• Title/Summary/Keyword: Way Decision

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Selection of Accident Frequency Area through Accident Cost Analysis (비용분석을 통한 교통사고 누적지역 선정방안)

  • Lee, Jung-Beom
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.33-43
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    • 2022
  • The number of car crashes increases along with the increasing number of vehicles. Hence, diverse initiatives on traffic accidents have been implemented, targeting zero crash fatalities. According to the 3rd Traffic Safety Master Plan of 2016, the current standard selecting road accident black spots prioritizes locations with the high cumulative death toll. While this standard is suitable for roads that a city government manages to some extent, it is not suitable for roads less than 20 meters that a borough (Gu) handles. The roads under the supervision of a borough do not have enough death toll, and thus improvements on its road accident black spots are highly limited. In addition, discovering the causes of traffic accidents is not easy when the number of car accidents is obtained by considering only fatal accidents, which are relatively low in number. Therefore, including all traffic accidents might identify causes of accidents and result in better advancements. Therefore, this research follows rational decision-making and suggests new National Traffic Safety Master Plan standards. These new standards are obtained by comparing accident costs between the location of fatal crashes and road accident black spots. The analysis result shows that considering all types of accidents yields better results. For example, a Three-way Intersection in front of Zion Day Care Center, one of the selected spots under the current standard, has lower road crash costs than Sinchon Intersection, a selected spot under a new standard. Therefore, the study concludes that the standards to select road accident black spots need to include traffic accident severity and road crash costs.

A Study on Investment Determinants by Investment Size of Startup Accelerators (스타트업 액셀러레이터의 투자 규모별 투자결정요인에 대한 연구)

  • Heo, Joo-Yeun;Jeong, Seung-Hwa
    • Korean small business review
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    • v.43 no.1
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    • pp.187-219
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    • 2021
  • Startup accelerators, a new type of investment entity, have emerged as a way to solve the difficulties of early startups and existing investment methods with high risk. With the visible performances of these startup accelerators on the success of startups, medium and large accelerator companies have emerged, along with the increasing size of seed money they invest in. In addition, differences between small and medium&large accelerator companies are emerging. Therefore, startups need informations on what factors to prepare for attracting startup accelerators' investment. Accelerators also need determinant criteria to select startups as the amount of investment grows. However, the study on this subject is not currently being conducted. Therefore, we conducted the study through dividing the average amount of seed money into small and medium & large-sized investment groups and examined the differences in major investment determinants, investment purposes, and major accelerating programs. As the results of this study, small investment groups could be subdivided into 'consulting-oriented accelerators' and medium- and large-sized investment groups into 'investment-oriented accelerators'. In addition, major services and investment purposes and investment decision criteria vary depending on the size of the investment. I think these findings will be good standards for accelerator companies, startups in need of their help, and follow-up researchers.

Think about Having Children : A Study on Childbirth and Parenting (자녀 출산과 양육에 대한 고찰)

  • Lee, Jeung Gwan
    • Journal of Christian Education in Korea
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    • v.65
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    • pp.55-80
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    • 2021
  • This study attempted to find a Christian religious alternative to the seriousness of the problem of low birth rate which has become a national and social problem, and its alternative. Korea is a low birth rate country. The phenomenon of low birth rate and childbirth avoidance is a reality that not only are national problems but also Korean churches are experiencing serious problems, and will continue to affect them. It will affect the church in four major ways. First, is a sharp decline in the number of members. Second, is the decline of Sunday schools. Third, various family problems and generational conflicts will arise. And it brings problems such as a crisis of faith among members. Young people living today have an unconventional attitude toward marriage, childbirth, and parenting. But for Christians, childbirth is a way of living in that God blessed us to "be fruitful, multiply, and fill the earth." In other words, childbirth must be recognized as a blessing from God, not a human decision. Therefore, we must know how precious the fetus is in front of God and that it is a precious life. Thus, we should be interested in how to nurture the life God has given. To do so the church's role is education is to shape the value of life from a biblical perspective. Therefore the church needs to see how the Christian faith of young and married couples who are about to marry, give birth, and raise children, affects the childbirth and rearing of children. And it is necessary to study what the role of church and Christian education is to solve the problem of low birth rate and to suggest alternatives. For this study, we will first identify the factors of low birth rate. Then we will confirm childbirth and the blessing of God through the Bible. Finally, the role of the church in low birth rate and educational alternatives will be presented.

An Explorative Study of Big Companies' Expansion Strategies to Digital Businesses (대기업의 디지털 산업 확장 유형의 탐색적 연구)

  • Kim, Iljoo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.6
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    • pp.241-248
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    • 2021
  • Firms have many ways to expand their businesses including M&A. Big companies in online and offline businesses show different ways of expansion with different objectives to expand their digital businesses quickly. Expansions for technical reasons are to acquire technologies they do not have while those for business reasons are M&A for offline companies to have competence in markets by acquiring online companies. Other ways of expansions include spin-off and group participation after investments for startups. Various ways of expansions are chosen because they are optimal choices depending on situations the companies face, and they have different strengths and weaknesses. To analyze the strengths and weaknesses of those options for expansion at this stage would be academically valuable, and also practically meaningful in terms of providing insights for companies' decision making in choosing opitions for expansions. M&A of online companies to make multi-channels by offline companies have risks of failing to internalize online companies and have enough synergy effects. Also, spin-off is a relatively less risky way of expansion while the speed of expansion is slower than establishing external startups with some shares of equity and making them as affiliated companies. External startups are good for speed of expansion while there are risks of legal regulations and negative awareness by the public.

