bluuebunny/crossref_metadata_2025 huggingface dataset:
An Analysis for Repowering Prediction of Jamgodarani Wind Farm Using MATLAB
Authors: Verma Manoj , Ahmed Siraj
Published: April 2019

The development of megawatt class turbines has led to the improvement of wind turbine technology and design. Re-powering in wind energy is a concept to replace and reduce the number of installed old wind turbines of lower capacity by modern turbines of higher capacity. It intends to generate the highest possible constant output power under all wind speed conditions. This research paper portrays economic viewpoints of the repowering procedure for different wind farms. The availability of wind energy in many regions of India encouraged a developing interest in the field of renewable energy and as a consequence this procedure was generated. Before 1998 all the equipments used in relevant research sites were outdated and low powered. But now modern wind turbines with higher efficiency are available to generate more power using considerably reduced infrastructure. This research work proves that repowering is a productive attempt for such old wind farms by using MATLAB (Matrix Laboratory) programming. Wind energy technology is favored due to the benefits of environment friendliness, relativity less installation time and economic competitiveness. A detailed study of necessary performance indices to determine the reliability and performance of a particular wind farm for repowering is done in this research work. An old wind farm located at Jamgodrani Hills, which is in a central part of India, is selected to study the implementation of repowering.   This wind farm was commissioned in 1990 with a capacity of approximately 13.05 MW consisting of 58 wind turbines of 225 kW capacity each.
Tripled Fixed Point Theorems of Caristi type Contraction in Partially Ordered Metric Space
Authors: Adilakshmi G , N.V.Kishore G , Veerraju N
Published: April 2019

The main aim of this paper is to obtain a unique common tripled fixed point theorem in partial ordered metric space using Caristi type contraction.
Fixed Point Theorems Under New Caristi Type Contraction in Bipolar Metric Space with Applications
Authors: Srinuvasa Rao B , N.V.Kishore G , Ramalingeswara Rao S
Published: April 2019

In this paper, the existence of fixed-point results in a complete bipolar metric spaces under new caristi type contraction is well established. Some attention gaining consequences are attained through our results. Finally, it presented an illustration which present applicability of the obtained results.
Controllability, Observability and Stability of Volterra Type Non-Linear Matrix Integro-Dynamic System on Time Scales
Authors: V. Ramana G , V. S. R. Deekshitulu G
Published: April 2019

This paper investigates the controllability, observability and stability of the solution of Volterra type non linear matrix integro dynamic system on time scales.
Generalized Iterated Function Systems Containing Functions of Integral Type
Authors: S Minirani , . .
Published: April 2019

A finite collection of mappings which are contractions on a complete metric space constitutes an iterated function system. In this paper we study the generalized iterated function system which contain generalized contractions of integral type from the product space . We prove the existence and uniqueness of the fixed point of such an iterated function system which is also known as its attractor.
Analysis of Means (ANOM) based on the Size Biased Lomax Distribution
Authors: Subba Rao R , Naga Durgamamba A , Prasad G , R.L. Kantam R
Published: April 2019

A life time random variable which assumes a size biased Lomax model is considered as a measurable quality characteristic. In this paper,Decision lines are estimated using Analysis of Means (ANOM) technique for size biased Lomax distribution. Results are discussed through examples based on real data. Also, the results are compared with that of Shewart control charts.
Time Control Chart for Two Inverted Models
Authors: Subba Rao R , Pushpa Latha M , R.L. Kantam R
Published: April 2019

Control charts are one of the powerful techniques of Statistical Process Control. Control charts are widely accepted and applied in industry which can be used to improve productivity, prevent defects and unnecessary process adjustment. Moreover, they also provide information in diagnosis and process capability. Life time data generally contain the failure times of sample products or inter failure times or number of failures experienced in a given time.  The time to failure of a product is to be considered as a quality characteristic to assess the quality of the product.  Control limits are evaluated for the time to failure.  In this paper the time to failure of a product is considered to follow Inverse Rayleigh and Inverse Half Logistic distributions.  Life time data are compared with the control limits to judge the quality performance of the product.
Completely Prime and Prime Fuzzy T𝚪-Ideals in TΓ-Semi rings
Authors: Revathi K , Madhusudhana Rao D , Sundarayya P , Satish T
Published: April 2019

C-prime fuzzy TΓ-ideals and prime fuzzy TΓ-ideals are studied, then proved some theorem and characterized the C-prime and prime fuzzy TΓ-ideals in TΓ-semirings.
Studies on Environmental Geology and Health Hazards with Reference to Fluoride Rich Groundwater of Nalgonda District,Telangana State, India - a Remote Sensing and G.I.S. Approach.
Authors: M.Ganesh K , Jagannadha Rao M , Jai Sankar G , Raghu Ram P
Published: April 2019

