• The KIPS Transactions:PartB
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• v.15B no.2
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• pp.137-146
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• 2008

Fault localization plays a significant role in enormous distributed system because it can identify root cause of observed faults automatically, supporting self-managing which remains an open topic in managing and controlling complex distributed systems to improve system reliability. Although many Artificial Intelligent techniques have been introduced in support of fault localization in recent research especially in increasing complex ubiquitous environment, the provided functions such as diagnosis and prediction are limited. In this paper, we propose fault localization for self-managing in performance evaluation in order to improve system reliability via learning and analyzing real-time streams of system performance events. We use probabilistic reasoning functions based on the basic Bayes' rule to provide effective mechanism for managing and evaluating system performance parameters automatically, and hence the system reliability is improved. Moreover, due to large number of considered factors in diverse and complex fault reasoning domains, we develop an efficient method which extracts relevant parameters having high relationships with observing problems and ranks them orderly. The selected node ordering lists will be used in network modeling, and hence improving learning efficiency. Using the approach enables us to diagnose the most probable causal factor with responsibility for the underlying performance problems and predict system situation to avoid potential abnormities via posting treatments or pretreatments respectively. The experimental application of system performance analysis by using the proposed approach and various estimations on efficiency and accuracy show that the availability of the proposed approach in performance evaluation domain is optimistic.

• Parasites, Hosts and Diseases
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• v.56 no.2
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• pp.135-145
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• 2018

Due to the critical location and physiological activities of the retinal pigment epithelial (RPE) cell, it is constantly subjected to contact with various infectious agents and inflammatory mediators. However, little is known about the signaling events in RPE involved in Toxoplasma gondii infection and development. The aim of the study is to screen the host mRNA transcriptional change of 3 inflammation-related gene categories, PI3K/Akt pathway regulatory components, blood vessel development factors and ROS regulators, to prove that PI3K/Akt or mTOR signaling pathway play an essential role in regulating the selected inflammation-related genes. The selected genes include PH domain and leucine- rich-repeat protein phosphatases (PHLPP), casein kinase2 (CK2), vascular endothelial growth factor (VEGF), pigment epithelium-derived factor (PEDF), glutamate-cysteine ligase (GCL), glutathione S-transferase (GST), and NAD(P)H: quinone oxidoreductase (NQO1). Using reverse transcription polymerase chain reaction (RT-PCR) and quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR), we found that T. gondii up-regulates PHLPP2, $CK2{\beta}$, VEGF, GCL, GST and NQO1 gene expression levels, but down-regulates PHLPP1 and PEDF mRNA transcription levels. PI3K inhibition and mTOR inhibition by specific inhibitors showed that most of these host gene expression patterns were due to activation of PI3K/Akt or mTOR pathways with some exceptional cases. Taken together, our results reveal a new molecular mechanism of these gene expression change dependent on PI3K/Akt or mTOR pathways and highlight more systematical insight of how an intracellular T. gondii can manipulate host genes to avoid host defense.

• Proceedings of the Korea Water Resources Association Conference
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• 2002.05a
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• pp.43-50
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• 2002

Accurate quantitative forecasting of rainfall for basins with a short response time is essential to predict streamflow and flash floods. Previously, neural networks were used to develop a Quantitative Precipitation Forecasting (QPF) model that highly improved forecasting skill at specific locations in Pennsylvania, using both Numerical Weather Prediction (NWP) output and rainfall and radiosonde data. The objective of this study was to improve an existing artificial neural network model and incorporate the evolving structure and frequency of intense weather systems in the mid-Atlantic region of the United States for improved flood forecasting. Besides using radiosonde and rainfall data, the model also used the satellite-derived characteristics of storm systems such as tropical cyclones, mesoscale convective complex systems and convective cloud clusters as input. The convective classification and tracking system (CCATS) was used to identify and quantify storm properties such as life time, area, eccentricity, and track. As in standard expert prediction systems, the fundamental structure of the neural network model was learned from the hydroclimatology of the relationships between weather system, rainfall production and streamflow response in the study area. The new Quantitative Flood Forecasting (QFF) model was applied to predict streamflow peaks with lead-times of 18 and 24 hours over a five year period in 4 watersheds on the leeward side of the Appalachian mountains in the mid-Atlantic region. Threat scores consistently above .6 and close to 0.8 ∼ 0.9 were obtained fur 18 hour lead-time forecasts, and skill scores of at least 4％ and up to 6％ were attained for the 24 hour lead-time forecasts. This work demonstrates that multisensor data cast into an expert information system such as neural networks, if built upon scientific understanding of regional hydrometeorology, can lead to significant gains in the forecast skill of extreme rainfall and associated floods. In particular, this study validates our hypothesis that accurate and extended flood forecast lead-times can be attained by taking into consideration the synoptic evolution of atmospheric conditions extracted from the analysis of large-area remotely sensed imagery While physically-based numerical weather prediction and river routing models cannot accurately depict complex natural non-linear processes, and thus have difficulty in simulating extreme events such as heavy rainfall and floods, data-driven approaches should be viewed as a strong alternative in operational hydrology. This is especially more pertinent at a time when the diversity of sensors in satellites and ground-based operational weather monitoring systems provide large volumes of data on a real-time basis.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.152-161
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• 2011

