuzzy Logic supported technique of argument sketch, the symbol manifestation of machining parameters and detail attempt is grade as quiver mothery age, pry incidental, pulsation on period, proceed standard and score string force. Taguchi-fluffy supported on map to MRR and TWR with the productiveness of discover to that of though machining control to every regulator workings and is usage plan of the demonstration to clatter(S)
Exploration of Device in Mechanical Properties - Treated Coir Sheath by Epoxy Resin expenditure Fuzzy Logic Rule
Authors: S Shanmugan , P Selvaraju , S Palani , S Sai malar , V Keerthana , M Sangeetha , Shree V Monika
Published: May 2018

Mechanical properties of the regulator multifaceted schemes additional well than outmoded approaches Fuzzy logic in this research manufacture contracts around the construction procedure than spare coir sheath reinforced polymer composite material. The scheme of fuzzy logic organizer has three efforts to prosper accurate coir casing armored polymer composite lasciviously. It stood established to incomes for indicator lay-up distance to ethyl methyl ketone peroxide catalyst, cobalt naphthalene as an accelerator. Action of coir to NaOH at dissimilar reach retro is achieved in a oversight of advance fuzzy logic to attachment asset amongst fibres of environment resources and alignments upheld to coir fibres. To decompound breadth is invented secure at 3mm.Flexural asset to a fibres is enhanced afterwards benefaction the fibres for 10 hours of alkali operation. Established on the possessions dirty for choir, imagine fibres should be peculiar to using Fuzzy logic equally to support of green composites.
Stimulating electrode Design for Implantable Sub Retina Research Application: A Novel Approach
Authors: Alavanthar T , Ellappan V
Published: May 2018

This paper aims to study and converse the theoretical model of neural stimulation implant electrodes with the electrochemical aspects of design. The study investigates the practically realizable hypothetical model of minimal invasive retinal implant (miRI) stimulating electrodes for restoring lost sight of patients blinded by degenerative retinal diseases. The basic elemental methods of charge injection by the stimulation electrode to tissue are pointed out.  A prologue on the developments of vision implants and electrode characteristics were presented. We communicated the most important factors considered in this design stage of modeling, such as electrode position, size, impedance, charge injection capability, temperature change of the targeted retinal tissue and it’s surrounding for vision implant system. In this design, a mathematical model is created to investigate for the all above said factors which influence implants positioned at internal surface of the retinal tissue. This investigation gives an initial step in design verification before the fabrication.
Parametric Optimization and Control of Heat Exchanger using Linear Quadratic Controller and Dynamic Matrix Controller
Authors: Kesavan E , Divya N , Gowthaman N , Manoharan S
Published: May 2018

Heat exchanger plays a important role in many unitsas they have the capability to hold different temperarure and pressure range. In this paper the linear quadratic controller and Dynamic matrix controller is implemented for heat exchanger system. The  out let temperature of the tube is controlled by monitoring the inlet flow rate by using different controllers. The model of the system has been obtained from experimental data using system identification technique. The LQR and DMC is compared by analyze the servo performance in the system in terms of settling time, overshoot and rise time.
Intelligent web-based E-learning system
Authors: K Deepa , P Gangeswar , M Manikandan , C Charulatha
Published: May 2018

This paper is based on Web Application and it is host on the cloud web server. The main theme of that paper is study oriented material are bind to form the single website. It is mainly used for students to refer there department’s major paper oriented topic. This paper severs in the way of a video tutorial, presentation and relevant edition of book. It can be categories into a different part of languages C, C++, JAVA, database, computer networks etc. Whatever area the user wants they can be searched to use that material. There are three categories of user they are an admin, moderator and visitor. Admin having all permission to view the detail of the users. This will help to know what requirement the user needs. The visitor is a general user to visit the website to surf the study content and having some doubt about the subject they permit to post on that site. Moderator is the intermediate between the admin and the visitor, they have to upload the videos and presentation content and have to reply the posted questions also. The web framework was developed with the help of python-Django 1.11.1. It is one of the web frameworks that has inbuilt module and API. The user gets login with the help of Google authentication. In that way they detail can be stored in the database. Sqlite3 version database is used for fast retrieving and storing the data. The front end of this project is using HTML, CSS, and JavaScript. This will provide the good user-interface. The hijacker module is used to improvise the search content.
Green cognitive communication approaches
Authors: Devi M , Thalaimalaichamy M , Usha G , T. Panneerselvam K , Suba M , Venkateshkumar M
Published: May 2018

