bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of Technological Methods for Small Diameter Hole Perforation in Titanium Alloys
Authors: V. Grachev Mikhail , . .
Published: November 2018

There is a huge number of methods for hole obtaining. In view of the fact that an increasing number of parts demand an increased accuracy and roughness in the obtained holes, especially concerning thin sheet parts, there is the need of research in this field. The main goal of the work is to establish the most optimal method for small-diameter hole obtaining in titanium alloys. The sheet of titanium alloy OT4-1 is studied with the thickness of 0.5 mm. At the same time, rigid tolerances are established both for the holes themselves and for their location. Drilling, laser treatment and electroerosion ("super drilling") were chosen as the drilling methods. Other methods were not considered due to the possibility of aperture rupture between holes and other profile distortions for the part and the holes. The most optimal modes of hole obtaining were selected. The productivity, the quality and the accuracy of the holes were evaluated. They studied in detail the technologies for the obtaining of holes with the purpose of processing mode setting. The main recommendations were presented for an optimal method selection concerning the obtaining of small diameter holes in thin-sheet titanium alloys.
Knowledge Management in Human Capital Development in the Context of the Digital Economy
Authors: N. Trenev Vasiliy , . .
Published: November 2018

Modern market economy is marked by a high level of competition. Therefore, organizations have to dig for new development options to expand their economic potential and augment capital. Human capital – a stock of individual human capitals, as we define – can be one of such options. This article is a written discussion over mechanisms of transforming insider information into knowledge and intellectual capital. At this point, particular attention is paid to human capital development through the knowledge management problems, including factors that inhibit the effective use of human capital. This article also puts under discussion some of the requirements for the knowledge management system and its basic tasks.The Results section provides recommendations on gaining skills, knowledge and experience inside the organization. The action system of knowledge management is described.
The Assessment of Time Series for an Entire Air Quality Control District in Southern Taiwan Using GARCH Model
Authors: Lung Kuo Shu , Lin Ho Ching
Published: November 2018

The General Autoregressive Conditional Heteroskedastic (GARCH) model and 10 ordinary air quality monitoring stations in the entire air quality control district in Kaohsiung-Pingtung were used in this study. First, the factor analysis results within multivariate statistics were employed to select the main factor that affects air pollution, namely, the photochemical pollution factor. The characteristics of the GARCH model were discussed in terms of asymmetric volatility among the three air pollutants (PM10, NO2, and O3) within the factor. In addition, this study also combined the multiple time series model VARMA to explore changes in the time series of the three air pollutants and to discuss their predictability.The results showed that, although the coefficient of the GARCH model was negative when estimating the variance equation, the conditional variance would always be positive after taking the logarithm. The results also suggested that the GARCH model was quite capable of capturing the asymmetric volatility. In other words, if the condition that pollution factors might be subject to seasonal changes or outliers generated by the human contamination is not considered, the GARCH model had very good ability to verify the results and make predictions, regardless of whether it adopted any of the three risk concepts: normal distribution, t-distribution, and generalized error distribution. For example, under the trend of time series temporal and spatial distribution in various pollution concentrations of photochemical factors, the optimal model VARMA(2,0,0)-GARCH(1,1) selected in this study was used to conduct time series predictability after the verification procedure. After capturing the last 50 entries of data on O3 concentrations in the sequence, the results showed that the predictability correlation (r) was 0.812, the predictability of NO2 was 0.783 and the predictability of PM10 was 0.759. It can be learned from the results that under the sequence of the GARCH model with strong asymmetric volatility, the residual values of these three sequences as white noise were quite evident, and there was also a high degree of correlation in predictability.
The Influence of Temperature, the Pressure at Room Temperature, the Pressure at High Temperature on Structure and Heterogeneous Dynamics of Casio3 Bulk
Authors: Trong Dung Nguyen
Published: November 2018

This paper investigates the influence of temperature, the pressure at 300K, the pressure at 2000K on microstructure and heterogeneous dynamics of CaSiO3 bulk by molecular dynamics Born - Mayer, boundary condition. Samples analyzed by a radial distribution function, coordinate number, angle distribution, number of structural units, size, energy, heterogeneous dynamics showed the influence of factors on structure and heterogeneous dynamics of CaSiO3 bulk. In addition, at temperatures, the pressure at 300K and pressure at 2000K lead to Si-Si (Si2), Si-O (SiO), Si-Ca (SiCa), O-O (OO), O-Ca (OCa), Ca-Ca (Ca2), and CaOx, x = 3, 4, 5, 6, 7, 8, 9, 10, 11, 12; SiOy, y=4, 5, 6, significant changes
Forecasting of International Tourists Arrival in Saarc Region and Prospect of Bangladesh
Authors: Mosfiqur Rahman Md. , Anam Sayedul , Kumar Chakrabarty Anuz
Published: November 2018

