• Fire Science and Engineering
• /
• v.24 no.1
• /
• pp.54-63
• /
• 2010

The buildings relevant to the law should be designed performance-based necessarily according to "Fire-Fighting System Installation Business Act" amended, January 1. 2009. Performance based design means that building design reflects structure, size, purpose, and building capacity to achieve the most effective design of fire-fighting system. Performance based design has meaning to buildings that it is insufficient to control fire-fighting by previous law-oriented design or inappropriate by uniform design, because of buildings becoming bigger and higher. However, it is difficult to implement the system actually, because laws relevant to fire-fighting prescribe only the object and the required qualifications of performance based design, but they don't have rules to enforce performance based design for specific parts. This study suggests improvements for a desirable implementation of performance based design in legal aspects, by analyzing the current legal regulations related to performance based design.

• Journal of KIISE:Software and Applications
• /
• v.33 no.6
• /
• pp.525-538
• /
• 2006

Component-Based Software Engineering (CBSE) is widely accepted as new paradigms for building applications with reusable assets. Mismatch problems occur while integrating the assets and make a burden in CBSE. Therefore, a larger-grained reuse unit than a component such as a framework is required, and it consists of relevant components, connectors and domain-specific architecture. The benefits of frameworks over components are commonly known, however, the key elements and internal structure of framework has not been clearly defined. We believe most of the framework models proposed in recent works remain at conceptual level. In this paper, we propose a practical-level framework reference model, and define key elements of frameworks. The research goal is to precisely identify concrete elements of a framework, inter-connection of components within a framework, extended notion of connectors, and tailored meaning of architecture In a framework. Hence, the proposed framework can be practically implemented in common object-oriented languages and with middleware such as lava, J2EE, CORBA Component Model (CCM) and NET.

• Journal of Digital Convergence
• /
• v.19 no.9
• /
• pp.323-333
• /
• 2021

Lil Miquela, who appeared on social media in 2016, is one of the most popular virtual influencers. In particular, Miquela is having a great impact on society by continuing to collaborate with many fashion brands through Instagram. As the activity of virtual influencers is emerging today, this study aims to derive the meanings of contemporary fashion through analyzing Miquela's social media case. This study analyzed Miquela's Instagram posts as research subjects. As a result of the above analysis, it was possible to classify the methods and devices for expressing fashion in Miquela's social media into three categories: storytelling, reality, and tags & hyperlinks. In addition, the meanings of fashion could be derived from three aspects: the object of experience, the direction of technology, and the realization of the spirit of the times. After appearing on social media, Miquela, who has gradually expanded her domain, is a virtual fashion influencer who has built her identity through fashion, and is expected to give new meaning to fashion in the future.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.44 no.1
• /
• pp.71-78
• /
• 2021

Recently the meaning of the road name address is expended as an information through the revision of the Road Name Address Act. As this revision, the address of things (AoT) become more important indicating the possibility for the expansion to the related business. However, recent study about AoT does not concern how the current priority system works from the first research. In this study, we analyze perception about addressable object between AoT experts and public using AHP analysis. We structured the importance of addressable objects as two categories; urgency and value creation. The necessity in emergency or daily, accessibility and welfare conform the urgency index. Meanwhile, public value creation in public domain or profitability in the business area and economics conform value creation index. We conducted survey for total of 89 of experts and public. The results of this study indicate the relative importance of AoT measured by experts and public. Generally, public tend to concern more about accessibility conforming the urgency index than experts. Moreover, the public WiFi and the sports complex scored the high priority among the remain addressable objects, in respect of the urgency and the value creation. This result could be implemented for the activation of the smart city industry base on the geospatial information including AoT.

• Journal of Arbitration Studies
• /
• v.32 no.2
• /
• pp.135-157
• /
• 2022

Religion has a very close relationship with our everyday lives. In particular, religion maintains an absolute and ultimate value system and is deeply associated with all sectors of society such as politics, economy, thought, arts, culture, and science. The original meaning of religion in Buddhism means the teachings that become fundamentals. There are numerous religions around the world, and each religion has its own object of faith, different system, and unique rites and lifestyles. Therefore, evaluating or denouncing other regions based on the doctrines or conventions of a specific religion can lead to conflicts and disputes. The Buddhist Vinaya Pitaka related to alternative dispute resolution (ADR) is a method regarding the operation of a community. Vinaya Pitaka contains Buddha's teachings about individual and organizational ethics and on community life and activities. It is the Buddhist dispute resolution (BDR) of the Vinayata Pitaka that contains knowledge on howto remedy disputes among the four types of disputes that can occur. Vinaya Pitaka contains the principles and systems of BDR, and it is sufficient background for succeeding in the development of harmony today. The messages of laws, ethics, and Buddhist teachings are clear in these characteristics. The systems, progress, and procedures for various rites, events, and disputes as well as for everyday life, etc. display a rational operating system through karma. In particular, when disputes occur, the cause of the dispute is resolved as much as possible through transparent fairness and being unanimous using the seven remedies for disputes. Buddhist priests pursue private autonomy of ADR through karma, repentance, acceptance, etc. to maintain and continue the integrated functions of Buddhist priest harmony.