In the  area of study  the quality and quantity of groundwater are below the normal standards.  In this study spatial statistical methods have been used to demarcate highly polluted zones. Especially fluoride concentrated areas in Nalgonda district.  Water quality, especially excess of fluoride concentration in groundwater, is a major concern in the study area.  Levels of fluoride  in groundwater are considerably greater than the permissible limit especially in Nalgonda district which is known for endemic fluorosis, which is caused by intake of high fluoride water is a slow, progressively, crippling malady affecting young and old, poor and rich, rural and urban population.  The area under investigation lies in between the longitude 790 0'-79o 30' E and latitude 16o 45'-17o 15' N.   In as many as 1122 habitations in Ranga Reddy and Nalgonda districts, fluorosis is prevalent and they have fluoride content in excess of 1.5 mg/l drinking water.  One such area where fluoride contamination in groundwater has been known for several years in parts of Nalgonda district of Telangana state.  In this district, several thousands of people in various villages are suffering with advanced fluorosis.  A number of studies carried out earlier established the extent of fluoride contamination in different villages.  However, no attempt was made to study the spatial distribution of various quality parameters including fluoride in the groundwater of this area.  With this background this investigation is planned and undertaken.  The spatial variability of groundwater G.I.S techniques were presented. The fluoride variation with reference to other quality parameters was brought out.  An attempt is being made to summarise and understand the factors that control the groundwater quality variation in the area of study.   A detailed study on fluoride occurrence is taken up, mainly to see its relationship with various other parameters and the influence of hydrogeology and lineament pattern on fluoride occurrence.
Experimental Study on Building Demolished Waste Stabilized Expansive Soil with Potassium Chloride
Authors: M. Ganesh K , S.S.Vara Prasad A , Jagapathi Raju M
Published: April 2019

All the civil engineering  projects such as highways, water reservoirs, railways, buildings etc. requires large quantity of earth material. The mankind was wondering about the instability of earth materials especially expansive soil for centuries. Large areas are being covered with highly plastic and expansive soil quite often which is not suitable for such purpose. They can be hard when dry and they can be soft in moist conditions. Soils subjected to volumetric changes with seasonal moisture variation always create problem for lightly loaded structure by consolidating under load. It results in excessive settlement of superstructures usually and differential movements causing damage to foundation systems, structural elements and architectural features. Promising results were obtained by various researchers for the application of such expansive soil after stabilization with additives such as sand, silt, lime, fly ash, etc. A relatively new solid waste, Building Demolished Waste (BDW), can be used for stabilization of expansive soils for various uses in combination with potassium chloride. This study was planned to access the role of potassium chloride inclusions in improving the weak expansive soil besides stabilizing it with Building Demolished Waste in different proportions.
Power Measurement by Calorimetric Method Using Water Infrequency Range Between 1.7 Mhz To 3 Mhz
Authors: Shokrollahi F , K. Lau K , H. Tay W , S. Lai L
Published: April 2019

Absorption is one of the most established processes for CO2 capturing. However, the current technologies used in this process suffer from several drawbacks. Meanwhile, the ultrasound technique is proposed as a new alternative technology to assist the CO2 absorption process due to both its physical and chemical effects. Yet, the chemical effect is still under developments. Between all the influencing parameters, the ultrasonic power and the frequency are the vital key parameters to investigate sonochemical effects during the CO2    absorption process. The aim of this paper is to measure the ultrasonic power of an ultrasonic vessel. The total electrical power measured by using the voltage and the flow. Simultaneously, the ultrasonic power determined by using the calorimetric method. The measurements were done by using water with different volumes and repeated for three different frequencies. The results showed that almost 51% of the electrical power converted into the ultrasonic power and were independent of liquid volume.
Office Interior: The Influence of Office Environmental Factors towards Task Performance
Authors: Hanim Awang Arita , Denan Zuraini , Hanita Abdul Majid Noor
Published: April 2019

Office environment has become crucial in providing comfort for the workers and in maintaining the sustainability of an office.  Office environmental comfort is significant to office workers life as the office has become their second home. Almost half of the five working days were spend in the office.  Air conditioning and lighting are among the most significant contributors to high energy consumption in office building in Malaysia. In promoting an energy efficient building, consumption of electrical lighting and air condition in office from morning till evening requires an investigation. The aim of the research is to explore the environmental condition of office which occupied by design related field employees. The environmental air condition and lighting preference are among the significant variables tested.  A controlled experiment of a mock-up office with combination of those variables was conducted. The findings indicate that the office workers can still perform their task in extreme conditions which are low level of lighting below 200 lux with highest or lowest temperature between 16 to 32 Degree Celsius, however, the percentage of completion (POC) of the AutoCAD drafting task relatively decreasing. This scenarios show that the designers’ office environmental conditions have significant impact towards task performance. The optimum office environmental setting is needed in order to increase employee’s task performance.
Right Ventricle Segmentation from Heart using Active Contour Model without Edge and Split Plane Decision
Authors: Chul Kang Ho , . .
Published: April 2019

