International Journal of Systems Applications, Engineering & Development

ISSN: 2074-1308
Volume 11, 2017

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Volume 11, 2017

Title of the Paper: Recent Developments in Social Media Mining


Authors: Peter Wlodarczak, Jeffrey Soar, Mustafa Ally

Pages: 364-370

Abstract: Mining the Web has become a very active area of research. It has gained in importance not only for academia but also for companies since users use the Web to share opinions, ideas and concerns on many subjects and extracting this information can reveal peoples motivations, behavioral patterns and intents. Companies have realized the potential of Web mining for detecting new trends, for getting user opinions on their products and services and for finding new business opportunities. In recent years Social Media such as Facebook and Twitter has been used since it facilitated the publishing and distribution of user generated content. For the first time in history we have now an unprecedented amount of opinionated data that is publicly accessible from anywhere in the world. Analyzing Social Media has been used among other for targeted marketing, opinion mining and has the potential to change the way companies do business. However, Social Media mining is challenging since it has to extract contextual information from human generated content. It has to analyze the meaning, syntax, sentiment polarity of natural language. Social Media mining is in the area of cognitive computing. Cognitive computing systems differ from traditional computing systems since they cannot use preconfigured rules and programs. That is why often Machine Learning techniques are used for Social Media analysis. They have the capability to learn from data and adapt to new problems and domains. This paper describes the state of the art techniques that have been used in recent research and proposes and approach for Social Media mining based on Machine Learning methods.

Title of the Paper: Helicopter Pitch Control System


Authors: Nenad Popovich, Christian R. Bonaobra

Pages: 357-363

Abstract: The helicopter was subjected to a few different optimization methods such as Root Locus, Ziegler-Nichols Tuning method, Systematic Trial Tuning method and Integral Absolute Error criteria. These are essential to find the “optimal’ gain(s) of a controller. This paper is focused on creating a system that can provide reliable pitch altitude control while being cost effective under outside disturbances. In order to have outstanding controller for our helicopter pitch control system, controller needs to have a stable response, low overshoot, together with a fast response, which means a quick settling time. We also kept in mind that we need to protect its mechanical components.

Title of the Paper: Survival Analysis of People with Cardiac Problems in a Simulated Earthquake Environment


Authors: W. Velasquez, A. Munoz-Arcentales, M. Chalen T., Joaquın Salvachua

Pages: 352-356

Abstract: This paper states the development of a machine learning model capable of classifying whether a person who has cardiac problems is able to escape from a building if it is affected by an earthquake. The data used to train the model was obtained from a simulation which considered some parameters like earthquake magnitude, BMI, cardiovascular disease, person location within the building, and current evacuation routes. The result of this implementation presents a model able to determine whether a person inside the building could or could not go out of it depending on the parameters previously described, for achieving this goal the use of supervised learning algorithms like KNN and Decision Tree was needed. Also, the case study presents two scenarios, the first scenario presents an evaluation metric at normal walking speed and the second at fast walking speed for a person to escape from an affected building.

Title of the Paper: Nonlinear Tracking Control of an Underactuated Overhead Crane


Authors: Plamen Petrov

Pages: 348-351

Abstract: This paper proposes a trajectory tracking controller for a two degree of freedom (2-DOF) overhead crane. First, a dynamic model of the crane suitable for feedback control is developed using robotic methodology. A desired trajectory for the trolley motion is generated using a reference differential equation. The proposed control law is based on collocated partial feedback linearization combined with trajectory tracking and linear feedback control which achieves local asymptotic stability of the closed-loop system. Simulation results illustrate the effectiveness of the proposed controller.

Title of the Paper: Fan-Shaped IIR Filters Based on Analog Prototypes


Authors: Radu Matei

Pages: 342-347

Abstract: An analytical design method is proposed for 2D IIR fan-shaped filters, using frequency transformations. The design starts from an analog prototype filter with specified parameters and a factored transfer function. Applying adequate frequency transformations, the desired 2D filters are directly obtained in matrix form. The approach is mainly analytical but also uses numerical approximations and is simple, efficient and versatile. Several design examples of fan filters starting from imposed specifications are provided.

Title of the Paper: Research on Control Technology of Multi-Level Battery Cascade Power Supply for High-Voltage Large-Current Charging


Authors: Kun Liu, Ailong Fan, Rongyao Fu, Yinghui Gao, Yaohong Sun, Ping Yan

Pages: 338-341

Abstract: As a high-voltage large-current rapid charging technology, the multi-level battery cascade charging technology has been gradually used in the charging of pulse power equipment, especially the large value capacitor. The control technology of the multi-level battery cascade charging power supply becomes the key to realize the charging effectively. This paper introduced a ten-level battery cascade power supply and researched the control technology, including the design of the optical fiber communication system and optical fiber drive circuit of cascade switches, the research of sequential control method, the design of voltage and current detection circuits and various faults synthetize circuits, the research of voltage feedback control and the realization of switchover charging method used in the multi-group loads. In the experiments of the ten-level battery cascade charging power supply, the average charging power is 92 kJ/s. The waveforms of the experiment results proved that the control system can work effectively.

Title of the Paper: Improve Customer Experience Based on Recommendation and Detection of a Pattern Change in Eating Habits


Authors: W. Velasquez, Andres Munoz-Arcentales, Andreina Montoya, M. Chalen

Pages: 333-337

Abstract: This paper states a new approach for improving the consumer experience through the use of gaph database in order to extract the consumer eating habits and the pattern change from a large amount of anonimyzed data. For achieving that, a web system was developed for making recipes recommendations using recommender techniques, inference, graph database, multimedia visualization and SMS payment, for offering to the user an improve customer experience.

Title of the Paper: Realization of All-Optical Sequential Circuit Using Mach Zehnder Interferometer


Authors: Umesh Kumar, Ashish Mishra

Pages: 328-332

Abstract: In this paper, realization of inverter latch is proposed through an all-optical cascadable tri-state buffer as a sequential circuit which is designed with Mach-Zehnder Interferometer (MZI). This sequential circuit is assembled based on electro-optic effect and is verified by simulation. The applications of tri-state buffer for optical data transfer and the advantage of using this circuit as an octal tri state buffer over the currently existing ICs has been explained.

