bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis and Design of a Multi Octave Circularly Polarized Monopole Antenna for UWB, X and Ku-Band Applications
Authors: Vanka Saritha , Seedrala Tanmayi , Rani Areti Jhansi
Published: April 2019

This work presents a circularly polarized, CPW-Fed multi band operating monopole antenna. The monopole antenna consists of three parasitic elements, along with a stub at ground for impedance matching. The parasitic elements so far accumulated have shown their excellence in increasing the impedance bandwidth over the 6-18GHz band. The antenna was carved on FR-4 epoxy substrate which result a copper clad laminated structure. The CPW-Fed monopole antenna exhibits excellent circular polarization levels in the frequency region 6-18GHz. The simulation resulted a Return loss of less than -10dB, with good axial ratio less than -3dB over entire band of interest. The simulation was carried out through HFSS microwave studio. The antenna measured values are in good correspondence to the simulated values.
Defense Against Co-Operative Black-hole Attack and Gray-hole Attack in MANET
Authors: Panda Niranjan , Kumar Pattanayak Binod
Published: April 2019

Mobile Ad-hoc networks (MANETs) can be termed as an autonomous system created by the collaboration of a set of motile nodes communicating with one another through available wireless media and each node behaves as an end system, as well as a router for packet forwarding. Each node is allowed to move freely, change locations and configure them to form a network. Finding an optimal and efficient path between the sender and receiver node is the main aim of routing protocols. Multipath routing protocols show a better result in comparison to single path routing protocols, for data transmission from source to destination extending lifetime of the network. Along with that security in routing for a protected communication between nodes has become a prime concern as any attack during routing may interrupt data transmission, paralyzing the whole network. During packet transmission through multiple paths a number of attacks make come into action by the unauthenticated and compromised nodes present within the network and black-hole attack is one of them. So our objective is to design a multipath routing protocol that detects and avoids the path containing black-hole. Our paper proposes a way to defense the black-hole and gray-hole attacks with the help of intelligence in MANET.
Artificial Neural Network Model Adopting Combinatorial Inhibition Process in Multiple Solution Problems
Authors: Shyamala K , Chanthini P , Krishnan R , Murugan A
Published: April 2019

Exploration of Artificial Neural Network (ANN) research continually opens rooms for improvement and implementation of mathematical models to solve various problems. This research work was not only to direct on the objective of problem-solving, instead the goal is to mimic basic biological functions of the brain in problem-solving situations. The basic biological theories of “Selection”, “Combination” and “Inhibition” were successfully implemented in the earlier works. This work conceived another biological theory named “Sequential Firing” of neuron in solving complex problems like sum-of-subset problems. The non-modular combinatorial inhibition neural model has been proposed and implemented successfully using the time delayed sequential firing between neurons. As per the biological theories knowledge representation is a preliminary phase of learning. This work not only illustrates the sequential process of firing between neurons, it paves the way to utilize this neural model for the learning process.
A Systematic Review of Recommender Systems in Education
Authors: Vaidhehi V , Suchithra R
Published: April 2019

Recommender system (RS)s are widely used in different walks of life. This research work is to explore the usage of RS in the field of education. This review is performed in five dimensions which includes, Purpose of RS in Education, various techniques to build RS, input parameters used in design of RS, type of students involved in design of RS and Modelling strategies for RS to represent the data. The outcome of the research work is to facilitate the efficient design of the recommender system in education which will help the students by generating the appropriate recommendations.
High Speed RADIX-2 Butterfly Structure Using Novel Wallace Multiplier
Authors: Thakur Garima , Sohal Harsh , Jain Shruti
Published: April 2019

In Signal Processing applications the arithmetic units mainly consists of adders and multipliers. These arithmetic units are used in to enhance the performance of Fast Fourier Transform (FFT) Butterfly structure implementation. This paper discusses the addition and multiplication algorithms for parameters like speed, area and power. The best suited among all adders are Kogge Stone Adder (KSA) while among multipliers are Wallace multiplier(WM) which is used for the implementation of the FFT structure. Verilog coding is used for implementation of circuit and the tool used is Xilinx ISE 14.1 Design suite.
The Study of Bacillus Cereus on a Photonic Crystal Biosensor
Authors: Priyadarshini Rashmi , K Narayanappa C
Published: April 2019

The work involves the study of bacteria named bacillus cereus which is a type of pathogen that causes infections in the blood. This infection of the blood may lead to many more complications that may lead to life threatening. Hence immediate diagnosis becomes an important criteria. B. Cereus is a gram positive and hemolytic bacteria no matter where ever it is extracted from, it requires biomarker to make it recognised and hence the wavelength and refractive index will remain same. The paper includes the study of the presence of B. cereus in the blood with the knowledge of the refractive index of the bacteria with the aid of an photonic crystal nano sized biosensor. The sensor works on the principle of minute changes in the value of the given refractive index value. Namely here the blood samples with the presence of B. cereus and the normal blood sample. The simulation is done where in the design is excited with a Gaussian pulse source with the amplitude differences in wavelength of the two blood samples are observed/. The sensitivity was found to be 5.987µm /RIU and the Quality factor is given by 1692.2.
A Case Study on Defining a “Quality Algorithm” Based on Correlation between ‘Existing Quality Model, Different Attributes of Defects & Tests’
Authors: Anurag Abhishek , Kamatchi R
Published: April 2019

