• Journal of Arbitration Studies
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• v.32 no.2
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• pp.3-30
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• 2022

On 27 October the Supreme Court of UK handed down its much anticipated decision in Kabab-Ji SAL (Lebanon) v Kout Food Group (Kuwait) [2021] UKSC 48. The issues for the Supreme Court to decide were as follows: (1) which law governed the validity of the arbitration agreement; (2) if English law applied, whether, as a matter of English law, there was any real prospect that a court might find that KFG became a party to the arbitration agreement, and (3) whether, procedurally, the Court of Appeal was correct in giving summary judgment refusing recognition and enforcement the award, or whether there should have been a full rehearing of whether there was a valid and binding arbitration agreement for the purposes of the New York Convention and the AA 1996 (the 'procedural' issue) The decision in Kabab-Ji provides further reassuring clarity on how the governing law of the arbitration agreement is to be determined under English law where the governing law is not expressly stated in the arbitration agreement itself. The Supreme Court's reasoning is consistent with its earlier decision on the same issue, albeit in the context of enforcement pursuant to the New York Convention, rather than considering the arbitration agreement before an award is rendered. This paper presents some implications of Kabab-Ji case. Also, it seeks to provide a meaningful discussion and theories on the arbitration system in Korea.

• Journal of Korea Port Economic Association
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• v.37 no.1
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• pp.87-101
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• 2021

The Korea Port Economics Association was established in 1985 and has been operated for academic research on port economics and research on port logistics. Marking the 35th anniversary of its establishment, it is necessary to establish a new development strategy for academic societies and academic journals. This study analyzed the current status of publication of the Journal of Korea Port Economic Association, from the first issue of 2017 to the December issue of 2019, the utilization and systematic nature of this journal, and the efforts implemented to improve the quality of the journal. The recognition, utilization, and subject inconsistencies were analyzed to determine the academic value of the journal. The findings suggested the journal's academic excellence, as evidenced by its highest ranking by Journal Impact Factor among agro-oceanography journals (among 77 journals) and marine transport journals (among four journals). Further, the direction of development for this academic journal was presented with reference to research characteristics and specialization efforts.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.177-184
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• 2016

Since 1980s, 30 years has passed after issues on environmental refugee began to appear. However, why environmental refugee is not considered as refugee officially in international society? Above all, it seems that main point is the responsibility given to those developed countries if they, whom led the climate changes, officially acknowledge environmental refugee. The problem is that environmental refugee has no direct responsibility for causing climate changes. Actually. the responsibility should be granted to the developed and industrialized countries which caused climate changes. In accordance to the refugee protection system established under current international law, it is difficult to include them into refugee category and thus, they can hardly have enough support. It is urgently needed that new refugee treat which have the new standard and solution added to it shall be adopted. To allow new refugee treat to be effective it is compulsory to have constant and binding policy determination and willingness of execution from a united international organization. Of course, before this, countries should try to have common recognition on recognizing new refugee problem and its seriousness as well as solving those problems together. In reality, it is worth considering adoption of semi-forceable type of system as a more effective way, which allocates responsibility of accepting refugee by amount of carbon emitted. Also, as refugee issue has an important influence on mother company and the third countries, execution process of the system has to be defined clearly. For those permanent organizations, they should accurately define environmental factors making refugee and set standards to minimize possibility of abuse and misuse.

• Smart Structures and Systems
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• v.21 no.4
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• pp.421-433
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• 2018

Carbon fiber reinforced polymer (CFRP) cable has good mechanical properties and corrosion resistance. However, the anchorage of CFRP cable is a big issue due to the anisotropic property of CFRP material. In this article, a high-efficient bonding anchorage with novel configuration is developed for CFRP cables. The acoustic emission (AE) technique is employed to evaluate the performance of anchorage in the fatigue test and post-fatigue ultimate bearing capacity test. The obtained AE signals are analyzed by using a combination of unsupervised K-means clustering and supervised K-nearest neighbor classification (K-NN) for quantifying the performance of the anchorage and damage evolutions. An AE feature vector (including both frequency and energy characteristics of AE signal) for clustering analysis is proposed and the under-sampling approaches are employed to regress the influence of the imbalanced classes distribution in AE dataset for improving clustering quality. The results indicate that four classes exist in AE dataset, which correspond to the shear deformation of potting compound, matrix cracking, fiber-matrix debonding and fiber fracture in CFRP bars. The AE intensity released by the deformation of potting compound is very slight during the whole loading process and no obvious premature damage observed in CFRP bars aroused by anchorage effect at relative low stress level, indicating the anchorage configuration in this study is reliable.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.25 no.4
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• pp.433-445
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• 2015

Objectives: The major objectives of this study are to review the issues surrounding trade secret claims in the Chemicals Control Act and Amendment on Occupational Safety and Health Act(1917-227) and to propose a way of improving the reliability of chemical information in MSDSs, labels and National Chemical Survey results. Materials: To review the issues on trade secret claims, we made an analysis frame which was divided into three steps: Value and Problem Recognition; New Regulation Design; and Enforcement and Amendment. We then compared Korean issues with issues from the United States' Hazard Communication Standard and Emergency Planning & Community Right-to-Know Act, Canada's Workplace Hazardous Materials Information System and Hazardous Materials Information Review Act and the European Union's Regulation on Classification, Labelling and Packaging of substances and Mixtures. Results: The stage of right-to-know development in Korea has passed the Value and Problem Recognition phase, so efforts are needed to elaborately design new regulation. Conclusions: We recommend two ways to improve right-to-know in Korea. First, strict examination of the quality of documents for trade secret claims is very important. Second, trade secrets should be limited to less-hazardous substances.

