Showing papers in "Global Journal on Technology in 2013"

On the Security Requirements of Cryptographic Modules

Abstract: With recent developments in information and communication technologies, the need of security products having cryptographic modules is increasing. Security requirements of cryptographic devices vary for different applications and usages. In this paper, a security model is described for different levels of cryptographic modules in different environments. This model is introduced by analyzing the security requirements given in the Federal Information Processing Standard Publication 140-3 (FIPS 140-3). The FIPS 140-3 specifies the security requirements for a cryptographic module utilized within a security system protecting sensitive information in computer and telecommunication systems, and provides different security levels. It is concluded that while achieving security requirements with a cryptographic module such as encryption algorithm, signature schemes, key management issues, one has to check out design and implementation steps for the targeted environment, since each device has its own characteristics. These are called as conformance testing steps. Security model proposed in this study is designed after defining threats. Then, the required precautions are taken and functional requirements are selected. The proposed security model comprises of security levels, threat levels, cryptographically secure and approved algorithm requirements. Keywords: Security, operating system, access control;

Role of information technology in agriculture

Abstract: 72 Information technology has positive impacts on Agricultural productivity as witnessed in the US. This involves the use of mobile applications to facilitate passage of information between stakeholders as well as, the use of GIS and remote sensing instruments. In addition, farm implements can incorporate guidance systems which make use of GPS data to enable a farm implement operators to detect the exact location in the field. In this regard, farmers can make informed decisions concerning the timing, quantity of inputs as well as the application and use of appropriate technologies. There has been a slow adoption rate of precision farming in the US, and this has been attributed to the lack of knowledge, and the presence of uncertainties regarding returns on investment. However, agricultural innovations increase efficiency and effectiveness in farming endeavours thus ICT continues to play a significant role in increasing productivity in the US. Keywords: Information technology, US, Agriculture, Agricultural innovations, Economic growth Normal 0 21 false false false TR X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Cambria","serif";}

Dental x-ray image segmentation and multiple feature extraction

Abstract: The process of analysis of such images is important in order to improve quantify medical imaging systems. It is significant to analysis the dental x-ray images we need features of image. In this study we present a method for segmentation and feature extraction of dental x-ray images. The method has been implemented by using clustering (k-mean) method for segmentation after image enhancement and illustrate contour for teeth to complete the segmentation step. Furthermore, we extracted multiple features of dental x-ray images using texture statistics techniques by gray-level co-occurrence matrix. Extracted data can perform to obtain the teeth measurements for automatic dental systems such human identification or dental diagnosis systems. Preparatory experiments show the significance of the proposed method to extract teeth from an x-ray image. Keywords: dental x-ray image, segmentation, feature extraction, enhancement;

An Interactive Virtual Environment for Learning Differential Leveling

Abstract: In this paper, we describe the design and development of an interactive virtual environment whose objective is to help undergraduate students learn and review the concept and practices of differential leveling. The virtual environment includes realistic terrains and leveling instruments that look, operate, and produce results comparable to the physical ones. It will be integrated in surveying courses as a preparation, revision and assessment tool. Keywords: Virtual learning environments; differential leveling; surveying education; formative evaluation;

The exact string matching algorithms efficiency review

Abstract: Exact String matching algorithms has been very significant in many applications in the last two decades. This is due to the advancement in technology that produces large volumes of data. The main factors in string matching algorithms are the number of attempts, the number of character comparison and the running time. These factors are influenced by the type of algorithm, type of data, data size and length of pattern used. In this article, we perform review for advantages and disadvantages of executing exact string matching algorithm. We conclude that the suffix automata and hybrid are the faster algorithms with the lowest number of attempts and the hashing approaches have the lower number of comparison. The bit parallelism algorithms have the similar limitations. Keyword: Exact string matching, character comparison, number of attempt, limitations;

3D Reconstruction Technique with Kinect and Point Cloud Computing

Abstract: The background of this study using a variety of methods lies in providing a new interaction between them as the basis of virtual space with objects in the physical world. In this respect, the purpose is to cover in detail a scene for the reconstruction of 3D real-world objects. This involves the creation of virtual spaces using a 3D standard camera, the object of which is to display a 3D model. In order to achieve this target, during data acquisition, examination of the available methods and integration of multiple scan-related research were undertaken. As a result, in summary, this study involves the discussion of real-world objects as solid on the planar surfaces, which have been active in more than one depth-scanned point clouds (PCL), applying various filters to the background of the object, and then combining these scans. Keywords: 3D reconstruction, kinect, depth camera, image reconstruction, tracking, point cloud;

