• International Journal of Precision Engineering and Manufacturing
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• v.1 no.1
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• pp.84-90
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• 2000

The importance of Virtual Manufacturing System is increasing in the area of developing new manufacturing processes, implementing automated workcells, designing plant facility layouts and workplace ergonomics. Virtual manufacturing system is a computer system that can generate the same information about manufacturing system structure, states, and behaviors as is observed in a real manufacturing. In this research, a virtual manufacturing system for flexible manufacturing cells (VFMC), (which is a useful tool for building Computer Integrated Manufacturing (CIM), has been developed using object-oriented paradigm, and implemented with software QUEST/IGRIP. Three object models used in the system are the product model, the facility model, and the process model. The concrete behaviors of a flexible manufacturing cell are re[presented by the task-oriented description diagram, TIC. An example simulation is executed to evaluate applicability of the developed models, and to prove the potential value of virtual manufacturing paradigm.

• Interaction and multiscale mechanics
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• v.4 no.1
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• pp.49-64
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• 2011

A methodology for jointed rock mass characterization starts with a research based on geological data and tests in order to define the geotechnical models used to support the decision about location, orientation and shape of cavities. Afterwards a more detailed characterization of the rock mass is performed allowing the update of the geomechanical parameters defined in the previous stage. The observed results can be also used to re-evaluate the geotechnical model using inverse methodologies. Cases of large underground structures modeling are presented. The first case concerns the modeling of cavities in volcanic formations. Then, an application to a large station from the Metro do Porto project developed in heterogeneous granite formations is also presented. Finally, the last case concerns the modeling of large cavities for a hydroelectric powerhouse complex. The finite element method and finite difference method software used is acquired from Rocscience and ITASCA, respectively.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.89-97
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• 2015

In this paper, we propose a handoff method supporting LBS (Location Based Services) Information in mobile clouding environment. In mobile clouding computing, handoff delay and re-authentication is occurred. A mobile node needs re-authentication procedure from cloud server whenever it arrives new AP. But Using of location information of node enables to reduce delay time due to re-authentication. To reduce re-authentication delay time, proposed method stores location information of APs on WiFi based location server to complement. GPS-based technology which can't receive satellite signal in indoor and then node collects location information of AP at handoff time. And also enables to process LBS without increasing handoff delay by splitting the process of handoff from process of requesting location information. For analysis of proposed method, We analyze handoff delay and location information process time and have compared previous handoff method in cloud environment. We confirmed that proposed method shows lower delay time without increasing LBS process time than previous method because node receives location information from location information server when handoff is occurred.

• Journal of Positioning, Navigation, and Timing
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• v.5 no.1
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• pp.11-20
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• 2016

In this paper, a system that can collect GPS L1 C/A, GLONASS G1, and BDS B1I signals with single front-end receiver was implemented using a universal software radio peripheral (USRP) and its performance was verified. To acquire the global navigation satellite system signals, hardware was configured using USRP, antenna, external low-noise amplifier, and external oscillator. In addition, a value of optimum local oscillator frequency was selected to sample signals from three systems with L1-band with a low sampling rate as much as possible. The comparison result of C/N0 between the signal collection system using the proposed method and commercial receiver using double front-end showed that the proposed system had 0.7 ~ 0.8dB higher than that of commercial receiver for GPS L1 C/A signals and 1 ~ 2 dB lower than that of commercial receiver for GLONASS G1 and BDS B1I. Through the above results, it was verified that signals collected using the three systems with a single USRP had no significant error with that of commercial receiver. In the future, it is expected that the proposed system will be combined with software-defined radio (SDR) and advanced to a receiver that has a re-configuration channel.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.233-241
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• 2012