Usage and nature of software systems have changed significantly. Due to this complexity of software systems has also grown exponentially. In these ever-changing requirements and environment in which software system is being used, maintaining quality of software system is very challenging and difficult. If user requirements are not met as expected, it’s called defect. To improve quality, it’s critical to understand and analyze these defects. In this study root cause analysis technique is used to analyze defects and their attributes, root cause of defects and corrective actions of defects. A quality model is designed based on defects, root cause of defects and tests. A quality algorithm is designed in this study depending on existing quality model, defects, tests and their attributes. This quality algorithm is executed on a software system to validate quality model. The results obtained are analyzed to understand the quality of the software system and how it’s different than existing quality model.
Advancement of E-Book Through Automation System in Department of Islamic Education (STAI) Miftahul Ula Nganjuk
Authors: Barid Nizarudin Wajdi Muh , Halim Paisal , Badruddin Syamsiah , . Hartono , A. Abdullah Hasim , Ikhsan Setiawan Muhammad , Novita Sari Ifit , Puji Nali Brata Diah , Simarmata Janner
Published: April 2019

Improving quality of learning related to the management of supporting facilities in the learning process cannot be separated from the library facilities implemented by the librarian. It is essential to ensure that the learning activities can be done well. Therefore the librarian is asked to design a system called Library Automation. Instructional design in E-Book development methodology with this library Automation system uses library to study and field study using observation and interview. This system is made to accelerate the typical daily activities. The application of automation gives a great advantage; the students can be able to find the information quickly. Furthermore, this automation system is already based on Online. The existence of the e-book gives the significant benefits in STAI Miftahul Ula Nganjuk. In expanding perusing interest, the presence of the digital book can likewise enhance the administrations institutionally, takes care of its requests advancement, improves the execution, and keeps up a realness of an archive. The understudies are exceptionally happy with this framework. They generally get the data about the books despite the fact that they are not on grounds condition.
Study the microstructure and mechanical properties of dissimilar friction stir spot welding of carbon steel 1006 to aluminum alloy aa2024-t3
Authors: Abdullah Isam Tareq , Ibrahim Zaman Khalil , Razooqi Ahmed Ibrahim
Published: April 2019

Friction stir spot welding-FSSW has been suggested as effectual process to welding difficult materials such as dissimilar materials and thin sheet of metal alloys. In this study, using dissimilar materials were welded carbon steel-1006 on upper plate and aluminum alloy AA2024-T3 on lower plate. Macrostructure, micro-structural analysis and mechanical properties of the joints are done. The effect of penetration depth, dwell time and spindle speed on tensile shear load are investigated with invariable of other parameter during welding process. The maximum tensile shear load (3.31KN) was occurred when using 0.4mm of penetration depth, 10 sec of dwell time and 1400 rpm of spindle speed. Also, two type of failure shape was observed interfacial fracture of carbon steel sheet and pull-out fracture of AA2024-T3 sheet.
Reverse Logistics for Malaysian Tire Industry: A Conceptual Framework for Strategic Implementation
Authors: Rizad Md Sapry Hairul , Shakina Mohamad Ridwan Nurul , Rahman Ahmad Abd , Baskaran Shathees , . .
Published: April 2019

The deficiency in product performance of tire which concerns safety issue requires an immediate pull back from the market.  An increasing trend of defect tires pull back from the market has made enforcement of environmental legislation to be more forceful and that is one of the reasons tire manufacturers scouting for possible distribution channels or methods to enhance reverse logistics as part of their supply chain.  In order to provide a conceptual strategic implementation direction, this research adopted qualitative method occupying in-depth interviews with major tire manufacturing companies in Malaysia to extract the data and explore resulting themes. A strategic model of implementation of reverse logistics for tire industry in Malaysia has been established as a guide for academician, practitioners and relevant regulatory bodies with an aim to improve the process of reverse logistics addressing cost structure and environment issues as well as to introduce and enhance the possibility of reverse logistics in the supply chain of tire industry in Malaysia.
A Survey on Securing and Optimizing Health Care Bigdata
Authors: Kavitha K. , Anuradha D. , Pandian P.
Published: April 2019

Huge amount of health care data are available online to improve the overall performance of health care system. Since this huge health care Big-data is valuable and sensitive, it requires safety. In this paper we analyze numerous ways in which the health care Big-data can be protected. In recent days many augmented security algorithm that are suitable for Big-data have emerged like, El-Gamal, Triple-DES, and Homomorphic algorithms. Also authentication and access control can be implemented over Big-data using Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) schemes.Along with security to Big-data we try to evolve the ways in which the valuable Big-data can be optimized to improve the Big-data analysis. Mathematical optimization techniques such as simple and multi-purpose optimization and simulation are employed in Big-data to maximize the patient satisfaction and usage of doctor’s consulting facility. And also, to minimize the cost spent by patient and energy wasted.
Planar and Non Planar Construction of - Uniquely Colorable Graph
Authors: Elakkiya A. , Yamuna M.
Published: April 2019

