bluuebunny/crossref_metadata_2025 huggingface dataset:
Gain scheduled integral linear quadratic control for quadcopter
Authors: Shah J , Okasha M , Faris W
Published: November 2018

The findings of this paper are focused on the dynamics and control of a quadcopter using a modified version of a Linear Quadratic Regulator (LQR) control approach. The classical LQR control approach is extended to include an integral term to improve the quad copter tracking performance. The mathematical model is derived using the Newton-Euler method for the nonlinear six DOF model that includes the aerodynamics and detailed gyroscopic moments as a part of the system identification process. The linearized model is obtained and it is characterized by the heading angle (yaw angle) of the quadcopter. The adopted control approach is utilizing the LQR method to track several trajectories i.e. helical and lissajous curve with significant variation in the yaw angle. The integral term is introduced to the controller in order to minimize the steady state errors observed. The controller is modified to overcome difficulties related to the continuous changes in the operation points and to eliminate the chattering that was observed in the control technique. Numerical non-linear simulations are performed using MATLAB & Simulink to illustrate to accuracy and effectiveness of the proposed controller.Â Â Â
Preliminary investigation on experimental modal analysis of high aspect ratio rectangular wing model
Authors: A. Rosly N. , Y. Harmin M. , L. A. A. Majid D.
Published: November 2018

Procedure of conducting an experimental modal analysis (EMA) of roving hammer test for high aspect ratio (HAR) wing containing geometric nonlinearities is presented along with consideration of various tip store sizes. Two sets of test setups of vertical and horizontal arrangements have been considered, which respectively demonstrates the undeformed and deformed cases. Modal properties in terms of natural frequency and mode shape were experimentally measured using the LMS Test.Lab package and the results were then compared between the undeformed and its corresponding deformed configuration. From the finding, it confirms that the chordwise and torsional modes of the undeformed configurations has respectively turned into chordwise-torsion and torsion-chordwise modes as they are in deformed configuration. Meanwhile, the impact related to bending modes is insignificant. Hence, this may result in inaccurate prediction if conventional aeroelastic solution is employed for HAR wing configuration.Â Â
Aerodynamic performance of X-plane with two different types of inboard stores
Authors: A Rahman Mahadhir , Yazdi Harmin Mohammad , Fuad Koslan Mohd , Rashdan Saad Mohd , Faisal Abdul Hamid Mohd
Published: November 2018

This paper presents the investigation of aerodynamic performance of inboard Store-X and Store-Y configurations on the X-plane aircraft model through computational fluid dynamics (CFD) analysis. The X-plane and Store-Y represent the default store and pylon integration while Store-X provides a possibility for other types of store to be integrated. These stores are loosely based upon the two most commonly used by the western and eastern blocks. The resultant lift, drag and moment forces are of interest in order to observe their impact with respect to the two different stores configurations. The finding shows that the aerodynamic impact with respect to Store-X installation on the inboard pylon station is insignificant when compared to default system, hence offers the safety of delivering the Store-X from the X-plane aircraft.
Motion control of linear induction motor based on optimal recurrent wavelet neural network-PID controller
Authors: L. Saleh Ameer , A. Obaid Badiryah , A. Obed Adel
Published: November 2018

This paper contains a proposed controller based on optimal recurrent wavelet neural network (RWNN) with PID controller to control the velocity and hence the stator current as well as the developed thrust of three phase linear induction motor (LIM) which consider the end effects. A vector control represented by indirect field oriented control (IFOC) technique is appointed to attain velocity and flux control for different loading conditions. Moreover, a voltage source inverter based on space vector pulse width modulation (SVPWM) is utilized to give the required stator voltage of LIM. A well-known particle swarm optimization (PSO) algorithm is employed for online tuning of the proposed controller. The computer simulation results show that this controller is effective and gives preferable and rigorous performance compared with a results obtained from conventional wavelet neural network (WNN) and PID controllers.
A novel energy efficient virtual machine configuration and migration technique
Authors: Srinivasa Rao L , Raviprakash Reddy I
Published: November 2018

The recent growth in the data centre usage and the higher cost of managing virtual machines clearly demands focused research in reducing the cost of managing and migrating virtual machines. The cost of virtual machine management majorly includes the energy cost, thus the best available virtual machine management and migration techniques must have the lowest energy consumption. The management of virtual machine is solely dependent on the number of applications running on that virtual machine, where there is a very little scope for researchers to improve the energy. The second parameter is migration in order to balance the load, where a number of researches are been carried out to reduce the energy consumption. This work addresses the issue of energy consumption during virtual machine migration and proposes a novel virtual machine migration technique with improvement of energy consumption. The novel algorithm is been proposed in two enhancements as VM selection and VM migration, which demonstrates over 47% reduction in energy consumption.
Application of sensitivity analysis and genopt to optimize the energy performance of a building in Morocco
Authors: Serbouti Abdelhadi , Rattal Mourad , Boulal Abdellah , Harmouchi Mohammed , Mouhsen Azeddine
Published: November 2018