Predicting the amount of water shortage during dry seasons using deep neural network with data from RCP scenarios (RCP 시나리오와 다층신경망 모형을 활용한 가뭄시 물부족량 예측)

  • Jang, Ock Jae;Moon, Young Il
    • Journal of Korea Water Resources Association
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    • v.55 no.2
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    • pp.121-133
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    • 2022
  • The drought resulting from insufficient rainfall compared to the amount in an ordinary year can significantly impact a broad area at the same time. Another feature of this disaster is hard to recognize its onset and disappearance. Therefore, a reliable and fast way of predicting both the suffering area and the amount of water shortage from the upcoming drought is a key issue to develop a countermeasure of the disaster. However, the available drought scenarios are about 50 events that have been observed in the past. Due to the limited number of events, it is difficult to predict the water shortage in a case where the pattern of a natural disaster is different from the one in the past. To overcome the limitation, in this study, we applied the four RCP climate change scenarios to the water balance model and the annual amount of water shortage from 360 drought events was estimated. In the following chapter, the deep neural network model was trained with the SPEI values from the RCP scenarios and the amount of water shortage as the input and output, respectively. The trained model in each sub-basin enables us to easily and reliably predict the water shortage with the SPEI values in the past and the predicted meteorological conditions in the upcoming season. It can be helpful for decision-makers to respond to future droughts before their onset.

Analysis of Environmental Sustainability in South Korean Inland Windfarms (한국 육상풍력발전사업의 환경적 지속가능성 평가 연구 - 58개 환경영향평가서 사례에 대한 정량적 분석 -)

  • Jeong, Eunhae
    • Journal of Environmental Impact Assessment
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    • v.31 no.1
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    • pp.47-62
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    • 2022
  • Wind power has been rapidly growing over last decade in the world as well as in South Korea as a feasible renewable energy source. Providing sustainable energy to all while securing environmental sustainability requires evidence based policy making and innovative solutions. Through analysis of 58 cases of South Korean Environmental Impact Assessment (EIA) Report, this paper seeks to identify answers to the following two questions. What are the key characteristics for inland windfarm? Is there a way of measuring environmental sustainability to compare each location to reduce negative environmental impact? Variables related to environmental sustainability of each windfarm case were collected from EIA report and the factor analysis of environmental variables was conducted to calculate the weight for each variable to build environmental sustainability index (ESI) to provide as evidence-based tools for decision making on the location of inland windfarm. 58 cases were categorized as three types 1) Mountain type 2) Ranch Type and 3) Coastal Type depending on their height and degree of naturalness. For analytical research, first, it was successfully calculated environmental sustainability of each windfarm case ranging from 1.04 (#33, Ranch type) to -1.44 (#55, Mountain type). Second, the analysis results showed that ranch type is most environmentally sustainable (Average ESI = 0.4551), followed by coastal type (Ave ESI = 0.3712) and lastly mountain type (Average ESI = -0.3457). These findings are consistent with the previous researches on inland windfarms and provides substantive policy implication on the renewable energy policies.

A Study of the Elementary School Teachers' Perception about Problem Situations in Real-Life Context of Subtraction of Natural Numbers (자연수 뺄셈의 실생활 맥락 문제 상황에 대한 초등교사의 인식)

  • Do, Joowon
    • Education of Primary School Mathematics
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    • v.25 no.2
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    • pp.197-211
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    • 2022
  • In this study, we tried to find a way to improve the pedagogical decision-making practices related to the presentation order of 'large number' and 'small number' in problem situations of subtraction of the natural number. For this purpose, the elementary school teachers' perception about problem situations in real-life context of subtraction of natural numbers was investigated, and the collected data were analyzed qualitatively and quantitatively to identify teachers' pedagogical perceptions. As a result of this study, it was confirmed the need for consideration on how to set up a problem situations in real-life context of subtraction so that students can develop their ability to solve various types of problems. To this end, not only in a problem situation of subtraction where you have to think of 'large number' first and 'small number' later, but also about the introduction of problem situations in real-life context of subtraction in which you think about 'small number' first and 'large number' later, which often appears in real-life. You will need to recognize the need. And you should have a pedagogical view on this. The results of this study will be able to contribute to the preparation of pedagogical method that can expand the understanding of various problem situations where subtraction is applied from the lower grades of elementary school.

