• The Journal of shipping and logistics
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• v.34 no.4
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• pp.677-694
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• 2018

The ocean is a unique space for exchange with the city, forming an organic relationship between people and waterfront areas. The marine healing industry improves quality of life through medical care and well-being, and creates added value by combining with the medical industry. The policy analysis results are as follows. First, the marine healing industry is the newest high-growth area. Furthermore, a professional medical service hospital is the first priority. This will include the development of marine healing facilities and strengthening forest healing connectivity, emphasizing the development of highly specialized medical technologies. The second priority is value creation in marine healing specialization, accompanied by an integrated and systematic policy for research and development of new medicines in marine healing effects. It is also important to apply new market trends and develop applied marine healing service programs. Thirdly, it is necessary to explore the possibility of a fragmented market for policy development.

• Journal of Platform Technology
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• v.8 no.1
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• pp.10-15
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• 2020

Recently, various industrial sectors have introduced cloud service actively in their business because cloud computing technology enables storage·management and analysis·utilization of data easily in anytime, anywhere. Especially in financial sector, the business provocatively adopted the service and creates various innovative cases; furthermore, already in abroad, the sector has been accelerating digitization of analysis in cases of credit risk, financial fraud data, stock trading etc. On the contrary, in the domestic financial industry, not only the cloud service introduction and innovation cases are underperformed, but most of them are focused on the back-office service. Most Korean financial corporations are burdened with the adoption of cloud service due to various conservative regulatory requirements, such as regulations on data storage and management, regulations on privacy, and other tasks such as developing decision models and establishing responsibility standard for security incidents and service failures. In this study, it would be aimed to contribute to promote the introduction of the cloud in the domestic financial sector by drawing up preemptive challenges and inspecting priorities.

• 한국노년학
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• v.40 no.3
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• pp.389-411
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• 2020

The purpose of this study was to identify the needs and characteristics of Korean senior consumers. To this end, the factors of Maslow's seven-levels of needs hierarchy were re-established and applied to suit the actual situation in Korea. For analysis, an online survey was conducted on 440 adults (50-75 years old), who are considered active seniors living in Korea, on the factors of 7-levels of needs and demographic characteristics. The study found that the 7-levels needs of Korean senior consumers were derived in a different order from Maslow's. Other diverse theoretical and practical implications were also presented.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.462-462
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• 2021

최근 도시화 및 불투수면의 증가와 지하수의 과다한 사용으로 직접유출이 증가하고, 침투량이 감소하며, 하천의 건천화가 발생하고 있다. 이에 환경부에서는 이러한 물순환의 왜곡을 막기위해 물환경보전법상의 물순환율을 정의하고 물순환 관리목표를 설정하였다. 하지만 지역 별 물순환 특성을 반영한 관리계획이 부족하고, 현재 제한된 재원의 효율적 활용을 위해서는 물순환 관리지역에 대한 우선순위 결정도 필요하다. 본 연구에서는 PSR framework를 통해 유역 물순환 평가방법론을 만들고 이를 활용한 지역별 관리계획 및 우선순위를 결정하고자하였다. PSR framework는 지속가능성을 위해 OECD가 개발한 개념 모형이며, Pressure, State, Response 세 가지 요소로 구분해 평가하게된다. PSR framework의 기본 개념은 인간의 활동들이 환경에 압력 (P)를 주고, 이로 인해 자연의 질과 영향 (S)을 미치며, 이에대한 회복을 위해 인식과 행동을 통해 정책과 제도 등을 통해 반응 (R)한다는 것이다. 유역 물순환을 4가지 그룹 (기후, 수문학적, 사회경제학적, 환경적)으로 구분하고 각 그룹 별 평가요소에 대하여 도출하였다. 기후그룹은 강우, 수문학적 그룹은 증발산, 토지이용, 유출특성을, 사회경제학적 그룹은 재정, 사회구조, 기반시설, 정책을, 환경적 그룹은 수질, 수생태계를 선정하였다. 이후 각 요소 별 평가를 위해 다양한 지표를 고려하여 선정하였으며, 각 지표를 PSR framework에 맞춰 재분류하였다. 각 지표를 하나의 점수로 통합하기 위해 지표 별 가중치를 산정하였으며, 이때 연구자의 주관이 반영되지않는 엔트로피 기법을 이용하여 산정하였다. 구한 식을 통해 우리나라 소유역구분을 기준으로 모든 지표를 계산하였으며, 각 지표에 가중치를 적용해 유역 종합점수를 산정하고 유역 별 취약지역 및 취약요소를 평가하였다.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.97-109
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• 2024

