23 Articles Published

1. BOTNET COMMAND AND CONTROL TRAFFIC DETECTION CHALLENGES: A CORRELATION-BASED SOLUTION

Authors: IBRAHIM GHAFIR , VACLAV PRENOSIL , MOHAMMAD HAMMOUDEH

Abstract: While high-speed computer networking and the Internet brought great convenience, a number of security challenges also emerged with these technologies. Amongst different computer network security threats, like viruses and worms, botnets have become one of the most malicious threats over the Internet. In this paper, we describe key research challenges in developing effective intrusion detection systems for botnet command and control traffic detection. Then, we outline a new approach to address such challenges, which is based on voting between intrusion detection methods to collaboratively identify command and control traffic. Each detection method analyzes the network traffic to detect one technique used for command and control communications. Four detection methods are initially investigated, these are: malicious IP address, malicious SSL certificate, domain flux and Tor connection detection. Initial analysis shows that the proposed voting-based intrusion detection significantly reduces

Keywords: Cyber attacks, malware, botnet, command and control server, intrusion detection system.

Pages: 1 - 5 | DOI: 10.15224/978-1-63248-113-9-01

2. THE USE OF E-LEARNING SYSTEMS FOR PEDAGOGY: WHAT ZIMBABWEAN EDUCATORS SAY

Authors: ELSJE SCOTT , SIBUSISIWE DUBE

Abstract: This paper examines the Zimbabwean educators’ perceptions about e-learning systems in pedagogy. We use the term “educators” to refer to the teaching staff at a university context. The paper sought to present the views of the educators about e-learning. It is our assumption that these views could assist in explaining the existent second order digital divide currently persisting in higher education institutions in African developing nations such as Zimbabwe. The digital divide has resulted in a mismatch between the wide spread investment and the actual use of Information and communication technologies (ICT) like the e-learning systems. The anticipated contributions of such systems to education are yet to materialize since their pedagogical use in teaching and learning is still at its infancy. Higher education institutions are being robbed of the returns from the costly technological investments while digital natives are deprived of the ICT affordances, which their first world counterpart

Keywords: Pedagogy, e-learning, Learning Management Systems, perspectives, educators, Higher education institutions, Zimbabwe

Pages: 6 - 10 | DOI: 10.15224/978-1-63248-113-9-02

3. AUTOMATIC IMAGE ANNOTATION USING PHOW FEATURES

Authors: ALIAA A. A. YOUSSIF , HOWIDA YOUSSRY ABD EL NABY , SHEREEN A. HUSSEIN

Abstract: Image annotation is a task of assigning a set of semantic tags or keywords to unlabeled image based on a training set of data. This machine learning process depends on extraction and clustering the low-level features of images then mapping them to the semantic which is high-interest image retrieval. Many annotation techniques with reasonable performance have proposed in the last decade. The proposed algorithm for automatic annotation in this paper depends on similarity computation and label transferring to the query image. Similarity computing uses low-level image features and significant distance estimates. The feature vector of the test image compared with the feature matrix of similar and dissimilar image pairs in the training data sets. Then the label or keyword transfer from the similar image pair to the test image is performed by counting the local frequency of neighbor’s keywords. Performance is evaluated using precision and recall.

Keywords: Automatic Image Annotation, Similarity, Feature Matrix, PHOW

Pages: 11 - 15 | DOI: 10.15224/978-1-63248-113-9-03

4. USE OF BENCHMARKING DATA FOR EFFECTIVE MANAGEMENT OF SOFTWARE DEVELOPMENT & ENHANCEMENT PROJECTS – CASE STUDIES AND THE ISO/IEC 29155 NORM