Utilization of distance learning technologies in postgradute architectural education

Abstract: Nowadays, intensive utilization of computer and network technologies have also caused changes in education systems. Traditional architectural design education is composed of two steps: Theorical information transfer and applied design studio. Applied studio step is formed as face to face, interactive work between the educator and the student. In that traditional method, technical drawing on paper, modeling work, and computer aided photorealistic visual tools are architectural simulation mediums in design process.In this study, the remote - digital technological methods that are aimed to support present architectural education such as internet- intranet, have been introduced. In that context, architectural design training have been realised by using these tools with postgraduate students of Gazi University Department of Architecture. The aim of this study is to examine utilization possibilites of these technologies by people who is working, handicapped, trying to renew his/her knowledge and to have additional training by means of lifelong education and to evaluate positive and negative results obtained. Keywords: Architectural design, computer aided design, architectural design education, distance learning, remote architectural design education, internet technologies, lifelong education

Technophobia in universities: To be or not to be, this is the problem...

Abstract: Nowadays technology is of great importance in our daily lives. By the way, it has had some difficulties as well. One of these problems is known to be technophobia. It can be described as some fear, negative thinking or reluctance to use advanced technologies. The present article has reviewed the affective factors on technophobia among the academicians. The research is a qualitative study one and the statistical population includes the university lecturers and higher education students. It all refers back to this group’s constant use of technology and their acceptance or rejection of the technology which broadly affects the society’s use of technology. In this research, a number of university lecturers and students were chosen randomly and some semi-structured interviews were conducted. Qualitative content analysis is employed for analyzing the data. The findings of the research show that the 14 variables (lack of individual skills, lack of communication skills, personality, perceived complexity of use, perceived uselessness, ethical problems, cultural influences, norms, habits change, general change in technology trend, law and regulation, lack of training, age and experience) have an impact on technophobia in Iranian universities. Finally, the results are presented using a schematic model in order to comprehend this paper better. Keywords: Technophobia, technology, academics, qualitative research;

Multifractal Analysis of Sentence Lengths in English Literary Texts

Abstract: This paper presents analysis of 30 literary texts written in English by different authors. For each text, there were created time series representing length of sentences in words and analyzed its fractal properties using two methods of multifractal analysis: MFDFA and WTMM. Both methods showed that there are texts which can be considered multifractal in this representation but a majority of texts are not multifractal or even not fractal at all. Out of 30 books, only a few have so-correlated lengths of consecutive sentences that the analyzed signals can be interpreted as real multifractals. An interesting direction for future investigations would be identifying what are the specific features which cause certain texts to be multifractal and other to be monofractal or even not fractal at all. Keywords: Time series, multifractals, long-range correlations, natural language;

Hyperstructures in Social Sciences

Abstract: This paper deals with hyperstructures in social sciences. It gives several examples of hyperstructures constructed in the social sphere and on human relations, e.g., it deals with relations between people and moreover their properties are studied. Moreover, the properties of defined hyperoperations are studied. Such hyperoperations and resulted sets can be very helpful in everyday life of sociologists, namely in their decision-making process when studying the relations in particular social group. Keywords: Hyperstructure, hyperoperation, hypergroupoid, social sciences;

Breast Cancer Diagnosis Based on Naïve Bayes Machine Learning Classifier with KNN Missing Data Imputation

Abstract: Cancer is one of the most mortal diseases in the world. Breast cancer is the second leading cause of death in women. Mammography is a method which is used to detect breast cancer in the initial stage. It helps physicians about in their decisions whether biopsy is necessary or not with respect to tissue shape, border and density. According to researches, 70% of biopsies have done without a need. Because of its cost and complications, it is essential to decide whether biopsy is necessary or not. To achieve this aim, lots of machine learning algorithms are developed to help medical diagnosis in literature, but data sets include some missing values in many real world tasks. These missing values adversely affect classifier performance. Our approach is to impute missing values with k Nearest Neighbor algorithm (kNN) and Naive Bayes. Then, the performance of the system is evaluated by kNN and Naive Bayes classifiers to detect breast cancer. Our proposal is measured by performance criteria such as accuracy, sensitivity, specificity and ROC analysis. With this approach, 95 out of 131 missing data which is 9.89% of all data are filled. The experimental results on Mammographic Mass database demonstrate the effectiveness of our proposal with 82.49% accuracy while 81.69% accuracy is obtained without any imputation using same training and test sets. It can be concluded that this approach can also be used for other medical diagnosis problems with high accuracy. Keywords: Breast cancer, missing data imputation, kNN, Naive Bayes, Mammographic Mass;