Generally one of the reasons for global warming is Co2 emission. The rapid growth of wireless communication is the reason for more emission. This creates more health issues, especially children. To reduce the issues, now the wireless communication is tilted towards green communication. Green communication cannot be achieved in single step. In this paper some of techniques are followed to achieve sustainable communication. The main objective of this paper is cognitive radio (CR), which makes use of spectrum in efficient way. In our proposed system, we focused on green cognitive cycle, Cognitive radio-Ultra wide band (CR-UWB) and Cognitive radio-Orthogonal Frequency Division Multiplexing (CR-OFDM). With these above methods we achieved better achievements in terms of efficiency, less time delay, resource utilization and low power for 5G wireless green communication.
Determination of influencing metricsin water fall model
Authors: David K , Anand R
Published: May 2018

You cannot control what you can’t measure - Tom DeMarco -Metrics plays a critical role in any industry. The metrics can tell the senior management the health of the activity in that organization. In the paper, we have studied the relationship between the metrics and the quality of deliverables. Once the right metrics are identified for a particular phasein the life cycle model it will help the project manager to proactive-ly detect the issues earlier and arrest the defects. This can help the project teams to deliver the product on time without defects. There by the cost of the projects can be reduced which in turn will have high customer satisfaction.
A survey of mobile cloud computing offloading concepts based on measurements and algorithms
Authors: Piramu Preethika SK , Gobinath R
Published: May 2018

Handheld computing devices at the moment everywhere in the arms of generation dependent human beings of every age. Clients are looking for new innovative thoughts to first and best utilization of Smart Mobile Devices. The rapid enlargement of the number of clever telephone users has given rise of various research subjects. While the technological advancements are happening from hardware and package levels, novel ideas are being introduced. One amongst those ideas is Mobile Cloud computing which is the mix of cloud computing, mobile compu-ting and wireless networks to bring wealthy process resources to mobile users, network operators, yet as cloud computing suppliers. MCC offloading is a technique to overcome the barriers like battery life, memory usage, computation difficulties faced in Mobile computing with the help of cloud. This survey not only focuses on the concepts of offloading, it also concentrates on the measurements and basic ideas of Mobile Cloud computing related algorithms.
Survey on classifier algorithms for health care system in diabetes
Authors: P Krishnamoorthy , R. Gobinath Dr
Published: May 2018

Health care is huge, complex and heterogeneous platform for finding out missing values as well as predicting human diabetes with the use of data mining techniques. Diabetes mellitus is a major chronic disease which can be a challenging issue among worldwide. An effective medical diagnosis can be possible by discovering necessary information from medical dataset. The diabetes affected zone patterns can be identified with the proper implementation of data mining technique. This paper focuses about diabetes mellitus and research work carried out on data mining technique to solve diabetes mellitus. This paper also focuses on taking a various measurement points and techniques adopted by different researches, and discusses about the recent and effective algorithm to short out diabetes mellitus.
Performance metrics in wireless sensor networks :a survey and outlook
Authors: Ramya E , Gobinath R
Published: May 2018

