• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.1
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• pp.19-24
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• 2021

This paper presents a method to generate three-dimensional AR/VR models using the information in Isogen data files (IDFs). An IDF is an output file produced by ISOGEN that contains piping isometric drawings. A piping isometric drawing is used for pipeline installation in the shipyard; therefore, the drawing describes assembly information with symbolic features, not with detailed geometric features. An IDF specifies relationships between piping routes and components with three-dimensional points and tag information as well as the bill of the materials of a pipeline. The key idea of this paper is that AR/VR models can be generated with the piping route points data and piping components tag information in real time, without any conversion of standard data exchange file formats, such as STP, IGES, and SAT. This paper describes IDF data structure and suggests the geometry generation process with IDF data and parametric functions.

• Journal of Arbitration Studies
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• v.32 no.1
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• pp.25-42
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• 2022

The modern arbitration practice recognises the need for a faster and simplified procedural framework for international disputes with fairly low amounts at stake. This has driven several institutions to expand their offer of procedural guidelines with a simplified set of rules that would fit this purpose. Expedited arbitration is increasingly used by parties and is growing in popularity. The basic idea behind establishing expedited arbitration rules is to create the possibility for the parties to a dispute to agree on a simplified and streamlined procedure and to have an arbitration award issued within a short period. The associated cost savings for the parties is another benefit. The importance of developing rules for expedited dispute resolution has recently also been considered by the UNCITRAL Working Group II, in light of the "increasing demand to resolve simple, low-value cases by arbitration" and "the lack of international mechanisms cope with such disputes." As a result, the UNCITRAL 2021 Expedited Arbitration Rules (UNCITRAL EAR) took effect on September 19, 2021. The EAR was adopted by the Commission on 21 July 2021 and, next to UNCITRAL's well-known instruments like the Arbitration Rules (UAR) and the Model Law, represent another chapter in the Commission's impactful work in the field of international arbitration. Overall, the UNCITRAL EAR has great potential to meet the need for more flexible and efficient arbitration proceedings, primarily because they provide the tribunal with strong managerial powers while still leaving room for consultation with the parties. However, parties must remember that not all disputes may be suitable for expedited arbitration, and disputes that are complex or have the possibility of being joint or consolidated may not benefit from simplified procedures and tight deadlines. This article will outline the core features and characteristics of the UNCITRAL EAR.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.10
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• pp.3438-3457
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• 2022

As location-based services (LBS) are widely used in vehicular ad-hoc networks (VANETs), location privacy has become an utmost concern. Spatial cloaking is a popular location privacy protection approach, which uses a cloaking area containing k-1 collaborative vehicles (CVs) to replace the real location of the requested vehicle (RV). However, all CVs are assumed as honest in k-anonymity, and thus giving opportunities for dishonest CVs to submit false location information during the cloaking area construction. Attackers could exploit dishonest CVs' false location information to speculate the real location of RV. To suppress this threat, an edge-assisted Trusted Collaborative Anonymity construction scheme called TCA is proposed with trust mechanism. From the design idea of trusted observations within variable radius r, the trust value is not only utilized to select honest CVs to construct a cloaking area by restricting r's search range but also used to verify false location information from dishonest CVs. In order to obtain the variable radius r of searching CVs, a multiple linear regression model is established based on the privacy level and service quality of RV. By using the above approaches, the trust relationship among vehicles can be predicted, and the most suitable CVs can be selected according to RV's preference, so as to construct the trusted cloaking area. Moreover, to deal with the massive trust value calculation brought by large quantities of LBS requests, edge computing is employed during the trust evaluation. The performance analysis indicates that the malicious response of TCA is only 22% of the collaborative anonymity construction scheme without trust mechanism, and the location privacy leakage is about 32% of the traditional Enhanced Location Privacy Preserving (ELPP) scheme.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.346-356
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• 2022

The jurisprudential legal rules govern the way Muslims react and interact to daily life. This creates a huge stream of questions, that require highly qualified and well-educated individuals, called Muftis. With Muslims representing almost 25% of the planet population, and the scarcity of qualified Muftis, this creates a demand supply problem calling for Automation solutions. This motivates the application of Artificial Intelligence (AI) to solve this problem, which requires a well-designed Question-Answering (QA) system to solve it. In this work, we propose a QA system, based on retrieval augmented generative transformer model for jurisprudential legal question. The main idea in the proposed architecture is the leverage of both state-of-the art transformer models, and the existing knowledge base of legal sources and question-answers. With the sensitivity of the domain in mind, due to its importance in Muslims daily lives, our design balances between exploitation of knowledge bases, and exploration provided by the generative transformer models. We collect a custom data set of 850,000 entries, that includes the question, answer, and category of the question. Our evaluation methodology is based on both quantitative and qualitative methods. We use metrics like BERTScore and METEOR to evaluate the precision and recall of the system. We also provide many qualitative results that show the quality of the generated answers, and how relevant they are to the asked questions.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.11
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• pp.809-817
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• 2022

The development of unmanned robots and UAVs has increased the need for path planning methods such as RRT^* algorithm. It mostly works well in various environments and is utilized in many fields. A lot of research has been conducted to obtain a better path in terms of efficiency through various modifications to the RRT^* algorithm, and the performance of the algorithm is continuously improved thanks to these efforts. In this study, a method using the limitation of sampling range is proposed as an extension of these efforts. Based on the idea that a path passing close to obstacles is similar to the optimal path in obstacle environments, nodes are produced around the obstacle. Also, rewiring algorithm is modified to quickly obtain the path. The performance of the proposed algorithm is validated by comparative analysis of the previous basic algorithm and the generated path is tracked by a UAV's kinematic model for further verification.