This research aims to investigate how major cities in Korea utilize smart city-related technologies, develop key performance indicators (KPIs) to measure the smartness and efficiency of cities, and propose a methodology for assessing and suggesting smart city policy directions based on Data Envelopment Analysis (DEA). Referring to the CITYkeys Smart City Performance Measurement Framework, 10 key performance indicators (KPIs) were derived. For each KPI, city statistical data were allocated to input and output variables, and 15 cities were assigned as Decision Making Units (DMUs). The DEA methodology was employed to evaluate the operational efficiency and scale profitability of cities, providing insights into the operational efficiency of each city. Finally, the operational efficiency among DMUs was ranked to propose smart city policy directions for each city.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.117-128
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• 2024

In this paper, we propose a process for deriving priority tasks using the legal design technique in a situation where there is high uncertainty in the market and legal system regarding the commercialization of security tokens based on blockchain and distributed ledger technology. To issue and distribute securities tokens, we conducted a legal design workshop with participants who applied for innovative financial services (financial regulatory sandbox). During the workshop, participants harmonized their interests and deliberated on readiness, considering both legal and technical factors. The aim was to ascertain the feasibility of identifying prioritized objectives for future endeavors. The legal design technique facilitates consensus-building among stakeholders in an uncertain environment by confirming and adjusting differing perspectives and disagreements based on mutual understanding. The key stages include the empathetic process called "Family Therapy," the "N whys" for problem definition, and the speculative scenario design for problem-solving. This approach distinguishes itself from user-centered design thinking. Given the diverse stakeholders involved, effective facilitation by the facilitator is crucial during the legal design workshop preparation and execution.

• Journal of Korea Multimedia Society
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• v.12 no.11
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• pp.1692-1700
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• 2009

This paper proposes the direction distribution of surface normal vectors as a feature descriptor of three-dimensional models. Proposed the feature descriptor handles rotation invariance using a principal component analysis(PCA) method, and performs mesh simplification to make it robust and nonsensitive against noise addition. Our method picks samples for the distribution of normal vectors to be proportional to the area of each polygon, applies weight to the normal vectors, and applies interpolation to enhance discrimination so that the information on the surface with less area may be less reflected on composing a feature descriptor. This research measures similarity between models with a L1-norm in the probability density histogram where the distances of feature descriptors are normalized. Experimental results have shown that the proposed method has improved the retrieval performance described in an average normalized modified retrieval rank(ANMRR) by about 17.2% and the retrieval performance described in a quantitative discrimination scale by 9.6%~17.5% as compared to the existing method.

• The Korean Journal of Applied Statistics
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• v.31 no.5
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• pp.599-610
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• 2018

The method of Mack and Skillings (Technometrics, 23, 171-177, 1981) is a nonparametric multiple comparison method in a randomized block design with replications. This method is likely to result in loss of information because each block is ranked using the average of observations instead of repeated observations. In this paper, we proposed a new nonparametric multiple comparison method in the randomized block model with replications using an alignment method proposed by Hodges and Lehmann (The Annals of Mathematical Statistics, 33, 482-497, 1962) that extend the joint placement method proposed by Chung and Kim (Communications for Statistical Applications and Methods, 14, 551-560, 2007). In addition, Monte Carlo simulation compared the family wise error rate and power with the parametric method and the nonparametric method.

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.269-282
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• 2007

We propose a personalized concept-based retrieval technique that uses domain ontology. Proposed system consist or representative concept extraction, user profile construction, and concept-based retrieval stages. First, we extract representative concept with using technique form contents and create the domain ontology. We compose user profile analysis that uses domain ontology for personalized concept-based retrieval. To verify the efficiency of the proposed technique, we perform experiment for Internet site in the engineering area. The results of experiment show that the proposed technique using the domain ontology and user profiles is more efficient than the existing techniques. Hence, the proposed concept-based retrieval technique can be expected to contribute to the development of an efficient personalized recommendation system or e-Commerce system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.690-696
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• 2016

Search engines that rely on morphological matching of user query and web document content do not support individual interests. This research proposes a personalized web search scheme that returns the results that reflect the users' query intent and personal preferences. The performance of the personalized search depends on using an effective user profiling strategy to accurately capture the users' personal interests. In this study, the user profiles are the databases of topic words and customized weights based on the recent user queries and the frequency of topic words in click history. To determine the precise meaning of ambiguous queries and topic words, this strategy uses WordNet to calculate the semantic relatedness to words in the user profile. The experiments were conducted by installing a query expansion and re-ranking modules on the general web search systems. The results showed that this method has 92% precision and 82% recall in the top 10 search results, proving the enhanced performance.