An Improved Genetic Algorithm for Job Scheduling in Cloud Computing Environment

Abstract: The cloud computing is the development of distributed computing, parallel computing and grid computing, or defined as the commercial implementation of these computer science concepts. One of the fundamental issues in this environment is related to task scheduling. Cloud task scheduling is an NP-hard optimization problem, and many meta-heuristic algorithms have been proposed to solve it. A good task scheduler should adapt its scheduling strategy to the changing environment and the types of tasks. A Genetic Algorithm (GA) for job scheduling has been proposed and produced good results. The main disadvantage of GA is time consuming problem. In this paper, the Improved GA (IGA) with good initial solution was proposed to reduce the GA execution time. Keywords: Genetic Algorithm,Cloud Computing ,Quality of Service;

Group Recommender System for Learners Based on Learning Styles and Knowledge Levels

Abstract: E-Learning recommender system is an important information exploration paradigm that retrieves relevant learning resources to learners based on their preferences expressed implicitly or explicitly while studying using e-learning systems. The work presented in this paper is an attempt towards addressing the problem of recommending learning resources to facilitate a group of learners in e-learning environment. We analyze the desiderata of group recommendations for learners and propose an effective group recommendation procedure that improves not only the group recommendation effectiveness but also the satisfaction of individual group members. First of all, we generate individual resource satisfaction to each member of a group by employing collaborative filtering framework utilizing both the learning styles and the knowledge levels. Thereafter, we formalize the problem of group recommendation and construct the group consensus function that aims at maximizing resource satisfaction as well as agreement between group members. Experimental results are presented to demonstrate the effectiveness of proposed group learning recommender system. Keywords: Elearning; Recommender System; Collaborative Filtering; Learning Styles;Knowledge Levels;

Investigating the effects of melatonin and resveratrol agents on non-alcoholic fatty liver disease

Abstract: Non-alcoholic fatty liver disease (NAFLD) is one of the common liver diseases. Diagnosing and investigating the effect of substances used in treating this disease are performed by experts who examine histopathological tissue sections under microscope. However, this approach is prone to errors and subjective depending on personal experience of the expert. The purpose of this study is: with the help of computer- aided diagnosis systems to investigate the effects of Melatonin and Resveratrol agents on histopathological liver tissue sections damaged by applying carbon tetrachloride (CCl4) composition. The proposed system aims to eliminate the tendency to subjectivity and error by providing information compiled by calculating the rate of fat vacuoles in the form of macrovesicular and microvesicular in hepatocytes and the number of hepatocytes quantitatively to an expert. As a result, an expert can perform objective and quantitative assessment in diagnosing, grading and evaluation of the effects of Melatonin and Resveratrol substances on damaged liver tissue. Keywords: K-Means, CAD, computer aided diagnosis, NAFLD, analysis of histopathological images;

Survey of teaching practices with educational software for mathematics in Brazil

Abstract: Educators seek alternative ways to make mathematics education more meaningful. The objective of this study was to conduct a survey on teaching practices employing educational software and software assessment methodologies used by mathematics educators at some of the best schools in Brazil. The study was carried out at eleven middle schools with ties to Brazilian public universities. Data was collected by means of electronic questionnaires sent via e-mail to teachers of 6th to 9th grade mathematics. Twenty-two types of educational software for teaching mathematics were in use. None of the teachers mentioned using assessment methodologies in the selection of educational software. Keywords: Teaching practices, educational software, assessment methodologies;

A new complex-valued intelligent system for automated epilepsy diagnosis using EEG signals