The tourism is the dynamic and earning source of foreign currency in SAARC region. In regarding Bangladesh it is one of the prospective sectors that can contribute to our economy. In this paper, we forecast the international visitor’s arrival in SAARC countries and compare it with Bangladesh.  In addition, we have discussed the factors that influenced the visitors to visit this territory. The key factors are infrastructure, retail industries, diversification, marketing and media, quality control, affiliation benchmark, and security and safety (Y. Benchabane, 2014).  Assess the performance of Bangladesh in these key factors and comparing with other countries of SAARC region.
ALzughair Transform of Differentiation and Integration
Authors: Hassan Mohammed Ali , Abdul Hassan Atyiah Nada
Published: November 2018

With partial derivatives non-line differential equations by many از natural phenomena and because of this, they are difficult or non-existent to solve the analysis. There are no equations for complete solving this type of equation. The aim of this paper is to introduce Alzughair transform of differentiation and integration.
Ranking and Closest Element Algorithms on Centralized Diamond Architecture
Authors: Damrudi Masumeh , Jadidy Aval Kamal
Published: November 2018

Employing an appropriate algorithm, hardware and technique makes operations easier and faster in today digital world. Searching data which is a fundamental operation in computer science is an important problem in different Areas. An efficient algorithm is useful to search a data element in huge amount of data while information is growing in every second. There are various papers on searching algorithms to find data elements whereas different types of query in different areas of works including position, rank, count and closest element exists. Each of these queries may be useful in different computations. This paper proposed two algorithms of these four types of query employing Centralized Diamond architecture which consume constant execution time.
A Discrete Imperialist Competitive Algorithm for WSN Deployment
Authors: Jadidy Aval Kamal , Damrudi Masumeh
Published: November 2018

The WSN deployment problem is addressed in this paper. The problem applies to the monitored areas with different detection needs at different points. In this problem, every point of the terrain is assigned with a predefined minimum probability of event detection. The objective is providing the best position for the network nodes and at the same time assuring event detection, detection message delivery, and reducing deployment cost. We have formulated the problem as an optimization problem with three objectives, which is NP-complete. Because of the huge solution space for the problem and the exponential computational complexity, none of the exact methods known yet can solve the problem unless for a pretty small scaled case. To battle the complexity of the solution, a new scalable solution is proposed based on imperialist competitive algorithm namely imperialist competitive deployment algorithm (ICDA). We compare the proposal to the related deployment strategies, and the results show that ICDA outperforms them.
Groups, Algorithms and Programming (GAP) and the Nonabelian Tensor Square of Groups of Order 8q
Authors: Rashid S , . .
Published: November 2018

In this paper, the software package Groups, Algorithms and Programming (GAP)   is used to verify the hand calculation of  the nonabelian tensor square for groups of order 8q, where q is an odd prime.
Multilevel Encryption of Messages for Secured Communication
Authors: R. Krishnaja. , R. Parameswaran.
Published: November 2018

The security of information passed through the communication channel has become a major concern. Encoding of the messages before transmitting through the channel is most vital. We propose a three level encryption (encoding) using musical notes in traditional Indian and Western system as well as the American Standard Code for Information Interchange (ASCII). A unique method for the decryption is also mentioned in the paper.
IOT based Advanced Medicine Dispenser Integrated with an Interactive Web Application
Authors: Kishor Panda Nanda , Bhardwaj Shubham , Bharadwaj H. , Singhvi Rohil
Published: November 2018

Internet of Things (IOT) is a development of the internet which plays a  major role in integrating human-machine interaction by allowing everyday objects to send and receive data in a variety of applications. Using IOT in healthcare monitoring provides an avenue for doctors and patients to interact and to track the dosage of medication administered. The paper presents an interactive, user friendly network integrated with an automated medicine dispenser which uses IOT, cloud computing and machine learning. The network was built on a python tornado framework with a front end developed using materialise CSS. The feasibility of this approach was validated by building a prototype and conducting a survey.
Influence of Variable Viscosity on Peristaltic Motion of a Viscoelastic Fluid in a Tapered Microfluidic Vessel
Authors: Prakash J. , P.Siva E. , Govindarajan A. , Vidhya M.
Published: November 2018

The peristaltic flow of a viscoelastic fluid in the tapered microchannel with variable viscosity is investigated. This study is reinvigorated by discovering fluid dynamic in peristaltic motion as signified by biological flows, pharmacodynamics and gastro-intestinal motility enhancement. The microchannel non-uniform and asymmetry is developed by choosing a peristaltic wave train on the wall with different amplitudes and phases. The flow analysis has been arisen for low Reynolds number and long wavelength case. The solutions for stream function, axial velocity and pressure gradient are obtained. The effects of pertinent parameters on the average pressure rise per wavelength are investigated by means of numerical integration. The axial velocity and phenomena of trapping are further discussed.
Image Encryption Using Orthogonal Hill Cipher Algorithm
Authors: Madhusudhan Reddy K. , Itagi Anirudh , Dabas Saransh , Kamala Prakash Bonam
Published: November 2018

