• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.1
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• pp.50-63
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• 2017

While transit is inconvenient, it is also inevitable for the efficient public transportation. Reducing the number of transfers as much as possible is most important in providing the convenience of public transportation and facilitating the public transportation. As for the public transportation card data, 61,986 items on weekdays and 69,100 items on weekends were collected. Pattern analysis and traffic influence factors were analyzed using traffic data card. Trip chain results revealed that people have more transit transfers for shopping and leasure than commuting purposes on weekends and that commuting distance and time increase by 10 km and 9.9 minutes, respectively. Besides, results of the structural equation model showed that factor 1(total travel time, total travel distance), factor 2(number of people getting on and off), factor 3(transit time), and factor 4(number of bus connections, number of operations) were found to have significant effects on the number of transfers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.113-116
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• 2001

In this paper, a new multicasting scheduling is proposed for WDM single-hop broadcast network. The main idea of traditional multicast scheduling algorithms is partitioning the multicast group into several subgroups to reduce the delay time after receiving previous message. Those partitioning algorithms are grouping method of receivers already tuned to transmitters wavelength. However, multicast scheduling shows better performance by considering the previous status of receivers. Thus, in this paper, a new subgrouping method is proposed to minimize delay through collecting the current status of receivers. This method is operated by using the tunable transceiver in WDM single hop broadcasting network and uses fixed control channel for collecting the status of receivers. In addition, we analyzed the performance of proposed method through the computer simulation and then compared with existing multicast scheduling algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.1027-1031
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• 2006

Recently, mobile-type analysis system when emergency patient can check his blood condition in the transportation or vessel has being required. Under the present system, it takes lots off-time to know the blood analysis result of patient, so, it may lead to a dangerous situation. But, in this study, analysis time makes to fall down to $1{\sim}min$. to emergency treatment patient more quickly, and you can check the information by wireless PC through Bluetooth base. It is able to measure in about 7minutes from 25minutes of warming-up time in existing facilities by testing temperature peculiarity curve, to operate system without error even minute temperature change by adoption DUAL heating. And Bluetooth base was adopted to reduce power consumption and be able to hospital networking by keeping and sending analyzed data when it needs.

• Journal of Advanced Navigation Technology
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• v.17 no.6
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• pp.804-809
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• 2013

The current state monitoring system at a semiconductor manufacturing process is based on the manually collected sensor data, which involves limitations when it comes to complex malfunction detection and real time monitoring. This study aims to design a situation recognition algorithm to form a network over time by creating a domain ontology and to suggest a system to provide users with services by generating events upon finding risk factors in the semiconductor process. To this end, a multiple sensor node for situational inference was designed and tested. As a result of the experiment, events to which the rule of time inference was applied occurred for the contents formed over time with regard to a quantity of collected data while the events that occurred with regard to malfunction and external time factors provided log data only.

• The Korean Journal of Archival Studies
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• no.51
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• pp.175-208
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• 2017

This study aims to establish the definition of "event archive," which collects and manages records that focus on a specific event, in order to present a new perspective onto the collection and management of private records. As such, this study defines "event archive" and then identifies its characteristics by comparing it with community archives and locality archives. An event archive consists of person, spatiality, and temporality. As it puts an emphasis on temporality in particular, this study suggests a spiral model, which grafts person and spatiality onto a time axis. Moreover, this study suggests three considerations for the construction of an event archive. First, it presents different construction methods for different types of event archives depending on the time an event occurred. Second, it suggests records collection and management areas considering the three components of an event archive-person, spatiality, and temporality. Third, it supports a digital archive for an event archive to become an open archive.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.4
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• pp.39-49
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• 2022

In this study, data on traffic volume and weight of small trucks were collected from three National Highways to identify the overload status of small trucks excluded from domestic overloaded vehicle enforcement. These data were classified according to the vehicle type, day of the week, and time of day to analyze the overload distributions by the vehicle total weight. From the analysis results by vehicle type, on average, the overload ratios for trucks of 1.5 tons or less, 2.5 tons or less, 3.5 tons or less were 6.2%, 31.7%, and 13.7%, respectively. In addition, for the same vehicle model, there was a difference by collection point, and the smaller the total weight of the small truck, the higher the overload ratio. From the results according to the day of the week, there was no tendency for the overload ratio to appear high on a specific day, but there was a predictable occurrence pattern at each site. In addition, from the results by the time of day, the overload ratio was the highest on average after lunch (13:00-15:59) at all sites.

• Journal of KIISE:Information Networking
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• v.35 no.2
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• pp.139-148
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• 2008

Many types of sensor data exhibit strong correlation in both space and time. Suppression, both temporal and spatial, provides opportunities for reducing the energy cost of sensor data collection. Unfortunately, existing clustering algorithms are difficult to utilize the spatial or temporal opportunities, because they just organize clusters based on the distribution of sensor nodes or the network topology but not correlation of sensor data. In this paper, we propose a novel clustering algorithm with suppression techniques. To guarantee independent communication among clusters, we allocate multiple channels based on sensor data. Also, we propose a spatio-temporal suppression technique to reduce the network traffic. In order to show the superiority of our clustering algorithm, we compare it with the existing suppression algorithms in terms of the lifetime of the sensor network and the site of data which have been collected in the base-station. As a result, our experimental results show that the size of data was reduced by $4{\sim}40%$, and whole network lifetime was prolonged by $20{\sim}30%$.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3421-3425
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• 2015

In sensor networks, sensor nodes are usually distributed to manage the networks in continuous unique area, however as by the network property nodes can be located in several areas. The data gathering of distributed nodes to several areas can be different with current continuous area. Hence, the distributed networks can be differently managed to the current continuous networks. In this paper, we describe the data gathering of sensor nodes in distributed sensor areas. It is possible that sensor nodes cannot instantly connect the mobile sink, and the node operation should be considered. The real time data sending to the instant connection scheme of mobile sink can be implemented, but the property of mobile sink should be considered for the sink connection of distributed areas. In this paper, we analyze the proposed scheme by the simulation results. The simulation results show that the overall lifetime to the periodic data gathering method is longer than the threshold method.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.387-392
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• 2018

Clinical trials are an important part of developing new medical devices or developing new drugs. However, it takes many time and expense to conduct clinical trials. In order to solve this problem, it define the standard format of the data collected in clinical trials in major countries and in Korea. Clinical trials are also underway in korean medicine to develop new medical devices. If it define the standards for the data we collect in clinical trials, there are likely to be a variety of ways to use them. If it collect and manage various clinical trial data as one standardized data, you will be able to draw various results. Based on these findings, we established a system for collecting and managing integrated data on clinical trials. And let's look at how to use it.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.1
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• pp.67-80
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• 2012

Recently as the number of smartphone user is growing rapidly, android is also getting more interest in digital forensic. However, there is not enough research on digital data acquisition and analysis based on android platform's unique characteristics so far. Android system stores all the related recent systemwide logs from the system components to applications in volatile memory, and therefore, the logs can potentially serve as important evidences. In this paper, we propose a digital data acquisition and analysis system for android which extracts meaningful information based on the correlation of android logs and user activities from a device at runtime. We also present an efficient search scheme to facilitate realtime analysis on site. Finally, we demonstrate how the proposed system can be used to reconstruct the sequence of user activities in a more intuitive manner, and show that the proposed search scheme can reduce overall search and analysis time approximately 10 times shorter than the normal regular search method.