A uniquely colorable graph G whose chromatic partition contains atleast one g - set is termed as a g - uniquely colorable graph. In this paper, we provide necessary and sufficient condition for and G* to be g - uniquely colorable whenever G  g- uniquely colorable and also provide constructive characterization to show that whenever G is g- uniquely colorable such that |P | ³ 2, G can be both planarand non planar.
G, G ̅ Properties – from G ̅, G
Authors: Elakkiya A. , Yamuna M.
Published: April 2019

In this paper weprovide a method of determining the chromatic polynomial of  without actual construction of . A planar graph characterization of graphs whose domatic partition is  using  properties is established and provide a MATLAB program for identifying just excellent graphs.
RAPID-Risk Assessment of Android Permission and Application Programming Interface (API) Call for Android Botnet
Authors: Abdullah Zubaile , Mohd Saudi Madihah
Published: April 2019

Android applications may pose risks to smartphone users. Most of the current security countermeasures for detecting dangerous apps show some weaknesses. In this paper, a risk assessment method is proposed to evaluate the risk level of Android apps in terms of confidentiality (privacy), integrity (financial) and availability (system). The proposed research performs mathematical analysis of an app and returns a single easy to understand evaluation of the app’s risk level (i.e., Very Low, Low, Moderate, High, and Very High). These schemes have been tested on 2488 samples coming from Google Play and Android botnet dataset. The results show a good accuracy in both identifying the botnet apps and in terms of risk level.
A Preemptive Behaviour-based Malware Detection through Analysis of API Calls Sequence Inspired by Human Immune System
Authors: Marhusin Fadzli , John Lokan Christopher
Published: April 2019

This study detects malware as it begins to execute and propose a data mining approach for malware detection using sequences of API calls in a Windows environment. We begin with some background of the study and the influence of Human Immune System in our detection mechanism, i.e. the Natural Killer (NK) and Suppressor (S) Cells. We apply the K = 10 crosses fold data validation against the dataset. We use the n-grams technique to form the data for the purpose of establishing the Knowledge Bases and for the detection stage. The detection algorithm integrates the NK and S to work in unison and statistically determine on whether a particular executable deemed as benign or malicious. The results show that we could preemptively detect malware and benign programs at the very early beginning of their execution upon inspecting the first few hundreds of the targeted API Calls. Depending on the speed of the processor and the ongoing running processes, this could just happen in a split of a second or a few. This research is as part of our initiative to build a behaviour based component of a cyber defence and this will enhance our readiness to combat zero-day attacks.
Signature-Based Malware Detection Using Sequences of N-grams
Authors: Moshood Abiola Alogba , Fadzli Marhusin Mohd
Published: April 2019

The focus of our study is on one set of malware family known as Brontok worms. These worms have long been a huge burden to most Windows-based user platforms. A prototype of the antivirus was able to scan files and accurately detect any traces of the Brontok malware signatures in the scanned files. In this study, we developed a detection model by extracting the signatures of the Brontok worms and used an n-gram technique to break down the signatures. This process makes the task to remove redundancies between the signatures of the different types of Brontok malware easier. Hence, it was used in this study to accurately differentiate between the signatures of both malicious and normal files. During the experiment, we have successfully detected the presence of Brontok worms while correctly identifying the benign ones. The techniques employed in the experiment provided some insight on creating a good signature-based detector, which could be used to create a more credible solution that eliminates any threats of old malware that may resurface in the future.
PEG Based Alternative Stimulants and the Effect on Latex Production and Physiology of 6 Years Old of Clone PB 260
Authors: Sari Rahayu Murni , . Nurhayati , Tistama Radite , Asbur Yenni
Published: April 2019

The objectives of this study is to study formulation of PEG based alternative stimulant to increase latex production and physiologically safe for clones PB 260. This research was conducted at Sungei Putih Research Center, Rubber Research Center, Deli Serdang Regency, Province of North Sumatera and PTPD Paya Pinang, Tebing Tinggi, North Sumatera. The study uses 6 year-old of rubber clone PB 260 to determine differences in some parameter such as production (g/p/s), inorganic phosphate, sucrose and thiol levels. The results showed that stimulants have significant effect on production (g/p/s) and inorganic phosphate. PEG applications can encourage increased production (g/p/s) and inorganic phosphate. The combination of stimulant and PEG has very significant effect on production (g/p/s) and inorganic phosphate.
Does Servant Leadership Behavior Induce Positive Behaviors? A Conceptual Study of Servant Leadership, Psychological Safety and Turnover Intention
Authors: Ahmed Brohi Noor , Hamzah Jantan Amer , Adal Mehmood Sultan , Ahmed Khuhro Mansoor , Saood Aktar Muhammad , . .
Published: April 2019