The worldwide demographic and economic growth increases the global need for energy and directly contributes to climate change. In Morocco, the residential real estate is the third largest consumer of energy after transport and industry sectors. Thus, the aim of this study is to help engineers improve the energy performance of residential buildings by coupling the TRNSYS software both with a sensitivity analysis method and with an optimization tool. In fact, sensitivity analysis allows reducing the number of input parameters of any studied model, by ranking their degree of impact on any chosen output, and then discard the parameters with the least influence on that output. To do so, we developed algorithms in Python programming language to combine the open source library SALib, available in Github platform, with the TRNSYS software. Then, the chosen input parameters can be optimized through coupling the generic optimization program Genopt with TRNSYS. This article will also explain how these tools were applied to reduce the heating & air-conditioning needs of a high-energy consumption building in Morocco, while studying the variation of nineteen input parameters in TRNSYS. The main aim is to meet the energy performance requirement of the Moroccan thermal regulation for buildings.
Evaluation of 3d facial paralysis using fuzzy logic
Authors: . Banita , Poonam Tanwar Dr
Published: November 2018

Face recognition are of great interest to researchers in terms of Image processing and Computer Graphics. In recent years, various factors become popular which clearly affect the face model. Which are ageing, universal facial expressions, and muscle movement. Similarly in terms of medical terminology the facial paralysis can be peripheral or central depending on the level of motor neuron lesion which can be below the nucleus of the nerve or supra nuclear. The various medical therapy used for facial paralysis are electroaccupunture, electrotherapy, laser acupuncture, manual acupuncture which is a traditional form of acupuncture. Imaging plays a great role in evaluation of degree of paralysis and also for faces recognition. There is a wide research in terms of facial expressions and facial recognition but limited research work is available in facial paralysis. House- Brackmann Grading system is one of the simplest and easiest method to evaluate the degree of facial paralysis. During evaluation common facial expressions are recorded and are further evaluated by considering the focal points of the left or the right side of the face. This paper presents the classification of face recognition and its respective fuzzy rules to remove uncertainty in the result after evaluation of facial paralysis.
Kinetic study of hydrolysis of ethyl acetate using caustic soda
Authors: Ghobashy Mostafa , Gadallah Mamdouh , T.El-Idreesy Tamer , A.Sadek M. , A.Elazab Hany
Published: November 2018

We report here, the hydrolysis of ethyl acetate by using caustic soda which is followed by means of conductance measurements which is widely used in chemical industry. The main aim of this research is to study the parameters of production of ethyl acetate by chemical reaction kinetics using an anion ion-exchange acting as a catalyst and acid-base titrations. The reaction of ethyl acetate and sodium hydroxide (caustic-soda) is done in a plug-flow reactor (steady-state tubular reactor) under the effect of different parameters including temperature, concentration and flow-rate, which allows the determination of activation energy and rate constants, due to large number of experiments. Factorial design method is used for the calculations of the experiment. It was determined that the order of the reaction is a second-order reaction.
Chemical, thermal and economic aspects for the energy balance of coal gasification power plants with and without CO2 recovery
Authors: M. A. Ibrahim Said , E.M Samy Mostafa
Published: November 2018

This paper presents a methodology for studying the chemical, thermal processes and economics for the gasification systems employed in coal fired power stations through thermodynamic analyses based on thermodynamic laws in order to gain some new aspects of the plant performance. A resourceful computer program is developed and designed to calculate all necessary design and performance data for four selected coal fired power plants for all coal ranks. Detailed manual calculations were performed for the results. Comparison of computer and manual results are in excellent agreement which indicates that the present program is an accurate quick powerful tool for all users. The main findings of this paper are that Integrated Coal Gasification Combined Power Generation Plants with CO2 recovery increase the plant's thermal efficiency and decrease the CO2 emission. The thermodynamics, hydrodynamics, and kinetics of each reaction to the gas combinations were most likely tested by each of the techniques when using a variety of fuels under the condition of "Oxygen gas at 30 bar pressure". The economic analysis is based on analyzing the economics of carbon dioxide capture and storage and the amount of carbon dioxide emitted from power plants. Finally, with new developments, the capture and sequestration of CO2   could lead to.
Behavior and strength of reinforced reactive powder concrete beams under impact loadings
Authors: Fadhil Ibtihal , K. Kadhem Ayad , Salih Nisreen
Published: November 2018

