• Asia Marketing Journal
• /
• v.5 no.3
• /
• pp.35-59
• /
• 2003

본 연구는 동일 제품범주 내에서 상호 대체가능성(substitutability)을 중심으로 연구 되어 왔던 상표간의 사용상황 대체(substitution-in-use) 이론을 산업간 경쟁의 차원으로 확대하여 적용할 수 있는 가능성을 탐색하는데 그 목적이 있다. 이를 위해 소비자의 소비경험이 선택기준의 중요한 요소로 작용하는 서비스부문을 대상으로 소비자의 선택동기, 즉 소비동기의 차원에서 산업간 경쟁구조와 경쟁강도를 분석하고자 하였다. 연구의 범위는 마케팅 분야에서 비교적 소외되어 왔던 엔터테인먼트 부문, 특히 문화예술부문과 스포츠부문에 초점을 맞추었다. 연구방법으로는 이들간의 심리적 거리를 측정하여, 그 근접성의 정도에 따라 산업간 경쟁구조와 경쟁특성을 분석하였다. 분석도구는 그 동안 마케팅의 영역에서 특정 산업 내에의 상표간 경쟁구조를 연구하는데 이용되었던 심리적 거리측정도구를 이용하였다. 이에 따라 구매자의 사용목적에 따른 상표간 대체 가능성을 산업간의 심리적 근접성을 이용해 측정하고 그 거리의 크기에 따라 경쟁강도의 선택의 대체성을 분석하였다. 방법론적 측면에서는 먼저 엔터테인먼트산업, 문화예술과 공연예술산업, 그리고 스포츠 등의 소비동기 유형을 살펴본 후, 이들 중에서 중복가능성이 있는 동기유형을 선별하였다. 이에 따라 다양한 관람 엔터테인먼트산업에서 나타나고 있는 12개의 소비동기 유 형을 발견할 수 있었다. 이후 이렇게 추출된 동기유형을 대상으로 산업간 대체성을 심적 거리좌표를 이용하여 측정하고 측정된 자료를 다차원척도법(MDS)을 이용해 2차원의 공간 상에 투사하였다. 그리고 상호간의 근접성과 경쟁구조를 확인하고 분석결과에 대해 논의 하였다. 분석결과 엔터테인먼트 상품들간에는 근접성의 차원에서 서로 대체될 수 있음을 발견할 수 있었고 이는 이들이 동일한 시장을 대상으로 경쟁관계가 있음을 시사하는 것이다. 개별 관람동기 차원의 분석 결과, 관람 엔터테인먼트 소비자들은 동일한 관람동기를 서로 다른 많은 유형의 엔터테인먼트산업이나 공연예술, 문화예술상품, 쇼나 오락, 관람스포츠 등에 의해 해결하고 있음을 발견할 수 있었다. 본 연구에서 사용한 접근방법과 연구의 결과는 향후 간접적 관계에서 직접적 관계로 경쟁이 확대되는 많은 마케팅분야에 적용될 수 있을 것이다.

• Communications of Mathematical Education
• /
• v.37 no.3
• /
• pp.443-465
• /
• 2023

This study examines the content of vectors and matrices in Artificial Intelligence Mathematics textbooks (AIMTs) from the 2015 revised mathematics curriculum. We analyzed the implementation of foundational mathematical concepts, specifically definitions and related sub-concepts of vectors and matrices, in these textbooks, given their importance for understanding AI. The findings reveal significant variations in the presentation of vector-related concepts, definitions, sub-concepts, and levels of contextual information and descriptions such as vector size, distance between vectors, and mathematical interpretation. While there are few discrepancies in the presentation of fundamental matrix concepts, differences emerge in the subtypes of matrices used and the matrix operations applied in image data processing across textbooks. There is also variation in how textbooks emphasize the interconnectedness of mathematics for explaining vector-related concepts versus the textbooks place more emphasis on AI-related knowledge than on mathematical concepts and principles. The implications for future curriculum development and textbook design are discussed, providing insights into improving AI mathematics education.