In this paper, we examine how servant leadership and psychological safety may enlighten our understanding of human mechanisms that affect follower outcomes. Servant leadership style as penned by Robert Greenleaf that servant leaders guide followers to adopt the behavior of their leaders by putting others needs above their own. From emerging research on servant leadership, we proposed a model contending that servant leaders increase employees’ psychological safety that organization is a safe place to speak up ideas, opinions and take decisions, which directly influences Employees’ turnover intention. As proposed, servant leadership will be negatively related to Employees’ turnover intention and positively related to psychological safety. Psychological safety will mediate the relationship between servant leadership and turnover intention.
Prediction the Behavior of Piles in Clayey Soils
Authors: Adnan Hasan Hanan
Published: April 2019

This research includes a non- linear finite element analysis of axisymmetric soil-pile system. The analysis included piles of different length and diameter. The interface element was used as a thin layer separating the pile from surrounding soil. The load settlement curves for piles installed in soft to medium and stiff clays were obtained. Two consideration were studied; the ultimate capacity of pile and the settlement reduction factor. The results show that increase in the length and diameter of pile leads to increase in the ultimate load in range (35- 60%) and in the range (33- 35) % respectively. The distribution of lateral displacement along the depth of the pile gave the same trend in both soft to medium and stiff clay while the settlement reduction factor in soft soil is greater than for the stiff clay.
Assessment of Using Cement Kiln Dust Stabilized Roads Subbase Material
Authors: Abdulzahra Mahdi Zaid , Abbas Hasan Mohammed , Ahmad Jasim Heydar
Published: April 2019

The increase in the demand for cement to produce large quantities for the purpose of reconstruction produce a large amount of cement kilns dust accordingly. The cement kilns has a cementations property and it's using to treats soil. In this study, sand gravel soil (roads subbase) materials has been used to study the effect of the cement kiln dust (CKD) as a partial replacement with the natural dust of subbase till 20% by weight. Three tests procedures have been adopted which are density-moisture relationship, California bearing ratio (CBR), and unconfined compression strength (UCS). The results show significant increasing in density and optimum moisture content, CBR, and UCS with the increasing of CKD content. Bonds induced by the pozzolanic reaction and the absorption of the free water on particles surfaces approaching each other could the cause of increasing density, forming tighten structure, and raising the CBR% values, this reaction needs more water with increasing of CKD that could be caused increasing in the optimum moisture content. The increasing in UCS results due to stabilizing the materials by CKD increased the ability to use the CKD as alternative material for Portland cement.
Detection of Rotating Diode Failure Condition & its Protection in Brushless Alternator
Authors: S Pranupa , B M Kiran Kumar , Rao S. Nagaraja
Published: April 2019

Brushless excitation system is widely used in large capacity synchronous generators since it removes the usage of commutator, brushes and slip rings, hence reduces the losses, maintenance and increases reliability. Rotating Rectifier Assembly (RRA) is the main part of brushless alternator. Due to ageing phenomenon and continuous process regime, diodes in rotating rectifier can fail either due to Open Circuit (OC) or Short Circuit (SC), which overloads the exciter and hence the alternator can no longer run securely. If such condition is prolonged, the Automatic Voltage Regulator (AVR) as well as the exciter windings can be damaged.This paper presents two different methods of diode failure detection in brushless alternators. First method uses an algorithm based on output voltage and the second uses the ripple factor of the exciter field current. Diode failure condition is detected for different type of loads connected to 4 kVA, 380 V, 50 Hz, 4 poles generator with 14 pole exciter (brushless alternator) and the results are verified using MATLAB/Simulink. Also, the protection schemes for rotating diode assembly as well as exciter field windings are presented using Metal Oxide Varistor (MOV) and Discharge Resistor.
Torque Ripple Reduction in Brushless DC Motor by Using SPWM and SVPWM Techniques
Authors: Rao Ch.N. Narasimha , Sukumar G. Durga , Kumar R. Vinod
Published: April 2019

Brushless DC motors have the large applications because of its easiest control system and the highest efficiency. Industrial BLDC motor drives suffers from the ripples in the torque, due to which motor has more noise, vibrations and less efficient. To reduce the ripple, the Space Vector PWM (SVPWM) and Sinusoidal PWM are implemented in BLDC drive. The Pulse Width Modulation (PWM) controls the converter output voltage and frequency. Space Vector PWM (SVPWM)and Sinusoidal PWM are the best techniques used in industries because its easy design. Space Vector PWM control method is implemented and it overcomes the disadvantages in PWM such as losses in switching of the converter, output harmonic content& provides better DC-bus voltages. The torque ripples are also reduced in SVPWM method compared to SPWM method. In this paper BLDC motor with a fuzzy controller is presented and the comparison in performance of SVPWM &SPWM methods presented. The SVPWM makes the drive has less ripple in torque& noiseless operation. The Matlab/Simulink models of SVPWM and SPWM method with fuzzy controlled BLDC motor also presented.
Grid Integrated Wind Energy Storage System for Linear and non-Linear Loads
Authors: Suresh Dr. K. , Babu A. R. Vijay , Venkatesh P. M.
Published: April 2019

