• Journal of Digital Contents Society
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• v.8 no.3
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• pp.263-267
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• 2007

From our analysis of pedestrian walking behavior at the Daegeon underground shopping center, we think that the following changes might be necessary to improve sign placement and use. First, the discrepancy between the location of information signs and their rate of use should be reduced. Second, differences in information given by the signs that arise from problems with sign height and placement should be reduced. Third, signs should be distributed in such a way that they provide co-ordinated information about points and places. Fourth, the arrangement and placement of the signs should be considered from the view point of pedestrian walking behavior. Because there is difference in the number of installed signs and the rate of use of these signs, to increase the rate of information use it may be necessary to adjust the content and placement of the signs. Furthermore, analysis of subject walking paths shows that it is necessary for information to be offered about connections between spaces.

• KIISE Transactions on Computing Practices
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• v.23 no.3
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• pp.148-155
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• 2017

In this paper, we develop a new system to estimate the step count for a smartphone user. The system analyzes data obtained from the accelerometer, magnetic sensor, and gyroscope of an android smartphone to extract pattern information of human steps. We conduct an experiment and evaluation to confirm that the proposed system successfully estimates the number of steps with 96% accuracy when hand-held and 95.5% accuracy when in-pocket. In addition, we found that detection errors were caused by human motions such as touching the screen, shaking the device up and down, sitting up and sitting down, and waving the phone around.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.2
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• pp.246-250
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• 2006

The objective of this research was to investigate the way information is used by pedestrians in underground space. Furthermore, we wanted to know how pedestrians utilize information from signage of signs by pedestrians. Thus, we conducted an investigation on the pedestrians' walking behavior in Fukuoka City, Tenjin underground shopping centers, and 1) checked routes taken by the subjects; and 2) categorized the signs that were observed, the pedestrians' movement patterns, the way information from signage isused by the pedestrians, the signs' locations, the relationship between the spaces, the heights of the signs and the types of signs offering directions. The results showed that there is a need to solve certain problems related to the locations of the signs and the walking behaviors of the subjects. To solve the problems exhibited by the subjects' walking behaviors, we came up with a variety of guidance information that could be used. The contents of the guidance information differ depending on the specified heights for the placement of signs and the information used depending on the location. The results also showed that the continuity between places needs to be shown more effectively by the guidance system, and that too many signs are positioned in places where the frequency of use is low.

• Annual Conference of KIPS
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• 2014.04a
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• pp.802-805
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• 2014

본 연구에서는 스마트 디바이스를 이용하여 보행자의 상태를 감지하여 필요한 사용자의 정보에 대해 얻는 방법을 제안하고, 이를 분석하는 모델을 연구하여 예방 방안을 제공하는 서비스를 제안하였다. 분석 모델을 Sensing, Thinking, Action의 세 단계로 나누어 분류한 세부적인 수행 순서를 정하였다. Sensing 단계에서 센서, 디바이스, 어플리케이션 등을 통해 사용자에 대한 있는 그대로의 정보를 받아들여 디바이스가 인식하게 하고, 이를 분석해 사용자의 상태 및 상황에 대해 Thinking하고, 그에 맞는 Action을 취한다. 본 논문에서는 분석 모델의 정해진 수행 순서에서의 기능들을 설명하고, 그에 맞는 예상 구현 시나리오를 제시하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.289-292
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• 2022

본 논문에서는 실제 철도 건널목(교차로)에서 발생하는 소음 및 진동, 차량 및 보행자 사고와 같은 위험 요소로부터 발생하는 위험 상황들을 분류하고, 철도 건널목(교차로) 운행 상황을 구현한 모형 철도 주변에 센서를 부착하여 철도 건널목에서 발생하는 위험 요소들을 아두이노 센서로 감지해 데이터를 수집한다. 또한 수집된 데이터들을 활용하여 사용자의 상황에 맞는 철도데이터 운영시스템을 제안한다.

• Journal of Korean Society of Transportation
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• v.29 no.4
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• pp.43-51
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• 2011

Since a variety of factors are associated with crash occurrence, the analysis of causes of crash is a hard task for traffic researchers and engineers. Among contributing factors leading to crash, the characteristics of driver is of keen interest. This study attempted to identify factors affecting the severity of pedestrian in the collision between pedestrian and vehicle. In particular, our analyses were focused on the novice driver. A binary logistic regression technique was adopted for the analyses. The results showed that driver's age, crash location, and the frequency of violations were dominant factors for the severity. Findings are expected to be useful information for deffective policy- and education-based countermeasures.