• Journal of the Korea Society of Computer and Information
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• v.3 no.1
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• pp.95-112
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• 1998

The Error Backpropagation algorithm is widely used in various areas such as associative memory, speech recognition, pattern recognition, robotics and so on. However, if and when a new leaning pattern has to be added in order to drill, it will have to accomplish a new learning with all previous learning pattern and added pattern from the very beginning. Somehow, it brings about a result which is that the more it increases the number of pattern, the longer it geometrically progress the time required by leaning. Therefore, a so-called Incremental Learning Method has to be solved the point at issue all by means in case of situation which is periodically and additionally learned by numerous data. In this study, not only the existing neural network construction is still remained, but it also suggests a method which means executing through added leaning by a model pattern. Eventually, for a efficiency of suggested technique, both Monk's data and Iris data are applied to make use of benchmark on machine learning field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.800-816
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• 2018

In recent years, video surveillance research has been able to recognize various behaviors of pedestrians and analyze the overall situation of objects by combining image analysis technology and deep learning method. Human Activity Recognition (HAR), which is important issue in video surveillance research, is a field to detect abnormal behavior of pedestrians in CCTV environment. In order to recognize human behavior, it is necessary to detect the human in the image and to estimate the pose from the detected human. In this paper, we propose a novel approach for 2D Human Pose Estimation based on object detection using RGB-D information. By adding depth information to the RGB information that has some limitation in detecting object due to lack of topological information, we can improve the detecting accuracy. Subsequently, the rescaled region of the detected object is applied to ConVol.utional Pose Machines (CPM) which is a sequential prediction structure based on ConVol.utional Neural Network. We utilize CPM to generate belief maps to predict the positions of keypoint representing human body parts and to estimate human pose by detecting 14 key body points. From the experimental results, we can prove that the proposed method detects target objects robustly in occlusion. It is also possible to perform 2D human pose estimation by providing an accurately detected region as an input of the CPM. As for the future work, we will estimate the 3D human pose by mapping the 2D coordinate information on the body part onto the 3D space. Consequently, we can provide useful human behavior information in the research of HAR.

• Journal of KIISE
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• v.43 no.11
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• pp.1307-1314
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• 2016

Virtual Hangul keyboards like Chun-Ji-In, Narat-Gul, and QWERTY are based on eyesight recognition, in which input letter positions are fixed in the smartphone environment. The input method of a fixed-position style is not very convenient for visually impaired individuals. In order to resolve the issue of inconvenience of the Hangul input system, we propose a new paradigm of the finger-touch based Hangul input system that does not need eyesight recognition of input buttons. For the convenience of learning the touch-motion based keyboard, finger touches are designed by considering the shape and frequencies of Hangul vowels and consonants together with the preference of fingers. The base position is decided by the first touch of the screen, and the finger-touch keyboard is used in the same way for all the other touch-style devices, regardless of the differences in size and operation system. In this input method, unique finger-touch motions are assigned for Hangul letters that significantly reduce the input errors.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.17-24
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• 2019

The biggest problem in the AI field, which has become a hot topic in recent years, is how to deal with the lack of training data. Since manual data construction takes a lot of time and efforts, it is non-trivial for an individual to easily build the necessary data. On the other hand, automatic data construction needs to handle data quality issue. In this paper, we introduce a method to automatically extract the data required to develop Korean speech command recognizer from the web and to automatically select the data that can be used for training data. In particular, we propose a modified ResNet model that shows modest performance for the automatically constructed Korean speech command data. We conducted an experiment to show the applicability of the command set of the health and daily life domain. In a series of experiments using only automatically constructed data, the accuracy of the health domain was 89.5% in ResNet15 and 82% in ResNet8 in the daily lives domain, respectively.

• Korean Journal of Human Ecology
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• v.20 no.2
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• pp.427-437
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• 2011

This study was conducted to investigate the utilization, recognition, and satisfaction of environment-friendly agricultural products (EAPs) in school food services according to the type of foodservice in the Jeonbuk area. Among the 270 school food service providers evaluated, 56.3% of the schools were located in an urban area and 43.7% were in a rural area. About 80% of urban schools used the EAPs for school foodservice, and 89.8% in rural schools (p<.05). The purchase frequency of grain (p<.01), fruits (p<.05), and processed foods (e.g. Tofu) (p<.001) was significantly different between the urban and rural schools. The perception of school dietitians in urban and rural schools between the EAPs and general agricultural products was significantly different (p<.05). The most different fact was 'safety' (p<.001). Most school dietitians has a gut understanding and a lot of confidence about the system of EAPs (p<0.01). The satisfaction score with EAPs was 3.35; in the urban schools it was 3.36 and in the rural schools 3.12 (p<.01). The satisfaction with EAPs in urban and rural schools was significantly different with regard to several factors; these were 'design' (p<.05), 'color' (p<.001), 'fresh' (p<.001), and 'diversity' (p<.01). There are conflicting views between the urban and rural schools for the additional costs brought by using EAPs (p<.01). In conclusion, our central and local governments should change their roles in financially positive ways and reflect the issue to make the policy effective.