• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.299-303
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• 2011

Congestion is a growing concern of many global cities and the demands on Infrastructure services within a locale coupled by the rising expectations from the growing population places stress on these cities. This entails the ability to build a sustainable community that requires an understanding and recognition of Population growth, changing demographics and the ever changing urban development on both a macro and micro level. Infrastructure is an integral part of Australian economy, particularly the 'Infrastructure Assets Management' which highlights the importance towards the development of sustainable communities for Melbourne's future. Melbourne 2030 is a comprehensive representation of government's response to a wide-ranging population growth within Melbourne metropolitan and surrounding areas. Urban plan and specific Infrastructure Assets Planning needs not only to provide sufficient Infrastructure to a community, but it must also be efficient and innovative so that it produces an optimised management system. A system that incorporates engineering techniques that will be sustainable for decades to come by maintaining an acceptable level of services to its intended community in an effective manner, which also strengthens service delivery. The fundamental challenges for optimization of Infrastructure with the Melbourne urban plan is, the ability to manage and sustain maintenance of Infrastructure to provide the acceptable level of service required by the community in a most effective manner which also strengthens service delivery to contribute towards Melbourne 2030. This paper particularly investigates some of the fundamental issues within the Melbourne urban plan such as Infrastructure Asset Management, AusLink and the Australian Road Management Act 2004, which the Governments at all levels must deal with to provide an economically viable solution to the changing Infrastructure so it may suits the needs and services the strategies of a metropolis.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제4권3호
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• pp.115-126
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• 2023

Understanding the carrying capacity of a habitat is crucial for effectively managing populations of wild boars (Sus scrofa), which are designated as harmful wild animal species in national parks. Carrying capacity refers to the maximum population size supported by a park's environmental conditions. This study aimed to estimate the appropriate wild boar population size by integrating population characteristics and habitat suitability for wild boars in the Bukhansan National Park using the HexSim program. Population characteristics included age, survival, reproduction, and movement. Habitat suitability, which reflects prospecting and resource acquisition, was determined using the Maximum Entropy model. This study found that the optimal population size for wild boar ranged from 217 to 254 individuals. The population size varied depending on the amount of resources available within the home range, indicating fewer individuals in a larger home range. The estimated wild boar population size was 217 individuals for the minimum amount of resources (50% minimum convex polygon [MCP] home range), 225 individuals for the average amount of resources (95% MCP home range), and 254 individuals for the maximum amount of resources (100% MCP home range). The results of one-way analysis of variance revealed a significant difference in wild boar population size based on the amount of resources within the home range. These findings provide a basis for the development and implementation of effective management strategies for wild boar populations.

• Asian Pacific Journal of Cancer Prevention
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• 제15권7호
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• pp.2945-2950
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• 2014

Background: This study compared risk factors for depression and suicidal ideas among cancer patients for comparison with the general population, and identified influencing factors. Materials and Methods: We analyzed data from 2,472 cancer patients in the National Cancer Center and nine Regional Cancer Centers and frequency-matched data for age and sex from 2,349 members of the general population who completed the National Health and Nutrition Examination Survey in 2008. Logistic regression analysis was used to identify factors affecting depression and suicidal ideas. Results: Cancer patients were not likely to have more depression (OR=0.96, 95%CI=0.79-1.18) and were less likely to have suicidal ideas (OR=0.64, 95%CI=0.53-0.79) compared to the general population. Female sex, more stress, and lower quality of life were influencing factors. The additional risk factors for suicidal ideas among cancer patients included income (OR=0.62, 95%CI=0.43-0.91), smoking (OR=1.63, 95% CI=1.06-2.50), recurrence (OR=1.50, 95%CI=1.15-1.95), and chemotherapy (OR=1.66, 95%CI=1.26-2.19). Conclusions: No differences appeared in depression rates between cancer patients and the general population, and cancer patients were less likely to have suicidal ideas. However, cancer patients were likely to have more risk factors than the general population, and those classified as being at high risk of suicide should receive distress management and social economic support, from early in the treatment process.

• 응용통계연구
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• 제18권1호
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• pp.159-171
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• 2005

최근 미국을 위시한 선진국에서 제제간의 생물학적 동등성을 판단하는 기준이 생체 이용률의 평균치를 비교하는 시험에서 분산까지 같이 고려하는 기준으로 바뀌고 있다. 처방성과 교차사용성을 의미하는 모집단과 개인 생물학적 동등성이 바로 그것이다. US FDA에서는 2 × 4 교차설계법을 활용해서 제제간의 생동성을 입증하는 것을 추천하고 있다. 현재 US FDA에서 제안하고 있는 모집단 생물학적 동등성 평가 방법은 통계적으로 문제점을 가지고 있어 최근 Lee, Shao & Chow(2002), Chow, Shao & Wang(2003), 그리고 McNally, Iyer & Mathew(2002)에 의해서 수정된 평가 방법들이 제안되고 있다. 본 연구 논문에서는 그동안 제제간의 생물학적 동등성 평가 설계법이였던 2×2 교차설계법을 이용해서 모집단 생물학적 동등성을 평가하는 방법을 논의하고 최근 제안된 방법들을 모의실험을 통해 비교하여 가장 적절한 방법론을 제안한다.