Title of the Paper: A Software System for Automatic Reaction to Network Anomalies and in Real Time Data Capturing Necessary for Investigation of Digital Forensics


Authors: Mladen Vukašinović

Pages: 320-327

Abstract: Digital forensics has a technical component, and tools in the form of appropriate software and hardware, but also a legal component aimed at respecting certain principles, rules and methodologies. There is a number of commercial tools in the market and the selection of appropriate tools depends on their usability in specific cases. This paper proposes a software tool that could be installed on the computer system. It would automatically respond to anomalies in the system and collect digital data. Such data would be stored and later used as digital forensics evidence. This paper presents the experimental results of a simulation of the network intrusion using Back Track to host and disclosure of that host using Wireshark and Netflow Analyzer.

Title of the Paper: A Simple BJT Based Circuit for Generating Chaotic Oscillations and Double-Scroll Attractors


Authors: Umesh Kumar, Anshuman Chhabra

Pages: 316-319

Abstract: A simple BJT based circuit for generating chaotic waveforms is proposed in this paper. The simple circuit consisting of two BJTs, two diodes, nine resistors, two capacitors and an inductor, is based on Chua’s circuit. The circuit is observed to exhibit the chaotic Double-Scroll attractor pattern as well as non-periodic oscillating current and voltage waveforms during SPICE simulations. The working of the circuit is analyzed and mathematical formalisms are developed to explain the chaotic phenomena so observed. It is seen that the chaotic waveforms are generated as a result of a nonlinear relationship between the current through the inductor and the voltages across the capacitors. These are mathematically modeled as a system of nonlinear differential equations and are presented in the paper along with the observations obtained.

Title of the Paper: Robust Speech Enhancement Based on Singular Value Decomposition and an Efficient Threshold


Authors: Ajgou Riadh, Sbaa Salim, Guendir Said, Guettal Lemya

Pages: 307-315

Abstract: In this paper, an approved method is introduced for speech enhancement corrupted by additive white Gaussian noise. Our approach is based on filtering the singular value which is obtained from singular value decomposition (SVD) using HANKEL matrix . The efficiency of the proposed methods is its efficient threshold algorithm that maintains the singular value corresponding to original speech signal and also its intelligibility enhancement by using Savitzky-Golay (SG) filter that reduce musical noise, which is usually present after noise reduction. At first, the algorithm extracts the maximum of singular value (SV) of each HANKEL matrix, so that a SV vector will be obtained representing speech signal energy. We extract the maximum and the minimum of SV vector to estimate the threshold. After filtering the SV, the inverse operation is performed to reconstruct the new Hankel matrices and the enhanced signal. This method will be evaluated in segmental SNR and Perceptual Evaluation of Speech Quality scores measure (PESQ), which led to remarkable results in comparing with traditional methods.

Title of the Paper: Peptide Poset Mining for Antiviral Target Regions in Human Rhinovirus


Authors: Uddalak Mitra

Pages: 301-306

Abstract: Human Rhinovirus(HRV) causes benign upper respiratory disease and exacerbation of infection like asthma, often leading to more severe chronic pulmonary illness specially in young children and immune-suppressed people. Precise identification of antiviral target regions is a necessity for effective drug design, but that falls through by biological methods for high level of diversity of the region. Moreover, in vitro bioculture processes are bounded by fixed time quanta. We observe that intervals of successive occurrences of each amino acid in a peptide sequence form a poset. Entropies of posets of individual amino acids and of their combinations represent sequence feature. We propose a computational method, Peptide Pattern Mining(PPM), for specific feature discovery in a polypeptide sequence. Experiments on several serotype sequences of HRV reveals that PPM is capable to isolate the replication(P2) and assembly(P3) regions of the pathogen. The region VP4 has high potential for next generation pan-serotype HRV vaccine for its more conserveness over VP1, but it is often untraceable by computational methods due to its small length. Our method precisely identifies VP4.

Title of the Paper: Detection of Defects Using Open-Ended Coaxial Probe


Authors: H. Amar, H. Ghodbane, M. Amir, Z. Guezoui, M. Zergoug, S. Azzi

Pages: 297-300

Abstract: This paper presents a numerical simulation of an open-ended coaxial sensor using electromagnetic simulation software HFSS (High Frequency Structure Simulation) for cracks detection in surface of conducting metals. This sensor is based on near field microwave techniques. The detection is determinate by the variations induced by cracking resonance frequency for non-descriptive control (NDT). The simulation is established for a frequency of 24 GHz without charge. We have characterized this sensor using Ansoft-HFSS software for 3D Ansoft Designer structures. The representation of all the basic elements in the structure is called "MESH". The software calculates a solution at some positions of the MESH and then reconstitutes a global solution in matrix form. This sensor is able to detect defects in the order of μm and surface depths of an aluminum plate used for deferring depth value and deferring shape, Measuring electromagnetic properties (Complex permeability, complex permittivity, reflection coefficients, Etc.) for the evaluation of materials.

Title of the Paper: Design and Implementation of a Single Phase SPWM Inverter Based Microcontroller for Wind Energy Conversion Systems


Authors: Abdel-Salam Shaaban, Jean Thomas, Ramadan Mostafa

Pages: 291-296

Abstract: The designed inverter in this paper describes is working by sinusoidal pulse width modulation technique for small wind gen-eration. SPWM technique is used as a switching pulse for turning on and off MOSFET's/IGBT's to generate an alternating current wave-form at the output of an inverter circuit. This inverter based PIC18f4431 microcontroller that use to induce a true sine waveform for conformity with loads. The use of this microcontroller yields enhanced operations, fewer system components, lower system cost and increased efficiency. The designed inverter is examined in practice on many AC loads and is necessarily concentrated upon low power electronic applications like a lamps and a fan etc. the enhanced model can improve the inverter output waveform and reduce a total harmonic distortion in remarkable way. The finished design is simulated in Proteus and Simulink software to ensure output results which is verified in the laboratory.

Title of the Paper: Implementation of Enhanced Shortest Path Algorithm for Passively Localized Robot Mobile Robot for Warehouse Automation (MRWA)


Authors: Hasan Habib, Saad Waseem, Abdul Hannan Ghafoor, A. Waqar

Pages: 284-290

Abstract: Based on a unique approach of RFID based navigation and search algorithm, Mobile Robot is designed for warehouse automation, apart from robot complete system comprised of mobile robots and a control system is implemented. To move and deliver racks from one place of warehouse to another in an efficient and effective manner. The control system assigns the task to the Mobile Robot from a remote Server Room. The Robot navigates its way through a grid system. Advance techniques are studied and modified one is used for making robot to follow shortest path with great accuracy.