• Archives of design research
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• v.20 no.3 s.71
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• pp.203-214
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• 2007

This study proposes an information retrieval method reflecting the user's preferences based on the fuzzy set theory to develop information contents which support pedestrian's navigation. Firstly, the research evaluated subjects' preferences on commercial spaces set to a hypothetical destination. Also it surveyed the causal relationship between the visual characteristics and the emotional characteristics to propose methods of Navigation Knowledge Base (NKB). The NKB was composed of three elements; 1. the correlation model between emotional characteristics, 2. the causal relationship between visual characteristics and emotional characteristics, 3. the transformation model between visual characteristics and the physical characteristics. Secondly, this study classified the pedestrian's destination search into 4 types with his or her preferences and the time conditions limited during navigation. For each type it presented the Destination Search Algorithm (DSA). Finally, the research simulated the destination search in 4 navigation types using NKB and DSA and verified the availability of the information retrieval method reflecting pedestrian's preferences. In conclusion, the proposed information search method will be applied to reflect the user's preferences to develop information appliances.

• Journal of Korean Society of Transportation
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• v.32 no.6
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• pp.615-627
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• 2014

In this study, nonhierarchical K-mean cluster analysis is used to classify the types of 230 local governments and the Mann-Whitney U test and Kruskal-Wallis analysis are used to analyze the characteristics of pedestrian accidents by region types. With empirical analysis of pedestrian accidents, this study suggests improvements of walking environments reflecting local characteristics. Type 1-A (relatively dominant urban commercial areas), Type 1-B (predominantly urban residence) and Type 2 (rural areas) have been classified using nonhierarchical K-mean cluster analysis. According to the results, pedestrian accident rate on community roads was more than 60% for all types and incidence rate in rural areas was higher than that in urban areas. In addition, pedestrian accidents of Type 1-B have been found to occur more frequently than Type 2 in intersections and crossings, while the number of roadside casualties for Type 2 was highest.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.12A
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• pp.1843-1851
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• 2000

ITU-R 권고안을 토대로 미래 IMT-2000 무선망에서의 소요 서비스 채널수 및 지상계 주파수 요구량을 분석한다. IMT-2000 가입자가 요구하는 서비스를 크게 회선과 패킷교환 서비스로 분류하고 옥내, 보행자 및 차량용의 가입자 이용 환경을 고려한다. 본 논문에서는 2010년경 각종 IMT-2000 서비스에 대한 시장성과 무선 전송 기술의 파라미터 값을 이용하여 가입자의 기준 트래픽과 셀내 발생 트래픽을 계산하고 필요한 무선 채널수 및 소요 주파수를 산출한다. 또한, ITU-R에서 권고한 기준 트래픽을 바탕으로 서로 다른 가입자 수와 트래픽 분포 및 이용 환경에서 필요한 무선 채널수와 소요 주파수를 산출하며, 채널수와 주파수 요구량에 대한 패킷 서비스 지연시간의 민감도를 분석한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.167-171
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• 2007

본 논문은 패턴 분류 문제에 사용되는 퍼지 최대-최소 신경망 방법을 이용하여 특정 집합으로부터 새로운 특정 집합을 추출해내고 추출된 특정 집합으로부터 의미 있는 특정을 선택해 내는 새로운 방법을 제안한다. 퍼지 최대-최소 신경망은 패턴 분류를 위해 주로 사용이 되어 왔지만, 퍼지 최대-최소 신경망을 이용해 특정 집합의 값들을 패턴 공간내의 초상자의 집합으로 변환하고 변환된 초상자들끼리의 인접성을 척도로 단순한 연산을 통한 빠른 특정 집합을 선택하게 된다. 마지막으로 본 논문의 특정 집합 선택 방법을 하지 근전도 신호를 이용한 보행 패턴 분류에 적용해 보고, 그 결과를 기존 여러 특정 집합 선태 방법들과 비교해 봄으로써 제안한 방법의 타당성 및 적용 가능성을 알아본다.