• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.281-293
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• 2023

This study addresses the optimal design methodology for switching between active electronically scanned array (AESA) radar operating modes to easily select the necessary information to reduce pilots' cognitive load and physical workload in situations where diverse and complex information is continuously provided. This study presents a procedure for defining a hidden Markov chain model (HMM) for modeling operating mode changes based on time series data on the operating modes of the AESA radar used by pilots while performing mission scenarios with inherent uncertainty. Furthermore, based on a transition probability matrix (TPM) of the HMM, this study presents a mathematical programming model for proposing the optimal structural design of AESA radar operating modes considering the manipulation method of a hands on throttle-and-stick (HOTAS). Fighter pilots select and activate the menu key for an AESA radar operation mode by manipulating the HOTAS's rotary and toggle controllers. Therefore, this study presents an optimization problem to propose the optimal structural design of the menu keys so that the pilot can easily change the menu keys to suit the operational environment.

• The Journal of Korean Association of Computer Education
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• v.8 no.1
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• pp.73-80
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• 2005

To achieve a natural and plausible interaction with deformable objects and to setup the desirable initial conditions of simulation, user should be able to define and control the geometric constraints intuitively. In addition, user should be able to utilize the simulation as a problem solving platform by experimenting various simulation situations without major modification of the simulator. The proposed physically based geometric constraint simulation system solves the problem using a non-linear finite element method approach to represent deformable objects and constraint forces are generated by defining geometric constraints on the nodes of the object to maintain the restriction. It allows user to define and modify geometric constraints and an algorithm converts these geometric constraints into constraint forces which seamlessly integrate controllability to the simulation system. Simulator can handle linear, angular, inequality based geometric constraints on the objects. Our experimental results show that constraints are maintained in the tight error bound and preserve desired shape of deformable object during the entire simulation.

• The KIPS Transactions:PartC
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• v.15C no.6
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• pp.539-546
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• 2008

In this paper, we propose an address autoconfiguration mechanism and a route establishment mechanism appropriate for the modified MANET architecture which overcomes the multi-link subnet problem. For the delivery of Router Advertisement (RA) messages without causing the duplicate packet reception problem in the multi-hop wireless network environment, the Scope-Extended RA (Scope-Extended Router Advertisement) message is defined. Also, by defining the MANET Prefix option, a MANET node is allowed to send packets destined to a host not in the MANET directly to the gateway. This can prevent the performance degradation caused by broadcasting control messages of the reactive routing protocol for route establishment. The performance of the proposed mechanism is analyzed through NS-2 based simulations and, according to the simulation results, it is shown that the proposed mechanism performs well in terms of the control message overhead.

• Journal of Korea Multimedia Society
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• v.7 no.4
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• pp.550-558
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• 2004

Previous researches on scalability problem of distributed virtual environment (DVE) have been mainly focused on spatial partitioning of area of interest (AOI). Congestion phenomena by avatar groups in AOI have been neglected relatively However, AOI congestion is highly related to scalability of DVE because it exhausts system resources such as network bandwidth and rendering time, and could be a bar to perform collaboration among participants. In this paper, this will be defined as the problem that must be solved for the realization of the scalable DVE, and a model will be proposed to measure and control congestion situation in AOI. The purposes of the proposed model are to prevent high density of participants in AOI, and to protect stable collaboration in DVE. For evaluation of the performance it is compared with a previous method by defining the resource cost model which is dynamically activated to AOI congestion.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.6
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• pp.135-139
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• 2012

The wide diffusion of internet and the overall increased reliance on technology for information communication, dissemination and gathering have created an unparalleled mass of data. Sifting through this data is defining and will define in the foreseeable future a big part of contemporary computer science. Within this data, a growing proportion is given by personal information, which represents a unique opportunity to study human activities extensively and live. One important recurring challenge in many disciplines is the problem of people re-identification. In its broadest definition, re-identification is the problem of newly recognizing previously identified people, such as following an unknown person while he walks through many different surveillance cameras in different locations. Our goals is to review how several diverse disciplines define and meet this challenge, from person re-identification in video-surveillance to authorship attribution in text samples to distinguishing users based on their preferences of pictures. We further envision a situation where multidisciplinary solutions might be beneficial.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.527-531
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• 2003