Title of the Paper: A Novel Analog Circuit Design for Maximum Power Point Tracking of Photovoltaic Panels


Authors: Nesrine Mhiri, Abdulrahman Alahdal, Hamza Ghulman, Anis Ammous

Pages: 277-283

Abstract: A new analog technique is proposed in order to track the Maximum Power Point (MPP) of PV panels. The proposed technique uses the well-known simple functions of electronic circuits. The proposed technique is validated by applying it to Boost based off Grid PV system. The simulation of the PV system was done on the circuit oriented simulator Proteus-ISIS. A good efficiency of the analog technique (more than 98%) was registered. The variation of irradiations was introduced in order to study the robustness of the proposed analog MPPT technique.

Title of the Paper: Developing a Healthcare Knowledge-Based Framework to Enhance the Productivity of the Operations of Private Hospitals


Authors: A. Iglesia, M. Al-Qassimi, S. Abouali, N. Alqarni, B. Mazouni, A. Waboi, Z. Araci, A. Al-Ashaab

Pages: 270-276

Abstract: Recently, private hospitals, especially in the UAE, are expected to offer a comfort equivalent to a 5-star-hotel for their patients. Running such a hospital effectively and sustaining it in the competitive market become a struggle. In order to achieve patient satisfaction, private healthcare organisations should improve their service offering by enhancing the quality of their main managerial operations. This could be possible with a knowledge-based framework that represents the good practices of successful organisations’ main managerial operations. The aim of this paper is to present the development of such a framework, and its validation by an expert judgement in a private hospital in the UAE. Data for this research was collected with a semi-structured questionnaire from 13 hospitals across Europe and Saudi Arabia. Results were analysed and evaluated in order to develop the knowledge-based framework. Findings showed that having a knowledge-based framework helps organisations with identifying the gaps in their current operations management and addressing these gaps by applying the proposed framework.

Title of the Paper: Risk Evaluation of Dairy Products Manufacturing Processes Using a Set of Connected Fuzzy Inference Systems


Authors: Dayo Stephen Ogunyale, Rene V. Mayorga

Pages: 260-269

Abstract: The objectives of this work are to develop an intelligent system capable of analyzing and evaluating risks in dairy products manufacturing systems. Contaminations from the dairy products and raw milk have contributed to different hazardous Health-related dilemmas around the globe. Having adequate systems in place to prevent these issues is paramount, as dairy products are widely consumed for its nutrition benefit reasons. These benefits can result in catastrophic impacts as a result of failures and unmitigated risk during the industrial processing, thus, the need for proper studying of these failures in dairy production systems is inevitable. Analysing risks associated with dairy products manufacturing help in identifying each failure at every stage of the production. The dairy products manufacturing system risks are classified into four categories namely; Physical, Biological, Chemical, and Environmental risk, which gave a distinctive analysis of the dairy manufacturing processes. Here, a set of five well connected Mamdani Fuzzy Inference System (FIS) models are proposed to solve these dilemmas. The first stage of the study involved gathering data to identify the failure modes using data from operation failures, root-cause analysis log, consumer feedbacks, and the expert’s opinions. These data were used to define the membership functions for the first four FISs, with the expert’s knowledge and opinions. The output of this first four FISs are then fed into the final FIS to evaluate the risk level of the manufacturing system. The RPN criteria used are occurrences, severity, and detectability, which serve as the fuzzy inputs. Each risk for the failures is evaluated for physical, biological, chemical, and environmental risk, with biological risk contributing the highest risk to the consumers due to the microorganisms.

Title of the Paper: Wideband Microwave Circular Polarization Array Antenna with Orthogonal Arrangement of Three-Element Plane Antennas


Authors: Yumi Takizawa, Atsushi Fukasawa

Pages: 252-259

Abstract: This paper presents novel configuration of wideband microwave circular polarization antenna. This array antenna is composed of four units of three elements plane antennas. This unit antenna is composed of three circular elements of feed and reactance elements on a ground plane. The unit antenna is composed of a feed and a reactance elements on a ground element. The feed element is made of a disc truncated at both sides to separate generation of higher and lower frequencies (fH and fL), Four units of the above antenna are applied to the orthogonal array antennas. Two types of spatial arrangements with four unit antennas are given with individual routing wire circuits. Wideband characteristics of circular polarization are achieved extremely wide bandwidth 10% compared to 2.2 ~ 2.4 % bandwidth by conventional parallel arrangements. This result was brought by the original configuration of the unit antenna with three elements.

Title of the Paper: The Decision Algorithm Selection for Ensuring the Quality Assurance of the Components of the Multi-Version Execution Environment


Authors: Igor Kovalev, Vasiliy Losev, Mikhail Saramud, Mariam Petrosyan

Pages: 243-251

Abstract: The article suggests a selection technique for optimal voting algorithm for the decision block of the multi-version execution environment. It allows you to choose an algorithm that guarantees the quality characteristics of the developed component. Different decision-making algorithms have their own strengths and weaknesses: some are more resistant to related faults, but they do not work adequately with a large percentage of "inaccuracies," while others, on the contrary, are resistant to both "inaccuracies" and relatively unreliable versions, but they are mistaken for each related error, etc. Therefore it is necessary to check all of the algorithms in an environment simulating the characteristics of the system under development. Thus, we get the characteristics of the quality of the algorithm in conditions exactly the same, that it will work in our system. The existent algorithms of a decision making in multi-version execution environments are described in the article. In addition, the own modifications of existing voting algorithms and t / (n-1) algorithm are suggest by authors. The software implementation of the simulation environment that implements simulations of versions with specified characteristics and proposed modified algorithms is considered. Given the characteristics of the system, the environment makes it possible to obtain the quality characteristics of all implemented decision algorithms. If, by results of modeling, there exists an unambiguously superior algorithm, the system specifies it explicitly, if there is no such algorithm, then, the developer is provided with numerical and graphical simulation results for self-selection. The results of the simulation are considered; moreover, the dependence of the reliability indicators of the system on its input parameters is shown. The comparative analysis of various decision algorithms is made basing on simulation results.

Title of the Paper: Optimal Hydropower Production for Xin’anjiang Hydropower Station Using Future Scenarios


Authors: Muhammad Zaman, Shouqi Yuan, Junping Liu, Muhammad Imran Nawaz, Jinghong Wan, Yangfan Li

Pages: 237-242

Abstract: This study integrated a mathematical model with particle swarm optimization technique to study the climate change impact on hydropower generation and to get maximum benefits. Change factor downscaling method and Arc SWAT hydrological model have been used to downscale future scenarios and for the simulation of past and future stream flows, respectively. Moreover, Particle Swarm Optimization (PSO) technique has been applied to the past and future water flows to get the maximum hydropower production. The results revealed that the future hydropower generation is more than the past generation. Results depicted that with the allocation of water optimally, hydropower generation increased in the future with the application of the proposed model.