This study examines characteristics of sports movies between Korea and the U.S. Especially, this paper focuses on three different characteristics including structural, internal characteristics and performance of sports movies. The major results are as follows: firstly, there were similarities between two countries in terms of opening year, genre, classification but movie subjects. More specifically, movie opening years were not related to global sports events. In addition, most sports movies were mainly produced by human genre and all age movie classification. However, in terms of sports subjects, although Korean movies were constructed by baseball game, the U.S. movies were based on football game. Secondly, there were also similarities between both sports movies in terms of external characteristics such as gender difference of hero or heroine, internal story structure and their story sources. Most of sports movies have used real stories as movie story. Finally, although many of the U.S. sports movies recorded the high degree of expenditures, three movies recorded the high degree of movie consumption.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.3
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• pp.155-165
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• 2010

In low-lying districts of urban areas, pump stations were built to protect flooding by the heavy rain. Particularly, the automatic pump operation system was installed for efficiency in the pump stations of Seoul. However, the effective pump operation is difficult under existing operating system because the system only performs operation by reservoir depth. This study would like to improve the real time operating system suggested by Jun et al.(2007) and to apply the system Gasan 1 pump station in Seoul. For various design rainfall events, maximum water levels simulated by the suggested system were 10~70cm lower than results by the existing system. And overflow volume at upstream manholes were 50% reduced. We converted the flood control effects by establishment of the suggested system to economic indicators. To obtain the same effect, approximately 4.9 billion won needs to expand pump capacities or 3.2~6.9 hundreds million won needs to construct storm water detention on upstream area. The suggested system could improve the flood control stability by efficient operation of the existing pump station.

• The Journal of the Korea Contents Association
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• v.14 no.7
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• pp.93-102
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• 2014

Recently, various types of dramas have been broadcasted in Korea. Especially, historical dramas having backgrounds about historical events or characters have been recorded high ratings of the viewing audience, as well as a lot of influence on many parts of Korean society. Besides, the historical drama like raised a craze for popular Korean cultures in many Asian countries. The subjects and characters of historical drama are diversifying in recent years. For example, is a royal cook, is a story about running away slaves and their chaser, is a story about a very well-known painter of the Joseon Dynasty era, and is a veterinarian. At this point, in celebration of the officially appointed "year of mathematics", it is very meaningful to demonstrate the importance of mathematics with a historical drama about mathematics and mathematicians of the Joseon Dynasty. In this article, the reasons for production of historical dramas about mathematics and mathematicians in the Joseon Dynasty was presented in two ways. First, modern mathematics has high level of abstractness as its nature, and therefore many students and the public can not understand what except for some areas. Second, it is possible the easier and various approaches can be used to deal with contents about real-life in the view of popularization of mathematics. Also, this article would aim to explore the main character and episodes about mathematics and mathematicians in Joseon Dynasty. For example, the anecdote of Hong Jung Ha, the works of mathematics in the King Sejong's periods, the study of Hong Gil Ju, the joint researches between Nam Byung Gil and Lee Sang Hyuk, the story of Lee Seung Hun, and the mathematics study of middle class people.

• The Journal of Fisheries Business Administration
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• v.42 no.1
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• pp.97-112
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• 2011

