Статьи журнала - International Journal of Information Technology and Computer Science
Все статьи: 1195
Design and implementation of a benchmarking tool for openflow controllers
Статья научная
The growth of data traffic on the web, the virtualization of services, and the changes in the pattern of traffic between users and data centers have led to a reassessment of the current methods of doing network administration. Software Defined Networks (SDNs) propose a paradigm that delegate the control of packets and flows to applications, developed according to specific requirements, where the OpenFlow protocol can be used for communications. The development of this type of applications, as in any other development area, requires tests and measurement tools to facilitate a performance evaluation. However, the current open-source performance measurement applications for SDN networks cover only very basic characteristics, while there is a wide range of SDN controllers with support to many versions of OpenFlow, making the selection of the controller a difficult point to address. In this paper, we propose a distributed performance evaluation tool for SDN controllers, that can assess the throughput, latency, percentage of memory consumption, percentage of CPU utilization, and consumption in kB for input/output interfaces, using OpenFlow version 1.3. Our tool is based on Cbench, and adds new functionalities such as the graphical representation of results to analyze the outcomes. To validate our tool, we make a performance evaluation of well-known SDN controllers such as Ryu, OpenDaylight, OpenMUL, and Floodlight, in environments under great stress of requests.
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Design of 12B/14B: A Novel SERDES Encoding Technique
Статья научная
In satellite systems, large amount of high speed data is required to be transmitted from one system to another. Conventional parallel data transmission requires a large number of cables/interface-packages and results in large weight and volume. Parallel interface in a typical future camera system requires >8000 cables between camera electronics and data handling system. In addition, with increase in transmission rate, problems associated with crosstalk become more critical. One possible solution identified is serial interface, also termed as SERDES (SERializer/DESerializer) interface. A typical SERDES interface comprises of encoder/decoder, PLL, timing-control and multiplexer/de-multiplexer. Encoding of serial data solves high speed serial data transmission problems by incorporating clock embedding, DC balancing, sync info insertion and error detection. DC balancing also solves the issue of Inter-Symbol Interference (ISI). Available SERDES interface devices have limitations like poor reduction factor, no clock embedding or non-availability of space qualified part. Hence, an attempt is made to understand and implement SERDES encoder/decoder with a goal of indigenous SERDES ASIC development. Due to 12-bit input interface, a novel 12B/14B encoding technique is designed and developed. The developed technique preserves many good properties widely used 8B/10B encoding technique. FPGA simulation results achieved >50MSPS parallel rate which will lead to >700 Mpbs serial rate. Developed technique is very efficient and suitable for onboard implementation.
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Design of Fuzzy-Based Traffic Provisioning in Software Defined Network
Статья научная
This Software defined networks helps to realize extraordinary services that can be easily embedded in network operations of switch. It provokes the decomposition of the control and data planes. The control plane is more extensible, as it is unproblematic to change or introduce any new functionality into the network. It is studied that any new integration can be easily added up with a very low line of code (LOC). The work proposes a fuzzy based approach for traffic provisioning in SDN. Fuzzy Logic Control System (FLCS) is a controller comprising of two fuzzy systems- Label Switched Path setup System (LsS) and Traffic Splitting System (TSS). The computation of dynamic status of Load and Delay is utilized by LsS to arrange the paths in preference order. The attained Link Capacity and Utilization Rate are employing by TSS for maintaining congestion free path. Created three different topologies and performed ping reachability test and executed iperf testing tool for performance analysis on Mininet framework.The impact of this is to facilitate better decision making for splitting the traffic for different capable paths. Simulation setup is deployed using OpenFlow Switches and Controllers to study their performance. The packet delivery ratio remained above 98%, showing rare chances of congestion and delay was below than 2.6 seconds with TTL in range of 60-80 milliseconds.
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Статья научная
This paper presents the new algorithm of the recursive least-squares (RLS) Wiener fixed-point smoother and filter based on the randomly delayed observed values by one sampling time in linear discrete-time wide-sense stationary stochastic systems. The observed value y(k) consists of the observed value y¯(k-1) with the probability p(k) and of y¯(k) with the probability 1-p(k). It is assumed that the delayed measurements are characterized by Bernoulli random variables. The observation y¯(k) is given as the sum of the signal z(k)=Hx(k) and the white observation noise v(k). The RLS Wiener estimators use the following information: (a) the system matrix for the state vector x(k); (b) the observation matrix H (c) the variance of the state vector x(k); (d) the delayed probability p(k); (e) the variance of white observation noise v(k); (f) the input noise variance of the state equation for the augmented vector v¯(k) related with the observation noise.
