• Journal of Information Processing Systems
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• 제16권6호
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• pp.1309-1323
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• 2020

Crowd evacuation simulation is an important research issue for designing reasonable building layouts and planning more effective evacuation routes. The social force model (SFM) is an important pedestrian movement model, and is widely used in crowd evacuation simulations. The model can effectively simulate crowd evacuation behaviors in a simple scene, but for a multi-obstacle scene, the model could result in some undesirable problems, such as pedestrian evacuation trajectory oscillation, pedestrian stagnation and poor evacuation routing. This paper analyzes the causes of these problems and proposes an improved SFM for complex multi-obstacle scenes. The new model adds navigation points and walking shortest route principles to the SFM. Based on the proposed model, a crowd evacuation simulation system is developed, and the crowd evacuation simulation was carried out in various scenes, including some with simple obstacles, as well as those with multi-obstacles. Experiments show that the pedestrians in the proposed model can effectively bypass obstacles and plan reasonable evacuation routes.

• Industrial Engineering and Management Systems
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• 제11권3호
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• pp.266-275
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• 2012

The rise of crowdsourcing and web 2.0 opens plenty of opportunities for companies who want to exploit external sources of ideas for internal innovation. Utilization of crowdsourcing for product design and development has been attracting the attention of both enterprises and researchers. Many cases of implementation of crowdsourcing for product design and development such as: Threadless, FIAT Mio, Lego online Factory, etc., have made crowdsourcing a promising alternative source of innovative power. Although crowdsourcing gained access due to improved Internet access and web 2.0, it is little understood how the crowd, with respect to participation, behaves for any crowdsourcing project. To investigate this, we conducted an experiment on a real crowd of engineering related individuals to figure out the crowd participation pattern for various product design and development phases of a new product development project. The experiment results give a quantitative view of the participation of the crowd (i.e., crowd participation pattern) in various phases of a product design and development process that utilizes crowdsourcing, provide a practical guidance for companies to harness the power of the crowd sensibly, and provide experimental data for further research in this field.

• 한국방재안전학회논문집
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• 제16권1호
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• pp.49-60
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• 2023

2022년 10월 29일 발생한 이태원 참사 이후 군중압박 사고로 인한 인명피해에 대한 관심이 높아졌으나 국내에서 군중압박과 관련된 학술적, 실제적 기반이 미약함이 지적되었다. 이에 본 연구에서는 군중압박과 관련된 용어와 개념을 조사하고 가능한 한글 용어 후보들을 제안하였으며, 국내외에서 발생한 대표적인 군중압박 사고 사례를 조사하여 정리하였다. 일부 대표적 사례를 기반으로 한 선진국의 접근법들을 조사하였고, 그 중 대표적으로 영상분석, 시뮬레이션 및 설문과 인터뷰 방법을 요약 도출하였다. 이를 통하여 군중압박 사고의 한글 용어 표준화와 개념 정립, 평가 및 접근 방법의 체계화가 이루어지기를 기대하고 있다.

• 한국강구조학회 논문집
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• 제24권1호
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• pp.1-11
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• 2012

군중하중을 받는 현행 바닥진동 설계절차의 한계를 극복하기 위해서는 개인별 운동의 시간차와 운동성분에 내재된 위상의 불확실성이 고려되어야 한다. 개인의 운동에 관한 연구는 통계적 자료를 토대로 많은 연구가 진행되고 있는 반면, 군중 행동패턴에 관한 연구는 그 복잡성으로 인해 연구가 미흡한 실정이다. 본 연구에서는 다양하고 복잡한 군중의 행동패턴을 개인 간의 위상을 반영한 하중모형을 제안한다. 모의실험을 통해 개인의 시간지연 값들을 난수로 발생시킨 후, 기준시간에 대한 시간 지연효과를 합산하였다. 본 연구에서 제안하는 위상의 합산으로 이루어진 계수는, 완전히 동기화된 군중의 경우에 대한 동기화 정도의 비를 나타낼 수 있다. 정의된 계수를 바탕으로 실제 일어날 수 있는 군중의 행동패턴을 분석하여 각각의 경우에 대한 계수 값을 제안하였다. 본 연구의 결과를 토대로 기존의 설계방식이 다룰 수 없었던 군중의 운동시 바닥구조의 응답을 합리적으로 반영할 수 있다.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.147-153
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• 2023