From TMJ to 3D Digital Smile Design with Virtual Patient Dataset for diagnosis and treatment planning (가상환자 데이터세트를 기반으로 악관절과 심미를 고려한 진단 및 치료계획 수립)

  • Lee, Soo Young;Kang, Dong Huy;Lee, Doyun;Kim, Heechul
    • Journal of the Korean Academy of Esthetic Dentistry
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    • v.30 no.2
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    • pp.71-90
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    • 2021
  • The virtual patient dataset is a collection of diagnostic data from various sources acquired from a single patient into a coordinate system of three-dimensional visualization. Virtual patient dataset makes it possible to establish a treatment plan, simulate various treatment procedures, and create a treatment planning delivery device. Clinicians can design and simulate a patient's smile on the virtual patient dataset and select the optimal result from the diagnostic process. The selected treatment plan can be delivered identically to the patient using manufacturing techniques such as 3D printing, milling, and injection molding. The delivery of this treatment plan can be linked to the final prosthesis through mockup confirmation through provisional restoration fabrication and delivery in the patient's mouth. In this way, if the diagnostic data superimposition and processing accuracy during the manufacturing process are guaranteed, 3D digital smile design simulated in 3D visualization can be accurately delivered to the real patient. As a clinical application method of the virtual patient dataset, we suggest a decision-making method that can exclude occlusal adjustment treatment from the treatment plan through the digital occlusal pressure analysis. A comparative analysis of whole-body scans before and after temporomandibular joint treatment was suggested for adolescent idiopathic scoliosis patients with temporomandibular joint disease. Occlusal plane and smile aesthetic analysis based on the virtual patient dataset was presented when treating patients with complete dentures.

Multi-source information integration framework using self-supervised learning-based language model (자기 지도 학습 기반의 언어 모델을 활용한 다출처 정보 통합 프레임워크)

  • Kim, Hanmin;Lee, Jeongbin;Park, Gyudong;Sohn, Mye
    • Journal of Internet Computing and Services
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    • v.22 no.6
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    • pp.141-150
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    • 2021
  • Based on Artificial Intelligence technology, AI-enabled warfare is expected to become the main issue in the future warfare. Natural language processing technology is a core technology of AI technology, and it can significantly contribute to reducing the information burden of underrstanidng reports, information objects and intelligences written in natural language by commanders and staff. In this paper, we propose a Language model-based Multi-source Information Integration (LAMII) framework to reduce the information overload of commanders and support rapid decision-making. The proposed LAMII framework consists of the key steps of representation learning based on language models in self-supervsied way and document integration using autoencoders. In the first step, representation learning that can identify the similar relationship between two heterogeneous sentences is performed using the self-supervised learning technique. In the second step, using the learned model, documents that implies similar contents or topics from multiple sources are found and integrated. At this time, the autoencoder is used to measure the information redundancy of the sentences in order to remove the duplicate sentences. In order to prove the superiority of this paper, we conducted comparison experiments using the language models and the benchmark sets used to evaluate their performance. As a result of the experiment, it was demonstrated that the proposed LAMII framework can effectively predict the similar relationship between heterogeneous sentence compared to other language models.

Current Trends in the Treatment of Ankle Ligament Injuries: Analysis of the Korean Foot and Ankle Society (KFAS) Member Survey (족관절 인대 손상 치료 동향: 대한족부족관절학회 회원 설문조사 분석)

  • Cho, Byung-Ki;Cho, Jaeho;Lee, Myoungjin;Lee, Jun Young;Bae, Su-Young;The Academic Committee of Korean Foot and Ankle Society,
    • Journal of Korean Foot and Ankle Society
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    • v.26 no.1
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    • pp.22-29
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    • 2022
  • Purpose: Despite continuous updates of standard treatment guidelines for acute ankle sprain and chronic ankle instability (CAI), in practice preferred treatment protocols vary widely. Based on a Korean Foot and Ankle Society (KFAS) member survey, this study reports current trends in the management of ankle ligament injuries. Materials and Methods: A web-based questionnaire containing 34 questions was sent to all KFAS members in September 2021. Questions mainly addressed clinical experience and preferences for the diagnosis and treatment of ankle ligament injuries. Answers with a prevalence of ≥50% among respondents were considered to reflect tendencies. Results: Eighty-four of the 550 members (15.3%) responded. Answers that showed a tendency were as follows: commonest additional image study (ultrasound), conservative treatment modality (immobilization, oral medication), frequency of surgical treatment (<5 cases per annum), most important factor when deciding on surgical treatment (activity level, e.g., occupation or sport), and commonest surgical procedure (open ligament repair). Answers that showed a tendency for CAI were as follows: most important symptom (repeated sprain, giving way), radiological factors (talar tilt, osteochondral lesion, anterior talar translation), and patient factors (occupation, sports activities, recurrent instability after surgery, etc.). For decision making regarding surgical treatment and method, the most preferred surgical procedure was the modified Broström procedure, and the most common repair technique was suture anchor technique. The following were considered poor prognostic factors; generalized laxity, failed previous surgery, cavovarus, severe mechanical instability, heavy work, obesity, and dissatisfaction after surgery because of residual pain. Conclusion: This study updates information regarding current trends in the management of ankle ligament injuries in Korea, and reveals consensus opinions and variations in approaches to patients with an acute or chronic injury. The divergence of approaches identified indicates the need for further studies to determine standard guidelines and long-term results.