The proposed system also has boost converter, bidirectional DC-DC converter and inverter for grid and wind energy integration. The boost inverter/buck rectifier in this system is controlled by ANFIS controller is for better output, boost and bidirectional DC-DC converters are controlled by PID controller in closed loop. Overall operations are based on modes main controller speedgoat, which is control the system operation in different modes. Any variation happening in the input, storage and load parameters speedgoat changing the mode and operate the system is in effective way. This paper presents harnessing of maximum wind energy from natural resource whenever it’s available. The power electronic converters role is important In between sources and load. The load may be linear and non-linear in nature, so converters performance decides the efficiency of the system. Proper controller can switch the converter in the desired time and improve the system performance and stability. Many controllers are suggests to control the converter to get better performance in at output side.
Design and Modeling of Modified Savonius Highway Wind Turbine
Authors: Venkatesh P.M. , .Suresh Dr.K , Babu A.R. Vijay
Published: April 2019

Abstract— in this paper, the design and modeling of highway wind mill using savonius wind turbine has been done. The highway wind mill is nothing but the wind mill kept in the mid of the road so that , this wind mill utilize the fast moving wind which is produced from fast moving vehicles travels in the high way. In this work the required wind data have been collected  in highways and based on these values the design and fabrication have been made. The output of the wind turbine has been given to the power converter in order to get the constant power output.
An Integrated Approach to Assess the Impact of PCM [Phase Change Material] to Reduce the Energy Consumption in Buildings-a Review
Authors: Reddy Mr. K.Pavan Kumar , Rao Dr. B. Nageswara , Reddy Dr. M. Srinivasa
Published: April 2019

The achievable joining of Phase Change Material [PCM] in building materials has pulled in a lot of examination intrigue overall due to the need on a dangerous atmospheric deviation and further more the capacity of PCMs to reduce vitality utilization in structures owing to their warm vitality stockpiling capacities. As a substance with high warmth  of combination, PCM is equipped for putting away and discharging enormous measures of vitality inside the assortment of inert warmt in liquefying and hardening forms at the specific change temperature. For as long as 25 years,critical examination has been attempted on potential utilization of PCMs in concrete. Latent Heat Storage [LHS] aimed a PCM is unbelievably alluring because of its high vitality stockpiling thickness and its isothermal conduct all through the stage change process. Expanding the warm stockpiling ability of a building will upgrade the human solace by diminishing the recurrence of inside air temperature swings all together that the inside air temperature is nearer to the pre defined temperature for a broadened measure of time.
A 500 Watts Single Stage Single Switch Soft Switched CCM PFC Flyback Converter with BCM Control
Authors: Mannam Rayudu , Gorantla Srinivasa Rao , Vangala Nagesh
Published: April 2019

Single stage isolated AC to DC converters find prominence due to simplicity and efficiency in addition to economics. Boundary control Mode BCM Flyback converters are widely used for such applications up to power levels of 200 watts. For higher power levels, average current control mode PFCs are used and two stage conversion is incorporated. In this paper,  a novel technique for building  a single stage PFC with a Continuous Conduction Mode CCM Flyback AC DC converter is proposed  for 500 watts power. A practicalsingle stage converter is built with power factor correction and input output isolation. The unique feature of the new configuration lies in having only one primary MOSFET switch and adapting BCM control in a CCM Flyback configuration and achieving ZVS and ZCS while in CCM operation. Proposed configuration is best suited for battery charger applications. Also, the absence of high voltage bulk capacitor at the mains input adds lot of advantages in terms of eliminating inrush current and saving PCB area. A working model of 130 V Dc output and 4.0A  is built and the test data are presented  depicting the complete soft switching of all power devices and exhibiting the efficiencies in excess of 95%.
Control Strategy of Photovoltaic System to Regulate Active and Reactive Power during Unbalanced Grid Voltages by Using Fuzzy Logic Control
Authors: Trilokya Gujjala , Reddy M.Rama sekhara
Published: April 2019

The advanced reactive power regulation is planned to direct the highest and the voltages at least point of regular pairing inside the cutoff points set up in grid codes for consistent operation. These work displays a regulating technique to which the grid associated PV system meaning to direct the  power of both active and reactive infused to the electrical system amid the voltage faults that are uneven in nature. Fuzzy controller is propel controller which is for the most part appropriate for the personal fundamental guidance tool. which additionally gave the electronic system operation by the master choice. The reference of active power  is acquired from a Maximum Power Point Tracking (MPPT) calculation. The advanced force methodology creates the necessary reference currents that forced by the grid-tied inverter from the coveted P and Q powers and the deliberate voltage supply. In unequal voltage sags, positive and negative sequence KVAr are consolidated to adaptable boost and even out the phase voltages; maximum phase voltage is controlled below as far as possible and the base phase voltage simply over as far as possible. The plan is approved to a solitary step PV system where the currents that are  regulated by means of prescient control. By using the fuzzy controller for a nonlinear system which permit the decrease for the questionable impact in the system which control and impeccably enhance the effectiveness. Results demonstrating the execution of the procedure are introduced amid uneven  sags and swells.
Feedback Effects for Epiduroscopy Education based on Serious Game
Authors: Jang Seong-wook , Ko Junho , Choi Yujin , Sang Kim Yoon
Published: April 2019