In recent times, an absence of effective crowd management has led to numerous stampede incidents in crowded places. A crucial component for enhancing on-site crowd management effectiveness is the utilization of crowd counting technology. Current approaches to analyzing congested scenes have evolved beyond simple crowd counting, which outputs the number of people in the targeted image to a density map. This development aligns with the demands of real-life applications, as the same number of people can exhibit vastly different crowd distributions. Therefore, solely counting the number of crowds is no longer sufficient. CSRNet stands out as one representative method within this advanced category of approaches. In this paper, we propose a crowd counting network which is adaptive to the change in the density of people in the scene, addressing the performance degradation issue observed in the existing CSRNet(Congested Scene Recognition Network) when there are changes in density. To overcome the weakness of the CSRNet, we introduce a system that takes input from the image's information and adjusts the output of CSRNet based on the features extracted from the image. This aims to improve the algorithm's adaptability to changes in density, supplementing the shortcomings identified in the original CSRNet.

• 한국중재학회지:중재연구
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• 제31권1호
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• pp.155-171
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• 2021

Recently, the e-business market has become a place of convergence where consumers and suppliers communicate with each other, and a new method of trading of funds has emerged in the process. Crowd-funding is one of the types of money transactions that have emerged in the online space, and its interest and trading volume have been growing rapidly recently. The platform in the online space using crowd-funding method operates in the form of online telecommunication sales, and it is in the form of producing and delivering products based on funds obtained from potential consumers by the operators involved in securing funds. However, if the participating business operators do not deliver the product or deliver the product other than the promoted product and avoid responsibility, the potential demander will not be compensated without mediation by the platform operating entity. In this study, despite the rapid growth in the market size of crowd-funding, consumers who participated in the funding are protected and able to resolve disputes in the event of a conflict amid growing complaints from potential consumers and side effects. The structure or method of crowd-funding is a new form of trading that has different features from conventional e-commerce. Therefore, the legal basis is not yet in place and the standards need to be laid out through various and sufficient discussions politically, legally, socially and culturally and economically. As the potential market and positive effects of crowd-funding around the world have been recognized, a role is required as an ecosystem for new financial transactions. And the potential market could be realized as a new industry if the right legal system and policy consultation were made.

• 한국정보과학회논문지:시스템및이론
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• 제34권3호
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• pp.124-131
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• 2007

군중 애니메이션을 위한 연구분야는 동작의 사실성 제공과 속도향상의 두 가지 측면으로 구분된다. 최근 엔터테인먼트 산업의 발달로 군중 애니메이션은 디지털 콘텐츠 제작의 필수요소로 자리 잡았으며, 애니메이션의 속도향상을 위한 노력이 계속되고 있다. 이러한 추세에 맞춰, 본 논문에서는 군중 애니메이션의 속도저하에 영향을 미치는 요인들을 실험을 통해 검증하고, 실험 분석을 토대로 전처리 시스템을 설계한다. 동작 전처리 모듈은 제시된 애니메이션 시스템의 핵심 모듈로서 관절의 개수를 동작의 상세도에 따라 다양한 레벨(level-of-detail)의 동작들로 재구성한다. 실제 애니메이션 과정에서는 카메라와 가상환경 내부에 존재하는 캐릭터의 관계를 토대로 적절한 레벨의 동작을 적용하여 전체 시스템의 속도를 향상시킨다. 동작전처리 방법(motion level-of-detail)은 동작분석과 동작단순화 과정으로 분류되는데, 비선형 최적화 방법의 하나인 SQP를 활용하여 다양한 상세도 레벨의 동작들을 계산한다. 본 논문에 제시한 전처리 방법은 동작편집 등 캐릭터 애니메이션의 다양한 분야에 유용하게 활용될 수 있다.

