• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.279-280
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• 2023

소방청 국정감사에서 2020년 전국 자동화재속보설비 화재신고 32,764건 가운데 32,685건이 오작동으로 출동해 소방서 출동의 99.8%가 헛걸음이었다. 그리고 화재가 발생할 경우 화재경보장치와 대피경로를 안내하는 비상등이 미흡하고, 화재 연기가 제거되지 않아 대피가 힘들어질 뿐만 아니라 미처 대피 못한 인원을 파악하는 등의 신속한 대처가 힘들다. 본 논문은 화재 상황에서 피해를 최소화하기 위한 '스마트 화재 안전 시스템' 기술을 제안한다. 화재가 발생할 경우, 대피 경로를 안내하는 유도등 작동 및 경보음과 LED의 작동으로 화재발생을 경고하여 신속한 대처를 할 수 있게 도와주고, 문과 창문의 자동 개방 및 환기팬 작동으로 인한 유해가스를 환기시켜 준다. 그리고 스프링클러 작동과 소화제를 자동 분사하여 화재의 번짐 등 2차 피해를 예방하여 준다. 또한, 자동 신고 기능으로 더욱 빠르게 화재를 진압할 수 있게 도와주기 때문에 피해를 최소화할 것이다.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.147-153
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• 2023

In recent times, an absence of effective crowd management has led to numerous stampede incidents in crowded places. A crucial component for enhancing on-site crowd management effectiveness is the utilization of crowd counting technology. Current approaches to analyzing congested scenes have evolved beyond simple crowd counting, which outputs the number of people in the targeted image to a density map. This development aligns with the demands of real-life applications, as the same number of people can exhibit vastly different crowd distributions. Therefore, solely counting the number of crowds is no longer sufficient. CSRNet stands out as one representative method within this advanced category of approaches. In this paper, we propose a crowd counting network which is adaptive to the change in the density of people in the scene, addressing the performance degradation issue observed in the existing CSRNet(Congested Scene Recognition Network) when there are changes in density. To overcome the weakness of the CSRNet, we introduce a system that takes input from the image's information and adjusts the output of CSRNet based on the features extracted from the image. This aims to improve the algorithm's adaptability to changes in density, supplementing the shortcomings identified in the original CSRNet.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.140-147
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• 2024

Oil and gas industry is a unique sector with complex activities, long supply chains and strict rules for the business. It is important to use enterprise resource planning (ERP) systems to address these challenges as it helps in simplifying operations, improving efficiency and facilitating evidence-based decision making. Nonetheless, successful integration of ERP systems in this industry involves careful planning, customization and alignment with specific business processes including regulatory requirements. Several critical factors, such as strong change management, support of top managers and training that works have been identified in the study. Amongst the hurdles are employee resistance towards the changes, data migration complications and integration with existing systems. Nonetheless, NOCL's ERP implementation resulted in significant improvements in operating efficiency, better data visibility and compliance management. It also led to a decrease in financial reporting timeframes, more accurate inventory tracking and improved decision-making capabilities. The study provides useful insights on how to optimize oil and gas sector ERP implementations; key among them is practical advice including strengthening change management strategies, prioritizing data security and collaborating with ERP vendors. The research highlights the importance of tailoring ERP solutions to specific industry needs as well as emphasizes the strategic role of ongoing monitoring/feedback for future benefits sustainability.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.283-304
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• 2018

mankind has evolved to stand upright a million years ago. However entering an industrial society, much has changed in only a few decades. Human beings spend more time sitting down and working, which negatively affects their bodies. Leading medical studies have shown that the prolonged working conditions have significantly affected the causes of adult illnesses that we have known. Human beings have evolved in a moving direction. So, like modern societies, sitting or standing in one space for long periods of time without movement brings various side effects to the body. Reflecting this background, this study has led to think of work in an environment that is taking the evolutionary biology perspective from a traditional standing, standing work environment. They also plan to conduct an experiment to handle work with smartphones in the hopes of expanding their mobile office environment to use smartphones in the field, which is a type of smart work. The study could help build and establish a mobile office environment, a type of smart work. In addition to using smartphones, a working environment can be created that works by moving around. Furthermore, the paradigm of the work environment of businesses and students could be changed.

