• Journal of the Korean Home Economics Association
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• v.50 no.3
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• pp.59-67
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• 2012

The purpose of this study is to investigate the recognition of international marriage immigrants among college students. It is also aimed to provide a positive insight on international marriage immigrants of college students. This study was used as a descriptive research design. Participants of this study were 468 college students from South Jeollanam Province. Descriptive statistics by using SPSS program(version 12.0) were used for the analysis of the collected data. Important findings were as follows: The mean recognition of the international marriage immigrants was nearer to the moderate level. The recognition of the international marriage immigrants was significantly influenced by korean characteristics of homogeneous nation which shows the importance of blood relationship. Thus it was found out that when considering how to raise the recognition of international marriage immigrants positively, both the characteristics of homogeneous nation and blood relationship are important factors to consider.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.83-91
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• 2017

Climate change has been identified as one with the greatest challenges facing nations, government, business and over future decades. Activities to reduce greenhouse gas emissions by the Kyoto Protocol, the international community has been in progress. Korea also has introduced the Emission trading system to reduce greenhouse emission from the supervision of the government. Greenhouse gases emissions quantity should be internationally recognized. Mutual Recognition Arrangement should be recognized as the same greenhouse gas emission. International recognition of domestic verification body of international mutual recognition is required. Efforts are needed to secure the equivalence between the emission rights through direct cooperation with the relative nation accreditation body. Early entry into the IAF/PAC GHG MLA is essential for demonstrating equivalence between greenhouse gas emissions. Emissions trading will also require connection to the EU ETS, California, USA, and Tokyo, Japan to link Emissions trading. In the case of establishing accreditation standards and accreditation criteria, it will be necessary to distinguish between the domestic Energy Target Management System and the Emission Trading System. Independent greenhouse gases verification bodies should be established to meet the requirements of IAF and PAC. It is necessary to revise the qualification criteria for the verification of the greenhouse gas verification body according to international standards requirements. It is necessary to support the role of accreditation bodies of domestic greenhouse gas verification bodies. It is required to join international organizations of international mutual recognition of international trade and the need for pilot projects to link greenhouse gas emissions. The core link to our emission trading system is called EU-ETS, and we will need to join the IAF/PAC GHG MLA GHG. The International Mutual Recognition Agreement (IAF) is expected to allow international interoperability of GHG emissions verification between EA and the PAC. By signing a PAC GHG MLA, it will need to be prepared to prepare for the pilot project to link the emission trading system.

• Journal of Arbitration Studies
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• v.25 no.2
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• pp.19-47
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• 2015

International arbitration is an increasingly popular means of alternative dispute resolution for cross-border commercial transactions. The primary advantage of international arbitration over court litigation is enforceability. An international arbitration award is enforceable in most countries in the world. Especially, statistics indicate of ASEAN such as Malaysia and Singapore that the vast majority of defeated companies comply with the terms of international arbitral awards against them or settle soon after the award is rendered. Unlike Malaysia and Singapore, in Indonesia, there are several grounds for refusal of enforcement of an award including where both the nature of the dispute and the agreement to arbitrate do not meet the requirements set out in the Arbitration Law. Because Indonesia does not acknowledge decisions of foreign courts, theoretically they could enforce an international arbitral award which was set aside by the court in the seat of arbitration. This paper introduces the legal system and cases of recognition and enforcement of foreign arbitration awards in ASEAN, especially Malaysia, Singapore, and Indonesia. Secondly, by comparing their law and cases, the paper emphasized the international suitability and global fitness in involved in recognition and enforcement of foreign arbitration awards.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.280-286
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• 2022

Facial recognition system is a biometric manipulation. Its applicability is simpler, and its work range is broader than fingerprints, iris scans, signatures, etc. The system utilizes two technologies, such as face detection and recognition. This study aims to develop a facial recognition system to recognize person's faces. Facial recognition system can map facial characteristics from photos or videos and compare the information with a given facial database to find a match, which helps identify a face. The proposed system can assist in face recognition. The developed system records several images, processes recorded images, checks for any match in the database, and returns the result. The developed technology can recognize multiple faces in live recordings.