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Design of a Ternary Reversible/Quantum Adder using Genetic Algorithm
Статья научная
Typical methods of quantum/reversible synthesis are based on using the binary character of quantum computing. However, multi-valued logic is a promising choice for future computer technologies, given a set of advantages when comparing to binary circuits. In this work, we have developed a genetic algorithm-based synthesis of ternary reversible circuits using Muthukrishnan-Stroud gates. The method for chromosomes coding that we present, as well as a judicious choice of algorithm parameters, allowed obtaining circuits for half-adder and full adder which are better than other published methods in terms of cost, delay times and amount of input ancillary bits. A structure of the circuits is analyzed in details, based on their decomposition.
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Статья научная
The rapid population growth in Dar Es Salaam has prompted the demand of effective transport system in the city. This tremendous rise of population led to serious road traffic congestions, which brings a number of challenges into the city and other growing urban areas. City authorities attempted various solutions to control the traffic congestions such as construction of new roads, expansion of existing roads, installation of traffic lights and other transportation infrastructures such as re-establishment of commuter train to operate within the city but they couldn’t effectively relieve the problem. Eventually, the Government of Tanzania (GoT) supported the city’s effort by establishing the organ called Dar Es Salaam Rapid Transit (DART) to supervise the implementation and operation of Bus Rapid Transit (BRT) system. The BRT system provided direct benefits to passengers such as minimal travel time, improved reliability as compared to other public transport commonly known as daladala, and reduced accident as BRT buses travel in their dedicated lanes. Despite these benefits there still persist transportation challenges with the BRT, where passengers still suffer from waiting on very long queue during ticket booking, shortage of smart cards, they are unable to check balance direct from their mobile phones, as well as they fail to top-up onto their card’s balance using their smart phones. This paper presents a software technology approach that would help passengers to check balance, send request specifying station to board a bus and check the bus arrival time at any station.
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Статья научная
The reliability of a software depends on the quality. So, the software growth models require efficient quality assessment procedure. It can be estimated by various parameters. The current paper proposes a novel approach for assessment of quality based on the Generalized Weighted Laplacian (GWL) method. The proposed method evaluates various parameters for detection and removal time. The Mean Value Function (MVF) is then calculated and the quality of the software is estimated, based on the detection of failures. The proposed method is evaluated on process CMMI level 5 project data and the experimental results shows the efficiency of the proposed method.
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Design optimization of 6-RUS parallel manipulator using hybrid algorithm
Статья научная
In this paper, we present a study on the design optimization of the 6-RUS Stewart platform using a hybrid algorithm. The geometric and kinematic models are calculated. The optimization problem is formulated after determining the design parameters and defining a set of cost functions related to the size of the workspace and to the indices of the kinematic and static performance, which are the global conditioning index (GCI) and the global stiffness index (GSI). We started by studying the relation between the design parameters and the proposed cost functions, and then we invested the genetic algorithm to optimize each cost function separately. Moreover, we adopted a weighted cost function method to solve the Multi-Objective optimization problem. The convergence performance of the genetic algorithm (GA) and the particle swarm optimization (PSO) were compared, where the PSO algorithm showed better performance. Based on this, a hybrid PSO–PS method was proposed and the results are highly competitive as we obtained better general convergence performance.
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Статья научная
Fuzzy logic is a new and innovative technology that was used in order to develop a realization of engineering control. In recent years, fuzzy logic proved its great potential especially applied to automatization of industrial process control, where it enables the control design to be formed based on experience of experts and results of experiments. The projects that have been realized reveal that the application of fuzzy logic in the technological process control has already provided us with better decisions compared to that of standard control technique. Fuzzy logic provides an opportunity to design an advisory system for decision-making based on operator experience and results of experiments not taking a mathematical model as a basis. The present work deals with a specific technological process ─ designing a support decision making information system for the operational control of the lime kiln with the use of fuzzy logic based on creation of the relevant expert-objective knowledge base.
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Designing a rule based expert systems for contact lenses patients
Статья научная
Expert systems that bring facts and valuable experiences together and make some deductions possible. Expression of relevant knowledge and experience in these structures may be in a set of rules. Learning problems are valid with expert systems. Therefore, they cannot add new rules and information automatically by themselves. Rules are created by human experts on the way and added upon the system. Classification datasets are collections of data commonly used in machine learning that contain and classify the previously obtained experiences. In this study, rules were obtained by using Part, NNge, Prism rule classifier algorithms, and a knowledge base of expert systems was systematically created to achieve enrichment. Enrichment and rule deduction process needs careful and sensitive attention. A combined methodology and study was revealed during this sensitive process. In this context, studies were conducted on five widely used datasets. It was aimed to reduce the redundant, conflicting, subsumed and circular rules in order to create a consistent and complete knowledge base. In this way, a methodology was developed to establish more powerful and richer contents of knowledge base that have higher quality.