Title of the Paper: Generating and Estimating Nonverbal Alphabets for Situated and Multimodal Communications


Authors: Serhii Hamotskyi, Sergii Stirenko, Yuri Gordienko, Anis Rojbi

Pages: 232-236

Abstract: In this paper, we discuss the formalized approach for generating and estimating symbols (and alphabets), which can be communicated by the wide range of non-verbal means based on specific user requirements (medium, priorities, type of information that needs to be conveyed). The short characterization of basic terms and parameters of such symbols (and alphabets) with approaches to generate them are given. Then the framework, experimental setup, and some machine learning methods to estimate usefulness and effectiveness of the nonverbal alphabets and systems are presented. The previous results demonstrate that usage of multimodal data sources (like wearable accelerometer, heart monitor, muscle movements sensors, braincomputer interface) along with machine learning approaches can provide the deeper understanding of the usefulness and effectiveness of such alphabets and systems for nonverbal and situated communication. The symbols (and alphabets) generated and esrtimated by such methods may be useful in various applications: from synthetic languages and constructed scripts to multimodal nonverbal and situated interaction between people and artificial intelligence systems through Human-Computer Interfaces, such as mouse gestures, touchpads, body gestures, eyetracking cameras, wearables, and brain-computing interfaces, especially in applications for elderly care and people with disabilities.

Title of the Paper: The Role of the Internet of Things in Innovative Business Models


Authors: Igor V. Ilin, Konstantin Frolov, Daniil Bolobonov

Pages: 227-231

Abstract: The Internet of Things technology has already proven its worth for businesses. However, a lot of IoT projects are failed and most of solutions which were successfully implemented still don’t uncover the full potential of the IoT. The paper describes why the business models of the organizations should change following the introduction of their IoT strategy. Moreover, in this paper each component of the proven IoT solution architecture is presented and examined in detail. The paper is intended to support the transition of organizations to the new innovative business models which will be able to fully leverage the Internet of Things technologies.

Title of the Paper: X-Band Circular Polarization Array Antenna with Parallel Arrangement of Three-Element Plane Antennas


Authors: Atsushi Fukasawa, Yumi Takizawa

Pages: 220-226

Abstract: This paper presents novel configuration of wideband microwave circular polarization antenna. This array antenna is composed of four units of three elements plane antennas. This unit antenna is composed of three circular elements of feed and reactance elements on a ground plane. The unit antenna is composed of a feed and a reactance elements on a ground element. The feed element is made of a disc truncated at both sides to separate generation of higher and lower frequencies (fH and fL), Four units of the above antenna are applied to the parallel array antennas. It was found that the axial ratio was about 3 dB or less at the frequencies 9.5, 10.0, and 10.5 GHz. But minimum axis ratio of around 0 dB was not achieved by parallel arrangement of four antennas.

Title of the Paper: Modified GDI Based Time to Digital Converter


Authors: Ranjani Aruna A., J. Kamala

Pages: 216-219

Abstract: There are many ways to utilizes the solar power for different purpose. Here we need to use this solar power for smart nodes of internet of things (IOT) networks. This process will be designed with the MPPT techniques and it will be working by the hill climbing method. This MPPT will capture through FSM with TDC circuit. This proposed FSM will run in 14 clock cycle. The TDC functional blocks process the 5MHz internal clock frequency with 0.09µm MGDI Technology. Through this innovative technology the power and the process can reduce from the actual quantity.

Title of the Paper: Music Transcription by Deep Learning with Data and “Artificial Semantic” Augmentation


Authors: Vladyslav Sarnatskyi, Vadym Ovcharenko, Mariia Tkachenko, Sergii Stirenko, Yuri Gordienko, Anis Rojbi

Pages: 212-215

Abstract: In this progress paper the previous results of the single note recognition by deep learning are presented. The several ways for data augmentation and “artificial semantic” augmentation are proposed to enhance efficiency of deep learning approaches for monophonic and polyphonic note recognition by increase of dimensions of training data, their lossless and lossy transformations.

Title of the Paper: Ternary CMOS Standard Cell Design


Authors: N. Khairudin, A. Abdul Aziz, M. T. A. Mohd Mabror

Pages: 206-211

Abstract: In this paper a circuit design of ternary based on the multi-valued logic (MVL) is presented. Another alternative way to use ternary rather than binary it because of the complexity, delay and power consumption. Implementation of the MVL in logic design is better in data transfer rate compared to the binary interconnection system. Binary systems in field programmable gate array (FPGA) tend to dominate the delay, power and area. In ternary system, it has 3 different logic values 0, 1 and 2, whereas the binary logic it has 0 and 1. In this project the ternary standard cell circuit is introduced such as Ternary Inverter, Ternary NAND and Ternary NOR. The suggested design is synthesized using Cadence Software and the comparison is done in term of delay, number of interconnection and power.

Title of the Paper: A Compact Ultra Wideband CPW-Fed Circular Polarized Slot Antenna


Authors: Boualem Hammache, Abderaouf Messai, Mohammed Amin Meriche, Idris Messaoudene

Pages: 202-205

Abstract: In this paper a new Compact Ultra Wideband CPW-Fed Circularly Polarized Slot Antenna is presented. This antenna has a very small size of 15×15×0.76 mm3, a new and easy design Based on previous works to realize the CP (Circular polarization). Two inverted-L stripe and two rectangular stripes are integrated in the ground plan to obtain a CP band width. The simulated IBW (impedance bandwidth) has a band of 14.9GHz between (4.1GHz-19GHz) where S11 is less than -10 dB and the 3dB ARBW (axial ratio bandwidth) with 5.65 GHz between (6.3GHz-11.95GHz). The realized gain has 2.7 dBi in the frequency center of ARBW.

Title of the Paper: Design of an Observer PI for an Asynchronous Machine without Mechanical Sensor


Authors: Ahmed Chouya, Abdellah Mansouri, Mohammed Chenafa

Pages: 195-201

Abstract: This document approaches the observation of the asynchronous machines state without mechanical sensor. The approach suggested rests on the nonlinear transformation of the machine and the estimate of state is carried out using an observer of the Proportionnel-Integral (PI) known for its properties of robustness. Conditions sufficient to guarantee the convergence of the error in estimation are given in a form equation candidate of LYAPUNOV.

