• The KIPS Transactions:PartD
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• v.11D no.2
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• pp.351-360
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• 2004

Most mobile agents are migrated to many mobile agent systems by the sequential node migration method. However. in this case, if some problems such as host's fault or obstacle etc. happened, mobile agent falls infinity walt or orphan states. Therefore, it is difficult to get an expectation effect as use of other distribution technologies because the required time for networking between nodes increases. And so, many researches have been performed to solve this problems. However, most of methods decide node migration based on passive routing table or detour hosts which have some problems. Actually, the researches for reducing the total required time for networking are insufficient yet. In this paper, to reduce the required time for networking of mobile agent we design an active routing table based on the information of implemented objects which are registered in the meta-table of naming agent. And also, for user's keyword, we propose an replication model that replicates many agent object according to the information and number of object references corresponding to meta-table. Replicated objects are migrated to mobile agent systems in parallel and it provides minimized required time for networking.

• The Transactions of the Korea Information Processing Society
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• v.4 no.10
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• pp.2581-2595
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• 1997

In this paper, the real-time facility of the operating system for a VOD(Video On Demand) server have been analyzed and implemented. The requirements of the real-time scheduling have been gathered by analyzing the model of the video-data-transfer-path. Particularly, the influence of the bottleneck subsystem have been analyzed. Thus, we have implemented the real-time scheduler and primitives which is proper for processing the digital video. In performance measurements, the degree of the guarantee of the real-time scheduler have been experimented. The measured data show that the most time constraints of the process is satisfied. But, the network protocol processing by the interrupt is a major obstacle of the real-time scheduling. We also have compared the difference between the real-time scheduler and the non-real-time scheduler by measuring the inter-execution time. According to the measured results, the real-time scheduler should be used for efficient video service because the processor time allocated to the process can't be estimated when the non-real-time scheduler is used.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.3
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• pp.581-589
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• 2008

The goal of a simulator is to provide for the testing of new technologies and to facilitate the eventual transfer of these technologies to the applications. In the Development Step, Simulation can provide a cost effective alternative to expensive and hazardous field testing. In this paper, a 3D simulator is developed to test UUV navigation system bated on RVC model. The simulation system consists of a environment manager, objects and a 3D viewer. Objects are modeling all physical elements such as map, obstacle and UUV which reside in a underwater environment. Those objects are created and initialized by environment manager. The environment manager plays the role of intermediator which allows created objects to interact with each other, and transmits information on the objects to 3D viewer. The 3D viewer analyzes the received information and visualizes 3D graphic by using OpenGL primitives.

• Journal of the Korea Society of Computer and Information
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• v.14 no.2
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• pp.211-219
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• 2009

The logistic environment of Korean companies faces very challenging circumstances due to lack of resources and tough price competitions. It is obvious that such a load of logistic cost becomes an obstacle to national or business competition advantages in the era of unlimited market competition. Prior studies concerning these issues sought to express a large-scale distribution network in a unified numerical formula using defined symbols and could take systematic approaches to distribution network. But inventory policy and operation in material distribution system have been limited to conventional methodology. so they are exposed to many questions in practical applications. This study analyzed distribution system cost and developed a relevant model for operation policy of distribution system for the efficeient treating of stockout. allowing practical applications, so that it will contribute to saving operational cost related to material distribution system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1872-1879
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• 2022

Recently, with the development of artificial intelligence technology, research to use artificial intelligence to detect hacking attacks is being actively conducted. However, the fact that security data is a representative imbalanced data is recognized as a major obstacle in composing the learning data, which is the key to the development of artificial intelligence models. Therefore, in this paper, we propose a W-VAE oversampling technique that applies VAE, a deep learning generation model, to data extraction for oversampling, and sets the number of oversampling for each class through weight calculation using K-NN for sampling. In this paper, a total of five oversampling techniques such as ROS, SMOTE, and ADASYN were applied through NSL-KDD, an open network security dataset. The oversampling method proposed in this paper proved to be the most effective sampling method compared to the existing oversampling method through the F1-Score evaluation index.

• Korea Trade Review
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• v.48 no.3
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• pp.199-216
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• 2023

Rapidly growing cross-border e-commerce exhibits different characteristics from traditional trade. This paper empirically investigates influencing factors of CBEC trade between Korea and foreign countries including product characteristics, such as product type and unit price. We construct panel data based on Korea's e-commerce export data by country and product and analyze it by the OLS, fixed effect, and random effect estimation. Our main findings can be summarized as follows: geographical distance still remained as an obstacle to the CBEC trade, product unit price, and durable consumer goods dummy variables positively affect e-commerce export of Korea, and capital goods dummy variables negatively affect e-commerce export. This research can help us understand the characteristics of cross-border e-commerce and can be used as a basis for future research using product-specific data.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.455-462
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• 2024

