• Journal of Trauma and Injury
• /
• v.31 no.3
• /
• pp.159-165
• /
• 2018

Purpose: Spinning-induced rhabdomyolysis (SIR) has been increasing in recent years and accounts for a large proportion of exercise-induced rhabdomyolysis (EIR). The purpose of this study was to compare the clinical features between SIR and non-spinning exercise-induced rhabdomyolysis (NSIR), and to analyze each of these clinical features. Methods: A retrospective chart review was conducted on patients treated due to EIR from January 2006 to March 2018. Patients were divided into the SIR and NSIR groups, and their clinical factors, outcome, and blood chemistries were compared and analyzed. Results: Sixty-two patients were enrolled in this study, with 23 (37.1%) and 39 (62.9%) patients categorized in the SIR and NSIR groups, respectively. The SIR group were mostly women (78.3% vs. 38.5%, p=0.002), more frequent EIR occurrence in the first exercise class (60.9% vs. 15.4%, p=0.001), and had most complaints of thigh pain (91.3% vs. 43.6%, p=0.001). The SIR group had a higher incidence rate despite its shorter exercise duration (90.5% vs. 62.9%, p=0.024), longer hospital stay (6.0 [4.5-7.0] vs. 5.0 [3.5-6.0] days, p=0.080), and higher rate of peak CPK (15,000 U/L or higher) (91.3% vs. 74.4%, p=0.182) compared to the NSIR group. Conclusions: SIR occurs at a higher rate during the first exercise class in women compared to NSIR, and the incidence rate is higher in SIR than in NSIR despite its shorter exercise duration (less than 60 minutes). It is necessary to recognize these risks during spinning exercises and to perform these exercises sequentially and systematically.

• The Journal of the Korea Contents Association
• /
• v.19 no.6
• /
• pp.481-490
• /
• 2019

The purpose of this paper is to recognize and embody the implications of the concept of interactivity. Among the many types of interactivity already proposed, this paper sheds light especially on the so-called contingent interactivity. The contingency means a condition in which a particular performance or selection of a subject is considered neither necessary nor conclusive, and also the potential for various activities of this subject. The contingent interaction comes into being when the involvements of users in dealing with a message or content are experimental or creative. The interaction does not orient toward the completion of content or the immersion to a particular reality. Rather, the results of a user's contingent performance are not the finalized content and have characteristics that lead to the continuous modification. In order to embody this meaning of contingent interactivity, the paper examined the two example, the film re-cut and game modding. In both cases, it is comprehensive that the user of these two new media activities lies in the contingent situation.

• Database Research
• /
• v.34 no.3
• /
• pp.45-57
• /
• 2018

The drowsiness that occurs in the driving is a very dangerous driver condition that can be directly linked to a major accident. In order to prevent drowsiness, there are traditional drowsiness detection methods to grasp the driver's condition, but there is a limit to the generalized driver's condition recognition that reflects the individual characteristics of drivers. In recent years, deep learning based state recognition studies have been proposed to recognize drivers' condition. Deep learning has the advantage of extracting features from a non-human machine and deriving a more generalized recognition model. In this study, we propose a more accurate state recognition model than the existing deep learning method by learning image and PPG at the same time to grasp driver's condition. This paper confirms the effect of driver's image and PPG data on drowsiness detection and experiment to see if it improves the performance of learning model when used together. We confirmed the accuracy improvement of around 3% when using image and PPG together than using image alone. In addition, the multimodal deep learning based model that classifies the driver's condition into three categories showed a classification accuracy of 96%.

