• Journal of the Semiconductor & Display Technology
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• v.21 no.3
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• pp.12-16
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• 2022

In this paper, a method for measuring image pattern widths is proposed using gaussian interpolation, in order to improve inconsistent results coming from the different directions in image patterns. The performance of our method is evaluated using image patterns with 9 directions, and compared with previous methods. It is confirmed that the proposed method gives accurate and consistent width results regardless of pattern directions.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2007.12a
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• pp.337-339
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• 2007

The productivity of container terminal is usually regarded same as the productivity of quay crane. Operation of quay crane for the export is started from picking up a container in yard block. In doing so, smooth flow of container is vital to maximize the productivity of quay crane. Improvement of quay crane's productivity means improvement of entire productivity in container terminal, which reinforces the competitiveness of terminal consequently. Setting effective plan is essential to improve work flow from yard to quay crane. For optimal plan, it is necessary to gather information about exact time schedule of come-and-go containers for loading, amount of containers that will be come to terminal. Generally, the arrival time of containers and the amount of containers are definite and predictable. However, in the case of export container, the arrival time of containers is random and unpredictable. This study examines the pattern of coming-in containers as time goes in container yard and provides the solution to how to plan export yard considering the change of state in terminal and adapt it to container yard plan

• Asian review of World Histories
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• v.2 no.1
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• pp.1-16
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• 2014

This paper examines the historical relationship between the Little Ice Age and the Anthropocene, which has not yet been studied. The Little Ice Age is the coldest multi-century period in the Holocene. The reforestation of huge farmlands, abandoned due to pandemics in the Americas, aggravated the cooling weather of the Little Ice Age. It was in the long and severe cold of the Little Ice Age that the transition from renewable energy to non-renewable energy was completed in Britain in the latter part of the eighteenth century, and when the pattern of linear growth in greenhouse gas concentrations was forged in the ecosystems of the Earth. The Little Ice Age forced humans to depend on fossil fuels while the advent of warmer and more stable climate in the Holocene enabled them to start agriculture in an energy revolution 11,000 years ago, thus making the coming of the Anthropocene possible.

• Korean Journal of Remote Sensing
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• v.22 no.5
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• pp.457-462
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• 2006

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

• Proceedings of the KSRS Conference
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• v.2
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• pp.627-630
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• 2006

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

• Journal of Internet of Things and Convergence
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• v.4 no.2
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• pp.7-11
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• 2018

In this paper, kinematic based walking pattern generation of biped walking robot is reviewed. Biped walking robot should be consisted of 6 Degree of Freedom(DOF) for each leg to walk properly in 3 dimensional circumstance. In this paper, simple structure of biped robot is depicted for walking pattern firstly. After fixing path of ankle of the robot, angle joints are coming from kinematic equatioins. Coordination of joints of a robot was set for dynamic analysis also. So walking pattern of a robot will be designed using dynamic equations of coordination of joint angles. Finally, setting of ankle of robot and pattern generation are key procedures of the robot walking.

• Korean Institute of Interior Design Journal
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• v.24 no.3
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• pp.113-120
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• 2015

Apartment is characterized by its various households occupying a unit each in the same building, and its shared space is important in that it supports the living, exchange of information and communication between neighbors, thereby creating a sense of community. This study focused on coming up with designs to vitalize the shared space in the apartment, and to do that, Christopher Alexander's pattern language was applied to analyze the patterns found in the apartment shared space, find improvements and propose the design methods that reflect the unique characteristics of designs in Korea. The study is mainly based on literary review and field research. (1) The definition and composition of shared space and Christopher Alexander's pattern language are examined; (2) The field research is performed to analyze the patterns in the shared space of the apartments that have been planned recently in order to find the problems and elements that can be improved; and The above is reflected and proposed as a design method. The study will help rediscover the significance of space by proposing the methodology for shared space design, encouraging the use of shared space and contributing to the enhancement of community.

• Journal of information and communication convergence engineering
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• v.5 no.1
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• pp.42-44
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• 2007

The a-Si:H TFTs decreasing parasitic capacitance of source-drain is fabricated on glass. The structure of a-Si:H TFTs is inverted staggered. The gate electrode is formed by patterning with length of $8{\mu}m{\sim}16{\mu}m$ and width of $80{\sim}200{\mu}m$ after depositing with gate electrode (Cr) $1500{\AA}$ under coming 7059 glass substrate. We have fabricated a-SiN:H, conductor, etch-stopper and photoresistor on gate electrode in sequence, respectively. The thickness of these, thin films is formed with a-SiN:H ($2000{\mu}m$), a-Si:H($2000{\mu}m$) and $n^+a-Si:H$ ($500{\mu}m$). We have deposited $n^+a-Si:H$, NPR(Negative Photo Resister) layer after forming pattern of Cr gate electrode by etch-stopper pattern. The NPR layer by inverting pattern of upper gate electrode is patterned and the $n^+a-Si:H$ layer is etched by the NPR pattern. The NPR layer is removed. After Cr layer is deposited and patterned, the source-drain electrode is formed. The a-Si:H TFTs decreasing parasitic capacitance of source-drain show drain current of $8{\mu}A$ at 20 gate voltages, $I_{on}/I_{off}$ ratio of ${\sim}10^8$ and $V_{th}$ of 4 volts.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.3
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• pp.15-19
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• 2004

We presented the holographic memory system using a multi-mode optical fiber. In this system, we multiplexed multiple holograms using the lights from multi-mode optical fibers as reference beams. The proposed system has two degrees of multiplexing freedom: speckle pattern of light coming from multi-mode fiber and spatial location of multi-mode fibers. Therefore, the data addressing in the system can be performed by mode and spatial multiplexings.

• Journal of Institute of Control, Robotics and Systems
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• v.3 no.5
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• pp.520-525
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• 1997

This paper presents a fault detection and diagnosis methodology based on weighted symptom model and pattern matching between the coming fault propagation trend and the simulated one. In the first step, backward chaining is used to find the possible cause candidates for the faults. The weighted symptom model is used to generate those candidates. The weight is determined from dynamic simulation. Using WSM, the methodology can generate the cause candidates and rank them according to the probability. Second, the fault propagation trends identified from the partial or complete sequence of measurements are compared with the standard fault propagation trends stored a priori. A pattern matching algorithm based on a number of triangular episodes is used to effectively match those trends. The standard trends have been generated using dynamic simulation and stored a priori. The proposed methodology has been illustrated using two case studies, and the results showed satisfactory diagnostic resolution.