In this paper, we propose an automatic segmentation method of right ventricle from computed tomography angiography (CTA) using Chan-Vese model and split plane detection. First, we remove noise in the images by applying anisotropic diffusion filter and extract the whole heart using Otsu Thresholding. Second, the volume of interest (VOI) is detected by Chan-Vese model and morpholotical operation. Third, we divide the heart to left and right region using power watershed. Finally we detect split plane which divide right heart to right ventricle and atrium. We tested our method in ten CT images and they were obtained from a different patient. For the evaluation of the computational performance of the proposed method, we measured the total processing time. The average of total processing time, from first step to third step, was 13.92±1.28 s. We expect for our method to be used in cardiac diagnosis for cardiologist.
The Performance Comparison of the Classifiers According to Binary Bow, Count Bow and Tf-Idf Feature Vectors for Malware Detection
Authors: Man Kwon Young , Hee Jun So , Mo Gal Won , Jae Lim Myung
Published: April 2019

In this paper, we compared the performance of the classifiers according to feature vectors with Binary BOW, Count BOW and TF-IDF for malware detection. We used the feature of Opcode that extracted from PE file. For performance comparison, we measured the AUC score for the classifiers those are DT, KNN, MLP, MNB and SVM. As a result, we recommend neural network (MLP) and instance-based model (KNN) because they show the high AUC score and accuracy regardless of the unbalanced dataset and the feature vector. If you use classical classifiers, we recommend DT because it guarantees high AUC score and accuracy regardless of the same condition as the above. If you use SVM, you have to do Robust scaling to resolved outlier and unbalanced dataset. If you use MNB, you need to use N-gram technique to improve AUC score.
A Study on the Performance of Feature Extraction Methods According to the Size of N-Gram
Authors: Man Kwon Young , Gu Son Min , Keun Chung Dong , Jae Lim Myung
Published: April 2019

In this paper, we studied the performance of feature extraction methods according to the size of N-gram for malware detection. The feature is extracted by three methods, using Opcode Only, both Opcode and API and API Only from PE file. We measure the performance of them indirectly with measuring the AUC score and accuracy of classifier. We did experiments with the different N size by using several classifiers such as DT, SVM, KNN and BNB classifiers. As a result, we got the conclusion as followings. If we use N-gram technique, we recommend Opcode Only method through our experiments. Also, the instance-based classifier KNN and DT among the model based classifier have good performance than SVM and BNB.
Development of a C Language Education Instructor Training Course Using Animated Characters
Authors: Lim Dongkyun , Eun Lee Ji , Um Gijun , Moon Dosik
Published: April 2019

The purpose of this study is to develop online lecture contents that can effectively teach C language to 5th, 6th grade or middle school students. Unlike existing cyber lectures, the proposed contents were created by using animated characters to help beginner level students learn C language through interesting storytelling, role playing games, and card games. This C language education contents were devel-oped for teachers to effectively educate elementary and middle school students who are presumed to have no prior knowledge of C lan-guage. The proposed contents motivate young learners to learn the introductory concepts of C language through the animated characters based on storytelling, more than using mere focus on rote memorization.
Senior Living Space Architecture Design based on Iot Devices Using Vital Sensors
Authors: Jae Lim Myung , Yeon Park Soh , Man Kwon Young , Kun Chung Dong , . .
Published: April 2019

This paper seeks to propose a senior living lab prototype based on the Internet of Things (IoT). Currently, IoT research is actively being conducted in various fields, and the field of IoT healthcare for elderly people is being highlighted with a rapid growth of ageing population. In this paper, a living lab platform was designed to recognize the movements of elderly people in real time and measure the quantity of motion by using Arduino's ultrasonic sensors and to help maintain a comfortable environment by using temperature & humidity sensors, which complemented the shortcomings of living lab based on the IoT healthcare.
Hop-based Exclusive Neighborhood Caching Scheme for Content Centric IMANET
Authors: Kim Backhyun , Kim Iksoo , Woo Yoseop
Published: April 2019

MANETs have a relatively low transmission bandwidth and energy capacity, which is very different from a wired network. Frequent change of the transmission path due to movement of the node may cause problems such as service delay or disconnection in providing multimedia contents requiring transmission for a long time. A caching scheme that stores and uses the content being transmitted for future requests is an efficient technique in terms of use of transmission bandwidth and node energy. In this paper, caching is performed by selecting nodes that are not located within the transmission range of each other based on the hop distance among the nodes adjacent to the transmission path in the routing process. This can drastically reduce the number of neighboring nodes performing caching and decline the load on the node due to the low probability of being selected as a cache. Simulations were performed in terms of cache hit ratio, transmission channel reduction rate, and the number of caching nodes for various service request rates. From the simulation results, we can confirm that the proposed scheme adds a small number of caching nodes but substantially improves performance.
Prediction of by-Products from Wet Air Oxidation Module for Sludge Treatment of Produced Water
Authors: Bi Cho Eun , Hyung Kang Choon , Ju Hwang In
Published: April 2019

