- Все статьи 584
Статьи журнала - International Journal of Information Engineering and Electronic Business
Все статьи: 584
Data-Centric Enterprise Architecture
Статья научная
Enterprises choose Enterprise Architecture (EA) solution, in order to overcome dynamic business challenges and in coordinate various enterprise elements. In this article, a solution is suggested for the Enterprise Architecture development. The solution focuses on architecture data in the Enterprise Architecture development process. Data-centric architecture approach is preferred product-centric architecture approach. We suggest using Enterprise Ontology (EO) as context for collecting architecture data; Enterprise Ontology enhances quality of architecture data and lead to effective architecture results for decision-making. First, Enterprise is modeled using the ontology. Then how collecting Enterprise Architecture data based on the Enterprise Ontology is explained. Finally, the results and advantages of the solution are demonstrated.
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Database Design for Data Mining Driven Forecasting Software Tool for Quality Function Deployment
Статья научная
Efficient Database design is the key part of software development. A properly built database acts as the backbone of the software system and makes enhancing software more easily and quickly. Quality Function Deployment and data mining itself are very gordian processes. Thus, there is strong need of database for handling complex transactions of Quality Function Deployment along with data mining and accessing precise and up-to-date information concerned to this. Forecasting in Quality Function Deployment can be time consuming when computed manually. Hence, development of data mining driven forecasting software tool can give better results and also save time. This paper focuses on the database design for the development of data mining driven forecasting software tool for Quality Function Deployment. Here, first brief discussion on Quality Function Deployment and data mining followed by its concise literature review is presented. Later on, the integrated value chain needed by data mining driven forecasting system for Quality Function deployment is discussed. Then the flow chart illustrating the processes of the software tool is intended. Afterwards the tabulated schemas of logical part of database have been presented. Finally, the ER-diagram for the software and described the relationships among the tables have been designed followed by conclusion. Recognizing the general architecture and structural component of database system will lend a hand to designers and engineers successfully build up and sustain forecasting software tool.
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Deceptive Opinion Detection Using Machine Learning Techniques
Статья научная
Nowadays, online reviews have become a valuable resource for customer decision making before purchasing a product. Research shows that most of the people look at online reviews before purchasing any product. So, customers reviews are now become a crucial part of doing business online. Since review can either promote or demote a product or a service, so buying and selling fake reviews turns into a profitable business for some people now a days. In the past few years, deceptive review detection has attracted significant attention from both the industrial organizations and academic communities. However, the issue remains to be a challenging problem due to the lack of labeled dataset for supervised learning and evaluation. Also, study shows that both the state of the art computational approaches and human readers acquire an error rate of about 35% to 48% in identifying fake reviews. This study thoroughly investigated and analyzed customers’ online reviews for deception detection using different supervised machine learning methods and proposes a machine learning model using stochastic gradient descent algorithm for the detection of spam review. To reduce bias and variance, bagging and boosting approach was integrated into the model. Furthermore, to select the most appropriate features in the feature selection step, some rules using regular expression were also generated. Experiments on hotel review dataset demonstrate the effectiveness of the proposed approach.
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Decision support system to determine promotional methods and targets with k-means clustering
Статья научная
Promotion becomes one of the important aspects of institutions of college. The number of competitors demanding the marketing must be fast and accurate in formulating strategies and decision making. Data warehouse and data mining become one of the means to build a decision support system that can provide knowledge and wisdom quickly to be taken into consideration in promotion strategy planning. Development of this system then does the process of testing with the number of data 6171 rows of student enrollment taken directly from a transactional database. The data is done ETL process and clustering with the k-means clustering algorithm, then the data in each cluster is done grouping and summarization to get weighting. After that just done ranking to produce wisdom, one of them determine the list of schools that will be the target roadshow. The analysis also produces several patterns of student enrollment, namely the registrant pattern from the wave of registration and favorite or non-favorite school categories. In addition, the results of system design in this study can be developed easily if requires added external data. Such as data of SMK/SMK school graduates in the area or data of students enrolling in other universities. This is one of the superiority of semantic-based data warehouses.
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Delay Analysis of Network Coded Video Streams in VANETs
Статья научная
Video is a significant medium in data communication through which enormous information could be conveyed in less time. Video Streaming helps us play the streamed data immediately without waiting for the entire file to get downloaded. When the quality of service of video streaming is considered, delay and jitter act as very important parameters, as video streams received late cannot be played and become useless hence wasting the network resources. In Vehicular Adhoc Networks, a special type of Mobile Adhoc Networks, the two possible usages of video streams are in infotainment applications and in the safety applications. In either case, these parameters play a major role. One of the vital techniques that are applied to reduce the delay encountered is Network coding. This paper simulates the transfer of the video streams from one vehicle to another in a group of vehicles in Vehicular Adhoc Networks. Network coding is applied on the video packets here. The routes are established with routing protocols OLSR, AODV and DSDV in the above mentioned scenarios. Node density is varied and these parameters of interest are monitored and analyzed.