Reactive powder concrete is a new concrete that has been used in recent years because of many advantages. The use of reactive powder concrete in structural elements such as beams provides higher compressive strength, higher modulus of elasticity, durable concrete and increasing the concrete ductility, so that the concrete has high resistance against tensile stress. The experimental tests of the reinforced concrete beams under the effects of impact loadings are investigated in this paper. The parameters being adopted in present paper are steel fiber of (1, 1.5 and 2%) by volume, dropped mass and height of drop. The reinforced concrete specimens were tested under impact load by one strike only. The test results indicate that the impact force increased when the compressive strength of concrete increased that when the steel fiber ratio becomes more and the deflection has become less.
Design and analysis of physical layer security aspects in MIMO-OFDM based WiMAX network
Authors: Bhattacharyya Budhaditya , Deb Ipsita , Sharma Nalini
Published: November 2018

The protocol 802.16 of the IEEE proposed a technology of wireless broadband called WiMAX which overcomes the limitations of other wireless technologies that came prior to WiMAX. WiMAX has acquired significant attention owing to its mobility support, longer trans-mission range and higher transmission rate. In order to ensure usability and reliability, a number of security concerns are required to be addressed in WiMAX. The first part of this work is to analyze the performance of a MIMO-OFDM based WiMAX under Rayleigh fading channel using SIMULINK environment under diverse encoding algorithms and adaptive modulation schemes in terms of throughput and bit-error-rates. The second objective being its performance analysis using various standard cryptographic algorithms such as Rivest-Shamir-Adleman (RSA), Data Encryption Standard (DES) and Advanced Encryption Standard (AES), which enhances the security and efficiency of a WiMAX networks.
Barriers and Drivers for Applying Fish Traceability System in Emerging Market
Authors: Rombe Elimawaty , Mubaraq Rahmat , Hadi Suryadi , Adriansyah Rizka , Vesakha Gatha
Published: November 2018

Fish traceability system provides more values for entities to improve their business processes. The philosophy of traceability is that the process is shared along the chain and promote visibility of quality. In this paper, the barriers and drivers are identified and the problem of fish traceability is defined. Five entities examples are analyzed using a critical success factors (CSFs) theoretical framework. The paper offers a framework for managers which provides the basis for developing a fish traceability system. The case analysis identifies different approaches to fish traceability, highlights the barriers include laws and regulations, coordination, cost, information and infrastructure. Meanwhile, the drivers of applying fish traceability system include seafood fraud risks, sustainability information, expanding market, consumer behavior, and efficiency of operations management. This paper contributes to provide dimensions which can be considered by fishery industry, programmers and government before they plan to build a traceability system.
Integrated-system to minimizing cyber harassment in kingdom of Saudi Arabia (KSA)
Authors: Abdullah Moafa Fahad , Ahmad Kamsuriah , Mugahed Al-Rahmi Waleed , Yahaya Noraffandy , Bin Kamin Yusri , Alamri Mahdi
Published: November 2018

The proposed system framework consists two main databases: Lexicon dictionary and Summarized previous cases, by depending on Senti-ment analysis and N-Gram algorithms to match the terms and documents. In the first branch, the judge opens the cyber case and therefore the system will highlight the technical terms automatically. Furthermore, the technical terms matched with Lexicon dictionary will be high-lighted. After that, the judge opens the highlighted terms (as links), and description page will be appeared. The description page contains details about the technical terms (definitions, explanations, examples, etc). On the other side, the second branch aims to retrieve the related legal cases (from the database) judged by courts in UK and KSA. The related cases are the most closed cases to the current legal case by inserting keywords based on the current case. The judge benefits from these cases through the judgment issued to give the fair judgment. N-gram algorithm is used to find the related cases because it has smart approach to expect the most closed document and texts. The system provides the judge with laws used in issuing the judgment in KSA and UK courts.
Categorizing online news articles using penguin search optimization algorithm
Authors: D Nithya , S Sivakumari
Published: November 2018

Online news is an emerging channel where the internet users can get news. Analyzing huge volume of online news articles is a challenging one, because online news articles are generated and updated time to time. Big data techniques are used to tackle this problem. In order to classify the news articles into different categories, an approach based on Evolving Fuzzy Systems(EFS) was used. It categories news articles based on the changes in the content of the corresponding articles. However, it has the problem in the selection of threshold value. Moreover Gaussian membership function is used in EFS that describes the closeness to the prototype. Sometimes it is hard to justify. So in this paper, a Penguins Search Optimization Algorithm(PeSOA) is introduced to optimize the pruning threshold value and a bell shaped fuzzy membership function is introduced to define the closeness to the prototype. The optimized pruning threshold is used in term filtering which prune the generated terms based on their frequencies of occurrence throughout the collection. Then the fuzzy rules are generated by EFS where bell shaped fuzzy membership function is used to define the closeness to the prototype. Based on the fuzzy rules the online news articles are categorized.
An improved strong key exposure resilient auditing for cloud storage auditing
Authors: Ahila R , Sivakumari Dr.
Published: November 2018