Authors: BEATA CZARNACKA-CHROBOT

Abstract: The Software Development and Enhancement Projects (SDANDEP) management is an area of software engineering that is not proving to be particularly highly effective. One of the major effects of this status quo is a waste of considerable sums of money having been invested in projects of this type. While one of the major causes is inability to plan duration and costs of the realization of such projects. On the other hand, this results, among others, from the fact that collecting and use of reliable benchmarking data that would provide possibility to determine dependence between the project’s product size and work effort and its duration in specified realization conditions, is still rare. The goal of this paper is to demonstrate several examples of case studies employing such data, for which these data contributed to the increase in the effectiveness of management of the discussed projects, executed in public administration institutions. The paper also analyzes the source with general benchm

Keywords: software development and enhancement projects, estimation, benchmarking data, ISO/IEC 29155, case studies

Pages: 16 - 21 | DOI: 10.15224/978-1-63248-113-9-04

5. INFORMATION FUSION AS KNOWLEDGE EXTRACTION IN AN INFORMATION PROCESSING SYSTEM

Authors: ADANG SUWANDI AHMAD , ARWIN DATUMAYA WAHYUDI SUMARI

Abstract: Knowledge extraction is a means of obtaining knowledge from a phenomenon occured in the environment. Knowledge extraction as part of a process within an information processing system is a very easy task for human brain to do. In this paper we present a new technique for knowledge extraction called information fusion. In the creation of new knowledge, the brain does inferencing to obtain an inference. In essence, when doping the inferencing, the brain is fusing information obtained from the environment with the knowledge already stored in it. The obtained inference is new knowledge of the system while the occured mechanism is called as knowledge extraction. We have developed a method called A3S (Arwin-Adang-Aciek-Sembiring) for knowlegde extraction that was already applied to our system called Knowledge-Growing System (KGS). We also present an example with real-life data to show the work of A3S in performing knowledge extraction.

Keywords: A3S, Artificial Intelligence, information fusion, knowledge extraction, KGS

Pages: 22 - 27 | DOI: 10.15224/978-1-63248-113-9-05

6. ADANG SUWANDI AHMAD

Authors: K. A. DOTCHE , WILLIE K. OFOSU

Abstract: The spectrum is a limited resource in which great deeds have been achieved wirelessly. Noting that the spectrum efficiency could be obtained with the joint deployment of macro-cell and nano-cells, small scale cellular and dense cellular network in the next generation of mobile networks. However, the energy efficiency may be achieved by addressing some new architectures and medium access control (MAC) protocols that may lead to fast recovery from sleep mode when in cooperative communications, not only but also the topology of distributed antenna networks’ coordination remains prominent candidate. The paper investigates the optimization of both the area spectral efficiency (SE) and the energy efficiency (EE) by considering a typical Orthogonal Frequency Division Multiplexing Access (OFDMA) downlink network. It further introduces a novelty constraint, the coverage sensitivity criterion in solving the optimization problem. This constraint aims at deleting empty transmission block where no

Keywords: Theoretical formulation, multi-objective problem, coverage sensitivity, power minimization, spectrum efficiency

Pages: 28 - 32 | DOI: 10.15224/978-1-63248-113-9-06

7. A NEW NOTE ON SUMMABILITY OF FACTORED INFINITE SERIES

Authors: SEBNEM YILDIZ

Abstract: In this paper, two main theorem dealing with infinite and factored Fourier series, which generalizes some known results, has been generalized to summability method. This new theorem also includes several known and new results.

Keywords: Summability factors, absolute matrix summability, Fourier series, infinite series, Hölder inequality, Minkowski inequality

Pages: 33 - 36 | DOI: 10.15224/978-1-63248-113-9-07

8. DISTORTION PERFORMANCE OF CONVOLUTIONALLY CODED UNDERWATER ACOUSTIC NETWORKS

Authors: ANDREJ STEFANOV

Abstract: The paper studies the impact of point-to-point convolutional channel coding on the sustainable number of hops through the network for a maximum allowed route distortion requirement. The network is modeled by a uniform distribution of nodes over a finite area. The node-to-node channel is described by the Ricean fading model, while the interference from other nodes in the network is modeled as Gaussian. Numerical examples are presented to illustrate the results of the analysis.

Keywords: underwater acoustic networks, fading.