This study presents and verifies the deep-well wet air oxidation (WAO) reaction model for treating organic sludge (among the various by-products discharged from produced water treatment facilities) for recycling, and predicts the reaction characteristics. The deep-well WAO reaction model is established theoretically and a simulation model is developed. The validity of the simulation model is examined by comparing the modeled pressure change inside the reactor with that given by a model developed in a previous study. In terms of the pressure profile inside the reactor, the developed simulation model shows a 2.3% difference from the previously proposed model. It is confirmed that the increase in reaction pressure and residence time inside the deep-well WAO reactor improves organic decomposition by increasing the oxygen mass transfer rate in water containing such organics.
Numerical Study on Noise Reduction of Gas Extinguishing Nozzle Using Adsorbent
Authors: Sun Kim Hak , Hwan Kim Yo , Ju Hwang In , Jea Kim Youn
Published: April 2019

Currently, gas-based firefighting systems tend to release fire extinguishing agent at pressures of around 100 bar or more for quick firefighting. The flow noise produced by the agent discharge is approximately 140 dB, which is similar to fireworks. This powerful sound pressure level (SPL) results in equipment failure during the fire suppression process, accelerating the movement studies to reduce flow noise. Most previous studies have selected design parameters such as packing density, porosity, and absorbent arrays, but these factors alone do not address noise reduction issues. The methods used in this study constitute the thickness of the absorber in the nozzle. The sound absorber plays an important role in absorbing sound pressure by flow noise depending on its shape. In this study, numerical analysis was performed using ANSYS CFX ver. 18.1 to investigate the characteristics of flow noise and sound absorption. The thickness of the absorber shall be reduced or increased by 1 mm in relation to 86 mm. In particular, if the absorber diameter increases by 2 mm in the newly designed model, SPL is shown at 121.55 dB, down 9.3 % from the reference model.
The Study on the Risk Response of Security Cyber Physical System (Focusing on Analysis of Security Access Log and Unstructured Data)
Authors: KANG JangMook , Hee YOON Cheol , Hyeong KWON Tae
Published: April 2019

Malicious hacking is evolving continuously malicious code attacks. It needs flexible solutions such as the prevention leakage of personal information, demanding the ability of institutions to prevent high level of infringement. But, typical simple's security control system is limited by responding only to the tertiary industry equipment in the ICT field. A CPS type security system is capable of responding to the transition from ICT to AI which is should be applied. This is time of reorganization from the current security domain to the artificial intelligent ICBM device, it should apply the digital twin model which we are considering the people and environment of CPS type system. In this paper, we have studied a model of how cyber - physical systems can be implemented using existing security system platform technology. We also propose a new security technology applying model through analyzing log form of security equipment that has occurred for many years.
A novel property graph model for knowledge representation on the Web
Authors: Moon Heekyung , Zhao Zhanfang , Choi Jintak , Han Sungkook
Published: April 2019

Graphs provide an effective way to represent information and knowledge of real world domains. Resource Description Framework (RDF) model and Labeled Property Graphs (LPG) model are dominant graph data models widely used in Linked Open Data (LOD) and NoSQL databases. Although these graph models have plentiful data modeling capabilities, they reveal some drawbacks to model the complicated structures. This paper proposes a new property graph model called a universal property graph (UPG) that can embrace the capability of both RDF and LPG. This paper explores the core features of UPG and their functions.
A study on the estimation and prediction of volatility on financial assets
Authors: An Chang-Ho , . .
Published: April 2019

Volatility in financial markets due to changes in the internal and external financial market environment causes economic entities to increase uncertainty of economic activity, thus affecting the real economy. The volatility of stock index, interest rate, and exchange rate has a negative impact on the business performance of companies and financial institutions due to decline in the value of stocks, bonds, and derivatives held for short-term trading purposes. In this study, therefore, the KRW/USD exchange rate and the KOSDAQ index data from January 2005 to December 2017 were converted to log yield data for volatility estimation. Autocorrelation test of the error terms confirmed the partial autocorrelation function, and a Portmanteau Q-test was performed. Significant parameters were estimated by the stepwise autoregressive method. The Lagrange Multiplier test (L-M test) was used for the ARCH effect and the order of the model, and parameters were estimated by the Maximum Likelihood Method. Fit of the estimated model was found to follow the white noise according to the Portmanteau Q-test using standardized residuals. As the result, AR(1,2,3,13)-ARCH(1) model was selected as the volatility estimation model for  KRW/USD exchange rate, and AR(1)-ARCH(1) model for KOSDAQ index.
Flow analysis using RDDA method with actual usage in water distribution network
Authors: Lee Hyundong , Choi Si-Hwan
Published: April 2019