• Korean Journal of Clinical Laboratory Science
• /
• v.56 no.1
• /
• pp.1-9
• /
• 2024

Exosomes are nano-sized membrane-bound extracellular vesicles containing various biological molecules, such as nucleic acids, proteins, and lipids, which can be used to modulate physiological processes. The exosomal molecules secreted by cells can be extensively used as tools for diagnosis and therapy. Exosomes carry specific molecules released by the cells they originate from, which can be transferred to surrounding cells or tissues by the exosome. For these reasons, exosomes can be exploited as biomarkers for diagnosis, carriers for drug delivery, as well as therapeutics. In stem cell technology, exosomes have been an attractive option because they can be used as safer therapeutic agents for stem cell-based cell-free therapy. Recently, studies have demonstrated the safety and efficacy of mesenchymal stem cell-derived exosomes in alleviating symptoms associated with coronavirus disease 2019 as they have anti-inflammatory and immunomodulatory potential. Performing multiple studies on exosomes would provide innovative next-generation options for clinical diagnostics and therapy. This review summarizes the use of exosomes focusing on their diverse roles. In addition, the potential of exosomes is illustrated with a focus on how exosomes can be exploited as powerful tools in the days to come.

• Journal of Internet of Things and Convergence
• /
• v.10 no.3
• /
• pp.25-33
• /
• 2024

In tomographic image reconstruction, the focus is on developing CT image reconstruction methods that can maintain high image quality while reducing patient radiation exposure. Typically, statistical image reconstruction methods have the ability to generate high-quality and accurate images while significantly reducing patient radiation exposure. However, in cases like CT image reconstruction, which involve multi-dimensional parameter estimation, the degree of the Hessian matrix of the penalty function is very large, making it impossible to calculate. To solve this problem, the author proposed the PEMG-1 algorithm. However, the PEMG-1 algorithm has issues with the convergence speed, which is typical of statistical image reconstruction methods, and increasing the penalty log-likelihood. In this study, we propose a reconstruction algorithm that ensures fast convergence speed and monotonic increase in likelihood. The basic structure of this algorithm involves sequentially updating groups of pixels instead of updating all parameters simultaneously with each iteration.

• Clean Technology
• /
• v.26 no.3
• /
• pp.196-203
• /
• 2020

In this study, a Cu/hexaaluminate catalyst was prepared by a co-precipitation method, and then a binder was added to form a pellet. A catalyst in which Ni and Ru promoters were added to a Cu/hexaaluminate pellet catalyst was prepared. This study focused on examining the effect of the addition of Ni and Ru promoters on the properties of Cu/hexaaluminate catalysts and the decomposition reaction of ADN-based liquid monopropellants. Cu/hexaaluminate catalysts had few micropores and well-developed mesopores. When Ru was added as a promoter to the Cu/hexaaluminate pellet catalyst, the pore volume and pore size increased significantly. In the thermal decomposition reaction of ADN-based liquid monopropellant, the decomposition onset temperature was 170.2 ℃. Meanwhile, the decomposition onset temperature was significantly reduced to 93.5 ℃ when the Cu/hexaaluminate pellet catalyst was employed. When 1% or 3% of Ru were added as a promoter, the decomposition onset temperatures of ADN-based liquid monopropellant were lowered to 91.0 ℃ and 83.3 ℃, respectively. This means that the Ru promoter is effective in lowering the decomposition onset temperature of the ADN-based liquid monopropellant because the Ru metal has excellent activity in the decomposition reaction of ADN-based liquid monopropellant, simultaneously contributing to the increase of the pore volume and pore size. After the thermal treatment at 1,200 ℃ and decomposition of ADN-based liquid monopropellant were repeatedly performed, it was confirmed that the addition of Ru could enhance the heat resistance of the Cu/hexaaluminate pellet catalyst.

• Journal of Wetlands Research
• /
• v.18 no.1
• /
• pp.100-112
• /
• 2016

In recent, the direction of water resources policy is changing from the typical plan for water use and flood control to the sustainable water resources management to improve the quality of life. This change makes the information related to water resources such as data collection, management, and supply is becoming an important concern for decision making of water resources policy. We had analyzed the structured data according to the purpose of providing information on water resources. However, the recent trend is big data and cloud computing which can create new values by linking unstructured data with structured data. Therefore, the trend for the management of water resources information is also changing. According to the paradigm change of information management, this study tried to suggest an application of big data and cloud computing in water resources field for efficient management and use of water. We examined the current state and direction of policy related to water resources information in Korea and an other country. Then we connected volume, velocity and variety which are the three basic components of big data with veracity and value which are additionally mentioned recently. And we discussed the rapid and flexible countermeasures about changes of consumer and increasing big data related to water resources via cloud computing. In the future, the management of water resources information should go to the direction which can enhance the value(Value) of water resources information by big data and cloud computing based on the amount of data(Volume), the speed of data processing(Velocity), the number of types of data(Variety). Also it should enhance the value(Value) of water resources information by the fusion of water and other areas and by the production of accurate information(Veracity) required for water management and prevention of disaster and for protection of life and property.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.15 no.2
• /
• pp.149-162
• /
• 2005