Abstract: The study proposes a new method for the diagnosis of epilepsy from EEG signals based on complex classifiers First of all, 8 effective feature extraction algorithms were used in order to identify meaningful information from EEG signals In later phases, 8 feature values were presented as introduction to the complex valued neural network (CVANN) Two different classification experiments were undertaken with the help of the developed model: 1) the classification of healthy volunteers, epilepsy patients during seizure and epilepsy patients during a seizure-free interval, 2) the classification of epilepsy patients during seizure and healthy volunteers The evolution of the proposed system is conducted using k-fold cross-validation, classification accuracy (CA), sensitivity and specificity values The proposed approach identified EEG signals with 9701% and 100% accuracy in the first and second experiments respectively The stated results show that the proposed method is capable of designing a new intelligent assistance diagnostic system Keywords: Complex-valued neural network, EEG signals, epilepsy disease;

Developing an Early Warning System for Currency Crises in Turkey

Abstract: People or firms, who can predict crises, can turn chaotic environment of crises into an environment with many opportunities. On the other hand, people or firms, who cannot predict crises, can face the negative effects of crises such as unemployment and getting poor. Especially for firms, having an early warning system for currency crises will enable them to plan raw material requirements, production or service capacity, stock levels, marketing strategies and cash requirements. With a good plan negative effects of crises can be minimized. The main purpose of this paper is to develop an early warning system to predict the currency crisis. In this study, a data set covering the period of January 1992 - December 2011 of Turkish economy is used, and an early warning system has been developed with Artificial Neural Network (ANN) models such as Multi-Layer Perceptron (MLP) and Radial Basis Function Networks (RBFN), Support Vector Machine (SVM) and Logistic Regression Models. Financial Pressure Index (FPI) is calculated as a result of percentage changes in dollar exchange rate, gross foreign exchange reserves of the Central Bank, and overnight interest rate. Financial Pressure Index is used as the dependent (crises) variable, while thirty-two macro-economic indicators are used as the independent variables. Three models, which are tested in Turkish case, have given clear signals anticipating 1994 and 2001 crises 12 months before. In addition, all three of the model predictions of a currency crisis, according to Turkey's economy, are not expected (ceteris paribus) until the end of 2012. Keywords: Early warning system, currency crisis, radial basis function networks, support vector machines, multi-layer perceptron, logistic regression;

Moving from Learning Management Systems to the e-Learning Cloud

Abstract: The academic world is influenced nowadays by two main opposite factors: the globalization of the economic crisis and the requirement for the universities to have a powerful IT infrastructure, able to host the educational and demanding research activities. Because many universities do not have the possibility to increase their costs for higher education in order to provide the desired infrastructure for the e-learning services, the Cloud Computing platforms could be the best solution for developing highest quality educational activities. Many higher education institutions offer LMS’ on Private Clouds, having their own infrastructure and using open-source software, such as Blackboard, Moodle or Claroline. Thus is unavoidable that, after a certain amount of time, resources don’t become obsolete or at least insufficient, that the system will be prone to security risks, and students and teachers will desire to involve in the world-wide information exchanges, meaning that a new target will arise: migration to a Community Cloud, or even better, Public Cloud infrastructure. In this paper, we will present the structure and the functionality of e-Learning Cloud concept and the possibility to move the traditional LMS to the cloud computing infrastructure. Also, we propose two options for building a Public Cloud e-Learning in academic environment, the main difference between them being the fact that one is a commercial solution based on IBM technology, and the other is a free alternative based on the Docebo Cloud platform. Migrating university LMS on Cloud nation-wide is a matter that requests government implication for allocating the funds and adapting legislation to this educational approach. Although, the economic situation in the last five years and the pressure from the academic environment to promote equality of chances for all students and increased quality for the learning process will contribute to the adoption of this approach in the future. Keywords: E-Learning, Cloud computing, academic collaboration;

Use case driven based rules in ensuring consistency of UML model

Abstract: In developing an information system, software specification is one of the general activities to any software development methodologies. A software model is among widely technique to specify software functionalities and constraints. Unified Modeling Language (UML) is a famous language to specify, construct, visualize and document software. UML model may consist of different diagrams which describe different aspects or views of an information system. This situation opens to consistency problem where two or more overlapping elements of the different diagrams are not jointly satisfiable. It is very crucial to ensure a UML model is consistent as it is one of the attributes in measuring the quality of UML model. Although there are increasing researches on consistency management, there are still lack researches of consistency driven by use case and most of existing researches not using the standard abstract syntax that make existing approach difficult to apply in industrial software development. Therefore, this paper proposes three consistency rules between use case-sequence diagram and use case-class diagram. Besides that two consistency rules between sequence-class diagram also proposed. The abstract syntaxes that involved in the proposed consistency rules of each diagram are formally defined using logical approach. Finally, the consistency rules are formally reasoned. Keywords: UML; Use Case Driven; Consistency rules; Logical approach;