Data mining plays an important role in analysis of data in modern sensor networks. A sensor network is greatly constrained by the various challenges facing a modern Wireless Sensor Network. This survey paper focuses on basic idea about the algorithms and measurements taken by the Researchers in the area of Wireless Sensor Network with Health Care. This survey also catego-ries various constraints in Wireless Body Area Sensor Networks data and finds the best suitable techniques for analysing the Sensor Data. Due to resource constraints and dynamic topology, the quality of service is facing a challenging issue in Wireless Sensor Networks. In this paper, we review the quality of service parameters with respect to protocols, algorithms and Simulations.
Literature review on multimodal biometrics
Authors: Arunarani S , Gobinath R
Published: May 2018

As technological reformation is widen, biometric systems substitute knowledge based and token based recognition systems. Confidential data are accessed by the user after the user is recognized by biometric systems. Efforts have been made to acquire more suitable prototype for recognizing human as multimodal biometrics has more severe concern because of noise in the sample and malfunctioning sensing devices. This paper gives a dual study related to multimodal biometrics, including a literature review of the prior work in authentication and the proposed evaluation approaches. First, we classify few epitome studies considered in last decades to show how this problem has been solved until now. Second, the paper gives a introduction about basic principles of the associated evaluation approaches, and then provide an extended evaluation framework based on the enrollment selection and also statistically convincing measures for evaluating quality metrics.
A survery on platform of secured routing algorithm
Authors: Divya Miss , R. Gobinath Dr
Published: May 2018

This paper describes the characteristics and techniques of Ad Hoc network. Ad Hoc networks are temporary network, set anywhere with-out any need of external infrastructure like wires. The essential premise of this paper is to exchange confidential message over wireless medium without route break and unauthorized eavesdroppers. In recent years, the research of routing protocol for AdHoc network has caused public concern widely. The multi hopping routing protocol has failed to meet the needs of network topology and route restructure. It must also consider the bandwidth and high error rate. The new routing protocol suitable for solving these problems in Ad Hoc network is AODV.
Identifying the unauthorized user in e-government compliant system using valid proofs
Authors: T Mekala , B Devakar , P Govindhasamy , Kanna B Nishkal
Published: May 2018

Citizens of our country face municipal complications like Street damage, Street cleaning, Garbage bin overflowing, light post damage, wa-ter outage etc. They started to register their complaints with advanced technologies. The complaint registration has many ways to file their complaints, it makes easier to register the complaint and saves our time. To solve these types of complications, we are going to implement a web application that helps the people to intimate about their issues directly to the government officer. So when the people iden-tify any complications in the city`s environment then, the government officer will solve the complications through his web portal. This will minimize time as well as money to go to an office for complaint registration. If the problem solved by those subjective then user will get the problem solved message. Otherwise, the problem will be again send to higher authorities to take action about it. The message alert will hap-pens repeatedly until the problem gets solve. Only the authorized persons have the rights to create the account by using aadhar card etc.
Classes involved in implementing remote method invocation (RMI) feature in java
Authors: Sudarsan V , Sugumar R
Published: May 2018

This work is aimed at discussing about the Java classes that are involved in implementing the Remote Method Invocation feature in Java. Remote Method Invocation feature is used in applications involving distributed processing. Applications based on distributed processing enable load sharing.
Support vector machine the most fruitful algorithm for prognosticating heart disorder
Authors: Murugesan M , Elankeerthana R
Published: May 2018

One of the wealthiest areas of research is Data mining that is more popular in healthcare organizations. Heart disease is the main outcome of death in the human society over the recent years. Heart disease is serious life threatening diseases that result to death. In order to save a pan-tient’s life, the doctors and medical examiners are being taking many efforts. The consultant of doctor’s determination can make without the advice of specialists because of the software develop by the advancement in computer technology. In most of the papers, Data mining tech-niques used in the existing method in the research are Naive Bayes, Decision tree, J48, K-Nearest Neighbor (K-NN) (or) Lazy IBK algo-rithms to predict heart diseases. In this paper, support vector machines (SVM) technique will produce the most accuracy prediction rate for heart diseases while comparing to all the other techniques used in data mining.
Farm field monitoring and irrigation automation using IOT
Authors: Vinoth M , Vithiya G
Published: May 2018