The Hill Cipher algorithm is a practical algorithm which requires only preliminary knowledge of matrices which makes it quite useful. But, for decrypting the encoded information the key matrix needs to have an inverse (The key matrix needs to be invertible) or else it is impossible to decrypt the given information. The main objective of our paper is to introduce an unorthodox and improved version of Hill Cipher which will make encryption and decryption of an image easier. This paper has diverged from the conventional method by using an orthogonal matrix (where the transpose of a matrix is equal to its inverse) as our key matrix. This method is faster and easier as finding the transpose of a matrix is much simpler than finding the inverse of a given matrix and hence, facilitating the process of faster execution. To further break down the process into an even simpler one, we have added a few more constraints. To show its application, we have used this method to encrypt images using MatLab.
Non-Linear Mathematical Modelling for Phase Locked Loop
Authors: R Prithiviraj , J Selvakumar
Published: November 2018

Design of Phase Locked Loop (PLL) plays a vital role in transceiver field. Phase Locked Loop comprises of three blocks, namely Phase and frequency detector, loop filter and voltage-controlled oscillator. The greater advancements in CMOS technology such as high frequency, high speed, low noise and phase error leads to low-cost PLL This work aims to develop higher order non-linear models of general Phase Locked Loop. The condition of stability and choice of loop filter is also determined. Based on the analysis, the transfer function for PLL is determined.
A Numerical Approach for 3 PRS Parallel Manipulator
Authors: Selvakumar A Arockia , . .
Published: November 2018

This paper presents a numerical approach on kinematic analysis of 3-DOF parallel manipulator (PM). The proposed mechanisms constitute of PRS (Prismatic-Revolute-Spherical) parallel mechanism with two rotations and one translation. The forward and inverse kinematic equations of the PM are derived by position vector method. A total of 48 solutions are obtained for the forward kinematic equations using MATLAB.
Effect of radius on various parameters of cylindrical surrounding double-gate (CSDG) MOSFET
Authors: E. Oyedeji Okikioluwa , M. Srivastava Viranjay
Published: November 2018

The MOSFET is an integral component of electronics device and scaling the device is continuously in progress. This research work intro-duces a novel structure of the Cylindrical Surrounding Double-Gate (CSDG) MOSFET to improve scaling and to suppress Short Channel Effect (SCE). In order to achieve this improvement, the drift-diffusion components are used to analyze the drain current of the device through the Pao-Sah integral. Then transconductance is derived to indicate an improved performance of the proposed design. The capaci-tance characteristics of this MOSFET is also analyzed through the equivalent capacitance model as well as the analysis of the carrier mobility, in which it has been observed that scaling of the device supports increase in mobility of the charge carrier.
Mobile Screening Framework of Anterior Segment Photographed Images
Authors: Syahira M Zamani N , Azyan Ramlan Laily , Mimi Diyana W Zaki W , Hussain Aini , Abdul Mutalib Haliza
Published: November 2018

This work presents a qualitative measurement of anterior segment photographed images (ASPIs) to identify between normal eyes and eyes with pterygium and pinguecula through Otsu multi-thresholding approach without contrast enhancement. In addition, we also propose a mobile screening framework of ASPIs through smartphones. ASPIs were directly sent to the cloud storage once an ASPI was captured using a smartphone camera, and then each image was processed through a digital image processing approach in a processing platform. Three important steps, namely, pre-processing, image segmentation and qualitative assessment, are involved in the processing platform of the mobile screening framework. The ASPIs are pre-processed to minimise or eliminate any unwanted areas within the image. Then, these ASPIs are segmented through multi-thresholding Otsu approach with clustering number n = 3. Segmentation result shows that the accuracy of the proposed method is 87.5%, which is comparable with the previously established work that has applied three-step differencing (3SD) method. However, the proposed approach has better computational time which is six times faster than the 3SD method. These results demonstrate a remarkable effort to produce a simple but straightforward digital image processing approach to be implemented in cloud computing for future studies.Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
An End-To-End Practical Plant Disease Diagnosis System for Wide-Angle Cucumber Images
Authors: H. Cap Q. , Suwa K. , Fujita E. , Kagiwada S. , Uga H. , Iyatomi H.
Published: November 2018

With the breakthrough of deep learning techniques, many leaf-based automated plant diagnosis methodologies have been proposed. To the best of our knowledge, most conventional methodologies only accept narrow range images, typically one or quite a limited number of targets are in their input. This is because the appearance of leaves is diverse and leaves usually heavily overlap each other in practical situations. In this paper, we propose a basic and practical end-to-end plant disease diagnosis system for wide-angle images. Our system is principally composed of two specially designed types of convolutional neural networks. The system achieves leaf detection performance of 73.9% in F1-score, overall (detection and diagnosis) performance of 68.1% in recall and 65.8% in precision at around 3 seconds/image on 500 wide-angle on-site images which have 6,860 healthy and 6,741 infected leaves (13,601 in total).Â Â
Optimised Combinatorial Control Strategy for Active Anti-Roll Bar System for Ground Vehicle
Authors: Zulkarnain N. , Zamzuri H. , A. Saruchi S. , Hussain A. , S. Mokri S. , Jedi A. , Razali N. , A. Mohd Nordin I.
Published: November 2018

