Статьи журнала - International Journal of Information Technology and Computer Science
Все статьи: 1195
Developing an Efficient Model for Building Data Warehouse Using Mobile Agent
Статья научная
Data-warehouse is an emerging technology with great potential. Nowadays, businesses are competing fiercely to dominate the market where profitability is promising using every available means to reach their goal. Performance and storage are big challenges in building data-warehouse focusing by researchers recent years. In this paper a new model for developing an efficient data warehouse by using mobile agent technology has been proposed. The main idea behind this model is to use the mobile agent to extract and analyze operational data in their location. So, instead of using ETL, the mobile agent will be used. After the mobile agent completing its journey among operational databases, all tasks of ETL will be performed. By this way no need high storage media to extract the data from the operational database. As cost of time, the model proves less consuming of time. The model has been implemented using .Net Framework and C# and the results have been presented and discussed.
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Статья научная
This computing which runs on a web browser. It provides access to a number of web applications through internet without booting the whole OS. The purpose behind Cloud Operating System is that the full system is running on the Web browser and lives on it. Cloud OS is thought of as a new era of an Operating System in which everything inside an Operating System can be accessed from everywhere inside a specific network. The user just need to login onto the web browser and thus can have access to his personalized web-tops where all the applications and data is stored. In this paper it will discuss what is the difference between the Cloud OS and a simple Operating System and how the Cloud OS is developed defining all the requirements and functionalities of a cloud OS. We will also discuss in detail about the load balancing, Geo-replication Data Storage and Virtualization in Cloud OS.
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Development of Data Acquisition Console and Web Server Using Raspberry Pi for Marine Platforms
Статья научная
Marine vessels in today's age are fitted with a number of state of the art systems required for their smooth operation. The compartments which house such systems along with the restricted compartments onboard ships such as the ships galley, dry rations store, cold rooms, battery compartments etc are required to be monitored on real time basis for temperature, pressure, humidity for detecting various hazards like fire, flooding etc. In addition, military platforms also need to monitor compartments such as the armory and magazines to avoid damage to munitions and prevent unauthorized access. The present project aims to develop a proof of concept prototype real time parameter monitoring and motion detection system for critical/restricted compartments on marine platforms with data logging capability. Various sensors forming a sensor suite have been interfaced to the Raspberry Pi board, forming the Data Acquisition Console which is the nodal control center. As most marine vessels are fitted with a shipboard Local Area Network, the project utilizes this existing network for relaying data. The console is placed in the compartment where parameters are to be monitored and the measured data is acquired and transferred via wireless (using Access Points (APs) operating on Wi-Fi/ 802.11 network) or via wired connectivity with the nearest switch and be accessed by concerned personnel at various nodes/ computer on the . The performance of the DAC was successfully ascertained by comparison of sensor performance with other independent sensor readings. The measurement errors were found to be within the permissible accuracy limits of the sensors. Motion detection was achieved by using PIR motion The probability of detection (Pd) for the motion sensor was calculated by conducing iterative motion tests with favorable results. Data is displayed in a web-based dashboard Graphical User Interface. Further, provision has also been made to set visual alarms whenever a particular sensor reading crosses a pre-designated safe limit.
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Статья научная
UN Department of Economics and Social Affairs predicted that the world population will increase by 2 billion in 2050 with over 50% from the Sub-Saharan Africa (SSA). Considering the level of poverty and food insecurity in the region, there is an urgent need for a sustainable increase in agricultural produce. However, farming approach in the region is primarily traditional. Traditional farming is characterized by high labor costs, low production, and under/oversupply of farm inputs. All these factors make farming unappealing to many. The use of digital technologies such as broadband, Internet of Things (IoT), Cloud computing, and Big Data Analytics promise improved returns on agricultural investments and could make farming appealing even to the youth. However, initial cost of smart farming could be high. Therefore, development of a dedicated IoT cloud-based platform is imperative. Then farmers could subscribe and have their farms managed on the platform. It should be noted that majority of farmers in SSA are smallholders who are poor, uneducated, and live in rural areas but produce about 80% of the food. They majorly use 2G phones, which are not internet enabled. These peculiarities must be factored into the design of any functional IoT platform that would serve this group. This paper presents the development of such a platform, which was tested with smart irrigation of maize crops in a testbed. Besides the convenience provided by the smart system, it recorded irrigation water saving of over 36% compared to the control method which demonstrates how irrigation is done traditionally.
