• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.26-34
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• 2024

Most human emotions are conveyed through facial expressions, which represent the predominant source of emotional data. This research investigates the impact of crowds on human emotions by analysing facial expressions. It examines how crowd behaviour, face recognition technology, and deep learning algorithms contribute to understanding the emotional change according to different level of crowd. The study identifies common emotions expressed during congestion, differences between crowded and less crowded areas, changes in facial expressions over time. The findings can inform urban planning and crowd event management by providing insights for developing coping mechanisms for affected individuals. However, limitations and challenges in using reliable facial expression analysis are also discussed, including age and context-related differences.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.539-540
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• 2021

In this paper, we consider the management scheme of the crowd group in the sensor networks. In the case of the networks searching the critical area, the operation of crowd group can affect the mission implement. The mobile sink system leading the group networks can change the network configuration as the dangerous data gathered from group sensor nodes. The dynamic network management provides the important role to the mission of mobile sink to react the dangerous environments.

• Journal of the Korean Society of Safety
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• v.38 no.2
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• pp.87-95
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• 2023

On October 29, 2022, a very large number of people gathered in Itaewondong, Yongsan-gu, Seoul, Korea for a Halloween festival, and as crowds pushed through narrow alleys, 159 deaths and 195 injuries occurred, making it the largest crushing incident in Korea. There have been a number of stampede deaths where crowds gathered at large-scale festivals, event venues, and stadiums, both at home and abroad. When the density increases, the physical contact between bodies becomes very strong, and crowd turbulence occurs when the force of the crowd is suddenly added from one body to another; thus, the force is amplified and causes the crowd to behave like a mass of fluid. When crowd turbulence occurs, people cannot control themselves and are pushed into he crowd. To prevent a stampede accident, investigation and management of areas expected to be crowded and congested must be systematically conducted, and related ministries and local governments are planning to establish a crowd management system to prepare safety management measures to prevent accidents involving multiple crowds. In this study, based on national data, a continuous digital topographic map is modeled in 3D to analyze the risk of crowding and present a plan for selecting high-risk walking routes. Areas with a high risk of crowding are selected in advance based on various data (numerical data, floating population, and regional data) in a realistic and feasible way, and the analysis is based on the visible results from 3D modeling of the risk area. The study demonstrates that it is possible to prepare measures to prevent cluster accidents that can reflect the characteristics of the region.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.325-334
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• 2015

Nowadays, crowdsourcing has become a popular concept and is widely used in many social, economical and technological areas. For consumer product design, crowdsourcing is implemented extensively with many cases. Although there has been a lot of research on the application of crowdsourcing for product design, the big picture of how factors influence the participartion of individuals from the crowd in a crowdsourcing project for product design has not yet been understood. This paper aims to investigate the relationships of crowd participation and influencing factors including: process, product, and reward. To do this, we conducted a survey on a crowd of engineering individuals and analyzed the collected data with data mining techniques. Main findings include the relationships of crowd participation versus process, product, and reward factors as well as regression models to predict crowd participation.

• International journal of advanced smart convergence
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• v.12 no.4
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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.

• Journal of the Korean Society of Safety
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• v.38 no.2
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• pp.96-103
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• 2023

Generally, human stampedes and crowd collapses occur when people press against each other, causing falls that may result in death or injury. Particularly, crowd accidents have become increasingly common since the 1990s, with an average of 380 deaths annually. For instance, in Korea, a stampede occurred during the Itaewon Halloween festival on October 29, 2022, when several people crowded onto a narrow, downhill road, which was 45 meters long and between 3.2 and 4 meters wide. Precisely, this stampede was primarily due to the excessive number of people relative to the road size. Essentially, stampedes can occur anywhere and at any time, not just at events, but also in other places where large crowds gather. More specifically, the likelihood of accidents increases when the crowd density exceeds a turbulence threshold of 5-6 /m². Meanwhile, festivals and events, which have become more frequent and are promoted through social media, garner people from near and far to a specific location. Besides, as cities grow, the number of people gathering in one place increases. While stampedes are rare, their impact is significant, and the uncertainty associated with them is high. Currently, there is no scientific system to analyze the risk of stampedes due to crowd concentration. Consequently, to prevent such accidents, it is essential to prepare for crowd disasters that reflect social changes and regional characteristics. Hence, this study proposes using digital topographic maps and crowd-density risk simulations to develop a 3D model of the region. Specifically, the crowd density simulation allows for an analysis of the density of people walking along specific paths, which enables the prediction of danger areas and the risk of crowding. By using the simulation method in this study, it is anticipated that safety measures can be rationally established for specific situations, such as local festivals, and preparations may be made for crowd accidents in downtown areas.

• Industrial Engineering and Management Systems
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• v.11 no.3
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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.

• Journal of Korean Society of Disaster and Security
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• v.16 no.1
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• pp.49-60
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• 2023

After the 10.29 Itaewon disaster, interests in the crowd crush injury increased, but it is pointed out that the academic and practical basis related to crowd crush is still weak in Korea. Therefore, in this study, terms and concepts related to crowd crush were investigated and proposed, and representative cases of crowd crush events were investigated and summarized. Approaches based on representative cases were investigated, and among them, video analysis, simulation, questionnaire survey and interview methods were derived as an essential approach methods. Through this research, it is expected that standardization of Korean terminology, concept establishment, evaluation, and systematization of approach methods of crowd crush can be accomplished.

• Asia pacific journal of information systems
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• v.26 no.1
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• pp.109-123
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• 2016

The success of a crowd-funding project can be attributed to various reasons, among which, backer's (also known as 'investor', or 'funder') perception of project credibility may be a salient one. The purpose of this study is to investigate the extent to which perceived project credibility can affect a backer's investment decision. We examine the factors that could influence the building of perceived project credibility by testing the proposed research model using survey data. Analysis results indicate that perceived project credibility has a significantly positive effect on backer's investment intention. Furthermore, information quality and source credibility are two key determinants of perceived project credibility. This study contributes to crowd-funding literature by enriching the list of successful factors for fund-raising with project credibility. The study also has practical implications because it explains why and how a backer's perception of project credibility can be improved.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.537-538
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• 2021

In this paper, we consider the agent management scheme for the data gathering in the crowd group. To the critical data gathered in dangerous region, the possibility of mission failure caused by the sensor node damage can be high. Hence, we study the node processing to the danger agent node through the cooperative network method for the sensor nodes.