The objective of this paper is to optimise the proposed control strategy for an active anti-roll bar system using non-dominated sorting genetic algorithm (NSGA-II) tuning method. By using an active anti-roll control strategy, the controller can adapt to current road conditions and manoeuvres unlike a passive anti-roll bar. The optimisation solution offers a rather noticeable improvement results compared to the manually-tuned method. From the application point of view, both tuning process can be used. However, using optimisation method gives a multiple choice of solutions and provides the optimal parameters compared to manual tuning method.Â Â
Lightweight Security for MQTT-SN
Authors: H. Amaran M. , S. Rohmad M. , H. Adnan L. , N. Mohamed N. , Hashim H.
Published: November 2018

This study discusses a method to secure Message Queuing Telemetry Transport-Sensor network (MQTT-SN). MQTT-SN is a popular data communication protocol used in developing IoT applications and can be secured by augmenting it with a security scheme. In this work, several lightweight encryption schemes to be used in tandem with MQTT-SN were tested and analysed. The best algorithm is identified based on the speed of encryption and overall power consumption when implemented in IoT environment. It was found that L-BLOCK is the overall performer in securing MQTT-SN and should be highly considered when developing IoT applications.Â
Innovations and recent trends in Shape Memory Alloy: a review
Authors: S. Kawate Saurabh. , K N Chethan. , G Keni Laxmikant , Pai Anand , N H Padmaraj
Published: November 2018

Smart materials are materials, which have a definite response to stimulus provided through a change in pressure, temperature and termed as shape memory alloys (SMA). In this review, the general concept of SMA’s has been discussed along with shape memory effects. Shape memory material properties depend on phase shifting phenomena, which consist of pseudoelasticity and thermoelasticity. The basic SMA such as Ni-Ti (Nickel-Titanium) alloys, Copper (Cu) based SMA, Iron (Fe) based SMA are commonly used in the industry, Ni-Ti alloys are expensive but it has good super elasticity and superior mechanical properties. Cu and Fe based are economical as compared to the Ni-Ti alloys. The various fabrication techniques and common composition of the alloys have been discussed with in detail.
Multi biometric Template Protection using Hybrid Technique
Authors: Karthi G , Ezhilarasan M
Published: November 2018

Recently, multi-biometrics system has been the important identification system for providing authentication mechanism. In this pa-per, the multi-biometric recognition system uses multiple traits (face, iris and fingerprint) for authentication. The features are extracted from the traits and feature level fusion technique is applied to the individual features traits to form a fused feature. Protection of these biometrics features against various attacks points is an important concern for authentication process. One such attack is the modification of stored template, which largely affects the performance of biometric recognition system. This paper addresses this concern, by apply-ing template protection algorithm to the biometric features. An improved hybrid template protection algorithm is proposed to protect the biometric template.The experimental results show that the proposed algorithm works better than the existing algorithms available. The proposed algorithm provides better protection to the template. Further, attacks are performed on the proposed system which provide strong resistant against the attacks.
Comparative Analysis of Thermohydraulic Properties of Nano-Refrigerants
Authors: Parkash Jai , Saini Sanjeev , Kohli Ankush , Singh Balkar
Published: November 2018

The nano-particles achieved the focus of the researchers in the field of refrigeration, due to its capability to change the properties of refrigerants upto a large extent. Nanofluids based on refrigerant is known as nano refrigerants and provided an improvement in thermophysical properties of various refrigerants in different terms. Different theoretical and experimental models are provided by the researchers have been used for the evaluation of different properties of refrigerant in terms of thermal conductivity, density, specific heat and viscosity of the refrigerants. In this effort, a number of models, and correlations have been used to result in the improvement in these properties of nano refrigerants. This is achieved by the addition of nanoparticles with varying volume concentration of 1% to 5 %. The analyses have been made within a temperature range of 190K- 269K at a constant pressure of 0.3 MPa. The study is elaborated to compare the various refrigerants which are R11, R12, R22, R134a and R141b with the addition of different nano-particles which are TiO2, Al2O3, ZnO and CuO at evaporator conditions. The addition of ZnO has given a good impact on the thermal conductivity of refrigerants. Effective viscosity of nano refrigerants depends upon the viscosity of refrigerants and volumetric concentration of nano-sized particles. Specific Heat shows the negative variation with the addition of nanoparticles but increased with the rise in temperature. The density of nano refrigerants depends upon the density of base refrigerant, Density of nanoparticles, volumetric concentration of nanoparticles. In future, the study can be elaborated in terms of compressor work, power consumption and overall performance of refrigeration system.
Multifactor Authentication for Hospital Inventory access in Virtual Private Cloud
Authors: Deep Gaurav , Kaur Paramroop , Mohana Rajni
Published: November 2018

