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Drought Classification Method for Jeju Island using Standard Precipitation Index (표준강수지수를 활용한 제주도 가뭄의 공간적 분류 방법 연구)

  • Park, Jae-Kyu;Lee, Jun-ho;Yang, Sung-Kee;Kim, Min-Chul;Yang, Se-Chang
    • Journal of Environmental Science International
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    • v.25 no.11
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    • pp.1511-1519
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    • 2016
  • Jeju Island relies on subterranean water for over 98% of its water resources, and it is therefore necessary to continue to perform studies on drought due to climate changes. In this study, the representative standardized precipitation index (SPI) is classified by various criteria, and the spatial characteristics and applicability of drought in Jeju Island are evaluated from the results. As the result of calculating SPI of 4 weather stations (SPI 3, 6, 9, 12), SPI 12 was found to be relatively simple compared to SPI 6. Also, it was verified that the fluctuation of SPI was greater fot short-term data, and that long-term data was relatively more useful for judging extreme drought. Cluster analysis was performed using the K-means technique, with two variables extracted as the result of factor analysis, and the clustering was terminated with seven-time repeated calculations, and eventually two clusters were formed.

Introduction of the Structural Health Monitoring System with Fiber Optic Sensor & USN for Subway Station (광섬유센서 및 USN 기술의 지하역사 구조건전성 감시시스템 적용방안 연구)

  • Shin, Jeong-Ryol;Ahn, Tae-Ki;Lee, Woo-Dong;Han, Seok-Yoon
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.224-231
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    • 2008
  • A subway or an underground railway is one of the representative public transportations which lots of people take everyday. Then, subway station, which is also one of the very important public civil infrastructures, generally services for a long period of time. During the service time of stations, they are easily damaged from environmental corrosion, material aging, fatigue, and the coupling effects with long-term loads and extreme loads. Recently, civil construction work on the places near station often creates lots of damages to the station. As these damages accumulate, the performance of station degenerates due to the above factors. They would inevitably reduce the resisting capacity of station against the disaster; even they bring into the collapse of stations with the structural failure under long-term loads and extreme loads. And, if disaster such as earthquake, fire, etc. happens, it causes huge property damage and threatens the human lives. Because of these above reasons, the structural health monitoring system need to be developed for ensuring the safety of station. In this paper, the development directions of the structural health monitoring system with fiber optic sensor and USN for subway station are briefly described.

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Document Summarization Based on Sentence Clustering Using Graph Division (그래프 분할을 이용한 문장 클러스터링 기반 문서요약)

  • Lee Il-Joo;Kim Min-Koo
    • The KIPS Transactions:PartB
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    • v.13B no.2 s.105
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    • pp.149-154
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    • 2006
  • The main purpose of document summarization is to reduce the complexity of documents that are consisted of sub-themes. Also it is to create summarization which includes the sub-themes. This paper proposes a summarization system which could extract any salient sentences in accordance with sub-themes by using graph division. A document can be represented in graphs by using chosen representative terms through term relativity analysis based on co-occurrence information. This graph, then, is subdivided to represent sub-themes through connected information. The divided graphs are types of sentence clustering which shows a close relationship. When salient sentences are extracted from the divided graphs, summarization consisted of core elements of sentences from the sub-themes can be produced. As a result, the summarization quality will be improved.

Self-Supervised Long-Short Term Memory Network for Solving Complex Job Shop Scheduling Problem

  • Shao, Xiaorui;Kim, Chang Soo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.8
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    • pp.2993-3010
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    • 2021
  • The job shop scheduling problem (JSSP) plays a critical role in smart manufacturing, an effective JSSP scheduler could save time cost and increase productivity. Conventional methods are very time-consumption and cannot deal with complicated JSSP instances as it uses one optimal algorithm to solve JSSP. This paper proposes an effective scheduler based on deep learning technology named self-supervised long-short term memory (SS-LSTM) to handle complex JSSP accurately. First, using the optimal method to generate sufficient training samples in small-scale JSSP. SS-LSTM is then applied to extract rich feature representations from generated training samples and decide the next action. In the proposed SS-LSTM, two channels are employed to reflect the full production statues. Specifically, the detailed-level channel records 18 detailed product information while the system-level channel reflects the type of whole system states identified by the k-means algorithm. Moreover, adopting a self-supervised mechanism with LSTM autoencoder to keep high feature extraction capacity simultaneously ensuring the reliable feature representative ability. The authors implemented, trained, and compared the proposed method with the other leading learning-based methods on some complicated JSSP instances. The experimental results have confirmed the effectiveness and priority of the proposed method for solving complex JSSP instances in terms of make-span.