In the analysis of the water pipeline network, the amount of demand applied is assumed based on the valve being open 24 hours, unlike cases where water is supplied when the valve is opened and blocked when it is closed. As a result, existing analysis results and actual survey data show a lot of differences in hydraulic pressure and flow rate. Also, problems such as faulty outflow, lack of pumping capacity, low reservoir height, and failure to operate decompression facilities have been confirmed. In this paper, a real demand driven analysis method is proposed to solve these problems. First, a virtual flow control facility, a virtual low water column, and a virtual node are applied to the analytical model. In the next step, as the existing demand amount is used at the virtual node, if the water in the reservoir is below a certain level water is supplied from the flow control facility and the flow is shut off when the water level exceeds a certain level. This is a method to analyze the water pipeline network by supplying the usage amount.
Building the knowledge base for non-combinable codes according to the Korean Standard Classification of Diseases
Authors: Kim Mijung , . .
Published: April 2019

The purpose of this study is to develop a knowledge base for non-combinable combinatorial codes to improve the accuracy of disease classification. We defined the rules related to non-combinable codes according to the list of code pairs proposed by the HIRA and the KCD-7 classification rules. A knowledge base was created according to defined rules and verified. To validate the knowledge base, inpatients who were billed for diabetes mellitus in December 2016 were selected as the subject of the study. As a result, the number of combinatorial codes proposed by the HIRA was 1,195, but the number of code pairs generated in the knowledge base was 25,439. Non-combinable codes by confirming with an indication of the HIRA have discovered 1,391 cases. As a result of verification with the code pair of the proposed knowledge base, 100 combinations were found. Non-combinable codes by confirming with an indication of the HIRA have discovered 1,391 cases. As a result of verification with the code pair of the proposed knowledge base, 3,525 combinations were found. It is meaningful that a convenient authoring tool that can automatically catch combinatorial codes was developed to build a knowledge base.
Quality Improvement through Mechanization of Tail Gate Weather Strip Assembly Process
Authors: Suresh R , Palani R , Rajamanickam S , Arumugam K , Sathiyamoorthy V , Logeshwaran D
Published: April 2019

The Assembly plant #1 at Hyundai Motors India Limited consists of assembly line A1, A2 and A3. In these, assembly line A1 and A2 are semi-automatic in manner where at some stations manual assembly is involved. Cycle time should be considered a viable option when an organization is trying to improve efficiency and productivity and hence this paper deals with the reduction of fatigueness as well as cycle time in station #190 of ASY#1 where tailgate weather-strip is fixed manually. The Journal undertaken was to design work assist system (standalone device) which is used to position tailgate weather strip for GS Model (Hyundai Creta). For this many activities were done and analyzed the problem and designed the work assistor seeing through all the constraints. Thus the entire machine assembly will be done to minimize the operator fatigue, to improve quality and also the chances of disorientation are reduced by elimination of manual hand operation. Fatigue reduction was shown by calculating the difference of frictional force between hand and the standalone device and the frictional force was reduced by 4.91N.The shower results bettered with less rejection by using the operator-friendly work assist system.
A Review of Mobile Oil Skimmer
Authors: V Sathiyamoorthy , K Arumugam , Pragathish M Arun , B.N Barath , M Baskar , S Balamurugan
Published: April 2019

This project work is implemented based on the public issue which has overcome by our people on January 2017 at Ennore Chennai, Tamilnadu, India. The oil skimmer is used to separate oil, from mixtures of aqua and oil. It causes highly acidic alkaline and salty environment remains a great challenge to aquatic organisms and also pollutes the coastal areas. Every year 706 million gallons of waste oil enters the water resources and pollute the environment. Sea water has been polluted due to oil spillage; it also affects the water bodies. If the oil spill increases it results in serious damage to environment. About 90% of contaminated oil can be removed by continuous separation of oil by skimmer belt. This set-up uses polyurethane belt, bearing, supporting L-angle frame, EN 19 Rod & Scraper. This work implemented to improve the separation efficiency of the skimmer belt at manual speeds.
Implementation of Optical Character Recognition Using Raspberry Pi for Visually Challenged Person
Authors: Thiyagarajan S , G.Saravana Kumar Dr , Praveen Kumar E , Sakana G
Published: April 2019

Blind people are unable to perform visual tasks. The majority of published printed works does not include Braille or audio versions, and digital versions are still a minority. In this project, the technology of optical character recognition (OCR) enables the recognition of texts from image data. The system is constituted by the raspberry pi, HD camera and Bluetooth headset. This technology has been widely used in scanned or photographed documents, converting them into electronic copies. The technology of speech synthesis (TTS) enables a text in digital format to be synthesized into human voice and played through an audio system. The objective of the TTS is the automatic conversion of sentences, without restrictions, into spoken discourse in a natural language, resembling the spoken form of the same text, by a native speaker of the language.
Priority based Proactive Buffer Management for Aggregated Streaming in Heterogeneous Wireless Networks
Authors: Duraimurugan S , Jesu Jayarin P
Published: April 2019