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Development of Myanmar-English Bilingual WordNet like Lexicon
Статья научная
A bilingual concept lexicon is of significance for Information Extraction (IE), Machine Translation (MT), Word Sense Disambiguation (WSD) and the like. Myanmar-English Bilingual WordNet like Lexicon (MEBWL) is developed to fulfill the requirements of Language Acquisition (LA). However, it is reasonably difficult to build such a lexicon is quite challenging in time and cost consuming. To overcome this challenging, this paper integrates linguistic resources, including Myanmar-English dictionary, English-Myanmar dictionary and WordNet to construct a Myanmar-English WordNet like lexicon by acquiring the lexical and conceptual knowledge from WordNet and Myanmar English Machine Readable Dictionaries (MRDs). The system includes three phases which include the MRD extraction phase, the link analyzing phase and the WordNet construction phase. The first phase converts the data from multiple resources with different format into a common format and joins and aligns the scattered data for smoothly access and group the data according their part of speech (POS). The link analyzing phase analyzes, classifies and generates candidates of translation links. In the constructing phase, MEBWL is constructed from the verified translation link and WordNet. Beside then, to support the inflected word of Myanmar to English words, morphological processor is designed.
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Development of Neuro-fuzzy System for Early Prediction of Heart Attack
Статья научная
This work is aimed at providing a neuro-fuzzy system for heart attack detection. Theneuro-fuzzy system was designed with eight input field and one output field. The input variables are heart rate, exercise, blood pressure, age, cholesterol, chest pain type, blood sugar and sex. The output detects the risk levels of patients which are classified into 4 different fields: very low, low, high and very high. The data set used was extracted from the database and modeled in order to make it appropriate for the training, then the initial FIS structure was generated, the network was trained with the set of training data after which it was tested and validated with the set of testing data. The output of the system was designed in a way that the patient can use it personally. The patient just need to supply some values which serve as input to the system and based on the values supplied the system will be able to predict the risk level of the patient.
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Статья научная
Superior garbage collection algorithms are needed for deterministic runtime system in complex embedded systems to explore the benefits of contemporary and conquered application programming language. Android embedded operating system is greatly used world wide as a mobile platform without denying this fact it also attracted researchers and engineers to integrate in other embedded real-time systems. It exploits Java language for embedded application development and it can also enhance a certain real time capability with the adoption of real-time support at Dalvik Virtual Machine (DVM). Need for Real-time garbage collection algorithms in embedded systems is identified by achieving new insights into the existing garbage collection algorithms through finding blemishes in it. The space based technique is used in proposed new Real-time GC algorithm for execution runtime system and Real time Garbage Collection (GC) schedulability issue is also addressed. The intuitive performance analysis result demonstrates reduction in the response time and also describes the determinism characteristic of the real time applications using proposed solution.
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Development of System for Automated & Secure Generation of Content (ASCGS)
Статья научная
Automation of manual work and systems is a vast growing trend as it brings in efficiency and quality in work. Online and offline aptitude exams are conducted by organizations and institutions for accessing the skills of students. An aptitude test is an effective method for testing the students however the creation of database for conducting aptitude tests is an uphill task, because the organization has to maintain to a very large database consisting of thousands of questions and the content has to be changed periodically to avoid repeating of questions. An Automated & Secure Content Generation System (ASCGS) is a framework that provides automated creation of aptitude questions by converting a single of type of question into multiple questions by altering its variables. Also the system automates the process of calculating the answer for every question by using its formula. Security in the system is provided by the means of encryption. The present system lags in many perspectives like every question in has to be created manually and also the answer for the question has to be computed manually. Since the entire work is being done manually so there is a high risk that some questions may contain error due to human fault and also the cost and effort required to create the content is large. The proposed system overcomes these shortcomings of the existing system as only one format is required to be created for one type of question thus saving time and human effort. Also it is no longer required to do mathematical calculation manually as it is done by the system, the user has to insert only the formula. The present system requires the organization very long time ranging from few weeks to few months for generating ten thousand questions. With the new system the same work can be done within few days time and with minimal cost. With the development of the system organizations will be relieved from the tedious work of content creation and also management of content will become easier and efficient. The software will enable the institutions to create aptitude questions of different levels thus enabling the institute to conduct aptitude tests for all the students of different classes based on their levels.