• Information Systems Review
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• v.25 no.4
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• pp.89-112
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• 2023

In March 2020, as it was declared a COVID-19 pandemic, various quarantine measures were taken. Accordingly, many changes have occurred in the tourism and hospitality industries. In particular, quarantine guidelines, such as the introduction of non-face-to-face services and social distancing, were implemented in the restaurant industry. For decades, research on restaurant attributes has emphasized the importance of three attributes: atmosphere, service quality, and food quality. Nevertheless, to the best of our knowledge, research on restaurant attributes considering the COVID-19 situation is insufficient. To respond to this call, this study attempted an exploratory approach to classify new restaurant attributes based on understanding environmental changes. This study considered 31,115 online reviews registered in Naverplace as an analysis unit, with 475 general restaurants located in Euljiro, Seoul. Further, we attempted to classify restaurant attributes by clustering words within online reviews through TF-IDF and LDA topic modeling techniques. As a result of the analysis, the factors of "prevention of infectious diseases" were derived as new attributes of restaurants in the context of COVID-19 situations, along with the atmosphere, service quality, and food quality. This study is of academic significance by expanding the literature of existing restaurant attributes in that it categorized the three attributes presented by existing restaurant attributes and further presented new attributes. Moreover, the analysis results have led to the formulation of practical recommendations, considering both the operational aspects of restaurants and policy implications.

• Journal of Internet Computing and Services
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• v.17 no.1
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• pp.23-33
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• 2016

The current smart lighting is shaped to offer the lighting environment suitable for current context, after identifying user's action and location through a sensor. The sensor-based context awareness technology just considers a single user, and the studies to interpret many users' various context occurrences and conflicts lack. In existing studies, a fuzzy theory and algorithm including ReBa have been used as the methodology to solve context conflict. The fuzzy theory and algorithm including ReBa just avoid an opportunity of context conflict that may occur by providing services by each area, after the spaces where users are located are classified into many areas. Therefore, they actually cannot be regarded as customized service type that can offer personal preference-based context conflict. This paper proposes a priority-based LED lighting control system interpreting multiple context conflicts, which decides services, based on the granted priority according to context type, when service conflict is faced with, due to simultaneous occurrence of various contexts to many users. This study classifies the residential environment into such five areas as living room, 'bed room, study room, kitchen and bath room, and the contexts that may occur within each area are defined as 20 contexts such as exercising, doing makeup, reading, dining and entering, targeting several users. The proposed system defines various contexts of users using an ontology-based model and gives service of user oriented lighting environment through rule based on standard and context reasoning engine. To solve the issue of various context conflicts among users in the same space and at the same time point, the context in which user concentration is required is set in the highest priority. Also, visual comfort is offered as the best alternative priority in the case of the same priority. In this manner, they are utilized as the criteria for service selection upon conflict occurrence.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.59-65
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• 2016

The result of analyzing the cognitive reaction due to the color environment has been applied to various filed especially in medical field. Moreover, the study about the identification of patient's condition and examination the brain activity by collecting the bio-signal based on the color environment is being actively conducted. Even though, there were a variety of experiments by convention the color environment using a light or LED color, it still has a problem that affects the psychological information. Therefore, our proposed system using a HMD (Head Mounting display) to provide a completed color environment condition. This system uses the BMS(Biomedical System) to collect the biometric information which responds to the specific color condition and the human body response information can be measured by the development the Memory and Attention test on Mobile phone. The collection of Biometric information includes electro cardiogram(ECG), respiration, oxygen saturation (Sp02), Bio-impedance, blood pressure will store in the database. In addition, we can verify the result of the human body reaction in the color environment by Memory and Attention application. By utilizing the reaction of the human body information that is collected thought the proposed system, we can analyze the correlation between the physiological information and the color environment. And we also expect that this system can apply to the medical diagnosis and treatment. For future work, we will expand the system for prediction and treatment of Alzheimer disease by analyzing the visualization data through the proposed system. We will also do evaluation on the effectiveness of the system for using in the rehabilitation program.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.254-266
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• 2011