• Health Policy and Management
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• v.4 no.1
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• pp.138-175
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• 1994

The objectives of this study are (i) to review current situations and problems of the occupational health care system with emphasis on reforming the organizations and services, (ii) to find out a disirable occupational health system model based on integration of the occupational health system and the general health system, and finally, (iii) to suggest policy implications in occupational health services in the light of objectives of the newly emerging national health insurance reform in Korea. The major policy implications of this study are as follows: 1. In the long-run, within the occupational health system, preventive occupational health services such as employees' physical check-up, working environment examination, etc should financially be integrated with industrial accident compensation insurance. Currently separately paying expenses for each different category of services by the owner of an enterprise should be disbursed once through the payment of contributions of industrial accident compensation insurance. And then, it is necessary to strengthen and expand the role and function of industrial accident compensation insurance to cover preventive occupational health services. 2. The occupational health system should be integrated with general health system for its effective management. For the short-term policy, it is necessary to eliminate fiscal and access barrier between industrial accident compensation insurance and national health insurance by means of ex post facto settlement of accounts. The duplication of employees' physical check- ups between under the health insurance program and under the industrial health services must be coordinated in a manner either through mutual authorization by the two parties concerned or through merge into the health insurance. 3. The intent of current employees' physical check-up system focused on detection of occupational diseases, should be converted to an idea of medical surveillance system or biological moritoring system. The introduction of medical surveillance or biological monitoring system is a necessary condition to build a positive, effective and inexpensive occupational health care system.

• Journal of International Area Studies (JIAS)
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• v.12 no.4
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• pp.23-65
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• 2009

This study originates from the examination of both Soviet Russia's and contemporary Russia's tabula rasa that numerous comprehensive national exertions have been trying to overcome, relying on the creation of numerous national emblems, political symbols, and even folkloric materials. With this mind, this work substantiates how the political and cultural symbols have been created in the contemporary socio-political and socio-cultural discourse in Russia. As with the political symbols that most recently been studied by Lee Trepanier, it must be recognized that contemporary social movements and political discourses have failed to "articulate a concrete political vision that reflects a consensus among elites, nor have any gained popular support" as the author confessed already. Concomitant to this general consensus, as Roy Medvedev has put it, we can contend that "today's leaders in Russia have no new ideology, and the mass of the people have no strong new national idea."

• The Journal of Economics, Marketing and Management
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• v.5 no.2
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• pp.10-32
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• 2017

The landscape of corporate reporting is changing quickly. The concepts, elements and principles that characterize the way organizations plan, manage and report their annual performances are currently being questioned, debated, and redesigned throughout the world. However, widening the scope of corporate performance and reporting is a major issue. Research needs to bridge the gap between social and financial performance by considering corporate performance in a wider perspective. At base, IR is a relatively new but powerful idea: enhancing the way organizations think, plan and report the story of their business. Organizations are using IR to communicate a clear, concise, integrated story that explains how all of their resources are creating value. This paper examines the rise of what has been widely claimed to represent a new and striking future for corporate reporting, namely the notion of "Integrated Reporting" (IR). Unfortunately, there is poor empirical research work undertaken which has focused on published integrated reports. This research study provides initial analysis of the content and structure of the corporate integrated reports published in 2013 and available on the International Integrated Reporting Council (IIRC) Emerging Examples Database. As part of this study, Integrated Reports were analyzed for company information, report information and report content. Moreover, they were also evaluated as to the extent these adhered to the integrated reporting (IR) Guiding Principles, Content Elements, and the multiple capitals model. Findings of this study indicate that "early integrated reports were mostly lengthy, fail to adhere to all the guiding principles, and covered four of the six capitals suggested." At present, no universally accepted global framework for IR exists and it is still largely a voluntary practice. We believe that IR of both financial and non-financial performance should be made mandatory, and it should become a universal practice for all the global listed companies within the next 5-10 years.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.225-234
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• 2023

In this era of information and communication technology (ICT), tremendous improvements have been witnessed in our daily lives. The impact of these technologies is subjective and negative or positive. For instance, ICT has brought a lot of ease and versatility in our lifestyles, on the other hand, its excessive use brings around issues related to physical and mental health etc. In this study, we are bridging these both aspects by proposing the idea of AI based mental healthcare (AIMS). In this regard, we aim to provide a platform where the patient can register to the system and take consultancy by providing their assessment by means of a chatbot. The chatbot will send the gathered information to the machine learning block. The machine learning model is already trained and predicts whether the patient needs a treatment by classifying him/her based on the assessment. This information is provided to the mental health practitioner (doctor, psychologist, psychiatrist, or therapist) as clinical decision support. Eventually, the practitioner will provide his/her suggestions to the patient via the proposed system. Additionally, the proposed system prioritizes care, support, privacy, and patient autonomy, all while using a friendly chatbot interface. By using technology like natural language processing and machine learning, the system can predict a patient's condition and recommend the right professional for further help, including in-person appointments if necessary. This not only raises awareness about mental health but also makes it easier for patients to start therapy.

• Industry Promotion Research
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• v.9 no.3
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• pp.87-100
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• 2024

This study approached the factors affecting companies's sustainable growth by overcoming the valley of death after starting a business from the perspective of technology, market, location, cluster, and INC model, and conducted a case study on success and failure companies in Daedeok Cluster to explore the adequacy and suitability of the main factors of previous studies. The results of this study suggest that location accessibility-based collaboration between innovators is important for the growth of companies in the cluster, and balanced growth such as innovative ideas, market needs, and capability to meet needs is necessary for companies' products and services to create innovative value in the market. This study is worth in that it presents factors for sustainable corporate growth through the analyses of success and failure cases for companies in the Daedeok Cluster. In addition, the research is successful in that it proposed a policy support plan based on collaboration among companies to foster companies in the cluster.