• Journal of the Korean Society for Precision Engineering
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• v.17 no.6
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• pp.83-88
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• 2000

In machining large screws such as those of extruders, it takes long time to machine them on conventional machines which usually use single-tipped fixed tools. And it is also difficult to use an existing CAD/CAM coftware when trying to get over the problems of conventional machines and making use of CNC machines. In this paper, generation of machining program using rotational tools for large screws defined by longitudinal-section profile is descrebed. Use of rotational tools in machining plays an important role in saving machining time. In the sort of extruder screws, it is easy to define a screw shape by longitudinal-section profile, and by which improvement of dimensional accuracy can be expected. The CAM software developed in this paper is based on user's and designer's friendliness.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.306-311
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• 1992

We propose software algorithms which provide the characteristics of acceleration/deceleration essential to high dynamic performance at the transient state where industrial robots or CNC machine tools start and stop. The path error, which is one of the most significant factors in performance evaluation of industrial robots and CNC machine tools, is analyzed for linear, exponential, and parabolic acceleration/deceleration algorithms in case of circular interpolation. The analysis shows that the path error depends on the acceleration/deceleration routine and the servo control system. In experiments, the entire control algorithm including the proposed acceleration/deceleration algorithms is executed on the motion control system with a floating point digital signal processor(DSP) TMS320C30 as a CPU. The experimental results demonstrate that the proposed algorithms are very effective in controlling axes of motion of industrial robots or CNC machine tools with the desired characteristics.

• Computers and Concrete
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• v.1 no.1
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• pp.1-14
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• 2004

Computer-based analysis tools for forensic assessment of reinforced concrete structures are presented. The analysis tools, mostly in the form of nonlinear finite element procedures, are based on the concepts and formulations of the Modified Compression Field Theory. Relevant details regarding their formulation are provided. Development of realistic constitutive models and corroboration of the analysis procedures, through comprehensive experimental programs, are discussed. Also presented are graphics-based pre- and post-processors, which are of significant aid in structural modeling, input of data, and interpretation of analysis results. The details and results of a case study, illustrating the application and value of such analytical tools, are also discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.635-637
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• 2016

The purpose of this study was to apply other programming tools such as robots parish. The robot was utilized for Lego Mindstorms NXT. Programming tools were used to block generic programming tools were used in the NXT-G, was used as a simulation programming tools MSRDS, mobile App Inventor is a programming tool (App Inventor). It can lead to interesting effects of learning and learning based on three programming tool above.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.9
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• pp.2692-2716
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• 2024

Over the past decade, law enforcement organizations have been dealing with the development of cybercrime. To address this growing problem, law enforcement organizations apply various digital forensic (DF) tools and techniques to investigate crimes involving digital devices. This ensures that evidence is admissible in legal proceedings. Consequently, DF analysts may need to invest more in proprietary DF hardware and software to maintain the viability of the DF lab, which will burden budget-constrained organizations. As an alternative, the open source DF tool is considered a cost-saving option. However, the admissibility of digital evidence obtained from these tools has yet to be tested in courts, especially in Malaysia. Therefore, this study aimed to explore the admissibility of digital evidence obtained through open source DF tools. By reviewing the existing literature, the factors that affect the admissibility of the evidence produced by these tools in courts were identified. Further, based on the findings, a conceptual framework was developed to ensure the admissibility of the evidence so that it will be accepted in the court of law. This conceptual framework was formed to outline the factors affecting the admissibility of digital evidence from open source DF tools, which include; 1) The Availability and Capability of open source DF tools, 2) the Reliability and Integrity of the digital evidence obtained from open source DF tools, 3) the Transparency of the open source DF tools, and 4) the Lack of Reference and Standard of open source DF tools. This study provides valuable insights into the digital forensic field, and the conceptual framework can be used to integrate open source DF tools into digital forensic investigations.

• ETRI Journal
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• v.25 no.2
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• pp.121-132
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• 2003

To enhance the productivity of software development and accelerate time to market, software developers have recently paid more attention to a component-based development (CBD) approach due to the benefits of component reuse. Among CBD processes, the identification of reusable components is a key but difficult process. Currently, component identification depends mainly on the intuition and experience of domain experts. In addition, there are few systematic methods or tools for component identification that enable domain experts to identify reusable components. This paper presents a systematic method and its tool called a component identifier that identifies software components by using object-oriented domain information, namely, use case models, domain object models, and sequence diagrams. To illustrate our method, we use the component identifier to identify candidates of reusable components from the object-oriented domain models of a banking system. The component identifier enables domain experts to easily identify reusable components by assisting and automating identification processes in an earlier development phase.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.12
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• pp.1264-1270
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• 2004

In this paper, a standard robot design methodology is suggested and a software architecture for modular robot is introduced. The robot is modularized by several functions, and the module is produced according to a standard proposal. Each module requires standard interface for communicate in distributed environments. Software architecture was developed to support distributed component environment, and application development support tools are developed for user convenience. Many robot softwares are developed in a library form so that, they are being used widely robot application software development. Also a device driver was developed for the mostly used sensor and actuator. It is verified that the modular robot can be applied in various fields through guide, errand and guard scenario.

• Proceedings of the KIEE Conference
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• 1990.11a
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• pp.252-255
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• 1990

Analyzing and simulating of today's complex electrical networks require the use of computer-aided engineering tools. In recent years, the rapid advances in micro-computer hardware technology have increased the availability of power application software on the personal computer, once the domain of mainframes and minicomputers, enabling efficient and cost-effective power system analysis. An interactive simulation and analysis software for a power system is developed and presented in this paper. The software is written in PASCAL and is designed for PC use. This paper presents an integrated software package to run PC-DOS for the analysis of electric power networks. The software is menu driven and controlled by prompts. These programs are intended to help users understand the process of power system analysis and design.

• Asia pacific journal of information systems
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• v.6 no.1
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• pp.241-267
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• 1996

The problems like exceeding estimated cost, late due-date, expensive maintenance, insuffiency of experts and low productivity are becoming emphasized related with the software development. In order to overcome these problems and to develop the highly qualified software within the limited resources, a project management tool is used. The purpose of this study is to develop a conceptual model of the project management system which can plan, analyze and control the software development projects effectively. The model is constructed with plan and track management system, cost management system and operation management system for the efficient project management. It is named by LSD-PMS : Large-scale Software Development Project Management System. We reviewed 5 cases of project management. LSD-PMS is evaluated and reviewed by the project managers in the field. It is proved that LSD-PMS is a tool which can help project managers develop software successfully given budget and time schedule. In the future, this system should be further developed as an integrated model with system implementation tools such as CASE products.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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• pp.1-10
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• 2012

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The finite failure nonhomogeneous Poisson process models presented and the life distribution applied exponential and log shaped type hazard function. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than autonomous errors-detected factor that is generally efficient model could be confirmed. This paper, a failure data analysis of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and coefficient of determination.