Now a days, most of the data is transmitted between two devices using Wireless network. Although this has made it easier to transmit data, it also has its disadvantages. One of its disadvantage being the irregular data transfer due to the presence of congestion in the intermediate nodes. This paper proposes an idea to overcome the said disadvantage by developing a priority based proactive buffer management for the wireless network through the use of buffer which will be maintained at the source. The buffer is used to regulate the transmission rate of the data packets in accordance with the congestion level which is present in the transmission path. For faster transmission, the data packets having high priority are transmitted while the data packets having lower priority are dropped thereby reducing the quantity of data packets being transmitted, hence overcoming the problem of congestion.
Relational Forecast Limiter Algorithm for ICD based EMRs
Authors: M Nithya. , T Sheela
Published: April 2019

Forecasting individual privacy based on acquired knowledge across associated or related diseases is often a concern during data publishing. EMR (Electronic Medical Record) of an individual have more than one associated diseases which are potential knowledge nodes for analyst to exploit privacy. RFL (Relational Forecast Limiter) algorithm aims in reducing the forecast or prediction level by introducing generalization, suppression and noise addition techniques based on relational forecast detection and relational forecast height of diseases classified in ICD (International Classification of Diseases) table. These techniques delimit the forecasting capability to bring privacy under control. Generalization and suppression techniques are applied on sensitive attributes while noise addition is applied on quasi identifiers. Generalization is realized at lower twig and branch level, while suppression and noise addition are realized at bough level. Primary objective of the algorithm focuses on sharing minimum privacy data enabling the data analyst to extract maximum useful information. Accuracy is retained to ensure data analysis yields useful information for social causes. Experimental results on privacy and accuracy loss demonstrates algorithm efficiency.
Medicine Box: Doctor’s Prescription Recognition Using Deep Machine Learning
Authors: E.Kamalanaban Dr , Gopinath M , Premkumar S
Published: April 2019

A Doctor’s prescription is a handwritten document written by doctors in the form of instructions that describes list of drugs for patients in time sickness, injuries and other disability problems. While we receiving a new prescription from doctor, it is unable to understand what drug name is prescribed on it. In most cases, however, we wouldn't be able to read it anyway because doctors use Latin abbreviations and medical terminologies on prescriptions that are not understandable by the general persons which make reading it very difficult. According to the National Academy of Sciences estimates that at least 1.5 million peoples are sickened, injured or killed each year by errors while reading prescription. This paper resolves the problems in doctor’s prescriptions through Medicine Box, and Smart phone application that uses Conventional Neural Network (CNN) to recognize handwritten medicine names and return readable digital text. This mobile application uses TensorFlow as the machine learning library, and Custom Repository to match the partial string with the drug name. With Medicine Box, cases of misinterpretation of medicine names can be decreased. This makes the ordinary persons to understand what doctor is prescribed in the prescription and also help for pharmacists.
Propagation Characteristics of Debris Flows Considering Entrainment Effect
Authors: Jeong Seokil , Lee Junseon , Geun Song Chang , Oh Lee Seung
Published: April 2019

Background/Objectives: Due to the extreme climate and the localized heavy rain, the frequency of debris flow has been increasing. Therefore, there is a growing expectation for accurate numerical analysis.Methods/Statistical analysis: We present a prediction method that can calculate the propagation length of the debris flow. This analysis indicates the relationship between the potential energy and the propagation length of the debris flow. To study the behavior of the debris flow accurately, the change in the momentum force must be considered; otherwise the calculation accuracy of the debris flow behavior is inevitably low.Findings: Entrainment is a common behavior in a debris flow that leads to changes in the momentum force. Here, we analyzed the change in the momentum force using a 2D simulation model that included entrainment. The results show how the debris flow behaves with changes in the momentum force. When entrainment is considered, the propagation length tends to be underestimated. With detailed information, the uncertainty in the prediction accuracy can be reduced.Improvements/Applications: If studies on the material properties of debris flow would be added, it will be possible to carry out various and accurate analysis of the debris flow
Characteristic Analysis of High-Speed Permanent Magnet Synchronous Motor
Authors: Kyoung Bang Tae , Hun Shin Kyung , In Lee Jeong , Han Cheol , Kook Cho Seong , Young Choi Jang
Published: April 2019

Background/Objectives: This paper presents characteristic analysis of High-SpeedPermanent Magnet Synchronous Machine (High-Speed PMSM) by using FEM (Finite Element Method) tools. The High-Speed PMSM need the protective tube with non-magnetic materials that protect the scattering of permanent magnet, it is necessary that analyzed about mechanical analysis.Methods/Statistical analysis: For preventing and improving, the fracture of the rotor of High-Speed PMSM, it is important that analyzed characteristic of mechanical stress, it should not be analyzed that occurred the fracture and decreased the performance, since the structure of rotor. However, structure analysis is usually performed by using FEM, which need the big amount of time consuming. Therefore, in this paper is derived the mechanical stress of rotor by using analytical method of stress.Findings: The results of the stress analysis are compared with the results of FEM analysis that validated the analytical method of stress analysis. Based on the results of the analysis, an analytical model was fabricated. Through the experiments, the presence of rotor breakage was examined and the performance was measured.Improvements/Applications: It can be applied to stress analysis and characterization of superhigh speed machine through the analysis methods presented in this paper.
Process Development for the Effective Extraction of Curcumin from Curcuma Longa L (Turmeric)
Authors: Muthukumar P Vinosh , M Vaishnavi , S Theepapriys , A Saravanaraj
Published: April 2019