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Development of a Mobile-Based Hostel Location and Recommendation Chatbot System
Статья научная
A Chabot is a conversational intelligent agent that has the capability of engaging in human-like interaction with its users. A lot of chatbots have been developed, but to the best of our knowledge, there are few or no chatbots that have been developed for hostel location integrated with a recommendation component to ease the cost, time, and stress of identifying suitable hostels for students, especially at higher institutions of learning. Therefore, this work develops a location-based chatbot system enhanced with recommendation capabilities to allow students to locate hostels that satisfy their needs in an easy and efficient way. The chatbot system was designed as a cross platform compatibility application with different tools and technologies which include Python, HTML and CSS with JavaScript to enhance the interactivity and attractiveness of the system. PHP provides access to MySQL database. The chatbot system provides good experience to its users in terms of loading speed, user friendliness, interface appearance, platform compatibility and recommendation accuracy as it allows them identify suitable hostel speedily and as well provides personalized recommendation of hostels to them.
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Development of a Web Based Environmental Health Tracking System for Nigeria
Статья научная
This paper is to address the problem of environmental health monitoring system facing Nigeria as a whole. Environment and the factors that are associated with it are the root causes of many epidemic diseases both in the developed and developing nations. In Nigeria, environmental health problems arise from population pressure on housing, poor environmental sanitation, coupled with lack of safe drink water and basic housing facilities. Despite the deplorable state of environmental health (lack of clean and safe drinking water, bad housing condition, and so on), there is no reliable and timely means of surveillance or any monitoring system. The result of this research makes it possible for environmental health workers to capture environmental health situation of any house in Nigeria real time while on the field. In conclusion, this paper presents result of a research which developed a web based environmental health tracking system for Nigeria.
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Development of aggression detection technique in social media
Статья научная
Due to the enormous growth of social media the potential of social media mining has increased exponentially. Individual users are producing data at unprecedented rate by sharing and interacting through social media. This user generated data provides opportunities to explore what people think and express on social media. Users exhibit different behaviors on social media towards individuals, a group, a topic or an activity. In this paper, we present a social media mining approach to perform behavior analytics. In this research study, we performed a descriptive analysis of user generated data such as users’ status, comments and replies to identify individual users or groups which can be a potential threat. Tokenization technique is used to estimate the polarity of the behavior of different users by considering their comments or feedbacks against different posts on Facebook. The proposed approach can help to identify possible threats reflected by the user’s behavior towards a specific event. To evaluate the approach, a data set was developed containing comments on the Facebook from different users in different groups. The dataset was divided into different groups such as political, religious and sports. Most negative users’ in different groups were identified successfully. In our research, we focused only on English content; however, it can be evaluated with other languages.
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Development of an Electronic Secure Students' Industrial Works Experience Scheme Placement System
Статья научная
This research developed a secured student industrial work experience scheme (SIWES) placement system to take care of the security challenges of the existing automated systems. There are attempts by researchers to ameliorate the challenges associated with the scheme by developing various systems. However, the developed systems are subjected to security vulnerabilities. This research, in an attempt to avert the security challenges associated with the existing automated systems, designed a new scheme which includes security architectures in the kernel and application layers. This new system was able to achieve two important tasks; first, the system automation and second, the inclusion of security architectures to cubs the application’s vulnerabilities. The present process involves students manually seeking placement to undergo the program, and due to this, students end up applying at organizations that are not relevant to what they are studying. Despite the fact there are no much existing systems that digitally caters for this component of the scheme, the available existing systems are subjected to security vulnerability. Therefore, leveraging on secure web application technologies using Unified Modelling Languages for design, HTML, CSS, JavaScript, PHP for its implementation and user privilege and password hash to ensure its security, this project developed a secure solution to this pertinent challenge. The system is tested using unit testing component of each design, integration testing and general system testing. The implementation shows the system works according to the design, by ensuring all units of the development perform necessary functions of data storage, data retrieval, error alerting, and interface/server appropriate communication. In addition, the security architecture, design and implementation of the system’s design are better than the existing ones.