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Статья научная
The primary objective of this paper is to design a SmartCart mobile application. The proposal centres around designing a mobile app that allows customers to engage in collaborative shopping with their family members or friends, effectively shopping together in a group. This project seeks to improve upon existing shopping mobile apps that predominantly focus on online shopping. Through the development of the SmartCart mobile application, users will have the capability to shop in physical stores while collaborating with others or their group. The application adheres to the Mobile Application Development Life Cycle (MADLC) methodology, focusing on the phases of identification, design, development, prototyping, and testing. This paper provides an in-depth description of each step within the methodology, commencing with the identification stage and culminating in the testing phase. To evaluate the application's usability, ten users from various backgrounds took part in the testing process, and their feedback, measured through the System Usability Scale (SUS), indicated a positive reception of the application. The paper presents the initial framework and design concept that preceded the development of the final SmartCart mobile application design. From a pool of around 50 paper prototypes, 18 were selected as pertinent and fitting for advancement to the subsequent stage. In this subsequent phase, the chosen designs were transformed into a medium-fidelity prototype before progressing to the actual development of the SmartCart mobile application. This paper fulfils an identified need to study how collaborative shopping mobile applications can be developed and prototyped.
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Detecting Pirated Movie’s with Similarity Assessment Based on Earth Mover’s Distance
Статья научная
Piracy is no new lesson to every user of technology. It is a giant existing in the industry of technology numbing the heights software is reaching in terms of efficiency and use in all the sectors to an extent where even the industry of enterprise, beaurocracy, technology etc. depend upon the use of software in various ways to contribute their needs and success. Dollars are running at stakes of any industry while the piracy is acting as a dominator of all illegal transactions indirectly by giving easy and such illegal access to many users. One such victim is the entertainment industry where movies are being pirated and accessed to users causing millions of dollars of loss to the entertainment industry. Many researchers and technical specialists have made their contributions to save technology. Our paper is another potential solution with a promise of accuracy rate in detecting the pirated movies. It is a known fact that primary detection is the source of prevention. Our paper puts forth a technique that efficiency detects piracy to reduce such illegal downloads using the efficient measures of signature generation, normalization in an effective manner.
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Detecting and Preventing Common Web Application Vulnerabilities: A Comprehensive Approach
Статья научная
Web applications are becoming very important in our lives as many sensitive processes depend on them. Therefore, it is critical for safety and invulnerability against malicious attacks. Most studies focus on ways to detect these attacks individually. In this study, we develop a new vulnerability system to detect and prevent vulnerabilities in web applications. It has multiple functions to deal with some recurring vulnerabilities. The proposed system provided the detection and prevention of four types of vulnerabilities, including SQL injection, cross-site scripting attacks, remote code execution, and fingerprinting of backend technologies. We investigated the way worked for every type of vulnerability; then the process of detecting each type of vulnerability; finally, we provided prevention for each type of vulnerability. Which achieved three goals: reduce testing costs, increase efficiency, and safety. The proposed system has been validated through a practical application on a website, and experimental results demonstrate its effectiveness in detecting and preventing security threats. Our study contributes to the field of security by presenting an innovative approach to addressing security concerns, and our results highlight the importance of implementing advanced detection and prevention methods to protect against potential cyberattacks. The significance and research value of this survey lies in its potential to enhance the security of online systems and reduce the risk of data breaches.
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Detection of Plagiarism in Arabic Documents
Статья научная
Many language-sensitive tools for detecting plagiarism in natural language documents have been developed, particularly for English. Language-independent tools exist as well, but are considered restrictive as they usually do not take into account specific language features. Detecting plagiarism in Arabic documents is particularly a challenging task because of the complex linguistic structure of Arabic. In this paper, we present a plagiarism detection tool for comparison of Arabic documents to identify potential similarities. The tool is based on a new comparison algorithm that uses heuristics to compare suspect documents at different hierarchical levels to avoid unnecessary comparisons. We evaluate its performance in terms of precision and recall on a large data set of Arabic documents, and show its capability in identifying direct and sophisticated copying, such as sentence reordering and synonym substitution. We also demonstrate its advantages over other plagiarism detection tools, including Turnitin, the well-known language-independent tool.
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Detection of anomalies in fetus using convolution neural network
Статья научная
Parental diagnosis is required during mid-pregnancy period from 18-22 weeks in order to know the well-being of the fetus. This diagnosis is usually done through ultrasound scanning. Ultrasound scanning which is also called as sonogram, is an ultrasound based medical imagining technique used to envision the fetus and its development during the gestation period. If there is an abnormality in the diagnosed fetus then the parents and the doctors can do emergency parental care. Anomalies in Fetus occur before birth. Detecting fetal anomalies is a difficult task since it needs expertise and also requires a considerable amount of time, which will not be convenient at an emergency situation. In order to improve the diagnosis accuracy and to reduce the diagnosis time, it has become a demanding issue to develop an efficient and reliable medical decision support system. In this paper we present machine learning approach, such as convolution neural network which is most commonly applied to examine visual pretense. The main motive behind using CNN is due to their accuracy, fewer memory requirements and better training of images. This approach have shown great potential to be applied in the development of medical decision support system for Fetal anomalies which need immediate care.