In the construction industry, known for its dynamic and hazardous environments, there exists a crucial demand for effective safety incident prevention. Traditional approaches to monitoring on-site safety, despite their importance, suffer from being laborious and heavily reliant on subjective, paper-based reports, which results in inefficiencies and fragmented data. Additionally, the incorporation of computer vision technologies for automated safety monitoring encounters a significant obstacle due to the lack of suitable training datasets. This challenge is due to the rare availability of safety accident images or videos and concerns over security and privacy violations. Consequently, this paper explores an innovative method to address the shortage of safety-related datasets in the construction sector by employing generative artificial intelligence (AI), specifically focusing on the Stable Diffusion model. Utilizing real-world construction accident scenarios, this method aims to generate photorealistic images to enrich training datasets for safety surveillance applications using computer vision. By systematically generating accident prompts, employing static prompts in empirical experiments, and compiling datasets with Stable Diffusion, this research bypasses the constraints of conventional data collection techniques in construction safety. The diversity and realism of the produced images hold considerable promise for tasks such as object detection and action recognition, thus improving safety measures. This study proposes future avenues for broadening scenario coverage, refining the prompt generation process, and merging artificial datasets with machine learning models for superior safety monitoring.

• International Commerce and Information Review
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• v.13 no.3
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• pp.377-401
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• 2011

Under the WTO system, direct export support system that provides financial and tax related support is altogether prohibited. This presented an obstacle in strengthening competitiveness of Korean export business and in increasing exports continuously. One of the methods used to solve this problem was to actively leverage export insurance. In Korea, export insurance services have been conducted by the Korea Trade Insurance Corporation (k-sure) to promote export. Korea has been among the world's active users of the export insurance system. Given this situation, this paper examines the effectiveness of the Korea export insurance system in the promotion of export. In particular, this study analyzed about discriminating effects of the export insurance on the export of big and small-medium business. In order to analyze, We introduce a Export Supply Function model. In this paper, We construct two model. The one is about big business, the other is small-medium business. For empirical analysis, unit-root test was conducted to understand the safety of time series. The results show that all variables are not I(0) time series. Instead, they are I(1) time series. To this, cointegration verification was conducted based on the use of Johansen verification method to define the existence (or non-existence) of long-term balance relationship among variables. The results come out as follows. The export insurance of big business has a stronger effect on export than that of small-medium business. The cause of these results is due to the distinct structure of Korea industries. In view of the fact that the insurance can make the risk decreased. We can say that the export insurance affects the export of a high-risk country.

• Korean Journal of Social Welfare
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• v.69 no.3
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• pp.241-265
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• 2017

This study was conducted to propose anti-stigma strategies by verifying the social stigma on behavioral addiction under the premise that social stigma is a main obstacle to the treatment of addiction. A research model was constructed by applying the attribution affection theory and the modified attribution affection theory, which are very useful for explaining emotional and behavioral responses to the persons with mental illness. In other words, when attributing the causes of behavioral addiction to the personally controllable things such as personality, will and lifestyle, social distance can be increased by the mediate of anger. However, when attributing the causes of behavioral addiction to biological factors that can not be controlled by an individual, there can exist two pathway, one is the arising of helping behaviors by the mediate of sympathy (the attribution affection theory), and the other is the aggravation in the social distance due to rising fear (the modified attribution affection theory). In order to verify the research model, 383 adult subjects mainly in South Gyeongsang Province were randomly presented with the vignettes of gambling addiction and internet game addiction, and asked about the causes of the problems and their emotional, prejudicial, and behavioral responses to them. As a result, all pathway had statistically significant predictive effect. Therefore, in the case of attributing to personal causes, social distance increased by the mediate of anger. In the case of attributing to biological causes, both pathway had significant predictive effect, but the indirect effect of the pathway predictive of the helping behavior by the mediate of sympathy was greater. Researchers suggested that anti-stigma strategies, which emphasize that behavioral addiction is a mental health problem requiring treatment, are necessary.

• Spatial Information Research
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• v.22 no.6
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• pp.67-79
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• 2014

These days open source softwares are being introduced and applied in many countries in the world. Especially, both government and private companies tend to become an spearhead in vitalizing the open source software. In this paper we try to check the degree of vitalizations in open source GIS software and to draw implications in vitalizing ecosystem of open source GIS software. Key players of open source GIS software ecosystem are government, private companies, academic and research institutes, and nonprofit foundations. Government does not have very little policies related to the investment and the support of open source GIS software. Private companies related to the open source GIS software are very few in the number and do not have any clear business model to make a profit. Academic and research institutes are weak in using the open source GIS software, which can be an major obstacle to cultivate software developers. OSGeo Korean branch, established in 2009, is the only nonprofit foundation in Korea which makes an effort to vitalize the open source GIS software, but its results are not very strong up to now in view of both quality and invigoration. In order to vitalize the open source GIS software ecosystem, lots of efforts of key players are needed. Especially, government efforts are very important because it can provide a trigger in vitalizing the open source GIS software ecosystem. The tasks that government should propel are R&D investment, test bed projects in the area of public sector, professional manpower training, and international cooperation and marketing.