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Статья научная
Autism Spectrum Disorder (ASD) is a neuro developmental disorder that affects a person's ability to communicate and interact with others for rest of the life. It affects a person's comprehension and social interactions. Furthermore, people with ASD experience a wide range of symptoms, including difficulties while interacting with others, repeated behaviors, and an inability to function successfully in other areas of everyday life. Autism can be diagnosed at any age and is referred to as a "behavioral disorder" since symptoms usually appear in the life's first two years. The majority of individuals are unfamiliar with the illness and so don't know whether or not a person is disordered. Rather than aiding the sufferer, this typically leads to his or her isolation from society. The problem with ASD starts in childhood and extends into adolescence and adulthood. In this paper, we studied 25 research articles on autism spectrum disorder (ASD) prediction using machine learning techniques. The data and findings of those publications using various approaches and algorithms are analyzed. Techniques are primarily assessed using four publicly accessible non-clinically ASD datasets. We found that support vector machine (SVM) and Convolutional Neural Network (CNN) provides most accurate results compare to other techniques. Therefore, we developed an interactive dashboard using Tableau and Python to analyze Autism data.
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Статья научная
The article presents the science, technologies and innovations as foundations of modern economic development. The purpose of establishing complex-structured innovation structure and their functions are analyzed. An effective organizational-economic structural model is proposed for the management of their performance. Production functions, allowing central management institution to use the resources effectively and enterprises within the institution to operate with the whole production strength, are developed. Parameters that cannot be assessed directly as innovation, innovation capacity, science capacity and environmental availability are included in the modeling process. Hierarchic models are developed corresponding to the problems posed to each structure. Among models with various levels, a conceptual algorithm is developed for the purpose of finding a coordinated solution on product/service output based on the efficient utilization of scarce resources. Some suggestions have been given on the basis of modeling the activity of innovative enterprises of different levels with complex structure on its perspective development directions.
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Development of the Model of Dynamic Storage Distribution in Data Processing Centers
Статья научная
The paper reviews dynamic distribution of storage resources among the users in data processing centers. The process of changing memory usage state was revealed to be the process of Markov. The paper proposes the development of stochastic model of the memory and computing usage distribution and the development of probability density functions over practical data. Parameters of probability density functions were defined with the help of stochastic model and practical data. The calculation of the developed model and the parameters of the probability density function is realized dynamically during the ongoing process. At the beginning of each time interval, it is forecasted that the process will be shifted to which state with which maximum probability. The adequacy of the previous forecasts is monitored. Note that, over the time, the quality of the forecast and the level of adequacy increases. The model is used in the virtualization of storage resources usage process and ensures the use of storage resources without wasting. Structure of visualization base is given. The base enables to monitor all stages of the process. Using monitoring base the issues can be resolved to analyze different aspects of the process. Recommendations are given on the use of obtained results.
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Digital IIR Filter Design using Real Coded Genetic Algorithm
Статья научная
The paper develops a technique for the robust and stable design of digital infinite impulse response (IIR) filters. As the error surface of IIR filters is generally multi-modal, global optimization techniques are required to design efficient digital IIR filter in order to avoid local minima. In this paper a real-coded genetic algorithm (RCGA) with arithmetic-average-bound-blend crossover and wavelet mutation is applied to design the digital IIR filter. A multicriterion optimization is employed as the design criterion to obtain the optimal stable IIR filter that satisfies the different performance requirements like minimizing the Lp-norm approximation error and minimizing the ripple magnitude. The proposed real-coded genetic algorithm is effectively applied to solve the multicriterion, multiparameter optimization problems of low-pass, high-pass, band-pass, and band-stop digital filters design. The computational experiments show that the proposed method is superior or atleast comparable to other algorithms and can be efficiently used for higher order filter design.