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Descriptive Modeling Uses K-Means Clustering for Employee Presence Mapping
Статья научная
Human resource is valuable asset for an agency. The success of an institution is not only determined by the quality of its human resources, but also by the level of discipline. The discipline of an employee in an institution can be seen and measured by the level of attendance in doing a job, because the level of attendance is one of the factors that determine productivity. The current problem is the management level of the company that has difficulty in monitoring and controlling the employee attendance data. There needs to be a mapping and grouping to find out patterns of absence. Mapping or patterns that are obtained help management levels to monitor employees, take approaches and take action so as to improve employee discipline. In this study, it was used descriptive modeling with the implementation of the k-means clustering method. The results of the mapping obtained help the management level in controlling and monitoring as a reference for the next policy maker.
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Design & Optimization of Reversible Logic Based ALU Using ACO
Статья научная
Portable consumer electronics is most demanding in every segment of electronic industry and to satisfy the needs of low power electronics, comprehensive approaches and techniques have been proposed by various researchers. Reversible logic is one among emerging and competent technologies with profound applications in fields of computer graphics, optical information processing, quantum computing, DNA computing, ultra low power CMOS design and communication. ALU is a fundamental component of all processing units. Portability in computing system highly demands for reversible logic based ALU. Many researchers have proposed exact synthesis approaches of ALU design based on reversible logic but few have come up with reduced quantum cost without long computation overhead. Here in this paper heuristic approach has been used which not only provides solution for large number of variables but also avoids sufferings caused by long computation overhead. The main goal of this paper is to propose reversible logic based ALU and further it is optimized by Ant Colony Optimization (ACO) algorithm combined with Depth First Search (DFS) in terms of reduced quantum cost.
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Статья научная
Computed torque controller (CTC) is a significant nonlinear controller under condition of partly uncertain dynamic parameters of system. This controller is used to control of highly nonlinear systems especially for robot manipulators, because this controller is a robust and stable. Conversely, computed torque controller is used in many applications; it has an important drawback namely; nonlinear equivalent dynamic formulation in uncertain dynamic parameter. The nonlinear equivalent dynamic formulation problem in uncertain system can be solved by using artificial intelligence theorem. However fuzzy logic controller is used to control complicated nonlinear dynamic systems, but it cannot guarantee stability and robustness. In this research parallel fuzzy logic theory is used to compensate the system dynamic uncertainty in computed torque controller.
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Design High Efficiency Intelligent Robust Backstepping Controller
Статья научная
The increasing demand for multi-degree-of-freedom (DOF) continuum robot in presence of highly nonlinear dynamic parameters in a number of industries has motivated a flurry of research in the development of soft computing nonlinear methodology. This research contributes to the on-going research effort by exploring alternate methods for controlling the continuum robot manipulator. This research addresses two basic issues related to the control of a continuum robots; (1) a more accurate representation of the dynamic model of an existing prototype, and (2) the design of a robust feedback controller. The robust back stepping controller proposed in this research is used to further demonstrate the appealing features exhibited by the continuum robot. Robust feedback controller is used to position control of continuum robot in presence of uncertainties. Using Lyapunov type stability arguments, a robust back stepping controller is designed to achieve this objective. The controller developed in this research is designed into two steps. Firstly, a robust stabilizing torque is designed for the nominal continuum robot dynamics derived using the constrained Lagrangian formulation. Next, the fuzzy logic methodology applied to it to solution uncertainty problem. The fuzzy model free problem is formulated to minimize the nonlinear formulation of continuum robot. The eventual stability of the controller depends on the torque generating capabilities of the continuum robots.