Promoting the Nano - Technology Concepts in secondary Science Education Through ICT Tools − the Romanian and Turkish teachers' Perception

Abstract: The paper presents a study developed in the frame of LLP KA3-ICT project no. 511787-LLP-1-2010-1-TR-KA3-KA3MP: “Nano-Tech Science Education” that aims to use ICTs as a tool to make the learning of science subjects more attractive and accessible. Trying to increase the learners’ motivation in science studies (The Educational Council of European Union Report, 2001), teachers and students were asked about how to introduce the new scientific concepts related to nano-materials and nano-technologies in the classroom, to be easy and better understood. The paper includes only the analysis of the science teachers’ answers from the Turkish and Romanian secondary education in order to identify the most suitable tools for introducing the nano-materials and nano-technologies in science lessons. Based on their feedback, the partnership decided to set up a specific Nanotech Virtual Lab and use the proper ICT tools during the project. Keywords: Science education, ICT tools, NTSE project, teachers’ feedback, Lifelong Learning Programme;

A survey on heuristic task scheduling on distributed systems

Abstract: As massively distributed systems become more and more popular, scientists are facing new challenges on these systems. One of major factors¬ in determining distributed systems performance is how a system implements its scheduling policies. Although there are several implementations, they often suffer from long execution time to find the optimum solution. Using soft computing techniques for task scheduling on distributed systems seems to be a good idea to solve the scheduling problem. In this paper, a survey on different heuristic task scheduling algorithms on distributed systems is presented. Keywords: distributes systems, scheduling, soft computing;

E-service websites quality measurement through a revised E-S-Qual

Abstract: The growth of online business emerged variety of studies about customer’s satisfaction, trust, acceptance, technology readiness and etc. Most of scales do not provide a comprehensive assessment of web site’s service, though different researchers have proposed scales to measure websites’ attributes and efficiencies. This paper outlines a study that investigates and rescales the dimensions of E-S-QUAL model, proposed by Parasuraman, Zeithaml and Malhotra (2005), for websites which are merely offering E-service instead of selling goods. The other objective was to evaluate a university web site and its’ student satisfaction. For this purpose, data were collected through Iran Azad university web site. Brief modifications were done to E-S-QUAL model. Also, validity and reliability tests approved that the scale fitted to e-service. Keywords: E-service Quality, E-S-QUAL, Web Site Quality Management;

eLearning through Interactive Games

Abstract: The purpose of this research is to shed light on the possibility of using gamification principles in order to reconsider the eLearning systems design process For this reason we identify and use the best suited elements from gamification and propose an eLab design methodology This way, the laboratory students’ activities from a certain discipline are like a gaming experience that simulates real industrial environments The student gets points by doing the laboratory tasks and conquers a place in his group leader board, gathering badges that reflect his current work experience and skills These badges are similar to different job positions from a real workplace For certain types of courses, there can be implemented different sequences of laboratory activities from which the student can choose These represent different “virtual professional routes” Keywords: eLearning, gamification, eLab, virtual reality;

Guided-Based Usability Evaluation On Mobile Websites

Abstract: We live in a mobile world and usability is an important issue for mobile. Considering two mobile websites, how can you tell one of them is more usable and more user friendly than the other one? This paper shows how to make a usability evaluation on mobile websites. It covers many guidelines and researches offered to designers to make user friendly interfaces. In this study we introduce a Usability Evaluation tool that provides an environment for usability experts and describe how we use it in our Guided-Based Usability Evaluation Model. This study is aimed to contribute to mobile usability area which is an important and hot topic. Keywords: Mobile Websites, Usability Evaluation, a mobile world;

The Purpose and Potential of Clusters: Theoretical Background and a Case Study

Abstract: The main focus of the paper is knowledge management, knowledge and technology sharing and the influence of communication and cooperation within clusters. Dynamic and highly competitive conditions require gaining a unique competitive advantage. The clusters provide an effective resource utilisation, costs decrease and processes improvement. The attitude of clusters varies significantly and ineffective ones should learn from the successful ones to enhance not only their performance, but also to sustainably develop the regional and national economy. Therefore, the cluster principles with the provided advantages and disadvantages are discussed. Moreover, the case study of a real cluster is described in detail. Keywords: Cluster, cluster cooperation, competitive advantage, information sharing, knowledge management, knowledge transfer, technology sharing;