• International Journal of Internet, Broadcasting and Communication
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• 제12권4호
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• pp.102-108
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• 2020

One of the key features of a mobile crowd-sensing (MCS) system is task allocation, which aims to recruit workers efficiently to carry out the tasks. Due to various constraints of the tasks (such as specific sensor requirement and a probabilistic guarantee of task completion) and workers heterogeneity, the task allocation become challenging. This assignment problem becomes more intractable because of the deadline of the tasks and a lot of possible task completion order or moving path of workers since a worker may perform multiple tasks and need to physically visit the tasks venues to complete the tasks. Therefore, in this paper, a hybrid search algorithm for task allocation called HST is proposed to address the problem, which employ a traveling salesman problem heuristic to find the task completion order. HST is developed based on the tabu search algorithm and exploits the premature convergence avoiding concepts from the genetic algorithm and simulated annealing. The experimental results verify that our proposed scheme outperforms the existing methods while satisfying given constraints.

• 대한가정학회지
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• 제28권4호
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• pp.177-189
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• 1990

The purpose of this study were to measure the body cathexis and the characteristics of middle-aged women groups segmented by their fashion orientation. Self-administered questionaire method was used. Seven demographic variables, 9 self-images, body cathexis were included as independent variables. Fashion orientation developed by Gutman and Mills was used. Data was collected from 369 Middle-aged women in Chonbuk Province. Frequencies, Percentages, means, standard deviation were caculated. ANOVA, cluster analysis, and discriminant analysis were used for data analysis. The results were as follows: 1. The body cathexis of the subjects were lower than capital city and increased according to age. 2. The self-image of the subjects were down-to-earth, modern, conventional, playing it safe, confident, stable, reserved and blending out into a crowd. The subjects with the self-image of being more sophisticated, confident, creative, stood out in a crowd, or complicated life style had higher body cathexis. 3. When the subjects were divided into segmentations according to their fashion orientation by cluster analysis, the best suitable number of groups was seven. The characteristics of seven groups were: *Fashion negatives showed low levels of fashion leadership and fashion interest, and medium level of importance of being well-dressed, and high level of antifashion attitudes. *Fashion neutrals showed medium levels of fashion leadership, fashion interest, and importnace of being-well dressed, and low level of antifashion attitudes. *Fashion uninvolveds showed low levels of fashion leadership, fashion interest, and antifashion attitudes. *Fashion followers showed high levels of fashion interest and importance of being well dressed, but low levels of fashion leadership and antifashion attitudes. *Fashion independents showed a littel bit high levels of fashion leadership, fashion interest, and importance fo being well-dressed, but low level of antifashion attitudes. *Fashion rejectors showed low levels of fashion leadership, fashion interest, and importance of being well-dressed, but high level of antifashion attitudes. 4. The seven groups segemented by their fashion orientation showed significant differences according to the educational levels, employment status, and total monthly income. Fashion leaders and fashion independents had higher educational level and monthly income, and involved more women with jobs. 5. Fashion leaders had self-image of being most sophisticated modern, diffenrent, creative, sociable, stood out in a crowd, and complicated life style. Fashion rejectors had self-image of being most down-to-earth, traditional, conventional, stable, reserved, blend into a crowd, and simplified life style. 6. The most effective variables among body cathexis, demographic variabls and self-images in discirminating fashion oreintation group differences were different-conventional, creativestable, and employment status. The discriminating power of above variables were high in very low in discriminating fashion negatives, fashion neutrals, and fashion independents, and the total discriminating power of these variables was 32.25%.

• Journal of information and communication convergence engineering
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• 제10권1호
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• pp.40-44
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• 2012

Data mining, which is attracting public attention, is a process of drawing out knowledge from a large mass of data. The key technique in data mining is the ability to maximize the similarity in a group and minimize the similarity between groups. Since grouping in data mining deals with a large mass of data, it lessens the amount of time spent with the source data, and grouping techniques that shrink the quantity of the data form to which the algorithm is subjected are actively used. The current grouping algorithm is highly sensitive to static and reacts to local minima. The number of groups has to be stated depending on the initialization value. In this paper we propose a gene algorithm that automatically decides on the number of grouping algorithms. We will try to find the optimal group of the fittest function, and finally apply it to a data mining problem that deals with a large mass of data.