Efficient surgical education is required because epiduroscopy is difficult to learn and need a high-level surgical skill. Recently, serious game has been used in specialized areas such as medical assistance and learning (surgical education). Serious game in surgical education provides a trainee with opportunities to learn a surgical skill outside OR (operating room). Pre-operative virtual experience allows the trainee to be adapted to the patient and OR environment. In this paper, feedback effects for epiduroscopy education based on serious game are studied. The feedback effects (visual, auditory, and tactile feedbacks) were examined for the epiduroscopy education based on serious game with respect to three methods.
Forming Performance Assessment System of Risk Management in Railway Transport Companies
Authors: Chobitok Viktoriya , Chumak Larysa , Demianenko Tetiana , Us Yulia
Published: April 2019

The paper discusses the problems of assessing risk management performance in railway transport companies. The authors developed an algorithm of forming the competitiveness and risk level assessment system for railway transport companies; they assessed the risk of competitiveness of Ukrainian railway industrial enterprises, suggested measures to mitigate the adverse effect of the risks, a mechanism of working out and making effective management decisions to neutralize risks for railway transport companies.
Ukraine Unified Transport System Potential and Its Development Management Effectiveness Integral Assessment
Authors: Olha Komelina , Viktor Dubishchev , Mykola Lysenko , Nataliia Panasenko
Published: April 2019

Transport system is an important constituent of country’s economy. This system development is a significant factor ensuring population standard of living. Research in the field of unified transport system of Ukraine development estimates reveals its condition as not sufficient to meet modern requirements.    Among the problems which are to be first of all solved to improve transport system of Ukraine operation estimates, an important place belongs to the issues of industry management information and analytical provision:  lack of data collecting and processing effective system, methodology for objective condition assessment and prospective of the industry development, systematic approach to development coordination and long-term panning of all modes of transport operation, criteria and indices for quality estimation in providing transportation services. Solving these problems is impossible without significant improving the country’s unified transport system management. Transport infrastructure in Ukraine requires considerable systemic changes, oriented to logistics which will provide integration effect, reduce costs and improve service quality.    Methodology for the national economy transport system development integral estimation was developed based on the modern information base including approach to determining peculiarities of forming transport system of Ukraine potential and its development management effectiveness under global challenges. The developed methodical approach can be efficiently used for analyses, control, accounting, planning, forecasting and regulating the industry activity at the national and regional levels and the level of separate country’s transport subsystems. Suggested approach can be used for evaluating efficiency of transport system development innovative and investment projects, and is the basis for defining market transformation vectors considering its socially optimal development level as well as regarding innovative and investment projects financing.
Monitoring Process Variability and Root Cause Analysis in Paper Box Production
Authors: Salleh Rohayu Mohd , Chuan Ng Jin , Saharan Sabariah
Published: April 2019

In this paper, monitoring procedure for process variability in multivariate setting based on individual observations which is a combination of (i) Hotelling’s T2 control chart in detecting out of control signal and (ii) implementation of Mason, Young and Tracy (MYT) decomposition and structure analysis technique for root cause analysis is introduced. The advantages of this procedure will be shown by using the case of a paper box production process in one of the Malaysian manufacturing companies. The successful application of this multivariate approach could act as a stimulant for most industries to imitate in process monitoring. Moreover, the computation efficiency in root cause analysis enables quality’s multiple characteristics to be monitored simultaneously. Based on the findings, the core issue that needs to be a matter of concern by the management team is the closure tap of the box. This process variation should be solved immediately to avoid the products’ quality from further deteriorating.
Numerical and Experimental Study the Effect of Solid Particles Flow on Heat Pipe Performance
Authors: Hassan Al-Ghazali Hafidh , Wahhab. Aljibory Mohammed , Habeeb Alkharasani Taher
Published: April 2019

A numerical work supported by experimental results was carried out to studying of passing a hot solid particle on heat pipe performance. used Ansys fluent 18.0 as a computer program, geometry was published using design modular engaged in it. 3Dimention model with the steady state was studied to knowing the temperature distributed inside the evaporator and condenser part domain, more clearly to particle behavior and streamline 2Dimention model with transient was studied also. Depended on particle of 105µm diameter and experimental measuring properties set with height range (2.5 to 5) cm inside evaporator part from box, velocity with range (0.8739 to 1.377) m/s was take in consideration, the result shown enhancement in Nusselt number by (58) % when the velocity 1.377 m/s and particle bed height 5 cm compared with the first state, pressure drop with acceptable range was measured not exceed (42) %
Investigation of PO43- Removal in Aerated and Unaerated High Fe EAF-Slag Filter System
Authors: R Hamdan , Zu Nurain Ahmad Siti , ‘Ain Nazirah Mohd Arshad Nur , Afnizan Wan Mohamed Wan , Nizam Maarup Syahrul
Published: April 2019