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Determination of representativity for Bangla vowel perceptual space
Статья научная
In this article, representativity between two multidimensional acoustical spaces of vowel has been formulated based on the geometric mean of correlation of average directional vector, variance-covariance matrices, and Mahalanobis distance. Generally, the multidimensional spaces formed by different combinations of acoustical features of vowel are considered as the vowel perceptual spaces. Therefore, ten bangla vowel-sounds (/অ/ [/a/], /আ/ [/ã/], / ই/ [/i/] , /ঈ/ [/ĩ/], /উ/ [/u/], / ঊ/ /ũ/, /এ/ [/e/], /ঐ/ [/ai/] , /ও/ [/o/] and /ঔ/ [/au/]) are collected from each native Bengali speaker to build the perceptual space of the speaker using the acoustical features of vowels. Similarly, total nine perceptual spaces are constructed from nine speakers and these are utilized to evaluate representativity. Using the proposed method, representativities of differently constructed perceptual spaces have been evaluated and compared numerically. Furthermore, dominating and representative acoustical features are also identified from the principal components of the perceptual spaces.
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Determining Contribution of Features in Clustering Multidimensional Data Using Neural Network
Статья научная
Feature contribution means that what features actually participates more in grouping data patterns that maximizes the system’s ability to classify object instances. In this paper, modified K-means fast learning artificial neural network (K-FLANN) was used to cluster multidimensional data. The operation of neural network depends on two parameters namely tolerance (δ) and vigilance (ρ). By setting the vigilance parameter, it is possible to extract significant attributes from an array of input attributes and thus determine the principal features that contribute to the particular output. Exhaustive search and Heuristic search techniques are applied to determine the features that contribute to cluster data. Experiments are conducted to predict the network's ability to extract important factors in the presented test data and comparisons are made between two search methods.
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Determining the Degree of Knowledge Processing in Semantics through Probabilistic Measures
Статья научная
World Wide Web is a huge repository of information. Retrieving data patterns is facile by using data mining techniques. However identifying the knowledge is tough, tough because the knowledge should be meaningful. Semantics, a branch of linguistics, defines the process of supplying knowledge to the computer system. The underlying idea of semantics is to understand the language model and its correspondence with the meaning associability. Though semantics indicates a crucial ingredient for language processing, the degree of work composition done in this area is minimal. This paper presents an ongoing semantic research problem thereby investigating the theory and rule representation. Probabilistic approach for semantics is demonstrated to address the semantics knowledge representation. The inherit requirement for our system is to have the language syntactically correct. This approach identifies the meaning of the sentence at word-level. The accuracy of the proposed architecture is studied in terms of recall and precision measures. From the experiments conducted, it is clear that the probabilistic model for semantics is able to associate the language model at a preliminary level.
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Determining the Optimum Time Quantum Value in Round Robin Process Scheduling Method
Статья научная
The process scheduling, is one of the most important tasks of the operating system. One of the most common scheduling algorithms used by the most operating systems is the Round Robin method in which, the ready processes waiting in ready queue, seize the processor for a short period of time known as the quantum (or time slice) circularly. In this paper, a non-linear programming mathematical model is developed to determine the optimum value of the time quantum, in order to minimize the average waiting time of the processes. The model is implemented and solved by Lingo 8.0 software on four selected problems from the literature.
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Developing a Virtual Group Decision Support System Based on Fuzzy Hybrid MCDM Approach
Статья научная
Organizational decisions involve with unusually vague and conflicting criteria. This controversy increases empirical uncertainties, disputes, and the resulting consequences of these decisions. One possible method in subduing this problem is to apply quantitative approaches to provide a transparent process for resolute conclusions which enables decision makers to formulate accurate and decisive on time decisions. Although numerous methods are presented in the literature, the majority of them aim to develop theoretical models. However, this article aims to develop and implement an integrated fuzzy virtual MCDM model based on fuzzy AHP and fuzzy TOPSIS as a decision support system (DDS). Preventing disadvantageous face-to-face decision-making by achieving positive benefit from virtual decision making causes the proposed DDS to be suitable for making crucial decisions such as supplier selection, employee selection, employee appraisal, R&D project selection, etc. The proposed DDS has been implemented in an optical company in Iran.
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