The Agricultural farming crops are produced in low qualitydue to lack of knowledge of farmers and crops destroyed by insects. To overcome that, many implemented factors are used. The factors can be temperature,soil,humidity,etc.,In biotechnology,some techniques are used withthe help of IoT. It is mainly used to increase the crops productivity in good quality.Existing related research works on sensor cloud have primarily focused on the challenges that wireless sensor network (WSN)-based applications. A direct estimate of water use by subsurface measurements of soil water content has been limited by the high cost of reliable soil moisture sensors. Using some sensors and techniques water can be irrigated automatically.IOT plays a vital role in smart farming.By using set of specified sensors,the irrigation man-agement can be done properly.The sensed data from the sensors and the irrigation controller are interfaced with Wi-Fi connection. In naive Bayes, by using decision making process the farmer can decide when and where to irrigate with the help of mobile application. An algo-rithm was developed with threshold values of temperature and soil moisture that was programmed into a microcontroller-based gateway to control water quantity.
Safe sonet: a framework for building trustworthy relationships
Authors: MR Neethu. , Harini N
Published: May 2018

The advent of easy to use services and the ability to bridge boundaries in space and time has increasingly changed our social lives and com-munication habits. Being unaware of their audience people on social networks inconsiderately share many personal items. Generally Social Networking Sites (SNS) users depend on the SNS platform for managing their social identities. Although SNS providers have introduced privacy settings to protect users against threats, these are insufficient and the access control models are difficult to be understood by novice users [1]. Unexpectedly, even those who are aware of the security and privacy threats and the preventive tools that combat those threats, lack the motivation to utilize security features to protect themselves. The paper discusses a frame-work (Safe SoNet) that aims to provide a plat-form for secure sharing of posts. The objective of this framework is twofold. Firstly, to analyze user behavior by retrieving user information from various social networking sites, addressing transliteration issues. Secondly, apply the user behavior to quantify the trust score of a connect, which would in turn form a decision making parameter to decide on the peer with whom the information can be securely shared.
Image salvage based on visual courtesy model using ROI
Authors: Deepa K , Priyanka K
Published: May 2018

The process of demonstrating, organizing and evaluating the pictures regarding the information despite of evaluating pictures is the field of Content Based Image Retrieval (CBIR). Here we work on the salvage of images based not on keywords or explanations but on features haul out directly from the image data. The well-organized algorithms of salvage algorithms are already proposed. Content Based Image Retrieval has replaced Text Based Image Retrieval. CBIR is processed by more methods and research scientists are working to improve the accuracy of the technique. The project presents that the ROI from an image is retrieved and it retains the image based on Teacher Learning Based Optimization genetic algorithm. The retrieval of the image improves the efficiency based on two metrics such as precision and recall which is the main advantage of the project. The issue of Content Based Image Retrieval systems to provide the semantic gap and to determine the variation between the structure of visual objects and definition of semantics. From the human visual system the visual courtesy is more projected for the purpose of Content Based Image Retrieval. The new similarity based matching method is described based on the saliency map which retains the courtesy values and the regions of interest are hauled out.
Analyzing student performance using evolutionary artificial neural network algorithm
Authors: S. Arunachalam A , Velmurugan T
Published: May 2018

Educational Data Mining (EDM) and Learning Systematic (LS) research have appeared as motivating areas of research, which are clarifying beneficial understanding from educational databases for many purposes such as predicting student’s success factor. The ability to predict a student’s performance can be beneficial in modern educational systems. This research work aims at developing an evolutionary approach based on genetic algorithm and the artificial neural network. The traditional artificial neural network lacks predicting student performance due to the poor modeling structure and the capability of assigning proper weights to each node under the hidden layer. This problem is overwhelmed with the aid of genetic algorithm optimization approach which produces appropriate fitness function evaluation in each iteration of the learning process. The performances gradually increase the accuracy of the prediction and classification more precisely.
Lung cancer detection and classification on CT scan images using enhanced artificial bee colony optimization
Authors: Perumal S , Velmurugan T
Published: May 2018