In recent times, cloud computing has influenced every sector of life, from managing user database online on the cloud to access it on the cloud makes it more flexible to use. Cloud computing has its own security issues like privacy, integrity, confidentiality and authentication. In order to access data on the cloud Authentication majorly plays a very important role. This paper presents a secure multifactor authentication that can be used for Hospital Inventory access in Virtual Private Cloud. Virtual Private cloud is having the benefit of localization as all the data of cloud are accessible within the organization. To secure Hospital Inventory access in Virtual Private Cloud this paper proposes multifactor authentication technique using Biometric, MAC address via payload .The proposed a multifactor authentication protocol which is also validated by using a validation tool Scyther. The outcomes indicate that the proposed multifactor authentication is a robust technique.
Analysis of information security service for internet application
Authors: Shanker Ravi , Sahil Verma Dr. , Kavita Dr.
Published: November 2018

Background/Objectives: With the proliferation of online platforms, information is generated every second, and there is an urgent need to firstly store the huge amount of data and secondly to secure that data. The level of sophistication is increasing day by day, so alongside the demand for excessive computational power and resources also hikes up. With the advancements in technology and with the concepts like globalization coming into picture, people find the need of sharing information important. Methods/Statistical Analysis: Information security aspects are analyzed based on confidentiality, integrity, availability, authentication, authorization and non-Repudiation. Findings: Different web application needs different security parameter and out of these authentication and access control are among the top security issues which can be resolved by using two factor and three factor authentication and are more effective with respect to mobility. Application/Improvement: Most handheld devices have built-in sensors which can be used for self authentication and authorization. Device ID, fingerprint, iris, SMS based OTPs add extra security to information security.
Comparative phytotoxicity of Azolla pinnata and Lemna minor in Treated Palm Oil Mill Effluent
Authors: Binti Abd Kadir Azlin , Rozaimah Sheikh Abdullah Siti , Abu Hasan Hassimi
Published: November 2018

The phytotoxicity of Azolla pinnata and Lemna minor was assessed when exposed To Treated Palm Oil Mill Effluent (POME) for their survival and growth tolerance in a 5-day exposure conducted in an open laboratory at Universiti Kebangsaan Malaysia. A total of 34 100 mL-containers were used, with three replicates for each concentration, including plant less control and plant control. 50 mL of treated POME in different concentrations (100%, 75%, 50% and 25%) was filled in each container and exposed to 3 g Azolla pinnata or Lemna minor with observation conducted daily. After two days of exposure, 40% of A. pinnata died in 100% concentration and almost 100% died after 5 days of exposure for all concentrations. On L. minor, only 5% mortality was observed for 100% concentration on the fourth day and remained healthy until the end of five days. At the end of 5-day phytotoxicity exposure, the highest removals were 63.0%, 70.5%, 51.0%, 65.4% and 53.8% respectively for COD, BOD, Ammonia, Phosphate And Nitrates by A. pinnata, while the maximum removals recorded by L. minor were 61.0%, 54.0%, 9.8%, 61.4% and 31.6% respectively, giving evidence that A. pinnata is more effective in removing pollutants than L. minor although its survival in the treated POME is lesser than L. minor.
Design & Optimization of Gate-All-Around Tunnel FET for Low Power Applications
Authors: Dutta Umesh , K. Soni M , Pattanaik Manisha
Published: November 2018

This paper investigates the performance of tri material gate tunnel field effect transistor (TMGTFET) device designed in gate all around (GAA) configuration. The device performance is analyzed by varying various device related parameters like: drain doping, oxide thickness and radius of silicon core. Simulations are performed using technology computer-aided design (TCAD) tool at 60 nm gate length. Simulation results show that the performance of TMGTFET device can be optimized by proper selection of device parameters so as to achieve improvements in the ON current, OFF current, sub-threshold swing and ambipolar current. The silicon based TMGTFET device demonstrates good performance which makes it a suitable candidate for low power applications with ON current of 0.386 µA/µm, average sub-threshold swing of 32.06 mV/decade, maximum current gain cut off frequency of 41.4 GHz and extremely low OFF current value of the order of 10-20A/µm. We have performed the device optimization to boost the ON current and improve the sub-threshold slope in order to make sure that this device configuration becomes suitable for both low power and high performance applications. The proposed hetero dielectric tri material gate tunnel FET device (HD-TFET) designed in gate all around configuration achieves 19.7 times improvement in ON current as compared to TMGTFET device and excellent average sub-threshold swing of 21.2 mV/decade. The maximum unity current gain frequency is also improved by 3 times indicating its potential for deployment in high frequency applications.
Neural learning: price prediction for non-agricultural commodities using back propagation network
Authors: Arul Vethamanikam G Hudson , Kiruba Rani V Mary , Jebadurai D Joel
Published: November 2018