Phosphorus in wastewater is one the main culprit which accelerates eutrophication in waterbody if it is not being treated properly. Steel slag filter emerged as one alternative treatment for wastewater. However, the variousness of metal oxides including Fe in steel slag will affect the phosphorus removal efficiency. Thus, this study was conducted to investigate the ability of a series of lab-scale high Fe electric arc furnace (EAF- slag) column filters in removing PO43- from synthetic wastewater. The systems were operated under aerated and unaerated within acidic and alkaline conditions. Synthetic wastewater contained 25 mg/L was prepared as the feed and monitored weekly basis for the PO43- removal efficiency and the total metals (Ca, Fe, and Mg) concentrations in the effluents. The results show that both aerated and unaerated high Fe EAF-slag filter systems have high PO43- removal efficiency under acidic condition, which unaerated system performed slightly better. It can be observed that unaerated systems performed better in removing PO43- at acidic and neutral pH values but not at extremely high pH. As for the PO43- removal mechanism was achieved by adsorption and precipitation at acidic pH and the concentration of Ca, Mg and Fe in effluents was related to the PO43- removal efficiency at different pH values.
Human Capital in Improving Creative Industrial Performance: A study in the Creative Industry of Batik Trusmi, Cirebon District, West Java
Authors: Sutisna MN Deden , Haizam Mohd Saudi Mohd
Published: April 2019

The research objective was to identify the dominant factors of Human Capital, the partial and simultaneous influence of human capital and Business Performance that built the Batik creative industry in Trusmi in Cirebon, West Java. The respondents of business actors and workers in this industry sector are 10 creative industries with 10 employees each. Survey research methods, data sources are primary with questionnaires, interviews and observations as data collection tools in the object of analysis. Test data using the validity, reliability and classic assumptions test with Confirmatory Factor Analysis software. The results show that of the 20 factors analyzed, there are dominant factors of Intellectual Capital as many as 6 factors namely 1) Batik training is very helpful in working, 2) status as permanent workers are very important, 3) heredity, family as a reason for batik craftsmen, 4) batik skills obtained from education and training, 5) workers have relationships with business owners still family or family, and 6) there are requirements that must be fulfilled, while working in the batik company. Contributions from human capital both to financial and non-financial performance are in large categories. Thus, to develop the Batik creative industry in Trusmi Cirebon currently seen from the aspect of human capital determined 6 dominant factors and their contribution to the performance of the creative industry.
The Effects of Planning and Coordination towards Work Effectiveness at Faculty of Business and Management in Widyatama University, Bandung
Authors: Budiawan Andi , Haizam Mohd Saudi Mohd , Sutisna Deden
Published: April 2019

This research was conducted to find out how big the influence of planning and coordination partially or simultaneously towards the effectiveness of the work of permanent lecturer of Faculty of Business and Management at Widyatama University of Bandung. Research period is from June to November 2017. The population is 58 lecturers. Technique of multiple linear regression data analysis has been used using SPSS version 18 software. Regression Analysis result there is significant influence by planning variables and coordination either partially or simultaneously. Corresponding analysis based on Pearson correlation coefficient (R) obtained results of 0.831 means the relationship between planning and coordination with the effectiveness of employees is very strong. Through the value of R Square (R2) of 0.894, it can be said that the amount of coefficient of determination (KD) of 86.70% means that the effectiveness of employees 86.70% influenced by the variables of planning and coordination and the remaining 10.60% influenced by other factors not examined.
Comparative Performance AODV-ANT and AOMDV-ANT in BlackHole
Authors: Mayang Ajeng , Galih Savitri
Published: April 2019

In this paper, we simulate the black hole attack to compare performance AODV-ANT and AOMDV-ANT to support the advance of the node communications to deliver a good management. In our simulation, the result shows AODV-ANT has decrease packets receive in Blackhole attack comparing without black hole until 0.03%, and while in AOMDV-ANT decrease until 0.47%. But, in throughput, AOMDV-ANT is better than AODV-ANT. The result is AOMDV-ANT has decrease throughput in Blackhole attack comparing without black hole until 0.93%, and while in AODV-ANT decrease until 1.85%. Then, in packet delivery ratio (PDR), AODV-ANT has decrease PDR in Blackhole attack comparing without black hole until 10.357%, and while in AOMDV-ANT decrease until 13.57%. In simulation performed, the impact of the black hole can be seen in the PDR. This occurs because of the random node mobility. For our simulations using NS-2:35 as a tool.
Design of Experiment for In-Situ Synthesis of Waste Vegetable Oils and Synthetic Based Polyurethane (PU) Foam Composites
Authors: Abd Wahab Hanani , Zafiah Mohd Rus Anika , Taufiq Zaliran M.
Published: April 2019