In recent years, prediction of cancer at earlier stages is obligatory to increase the chance of survival of the afflicted. The most dreadful type is lung cancer, which is identified as one of the most common diseases among humans worldwide. In this research work, the raw input image which usually suffers from noise issues are highly enhanced using Gabor filter image processing. The region of interest from lung cancer images are extracted with Otsu’s threshold segmentation method and 5- level HAAR discrete wavelet transform method which possess maximum speed and high accuracy. The proposed Enhanced Artificial Bee Colony Optimization (EABC) is applied to detect the cancer suspected area in CT (Computed tomography) scan images. The proposed EABC implementation part, utilizes CT (Computed Tomography) scanned lung images with MATLAB software environment. This method can assist radiologists and medicinal experts to recognize the illness of syndromes at primary stages and to evade severe advance stages of cancer.
Applying compression algorithms on hadoop cluster implementing through apache tez and hadoop mapreduce
Authors: E. Laxmi Lydia Dr , Srinivasa Rao M
Published: May 2018

The latest and famous subject all over the cloud research area is Big Data; its main appearances are volume, velocity and variety. The characteristics are difficult to manage through traditional software and their various available methodologies. To manage the data which is occurring from various domains of big data are handled through Hadoop, which is open framework software which is mainly developed to provide solutions. Handling of big data analytics is done through Hadoop Map Reduce framework and it is the key engine of hadoop cluster and it is extensively used in these days. It uses batch processing system.Apache developed an engine named "Tez", which supports interactive query system and it won't writes any temporary data into the Hadoop Distributed File System(HDFS).The paper mainly focuses on performance juxtaposition of MapReduce and TeZ, performance of these two engines are examined through the compression of input files and map output files. To compare two engines we used Bzip compression algorithm for the input files and snappy for the map out files. Word Count and Terasort gauge are used on our experiments. For the Word Count gauge, the results shown that Tez engine has better execution time than Hadoop MapReduce engine for the both compressed and non-compressed data. It has reduced the execution time nearly 39% comparing to the execution time of the Hadoop MapReduce engine. Correspondingly for the terasort gauge, the Tez engine has higher execution time than Hadoop MapReduce engine.
Generation of dynamic energy management using data mining techniques basing on big data analytics isssues in smart grids
Authors: E. Laxmi Lydia Dr , Prasanna Kumar B , Ramya D
Published: May 2018

The Optimal bidirectional flow of the electric power and the communicational data between suppliers and consumers are greatly enabled by the Smart Electricity in Grid. Reliable and Feasible micro energy generated due to Dynamic Energy Management (DEM) and the electricity market by consumers and suppliers. The smart grid features ICCM, aims to bring out the power at reduced cost. Powerful and practical DEM relies on load and sustainable production. Smart meters attain the huge data quantity through practical methods and solutions in this real world working. Smart Grids are enhanced by the operations such as data analytics, giving out high performance estimation, Adequate data network management and cloud computing. This paper aims focusthe issuesin big data and challenges experienced by the Dynamic Energy Management signed in Smart Grid. A detail explanation of data processing techniques that are mostly implemented and It also provides a brief description of the most commonly used data processing methods and recommended proposes a upcoming future directional research in thefield.
Metamorphosis of data (small to big) and the comparative study of techniques (HADOOP, HIVE and PIG) to handle big data
Authors: Kaur Rapinder , Chauhan Vaishali , Mittal Urvashi
Published: May 2018

