• The Journal of Korean Association of Computer Education
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• v.17 no.1
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• pp.65-73
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• 2014

The purpose of this study is to examine how time management, usefulness, and interest predict m-learning outcomes. For this study, 144 high school students participated in m-learning activities during science classes. After 5 week of classes, they responded the following surveys: time management, usefulness, interest, satisfaction, perceived achievement and learning persistence. Multiple regression analyses with correlation applied to this study as a data analysis method. The results showed that time management, usefulness, interest significantly predicted learning satisfaction and persistence. In addition, time management and usefulness significantly predicted perceived achievement, Therefore, these findings imply that time management, usefulness should be considered for designing m-learning activities in high school science class.

• Journal of Korean Society of Transportation
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• v.19 no.6
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• pp.171-182
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• 2001

Travel Time is an important characteristic of traffic conditions in a road network. Currently, there are so many road users to get a unsatisfactory traffic information that is provided by existing collection systems such as, Detector, Probe car, CCTV and Anecdotal Report. This paper presents the results achieved with Data Fusion Model, Hybrid Neuro Fuzzy System for on - line estimation of travel times using RTMS(Remote Traffic Microwave Sensor) and Probe Data in the signalized arterial road. Data Fusion is the most important process to compose the various of data which can present real value for traffic situation and is also the one of the major process part in the TIC(Traffic Information Center) for analyzing and processing data. On-line travel time estimation methods(FALEM) on the basis of detector data has been evaluated by real value under KangNam Test Area.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.661-664
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• 2023

이 프로젝트의 목표는 공유 공간에서의 고객 이용 시간 관리를 향상하기 위해 라즈베리 파이와 센서 기술을 활용한 자동 시간 체크 시스템의 개발입니다. 이 시스템은 로드셀, 진동 감지 센서, 그리고 LiDAR 센서, 이 세 가지 센서를 활용해 의자에서 사용자의 존재 여부를 감지하고, 사람과 물건을 구별하며, 사용자가 의자에서 일어나는 시점을 파악합니다. 특히, 고객이 의자에 앉게 되면 시스템이 자동으로 시간을 체크하여 실시간으로 이용 시간을 측정하게 됩니다. 이렇게 수집된 정보는 웹 기반의 사용자 인터페이스를 통해 제공되어, 이용 시간 관리가 보다 편리해집니다.

• Journal of Korean Society of Transportation
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• v.23 no.8 s.86
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• pp.147-152
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• 2005

This study firstly developed a tool for evaluating performance requirements of automatic vehicle identification (AVI) techniques. A microscopic traffic simulator, Paramics, was employed to investigate the effects of AVI performances on the accuracy of estimating section travel times. Mote Carlo simulation approach was incorporated into Paramics to conduct systematic evaluations of identifying required AVI performances. The proposed method in this study can serve as a logical and necessary precursor to field implementation of a variety of AVI techniques toward achieving more reliable traffic information.

• Journal of KIISE
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• v.41 no.12
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• pp.1152-1159
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• 2014

In this paper, we presents a system to ensure the safety of residents through appropriate action or alarm in case the residents occurs an emergency situation and abnormal activity. We collect and analysis real-time data of living environment of the residents using video and sensor. The existing system have been determined by using only the sensor data it have several problems. Our system attach camera to solve the existing system problem. We use weighted difference image and motion vector. The existing system, it takes about 48 hours to determine that an abnormal activity occurs. However, our system takes less than 1 hour.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.574-575
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• 2018

The generation of redundant data according to the spatial-temporal correlation in a wireless sensor network that reduces the network lifetime by consuming unnecessary energy. In this paper, data collection experiment through the particulate matter sensor is carried out to confirm the spatial-temporal data redundancy and we propose permitted limit setting method for data transmission to solve this problem. In the proposed method, the data transmission permitted limit is set by using the integrated average value in the cluster. The set permitted limit reduces the redundant data of the member node and it is shows that redundant data reduction is possible even in a variable environment of collected data by resetting the permitted limit in the cluster head.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1349-1353
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• 2008

최근 다양한 조사사업 및 연구용역을 통해 도출된 유관기관별 수질 및 오염원 자료가 방대해지고, 이를 관리하기 위한 인력 및 시간이 요구되고 있다. 그러나 이와 더불어 각 기관별 업무가 중복되고, 인력 및 시간의 부족으로 인한 조사자료의 질의 저하 및 부정확성 문제 등 오염원자료 관리에 있어 해결되어야 문제점들이 제시되고 있는 실정이다. 각 기관별 보유자료에 대한 자체 신뢰도는 매우 취약한 실정이며, 특히 생활계 오염원 자료의 기초가 되는 하수관거접속 인구, 물 사용량 자료와 축산계 오염원 자료의 기초인 인허가 자료 등은 자료간의 편차가 상당한 수준인 것으로 조사되었다. 오염총량관리제도 도입을 위한 자료 검증과정에서 기초자료 체계를 갖추는데 소요되는 기간만큼 계획의 수립이 지연 혹은 중단되는 사례가 최근 몇 년간 반복되고 있는 실정임을 감안할때 각 기관별로 계획수립에 필요한 자료의 수집 및 관리가 이루어져하는 당위성에 비추어볼 때 향후 오염총량관리제의 도입 등을 위하여 오염원 조사 뿐만 아니라 수문, 수질 기초 자료의 수집 및 체계적인 데이터베이스화를 통해 유관기관의 계획수립에 필요한 체계를 구축하고, 유역오염정보화의 근간을 마련하여야 한다. 이에 본 연구에서는 웹기반의 물관리 연구 네트워크를 구축하여 관련된 이해당사자들의 정보교류의 장으로서, 수행사업에 대한 홍보의 장으로서, 주요연구사항에 대한 학습의 장으로서 활용하게 된다. 체계적인 연구 네트워크 구성 및 유역환경정보 공유시스템의 구축은 물환경 인프라를 확충시키는데 매우 중요한 역할을 담당할 것이다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.1
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• pp.121-131
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• 2020

Current traffic information is collected through a loop detector or an image detector. This method is influenced by weather and time, so a traffic information generation system is needed to replace it. A system for generating traffic information using a smartphone in a vehicle is proposed and the performance of the proposed method is verified through the collection rate and the travel time error rate obtained through field tests. In addition, we propose an algorithm for generating intersection traffic information for each direction of rotation, suggest ways to increase the amount of valid information, and confirm the results.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.189-195
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• 2014

In this paper, we conducted a study on place-free and time-free cloud computing (CC) adoption decision-making model. Panel survey data which is collected from 65 people and CART (classification and regression tree) which is one of data mining approaches are used to construct decision-making model. In this modeling, there are 2 steps: In the first step, significant questions (variables) are selected. After that, the CART decision-making model is constructed using the selected variables. In the variable selection stage, the 25 questions are reduced to 5 ones. The benefits of question reduction are quick response from respondent and reducing model-construction time.

• 한국데이터정보과학회:학술대회논문집
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• 2006.04a
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• pp.307-315
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• 2006

Distributing information on the internet is common in our daily life. In the past, e-mail has been the primary choice of exchanging information. But instant messengers are gaining popularity abroad and domestically because of their immediate responses. Instant messaging has become the fastest growing communication technology in recent years. Instant messaging is effectively a chat room of two people. Users that have accounts with the same provider are able to send messages via computer in real time. Instant messaging has exploded into the business world as companies utilize the technology for everything from interoffice communication to client/customer communication. In this paper, we propose a system design for effective data collection and statistical analysis.