• The Journal of the Korea Contents Association
• /
• v.22 no.9
• /
• pp.712-726
• /
• 2022

The purpose of this study is to find out what discourse the newspaper's articles produce and distribute about 'drug addiction' and to reveal the topography and meaning of the discourse. Data were collected by searching 'drug' 'drug addiction' as keywords for news articles in four daily newspapers in Korea. As a result of analyzing using Norman Fairclough's critical discourse analysis, first, the 'crime-punishment' discourse was dominant in textual analysis. Drug addiction is a social evil and a serious crime such as sex crimes, child crimes, and violence, so it should be strictly punished. Second, in the discourse practice analysis, drug addiction is a mental disease that needs treatment, so systematic management by the state is required. Third, in the socio-cultural practice analysis, drug addiction is a means of making money for economic benefit, is related to corruption of political power, and is an object that should be strongly controlled to prevent drug crimes from threatening the foundation of the state. Culturally, drug addiction stems from the motivation of pleasure seeking, and is the result of moral degradation. Through this analysis, the conversion to the 'disease-treatment' discourse and drug policies centered on treatment and rehabilitation were suggested as alternatives.

• Education of Primary School Mathematics
• /
• v.25 no.4
• /
• pp.395-410
• /
• 2022

Nominalization is one of the grammatical metaphors, and it is the representation of verbal meaning through noun equivalent phrases. In mathematical word problems, texts using nominalization have both the advantage of clarifying the object to be noted in the mathematization stage, and the disadvantage of complicating sentence structure, making it difficult to understand the sentences and hindering the experience of the full steps in mathematical modelling. The purpose of this study is to analyze word problems in the textbooks from the perspective of nominalization, a linguistic element, and to derive implications in relation to students' difficulties during solving the word problems. To this end, the types of nominalization of 341 word problems from the content domain of 'Numbers and Operations' of elementary math textbooks according to the 2015 revised national curriculum were analyzed in four aspects: grade-band group, main class and unit assessment, specialized class, and mathematical expression required word problems. Based on the analysis results, didactical implications related to the linguistic expression of the mathematical word problems were derived.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.2
• /
• pp.365-380
• /
• 2022

The target detection algorithm based on supervised learning is the current mainstream algorithm for target detection. A high-quality dataset is the prerequisite for the target detection algorithm to obtain good detection performance. The larger the number and quality of the dataset, the stronger the generalization ability of the model, that is, the dataset determines the upper limit of the model learning. The convolutional neural network optimizes the network parameters in a strong supervision method. The error is calculated by comparing the predicted frame with the manually labeled real frame, and then the error is passed into the network for continuous optimization. Strongly supervised learning mainly relies on a large number of images as models for continuous learning, so the number and quality of images directly affect the results of learning. This paper proposes a dataset STAR-24K (meaning a dataset for Space TArget Recognition with more than 24,000 images) for detecting common targets in space. Since there is currently no publicly available dataset for space target detection, we extracted some pictures from a series of channels such as pictures and videos released by the official websites of NASA (National Aeronautics and Space Administration) and ESA (The European Space Agency) and expanded them to 24,451 pictures. We evaluate popular object detection algorithms to build a benchmark. Our STAR-24K dataset is publicly available at https://github.com/Zzz-zcy/STAR-24K.

• Journal of the Korean Institute of Rural Architecture
• /
• v.24 no.3
• /
• pp.47-57
• /
• 2022

This study attempted to grasp the status and perception of Uljin Geumgangsong by grasping mass media issues and user perception using big data, and to present basic data when constructing monitoring using user perception by examining the establishment relationship of agenda setting from a time-series perspective. The results of collecting and analyzing text data that can identify mass media and visitor awareness are as follows. First, both mass media and visitor keywords were related to the importance of the value and meaning of Uljin Geumgangsong. Second, in the case of the connection network, Geumgang Pine Agriculture was centered, but in the case of difference in perception between mass media and visitors, such results were derived due to the object of interest. Third, in the case of the connection relationship structure, the connection strength was strong because there were many overlapping contents of mass media. Fourth, as a result of the centrality analysis, both mass media and visitor-aware keywords were positively recognized as spaces created and maintained through institutional support, and objective perception could be grasped by finding hidden keywords. Fifth, as a result of time series analysis, it was possible to grasp the flow through the issue keywords that appeared by period, and unlike the past, it was recognized as a place for tourism and travel. Finally, as a result of examining whether the agenda setting is consistent, there is a mass media influence, so it is thought that more diverse and more information and publicity are needed by utilizing it.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.12
• /
• pp.4420-4438
• /
• 2021

Image dehazing is an ill-posed problem which is far from being solved. Traditional image dehazing methods often yield mediocre effects and possess substandard processing speed, while modern deep learning methods perform best only in certain datasets. The haze removal effect when processed by said methods is unsatisfactory, meaning the generalization performance fails to meet the requirements. Concurrently, due to the limited processing speed, most dehazing algorithms cannot be employed in the industry. To alleviate said problems, a lightweight fast dehazing network based on a multiple scale-patch framework (MSP) is proposed in the present paper. Firstly, the multi-scale structure is employed as the backbone network and the multi-patch structure as the supplementary network. Dehazing through a single network causes problems, such as loss of object details and color in some image areas, the multi-patch structure was employed for MSP as an information supplement. In the algorithm image processing module, the image is segmented up and down for processed separately. Secondly, MSP generates a clear dehazing effect and significant robustness when targeting real-world homogeneous and nonhomogeneous hazy maps and different datasets. Compared with existing dehazing methods, MSP demonstrated a fast inference speed and the feasibility of real-time processing. The overall size and model parameters of the entire dehazing model are 20.75M and 6.8M, and the processing time for the single image is 0.026s. Experiments on NTIRE 2018 and NTIRE 2020 demonstrate that MSP can achieve superior performance among the state-of-the-art methods, such as PSNR, SSIM, LPIPS, and individual subjective evaluation.