Immoderate amount of data is being generated everyday across the world via miscellaneous sources or fields which create issues to the users. Due to this rapid growth, the crucial issue is to analyse the big data with the help of traditional data processing tactics. Structured data is not the peerless but moreover unstructured data and semi-structured data charge up the supplementary consequences to handle this voluminous data. As in this gigantic bulk of data highly advantageous information is hidden which can be good for what ails the individual, group or organization and for adding up to more sophisticated or valuable decisions. So in order to deal with this many new tools and techniques have been excogitated. These tools can analyse the large volume of data being generated at unprecedented speed. This paper shows the comparative study of some of the data analytics techniques which can untangle the big data analytics issues by examining it in more précised manner. The contrast study of Hadoop, Hive and Pig has been illustrated which covers the working of these techniques.
EMOPS: an enhanced multi-objective pswarm based classifier for poorly understood cancer patterns
Authors: Subasree S , Gopalan N P , Sakthivel N K
Published: May 2018

Microarray based Cancer Pattern Classification is one of the popular techniques in Bioinformatics Research. This Research Work is noticed that for studying the expression levels through the Gene Expression profiling experiments, thousands of Genes have to be simultaneously studied to understand the patterns of the Gene Expression or Cancer Pattern. This research work proposed an efficient Cancer Pattern Clas-sifier called An Enhanced Multi-Objective Pswarm (EMOPS) and it is studied thoroughly in terms of Memory Utilization, Execution Time (Processing Time), Sensitivity, Specificity, Classification Accuracy and FScore. The results were compared with the recently proposed classifiers namely Hybrid Ant Bee Algorithm (HABA), Kernelized Fuzzy Rough Set Based Semi Supervised Support Vector Machine (KFRS-S3VM) and Multi-objective Particle Swarm Optimization (MPSO). For analyzing the performances of the proposed model, this work considered a few cancer patterns namely Bladder, Breast, Colon, Endometrial, Kidney, Leukemia, Lung, Melanoma, Mom-Hodgkin, Pancreatic, Prostate and Thyroid. From our experimental results, it was noticed that the proposed model outperforms the identified three classifiers in terms of Memory Utilization, Execution Time (Processing Time), Sensitivity, Specificity, Classification Accuracy and FScore. To improve the performance of the system further in term of Processing Time, the proposed model Enhanced Multi-Objective Pswarm (EMOPS) is implemented under Parallel Framework and evaluated. That is the model is tested with Two, Four, Eight and Sixteen Parallel Processors and from the results, it is established that the Processing Time decreases considerably which will improve the performance of the Proposed Model.
Parallel framework based gene signature-hierarchical random forest cluster for predicting human diseases
Authors: Sakthivel N K , Gopalan N P , Subasree S
Published: May 2018

Gene is not responsible for many Human Diseases and instead, diseases occur by different or group of genomes interacting together and cause diseases. Hence it is need to analyse and associate the complete genome sequences to understand or predict various possible human diseases. This research work focused i. Hierarchical-Random Forest based Clustering (HRF-Cluster), ii. Genetic Algorithm-Gene Associa-tion Classifier (GA-GA) and iii. Weighted Common Neighbor Classifier (wCN). These Classifiers were implemented and studied thor-oughly in terms of Prediction Accuracy, Memory Utilization, Memory Usage and Processing Time. To improve the performances of the Gene Classifiers / Predictors further, this research work was proposed and implemented Gene Signature based HRF Cluster, G-HR. Re-sults show that that the performances of the proposed Classifier G-HR is outperforming as compared with the identified three Classifiers in terms of Disease Pattern Prediction, Processing Time, Memory Usage and Classification Accuracy. To improve the performance of the system further in term of Processing Time, the proposed model G-HR is implemented under Parallel Framework and evaluated. That is the model is tested with Two, Four, Eight and Sixteen Parallel Processors and from the results, it is established that the Processing Time de-creases considerably which will improve the performance of the Proposed Model.
A Comparative analysis of the methods used for building Information / Content Centric Networks over Software defined networks
Authors: Vishnu Priya B , JKR Sastry Dr
Published: May 2018