Title of the Paper: Technique for the Visualization of Information for Refueling a Swarm of UAVs Using Genetic Algorithms in a Virtual Environment


Authors: Alexandre Cardoso, Camilo Barreto, Edgard Lamounier, Igor Andrade, Keiji Yamanaka, Milton Miranda

Pages: 191-194

Abstract: This work is centered upon the study and development of an algorithm for finding the best sequence for refueling, in order to minimize the risk of a Lack of Fuel situation within the swarm elements, based on the distance that each element should cover, as well as the autonomy needed for this function. An approach was sort through the theory of evolutionary algorithms, specifically the genetic algorithm, selection methods, crossover and mutation of individuals in a population, development and the use of Virtual Reality to present results.

Title of the Paper: A Design for Online Low Power Eye Pressure Measurement System Based on MEMS Capacitors Array


Authors: Mohammad Abbasi, Amir Abolfazl Suratgar

Pages: 184-190

Abstract: This paper proposeds a new design for online eye pressure measurement system. The proposed system is based on the array of MEMS capacitors. The energy consumption of system is optimized. The proposed design is simulated in ABAQUS version 6.14-2 in the range of 10-30 mmHg eye pressure. The simulation results are very promising. The system can be used for Glaucoma prevention. The scaled up prototype exprimetal results and simulaion results are very promising.

Title of the Paper: Stability Analysis and Hopf Bifurcation in an IMC Structure


Authors: Vıctor Castellanos, Hactor Argote, Ramon E. Chan–Lopez

Pages: 180-183

Abstract: In this paper we analyze the dynamic of an IMC structure system. We prove the existence of a closed trajectory (limit cycle) that is a solution of a differential system that represent the ICM structure, to do this, we compute the first Lyapunov Coefficient using the Kuznetsov Theorem obtaining a Hopf bifurcation. Numerical simulation and experimental results are included to give a full comprehension of the system. The existence of a limit cycle obtained in the results suggests that the implementation of advanced control laws are required. In this paper we analyze the dynamic of an IMC structure system. We prove the existence of a closed trajectory (limit cycle) that is a solution of a differential system that represent the ICM structure, to do this, we compute the first Lyapunov Coefficient using the Kuznetsov Theorem obtaining a Hopf bifurcation. Numerical simulation and experimental results are included to give a full comprehension of the system. The existence of a limit cycle obtained in the results suggests that the implementation of advanced control laws are required.

Title of the Paper: Direct Torque Control of Induction Motor Using Seven-Level Cascaded Multilevel Inverter with Reduced Number of Switches


Authors: P. Rajan, S. Jeevananthan, P. Ranjith

Pages: 173-179

Abstract: With the headway of energy hardware and computerized advancements charge, a few control structures for the AC machines were proposed, keeping in mind the end goal to get execution indistinguishable to those of the DC machine. Among these structures, the direct torque control has been as of late towards the most critical research and most appropriate to mechanical necessities. direct torque control (DTC) is a control strategy in AC drive drives to acquire elite torque control. The traditional DTC drive contains a couple of hysteresis comparators and experiences variable exchanging recurrence and high torque swell. These issues can be unraveled by utilizing space vector relying upon the reference torque and flux. In this paper the space vector adjustment strategy is connected to the another seven-level cascaed multilevel inverter utilizing 5-switches control in the proposed DTC-based enlistment engine drive framework, coming about to a huge decrease of torque swell. Seven-level fell multilevel inverter have been broadly utilized as a part of medium voltage applications. This sort of inverters have a few points of interest over standard two-level VSI, for example, more noteworthy number of levels in the output voltage waveforms, less consonant twisting in voltage and current waveforms and lower exchanging frequencies. This paper underscores the inference of exchanging states utilizing the Space Vector Pulse Width Modulation (SVPWM) procedure. The control plan is actualized utilizing MATLAB/SIMULINK Tool.

Title of the Paper: Performance Assessment of a Wind Turbine with Variable Speed Wind Using Artificial Neural Network and Neuro-Fuzzy Controllers


Authors: Jemaa Aymen, Zarrad O. N. S., Mansouri Med Nejib

Pages: 167-172

Abstract: In this paper we study and compare two control methods for Maximum Power Point Tracking (MPPT) applied to a wind turbine modules system using the Permanent Magnet Synchronous Generators(PMSG) in variable speed atmospheric wind condition. The system with Artificial Neural Network (ANN) and Neuro-Fuzzy controllers are modeled, simulated and analyzed by using MATLAB/SIMULINK (V.R2015a) software.

Title of the Paper: Neural Network Estimator for Electric Field Distribution on High Voltage Insulators


Authors: Mohamed H. Essai, Mahmoud A. H. Ahmed, Ali H. I. Mansour, Refai A. Refai

Pages: 160-166

Abstract: This paper introduces, a three-dimensional (3D) neural network electric fields estimator, which will be used to determine the electric field distribution on high voltage insulator surface. A 15 KV composite suspension insulator has been used. In the course of collection the training data sets the finite element method (FEM) have been used. The collected/used training data sets consists of x, y and z coordinates of the investigated points on the insulator surface and operating voltage as NN inputs, and the electrical fields as NN outputs, i.e. training pairs (input, and output). Several ANN models have been built, and examined based on number of NN design considerations, such as number of layers, number of neurons in each layer, used learning algorithms, and used performance functions, in order to get the most efficient trained NN-estimator, which provides the best generalized approximation ability of NN These developed NNs make it is possible to determine the electrical fields at any point on the insulator surface easier and faster. The obtained results show that the estimated values of electrical field on an acceptable degree of accuracy. Therefor the ANN models which has been presented in this paper can be used easily for design and development processes of the composite insulators for various line voltages levels.

Title of the Paper: Tasks of a New Sustainable Romanian Model Destination


Authors: Mirela Mazilu, Daniela Dumitrescu, Mădălina Andrei, Roxana Marinescu

Pages: 154-159

Abstract: Tourism was bounced from one ministry to another without being given due importance in the national economy. Fortunately, the current government has reinstated the ministry, taking appropriate measures for the good of the tourism, helping budgetary Romanians to spend their holidays within their country by holiday vouchers. The Romanian ecotourism destinations, no matter of the season, remain Romanians favorites, given the modest prices the owners of these pensions charge. In present, sustainable Romanian destinations are increasingly affected by the new strategic challenges posed by innovative technologies and often related to tourist consumer behavior and environmental pressures. In order to address these challenges, destinations first have to analyze the global trends and then respond proactively (Soteriades et al., 2007), strongly emphasizing that innovation is extremely important, even indispensable to evolution.

