• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2465-2471
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• 2013

This paper develops a travel time prediction algorithm that can be used for real-time application. The algorithm searches for the most similar pattern in historical travel time database as soon as a series of real-time data become available. Artificial neural network approach is then taken to forecast travel time in the near future. To examine the performance of this algorithm, travel time data from Gyungbu Highway were obtained and the algorithm is applied. The evaluation shows that the algorithm could predict travel time within 4% error range if comparable patterns are available in the historical travel time database. This paper documents the detailed algorithm and validation procedure, thereby furnishing a key to generating future travel time information.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.564-568
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• 2008

In this paper, we develop a vibration pattern editor and a vibration pad controller for a sound-driven vibration system, which can generate diverse vibration effects in realtime by analyzing signals from the sound output of PC. It consists of a DSP system to analyze the sound, a wrist-wearable vibration pad, and its controller. For the vibration pattern editor, we define four elements to describe the pattern the locations of vibrating elements, start time, duration, and vibration intensity. The editor provides a GUI through which users can create such patterns fast and easily, and store them for reuse. We also propose a pattern-interpreting controller. It is able to interpret patterns created by the editor and control the pad accordingly. It can avoid the need to change the controller firmware whenever desired patterns change.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7B
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• pp.1034-1042
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• 2010

As many researchers have been interested in Green IT, Energy Efficient Ethernet(EEE) with rate adaptation has recently begun to receive many attention. However, the rate adaptation scheme can have different energy efficiency and delay according to the characteristics of various traffic patterns. Therefore, in this paper, we analyze the impact of different traffic patterns on the energy efficiency and delay in Ethernet with rate adaptation. To do this, firstly we design a rate adaptation simulator which consists of Poisson based traffic generator, Pareto distribution based ON-OFF generator and Ethernet node with rate adaptation by using OPNET Modeler. Using this simulator, we perform the simulation in view of the total number of switching, transmission rate reduction, energy saving ratio and average queueing delay. Simulation results show that IP traffic patterns with high self-similarity affect the number of switching, rate reduction and energy saving ratio. Additionally, the transition overhead is caused due to the high self-similar traffic.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.377-382
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• 2014

Analysis techniques of the data over time from the mobile environment and IoT, is mainly used for extracting patterns from the collected data, to find meaningful information. However, analytical methods existing, is based to be analyzed in a state where the data collection is complete, to reflect changes in time series data associated with the passage of time is difficult. In this paper, we introduce a method for analyzing multi-block streaming data(AM-MBSD: Analysis Method for Multi-Block Stream Data) for the analysis of the data stream with multiple properties, such as variability of pattern and large capacitive and continuity of data. The multi-block streaming data, define a plurality of blocks of data to be continuously generated, each block, by using the analysis method of the proposed method of analysis to extract meaningful patterns. The patterns that are extracted, generation time, frequency, were collected and consideration of such errors. Through analysis experiments using time series data.

• Annual Conference of KIPS
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• 2016.10a
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• pp.671-673
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• 2016

기술의 발전에 따라 소형 디바이스에서도 데이터를 수집하고 전송하는 것이 가능해졌다. 따라서 최근 IoT와 헬스케어가 부각되고 있으며 여기서 발생한 데이터에 대한 많은 연구가 진행되고 있다. 그 중에서도 헬스케어 장비에 내장된 심전도 센서를 이용하여 시계열 데이터를 수집할 수 있고, 여기서 수집한 데이터는 부정맥 등의 심장질환 진단의 중요한 지표로서 사용될 수 있다. 시계열 데이터는 시계열 분석 방법을 사용하여 정상 패턴과 비정상 패턴으로 분류할 수 있지만, 대량의 시계열 분석 방법은 수행시간이 많이 소요되기 때문에 이를 단축 할 필요성이 있다. 본 논문에서는 시계열 데이터 분석 기법 중 하나인 Shapelet을 사용하여 심전도 데이터의 패턴을 정상 및 비정상으로 분류하였고, 병렬처리 기법을 적용하여 수행시간을 단축하였다. 실험 결과, 각각의 심전도 데이터는 87%의 정확도로 분류되었고, Shapelets을 탐색하는 구간의 병렬처리를 통하여 수행 시간이 약 60%로 감소하였음을 확인하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.1
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• pp.54-61
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• 2009

This paper presents a new electromyogram (EMG) pattern recognition method based on the Hierarchical Temporal Memory (HTM) algorithm which is originally devised for image pattern recognition. In the modified HTM algorithm, a simplified two-level structure with spatial pooler, temporal pooler, and supervised mapper is proposed for efficient learning and classification of the EMG signals. To enhance the recognition performance, the category information is utilized not only in the supervised mapper but also in the temporal pooler. The experimental results show that the ten kinds of hand motion are successfully recognized.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.11a
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• pp.59-65
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• 2002

Recently, lots of researchers work focused on the intrusion detection system. Pattern matching technique is commonly used to detect the intrusion in the system, However, the method requires a lot of time to match between systems rule and inputted packet data. This paper proposes a new intrusion detection system based on the pattern matching technique. Proposed system reduces the required time for pattern matching by using classified system rule. The classified rule is implemented with a general tree for efficient pattern matching. Thereby, proposed system could perform network intrusion detection efficiently.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.59-65
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• 2002

Recently, lots of researchers work focused on the intrusion detection system. Pattern matching technique is commonly used to detect the intrusion in the system, However, the method requires a lot of time to match between systems rule and inputted packet data. This paper proposes a new intrusion detection system based on the pattern matching technique. Proposed system reduces the required time for pattern matching by using classified system rule. The classified rule is implemented with a general tree for efficient pattern matching. Thereby, proposed system could perform network intrusion detection efficiently.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.69-74
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• 2023

The design methods using patterns have been used in various design fields. Both utility and results have also developed a lot, so that patterns occupy an essential parts in designs. Patterns are often used in various techniques in designing ornaments. However, both time and excessive effort concentrations restricted ornaments designs due to the nature of the craft production techniques by repeated patterns. Therefore, in this study, the traditional craft methods are combined by using computer programs in the applications, repetitions, arrangements of patterns for the manufacturing of ornaments.

• The KIPS Transactions:PartD
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• v.15D no.2
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• pp.179-186
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• 2008

The converge of location-aware devices, GIS functionalities and the increasing accuracy and availability of positioning technologies pave the way to a range of new types of location-based services. The field of spatiotemporal data mining where relationships are defined by spatial and temporal aspect of data is encountering big challenges since the increased search space of knowledge. Therefore, we aim to propose algorithms for mining spatiotemporal patterns in mobile environment in this paper. Moving patterns are generated utilizing two algorithms called All_MOP and Max_MOP. The first one mines all frequent patterns and the other discovers only maximal frequent patterns. Our proposed approach is able to reduce consuming time through comparison with DFS_MINE algorithm. In addition, our approach is applicable to location-based services such as tourist service, traffic service, and so on.