Ability to transfer huge amount of content to the target is the present-day requirements of the users which is not being used through internet-based protocol due to static nature of the internet. Software defined networks (SDN) provides the flexibility to implement any architecture as the control and data plane are separated. Information / content centric networks (ICN / CCN) can be implemented using SDN. The requirement of the massive delivery of the content can be archived through ICN/CCN.In this paper a comparative analysis of the methods used for building information centric networking ICN / CCN over software defined networks has been presented. The areas of research that needs to be undertaken further have also been cited in the paper.
Hesitant Fuzzy Linguistic Term Sets with Fuzzy Grid Partition in Determining the Best Lecturer
Authors: Simanihuruk Tiarma , Hartono H , Abdullah Dahlan , Ita Erliana Cut , Napitupulu Darmawan , Ongko Erianto , Rahim Robbi , . Sukiman , Saleh Ahmar Ansari
Published: May 2018

Decision-making on conditions that involve many alternatives, many criteria, and many judgments is a difficult thing to do. The difficulty is coupled with assessors who sometimes make decisions in hesitant, unclear, and inconsistent circumstances and each person can provide different judgments. One of the methods that can be used is Hesitant Fuzzy Linguistic Term Sets which is the development of Fuzzy Sets that can make decisions by using Hesitant Fuzzy Sets. Hesitant linguistic term has been introduced for capturing the human way of reasoning using linguistic expressions involving different levels of precision. The integration of Hesitant Fuzzy Linguistic Term Sets with Fuzzy Grid Partition will enhance the ability in the decision making process. This research will discuss the use of Hesitant Fuzzy Linguistic Term Sets method and Fuzzy Grid Partition for best lecturers determination.
Recent Analysis of Maximum Rain Period
Authors: Soehardi Fitridawati , Dinata Marta
Published: May 2018

Control and Handling of Flood Issues No Regardless of optimum infrastructure availability in flood control efforts such as soil walls, irrigation networks, dams, drainage and others. Planning in the design of water structures for flood control needs to use accurate information and data of the population, such as information on the maximum rainfall data of the area with a certain repetition period, it is necessary to calculate the flood discharge of the plan so that it can calculate the capacity of the dam to be built. This study aims to determine the ratio of maximum rainfall using three calculation methods, namely Iway Kadoya, EJ Gumbel and Log Person III. This research was conducted to get an idea of the maximum rainfall with a return period of 2,5,10,15,20, .... 100 years. The location of this research is conducted in Tualang Subdistrict, the data of the period of maximum rainfall is using the data of rainfall observation station in Tualang Subdistrict. Based on the calculation of rainfall design done can be concluded that the calculation of rainfall design with Iway Kadoya method is greater when compared with Log Pearson Type III and EJ method. Gumbel.
C4.5 Classification Data Mining for Inventory Control
Authors: Rahim Robbi , Zufria Ilka , Kurniasih Nuning , Yasin Simargolang Muhammad , Hasibuan Abdurrozzaq , Utami Sutiksno Dian , Freedom Nanuru Ricardo , Nikolas Anamofa Jusuf , Saleh Ahmar Ansari , Daengs GS Achmad
Published: May 2018

Data Mining is a process of exploring against large data to find patterns in decision making. One of the techniques in decision-making is classification. Classification is a technique in data mining by applying decision tree method to form data, algorithm C4.5 is algorithm that can be used to classify data in tree form. The system has been built that shows the results of good performance and minimal error in view of the system that is able to distinguish the anomaly traffic with normal traffic. Data mining inventory system applications can facilitate the control of inventory in the company to reduce production costs.
Latent Semantic Indexing for Indonesian Text Similarity
Authors: Rahim Robbi , Kurniasih Nuning , Dedi Irawan Muhammad , Handika Siregar Yustria , Hasibuan Abdurrozzaq , Ayu Puspito Sari Deffi , Simanihuruk Tiarma , Utami Sutiksno Dian , Mouw Erland , Sudin Idris , Daengs GS Achmad
Published: May 2018