This study focused on fabrication of polyurethane (PU) foams and its composites based on hydroxylated bioepoxy (B) and petroleum based synthetic epoxy (E), crosslinker and wood fillers. The fabrication of foams: B and E with different wood filler size such as flake (L) and powder (P) on different composition ratios of 5%, 10%, 15% and 20%.  The fabrication techniques used in this research are open moulding technique. The physical properties such as morphological pore structure and its homogeneity of wood filler distribution in foam polymer composites were measured. The effect of different size of wood filler loading in PU foam composites were analyzed and discussed in detail such as gelling time, main pore size, interconnected pore and struts thickness. The operatory conditions of in-situ PU foams synthesis were optimized using a design of experiment (DOE). The correlations between factors (X1, X2, X3) and the responses (Y1, Y2, Y3, Y4) for B, E as well as BL, BF, EL or EF foams were further analyzed using Minitab software.
Document Categorization Using Decision Tree: Preliminary Study
Authors: M.U. Noormanshah Wan , N.E. Nohuddin Puteri , Zainol Zuraini
Published: April 2019

This preliminaries study aims to propose a good classification technique that capable of doing document classification based on text mining technique and create an algorithm to automatically classify document according to its folder based on document’s content while able to do sentiment analyses to data sets and summarize it. The objective of this paper to identify an efficient text mining classification technique which can resulted with highest accuracy of classifying document into document folder, capable of extracting valuable information from context-based term that can be used as an output for algorithm to do automatic classification and evaluate the classification technique. Methodology of this study comprises in 5 modules which is 1) Document collection, 2) Pre-Processing Stage, 3) Term Frequency-Inversed Document Frequency, 4) Classification Technique and Algorithm, and lastly 5) Evaluation and Visualization of the classification result. The proposed framework will have utilized Term Frequency-Inversed Document Frequency (TF-IDF) and Decision Tree technique which TF-IDF used as purposes to rank all the terms based on most frequent to least frequent terms so, while decision tree function as decision making in terms of deciding which folder the document belongs to.
Review of Year 2004 Sumatra-Andaman Earthquake Tsunami Fault Parameters
Authors: Naim N. N. N. , Mardi N. H. , Malek M. A.
Published: April 2019

This paper reviews the fault parameters used in the literatures of tsunami source simulations for the 26 December, 2004 Sumatra–Andaman tsunami, as well as understanding of the geology and geography of the Sunda Trench. Although the source of tsunami generation is exclusive, the parameters used in the simulations differ according to source of data, method of parameter derivation and modeling experiences. Hence, identification of possible future source generations and results for best fit parameters obtained from literature review are integrated to be used for future simulations. Based on the literature review conducted, it is clear that the parameters of tsunami source generation play a vital component and indication in amplifying effects in the coastal areas. Hence, earlier identification of possible fault rupture parameters in the Andaman Sea provides an information about the effects of the future risks of tsunami towards the west-coast of Malaysia.
The Prediction of Energy Consumption Using Multivariate Regression and Artificial Neural Network Models: Transport in the GCC
Authors: ALSidairi Zainab Hamed
Published: April 2019

Knowing how energy consumption correlates with transport sector in GCC can offer crucial strategies for planning and implementing policies in this sector. Therefore, an accurate prediction of energy consumption in transport and precise planning in energy consumption so as to effectively control the energy demand in the transport sector is crucial. Air pollution and public health are two of the most vital environmental issues. Urbanization, economic development, the growth of population, transportation, and energy consumption are viewed as the common factors that cause air pollution in towns and cities. The goal of this study is to use multiple liner regression (MLS) and artificial neural network (ANN) models for the prediction of energy consumption for the transport sector in GCC. Data on how energy is used in the transportation sector was incorporated as the output variable of predictive models. Moreover, this paper will discuss how advanced technology can come in to solve problems related to transport in the GCC.
Vegetation Monitoring Using UAV : a Preliminary Study
Authors: Eng L Soon , Ismail Rozita , Hashim Wahidah , Mohamed Rajina R. , Baharum Aslina
Published: April 2019

Remote sensing using drone or UAV (unmanned aerial vehicle) is the current trends and this technology can provide unrevealed life-altering benefits to mankind. Drones are being used in many sectors such as for military, research, agricultural and recreational means. This technology not only can reduce the time of inspection, but it is also giving many benefits such as provides real-time live video for site inspection that can help user to analyze site logistic and speeding up the overall tasks. However, vegetation monitoring using remote sensing has its own challenges in terms of processing the captured image and data. Somehow, previous research has suggested a lot of different possible algorithm that could be used for post-processing the data gathered. Nevertheless, most of the algorithm requires a specific sensor in order to get the result. The objective of this paper is to identify and verify the algorithm that is suitable to process the vegetation image. This research will use the data gathered from various area by using consumer camera and process by using Visible Atmospherically Resistant Index (VARI) indices. Finally, this research will observe the accuracy of the result analyzed using the VARI and identify the characteristic of the algorithm.