Wired and mobile Internet has led to increase in online broadcasting content market size. In particular, the fast-growing smart devices like smart phone and tablet PC in mobile Internet market has accelerated the growth of online broadcasting content service market. Meanwhile, the illegal distribution of online broadcasting content has been widespread in this market. There are also significant transaction costs, search costs, contracting and coordination costs in online broadcasting content market. MCP(Master content provider) which is a content distributor has been playing a critical role in preventing illegal content distribution, reducing costs and removing inefficiencies of online broadcasting content market. Thus, the purpose of this study is to investigate the competency of MCP to streamline the online broadcasting contents market from the resource- based view. And this study conducted a case study to explain the status of online broadcasting content market and define what kinds of problems and issues are there in the market in a systematic way. The case study also showed how MCP competency plays an important role in reducing administrative and transaction costs and in solving illegal content distribution and other inefficiencies of the online broadcasting contents market.

• Journal of Korea Water Resources Association
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• v.56 no.10
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• pp.619-629
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• 2023

Recent intensification of climate change has led to an increase in damages caused by droughts. Currently, in Korea, the Standardized Precipitation Index (SPI) is used as a criterion to classify the intensity of droughts. Based on the accumulated precipitation over the past six months (SPI-6), meteorological drought intensities are classified into four categories: concern, caution, alert, and severe. However, there is a limitation in classifying drought intensity solely based on precipitation. To overcome the limitations of the meteorological drought warning criteria based on SPI, this study collected emergency water supply damage data from the National Drought Information Portal (NDIP) to classify drought intensity. Factors of SPI, such as precipitation, and factors used to calculate evapotranspiration, such as temperature and humidity, were indexed using min-max normalization. Coefficients for each factor were determined based on the Genetic Algorithm (GA). The drought intensity based on emergency water supply was used as the dependent variable, and the coefficients of each meteorological factor determined by GA were used as coefficients to derive a new Drought Severity Classification Index (DSCI). After deriving the DSCI, cumulative distribution functions were used to present intensity stage classification boundaries. It is anticipated that using the proposed DSCI in this study will allow for more accurate drought intensity classification than the traditional SPI, supporting decision-making for disaster management personnel.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.177-185
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• 2024

The socio-cultural notion that appearance is something that can be created and managed, as opposed to something that is innate, has led to increased demands and expectations for appearance management. As the perception of appearance affects not only the oneself but also interpersonal relationships, increased satisfaction with one's appearance has the positive aspect of psychological stability, which leads to more active social participation. This study examined the effects of makeup and clothing adopted as appearance management behaviors and appearance satisfaction on interpersonal relationships, and analyzed the mediating effect of appearance management behaviors on interpersonal satisfaction through appearance satisfaction. The research method was a questionnaire, and 85 questionnaires were used in the final analysis. SPSS 28.0 and SmartPLS 4 were used to analyze the data. As a result of the analysis, it was found that among the women's appearance management behaviors, makeup has a defining effect on appearance satisfaction, and appearance satisfaction has a defining effect on interpersonal relationships. In addition, it was found that appearance satisfaction mediates the relationship between makeup and interpersonal relationships among appearance management behaviors. Although this study is limited in its generalizability to members of society as a whole because it was conducted on a sample of female college students in their 20s, it is significant in that it confirmed that practicing appearance management behaviors, reflecting the socio-cultural notion that appearance is created and managed, positively affects the formation of interpersonal relationships with psychologically stable members of society by making them confident in their appearance.