Document is a written letter that can be used as evidence of information. Plagiarism is a deliberate or unintentional act of obtaining or attempting to obtain credit or value for a scientific work, citing some or all of the scientific work of another party acknowledged as a scientific work without stating the source properly and adequately. Latent Semantic Indexing method serves to find text that has the same text against from a document. The algorithm used is TF/IDF Algorithm that is the result of multiplication of TF value with IDF for a term in document while Vector Space Model (VSM) is method to see the level of closeness or similarity of word by way of weighting term.
E-Monitoring in The Vocational Process-Based Assessment
Authors: Rahmat Setiadi Bayu , Setuju S , Ratnawati Dianna , Suparmin S , Sugiyono S , Widatmoko Ardi
Published: May 2018

Assessment is an important part of vocational learning evaluations to be done carefully, thoroughly and profoundly to obtain objective assessment criteria. If the assessment of professional practice is not done objectively, it can provide students' bias and sense of injustice. This study provides an e-monitoring offer and compares e-monitoring with personal computers and Android mobile in process-based assessment. The study used ten vocational instructors with 31 subjects tested. Assessment criteria refer to the ten assessment standards are valid, objective, fair, integrated, open, systematic, relating to the requirements, accountable, and educative. The results showed that active e-monitoring was applied after post-condition on the first, second and third day
Kampung Pulo Environmental Planning Observed from Biophysical Aspects as Adaptation of Flood in Jakarta
Authors: Ayu Puspito Sari Deffi , Sugiana Astrid , Yuri Ramadhonah Ristianti , Innaqa Suci , Rahim Robbi
Published: May 2018

Urbanization triggers an increase in urban land conversion. Along with the increasing population and the increasing needs of the shelter, people tend to use the remaining space such as riverbanks and river bodies which are not intended for residential buildings. This has a negative impact on the environmental and river ecosystems, as well as causing the changes in the function of rivers in urban areas, one of it is Ciliwung River which runs through Kampung Pulo. The government seeks to deal with the environmental damage on the riverbank through a revitalization program. This research was conducted to find out the impact of revitalization process by observing biophysical condition of river before and after eviction of people that live in the Ciliwung riverbank and provide a landscape plan of Kampung Pulo segment. Using secondary data of rainfall, land use, land cover and flooded area. The mapping with ArcGIS 10.1 shows there decrease in the area of flood puddle in Kampung Pulo.
Expert System for Disease Risk Based on Lifestyle with Fuzzy Mamdani
Authors: Mesran M , Syahrizal Muhammad , Suginam S , Kurniasih Nuning , Daengs GS Achmad , Saleh Ahmar Ansari , Rahim Robbi
Published: May 2018

The importance of health for everyone to be able to empower everything that is owned and the environment maximally, health is closely related to healthy living. So that can be described the meaning of healthy life is to have health in life with no problems of disruption in life both physical in the form of disease in the body and non-physical that is related to the condition of the soul, heart and mind of a person in life both individually and socially. The use of expert systems with the search model with the Fuzzy Mamdani method can help to know the condition of the disease that may be suffered by each individual based on the pattern of life that he did.
Combination Vigenere Cipher and One Time Pad for Data Security
Authors: Rahim Robbi , Kurniasih Nuning , Mustamam M , Andriany Liesna , Nasution Usman , Hi. Muhammad Amiruddin , Freedom Nanuru Ricardo , Daengs GS Achmad , Saleh Ahmar Ansari
Published: May 2018

Data security can be done with many techniques such as steganography and cryptography, the use of cryptographic algorithms such as Vigenere Cipher and One Time Pad to secure the data is expected to make the data difficult to be known by irresponsible parties, the test obtained results that the ciphertext results of different combinations and strong enough because the key used must match the length of the plaintext.