Title of the Paper: From D. Bernouilli to M. Allais: A New Paradigm in the Making?


Authors: William M. Saade

Pages: 143-153

Abstract: This study revives an approach to elicit human preferences based on the stimuli-response procedure long forgotten. Fifty years ago a new theory, Elementary Catastrophe Theory,(E.C.T.), unfolding a unique Potential in our brain, provided the underlying dynamics needed to fulfill all the desiderata of the so-called school of Psycho-Physics(Weber-Fechner, 1860), seeking to make mathematical sense of the procedure above. The axiomatization of a self-measurement process brings a rationale to the empirical data away from any “a priori” assumption about human purpose. Besides fitting the major landmark criteria in the fields of Value and Utility this 5th degree symmetric polynomial exhibit a characteristic (Negative Schwarz’ Derivative) going a long way to solve controversies and remove roadblocks in the progress of Portfolio Theory. In the Annex we provide an algorithm finding the roots of polynomials of any degree based on the same feature. Finally with this newly-found Human Scale (Cardinal), grounded solely on the axiom of Non-Satiation, Free Energy could dislodge Entropy as a paradigm in this field.

Title of the Paper: Analytical Modelling and Performance Analysis for Symmetric Double Gate Stack-Oxide Junctionless FET in Subthreshold Region


Authors: Md. Shafiqul Islam, Raisa Fabiha, Chinmoy Nath Saha

Pages: 138-142

Abstract: In this paper, we propose a two-dimensional analytical model of single material symmetric Double Gate Stack-Oxide Junctionless Field Effect Transistor (DGSJLFET) for subthreshold region. This model has been investigated and expected to improve subthreshold characteristics and minimize short channel effects. The characteristics of DGS-JLFET are compared with those of the single material symmetric Double Gate Junctionless Field Effect Transistor (DG-JLFET). Our proposed DGS-JLFET exhibits higher Ion/Ioff ratio, less subthreshold swing (SS) and less drain induced barrier lowering (DIBL) when compared to DG-JLFET.

Title of the Paper: Developing Business Case Framework for the Introduction of the Set-Based Concurrent Engineering; A Case Study at Jaguar Land Rover


Authors: Muhd Ikmal I. Mohd Maulana, George Sherrey, Ahmed Al-Ashaab, Almudena Jimenez Martin, Kshitij Vats, Oluwaseyi Omoloso, Thomas Masson, Thomas R. Leigh, Toni Galeote Perramon, Victor Barroso Moreno, Yucheng Zhang

Pages: 128-137

Abstract: Product development challenges have put such an immense pressure to companies like Jaguar Land Rover (JLR) to become more competitive and efficient in the market. The key demand is sustaining the design through product innovation, produce a quality product, shorten the lead time and in a cost effective manner. Lean Product Development (LeanPD) through the Set-Based Concurrent Engineering (SBCE) is an approach that has these capabilities including providing a suitable knowledge environment to support decision making throughout the development process. This paper presents a process of developing a business case framework (SBCE-BC) for the introduction and application of the SBCE principles to justify its effectiveness. The structure of the SBCE-BC framework proposed at the end of this paper presents a generic guideline of having a business case in SBCE by justifying the benefits of its application. The framework was established based on the LeanPD application study at Jaguar Land Rover (JLR).

Title of the Paper: CFD Airfoil Analysis with High Aspect Ratio in Unmanned Aerial Vehicles


Authors: Byung Ryoun Kim, Chakun Cheong, Kyoungwoo Park, Byeong Sam Kim

Pages: 120-127

Abstract: Shape optimization of the airfoil with high aspect ratio of long endurance unmanned aerial vehicle (UAV) is performed by the multi-objective optimization technology coupled with computational fluid dynamics (CFD). For predicting the aerodynamic characteristics around the airfoil the high-fidelity Navier-Stokes solver is employed and SMOGA (Simple Multi-Objective Genetic Algorithm), which is developed by authors, is used for solving the multi-objective optimization problem. To obtain the optimal solutions of the design variable (i.e., sectional airfoil profile, wing taper ratio and sweep) for high performance of UAVs, both the lift and lift-to-drag ratio are maximized whereas the pitching moment should be minimized, simultaneously. It is found that the lift force and lift-to-drag ratio are linearly dependent and a unique and dominant solution are existed. However, a trade-off phenomenon is observed between the lift-to-drag ratio and pitching moment. As the result of optimization, sixty-five (65) non-dominated Pareto individuals at the cutting edge of design spaces that are decided by airfoil shapes can be obtained.

Title of the Paper: Discovering Lean Innovation Good Practices: Three Industrial Case Studies in the UK


Authors: Myrna Flores, Carles Regué, Ahmed Al-Ashaab, Stephen Young, Najam Beg, Alan Harris, Muhd Ikmal I. Bin Mohd Maulana

Pages: 110-119

Abstract: Although lean thinking is widespread in manufacturing, there are still only few companies implementing lean principles in the End-to-End Innovation process. This paper introduces the Lean Innovation Model as a framework to discover which lean practices in

Title of the Paper: Auto-Phase Calibration Loop of a Transmission Array for Development of New Diathermy Using Focused Microwave


Authors: Joon Shik Yoon, Soon-Ik Jeon, Jang-Yeol Kim, Seong-Ho Son

Pages: 107-109

Abstract: We introduce an automatic phase calibration loop circuit and an extended time reversal method for a focused microwave thermotherapy system. We evaluate the loop circuit by measuring the phase errors at the array antenna feeding port. We compare these measurements with those without a loop. The results reveal that the reductions of overall phase are enough to focus fields at a target point.

Title of the Paper: Electrical Braking System Simulation and Control Based on Force to Voltage Conversion Using Servo Motor


Authors: Mohammad A. Obeidat

Pages: 102-106

Abstract: In this paper an electrical braking system is proposed. The force on the pedal of the mechanical brake is converted to a voltage using Flexi force sensor. The electrical voltage signal is processed using Arduino uno microcontroller to drive a servomotor at a certain phase angle, which allows the oil to flow in the cylindrical pipe brake. Hardware implementation of the system has been built and tested. This system can be applied for vehicle to vehicle communication which helps in accident reduction.