Pages: 37 - 40 | DOI: 10.15224/978-1-63248-113-9-08

9. INTEGRATION IN INFORMATION SYSTEMS MANAGEMENT

Authors: SEPPO J. SIRKEMAA

Abstract: Information systems management is challenged to deliver robust and reliable solutions that make business activities possible on a daily basis. at the same time systems and infrastructures should support achieving strategic goals. Information technology is expected to be flexible even in turbulent environments, making it possible to rapidly create new business and take advantage of business opportunities in the best possible way. Clearly, this is a significant challenge for information systems management, and calls for understanding of business goals, strategies, and the capabilities that information systems potentially provide. Overall, information systems management is a challenge which is often connected to integration of business and technology in the organization. Business managers are seldom technology experts, and vice versa. Accordingly, there is a need for understanding what technology, infrastructure and information systems in the organization can do to support business goals.

Keywords: information systems, integration, infrastructure, technology, modularity, flexibilit

Pages: 46 - 50 | DOI: 10.15224/978-1-63248-113-9-10

10. PLANNING OF SMART CITIES: PERFORMANCE IMPROVEMENT USING BIG DATA ANALYTICS APPROACH

Authors: BHAGYA NATHALI SILVA

Abstract: The concept of smart city is widely favored, as it enhances the quality of urban citizens’ life, involving multiple disciplines. Consequent to the complex urban networks, data processing complexity has increased significantly. Thus, it creates a crucial demand to facilitate autonomous decision-making and real-time data processing and analysis of smart cities. Therefore, in this paper we propose a smart city framework based on Big Data analytics. The proposed framework operates in three levels 1) Data generation and acquisition level, 2) Data management and processing level, and 3) Application level. Moreover, we analyzed the water consumption, traffic congestion, and air pollution data of Surrey (Canada) and Aarhus (Denmark) cities to determine the threshold values for data filtering. The analysis shows that the proposed architecture offers useful insights to the community development authorities to improve the existing smart city architecture.

Keywords: Smart city, big data, urban planning

Pages: 51 - 55 | DOI: 10.15224/978-1-63248-113-9-11

11. ADAPTATION OF E-LEARNING USING VIRTUAL TEACHER

Authors: ALES OUJEZDSKY , MILAN PASTYRIK , ONDREJ TAKACS , PETR SKUTA

Abstract: This paper deals with automatic adaptation of e-learning courses. The adaptation tailors the course content in given situation to the student’s learning styles. This paper describes the Virtual Teacher that uses a set of rules to automatically adapt the teaching style. These rules compose of two parts: conditions on various students’ properties or learning situation; conclusions that specify different adaptation parameters. The rules can be used for general adaptation of each subject or they can be specific to some subject. The rule based system of Virtual Teacher is dedicated to be used in pedagogical experiments in adaptive e-learning and is therefore designed for users without education in computer science

Keywords: e-learning; adaptation; virtual teacher; teaching style; learning style

Pages: 56 - 59 | DOI: 10.15224/978-1-63248-113-9-47

12. PLANNING OF SMART CITIES: PERFORMANCE IMPROVEMENT USING BIG DATA ANALYTICS APPROACH

Authors: BHAGYA NATHALI SILVA , CHANGSU JUNG , JEONGYUN KANG , JIHUN SEO , JINBAE KIM , KIJUN HAN, MURAD KHAN

Abstract: The concept of smart city is widely favored, as it enhances the quality of urban citizens’ life, involving multiple disciplines. Consequent to the complex urban networks, data processing complexity has increased significantly. Thus, it creates a crucial demand to facilitate autonomous decision-making and real-time data processing and analysis of smart cities. Therefore, in this paper we propose a smart city framework based on Big Data analytics. The proposed framework operates in three levels 1) Data generation and acquisition level, 2) Data management and processing level, and 3) Application level. Moreover, we analyzed the water consumption, traffic congestion, and air pollution data of Surrey (Canada) and Aarhus (Denmark) cities to determine the threshold values for data filtering. The analysis shows that the proposed architecture offers useful insights to the community development authorities to improve the existing smart city architecture.