• Journal of International Society for Simulation Surgery
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• v.2 no.2
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• pp.64-66
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• 2015

Purpose : In this paper we proposed cascade feature filter and projection method for rapid human face recognition for the large-scale high-dimensional face database. Materials and Methods : The relevant features are selected from the large feature set using Fast Correlation-Based Filter method. After feature selection, project them into discriminant using Principal Component Analysis or Linear Discriminant Analysis. Their cascade method reduces the time-complexity without significant degradation of the performance. Results : In our experiments, the ORL database and the extended Yale face database b were used for evaluation. On the ORL database, the processing time was approximately 30-times faster than typical approach with recognition rate 94.22% and on the extended Yale face database b, the processing time was approximately 300-times faster than typical approach with recognition rate 98.74 %. Conclusion : The recognition rate and time-complexity of the proposed method is suitable for real-time face recognition system on the large-scale high-dimensional face database.

• International Journal of Advanced Culture Technology
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• v.7 no.3
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• pp.134-142
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• 2019

As the 4th industry has been widely distributed, there is a need for a process of real-time image recognition in various fields such as identification of company employees, security maintenance, and development of military weapons. Therefore, in this paper, we will propose an algorithm that effectively recognizes a test object by comparing it with the DB model. The proposed object recognition system first expresses the outline of the test object as a set of vertices with the distances of predefined length or more. Then, the degree of matching of the structures of the two objects is calculated by examining the distances to the outline of the DB model from the vertices constituting the test object. Because the proposed recognition algorithm uses the outline of the object, the recognition process is easy to understand, simple to implement, and a satisfactory recognition result is obtained.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.125-139
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• 2023

Facial expression recognition, a topical problem in the field of computer vision and pattern recognition, is a direct means of recognizing human emotions and behaviors. This paper first summarizes the datasets commonly used for expression recognition and their associated characteristics and presents traditional machine learning algorithms and their benefits and drawbacks from three key techniques of face expression; image pre-processing, feature extraction, and expression classification. Deep learning-oriented expression recognition methods and various algorithmic framework performances are also analyzed and compared. Finally, the current barriers to facial expression recognition and potential developments are highlighted.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.62
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• pp.87-109
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• 2014

This article examines the regime for the recognition, enforcement and execution of arbitral awards rendered under the auspices of the International Centre for Settlement of Investment Disputes(ICSID). The effectiveness of international arbitration depends on the degree of finality of the award and the ease with which the award may be enforced by the prevailing part. The ICSID Convention provides for rigorous finality and seeks to establish optimal preconditions for the enforcement of awards in manner that distinguishes ICSID from other international arbitral regimes. As with other classes of disputes subject to judical or arbitral jurisdiction, most ICSID cases settle. In the cases that do proceed to award, participants must understand what will happen if the losing party fails to comply with the award voluntarily and the prevailing party takes the award through phases known as "recognition", "enforcement" and "execution". Investors should assess possible execution before finalizing investments and certainly before they initiate collection proceedings on ICSID awards. An investor with a monetary award in hand should attempt to locate assets of the losing State and then obtain comparative law advice to identify jurisdictions that allow attachment of at least certain categories of sovereign assets.

• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.229-235
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• 2019

Due to the development of video and optical technology today, video equipments are being used in a variety of fields such as identification, security maintenance, and factory automation systems that generate products. In this paper, we investigate an algorithm that effectively recognizes an experimental object in an input image with a partial problem due to the mechanical problem of the input imaging device. The object recognition algorithm proposed in this paper moves and rotates the vertices constituting the outline of the experimental object to the positions of the respective vertices constituting the outline of the DB model. Then, the discordance values between the moved and rotated experimental object and the corresponding DB model are calculated, and the minimum discordance value is selected. This minimum value is the final discordance value between the experimental object and the corresponding DB model, and the DB model with the minimum discordance value is selected as the recognition result for the experimental object. The proposed object recognition method obtains satisfactory recognition results using only partial information of the experimental object.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.129-138
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• 2022

With the increasing reliance of computing systems in our everyday life, there is always a constant need to improve the ways users can interact with such systems in a more natural, effective, and convenient way. In the initial computing revolution, the interaction between the humans and machines have been limited. The machines were not necessarily meant to be intelligent. This begged for the need to develop systems that could automatically identify and interpret our actions. Automatic gesture recognition is one of the popular methods users can control systems with their gestures. This includes various kinds of tracking including the whole body, hands, head, face, etc. We also touch upon a different line of work including Brain-Computer Interface (BCI), Electromyography (EMG) as potential additions to the gesture recognition regime. In this work, we present an overview of several applications of automated gesture recognition systems and a brief look at the popular methods employed.