Curcumin, the active, light sensitive agent, found in significant amounts in Curcuma longa L, is a potential therapeutic agent, possessing various pharmaceutical and industrial uses. The present extraction techniques, that are in application for many decades suffer from many economical and environmental demerits. This work is a prospective and noteworthy step towards conquering those disadvantages by means of optimizing the extraction process parameters and developing an energy efficient, environment friendly and economical process. In this study, various organic solvents were tested for their ability of curcumin extraction an concluded that acetone is most efficient. The process parameters like time, temperature and particle size were investigated and the minimum volume and concentration of solvent required were determined. Three potential pre-treatment process were analyzed for their capability to effectively distort the turmeric structure and aid in increasing the overall efficiency of the process. It was found that, employment of a mechanical distortion method by microwave assistance, and further followed by chemical disintegration, by means of enzymatic treatment, resulted in high attainable efficiency.
Advanced Toll Plaza Monitoring by Utilization of WSN Modules
Authors: Deepika R , A.Kalpana R , Meera S , Sharmikha Sree R
Published: April 2019

An innovative model that goals to design, develop and instrument by utilization of WSN modules for improved form of toll collection structure. In the proposed system when the user approaches to the payment lane, the Xbee wireless transceiver receives the signal that the automobile has arrived at the payment lane, then automatically the unique id of the passenger that is the Vehicle ID has been read via on-board unit, which will be attached to every motor vehicle and collects the day-to-day toll price for that particular route. The system is employed to every motor vehicles at the time of the registration of new vehicles or it can be attached in old vehicles. This system tends to cuts the time periods for paying the toll at faster rate rather than waiting in enormous queues. If the Vehicle crosses the toll without paying toll bill less than three times, the gasoline valve of the motor vehicle is locked using relay with the support of on-board unit.
Automated Prescription of Alcoholic Content to Dipsomaniac
Authors: C Saranya , Surya E , Priyaa K Karpaga
Published: April 2019

Alcohol addiction is an exponentially increasing dreadful disease. Alcoholic beverage is a drink that leads to greater risks of human health related problems. The consumption of alcohol is spring up as a serious issue. It makes a great difference on , both  “how much you drink on any day” and “how often you have a heavy drink," The risk of developing alcoholism is not caused by a single gene, but rather numerous genes that interact with one another. Need of this paper is to reduce alcohol consumption by controlling and monitoring. Here we uses Sensors which response to a human physical stimulus and transmit a developed impulse. The interpreted data from the sensor is analyzed and used for prescribing the amount of liquor to the dipsomaniac person. The digital statistics is remotely maintained in the cloud repository. Through this alcohol sales, addiction can be controlled and avoid illegal sales. The intention of this paper is to monitor the health condition of a person.
Application of Level Set Method for Shape and Topology Optimization in an Electromagnetic System
Authors: Sun Kim Young , Yoon Lee Dong
Published: April 2019

Level set methods(LSM) are conceptual methods for using level sets as tools for numerical analysis of surfaces and geometries. The advantage of the level set model is that you can perform numerical calculations involving curves and surfaces in a fixed grid without parameterizing these objects. In recent years, it has been applied to structural design optimization of mechanical engineering, and it has been actively studied as a new design technique overcoming the problems of existing shape sensitivity analysis method and phase optimization method. You can also use the level setting method to easily follow how the topology changes. In this study, we show the application of the level set method to the optimal design using sensitivity analysis. This paper presents applications of dielectric electrode design, moving objects and particle dynamics in magnetic field systems.
Comparative Analysis of Machine Learning Techniques to Identify Churn for Telecom Data
Authors: Malleswari M , Manira R.J , Kumar Praveen , . Murugan
Published: April 2019

Big data analytics has been the focus for large scale data processing. Machine learning and Big data has great future in prediction. Churn prediction is one of the sub domain of big data. Preventing customer attrition especially in telecom is the advantage of churn prediction.  Churn prediction is a day-to-day affair involving millions. So a solution to prevent customer attrition can save a lot. This paper propose to do comparison of three machine learning techniques Decision tree algorithm, Random Forest algorithm and Gradient Boosted tree algorithm using Apache Spark. Apache Spark is a data processing engine used in big data which provides in-memory processing so that the processing speed is higher. The analysis is made by extracting the features of the data set and training the model. Scala is a programming language that combines both object oriented and functional programming and so a powerful programming language. The analysis is implemented using Apache Spark and modelling is done using scala ML. The accuracy of Decision tree model came out as 86%, Random Forest model is 87% and Gradient Boosted tree is 85%.
Optimization of Zinc(II) Adsorption Using Agricultural Waste
Authors: Ravindran Gobinath , Radha Madhavi M , Suleman Abusahmin Bashir
Published: April 2019