EER-ASSL: Combining Rollback Learning and Deep Learning for Rapid Adaptive Object Detection

  • Ahmed, Minhaz Uddin;Kim, Yeong Hyeon;Rhee, Phill Kyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.12
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    • pp.4776-4794
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    • 2020
  • We propose a rapid adaptive learning framework for streaming object detection, called EER-ASSL. The method combines the expected error reduction (EER) dependent rollback learning and the active semi-supervised learning (ASSL) for a rapid adaptive CNN detector. Most CNN object detectors are built on the assumption of static data distribution. However, images are often noisy and biased, and the data distribution is imbalanced in a real world environment. The proposed method consists of collaborative sampling and EER-ASSL. The EER-ASSL utilizes the active learning (AL) and rollback based semi-supervised learning (SSL). The AL allows us to select more informative and representative samples measuring uncertainty and diversity. The SSL divides the selected streaming image samples into the bins and each bin repeatedly transfers the discriminative knowledge of the EER and CNN models to the next bin until convergence and incorporation with the EER rollback learning algorithm is achieved. The EER models provide a rapid short-term myopic adaptation and the CNN models an incremental long-term performance improvement. EER-ASSL can overcome noisy and biased labels in varying data distribution. Extensive experiments shows that EER-ASSL obtained 70.9 mAP compared to state-of-the-art technology such as Faster RCNN, SSD300, and YOLOv2.

Text Mining of Wood Science Research Published in Korean and Japanese Journals

  • Eun-Suk JANG
    • Journal of the Korean Wood Science and Technology
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    • v.51 no.6
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    • pp.458-469
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    • 2023
  • Text mining techniques provide valuable insights into research information across various fields. In this study, text mining was used to identify research trends in wood science from 2012 to 2022, with a focus on representative journals published in Korea and Japan. Abstracts from Journal of the Korean Wood Science and Technology (JKWST, 785 articles) and Journal of Wood Science (JWS, 812 articles) obtained from the SCOPUS database were analyzed in terms of the word frequency (specifically, term frequency-inverse document frequency) and co-occurrence network analysis. Both journals showed a significant occurrence of words related to the physical and mechanical properties of wood. Furthermore, words related to wood species native to each country and their respective timber industries frequently appeared in both journals. CLT was a common keyword in engineering wood materials in Korea and Japan. In addition, the keywords "MDF," "MUF," and "GFRP" were ranked in the top 50 in Korea. Research on wood anatomy was inferred to be more active in Japan than in Korea. Co-occurrence network analysis showed that words related to the physical and structural characteristics of wood were organically related to wood materials.

Long-Term Trend Analysis of Nutrient Concentrations at Lake Paldang (팔당호의 영양염류 장기변동 추세분석)

  • Chang, Seung-Hyun;Chung, In-Young;Kim, Sung-Mi;Yang, Hee-Jung;Kim, Sung-Soo;Kong, Dong-Soo
    • Journal of Korean Society on Water Environment
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    • v.25 no.2
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    • pp.295-305
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    • 2009
  • The purpose of this study was to understand of water quality characteristics of lake Paldang, especially at a certain representative site, right in front of Paldang dam ($P_2$ site) and to propose the directions of water quality management of lake Paldang. Water characteristics at $P_2$ site was investigated by principle components analysis and the Pearson correlation coefficient analysis. Also, seasonality was identified by the Kruskal-Wallis test and long term trend of nutrients and chlorophyll-a was analyzed by seasonal decomposition method at lake Paldang statistically. The primary factor affecting on water quality at $P_2$ site was identified as nutrients, while physical parameters, such as rainfall and inflow rate were also important factors. At the result of linear regression analysis particulate organic phosphorus (POP) vs total phosphorus (TP) showed very high correlation of 0.78. TP loading was increased annually from 1995 to 2006. Chlorophyll-a and nutrients show seasonality at $P_2$ site. Long term trend of Chlorophyll-a was increased by increase of TP at lake Paldang.