One of the most essential services of cloud computing is cloud storage. For cloud storage auditing, key exposure is a serious security problem which is solved by updating client secret keys regularly. However, this leads to local burdens to clients. A cloud source auditing with verifiable outsourcing of key updates paradigm was used to make the key updates as transparent for the client where Third Party Auditor (TPA) was played the role of authorized party. It holds only an encrypted version of client’s secret key. However, key exposure security problem is not fully solved by this scheme. So in this paper, improved strong key exposure resilient auditing is introduced to solve the key exposure security problem and improve the security of cloud storage. In the proposed paradigm, a novel key update technique is used where update message is created by TPA and it sends to the client. The client updates their signing secret key based on the update message and client’s private key. Moreover, public key is obtained from the client while updating a message which improves the security of cloud storage. Thus this scheme makes the malicious cloud unable to get the signing secret key in unexposed time periods.
Impact of climatic change on water resources in Huia river basin, China
Authors: Othman Alia Rawshan , Chunjua Zhao , Yihona Zhou , Ping Liu , Heryansyaha Arien , Nawaz Nadeem
Published: November 2018

Research on the impact of climate change on water resources has attracted the attention of academician and policy makers. This paper tends to analyze the impact of changes in air temperature and rainfall factors on the amount of water resources in the Huai River Basin from 1980 to 2014. Air temperature and rainfall data were collected from six meteorological stations. Hydrological and water resources evaluation data were collected from the Bengbu Hydrological Station in the Huai River Basin. Research findings revealed an increasing trend of average annual air temperature, with the highest increase of 0.293oC recorded at Bengbu in Anhui Province. The western part of the study area has shown a rising rainfall while the eastern part (the middle reaches of the Huai River) witnessed a declining rainfall. The rainfall in the Huai River Basin was significantly influenced by the natural fluctuations as the average rainfall in the study area was in a vaguely declining trend. This resulted in gradual decrease in the quantity of the Basin’s water resources due to decreasing rainfall and rising air temperature. Regression and sensitivity analyses were employed to develop a mathematical model between water resources quantity and changes in air temperature and rainfall. Based on regression analysis findings, changes in rainfall have a much bigger impact on its water resources quantity than changes in its air temperature.
A Study on the Decision-Making of Effective S/W Education based on Opinion Mining Analysis
Authors: Seo Ji-Hoon , Seo Ji-Hoon , Park Nam-Hun , Joo Kil-Hong
Published: November 2018

The Currently, along with the advent of the web 2.0 era, due to the continuous expansion of social media service infrastructures, the shares of conventional public opinion evaluation functions have been gradually shifting from the existing mass media to social media. This phe-nomenon is attributable to the two-way communication and convenience unique to social media and social media are now in charge of an axis of public opinion evaluation standards. In particular, since diverse interests conflict in education policies and countless conflicts of opinions occur in the process of setting up policy agendas, in establishing education policies, accurately analyzing reputations among the public, who are the targets of education policies, in order to set up effective policy agendas, is the most important issue. Therefore, in this study, the resultant values of huge unstructured data on the positive and negative reputations of past policy agendas related to the mandatory software education that has been organized as a regular curriculum of middle/high schools from 2018 in Korea, which have been addressed by the Ministry of Education, the Ministry of Science, ICT and Future Planning, and the Korea Foundation for the Advancement of Science and Creativity, felt and judged by the general public on social media such as blogs and Twitter and on online media including portal news were visualized through opinion mining analysis techniques to derive more effective software education related policy agendas. In addition, based on the foregoing, a Korean style software education system that fits circumstances was constructed and the system is expected to become an important measure that provides guidelines for setting mid/long-term road maps for the fostering of creative and convergent talented persons equipped with international competitiveness and software education in Korea.
Performing item-based recommendation for mining multi-source big data by considering various weighting parameters
Authors: Thillainayagam Venkatesan , Kunjithapatham Saravanan , Thirunavukarasu Ramkumar
Published: November 2018

In the context of big data, a recommendation system has been put forth as an efficient strategy for predicting the consumer’s pref-erences while rating items. Organizations that are functioning with multiple branches are in the imperative need for analyzing their multi-source big data to arrive novel decisions with respect to branch level and central level. In such circumstances, a multi-state business organi-zation would like to analyze their consumer preferences and enhance their decision-making activities based on the taste/preferences obtained from diversified data sources located in different places. One of the problems in current Item-based collaborative filtering approach is that users and their ratings have been considered uniformly while recording their preferences about target items. To improve the quality of rec-ommendations, the paper proposes various weighting strategies for arriving effective recommendation of items especially when the sources of data are multi-source in nature. For a multi-source data environment, the proposed strategies would be effective for validating the active user rating for a target item. To validate the novelty of the proposal, a Hadoop based big data eco-system with aid of Mahout has been con-structed and experimental investigations are carried out in a benchmark dataset.
Computerized power transformer monitoring based on internet of things
Authors: A H. Mohamad Auday , S. Mezaal Yaqeen , F. Abdulkareem Seevan
Published: November 2018

