• The Transactions of the Korea Information Processing Society
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• v.1 no.2
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• pp.194-201
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• 1994

Recently, as application fields of software is extended, relative importance of software make a gradual increase and importance of development cost is being increased. However, as former evaluation model of development cost evaluate at the functional point of view for the most part, at this paper, I intend to propose evaluation model of software development cost COSMOS-Q(COSt MOdel for Subcontract-Quality) which one evaluate also in quality as well as function. The model proposed in this paper set the goal at software orderer evaluate software cost exactly with only order specification information. At this paper, I proposed cost evaluation model and evaluated it's validity refering to review result in ISO/SC7 about a software quality feature with extraction of quality feature factor which produce change of cost and set up the evaluation measure adoptable as order condition.

• Journal of the Korean Society of Industry Convergence
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• v.7 no.2
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• pp.193-198
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• 2004

This is the dissertation of the study of design characteristics about the practical flexible manufacturing system (PFMS). The basic ideas to analyze the manufacturing system which is the automatically operated is dependant on the various manufacturing procedures in factory. PFMS is the very useful equipment for students and trainee of production lines. This system is composed of hardware and software sub systems i.e. control and test unit and personal computer with software. The PFMS can be developed with design concepts and approved the capability of first article with functional tests. The PFMS module will be very useful for the manufacturing drill system in universities and practical fields. The flexible manufacturing systems have various subsystems appropriated for the final manufacturing products. Therefore the systems have the various kinds of hard wares as well as softwares. We study the software for the practical flexible manufacturing system designed in the Halla University and specially the design concept and using specification of the SCARA (Selective Compliance Assembly Robot Arm) robot which is used for the movement of the product is analyzed and introduced in this dissertation.

• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.41-45
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• 2017

Virtual Reality (VR) is widely used in various fields, and it is expanding game and movie toward health care, business Software, education, and web services. Especially various researches are actively conducted in the field of exhibition, utilizing smart phone based detachable HMD (Head Mounted Display). The VR exhibition solves addresses both temporal and spacial constraints overcoming the unilateral information transfer exhibitions. This paper presents a method to overcome the limitation of time, space, and unidirectional information transfer in offline exhibition, and also presents a new method that utilizes multimedia visual design artwork as VR contents.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.230-240
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• 2021

This paper presents the definition of a business process and a taxonomy of anomalies in BPMN. Graphical modeling is very popular nowadays and is easily understood by various specialists from different fields. Modeling is a graphical representation of processes in an organization using available rules and resources. Therefore, it is important to use a universal and comprehensive standard to describe models of processes, decisions and software. Such a standard is the BPMN notation, which is a precise notation, but unfortunately it is only a descriptive and graphical form that may contain inaccuracies. The aim of this paper is to collect and analyze available literature describing current state of knowledge about BPMN notation and to present problems and shortcomings related to this topic. The paper includes a taxonomy of problems, their definitions and examples of occurrence in real cases.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.75-88
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• 2023

In a specific domain, experts have different understanding of domain knowledge or different purpose of constructing ontology. These will lead to multiple different ontologies in the domain. This phenomenon is called the ontology heterogeneity. For research fields that require cross-ontology operations such as knowledge fusion and knowledge reasoning, the ontology heterogeneity has caused certain difficulties for research. In this paper, we propose a novel ontology matching model that combines word embedding and a concatenated continuous bag-of-words model. Our goal is to improve word vectors and distinguish the semantic similarity and descriptive associations. Moreover, we make the most of textual and structural information from the ontology and external resources. We represent the ontology as a graph and use the SimRank algorithm to calculate the structural similarity. Our approach employs a similarity queue to achieve one-to-many matching results which provide a wider range of insights for subsequent mining and analysis. This enhances and refines the methodology used in ontology matching.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.200-202
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• 2023

SDN (Software Defined Networking) is an emerging networking system which differs from traditional network architecture. Moreover SDN has many advantages and special capabilities that traditional networks do not have. SDN and P4 are related in that they can be combined to create more advanced and intelligent networking systems. Additionally, Al has emerged as a transformative force in various fields, including SDN. By applying Al and P4 to SDN, network administrators can leverage the power of them to make impact on SDN security. We offer an overview of recent trend of SDN security integrating P4 a nd Al in this study.

• Journal of Information Processing Systems
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• v.19 no.6
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• pp.803-816
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• 2023

Explainable artificial intelligence is a method that explains how a complex model (e.g., a deep neural network) yields its output from a given input. Recently, graph-type data have been widely used in various fields, and diverse graph neural networks (GNNs) have been developed for graph-type data. However, methods to explain the behavior of GNNs have not been studied much, and only a limited understanding of GNNs is currently available. Therefore, in this paper, we propose an explanation method for node classification using graph convolutional networks (GCNs), which is a representative type of GNN. The proposed method finds out which features of each node have the greatest influence on the classification of that node using GCN. The proposed method identifies influential features by backtracking the layers of the GCN from the output layer to the input layer using the gradients. The experimental results on both synthetic and real datasets demonstrate that the proposed explanation method accurately identifies the features of each node that have the greatest influence on its classification.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.130-139
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• 2009

Most of the movies currently being created are used by CG. As for movie of today, the location of visual effect from film business rose highly with CG introductions to do not ask a style. The CG gets attention recently, and expand a market at rapid pace, the biggest reason are development of software and computer hardware. Advancement of computer technology and technique discharge numerous VFX artists therefore visual effect are possible to deliver with low-budget feature and commercial films more common. As for CG fields Hollywood in United States has most advancement of the computer techniques that create a lot of visual effect artists. However CG techniques of Korea also developed absurdly, because movie market of Korea is getting bigger. Korean CG technology get catching up at the CG techniques of Hollywood every year, however goal of this research in order to study is current address and future possibility of development of Korean CG. The CG example which from the movie was already screened that in the depth. Through movie of existing and knows a different partial authorization, tries to observe the possibility of development of future Korean CG fields.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.155-162
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• 2020

Among the fourth industrial revolution technologies, products related to healthcare using IoT and sensors are currently being developed. We design and develop an interaction system based on user standing posture recognition using multi-channel large area pressure sensors in this paper. To this end, first of all we investigate major sensor markets of the sensor industry and review technology trends and the current and future of smart healthcare. Based on this survey, we examine and compare cases developed at home and abroad for multi-channel large-area pressure sensors, which are key components of the system that we want to develop. We recognize the standing posture status of the user through the developed system and experiment with how effective it is actually in user posture calibration and apply the research results to various healthcare devices' medical fields based on this.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.4B
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• pp.771-782
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• 2000

In this paper, an H.263 video codec is implemented by adopting the concept of hardware and software co-design. Each module of the codec is investigated to find which approach between hardware and software is better to achieve real-time processing speed as well as flexibility. The hardware portion includes motion-related engines, such as motion estimation and compensation, and a memory control part. The remaining portion of theH.263 video codec is implemented in software using a RISC processor. This paper also introduces efficient design methods for hardware and software modules. In hardware, an area-efficient architecture for the motion estimator of a multi-resolution block matching algorithm using multiple candidates and spatial correlation in motion vector fields (MRMCS), is suggested to reduce the chip size. Software optimization techniques are also explored by using the statistics of transformed coefficients and the minimum sum of absolute difference (SAD)obtained from the motion estimator.