Neural Network is relatively superlative in predicting economic data. The concept for econometric research contracts with predicting the price variation of non-agricultural commodities. With a focus on gold, silver, aluminium, lead, zinc, natural gas, crude oil the systematic learning for finding the price growth is the aim of this research. The methodology implemented deals with neural network back propagation for training and testing. The input data are learned with 0.2 learning rate and trained until minimization of error. The price of describing commodities from 2007 to 2016 year and it is predicted that within this period the importing commodities get profit up to 77% with combination of gold, silver, aluminium and crude oil are sold as equally. Systematically, the goods are learned easily in the proposed methodology and the error rate is minimized at the lowest.
Fault Tolerance and QoS based Pervasive Computing using Markov State Transition Model
Authors: David Beaulah , R. Santhosh Dr
Published: November 2018

Fault-tolerance is significant in pervasive computing environments. Recently, few research works has been developed for reducing the fault, occurring in pervasive computing. However, there is a need for a fault tolerance mechanism to reduce the link failures and unwanted mobile node access (in pervasive computing environment). In order to overcome these limitations, Markov State Transition Based Fault Tolerance (MST-FT) Model is proposed. The main objective of MST-FT Model is to achieve resource efficient QoS in pervasive computing environment by avoiding the link failures and unwanted mobile node usages. Initially, the optimization of link failures is achieved by maintaining Markov chain of high energy mobile nodes on the wireless network communication path. The mobile nodes with higher energy and minimal drain rate are combined to form a chain in its corresponding path of communication in order to minimize the link failures in pervasive computing. Next, the inappropriate mobile node usage is avoided by selecting only the authorized mobile nodes for Markov chain construction to effective network communication, which resulting in improved fault tolerant rate. Therefore, MST-FT Model provides higher resource efficient QoS as compared to existing works. The performance of MST-FT Model is measured in terms of fault tolerant rate, execution time, energy consumption rate and quality of service level. The simulation results show that the MST-FT Model is able to improve the fault tolerant rate by 13% and also reduces the energy consumption rate of resource efficient QoS by 25%, when compared to previous works.
A novel approach to medical image watermarking for tamper detection and recovery of region of interest using block compression and checksum
Authors: K Gangadhara Rao , Konda Chaitanya
Published: November 2018

Effective use of telecommunication and information technology in telemedicine increases the medical services to the patients who are from far away locations. The doctors provide these services by evaluating the patient details & scans like CT Scan, MRI and Ultra Sound. The patient information is exchanged between doctors and patients on a public network which is not safe. In medical image, specific regions are very important to diagnosis known as Region of Interest (ROI) and the rest of the regions are not of much importance known as Region of Non-Interest (RONI). Providing security to the ROI is an important issue hence medical image watermarking is used to transmit the medical images by embedding the ROI into RONI. At the destination, if tampering is found in ROI then recovery of ROI is possible by extracting the ROI from RONI. In the proposed method, the medical image is divided into three parts: BORDER, ROI and RONI. Further the ROI and RONI are divided into blocks and each ROI block is mapped to RONI block by applying division hash function. Lossless block compression technique is applied to each ROI block and embedded the compressed ROI block into mapped RONI block. To provide authenticity to ROI, checksum is calculated for ROI and embed this checksum in BORDER. Again checksum is calculated for each ROI block and placed in mapped RONI blocks. Whether ROI is tampered or not, is to be identified by extracting the checksum from BORDER and if it is tampered then recover the ROI by mapped RONI. The efficiency of the proposed algorithm is estimated by the performance measures mainly Peak Signal to Noise Ratio (PSNR). The proposed method gives good results on average 55 dB of PSNR compared to the previous methods [21] by efficiently compressing the ROI and by checking the authenticity.
Flexible and extendable advance satellite tracking system
Authors: Tarmizi Ahmad Mohamed , Lam Michael , Abidin Razali , Razali Shikin , Zhahir Amzari
Published: November 2018

Aircraft tracking via satellite uses four dimensional aircraft position information to enhance flight safety by recording, scrutinizing and visualizing the information generated by an Airborne Tracking Unit (ATU) fitted onboard of aircraft flying from one point to another. It is an important device for aircraft operator to ensure its operational safety. Starfish Tracker SF3100-1 aircraft tracking unit can be used in aircraft satellite tracking applications. Research collaboration between Worldgate Technologies (WGT), Universiti Pertahanan Nasional Malaysia (UPNM) and Universiti Putra Malaysia (UPM) has developed the ATU originally from land base to airborne vehicles tracking, hence it provides multitudes of civil and military applications. The ATU is a unique device that enables multi-tasking application such as Air Combat Manoeuvring Instrumentation (ACMI), Network Centric Warfare and Flight Data Monitoring systems. In this paper, system characteristics and its applications are presented with the potential applications for Flight Data Monitoring system.Â Â
A parallel distributed compensation approach to fuzzy control of spacecraft combined attitude and sun tracking
Authors: Chak Yew-Chung , Varatharajoo Renuganth
Published: November 2018