This paper suggest a way to detect a specific wanted figure in public places such as subway stations and banks by comparing color face images extracted from the real time CCTV with the face images of designated specific figures. Assuming that the characteristic of the surveillance camera allows the face information in screens to change arbitrarily and to contain information on numerous faces, the accurate detection of the face area was focused. To solve this problem, the normalization work using subsampling with $20{\times}20$ pixels on arbitrary face images, which is based on the Perceptron Neural Network model suggested by R. Rosenblatt, created the effect of recogning the whole face. The optimal linear filter and the histogram shaper technique were employed to minimize the outside interference such as lightings and light. The addition operation of the egg-shaped masks was added to the pre-treatment process to minimize unnecessary work. The images finished with the pre-treatment process were divided into three reception fields and the information on the specific location of eyes, nose, and mouths was determined through the neural network. Furthermore, the precision of results was improved by constructing the three single-set network system with different initial values in a row.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.24 no.6
• /
• pp.709-716
• /
• 2018

In 2017, there was an accident in which a cadet onboard training was killed. This cadet worked 12 hours a day. No regulation has yet been laid down to define hours and breaks for interns. Therefore, the purpose of this study is to investigate the working status of commissioned training, the satisfaction survey of commissioned training, and to improve the treatment of commissioned trainees. The survey was conducted on students commissioned from merchant vessels, and 461 respondents answered the questionnaire. The results of the survey are as follows. First, 43.0 % of cadets said that they worked 10 hours a day on average, regardless of the vessel type, and 35.2 % said that the average rest time was 8 hours. 15.6 % of respondents said they had worked more than 12 hours. Unreasonable order cases deviating from the purpose of education were "making ramen, working at rest time, instruction of dangerous work, making night snack and private errands." Second, the satisfaction level of cadets who practiced on LNG carriers was high, while the satisfaction level of cadets on bulk carriers and container carriers was low. It was confirmed that the ship's size, ship's age, working hours, rest time and training support costs had little minor effect on educational satisfaction. Lastly, 56.8 % of the cadets answered 'commissioned training is like work.' Based on the results of the questionnaires, we proposed the following improvement methods; providing legislation for working hours and rest time for commissioned training cadets, protection system against violence and sexual harassment and victim protection. This study focuses on the working and rest time of merchant ship's cadet and it is meaningful to investigated the onboard training satisfaction by ship's type, size and age.

• Journal of the Korean Geotechnical Society
• /
• v.21 no.9
• /
• pp.87-102
• /
• 2005

In the congested urban areas, tunnelling close to existing structures or services often occurs due to the lack of surface space so that tunnelling-induced ground movements may cause a serious damage to the adjacent structures. This study focused on the two dimensional laboratory model pile-soil-tunnelling interaction tests using a close range photogrammetric technique. Testing equipments and procedures were Introduced, particularly features of aluminium rods regarded as the frictional granular material. The experimental result showed that the photo imaging process by the VMS and EngVis programs proved to be a useful tool in measuring the pile tip movements during the tunnelling. Consequently, the normalised pile tip movement data for the influence zones can be generated by the laboratory model tests using the Photogrammetric technique. This study presents influence zones associated with the normalized pile tip settlements due to tunnelling in the cohesionless material. The influence zones were Identified by both a laboratory model test and a numerical analysis. The normalized pile tip movements from the model test were in good agreement with the numerical analysis result. The influence zones proposed in this study could be used to decide the reasonable location of tunnel construction in the planning stage. However, the scale of model pile and model tunnel sizes must be carefully adjusted as real ones for practical application considering the ground conditions at a given site.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.20 no.1
• /
• pp.81-87
• /
• 2010

The coverage ability is one of essential techniques for the Robotic Vacuum Cleaner (RVC). Most of the RVCs rely on random or regular pattern movement to cover a target space due to the technical difficulties to implement localization and map and constraints of hardwares such as controller and sensors. In this paper, we consider two main issues which are low computational load and using sensors with very limited sensing capabilities. First, in our approach, computing procedures to build map and detect the RVC's position are minimized by simplifying data obtained from sensors. To reduce computational load, it needs simply presenting an environment with objects of various shapes. Another isuue mentioned above is regarded as one of the most important problems in our approach, because we consider that many RVCs use low-cost sensor systems such as an infrared sensor or ultrasonic sensor with limited capabilities in limited range, detection uncertainty, measurement noise, etc. Methods presented in this paper are able to apply to general RVCs equipped with these sensors. By both simulation and real experiment, we evaluate our method and verify that the proposed method guarantees a complete coverage.