Balanced the Trade-offs Problem of ANFIS using Particle Swarm Optimization

Abstract: Improving the approximation accuracy and interpretability of fuzzy systems is an important issue either in fuzzy systems theory or in its applications. It is known that simultaneous optimisation both issues was the trade-offs problem, but it will improve performance of the system and avoid overtraining of data. Particle swarm optimisation (PSO) is part of evolutionary algorithm that is good candidate algorithms to solve multiple optimal solution and better global search space. This paper introduces an integration of PSO for optimising the ANFIS learning especially for tuning membership function parameters and finding the optimal rule for better classification. The proposed method has been tested on four standard dataset from UCI machine learning i.e. Iris Flower, Haberman’s Survival Data, Balloon and Thyroid dataset. The results have shown better classification using the proposed PSO-ANFIS and the time complexity has reduced accordingly. Keywords: ANFIS, Interpretability, Accuracy, Evolutionary algorithms, Particle Swarm Optimisation;

Webification of Software Development: General Outline and the Case of Enterprise Application Development

Abstract: We present a view on the changes in software processes activated by the evolution of the World Wide Web, which shifts the software development more and more towards on-line practices. This includes not only the shift towards the use of web-based resources in software processes, but also and more importantly it opens a space for using approaches originally devised for the Web (as a network of interconnected content) to support the software development process. We envision the concept of collaborative software development to improve software quality and development efficiency by using both implicit and explicit user (software developer)

Formation Of Creative Thinking Of Students On Physics By Means Of Electronic Resources

Abstract: This article deals with scientific and methodical fundamentals of use of computer models of experiments and demonstrations, and also virtual laboratory complexes in forming of creative thinking of higher school students on physics. It is well-known that use of computer models of various physical processes and phenomena promotes learning efficiency of students to a training course of physics, allows them to comprehend mechanisms of the physical phenomena and processes. In this regard now at the International Kazakh-Turkish University named after K. A. Yasavi much attention is paid to development of technical base of use of information and telecommunication technologies when training students in physics, electronic resources are developed for use when training in physics. By means of use of computer models of experiments and demonstrations it is possible to compensate a lack of the equipment in the physical laboratory and thus, to teach students to get independently physical knowledge during physical experiment on virtual models, that is there is a real possibility to form creative thinking at students and increase informative activity on physics. Keywords: computer models, electronic resources, creative thinking, informative activity, computer technologies;

Do virtual groups experience less conflict than traditional teams

Abstract: Research on virtual teams has increased in the last decade, however, is not yet clear whether the dynamics of virtual teams differ from those of face to face groups. Also in virtual groups conflict is considered a critical factor for team functioning. The purpose of this paper is to explore sources of conflict in virtual teams (size, task, CMC communication modalities, degree of collaborative learning) and verify whether asynchronous online educational groups go through the same sequential development model stages proposed for face-to-face groups. Eighty-four psychology majors were randomly assigned to four seminar groups where student worked both in small subgroups and larger groups. We used two content analysis methods: paper-and-pencil and T-LAB software. Results show that asynchronous collaborative learning groups follow a sequential model of group development, but do not present the conflict stage. T-LAB content analysis seems to be less efficient in understanding conflict processes. Keywords: Virtual group conflict; group development; group process; CSCL;

Harmonics Analysis of the 3-Phase Electric Arc Furnace Using Models of the Electric Arc

Abstract: This paper investigates how the electric arc of the 3-phase electric arc furnace operates in order to be analysed the magnitude of the current harmonics of the electric arc, the voltage harmonics of the electric arc and the voltage harmonics at the point of common coupling. In order to obtain the current harmonics and the voltage harmonics, models of the electric arc will be used. These models will be implemented in Simulink and by simulation, the static voltage-current characteristic of the electric arc will be obtained. Also, using Fourier transform, the current harmonics and the voltage harmonics were obtained. In this paper, the total harmonic distortion for all the models will be presented. Keywords: Electric arc furnace, current harmonics, models of the electric arc, energy quality;