A spacecraft combined attitude and sun tracking system (CASTS) is a synergized system in which solar array drive assemblies are used as sun trackers and simultaneously as attitude control actuators. This paper, a continuous research on CASTS, addresses its attitude control problem. The kinematics and dynamics equations of a rigid spacecraft attitude motion is inherently nonlinear. In the attitude regulation problem, the attitude motion can be treated as a simple linear system for a constrained range of operating conditions, but it has impacts on the accuracy of the linear model when a model-based controller is implemented. Naturally, this is a compromise between simplicity and accuracy that all design engineers have to face. In this paper, we present a systematic approach to improve the accuracy while preserving the model as linear as possible, by deriving a quasi-linear approximation of a nonlinear spacecraft attitude motion. The quasi-linear approximation is based on the framework of the Takagiâ€“Sugeno (Tâ€“S) fuzzy model. If a spacecraft can be modeled in the form of a rule-based T-S fuzzy system that acts as an interpolator between linear state-space systems, an approach called parallel distributed control (PDC) can be used to stabilize the attitude motion. The design philosophy of PDC is to create a simple fuzzy controller, where each ruleâ€™s consequent is a control law designed to stabilize the linear system in the corresponding consequent of the spacecraft T-S fuzzy system. Numerical results validate that the attitude and sun-tracking performances are achievable using the proposed PDC strategy.Â
Aerodynamic characteristics of a cranked planform blended wing-body aircraft with 400 sweep angle
Authors: M Ahmad A , E M Nasir R , A A Latif Z , Kuntjoro W , Wisnoe W , S Ishak I
Published: November 2018

Baseline 7 Blended Wing-Body design is introduced to study the behaviour of the control surfaces, given four elevons without vertical stabilizer and wingtip. The objective of the paper is to obtain an aerodynamic characteristic of a cranked planform blended wing-body aircraft. The airfoil used for the entire body is NACA 2412, which is selected for ease of fabrication process. The wingspan of the model is 1.4 m with 0.2 m thickness. The sweep angle of the model is fixed to 400. The wingspan area is calculated at 0.405 m2. The experiment is conducted at UTM-LST Wind Tunnel, AEROLAB, Skudai, Johor with test wind speed of 15 m/s. The maximum lift-to-drag ratio for the model is found to be around 21.9, which is better than many conventional aircraft. Nonetheless, the parabolic regression made to the drag versus lift plot only yields maximum lift-to-drag ratio of 10.0. The value of drag coefficient at zero lift is 0.012 while the maximum lift coefficient found is at 0.65 at 150 angle of attack. The lift-to-drag ratio improves 38.3% from 15.9 in the previously-published design. The neutral point is found to be located at 30.6% of the mean geometric chord in front of the wind tunnel model reference center or about 0.398 m from the nose of the 0.63 m long aircraft model or at 63.1% of aircraft length from the nose.Â Â
Heat transfer performance of multiple holes impingement cooling technique
Authors: F Mohd Zulkeple M , R Abu Talib A , Gires E , T Hameed Sultan M , S Ramli M
Published: November 2018

This research presents the possibility of the jet impingement cooling technique configuration for stator of turbine blade under the transient heat transfer condition. The main goal of this study is to investigate the impingement cooling plate holes configuration and Reynolds number (Re) effect on the heat transfer which can be observed from the color play of the thermochromic liquid crystal (TLC). The findings proved that with the present of the small holes in between the main larger holes capable to enhance the heat transfer across the target surface. However, some criteria of the design need to be taken into count as it may produce different heat transfer performance of the impingement cooling technique. Therefore, in the range of predetermined design parameters, only several combinations that prevailed to achieve maximum heat transfer across the target plate.Â
A case study of LEAN application for shortest lead time in composite repair shop
Authors: Adly Ishak Fadzil , Khudri Johari Muhd , Dolah Rozzeta
Published: November 2018

Lean tools and applications have been adopted globally by many companies and industries such as automotive, aerospace, healthcare, pharmaceutical, shipbuilding, public services, project management and several others. The most basic of lean tools can be distinguished by the following: Value Stream Mapping (VSM), 5S and Kaizen, and many have agreed that these are the best selections in the initial approach of lean system and these techniques are part of the Y Management System (YMS) initiatives. This research is intended to make VSM as the primary working culture, which has been proven suitable to the servicing companies that conduct Maintenance, Repair and Overhaul (MRO) activities. With full cooperation from Company X Sdn. Bhd., researchers were able to review and later harmonize the implementation flow of VSM with the intentions to increase their personnelâ€™s production rate significantly. The rudder repair project involving the maintenance of Royal Military Airforceâ€™s Skyhawk aircraft has been given the opportunity to be experimented with VSM. After the analysis of all 53 personnel involved, it can be concluded that the lean implementation has considerably improved their individual performances, organizational behaviours, future work mapping and personal/team workstations. Â Â Â
Nonlinear reduced order model of high aspect ratio rectangular wing plate
Authors: C Thinesh , Y Harmin M
Published: November 2018