The object of the project management is to succeed in the project. However, could you definitely judge that the result of project performance is a success? In addition, do both customer and developer agree with the result of your judgement? There are a lot of definitions and measure for the success and failure of the software development suggested, but there is no definite standard for the classification. This paper examines the measures in order to decide the development success and re-defines the success and the failure of the project. We suggest the measure and the standard that judge the project achievement based on these definitions. Applying the suggested measure and standard, it is possible to reduce arguments between the customer and the developer on the classification of the success and the failure.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.191-204
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• 2021

The software development life cycle (SDLC) is a procedure used to develop a software system that meets both the customer's needs and real-world requirements. The first phase of the SDLC involves creating a conceptual model that represents the involved domain in reality. In requirements engineering, building such a model is considered a bridge to the design and construction phases. However, this type of model can also serve as a basic model for identifying business processes and how these processes are interconnected to achieve the final result. This paper focuses on process modeling in organizations, per se, beyond its application in the SDLC when an organization needs further documentation to meet its growth needs and address regular changes over time. The resultant process documentation is created alongside the daily operations of the business process. The model provides visualization and documentation of processes to assist in defining work patterns, avoiding redundancy, or even designing new processes. In this paper, a proposed diagrammatic representation models each process using one diagram comprising five actions and two types of relations to build three levels of depiction. These levels consist of a static description, events, and the behavior of the modeled process. The viability of a thinging machine is demonstrated by re-modeling some examples from the literature.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1762-1769
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• 2021

The final goal of this study is to develop a system that can analyze whether a wanted vehicle is a criminal vehicle from images collected from black boxes, smartphones, CCTVs, and so on. Data collection was collected using a self-developed black box. The used data in this study has used a total of 83,753 cases such as the eight vehicle types(truck, RV, passenger car, van, SUV, bus, sports car, electric vehicle) and 434 vehicle models. As a result of vehicle recognition using YOLO v5, mAP was found to be 80%. As a result of identifying the vehicle model with ReXNet using the self-developed black box, the accuracy was found to be 99%. The result was verified by surveying field police officers. These results suggest that improving the accuracy of data labeling helps to improve vehicle recognition performance.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2004.11a
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• pp.13-20
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• 2004

Grid system has the potential to resolve the current need of bioinformatics for super-computing environment inexpensively. There are already several Grid applications of bioinformatics tools. To solve the real-world bioinformatics problems, however, the various integration of each tool is necessary in addition to the implementation of more basic tools. Workflow based problem solving environment can be the efficient solution for this type of software development. There are still heavy overhead, however, to develop and implement workflow model on current Grid system. He re we propose a model of simple problem solving environment that enables component based workflow design of integrated bioinformatics applications on Grid environment by using Condor functionalities. We realized this model for practical bioinformatics solutions of a genome sequence analysis and a comparative genome analysis. We implemented necessary bioinformatics tools and interfacing tools as the components, and combine them in the workflow model of each solution by using the tools presented in Condor.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.387-388
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• 2019

As malicious apps vary significantly across Android malware, it is challenging to prevent that the end-users download apps from unsecured app markets. In this paper, we propose an approach to classify the malicious methods based on permissions using Long Short Term Memory (LSTM) that is used to embed the semantics among Intent and permissions. Then the malicious method that is an unsecured method will be removed and re-uploaded to official market. This approach may induce that the end-users download apps from official market in order to reduce the risk of attacks.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.229-234
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• 2019

The software market has diversified service needs due to the expansion of the mobile market. To this end, the company intends to produce various apps by extending to the design domain based on the structured architectural assets of the domain market. In this study, we propose an evaluation model that can evaluate the efficiency for servicing assets that reflect the domain characteristics of architecture based on cloud. Based on the characteristics of ISO/IEC 25010 quality model of SQuaRE Series, a software evaluation standard, evaluation model sub-features for evaluating the efficiency of cloud-based asset data were constructed. When the architectural assets were designed as composite assets, they were designed to provide the flexibility of the evaluation model by applying the mandatory and optional evaluation elements of the sub-features that weighted the evaluation items according to the characteristics of the design domain.