• The Journal of Information Systems
• /
• v.30 no.1
• /
• pp.65-84
• /
• 2021

Purpose Based on the development of artificial intelligence and big data technologies, the RegTech has been emerged to reduce regulatory costs and to enable efficient supervision by regulatory bodies. The word RegTech is a combination of regulation and technology, which means using the technological methods to facilitate the implementation of regulations and to make efficient surveillance and supervision of regulations. The purpose of this study is to describe the recent adoption of RegTech and to provide basic examples of applying RegTech to capital market regulations. Design/methodology/approach English-based ontology and deep learning technologies are quite developed in practice, and it will not be difficult to expand it to European or Latin American languages that are grammatically similar to English. However, it is not easy to use it in most Asian languages such as Korean, which have different grammatical rules. In addition, in the early stages of adoption, companies, financial institutions and regulators will not be familiar with this machine-based reporting system. There is a need to establish an ecosystem which facilitates the adoption of RegTech by consulting and supporting the stakeholders. In this paper, we provide a simple example that shows a procedure of applying RegTech to recognize and interpret Korean language-based capital market regulations. Specifically, we present the process of converting sentences in regulations into a meta-language through the morpheme analyses. We next conduct deep learning analyses to determine whether a regulatory sentence exists in each regulatory paragraph. Findings This study illustrates the applicability of RegTech-based ontology and deep learning technologies in Korean-based capital market regulations.

• Electronics and Telecommunications Trends
• /
• v.36 no.1
• /
• pp.89-98
• /
• 2021

The Ministry of National Defense aims to create an environment in which transparent and reasonable defense policies can be implemented in real time by establishing the vision of smart defense innovation based on the Fourth Industrial Revolution and promoting innovation in technology-based defense operation systems. Artificial intelligence (AI) based defense technology is at the level of basic research worldwide, includes no domestic tasks, and involves classified military operation data and command control/decision information. Further, it is needed to secure independent technologies specialized for our military. In the army, military power continues to decline due to aging and declining population. In addition, it is expected that there will be more than 500,000 units should be managed simultaneously, to recognize the battle situation in real time on the future battlefields. Such a complex battlefield, command decisions will be limited by the experience and expertise of individual commanders. Accordingly, the study of AI core technologies supporting real-time combat command is actively pursued at home and abroad. It is necessary to strengthen future defense capabilities by identifying potential threats that commanders are likely to miss, improving the viability of the combat system, ensuring smart commanders always win conflicts and providing reasonable AI digital staff based on data science. This paper describes the recent research trends in AI military staff technology supporting commander decision-making, broken down into five key areas.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.49 no.1
• /
• pp.63-73
• /
• 2021

This paper presents a algorithm for automatic target recognition robust to the influence of the flame in order to track the target by EOTS(Electro-Optical Targeting System) equipped on UAV(Unmanned Aerial Vehicle) when there is aerial target or marine target with flame at the same time. The proposed method converts infrared images of targets and flames into a gradient vector field, and applies each gradient magnitude to a polynomial curve fitting technique to extract polynomial coefficients, and learns them in a shallow neural network model to automatically recognize targets and flames. The performance of the proposed technique was confirmed by utilizing the various infrared image database of the target and flame. Using this algorithm, it can be applied to areas where collision avoidance, forest fire detection, automatic detection and recognition of targets in the air and sea during automatic flight of unmanned aircraft.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.3
• /
• pp.905-915
• /
• 2021

This study examines the relationship between financial behavior, financial literacy, self-efficacy, and self-coping among emerging adults. The study population is 790 respondents from 11 Credit Counselling and Debt Management (CCDM). Statistical Package for Social Science (SPSS) was used to analyze Pearson Correlation and Multiple regression. It was used to determine the relationships and recognize determinants of emerging adults' financial behavior respectively. In this study, financial literacy, self-efficacy, self-coping, and financial behavior variables were entered into the regression. A total of 790 respondents aged 40 and below were selected. An independent sample t-test was administered to compare the financial behavior scores for females and males. The results reveal that there was significant difference in the mean of financial behavior scores for females (M = 87.20, SD = 18.00) and males (M = 89.70, SD = 16.80; t (765) = 2.010, p = 0.045, two-tailed). The multiple regression results indicate that the model explained 13.4% of the variance in financial behavior, which is predicted significantly by the model (F = 38.361, p = 0.000). This study will be beneficial to policymakers to improve living conditions and to promote good financial behavior, financial literacy, self-efficacy as well as self-coping especially for emerging adults in Malaysia.