This paper presents a Combined Modal Finite Element (CMFE) approach to develop a Nonlinear Reduced Order Model (NROM) in order to characterize the nonlinear properties of the wing plate model. The wing plate model is subjected to three types of loading cases. The first case considers a uniformly distributed loading on the whole wing plate model for describing the bending deflection; the second case considers a uniformly distributed loading on both leading and trailing edges with one of them of an opposite direction for describing the twisting deflection; the third case considers the loading on the leading edge for describing a combination of bending-twisting deflection. The accuracy of the results is represented in the form of mean error, the standard deviation of the error and the percentage of error. From the findings, the NROMs are able to predict the nonlinear deformations of the wing plate with a minimal computational time and reasonably good accuracy. The results also indicate the importance of the selection modes when conducting the analysis.Â Â
Evaluating the performance and efficiency of MPPT algorithm for PV systems
Authors: Hussein Ali Adnan , Abdulwahhab Abdulrazzaq Ali
Published: November 2018

Solar photovoltaic (PV) systems have an advantage of conversion sun's energy to electrical energy without regulation and lower efficiency due to I-V nonlinear characteristics that exhibits in the PV cells. Essentially, There is a need to maximize power extraction from these cells with a maximum power point tracking (MPPT) techniques. The performance of MPPT Algorithm involves a presentation of the PV system model with a most suitable method, Perturbation and Observation (P&O). The P&O implementation is done by MATLAB simulating, which covers a PV cell connected to a controlled buck converter by MPPT algorithms. The achievement of the P&O algorithm with a higher efficiency as well as be able to fast MPP tracking at the Constant irradiation condition as well as with variable irradiation.
Novel method for the selection of time hopping codes for UWB communication systems
Authors: Singh Rajendra , BS Jassal Dr
Published: November 2018

This work investigates the BER performance of existing code families of Frequency Hopping (FH) codes as Time Hopping (TH) codes in multiuser UWB communication environment and provides a novel method for the selection of TH codes. The performance of codes has been validated in AWGN channel for single user and further validated over multiuser environment. A significant improvement in performance has been observed over random codes. It is validated that selection of better TH codes reduces the MUI and improves the overall performance of the communication system and FH codes with better correlation properties can be used as TH codes in multiuser UWB communication system.
Describing proof on hybrid model of ICT and collaborative learning
Authors: Nadar Nityashree , Iyer Dr.R.Kamatchi
Published: November 2018

This paper analysis document to explore tendencies of implementing of ICT in social media and collaborative learning which was explained in the previous paper with an experiment using the study of algebra data set. After analysing the hybrid model, this paper explains the analysis of that novel approach has another remarkable role as a developer and source of innovation. A proposed model that has been suggested to form a starting point for the next ICT education.
Low leakage SRAM cell for ULP applications
Authors: Tripathi Tripti , S. Chauhan D. , K. Singh S.
Published: November 2018

Leakage power is becoming a major concern in battery operated and hand held devices. With the ever reducing size of electronic devices and the use of memory in most of them, the need for low power devices is vastly increasing. These devices are either in active or standby mode of operation. Leakage power in standby mode of operation is of major concern and various methods to minimize it have been proposed at various stages of design cycle. This paper proposes fingering technique that can be used in 6T SRAM cell to reduce leakage power. Leakage power is calculated for 6T SRAM cell designed using two fingers in access transistors and on comparison with conventional 6T SRAM cell, significant reduction in leakage current is obtained. The layout has been designed in UMC 55nm technology using Cadence Virtuoso tool and it has been shown that the leakage power and delay can be reduced.
Design of CPW antenna for network applications
Authors: Sanmugasundaram R. , Dileepan D. , Natarajan S.
Published: November 2018

The novel CPW antenna design consists of monopole, which can used for High speed wide area or local area corporate networks and Video & CCTV surveillance networks and Long-range Rural connectivity. This antenna has been designed with design size parameters of 59.5(L) x 30 (W) x 1.6-(H) mm2, the dielectric constant of FR4 substrate is 4.4, and loss tangent of 0.002 is used. The resonant frequency range of this proposed antenna is 5.85 - 6.6 GHz with return loss above of -10dB achieved. The peak gain of this antenna is 5.5dBi and in addition the S, Z-parameters, VSWR, 2D & 3D radiation pattern are also derived. Good results are achieved after simulation.
Multiple targets detection in the marine environment using matlab
Authors: SK Jainuddin , P Satyanarayana , V.B.K.L Aruna
Published: November 2018

This paper implements multiple targets detection against sea clutter by mathematically modeling target as a single point target and sea-clutter as k-distribution model and observing the deterioration in the effective operation of radar using signal processing by matlab. A Variability Index (VI) algorithm is suggested for detection on the basis of constant false-alarm rate (CFAR) property even in heteroge-neous conditions. Comparative analysis of VI-CFAR against various CFAR methods (CA, GO, SO, OS) for multiple targets detection in heterogeneous environment is done in this paper. Comparison and evaluation is done by means of the data which is simulated in MATLAB. The logical operation of the method is verified in heterogeneous condition.