Distributed transformers are imperative equipment in power networks. Due to large amount of transformers distributed over a widespread area in power electric systems, the data acquirement and condition monitoring is essential concern. In spite of security and automation in plants, industrial environment is relatively critical for machines and humans. This study deals with a safety in industrial condition. A model has been designed to detect dangerous situations like breakdown that is the most essential parameter for occurring leakage current in substation and gas leakage based on faults data source file from distinguished sources. Reached outcome will be executed in IoT (Internet of Things) gateway design, to augment technical implementation with scalability. It consists of Node-MCU, node red server, mosquito server that serves as negotiator amid Node-MCU and node red server and Thingspeak IoT platform. Data processing has been completed at Thingspeak IoT platform so that the monitored quantity can be displayed frequently or at scheduled intervals of time. These processed results have been statistically further analyzed using SPSS software package.
Design a fuel cell based drive dc motor for an electric vehicle applications
Authors: M. T. Ibraheem Alnaib Ahmed , S. Sultan Nashwan , T. Mahmood Omar
Published: November 2018

The Applications of a Fuel cell (FC) in the field of the electric vehicle has realized wide popularity since the past few years because of the problem of relative increases in fossil fuel prices in addition to depletion of this fuel. The objective of this study is to design DC drivers based on DC-DC buck converter for separately excited DC motor as a traction motor used for an electric vehicle. This motor is fed by Polymer Electrolyte Membrane (PEM) FC as a renewable energy source. Many control strategies are implemented to produce the suitable gating signal for the buck converter and get the best motor operation response which where Proportional Integral (PI) controller, Fuzzy Logic (FL) controller, and FL based self-tuning PI controller. The proposed FC power system is modeled and simulated using Matlab-Simulink and Fuzzy toolbox. The performance and accuracy of the proposed algorithm have been investigated in different situations. The simulation results showed that the speed response of the DC motor controlled by the FL based self-tuning PI controller had improved the performance (overshoot, rising time, settling time and steady-state error) when compared to the typical PI controller, and FL controller.
Development of computer-based interactive multimedia : study on learning in elementary education
Authors: Rachmadtullah Reza , MS Zulela , Syarif Sumantri Mohamad
Published: November 2018

Computer-based learning media is the use of a computer to help present learning materials to students, monitor the progress of learning or choose additional learning materials in accordance with student learning needs individually or is a form of application and use of computers that are applied in student learning directly to convey the content of the lesson, providing student learning exercises. The purpose of this study is the development of interactive multimedia computer-based on the subject of civic education in elementary education. This research method using an approach of research and development with stages: requirement analysis, design, and validation expert. The results of this study found that interactive multimedia applications based on computer valid and suitable for use in teaching and learning activities in primary schools.
GALO:A New Intelligent Task Scheduling Algorithm in Cloud Computing Environment
Authors: K. Jasim Mohammad Omer
Published: November 2018

Cloud communication technology is Internet-based computing, where shared resources, software, information, are provided to computers and devices on-demand. They guarantee a way to share distributed resources and services that belong to different organizations through virtualization technology. Cloud has announced a modern idea by deploying one application which offers variety and a lot of services to a number of cloud-users at the same time, however, it suffers from scheduling and workload problems. This paper proposed a cloud computing task scheduling algorithm based on greedy algorithm and Antlion Optimizer algorithm. The main goal of this algorithm is to reduce the make-span and the total cost of the tasks and execution time. This paper suggested the objective share-search function of the make-span and costs of the tasks in order to improve the initialization of the pheromone, the greedy algorithm and the pheromone update method in the antlion algorithm. Also, this context illustrates the analytical study between almost used scheduling algorithms and the proposed algorithm. Theoretically, the proposed algorithm provides a more flexible and guarantee a solution to solve the problem of task scheduling in the cloud computing environment.
An experimental study on flexural strengthening of RC beams using CFRP sheets
Authors: Murad Yasmin
Published: November 2018