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Digital Image Enhancement with Fuzzy Interface System
Статья научная
Present day application requires various version kinds of images and pictures as sources of information for interpretation and analysis. Whenever an image is converted from one form to another, such as, digitizing, scanning, transmitting, storing, etc. Some form of degradation occurs at the output. Hence, the output image has to undergo a process called image enhancement which consist of a collection of techniques that seeks to improve the visual appearances of an image. Image enhancement technique is basically improving the perception of information in images for human viewers and providing 'better' input for other automated image processing techniques. This thesis presents a new approach for image enhancement with fuzzy interface system. Fuzzy techniques can manage the vagueness and ambiguity efficiently (an image can be represented as fuzzy set). Fuzzy logic is a powerful tool to represent and process human knowledge in form of fuzzy if-then rules. Compared to other filtering techniques, fuzzy filter gives the better performance and is able to represent knowledge in a comprehensible way.
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Digital firm: requirements, recommendations, and evaluation the success in digitization
Статья научная
One of the most attractive goals for the contemporary companies is to be called a Digital Firm. Achieving this goal means for the company, university, school, factory or hospital that it is one of the most modern and developed in the world. To achieve such an attractive goal, firms have to fulfill some requirements. In this research paper, author introduces many important ideas about the characteristics that the digital firm has to have to deserve to be called digital. Those characteristics are followed by some recommendations about IT-tools that the firm can use to comply with a specific characteristic. Moreover, author introduces some questions that have to be answered to judge correctly about the level of firm’s digitalization that will help evaluating the firm’s success in digitization. This research is unique because it draws attention of the developers of the contemporary Information Systems (IS) to some aspects that are usually not taken into consideration such as the best characteristics of the elements of the workplace that is appropriate for the use of IT tools to help the users make less mistakes and gives the use of original software the importance that it deserves. In addition, it is important for many researchers nowadays who care about studying the contemporary IS and their usage in the contemporary firms to have knowledge about the main elements of IS that take into consideration all aspects of the Hardware, Software, workplace conditions and laws.
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Discovering the maximum clique in social networks using artificial bee colony optimization method
Статья научная
Social networks are regarded as a specific type of social interactions which include activities such as making somebody’s acquaintance, making friends, cooperating, sharing photos, beliefs, and emotions among individuals or groups of people. Cliques are a certain type of groups that include complete communications among all of its members. The issue of identifying the largest clique in the network is regarded as one of the notable challenges in this domain of study. Up to now, several studies have been conducted in this area and some methods have been proposed for solving the problem. Nevertheless, due to the NP-hard nature of the problem, the solutions proposed by the majority of different methods regarding large networks are not sufficiently desirable. In this paper, using a meta-heuristic method based on Artificial Bee Colony (ABC) optimization, a novel method for finding the largest clique in a given social network is proposed and simulated in Matlab on two dataset groups. The former group consists of 17 standard samples adopted from the literature whit know global optimal solutions, and the latter group includes 6 larger instances adopted from the Facebook social network. The simulation results of the first group indicated that the proposed algorithm managed to find optimal solutions in 16 out of 17 standard test cases. Furthermore, comparison of the results of the proposed method with Ant Colony Optimization (ACO) and the hybrid PS-ACO method on the second group revealed that the proposed algorithm was able to outperform these methods as the network size increases. The evaluation of five DIMACS benchmark instances reveals the high performance in obtaining best-known solutions.
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Discrete Simulation of the Remote Access to the Resources of a Virtual Research Laboratory
Статья научная
This article discusses the problem of an evaluation of the remote access to the resources of a Virtual Research Lab (VRL) and information servicing investigation by using queuing model and program simulation. The results presented here are the final part of general investigation of proposed architecture of the VRL developed in the frame of two years scientific project. Some results from the initial phases of the investigation (functional, deterministic and stochastic modeling) are discussed in other publications of the author. The purpose of this article is to present a simulation organization and performance factors evaluation of the remote access and information servicing in the VRL. In this connection formalization and an abstract model are made. An extension of this formalization based on the queuing theory is made and a general queuing model for the simulation organization is developed. The program realization of the simulation experiments is made by using the system WebGPSS. Object of investigation is the user access to the resources and some variants are evaluated, for example ‘single-user access to a single resource’ and ‘multiple-user access to multiple resources’. Some experimental results are discussed. Different assessments for the components that take part in the remote access are calculated and presented (utilization, workload, waiting time, etc.)
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