Previous researches on scalability problem of distributed virtual environment (DVE) have been mainly focused on spatial partitioning of area of interest (AOI). Congestion phenomena by avatar groups in AOI have been neglected relatively. However, AOI congestion is highly related to scalability of DVT because it exhausts system resources such as network bandwidth and rendering time, and could be a bar to perform collaboration among participants. In this paper, this will be defined as the problem that must be solved for the realization of the scalable DVE, and a model will be proposed to measure and control congestion situation in AOI. The purposes of the proposed model are to prevent high density of participants in AOI, and to protect stable collaboration in DVE. For evaluation of the performance it is compared with a previous method by defining the resource cost model which is dynamically activated to AOI congestion.

• Journal of Engineering Education Research
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• v.12 no.2
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• pp.83-88
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• 2009

In this paper the author proposes a case study of a freshmen introduction to engineering design course ing LEGO Mindstorm NXT and analyzes the survey results of the course. The diffilculties are that this course should provide various aspects of design experiences to the students while not requiring the major knowledge and skills and it should attract the students to the engineering major. According to our case study LEGO mindstorm can be a good solution to this problem. The design experience with LEGO Mindstorm NXT provides students with various aspects of design experiences including defining problem, finding constraints and functions, exploring design space, and performing preliminary design, as well as fun. This paper also provides a project list that can be used for freshmen design experience including soccer game robots, line tracer, and vacuum cleaner etc.

• Journal of the Korea Society of Computer and Information
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• v.10 no.1 s.33
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• pp.201-208
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• 2005

Recently, the container terminal requires the study of method to increase efficiency through change of its operation method. Loading plan is a very important part to increase the efficiency of container terminal. Loading Plan is largely divided into two cases, deciding loading location and loading scheduling and this Paper proposes a more efficient method of container loading scheduling. Container loading scheduling is a problem of combination optimization to consider several items of loading location and operation equipments. etc. An existing method of cluster composition that decides the order of container loading scheduling has a restriction to increase the efficiency of work owing to rehandling problem. Therefore, we Propose a more efficient method of container loading scheduling which composes containers with identical attribution, based on ship loading list and yard map, into stack units of cluster, applying to hierarchical clustering method, and defines the restriction of working order. In this process, we can see a possible working path among clusters by defining the restriction of working order and search efficiency will be increased because of restricted search for working path.

• Journal of Ginseng Research
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• v.26 no.1
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• pp.24-30
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• 2002

The methodology introduces the establishment of a regional ginseng information system, which combines a ginseng database and GIS functionalities. The use of a database and GIS in the execution of ginseng studies may be expressed as shown in Kumsan-Gun. The process from defining a high-quality ginseng problem to providing advice and suggestions for solution of the problem is carried out through five steps: a) data collection and retrieval of data from a database; b) processing of data and preparing model input using a GIS; c) running a high quality-ginseng model; d) interpretation of model output using GIS; e) visualization and translation of study results for discussion with involved parties and advice to principals. In ginseng management it is necessary to deal efficiently and adequately with occurring ginseng situation and problems. This requires the availability of a ginseng information system based on a GIS in Kumsan-Gun, which provides up-to-date information which is quickly accessible and easy to process.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.27-34
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• 2020

Today, the use of mobile transportation cards is increasing. Most of the mobile transportation card charging methods use credit card charging methods. The existing credit card charging system has a different process for each card company, and when a system error occurs during the purchase process, there is no function to automatically handle the problem, and thus there is a problem that a person must manually correct the error. In this paper, to improve this part, we propose a system that provides information by purifying the purchases slip item by defining a common process and creating a table defined by metadata. It is expected that through the proposed system, when an error occurs in the charging process, it will reduce development effort and help in the process development research of the charging system.