The use of carbon fiber reinforced polymer (CFRP) sheets is becoming a widely accepted solution for strengthening and repairing rein-forced concrete (RC) structures. To date, the behavior of RC beams, strengthened with 60˚ and 45˚ inclined CFRP sheets, has not clearly explained. An experimental program is proposed in this paper to investigate the flexural behavior of RC beams strengthened with CFRP sheets. CFRP sheets were epoxy bonded to the tension face to enhance the flexural strength of beams inducing different orientation angles of 0˚, 45˚, 60˚ and 90˚ with the beam longitudinal axis. The study shows that strengthening RC beams with CFRP sheets is highly influenced by the orientation angle of the sheets. The orientation angle plays a key role in changing the crack pattern and hence the failure mode. The influence of CFRP sheets was adequate on increasing the flexural strength of RC beams but the ductility of the beams was reduced. The best performance was obtained when strengthening RC beam obliquely using 45˚ inclined CFRP sheets where the specimen experienced additional deflection and strength of 56% and 12% respectively and the reduction in its ductility was the least. It is recom-mended to strengthen RC beams, which are weak in flexure, using 45˚ inclined CFRP sheets.
Design fuzzy neural petri net controller for trajectory tracking control of mobile robot
Authors: L. Saleh Ameer , J. Mohammed Mohammed , Sabri Kadhim Ahmed , M. Raadthy Hana’a , J. Mohammed Hesham
Published: November 2018

In this paper, a Fuzzy Neural Petri Net (FNPN) controller has been designed established on Particle Swarm Optimization (PSO) for controlling the path tracking of Wheeled Mobile Robot (WMR). The path planning controller problem has been solved using two FNPN controllers to get the desired velocity and azimuth. The PSO method has used to detection the optimal values parameters of FNPN controllers. The overall models of wheeled mobile robot for path tracking control created on PSO algorithm are implemented in Simulink-Matlab. Simulation outcomes demonstrate the suggested FNPN controllers is more effectiveness and has good dynamic performance than the conventional methods.
A New Hamiltonian Chaotic System with Coexisting Chaotic Orbits and its Dynamical Analysis
Authors: Vaidyanathan Sundarapandian , Sambas Aceng , Zhang Sen , Mohamed Mohamad Afendee , Mamat Mustafa
Published: November 2018

Hamiltonian chaotic systems are conservative chaotic systems which arise in many applications in Classical Mechanics. A famous Hamiltonian chaotic system is the H´enon-Heiles system (1964), which was modeled by H´enon and Heiles, describing the nonlinear motion of a star around a galactic centre with the motion restricted to a plane. In this research work, by modifying the dynamics of the H´enon-Heiles system (1964), we obtain a new Hamiltonian chaotic system with coexisting chaotic orbits. We describe the dynamical properties of the new Hamiltonian chaotic system.
Genomics big data hybrid depositories architecture to unlock precision medicine: a conceptual framework
Authors: H. Mohamad Ummul , T. Ijab Mohamad , A. Kadir Rabiah
Published: November 2018

As the genome sequencing cost becomes more affordable, genomics studies are extensively carried out to empower the ultimate healthcare goal which is the precision medicine. By tailoring each individual medical treatment through precision medicine, it will potentially lead to nearly zero occurrence of the drugs side effects and treatment complications. Unfortunately, the complexity of the genomics data has been one of the bottlenecks that deter the advances of healthcare practices towards precision medicine. Therefore, based on the extensive literature review on the data driven genomics challenges towards precision medicine, this paper proposes two new contributions to the field; the conceptual framework for the genomics-based precision medicine and the architectural design for the development of hybrid depositories as the initial step to bridge the gap towards precision medicine. The genomics big data hybrid depositories architecture design is composed of few components; storage layer and service layer interconnected system such as visualization, data protection modeling, event processing engine and decision support, to carry out their purpose of merging the genomics data with the healthcare data.
Theoretical study to determine the proper injection system for upgrading fuel system of diesel engine om357 to common rail system
Authors: Pourdarbani Razieh , Aminfar Ramin
Published: November 2018

In this research, we tried to investigate all the fuel injection systems of diesel engines in order to select the most suitable fuel injection system for the OM357 diesel engine to achieve the highest efficiency, maximize output torque and reduce emissions and even reduce fuel consumption. The prevailing strategy for this study was to investigate the effect of injection pressure changes, injection timing and multi-stage injection. By comparing the engines equipped with common rail injection system, the proposed injector for engine OM357 is solenoid, due to the cost of this type of injector, MAP and controller (ECU). It is clear that this will not be possible only with the optimization of the injection system, and so other systems that influence engine performance such as the engine's respiratory system and combustion chamber shape, etc. should also be optimized.
Ant Colony Optimization Based Test Case Selection for Component Based Software
Authors: Palak Palak , Gulia Preeti
Published: November 2018

Reusability is one of the prime aspects of high quality software. Based on the concept of reusing the previous effort, Component based software engineering is a widely evolving software development paradigm that sets new challenges for testing team. The third party components need to be selected and assembled in development framework. Components interact with each other for various services and the interface between them can prove as the point of failure. As exhaustive testing of all interaction sequences is not possible, there is need for automated test case reduction and prioritization techniques to increase the efficiency of testing process. Ant Colony Optimization (ACO), a nature inspired optimization technique has wide range of applications in the field of software engineering. This paper presents an ACO based technique for test case selection for interaction testing of reusable software components.
Study on soliton pulse and its characteristics for fiber optic communication
Authors: Bhuvaneshwari M. , ShaziaHasan Dr. , Abdul Razak Dr.
Published: November 2018