With industrial growth, presence of pollutants is growing enormously. Removal of pollutant from waste water and effluents can be accomplished by various techniques, out of which adsorption was found to be an efficient method. Applications of adsorption limits itself due to high cost of adsorbent. In this regard, a low cost adsorbent produced from palm oil shell based agricultural waste is examined for its efficiency to remove Zn (II) from waste water and aqueous solution. The influence of independent process variables like pH, residence time, initial solution concentration, activated carbon dosage and process temperature on the removal of Zn(II) by palm shell based activated carbon from batch adsorption process are studied systematically. The results reveal that palm shell based activated carbon can be an effective adsorbent for removal of Zinc (II) and is efficient compared to other types of adsorbent produced from agricultural waste.
HVS Based Face Recognition Using Slant Transform
Authors: Veearaswamy K , Koteswara Rao M , Anithasheela K , Himabindu Ch
Published: April 2019

There are many person identification technologies like password, PIN, key, and token are used in many applications. Present, popular identification technology is face. In many applications the database is large. Hence, recognition with high speed is major challenge. This paper presents a recognition using HVS features in transform domain. Human visual system identifies perceptual important information in the images. Slant transform basis vector is sawtooth. It efficiently represents linear brightness variations along an image line. Hence, in this work HVS features in slant transform domain is explored for face recognition. Feature vector is based on HVS parameters. In this method image is decomposed into subblocks using Slant Transform. Important elements are identified using HVS weightage. Experiments are performed on bench mark face databases. Proposed method has better recognition performance than existing methods. Retrieval time is also less.
Prototype Survey of Path Planning and Obstacle Avoidance in UAV Systems
Authors: SARATH CHANDRA S , A. S. C. S. SASTRY Dr
Published: April 2019

In recent years, have seen rapidly growing interest with implementation and development of different type of networks of multiple unnamed aerial vehicles (UAV), as aerial sensor networks for inter co-operative monitoring, surveillance monitoring and rapid emergency response for communication. This is an emerging concept in real time communicative networks. Path detection, planning and obstacle avoidance is the aggressive representation for unnamed aerial vehicles in indoor environments. There are many techniques/approaches are introduced to evaluate above features for real time communicative environments. So in this paper, we discuss about those techniques implementation procedure and brief description regarding obstacle avoidance, multi-point interaction to track the location in wireless network communications. This paper analysis most successful path detection, planning and other reference based methods with successive description in real time scenario. Furthermore, a comprehensive with comparable result analysis of each path planning technique by considering their implementation in time complexity  and other parameters in real time communicative networks.
Heat Treatment and Analysis of Al- 7005 Alloys Reinforced with Sic Metal Composite
Authors: A Arun. , V.Sathiyamoorthy Dr , P Amirthalingam. , A Manikandan , K Manikandan , R Narendran
Published: April 2019

This paper deals with the 7005 aluminium alloy characterization which has similar physical properties to 6061 aluminium alloy, depending on the temper, may be slightly stronger. To increase their mechanical and physical properties silicon carbide had been introduced in it as reinforcement. Based on mass three different compositional were made and mixed thoroughly, and cast. Stir casting method is used for casting proportioned alloys. Heat treatment process is carried out after casting the alloy is mixed in the three proper compositions. Mechanical properties like hardness, Tensile strength and impact strength were conducted and analyzed. Properties can be altered in a better way using silicon carbide as an reinforcement in aluminium-7005.
Productivity Improvement and Cost Reduction in Hydraulic Cylinders
Authors: N Gayathri , N Karthick , V K Shanmuganathan , T R Adhithyan , Kumar T Madhan , J Gopalakrishnan
Published: April 2019

This paper is aimed to analyze the current status and processes carried out in production of hydraulic cylinders and to optimize the manufacturing methods to increase the production volumes and to reduce the cost of hydraulic cylinders. KAIZEN 10 step methodology is the tool used for improvement. Required data was retrieved from reports, daily logs and job sheets. Then it was analyzed to find bottlenecks in production lines and start working on solutions to improve productivity. Thus fluctuating customer requirements can be met and industries can sustain with competitor entries.
Brief Review and Mathematical Modelling of Air Cushioned Pressurized Paper Machine Headbox
Authors: Saini Parvesh , Kumar Rajesh
Published: April 2019

Today, the requirement of high grade papers is increasing day by day. To cater the need of high quality papers, new high-speed paper machines are being developed constantly. The whole economy of a pulp and paper industry depends on the quality of paper produced, quality of paper depends on the efficient operation of the major part of paper industry – paper machine. Paper machine is the heart of paper industry and has many subsystems. One of the important subsystem of paper machine is Headbox.   To have the desired quality papers, efficient working of headbox is highly required. To have desired operation from headbox, its precise control is necessary. The precise modelling of headbox, leads to design of efficient controllers for its proper control to get the desired response. This paper presents the mathematical modelling of headbox along with a brief review of various research performed on headbox.