Today, the consumer is more careful in buying goods, invests more time in collecting relevant information to avoid any potential danger, and restricts from potential impulse buying. To react this consumer's carefulness, the seafood brands provide much information including the origin labeling system, the traceability, the food's safety & hygiene. Also the branding by region or company is pursued. Like that, a seafood brand's importance is increased, but there lack few researches dealing how current consumer's attitude influences on real purchase behavior, and how the attitude works consumer purchase decision. Therefore, this study researched the brand's influence on the consumer's attitude and purchase intention. For this purpose, this study targeted the salty mackerel and the dried yellow corvina because they are already branded and sold in some popularity, and researched how a brand's popularity, its image, and its recognized quality could effect on the consumer's attitude and purchase intention. As the result, it was appeared that a seafood brand's popularity didn't directly effect on the consumer's purchase intention, but indirectly influenced through the consumer's attitude as a parameter. From this result, improving a seafood brand's popularity needs some time to form the consumer's positive attitude and to lead to consumer purchase intention of seafood brand. So, it is thought that various promotion activities for seafood consumption must be continually performed rather than some temporary special events. Consumers showed more positive attitude on familiar seafood based on a product's original place and the freshness. Also they had better feeling about some seafood with their speciality images rather than the same kinds of products produced in other regions. This attitude temporarily led to purchase intention. Therefore, it is important that the branding strategy development should start from some seafood familiar to us in traditional food culture and food habit, but should delivery the reliance and the freshness in accurately indicating their origins, and should emphasize their differences as specialities. Consumers showed some positive attitudes on the seafood featuring the hygiene, the safety, continual good quality, and their attitudes led to their purchase intentions in temporary. The seafood product reflecting these results the best is the marketing activities on some Andong salty mackerel products acquired HACCP certification. it is thought that a seafood's branding strategy should be established on distinctive branding strategies using reliable certification mark like HACCP based on the hygiene, the safety, and the quality.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.194-205
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• 2006

The purpose of this study is to develop a pedestrian multi-agent model and simulation system using multi-agent theory, which may be utilized as a planning support system for building a comfort and safe environment of pedestrian street. Differing from existing pedestrian models, however, every single pedestrian was regarded as an individual agent in the model. Multiple agents like multiple pedestrians in the street then maintain their own characteristics and respond to surrounding environment. In addition their moving behavior are made by their own decision rules that they have or had acquired through the interactive communications or learning between agents like real world. After verifying the model validation, as the $R^2$ between the predicted value and observed value was up to 0.781, the developed model was applied to Gazwa district within Gyeongsang university village. The simulation system was developed by Flash MX action scripts and the physical environment of the streets was configured with the digital map and ArcGis within computer virtual space. The attribute data of buildings such as type and size of commercial business were collected through the field survey and combined with physical features. Then the effect of the variation of building attractiveness and the occurrence of street events to pedestrian environment were simulated. Through the experiments this study could make suggestions to improve pedestrian environment.

• Geophysics and Geophysical Exploration
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• v.6 no.2
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• pp.57-63
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• 2003

For the dectection of small cavity in the hard rock, we investigated the feasibility of crosswell travel-time tomography and Kirchhoff migration technique. In travel-time tomography, first arrival anomaly caused by small cavity was investigated by numerical modeling based on the knowledge of actual field information. First arrival delay was very small (<0.125 msec) and detectable receiver offset range was limited to 4m with respect to $1\%$ normalized first arrival anomaly. As a consequence, it was turned out that carefully designed survey array with both sufficient narrow spatial spacing and temporal (<0.03125 msec) sampling were required for small cavity detection. Also, crosswell Kirchhoff migration technique was investigated with both numerical and real data. Stack section obtained by numerical data shows the good cavity image. In crosswell seismic data, various unwanted seismic events such as direct wave and various mode converted waves were alto recorded. To remove these noises und to enhance the diffraction signal, combination of median and bandpass filtering was applied and prestack and stacked migration images were created. From this, we viewed the crosswell migration technique as one of the adoptable method for small cavity detection.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.227-236
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• 2009

This study investigates the characteristics of cloud top brightness temperature (CTBT) of WV and IR1 from MTSAT-1R when lightning strikes in South Korea. For temporal and spatial collocations, lightnings, occurred only within ${\pm}5$ minutes from the six minutes added official satellite observation time (e.g., not 0600 UTC but 0606 UTC, considering the real scan time over South Korea), were selected. And the CTBTs corresponding to lightning spots were determined using the nearest pixel within 5 km. The brightness temperature difference (BTD, defined as WV - IR1) between two channels is negatively large when no lightning occurrs, whereas it increases up to positive values (sometimes, +5 K) and the largest frequency distributes around 225 K and 205 K in lightning cases. The probablistic approach for lightning frequency forecast, presented by Machado et al. (2008) in Southern America, was applied over South Korea and new exponential equations, with high coefficients of determination around 0.95 to 0.99, were developed using two channels' BTDs when lightning strikes. Moreover, a case study on 10th June, 2006, the largest number of lightning occurred between 2002 and 2006, was made. The major finding is that lightning activity is closely related to the dramatic decreases in BT and the increases in BTD (esp., equal to or larger than 0 K). Lightning frequency increases exponentially when BTD increases up to 0 K. Therefore, lightning forecast skill will be improved when the integrated strategy (synoptic background and satellite-based CTBT and BTD) is applied. It is believed that this study contributes to the application of the Korean first geostationary satellite (COMS), scheduled to launch at the end of this year, to severe weather detections.