From time immemorial communication is an essential need for human beings. Communication happens through the channel. Among many channels for communication, Fiber is a vital wired channel that has infinite bandwidth and high noise immunity against electromagnetic interference. The phenomenon of dispersion is the major problem for high bit rate and long-haul optical communication systems. An easy solution to this problem is optical Solitons - Pulses that preserve their shape over long distances. Soliton based optical communication systems establish over distances of several thousands of kilometers with considerable information carrying capacity by using optical amplifiers.
Improve secure based multi-path routing to mitigate the intrusion endurance in heterogeneous wireless sensor networks
Authors: G. Murugan Dr.
Published: November 2018

Wireless Sensor Networks (WSNs) have many potential applications. Multi-path routing is widely used in WSN to achieve reliability and perform Fault Tolerance. Multi-path routing determines and assigns multiple routes from a given sensor node to the sink. The transmission of data among the multi-path brings path redundancy, which increases the reliability and reduces the network congestion. In this research work, a dynamic redundancy management algorithm is proposed. To exploit multi-path routing in order to process the user request with existence of defective and malicious nodes. The objective of this work is to analyze the trade-off between energy consumption and Quality of Service (QoS) gain in security and reliability in order to increase the lifetime. The optimized redundancy level of multipath routing is determined dynamically which is used to improve the query response while extending the network lifetime and also for detecting intrusions and send alert to the system through Intrusion Detection System (IDS). Then, a voting-based distributed Intrusion Detection (ID) algorithm is proposed to detect and remove malicious nodes in a sensor network. The malicious node has been determined through number of voters using voting-based distributed ID algorithm. The efficient redundancy management of a clustered Heterogeneous Wireless Sensor Network (HWSN) is to increase the network lifetime in the presence of unreliable and malicious nodes. Therefore, the reliability improved dramatically.
Adopting pade approximation for first order plus dead time models for blending process
Authors: Kirit Mehta Avani , Swarnalatha R.
Published: November 2018

Dead-time is common to real time processes and occurs when the process variable doesn’t acknowledge to any changes in the set point. Existence of dead time in the systems poses a challenge to control and stabilize, especially in a control feedback loop. Padé approximation provides a determinate approximation of the dead time in the continuous process systems, which can be utilized in the further simulations of equivalent First Order plus Dead Time Models. However, the standard Padé approximation with the same numerator- denominator derivative power, exhibits a jolt at time t=0. This gives an inaccurate approximation of the dead time. To avoid this phenomenon, increasing orders of Padé approximation is applied. In the following manuscript, equivalent First Order plus Dead-Time models of two blending systems of orders four and seven are analysed for the same. As the orders of the Padé approximation increases, the accuracy of the response also increases. The oscillations are increased on a much smaller scale rather than having one big dip in the negative region (as observed in the first few orders of Padé approximation), and the approximation tries to synchronize with the desired response curve in the positive region. All the simulations are done in MATLAB.
Map reduce technique for parallel-automata analysis of large scale rainfall data
Authors: Sunitha Manepalli Tulasi , Chamakuzhi Subramanian Dr.
Published: November 2018

Vast scale rainfall information assumes an imperative part in farming field thus early expectation of rainfall is important for the better finan-cial development of a nation. Rainfall expectation is an expert among the most troublesome issue far and wide in a year back. This data is generally secured in the unstructured course of action. Along these, tremendous measure of data has been accumulated and archived. Thus, storage and handling of such tremendous information for accurate rainfall forecast are a major test. Big Data innovation like Hadoop have developed to fathom the difficulties and issues of huge information utilizing distributed computing. Till date few examinations have been accounted for on the preparing of vast scale rainfall information utilizing MapReduce. In this paper, the huge scale rainfall information is anticipated by utilizing MapReduce system which plays out the capacities which are required and diminishes the task to get proficient ar-rangements through taking the information and isolating into smaller tasks. At that point, the three Regression Automata (RA) algorithms such as Linear Regression automata, Support Vector Regression Automata and Logistic Regression Automata. are utilized to forecast the future esteem of large scale rainfall data. The proposed framework serves as a tool that takes in the rainfall information from diminished information as input and predicts the future rainfall. The outcomes obviously demonstrate that the all the three RA models can anticipate the rainfall productively in different terms, such as, error rate, coefficients and mean square error.
Spam classification by using association rule algorithm based on segmentation
Authors: Suhail Najam Shahad , Hashim AL-Saedi Karim
Published: November 2018