Keywords: Smart city, big data, urban planning

Pages: 51 - 55 | DOI: 10.15224/978-1-63248-113-9-11

13. OPTIMAL OVERCURRENT RELAY COORDINATION USING HYBRID GENETIC ALGORITHM AND LINEAR PROGRAMMING METHOD

Authors: BEDRI KEKEZOGLU , HASAN CAN KILICKIRAN , HUSEYIN AKDEMIR , IBRAHIM SENGOR

Abstract: Power systems are exposed to various faults, such as phase-phase, phase-ground, 3-phase-ground during their operations. Due to fault type and location, some part of the system cannot be supplied when a fault occurs. Moreover, this issue not only reduces power quality parameters but also increases total energy cost of the system. Overcurrent relays are widely used tools for detecting and clearing fault in power systems. In addition to this, relays must be operated in a harmony whilst fault occurs. The coordination among relays can be quarantined by arranging their characteristics through adjusting their parameters. In conventional approach, operation characteristics of relays depend on two variables namely, pick up current (Ip) and time multiplier settings (TMS). In recent decades, several studies about optimization of relay coordination problem have been done. Since relay coordination problem is a non-convex optimization problem, most of studies has been used heuristic optimization tec

Keywords: relay coordination, power systems, optimization, genetic algorithm, linear programming, hybrid, distributed generation

Pages: 60 - 63 | DOI: 10.15224/978-1-63248-113-9-48

14. RESOURCE OPTIMIZATION FOR M2M FLEET MANAGEMENT COMMUNICATIONS IN 5G NETWORKS

Authors: NOUREDDINE BOUDRIGA , SIHEM TRABELSI

Abstract: The fifth generation of mobile networks is expected to include Internet of Things (IoT) as an important innovative kind of accessibility. Various Machine to Machine (M2M) services will be provided through this type of connectivity. Requirements of these services are various mainly in term of security and quality of service. Some of these services, such as fleet management, are time sensitive and generate a considerable amount of signaling messages. In this paper, we propose an innovative framework in order to optimize the quality of service for fleet management M2M communications through the reduction the signaling overhead.

Keywords: Resource management, Fleet tracking, Fifth generation (5G)

Pages: 64 - 68 | DOI: 10.15224/978-1-63248-113-9-49

15. ENHANCING ARABIC PHONEME RECOGNIZER USING DURATION MODELING TECHNIQUES

Authors: MOHAMED O.M. KHELIFA , MOSTAFA BELKASMI , YAHYA O.M. ELHADJ , YOUSFI ABDELLAH

Abstract: In some languages like Classical Arabic (The language of the Holy Quran), phoneme duration is considered as a distinguishing cue in Quranic phonology. Phonological variation of phonemes occurrences contributes to an inaccurate pronunciation of phonemes and therefore inaccurate ASR system. Thus a good phonemes duration modeling can be an essential issue. Currently, the most effective models used in automatic speech recognition (ASR) systems are based on statistical approaches namely Hidden Markov Model (HMM). In standard HMM speech recognition framework, the duration information is poorly employed. However, previous studies have demonstrated that using an HMM with explicit duration modeling techniques have improved the recognition performances in many targeted languages. This paper presents an important phase of our ongoing work which aims to build an accurate Arabic recognizer for teaching and learning purposes. It presents an implementation of an HsMM model (Hidden semi-Markov Model)

Keywords: Hidden Markov Model (HMM); Hidden semiMarkov Mode (HsMM); Gamma Distribution; Gaussian Distribution

Pages: 69 - 73 | DOI: 10.15224/978-1-63248-113-9-53

16. IMPLEMENTATION OF FAULT DIAGNOSIS IN A DYNAMIC PROCESS

Authors: A. CHATZINIKOLAOU , C. ANGELI

Abstract: The increasing complexity of industrial systems leads to increased requirements concerning diagnosis capabilities. An intelligent process monitoring and fault diagnosis environment has been developed by interfacing a data acquisition and control software with a knowledge base system in an effective way. The abrupt changes of important system’s variables are continually captured, analysed and compared with the relevant estimated values and the results are used for the final knowledge based diagnostic conclusions. The presentation of the implementation and developing of the intelligent monitoring process is the overall goal of this paper.

