• 보건교육건강증진학회지
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• 제20권4호
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• pp.111-127
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• 2003

The government of Korea enacted the National Health Promotion Act in 1995, and set aside funds for national health promotion, endeavoring to reduce the smoking rate of its citizens. Consequently, smoking rates in all age groups of both sexes were lowered during the period of 1999-2003 when legal backing and financial support for no-smoking policies from the national health promotion funds were provided. The decrease in the smoking rate is attributed to the combined effort of the fact that enactment of related acts, their implementation, financial support, and education and publicity 'campaigns on no smoking. However, at the current pace of decreasing the smoking rates, it will be difficult to achieve the Health and Welfare Ministry's smoking rate goal of30％ among adult males by 2013. Thus, related acts should be reshaped, corresponding support should be increased, and financial support should also be provided to implement comprehensive no-smoking policies. Also, budgets should also be alloted to establish a system of providing feedback on the monitoring and evaluation of both short-term and long-term no-smoking business planning and implementation.

• Journal of Biosystems Engineering
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• 제20권1호
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• pp.87-94
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• 1995

When farmer loads and unloads farm products with a trailer, linked to a tractor, the tractor-trailer is backed up to the loading duck. However, travelling backward is not easy and takes a time for even skilled operators. Therefore, unmanned backing up is necessary to save the effort. A backward controller of tractor-trailer was simulated using fuzzy logic and genetic algorithms. Operators drive the tractor-trailer back and forth several times for backing up to the loading duck. As the operators did it, a backward controller was designed using fuzzy logic. And genetic algorithms was applied to improve the performance of the backward controller. With the strings coded with the fuzzy membership functions, genetic operations were carried out. After 30 generations, the best fitted fuzzy membership functions were found. Those membership functions were used in the fuzzy backward controller. The fuzzy controller combined with genetic algorithms showed the better results than the fuzzy controller did alone.

• 한국연초학회지
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• 제6권1호
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• pp.79-82
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• 1984

This study was carried out to investigate the effect of porous plug wrapping and perforated tipping paper on tip ventilation rate of cigarettes. The wider perforated width of tipping paper was and the more rows Perforation were given, the more increased the effort on the tip ventilation rate, and the high porous plug wrap also had a influence on the tip ventilation rate. Tip ventilation rate purposed would be obtained by adjusting the permeability of tipping papers with high porous plug wrap. To keep the cigarette quality uniform, the high porous plug wrapping paper and the tipping paper of small pore and many rows of perforation must be combined.

• 대순사상과 동아시아종교
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• 제1권1호
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• pp.81-102
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• 2021

This study attempts to investigate the role of children in the Korean new religious movement, Daesoon Jinrihoe. The research method combined archival studies with qualitative research; interviews with two members involved in educating youth through the establishment of Youth Camps and Donggeurami, the order's youth magazine. Our four research questions were: 1. Do children play a central role in the millennial vision of this NRM? 2. Are children separated from the world? 3. Have Daesoon childrearing methods been challenged by secular authorities or anticult groups? 4. Are there procedures to educate children in the religious beliefs and values of their parents and the community? Our results found that Daesoon Jinrihoe appears to be a religion designed for adults. Children do not usually participate in religious activities. On the other hand, since 2005 there has been a strategic effort to educate the children in the faith of their parents, through the establishment of Youth Camps and the youth magazine, Donggeurami.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.627-630
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• 2022

Over the past few years, fake news has become one of the most significant problems. Since it is impossible to prevent people from spreading misinformation, people should analyze the news themselves. However, this process takes some time and effort, so the routine part of this analysis should be automated. There are many different approaches to this problem, but they only analyze the text and messages, ignoring the images. The fake news problem should be solved using a complex analysis tool to reach better performance. In this paper, we propose the approach of training an Artificial Intelligence using an unsupervised learning algorithm, combined with online data parsing tools, providing independence from subjective data set. Therefore it will be more difficult to spread fake news since people could quickly check if the news or article is trustworthy.

• 문화기술의 융합
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• 제9권1호
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• pp.69-74
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• 2023

패턴을 활용한 디자인의 방법들은 다양한 디자인 분야에서 활용이 되고 있다. 효용성이나 결과 또한 많은 발전을 하여 디자인에 있어서는 패턴이 없어서는 안 될 중요한 부분을 차지하고 있다. 장신구 디자인에 패턴은 자주 활용되고 다양한 기법으로 사용한다. 그러나, 장신구 디자인에는 공예적인 제작기법의 특성상 시간적인 제약과 집중력의 과다 등으로 패턴을 이용하고 그 패턴을 반복하고 배열하는 방식 활용에 많은 제약이 따른다. 그러므로, 본 연구에서는 장신구를 디자인에 있어서 전통적인 공예방식을 같이 겸비하며, 패턴의 응용과 반복, 그리고 패턴의 배열을 컴퓨터 프로그램으로 디자인하여 장신구 제작에 활용하고자 한다.

• Structural Engineering and Mechanics
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• 제91권3호
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• pp.325-334
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• 2024

This paper deals with the dynamic buckling behavior of truncated conical shells composed of carbon nanotube composites, an important area of study in view of their very wide engineering applications in aerospace industries. In this regard, the effective material properties of the nanocomposite have been computed using the Mori-Tanaka model, which has already been established for such analyses. The motion equations ruling the structure's behavior are derived using first order shear deformation theory, Hamilton's principle, and energy method. This will provide adequate background information on its dynamic response. In an effort to probe the dynamic instability region of the structure, differential quadrature method combined with Bolotin's method will be adopted to tackle the resulting motion equations, which enables efficient and accurate analysis. This work considers the effect of various parameters in the geometrical parameters and the volume fraction of CNTs on the structure's DIR. Specifically, it became clear that increasing the volume fraction of CNTs shifted the frequency range of the DIR to higher values, indicating the significant role of nanocomposite composition regarding structure stability.

