• Journal of Navigation and Port Research
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• v.26 no.3
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• pp.329-336
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• 2002

Recently, in the whole fields of industry including shipping business, the conception and importance of Human Factor is very highly and frequently emphasized. But the domestic crew disaster including injury and illness in our shipping business shows higher accident rate than other shipping countries. Therefore the developing of measures to prevent/reduce the accident is highly required as the marine accident including crew disaster causes enormous loss of property and human life in size and scale. But, because the domestic data regarding the crew accident are relatively insufficient and rule, the developing of those measures has many difficulties. Therefore, this study is to make the concerning data for the useful reference by showing the trend and current situation of crew accidents, assorted by the crew's rank, type of the accident, injured part of the body, cause of the accident, type of ships and type of the works when the accident occurred, by using the each ocean-going shipping company's recent 5 years('95∼'99) data in korea.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.9 no.2
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• pp.25-56
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• 2005

Background and purpose: Gin Ga Chu Yo(診家樞要) was written in the year 1359 by Hwal Su(滑壽) who was a famous oriental doctor between Won(元) and Myeong(明) dynasty. As specialized in sphygmology(脈學), this book was brought together most things about sphygmology(脈學) before Won(元) dynasty by the author. Moreover he added the self-realized things to this book. Methods: In this book, besides a author's preface, there are all 20 chapters which are Chu Yo Hyeon Eon(樞要玄言), Jwa U Su Bae Jang Bu Bu Wi(左右手配臟腑部位), O Jang(五臟), Sa Si peong Maek(四時平脈), Nae Gyeong Sam Bu Maek Beop(內經三部脈法), Ho Heup Chim Bu Jeong O Jang Beop(呼吸沈浮定五臟法), In Ji Ha Gyeong Jung I Jeong 0 Jang Beop(因指下輕重以定五臟法), Sam Bu So Ju(三部所主), Ji Maek Su Beop(持脈手法), Maek Gwi Yu Sin(脈貴有神), Maek Eum Yang Yu Seong(脈陰陽類成), Gyeom Hyeon Maek Ryu(兼見脈類), Je Maek Ui Gi Ryu(諸脈宜忌類), Heom Je Sa Jeung Ryu(驗諸死症類), Sa Jeol Maek Ryu(死絶脈類), O Jang Dong Ji Maek(五藏動止脈), Bu In Maek Beop(婦人脈法), So A Maek Beop(小兒脈法), Maek Sang Tong Hoe(脈象統會), Maek Sang Ga(脈象歌) and an epilogue in the end. Result and Conclusion: Looking into this book, we can know that it is very detail in analyzing item by item, bright and simple in explaining and it is very useful in studying pulse evaluation(脈診). In his preface, Hwal Su(滑壽) expresses his opinion with firm confidence that ‘Do(道) of the World scattered in several scholarships and books of method and technique(方術). Nothing of method and technique(方術) is more important than medicine. Nothing of medicine goes before pulse evaluation(脈診).’ With such good reasons, as a student of sphygmology(脈學), I think this book is very valuable in studying pulse evaluation. So I add Hangul suffixes(吐) to a part of this book and translate it into Korean.

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.56-64
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• 2019

Planting intercropping in rubber plantations is another alternative for generating more income for farmers. However, farmers still lack the knowledge of choosing plants. In addition, information for decision making comes from many sources and is knowledge accumulated by the expert. Therefore, this research aims to create a decision support system for growing rubber trees for individual farmers. It aims to get the highest income and the lowest cost by using semantic web technology so that farmers can access knowledge at all times and reduce the risk of growing crops, and also support the decision supporting system (DSS) to be more intelligent. The integrated intercropping ontology and rule are a part of the decision-making process for selecting plants that is suitable for individual rubber plots. A list of suitable plants is important for decision variables in the allocation of planting areas for each type of plant for multiple purposes. This article presents designing and developing the intercropping ontology for DSS which defines a class based on the principle of intercropping in rubber plantations. It is grouped according to the characteristics and condition of the area of the farmer as a concept of the rubber plantation. It consists of the age of rubber tree, spacing between rows of rubber trees, and water sources for use in agriculture and soil group, including slope, drainage, depth of soil, etc. The use of ontology for recommended plants suitable for individual farmers makes a contribution to the knowledge management field. Besides being useful in DSS by offering options with accuracy, it also reduces the complexity of the problem by reducing decision variables and condition variables in the multi-objective optimization model of DSS.

• The KIPS Transactions:PartA
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• v.14A no.3 s.107
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• pp.133-140
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• 2007

The SWBF(shrink-wrapped boundary face) algorithm is a recent mesh reconstruction method for constructing a surface model from a set of unorganized 3D points. In this paper, we point out the surface duplication problem of SWBF and propose an improved mesh reconstruction scheme. Our method tries to classify the non-boundary cells as the inner cell or the outer cell, and makes an initial mesh without surface duplication by adopting the improved boundary face definition. To handle the directional unbalance of surface sampling density arise in typical 3D scanners, two dimensional connectivity in the cell image is introduced and utilized. According to experiments, our method is proved to be very useful to overcome the surface duplication problem of the SWBF algorithm.

• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.61-68
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• 2008

This paper presents a spam filter system using co-training with spamminess features and URL features based on the maximum entropy model. Spamminess features are the emphasizing patterns or abnormal patterns in spam messages used by spammers to express their intention and to avoid being filtered by the spam filter system. Since spammers use URLs to give the details and make a change to the URL format not to be filtered by the black list, normal and abnormal URLs can be key features to detect the spam messages. Co-training with spamminess features and URL features uses two different features which are independent each other in training. The filter system can learn information from them independently. Experiment results on TREC spam test collection shows that the proposed approach achieves 9.1% improvement and 6.9% improvement in accuracy compared to the base system and bogo filter system, respectively. The result analysis shows that the proposed spamminess features and URL features are helpful. And an experiment result of the co-training shows that two feature sets are useful since the number of training documents are reduced while the accuracy is closed to the batch learning.

• The KIPS Transactions:PartD
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• v.16D no.2
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• pp.223-236
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• 2009

BPMN is a standard business process description notation developed by OMG. It allows the user to have an abstract view of a process that hides its details with the Collapsed Sub-Process notation. While it is a useful direction of abstraction that can be called the horizontal abstraction, a different kind of abstraction, the vertical abstraction, is necessary when different stakeholders of business would like to have different views of the business process form their own viewpoints of interest. For example, stakeholders may want to see a process from the viewpoint of a particular group of actors or from the viewpoint of a certain set of goals. This paper first extends horizontal abstraction capability of BPMN by introducing the notion of super edge and, moreover, adds the vertical abstraction capability to it by introducing the notions of 'aspect attribute' and 'interest specification' and notations for them.

• The KIPS Transactions:PartD
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• v.16D no.5
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• pp.817-824
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• 2009

In recent years, Weblog has become the most typical social media for citizens to share their opinions. And, many Weblogs reflect several social issues. There are many internet users who actively express their opinions for internet news or Weblog articles through the replying comments on online community. Hence, we can easily find internet blogs including more than 10 thousand replying comments. It is hard to search and explore useful messages on weblogs since most of weblog systems show articles and their comments to the form of sequential list. In this paper, we propose a visualizing and clustering system called TRIB (Telescope for Responding comments for Internet Blog) for a large set of responding comments for a Weblog article. TRIB clusters and visualizes the replying comments considering their contents using pre-defined user dictionary. Also, TRIB provides various personalized views considering the interests of users. To show the usefulness of TRIB, we conducted some experiments, concerning the clustering and visualizing capabilities of TRIB, with articles that have more than 1,000 comments.

• The KIPS Transactions:PartB
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• v.15B no.3
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• pp.245-252
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• 2008

We present a classification algorithm based on ant colony system(ACS) for classifying digital images. The ACS has been recently emerged as a useful tool for the pattern recognition, image extraction, and edge detection. The classification algorithm of digital images is very important in the application areas of digital image coding, image analysis, and image recognition because it significantly influences the quality of images. The conventional procedures usually classify digital images with the fixed value for the associated parameters and it requires postprocessing. However, the proposed algorithm utilizing randomness of ants yields the stable and enhanced images even for processing the rapidly changing images. It is also expected that, due to this stability and flexibility of the present procedure, the digital images are stably classified for processing images with various noises and error signals arising from processing of the drastically fast moving images could be automatically compensated and minimized.

• Journal of Information Processing Systems
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• v.14 no.3
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• pp.680-693
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• 2018

Nowadays, third-party applications form an important part of the mobile environment, and social networking applications in particular can leave a variety of user footprints compared to other applications. Digital forensics of mobile third-party applications can provide important evidence to forensics investigators. However, most mobile operating systems are now updated on a frequent basis, and developers are constantly releasing new versions of them. For these reasons, forensic investigators experience difficulties in finding the locations and meanings of data during digital investigations. Therefore, this paper presents scenario-based methods of forensic analysis for a specific third-party social networking service application on a specific mobile device. When applied to certain third-party applications, digital forensics can provide forensic investigators with useful data for the investigation process. The main purpose of the forensic analysis proposed in the present paper is to determine whether the general use of third-party applications leaves data in the mobile internal storage of mobile devices and whether such data are meaningful for forensic purposes.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.121-126
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• 2006

In this paper, we propose an approach to increase the power of clustering Web images by using high-level semantic features from text information relevant to Web images as well as low-level visual features of image itself. These high-level text features can be obtained from image URLs and file names, page titles, hyperlinks, and surrounding text. As a clustering engine, self-organizing map (SOM) proposed by Kohonen is used. In the SOM-based clustering using high-level text features and low-level visual features, the 200 images from 10 categories are divided in some suitable clusters effectively. For the evaluation of clustering powers, we propose simple but novel measures indicating the degrees of scattering images from the same category, and degrees of accumulation of the same category images. From the experiment results, we find that the high-level text features are more useful in SOM-based Web image clustering.