Email is a most widespread and active communication technique. The major purpose behind the success of email is the vast availability, facility of utilize, and affordability. Therefore this technology has be a susceptible to malicious attacks; Email is the most frequently applied delivery technique for malware. E-mail spam is one of the major problems of the Internet today, and get financial harm to companies and individual users is uncomfortable. Spam mail can be harmful as they may include malware & links to phishing Web sites. So necessary to divide spam from mail messages to a separate folder. In this paper utilize one of datamining mechanism is association rule algorithm.in association rule; pattern discovered based on relationship between item-sets. The dataset utilized in proposed system is Enron dataset is divided into two parts: spam and non-spam. For extract features from dataset used Term Frequency Invers Term Frequency (TFIDF) method. For reduce dimensionality of feature space use Information Gain (IG) method.
Multi-objective optimal power flow in the presence of intermittent renewable energy sources
Authors: Surender Reddy S.
Published: November 2018

This paper solves a multi-objective optimal power flow (MO-OPF) problem in a wind-thermal power system. Here, the power output from the wind energy generator (WEG) is considered as the schedulable, therefore the wind power penetration limits can be determined by the system operator. The stochastic behavior of wind power and wind speed is modeled using the Weibull probability density function. In this paper, three objective functions i.e., total generation cost, transmission losses and voltage stability enhancement index are selected. The total generation cost minimization function includes the cost of power produced by the thermal and WEGs, costs due to over-estimation and the under-estimation of available wind power. Here, the MO-OPF problems are solved using the multi-objective glowworm swarm optimiza-tion (MO-GSO) algorithm. The proposed optimization problem is solved on a modified IEEE 30 bus system with two wind farms located at two different buses in the system.
Design and construction of foundations on wetlands
Authors: V. Kulikov Aleksandr
Published: November 2018

The paper reports the excess pore pressures effect (that arises in shrinkable peat foundation) on its own physical mechanical characteristics. The authors suggested the upgraded assembly scheme of the soil pressure sensors (load cells). The laboratory research of the water-saturated macro peat sample was made in compression conditions with “ground lock” and modeling of the experiment with Plaxis 2D software system. The unit deformation-pressure graph and excessive pore pressure against time in different steps of load graph were built and based on this findings.
Design of Falling-Edge Triggered T Flip-Flop based on Quantum-Dot Cellular Automata
Authors: Won You Young , Cheol Jeon Jun
Published: November 2018

A T flip-flop, which is an essential element of a counter, has been proposed as various types of quantum-dot cellular automata (QCA) circuits, but practicality is not expected because there is no clock in circuit. A T flip-flop is a circuit which outputs value changing in synchronization with the rising or falling edge of a clock. In a QCA circuit, a clock pulse generator outputs the time at which the clock changes and it is required for the circuit. In this paper, we propose a falling-edge triggered T flip-flop based on QCA.
The Influence of Celebrity Endorsement on Consumer’s Attitude: A Study Case of Smartphone Brands in Jakarta, Indonesia
Authors: Melati Ina , Indira Budiwan Teddy , Sarjono Haryadi
Published: November 2018

This study analyzes the effect of celebrity endorsement on consumer’s attitude towards social media advertising as well as the effect of consumer’s attitude towards social media advertising on consumer’s purchase intention of smartphone brands in Jakarta. A survey was conducted on 404 university students in Bina Nusantara University. After conducting exploratory factor analysis (EFA) and multiple-regression analysis, the result indicates that consumer’s attitude towards social media advertising is positively affected by 4 factors: celebrity trustworthiness, celebrity liking, celebrity match-up with product and celebrity familiarity. Attitude towards social media advertising also has a positive impact on consumer’s purchase intention of smartphone brands in Jakarta.
An Improved Page Replacement Algorithm Using Block Retrieval of Pages
Authors: Prasad Arya Govind , Prasad Devendra , Singh Rana Sandeep
Published: November 2018

The computer programmer write programming codes of any length without keeping in mind the available primary memory. This is possible if we use the concept of virtual memory. As the name suggests, virtual memory is a concept of executing a programming code of any size even having a primary memory of smaller size than the size of program to be executed. The virtual memory can be implemented using the concept of paging. The operating system allocates a number of memory frames to each program while loading into the memory. The programming code is equally divided into pages of same size as frame size. The size of pages and memory frames are retained equal for the better utilization of the memory. During the execution of program, every process is allocated limited number of memory frames; hence there is  a need of page replacements. To overcome this limitation, a number of page replacement techniques had suggested by the researchers. In this paper, we have proposed an modified page replacement technique, which is based on the concept of block reading of pages from the secondary storage. The disc access is very slow as compared to the access from primary memory. Whenever there is a page fault, the required page is retrived from the secondary storage. The numerous page faults increase the execution time of process. In the proposed methodology, a number of pages, which is equal to the allotted memory frames, are read every time when there is a page fault instead of reading a single page at a time. If a block of pages has fetched from secondary storage, it will definitely increases the possibilities of page hit and as a result, it will improve the hit ratio for the processes.