• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권1호
• /
• pp.1-15
• /
• 2019

Internet of Things (IoT) is commonly referred to as a future internet technology to provide advanced services by interconnecting physical and virtual things, collecting and using many data from them. The IoT platform is a server platform with a common architecture to collect and share the data independent of the IoT devices and services. Recently, oneM2M, the global standards initiative for Machine-to-Machine (M2M) communications and the IoT announced the availability of oneM2M Release 2 specifications. Accordingly, this paper presents a new oneM2M-compliant IoT platform called Mobius 2.0 and proposes its application to collect the biosignal data from wearable IoT devices for emotion recognition. Experimental results show that we can collect various biosignal data seamlessly and extract meaningful features from the biosignal data to recognize two emotions of joy and sadness.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권4호
• /
• pp.1812-1824
• /
• 2019

The location and human activity are usually used as one of the important parameters to monitor the health status in healthcare devices. However, nearly all existing location and monitoring systems have the limitation of short-range communication and high power consumption. In this paper, we propose a new mechanism to collect and transmit monitoring information based on LoRa technology. The monitoring device with sensors can collect the real-time activity and location information and transmit them to the cloud server through LoRa gateway. The user can check all his history and current information through the specific designed mobile applications. Experiment was carried out to verify the communication, power consumption and monitoring performance of the entire system. Experimental results demonstrate that this system can collect monitoring and activity information accurately and provide the long rang coverage with low power consumption.

• 한국멀티미디어학회논문지
• /
• 제24권1호
• /
• pp.40-50
• /
• 2021

Science museum are dealing with exhibits on field of changing science and technology, and previous research suggested that exhibits replacement should carried out at least every 5 years. In order to efficiently replace exhibits within a limited budget, various studies analyzed visitors' preferences to exhibits. Recently, studies use various technologies to collect the data on visitors' preferences automatically, but almost of studies had a high dependency on their visitors such as visitors needed to carry specific sub-devices in the museums for gathering data. As complementing the limitations of previous research, this study introduces the improved method which is able to automatically collect and quantify visitors' preferences to exhibits using TensorFlow, a deep learning technology. By the proposed analysis method, it was possible to collect 2,520 data of visitors' experience on exhibits in totality. Based on collected data, attraction power and holding power indicating the preference of visitors on exhibits were able to be calculated. The result also confirmed antecedent research conclusion that the attraction power and holding power of the exhibit which consists of 3 dimensional structures work are higher than other exhibits. As a conclusion, the proposed method will provide more convenient data collection method for detecting visitors' preference.

• Educational Technology International
• /
• 제12권2호
• /
• pp.19-46
• /
• 2011

The purpose of the study was to identify the characteristics of classroom inquiry features exhibited on a web-based discussion board, which is called the Message Board. Approximately 4,000 students from 80 schools with 60 on-line scientists were participated in the study. During the study, a total of 639 messages in the selected cluster and several patterns were identified and analyzed. Three main features of the classroom inquiry were analyzed in terms of: 1) learner gives priority to evidence in responding to questions; 2) learner formulates explanations from evidence; 3) learner communicates and justifies explanations. The results are as follow. First, once learners identified and understood the questions posed by the curriculum, they needed to collect evidence or information in responding to the questions. Depending on the question that students were given, types of evidence/data students needed to collect and how to collect the data could vary. Second, students' formulated descriptions, explanations, and predictions after summarizing evidence were observed on the Message Board. However, the extent to which students summarized evidence for descriptions, explanations, and predictions varied. In addition, students were able to make a better use of evidence over time when they formulate descriptions and explanations. Third, the Message Board was designed to allow the great amount of learner self-direction. Classroom teachers and on-line scientists played an important role in providing guidance in developing inquiry. At the same time, development of content understanding also contributed to inquiry development.

• 한국주조공학회지
• /
• 제10권4호
• /
• pp.284-288
• /
• 1990

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2002년도 하계학술대회 논문집 B
• /
• pp.1211-1213
• /
• 2002

We have frequently felt it inconvenient to collect fare drawing the card in transportation system. Especially, for subway the fares of mass transportation at rush hours of the days, it's important to find a way to collect fares without unnecessarily delaying passengers. In this paper, we proposed a system for the gateless fare collection passing through the booth in only carrying the card. In this system that RF-ID system and Bluetooth are applied. We designed two wireless communication channels. One is the 125kHz communication channel by FSK and PSK for power supplying on the card and identification and the other is 2.4GHz channel for the collection.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2012년도 춘계학술대회
• /
• pp.815-816
• /
• 2012

재난에 대비한 빠른 대응을 위해서는 재난정보를 신속하게 수집하는 것이 필요하다. 본 연구에서는 재난정보를 실시간으로 수집하기 위해서 어떤 방법이 있는지 살펴보고, 수집된 정보를 어떤 방법으로 신속하게 활용할 수 있는지 살펴본다.

• International Journal of Internet, Broadcasting and Communication
• /
• 제12권4호
• /
• pp.218-225
• /
• 2020

The purpose of this paper is to establish an IoT-based big data platform that can check the space and form analysis in various play cultures of children. Therefore, to this end, in order to understand the healthy play culture of children, we are going to build a big data platform that allows IoT and smart devices to work together to collect data. Therefore, the goal of this study is to develop a big data platform linked to IoT first in order to collect data related to observation of children's mobile movements. Using the developed big data platform, children's play culture can be checked anywhere through observation and intuitive UI design, quick information can be automatically collected and real-time feedback, data collected through repeaters can be aggregated and analyzed, and systematic database can be utilized in the form of big data.

• 한국한의학연구원논문집
• /
• 제16권2호
• /
• pp.101-108
• /
• 2010

Objectives : Recently, in Sasang Constitution Medicine (SCM), many researchers have studied to construct objective diagnose tool for the SCM type. It is most important to collect correct constitutional clinical data in these studies. Methods : In our work, we construct a web-based system for collecting constitutional clinical data effectively. Results & Conclusion : The system offers 4 types of input programs, which helps to collect clinical information from various hospitals, and performs verification service to minimize input errors. Currently, we have collected about four thousands data using the our system and we will provide several analysis tool in the system for researchers.

• 한국경영과학회지
• /
• 제30권3호
• /
• pp.1-15
• /
• 2005

In our model, a fleet of vehicles start from docking point to collect loads at the terminals assigned to the point Then the docking points are connected to the hub by primary vehicle routes starting at the hub. This vehicle visit all the docking points to collect the loads which have been collected by the secondary vehicles. Our goal Is to minimize the long-run cost of setting up the docking Points and vehicle operation cost by deciding the location of the docking points and the routes optimally. We propose an heuristic algorithm to solve this and tested it though various experiments.