Title of the Paper: Building Urban Databases for Smart City Applications Using Crowdsensing Techniques by Additional Evaluation of Vision Based Driver Assistance Systems


Authors: M. Szántó, L. Vajta

Pages: 96-101

Abstract: Smart city solutions – especially autonomous driving in cities – need detailed model of the environment. The spread of the driver assistance systems, and the growing importance of their vision component, open new possibilities for constructing such database, which describe the environment in deep details online. The onboard vision system of a state of the art vehicle delivers much more information than we need for its basic tasks. By use of additional evaluation of the visual information, and with the installation of extension elements and communication tools we achieve a cheap data source for new applications. By use of a dead reckoning trajectory tracking based motion stereo solution, we can extend the onboard vision system towards a 3D modelling sensor. Although the accuracy of such a solution is strongly limited, the huge amount of the information delivered by the individual agents makes the reduction of noises and the artificial generation of higher resolution possible. Additional illumination (i.e. IR laser strip) makes the calculation of 3D information more effective. The development of the 3D model needs sophisticated picture processing algorithms for separation of the change in the sensed image caused by the movement of the camera from those produced by the perspective transformation. As an example we will introduce our crowdsourcing based solution for the continuous update of road surface quality database. . The windshield mounted video camera of the vehicle extended by a cheap laser light strip illuminator and robust software solution produces detailed description of the road surface profile along the movement’s track. The type of the deviation of the surface from the needed value together with the GPS position of the failure’s location will be transmitted to the central database. Based on this information the maintenance works logistic can be optimized, which reduces the cost of the road repair enormously.

Title of the Paper: The Removal of Heavy Metal Using Biomaterial to Enhance the Quality of Life in Community


Authors: Chinnawat Satsananan

Pages: 91-95

Abstract: This work is remove Co(II)ions by using biomaterial in community to enhance the quality of life in community. The result found that biomaterial could be absorbed Cobalt (Co(II)) in all experiments. The optimum adsorption capacity on the adsorption of Co(II) was obtain by used adsorbent 0.20 g, initial metal concentration 200 ppm, pH = 4 and NaNO3 in solution, respectively. The results shown that this method could be reduced the amounts of Co(II) in contaminated waste water before release to the community by using biomaterial in community. Biomaterial is effective and inexpensive materials to remove high amounts of heavy metal from aqueous solution. This method could be application to eliminate heavy metals from waste water before release to the environment.

Title of the Paper: Identification of Series DC Motors Based on the Strecj Method


Authors: Jesús U. Liceaga-Castro, Irma I. Siller-Alcalá, Roberto A. Alcántara-Ramírez, Jorge M. Jaimes-Ponce

Pages: 83-90

Abstract: Based on the Strecj method a procedure for the identification of Series DC motors is presented. It requires only the measurement of the rotors speed and current consumption. The Strecj methodology is applied to obtain the parameters of a non-linear model without magnetic saturation of a particular Series DC motor. To prove the validity of the proposal here presented comparisons between real time responses of the series DC motor with those of the identified nonlinear model are presented.

Title of the Paper: Certification Standard for Tourism in the Danube Region


Authors: Mirela Mazilu, Elena Toma, Irina Lazăr

Pages: 78-82

Abstract: Motto:”In Europe today, there are already over 4 million people working for eco-industries. And the green economy sector has been extremely resilient. In fact it has kept growing and creating new jobs through the economic crisis” In Europe today, there are already over 4 million people working for eco-industries. And the green economy sector has been extremely resilient. In fact it has kept growing and creating new jobs through the economic crisis” Karmenu Vella, European Commissioner for Environment, Fisheries and Maritime Affairs. The establishment and the management of a certification system, especially for a multi-national area like the Danube Region can be a challenge. In the benchmarking analysis, the aspects related to simplicity of the systems and their easiness to be transferred have been kept in high consideration. The intensity of the challenge depends also on important initial choices that should be made and that are suitable to simplify/complicate the process. The public/private nature of the system, the possible adoption of existing and ready-to-use standards, the possibility of choosing a second-level certification approach are all aspects to be taken into consideration.

Title of the Paper: An Application of Discrete Event Systems based Fault Diagnosis to German Railway Signaling System


Authors: Mustafa S. Durmuş, İlker Üstoğlu

Pages: 70-77

Abstract: Fixed-block railway signaling systems are both regarded as Discrete Event System (DES) due to having DES-like features in their structure and safety-critical due to the fact that the occurrence of a fault may result with a huge loss of life and property. Therefore, DES-based modeling and fault diagnosis methods which are also recommended in the railway related safety standards are applicable to fixed-block signaling systems. On the other hand, the design steps of software for safety-critical systems are guided by software lifecycles. Among different lifecycle models proposed in the literature, the V-model is one of the most well-known software development lifecycle model. In this study, a modification for the V-model is proposed by adding a DES-based fault diagnosis step to the V-model. The proposed method is also explained with a case study on the German Ks signaling system.

Title of the Paper: Compressively Sensed Hybrid PET/MR Imaging with Enhanced Spatial Resolution


Authors: Krzysztof Malczewski

Pages: 61-69

Abstract: Considering the success of PET/CT modalities, public expectations for any new combination, such as MR/PET are pretty high. Since MRI does not utilize any ionizing radiation its use is recommended in preference to CT when either modality could yield the same information. Thus, it turns into a perfect anatomical complement to PET. The principal idea behind merging PET and MRI is to combine the functional / metabolic information provided by PET with the high soft-tissue contrast and the functional information offered by MRI. This article presents the new compression sensing based super-resolution algorithm for improving the image resolution in clinical MR-PET hybrid scanners. Despite MR and PET each provide unique and independent information they share the same underlying anatomical features. Hence, rather than treating the data from PET and MR singly, we are able to incorporate both data sets in a simultaneous reconstruction algorithm. A joint sparsity based reconstruction method for multiple sensors, allows these anatomical similarities to improve the two unique and independent data sets. It is shown that the presented approach improves MR-PET spatial resolution in cases when Compressed Sensing (CS) sequences are used. Compressed sensing (CS) aims at signal and images reconstructing from significantly fewer measurements than were traditionally thought necessary. The application of CS in medical modalities has the potential for significant scan time reductions, with visible benefits for patients and health care economics. These methods emphasize on maximizing image sparsity on known sparse transform domain and minimizing fidelity.

Title of the Paper: Use of Popular Science Materials for Teaching Topology


Authors: Francisco Gallego Lupiáñez

Pages: 50-60

Abstract: We describe the teaching experience of use of popular science articles, books, and comics, for university teaching of topology for undergraduate students in Mathematics.