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Design High-Efficiency Intelligent PID like Fuzzy Backstepping Controller for Three Dimension Motor
Статья научная
The minimum rule base Proportional Integral Derivative (PID) Fuzzy backstepping Controller for three dimensions spherical motor is presented in this research. The popularity of PID Fuzzy backstepping controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy backstepping controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 7 × 7 × 7 = 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PI-like controller and a PD-like fuzzy controller to have the minimum rule base. However backstepping controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters of each dimension, this controller is work based on spherical motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear three dimension spherical motor’s dynamic equation. This research is used to reduce or eliminate the backstepping controller problem based on minimum rule base fuzzy logic theory to control of spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
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Design Intelligent Model-free Hybrid Guidance Controller for Three Dimension Motor
Статья научная
The minimum rule base Proportional Integral Derivative (PID) Fuzzy hybrid guidance Controller for three dimensions spherical motor is presented in this research. A three dimensions spherical motor is well equipped with conventional control techniques and, in particular, various PID controllers which demonstrate a good performance and successfully solve different guidance problems. Guidance control in a three dimensions spherical motor is performed by the PID controllers producing the control signals which are applied to systems torque. The necessary reference inputs for a PID controller are usually supplied by the system's sensors based on different data. The popularity of PID Fuzzy hybrid guidance Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a conventional PI controller to have the minimum rule base. Linear type PID controller is used to modify PID fuzzy logic theory to design hybrid guidance methodology. This research is used to reduce or eliminate the fuzzy and conventional PID controller problem based on minimum rule base fuzzy logic theory and modified it by PID method to control of spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
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Design Intelligent PID like Fuzzy Sliding Mode Controller for Spherical Motor
Статья научная
The minimum rule base Proportional Integral Derivative (PID) Fuzzy Sliding Mode Controller (SMC) with application to spherical motor is presented in this research. The popularity of PID Fuzzy Sliding Mode Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy Sliding Mode Controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing especially in nonlinear and uncertain systems. Proportional Integral Derivative methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions, we will need 343 rules. It is too much work to write 343 rules and have lots of problem to design embedded control system e.g., Field Programmable Gate Array (FPGA). In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a conventional PI controller to have the minimum rule base and good trajectory follow disturbance to control of spherical motor. However Sliding Mode Controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters for each direction of three degree of freedom spherical motor, this controller is work based on motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear spherical motor’s dynamic equation which caused to challenge in uncertain system. This research is used to reduce or eliminate the Sliding Mode Controller problem based on minimum rule base fuzzy logic theory to control of three degrees of freedom spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
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Design Migration from Procedural to Object Oriented Paradigm by Clustering Data Call Graph
Статья научная
Management of legacy software and its code, generally written in procedural languages, is often costly and time-consuming. To help this management, a migration from procedural to object oriented paradigm could be a cost effective option. One approach for such migration can be based on the underlying dependency structure of the procedural source code. In this work, we propose a new heuristic algorithm that utilizes such structure for the design migration using agglomerative hierarchical clustering. The dependency structure that has been used involve functions, parameters and global data of the procedural code. Given a procedural code, the proposed approach produces candidate classes for an object oriented design. The proposed algorithm was tested against a database of procedural codes. The results obtained have been empirically validated using Jaccard similarity coefficient. It is observed that the proposed method yields 75.6% similarity with respect to the ground truth in the average case.
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Design New Robust Self Tuning Fuzzy Backstopping Methodology
Статья научная
This research is focused on proposed Proportional-Integral (PI) like fuzzy adaptive backstopping fuzzy algorithms based on Proportional-Derivative (PD) fuzzy rule base with the adaptation laws derived in the Lyapunov sense. Adaptive SISO PI like fuzzy adaptive backstopping fuzzy method has two main objectives; the first objective is design a SISO fuzzy system to compensate for the model uncertainties of the system, and the second objective is focused on the design PI like fuzzy controller based on PD method as an adaptive methodology. Classical backstopping control is robust to control model uncertainties and external disturbances and is a main controller in this research. The fuzzy controller is used in this method to system compensation. To increase the robust of this controller adaptive PI like fuzzy controller is introduced and applied to backstopping fuzzy controller. Classical backstopping control method has difficulty in handling unstructured model uncertainties. One can overcome this problem by combining a backstopping controller and artificial intelligence (e.g. fuzzy logic). To approximate a time-varying nonlinear dynamic system, a fuzzy system requires a large amount of fuzzy rule base. This large number of fuzzy rules will cause a high computation load. The addition of an adaptive law to a backstopping fuzzy controller to online tune the coefficients in use will ensure a moderate computational load. The adaptive laws in this algorithm are designed based on the Lyapunov stability theorem. This method is applied to continuum robot manipulator to have the best performance.
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Статья научная
In this research, model reference fuzzy based control is presented as robust controls for IC engine. The objective of the study is to design controls for IC engines without the knowledge of the boundary of uncertainties and dynamic information by using fuzzy model reference PD plus mass of air while improve the robustness of the PD plus mass of air control. A PD plus mass of air provides for eliminate the mass of air and ultimate accuracy in the presence of the bounded disturbance/uncertainties, although this methods also causes some oscillation. The fuzzy PD plus mass of air is proposed as a solution to the problems crated by unstability. This method has a good performance in presence of uncertainty.