Workers' Exposure to Airborne Methyl Bromide in the Exporting/Importing Plants and Products Quarantine Company (수출입 식물검역업체 근로자의 공기 중 Methyl Bromide 노출에 관한 연구)

  • Lee, Hyun Seok;Shin, Yong Chul
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.18 no.1
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    • pp.32-40
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    • 2008
  • Methyl bromide has been used as a representative fumigant for quarantine, and several poisoning cases have occurred recently by this chemical in Korea. The purpose of this study is to evaluate workers' exposures to airborne methyl bromide in the importing and exporting plant products quarantine companies. Air samples were collected 400/200 mg Anasorb 747TM and were analyzed by gas chromatograph /flame ionization detector according to the Occupational Safety and Health Agency (OSHA) Method PV2040. Geometric mean (GM) and arithmetic mean (AM) of total 27 workers' exposure concentrations to airborne methyl bromide were 1.12 ppm and 0.24 ppm, respectively. Two exposures(12.1 ppm and 12 ppm as 8hr-TWA) of total 27 workers' exposures exceeded the Korean standard (5 ppm) of Ministry Labor, while 4 exposures (15%) exceeded the Threshold Limit Value (TLV) (1 ppm) of American Conference of Governmental Industrial Hygienists (ACGIH). Seven samples (11%) of total 63 short-term air samples exceeded the OSHA Permissible Exposure Limit (PEL) 20 ppm (Ceiling). The opening (management) task in wood fumigation by tent showed the highest short-term exposure concentrations (AM: 18.6 ppm, GM: 0.58 ppm, maximum: 340.7 ppm). The maximum level in treatment task of the same process was 2.01 ppm. Methyl bromide concentrations in opening operation was significantly higher than that in treatment operation (p<0.05). In conclusion, the GM of workers' 8hr-TWA exposures to airborne methyl chloride in the importing/exporting plant quarantine industry was estimated below the ACGIH TLV (1 ppm). However, opening task in the fumigation of wood being covered with tent or fumigation of pant products in container showed the levels exceeding ACGIH TLV (1 ppm), and opening task in the fumigation of wood being covered with tent showed the level exceeding the Korean standard of Ministry of Labor (5 ppm).

A study on collecting and classifying the Chosen literatures and archives of Chosen General Government (조선총독부의 '조선도서 및 고문서'의 수집·분류 활동)

  • Lee, Seung-Il
    • The Korean Journal of Archival Studies
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    • no.4
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    • pp.93-130
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    • 2001
  • Chosen General Government initiated the activities of collecting and managing the archives from Chosen Dynasty because of necessity to push positively for its colonial policies. Particularly, such efforts of the regime resulted eventually in boosting their understanding on the Korea cultures, as well as contributed to their reigning Korea to an extent. Some aspects that reflect it are as follows. In 1910 Chosen General Government took over, and began to arrange and classify huge volumes of archives that were held by the royal family. During this period, they collected and arranged literatures that they took over from the earlier Korean government. In 1913, Chosen General Government increased enormously the varieties and volumes of the archives that they intended to collect. They started with collecting archives limited to those literatures that had existed in the civil sector before 1894. It can be noticed that just in 1913 Chosen General Government revealed their intention to collect and classify both royal archives and civil archives. With the work of collecting, classification and annotating archives, Chosen General Government commenced the compilation of Chosensa (Korean History). These efforts aimed at cultural assimilation and educating of Korean people, and in this process, the importance of Chosen Dynasty's archives was reconfirmed. One of the representative cases was a change of terminology. With the compilation efforts into full swing since 1915, Chosen General Government repeatedly started to use the term 'Saryo' (historical records) in connection with Chosen's literatures and archives. The term 'Saryo' previously had been used in Japanese literatures, and it is deemed that it was used as a term generally referring to archives of Chosen Dynasty from that time. This signifies that Chosen General Government began to involve their historical point of view in approaching to the archives of Chosen. As they broadened their understanding on Korea through the annotation of old literatures and compilation of Chosen History, they seriously set on the work of assimilating Korean people culturally aiming at gripping its reign on Korea. Archives of Chosen likewise were very crucial basic data for understanding Korea and its people, and Chosen General Government is deemed to have utilized the archives as a means to reign and assimilate Korean people.

Study on Design of Protest Song Metadata based on OAIS Reference Model (OAIS 참조모형 기반 민중가요 메타데이터 설계에 관한 연구)

  • Kang, Minjeong;Chang, Wookwon
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.1
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    • pp.211-230
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    • 2021
  • This study aims to design folk song metadata based on the OAIS reference model for the folk songs' preservation and permanent use. Thus, the folk songs' general characteristics were investigated by researching literature and related technical standards. The type of records, the methods and standards for long-term storage of records, OAIS reference models, and each package's metadata elements were identified through opinions from the popular songs' creators and researchers. The results awere that first, folk songs were created for social transformation, serving as a cultural heritage different from popular songs given their noncommercial quality. Second, the types of folk song records were identified, and the long-term preservation system suitable for the types of records was based on the OAIS reference model. Third, the metadata were edited, and the OIS reference model was applied such that respect was given to the folk songs' characteristics, context, and original order. Fourth and last, information package metadata elements matching the folk songs' records were derived and applied to the representative Korean folk song, "The March for Being."