Title of the Paper: Obtaining Building Materials from Coal Ash after Separation of the Residual Carbon


Authors: Mihai Cruceru, Traian Alexandru Abagiu, Lucica Anghelescu, Bogdan Diaconu

Pages: 45-49

Abstract: There are 108 ash coal landfills In Romania occupying an area of 2823 ha, the volume of stored coal ash representing several thousand million cubic meters. These landfills, even if they were closed, continue to impact negatively the environment by: modifying the composition and quality of the soil in the vicinity due to deposition of ash particles, pollution of ground water by infiltration, accumulation of heavy metals in local flora and damage to human health. Although various measures to diminish the environmental impact are available, the use of coal ash as a potential raw material could be considered as a better solution. The coal ash presents a valuable oxide composition, a suitable fine grain size, which is a major advantage in the production of building materials by excluding the energy required for grinding. This paper presents the main data regarding building materials manufacturing by using coal ash as substitute by up to 50% of raw materials which are obtained usually by destructive action on superficial soil layers.

Title of the Paper: A Green and Competitiveness Model Development- Danube Bend-Eco-Friendly Destination


Authors: Mirela Mazilu, Cipriana Sava, Amalia Niţă, Sabina Gheorgheci

Pages: 32-44

Abstract: Green tourism principles, actually, in Romania, have many effects on every single aspect of the hospitality industry. They don't just relate to the environment however important that may be; they also relate from the way business and marketing is done to interactions with society and culture and to economic stability. Now, the conservation is becoming part of tourist markets, by promoting ecotourism as an element of the so-called green economy, which was proposed as a solution to the on-going crisis at the Rio+20 Summit? Additionally, the complex relationship between tourism and the environment is based on the demand for energy, water, land and materials. The Green tourism and green destinations intensifies the use of natural resources, but how does it contribute to deepening systemic environmental contradictions? .Hospitality, travel and ecotourism comprise a multitude of activities which together form one of the world’s fastest growing and mutually dependent international sectors. In recent years, tourism has become one of Romanian's most important economic sectors and has significant potential to play a further role in Romania's economic renewal. Hospitality, travel and ecotourism research is fundamental to ensuring that the industry has a positive influence on economies, cultures and societies. In the remainder of the paper, a theoretical background is presented and the research hypotheses are developed. The sections describing the methodology, empirical results, and discussion follow. The paper ends with a summary of theoretical contribution, managerial implications, limitations and future research. This paper has four major objectives: to develop a model of destination competitiveness that identifies key success factors in determining destination competitiveness, to develop an appropriate set of indicators of destination competitiveness; to highlight the advantages and limitations of the model; and to identify areas for further research.

Title of the Paper: Optimization of Biodiesel Production through Enzymatic Transesterification of Jatropha Curcas Oil


Authors: Fahad Al Basir, Priti Kumar Roy

Pages: 21-31

Abstract: Enzymatic transesterification of Jatropha curcas plant oil with an alcohol is described as a two-step process. In the first step, hydrolysis of Jatropha oil to produce free fatty acid and the second step is the esterification of methanol with fatty acid to form the desired product, biodiesel. In this article, effect of stirring on enzymatic transesterification of Jatropha oil has been studied by formulating a mathematical model. Suitable reaction conditions such as molar ratio, enzyme load, stirring etc. are determined using the mathematical model. In order to find a unique optimum stirrer profile (a function of time), mathematical control theory is applied on stirring and make the process cost effect. The validity of the model is established by simulated result of the model and experimental results available in the literatures.

Title of the Paper: New Generation IoT-Based Healthcare Applications: Requirements and Recommendations


Authors: Dragorad A. Milovanovic, Zoran S. Bojkovic

Pages: 17-20

Abstract: Internet of Things (IoT) and healthcare are two valuable application requirements in the emerging 5G mobile networks. In a broad sense m-health represents the delivery of healthcare services through mobile devices, the function of which is to capture, analyze, store and transmit health information from multiple sources, including sensors and other biomedical acquisition systems. Solutions based on e/m-health decrease medical errors improving at the same time the efficiency health services and reducing operating costs. This paper surveys IoT for healthcare together with services and applications, security and technologies for promoting the corresponding services. In addition, this paper is going to invoke 5G network technology and health IoT including Internet of medical things. Next, current standardization activities and recommendations are outlined. Proposals for the future work conclude the presentation.

Title of the Paper: Some Considerations Regarding the Performances of Machining by Superfinishing Process


Authors: Badea Lepadatescu, Adela-Eliza Dumitrascu

Pages: 10-16

Abstract: In the paper is presented some considerations regarding the use of superfinishing process in machining rotationally symmetrical workpieces to improve their surface structure as fine as 0,012 μm Ra. Also are related some results of our research connected to this manufacturing process using different process parameters. The data that were obtained by these researches allow us to design and to realize a machine tool of superfinishing method by using two types of reciprocating motions of the abrasives tool which led us to achieve a better surface texture parameters of the workpieces.

Title of the Paper: Intercomprehension and Translation Studies


Authors: Mihaela Popescu

Pages: 6-9

Abstract: The paper is a study research on intercomprehension as a integrative part of multilingualism and its effects on the language learning and communication in a pluricultural context. The accent falls on its role in translation study. The theoretical approach concentrates of the cognitive functions of languages, the definition of the concept and on the textual, linguistic and situational dimensions of communication process. As a different perspective, intercomprehension is a tool of representing, structuring and re-structuring realities conveying unity in a diversity of cultures. The experimental part is the description of a research conducted in our faculty focusing on the impact of intercomprehension on creating repertories and resources for translations.

Title of the Paper: Correlation Study Between Transit Accident and Routes with Traffic Light Crossings in Rio de Janeiro City


Authors: Jaqueline M. R. Vieira, Gisele M. R. Vieira

Pages: 1-5

Abstract: This article depicts the analysis of the correlation between traffic accidents and the traffic light crossing roads in twenty-one districts of the city of Rio de Janeiro, made through georeferenced data and in order to measure the flow of vehicles on the roads these neighborhoods. The Pearson coefficient was used as a way to assess the problem, which applied to data of accidents and crossings has important information about the intensity of this correlation. The main reason of this study is due to the high rate of fatal traffic accidents in Rio de Janeiro and the fact there is no specific data traffic flow in these neighborhoods studied. The methodology can provide insight for better understanding of the problem and it can be applied in other neighborhoods where also there is this kind of information