Keywords: Modelling, Simulation, Fault diagnosis, Dynamic Process.

Pages: 74 - 79 | DOI: 10.15224/978-1-63248-113-9-54

17. TECHNIQUE PROPOSE FOR INTEGRATION AND COMPATIBILITY OF TRAFFIC COMPUTERS AND LOCAL TRAFFIC CONTROL EQUIPMENT INSTALLED IN BOGOTA D.C. TO A TRAFFIC CENTRAL WITH OPEN PROTOCOL UNDER AENOR NORMS, USING THE CURRENTLY COMMUNICATION NETWORK

Authors: ESAU CHAVEZ , GIOVANNY MAURICIO TARZONA B. , JOSE IGNACIO RODRIGUEZ.

Abstract: The mobility inside a city is an indicator of the life quality of his population. When the technological infrastructure in whish are supported the traffic systems hasn’t enough capabilities, makes a deterioration in the individual capabilities for travel inside his environment, The traffic lights system in Bogota needs a upgrade process because it count whit technological platforms with more than 30 years of service. This article shows the techniques characteristics of the traffic computers and local traffic control equipment in existence in the traffic lights system of Bogota and projected a minimal requirement for the integration of the infrastructure of the traffic lights inside a traffic intelligent system (SIT).

Keywords: Mobility, traffic lights, transport, traffic control equipment, traffic intelligent system, traffic management centers

Pages: 80 - 85 | DOI: 10.15224/978-1-63248-113-9-55

18. IN THIS PAPER A TVWS AVAILABLE SPECTRUM IS CALCULATED, APPLYING SOME PROCEDURES DEFINED FOR REGULATORY AUTHORITIES. THE COVERAGE WAS ESTIMATED USING THE LONGLEY RICE METHOD AND THE FCC RECOMMENDATION WAS APPLIED TO DELIMIT GEOGRAPHICAL ZONES, DEFINING THE OCCUPIED AND FREE FREQUENCIES

Authors: CUEVAS-RUIZ , J.L.

Abstract: In this paper a TVWS available spectrum is calculated, applying some procedures defined for regulatory authorities. The coverage was estimated using the Longley Rice method and the FCC recommendation was applied to delimit geographical zones, defining the occupied and free frequencies

Keywords: TVWS, Longley-Rice.

Pages: 86 - 89 | DOI: 10.15224/978-1-63248-113-9-60

19. PORTABLE RESPIRATORY CO2 MONITORING DEVICE FOR EARLY SCREENING OF ASTHMA

Authors: AIMI NURIFHAN , M. B. MALARVILI , OM PRAKASH SINGH , SAMEEN AHMED MALIK

Abstract: This paper presents a portable and patient independent respiratory CO2 monitoring device for early screening of asthma. The device is developed incorporation of hardware (Sprint IR CO2 sensor with a sampling rate of 20 Hz, face mask, Atmega 328 microcontroller and graphical liquid crystal display-GLCD) and software (Arduino integrated development environment). The Transistor-Transistor Logic (TTL) communication was used to transmit and receive the signal from the host (microcontroller) to sensor and vice versa. Further, the computation and transmission algorithm was developed to process and display the CO2 signal on GLCD. In addition, the signal processing techniques were used to discriminate mild stage of asthma and non-asthma condition. In this preliminary study, the developed device was tested on 20 subjects aged between 20 and 25 years. Out of those, 5 were suffering from mild asthma and 15 were without asthma. The performance of the developed prototype device was confirmed through

Keywords: Asthma; Sprint IR CO2 sensor;Arduino;GLCD;