• Korea Trade Review
• /
• v.44 no.2
• /
• pp.95-107
• /
• 2019

The ICSID arbitral tribunal shall determine the suitability of investors in accordance with the Article 25 of the ICSID convention and the investment or investor's provisions under the BIT. The eligibility of investors has an important role in establishing jurisdiction under international investment disputes. Therefore, this study draws implications on issues related to investor qualification, focusing on ICSID arbitration. The investor's nationality shall be taken into consideration in determining whether the investor is eligible. The criteria for determining the nationality of a corporate investor include the place of incorporation, main business location, and substantial ownership or control. The criterion of the place of incorporation that is used in a number of BIT have the problem of protecting investors from third countries not involved in the BIT. So, in recent years it is stipulated that the actual economic activity or the main business location as well as the place of incorporation criteria. And this problem is complemented by the denial of benefit clause. When determining whether a local corporation is controlled by foreigner in the host state it considers the shareholding rate, voting rights, and the exercise of managerial rights. There is a tendency to recognize shareholder's right to petition. Thus the same damage should not cause problems such as duplicate repayment or double reimbursement between the shareholders and the company. Unexpected problems can arise if the scope of investments and investors is broadly specified in the BIT. Therefore, it is necessary to clarify the scope of investment to be protected.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.14 no.6
• /
• pp.66-74
• /
• 2018

Recently, there has been active studies on hand gesture recognition to increase immersion and provide user-friendly interaction in a virtual reality environment. However, most studies require specialized sensors or equipment, or show low recognition rates. This paper proposes a hand gesture recognition method using Deep Learning technology without separate sensors or equipment other than camera to recognize static and dynamic hand gestures. First, a series of hand gesture input images are converted into high-frequency images, then each of the hand gestures RGB images and their high-frequency images is learned through the DenseNet three-dimensional Convolutional Neural Network. Experimental results on 6 static hand gestures and 9 dynamic hand gestures showed an average of 92.6% recognition rate and increased 4.6% compared to previous DenseNet. The 3D defense game was implemented to verify the results of our study, and an average speed of 30 ms of gesture recognition was found to be available as a real-time user interface for virtual reality applications.

• Journal of English Language & Literature
• /
• v.57 no.1
• /
• pp.73-105
• /
• 2011

The purpose of this paper is to contend the importance of resurrection of fluid identity and ecological imagination for making the habitable biosphere in Marilynne Robinson's Housekeeping. Ruth as a narrator suggests the future-oriented vision that the environment and nature(mother) can be resurrected, crossing Fingerbone bridge of the boundary line of society/nature as a faithful follower of her aunt Sylvie and becoming the existence with a transparent voice despite of her absence. This novel is to rewrite the American pastoral. Based on the patriarchical way despite of the absence of Edmund Foster, Sylvia's conventional housekeeping is to divide between inside and outside of the house. Nevertheless, Sylvia's relentless efforts to keep her house intact turns out to be fragile. Contrasting with Sylvia, Sylvie's housekeeping is to recognize the continuity of inside and outside. She willingly accepts the reconciliation of the self, the nature and the society. After Ruth and Lucille's staying at night in the lake, they are diverged into going their own way. Ruth accepts Sylvie as a substitute mother. Lucille leaves the house voluntarily and go to her Home Economics teacher, Miss Royce, pursuing the ideal mother of symbolic society. Sylvie and Ruth has the more intimate bond, with their trip to the deserted house in the valley. Ruth meditates on the non-solidity of house and the resurrection of her family. Leaving their house to escape from the town people's legal enforcement, Sylvie and Ruth become transients. Although their history is completed by the drown-death publicly, they always want to visit Lucille's well kept house in Fingerbone. Therefore the method for making Ruth and Sylvie as the existences of ecological imagination return to the real world is to accept the reconciliation of nature and society. This novel is not limited as the binary opposition of vagrance/stability and transience/durability. The significant element of fluid identity can be composed of the interactions with transience and stability.