• 한국수자원학회논문집
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• 제39권6호
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• pp.533-544
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• 2006

합류식 관거 내 고형물의 퇴적으로 인해 통수능이 감소하여 여름철 장마시 국지적인 침수가 발생하며 이로 인해 관거 내 퇴적을 더욱 초래할 수가 있다. 이와 같은 문제를 해결하고 관거의 적절한 유지관리를 위해서는 배수유역에서의 하수 및 지표면으로부터의 고형물 부하량을 산정할 필요가 있으나 많은 비용과 노력이 수반되어야 한다. 따라서 본 연구에서는 미국환경보호청에서 제시한 건조기의 합류관거 내 고형물 퇴적 부하량 산정기법과 지표면에서의 고형물 부하량 산정기법을 우리나라 군자배수유역에 적용하여 분석하였다. 분석결과 하수로부터의 고형물 부하량은 205,759ka/yr이고 지표면으로부터의 고형물 부하량은 1,321,993kg/yr로 총 1,527,752kg/yr로 나타났다. 또한 수거량은 1,486,636kg/yr로 나타나 적절한 산정결과를 보여주었다. 배수유역에서 관거 및 지표면에서의 장기적인 관측이 이루어지고 이에 따라 국내설정에 맞도록 산정공식의 수정이 이루어지면 더욱 신뢰성 있는 산정을 할 수가 있으며 이를 통해 실무에서 많은 비용과 노력을 줄이고 합류식 관거 유지관리를 할 수가 있겠다.

• 한국통신학회논문지
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• 제28권4B호
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• pp.298-305
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• 2003

본 논문에서는 ATM 기반 레이블 에지 라우터의 IP 패킷 포워딩 엔진을 위한 고성능 룩업 제어기를 제안하였다. 제안한 룩업 제어기는 IP 패킷에 대한 Best Effort 서비스 뿐만 아니라 MPLS(Multiprotocol Label Switching), VPN(Virtual Private Network), ELL(Emulated Leased Line), RT(Real Time) 서비스 등의 차별화된 서비스들을 제공할 수 있도록 설계하였다. 고속의 IP 주소 검색을 위하여 소프트웨어 기반의 알고리즘 방식을 사용하지 않고 TCAM(Ternary Content Addressable Memory) 기반의 하드웨어 방식을 적용하였으며, IP 패킷 헤더 처리 및 룩업 제어 기능을 고속으로 수행하기 위하여 룩업 제어 기능을 FPGA(Field Programmable Gate Array)로 구현하였다. 룩업 제어기는 사용자의 차별화된 다양한 요구를 수용할 수 있으며, 성능 향상을 위하여 파이프라인 기법으로 처리되도록 설계하였다. 또한 패킷 헤더의 여러 영역을 조합한 비교키에 대한 룩업 기능을 수행하기 위하여 2단계 검색 메카니즘을 가지며, 시뮬레이션을 통하여 제안한 룩업 제어기는 약 16Mpps의 성능을 보였다.

• Structural Monitoring and Maintenance
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• 제2권1호
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• pp.77-93
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• 2015

The idea of using measured dynamic characteristics for damage detection is attractive because it allows for a global evaluation of the structural health and condition. However, vibration-based damage detection for complex structures such as long-span cable-supported bridges still remains a challenge. As a suspension or cable-stayed bridge involves in general thousands of structural components, the conventional damage detection methods based on model updating and/or parameter identification might result in ill-conditioning and non-uniqueness in the solution of inverse problems. Alternatively, methods that utilize, to the utmost extent, information from forward problems and avoid direct solution to inverse problems would be more suitable for vibration-based damage detection of long-span cable-supported bridges. The auto-associative neural network (ANN) technique and the probabilistic neural network (PNN) technique, that both eschew inverse problems, have been proposed for identifying and locating damage in suspension and cable-stayed bridges. Without the help of a structural model, ANNs with appropriate configuration can be trained using only the measured modal frequencies from healthy structure under varying environmental conditions, and a new set of modal frequency data acquired from an unknown state of the structure is then fed into the trained ANNs for damage presence identification. With the help of a structural model, PNNs can be configured using the relative changes of modal frequencies before and after damage by assuming damage at different locations, and then the measured modal frequencies from the structure can be presented to locate the damage. However, such formulated ANNs and PNNs may still be incompetent to identify damage occurring at the deck members of a cable-supported bridge because of very low modal sensitivity to the damage. The present study endeavors to enhance the damage identification capability of ANNs and PNNs when being applied for identification of damage incurred at deck members. Effort is first made to construct combined modal parameters which are synthesized from measured modal frequencies and modal shape components to train ANNs for damage alarming. With the purpose of improving identification accuracy, effort is then made to configure PNNs for damage localization by adapting the smoothing parameter in the Bayesian classifier to different values for different pattern classes. The performance of the ANNs with their input being modal frequencies and the combined modal parameters respectively and the PNNs with constant and adaptive smoothing parameters respectively is evaluated through simulation studies of identifying damage inflicted on different deck members of the double-deck suspension Tsing Ma Bridge.