• 한국의료질향상학회지
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• 제26권2호
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• pp.95-103
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• 2020

Purpose: This study was to examine whether a health care model that provides comprehensive medical services based on population groups to members of the medical cooperative is applicable as a policy alternative in terms of medical use and cost. Methods: Data were derived from National Health Insurance claim data in 2019. We compared the medical volume and expenses of patients who visited social cooperative-type medical clinics with other patients, control group who visited other clinics in a local area. Results: The average number of visit days was 25.3 days in social cooperative-type medical clinics, more than 24.2 days in the control group (p=.004). However, the average medical cost per visit was KRW 46 thousand in social cooperative-type medical clinics, which was significantly lower than KRW 51 thousand in the control group (p<.001), and the total medical cost was also KRW 16.1 billion in social cooperative-type medical clinics and KRW 16.9 billion in the control group. Conclusion: We identified that a population-based health care model might change patients' behaviors to health care services and decrease total medical cost. Further population based experiment is needed to develop alternative healthcare model.

• 품질경영학회지
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• 제25권3호
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• pp.74-85
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• 1997

In this paper we calculate the subgroup size necessary for detecting the change of percent defective with several detection probabilities for orginal population fraction nonconforming p, changed population fraction nonconforming $p^*$, and the ratio k=$p^*$/p in the usage of p control charts. From our calculation we can know the error level of normal a, pp.oximation in detection probability calculation and recommend the subgroup size with lower error levels of normal a, pp.oximation, and then we show the reasonable subgroup size necessary for p, $p^*$, k, and the detection probability of the change of fraction nonconforming in a process. The information that we here show in tables will be useful when p control chart users decide the subgroup size in the p control chart users decide the subgroup size in the p control chart.

• 한국시스템다이내믹스학회:학술대회논문집
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• 한국시스템다이내믹스학회 2003년도 하계학술대회발표논문집
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• pp.1-24
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• 2003

The purpose of this paper was developing a development density control model for urban growth management, using system dynamics modeling. The density control model was developed to see how urban growth, transition, and decay occur depending on the interaction among population, houses, industry structure, land and urban infrastructure such as road, water supply, and sewage treatment facilities. Suggesting adequate level of development density control using the model was another purpose of this paper. The model was applied to An'yang city to estimate the maximum number of population, industry structures, houses, and cars that can be adequately sustained with the current An'yang city's infrastructur capacity. The computer simulation results shows that the city is overpopulated by some 90,000 people. To reduce the population to the adequate level that the current urban infrastructure can sustain, the current city regulation on floor area ratio are needed to be strengthened at least 20 to 35%.

• 보건행정학회지
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• 제2권1호
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• pp.147-166
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• 1992

The purpose of this study is to analyze the effects of the health center hospital on the health service utilization pattern of the rural population in a county. Two field studies had been conducted in Yonchon County, Kyunggi Province, on February 1989 and on August 1991 before and after the establishment of the Yonchon health center hospital. This study revealed that Yonchon health center hospital occupied 7.3% of total outpatient visits and 16.8% of hospitalization of the county population and the self-sufficient rate of the outpatient visit and hospitalization of Yonchon County between two field studies increased by 1.7% and 20.9% each. Yonchon health center hospital contributed to the growth of the public health sector but it weakened the role of health sub-centers. For the efficient health service utilization of the population in that County, more investment to health center hospital would be needed and the primary health activities of the health subcenter should be enforced.

• 한국경영과학회지
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• 제34권4호
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• pp.113-121
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• 2009

In this paper, we consider the departure process from the open and nested tandem Queueing network with population constraint and constant service times. It is known that the Queueing network can be transformed into a simple Queueing network which can be easy to analyze. Using this simple Queueing network, upper and lower bounds on the interdeparture time are obtained. We prove that the variance of the interdeparture time is bounded within these two bounds. Validation against simulation data is shown that how it works the variance of the interdeparture time within two bounds. These bounds can be applied to obtain the better variance of the interdeparture time using a suitable method.

• 경영과학
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• 제29권2호
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• pp.21-34
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• 2012

This paper addresses a network design problem in a supply chain system that involves locating both plants and distribution centers, and determining the best strategy for distributing products from the suppliers to the plants, from the plants to the distribution centers and from the distribution centers to the customers. This paper suggests a cooperative coevolutionary algorithm (CCEA) approach to solve the model. First, the problem is decomposed into three subproblems for each of which the chromosome population is created correspondingly. Each chromosome in each population is represented as a permutation denoting the priority. Then an algorithm generating a solution from the combined set of chromosomes from each population is suggested. Also an algorithm evaluating the performance of a solution is suggested. An experimental study is carried out. The results show that our CCEA tends to generate better solutions than the previous CCEA as the problem size gets larger and that the permutation representation for chromosome used here is better than other representation.