Pages: 90 - 94 | DOI: 10.15224/978-1-63248-113-9-61

20. KNOWLEDGE MANAGEMENT IN THE TERRITORIAL INTELLIGENCE

Authors: FLOR NANCY DIAZ PIRAQUIVE , LUIS LEONARDO RODRIGUEZ BERNAL , VICTOR HUGO MEDINA GARCIA

Abstract: This article introduces the concepts of territorial intelligence, knowledge management and intellectual capital with the purpose of establishing the links in the multidisciplinary scientific field, whose sustainable development is a territory and its subject is a community with its intellectual capital. In order to achieve this purpose, a few tools were applied that provide the method Catalyse, making an analysis of the data (qualitative, quantitative and space) of the information through the use of a software generating as a result some profiles defined, by grouping them according to their socio-economic characteristics and environmental, based on the number of answers frequency found, by creating categories or classes. In this way, the socio-territorial variables are related, with a geo-statistics analysis that serves to support the researcher’s knowledge, the actors and their governance, in making decisions about the planning and territorial intelligence development. Finally some co

Keywords: Intellectual capital, knowledge management, territorial intelligence, catalyse method.

Pages: 95 - 99 | DOI: 10.15224/978-1-63248-113-9-62

21. RELATIONSHIP AND CLOUD FACTORS AFFECTING GOVERNMENT CONFIDENCE IN THE PUBLIC CLOUD

Authors: FENG CHEN , WALEED ALGHANIM

Abstract: Despite the advances in public cloud and the associated advantages governments are still reluctant to deploy sensitive data and critical systems into the public cloud. The advantages of scalability and cost are attractive for governments and the current direction for governments is to place more of their data and systems in the public cloud towards a more comprehensive government cloud solution. However, there are major concerns related to the public cloud that are especially significant to governments which include governance over data and systems, compliance and security and privacy. If these concerns are answered governments will perceive less risk and be more confident to deploy to the public cloud. Beside the technical solution of improving security, one of the solutions to this concern is an effective relationship between government and cloud service provider. This study investigates the relationship factors between government and cloud service provider and the associated cloud f

Keywords: public cloud, government, relationship, confidence

Pages: 100 - 104 | DOI: 10.15224/978-1-63248-113-9-69

22. TRAFFIC OPTIMIZATION AND MONITORING TERMINALS IN AD-HOC NETWORK THROUGH ANT COLONY SYSTEM

Authors: BRAYAN S. REYES-DAZA , MIGUEL A. CHITABA DIAZ , OCTAVIO J. SALCEDO-PARRA

Abstract: In this article, we will explore the way to optimize the traffic in ad-hoc networks. The approach presented here, uses the study of swarm intelligence, more specifically the ant colony systems (ACS) looking so each of the devices in a given network contribute decentralized to build optimal paths where must transit the information within the network.

Keywords: Ad-hoc network, ant colony system, Hamiltonian circuit, stochastic process.

Pages: 110 - 114 | DOI: 10.15224/978-1-63248-113-9-73

23. ANN, MFCC AND ITS APPLICATIONS IN SPEAKER RECOGNITION

Authors: ABDELLAH AILANEABDELLAH AILANE , MOHAMED ELJOURMI , SALAHEDDINE KHAMLICH

Abstract: This paper presents different hardware implementations of a multi-layer perceptron (MLP) and Mel Frequency Cepstrum Coefficient (MFCC) for speech recognition. Speech processing is emerged as one of the important application area of digital signal processing. Various fields for research in speech processing are speech recognition, speaker recognition, speech synthesis, speech coding etc. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. Feature extraction is the first step for speaker recognition. Many algorithms are suggested/developed by the researchers for feature extraction. In this work, the Mel Frequency Cepstrum Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system. Some modifications to the existing technique of MFCC for feature extraction are also suggested to improve the speaker recognition efficiency

Keywords: FPGA, NIOSII , Artificial Neural Network (ANN), Mel frequency cepstral coefficients (MFCC), Speaker recognition

Pages: 115 - 115 | DOI: 10.15224/978-1-63248-113-9-75