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Design Of High Performance Reconfigurable Routers Using Fpga
Статья научная
Network-on-chip(NoC) architectures are emerging for the highly scalable, reliable, and modular on-chip communication infrastructure platform. The NoC architecture uses layered protocols and packet-switched networks which consist of on-chip routers, links, and network interfaces on a predefined topology. In this Project, we design network-on-chip which is based on the Cartesian network environment. This project proposes the new Cartesian topology which is used to reduce network routing time, and it is a suitable alternate to network design and implementation. The Cartesian Network-On-Chip can be modeled using Verilog HDL and simulated using Modelsim software.
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Design an accurate algorithm for alias detection
Статья научная
An improvement in detection of alias names of an entity is an important factor in many cases like terrorist and criminal network. Accurately detecting these aliases plays a vital role in various applications. In particular, it is critical to detect the aliases that are intentionally hidden from the real identities, such as those of terrorists and frauds. Alias Detection (AD) as the name suggests, a process undertaken in order to quantify and identify different variants of single name showing up in multiple domains. This process is mainly performed by the inversion of one-to-many and many-to-one mapping. Aliases mainly occur when entities try to hide their actual names or real identities from other entities i.e.; when an object has multiple names and more than one name is used to address a single object. N-gram distance algorithm (N-DIST) have find wide applicability in the process of AD when the same is based upon orthographic and typographic variations. Kondrak approach, a popular N-DIST works well and fulfill the cause, but at the same time we uncover that (N-DIST) suffers from serious inabilities when applied to detect aliases occurring due to the transliteration of Arabic name into English. This is the area were we have tried to hammer in this paper. Effort in the paper has been streamlined in extending the N-gram distance metric measure of the approximate string matching (ASM) algorithm to make the same evolve in order to detect aliases which have their basing on typographic error. Data for our research is of the string form (names & activities from open source web pages). A comparison has been made to show the effectiveness of our adjustment to (N-DIST) by applying both forms of (N-DIST) on the above data set. As expected we come across that adjusted (A-N-DIST) works well in terms of both performance & functional efficiency when it comes to matching names based on transliteration of Arabic into English language from one domain to another.
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Design and Development Employee Payroll Information Systems in Indeks Media Teknologi Inc.
Статья научная
The research was conducted to be able to develop an employment information system at Indeks Media Teknologi Inc. which later if this system is successful can help the company tasks when making employee payroll for each period. Research is carried out at Indeks Media Teknologi Inc.. The method of collecting data by interview asking questions related to the employee salary management system. By means of observation, namely making observations directly to the Indeks Media Teknologi Inc.. In this study, the system development method used is waterfall with the supporting software used are PHP and MySQL. The network topology used is a star topology. The results of this study are in the form of client-server based employee salary data management which can improve service and facilitate the provision of salaries for employees of Indeks Media Teknologi Inc.
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Design and Simulation of Axial Flow Maglev Blood Pump
Статья научная
The axial flow maglev blood pump (AFMBP) has become a global research focus and emphasis for artificial ventricular assist device, which has no mechanical contact, mechanical friction, compact structure and light weight, can effectively solve thrombus and hemolysis. Magnetic suspension and impeller is two of the important parts in the axial flow maglev blood pump, and their structure largely determines the blood pump performance. The research adopts electromagnetic and fluid finite element analysis, and puts forward a method to design the magnetic suspension and impeller of axial flow blood pump, which tacks into account the small volume of axial blood pump. The magnetic bearing’s characteristics are evaluated by electromagnetic finite element analysis. The Blades have been designed by calculating aerofoil bone line, and make simulation analysis for different thicken ways of blade by Fluent software, and make a conclusion that the blade thickened with certain rules has better characteristics in the same conditions. The results will provide some guidance for design of axial flow maglev blood pump, and establish theoretical basis for application of the implantable artificial heart pump.
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Design concept integration tax payment system with implementing financial technology
Статья научная
Taxation has an important role as state revenue in the State Budget. In 2017, the target of tax revenues in the State Budget is about Rp. 1,498.9 trillion so that the Ministry of Finance of the Republic of Indonesia contrives as well as possible through the fiscal policy reform to fulfill the targets. One of the efforts which undertaken by the Directorate General of Taxes is applied tax payment system using e-billing with the electronic deposit slip. E-billing (electronic billing) is an online service which uses the system through the issued code on a kind of tax payment. The tax payment system is based on self-assessment to make deposits or tax payments independently by the taxpayer. Developments in technology influenced the emergence of innovations particularly financial technology in the finance industry. An industry which worked in the finance sector utilizing financial technology in the payment system. This kind of condition can provide opportunities for financial transaction service electronically. In this research proposed a tax payment system design which can be integrated with financial technology industry through Service Oriented Architecture (SOA) approach. The design which included in this paper is technology architecture, data modeling, use case diagram of service and system integration design. A conceptual design is realized as an effort to utilize financial technology to provide alternative tax payment transactions in achieving the target of state revenue.
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