• 한국게임학회 논문지
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• 제20권4호
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• pp.111-124
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• 2020

본 논문은 학습된 낙관주의 관점에서 '메이플스토리' NPC들의 대화 내용을 분석하였다. NPC의 대화는 게임 이용자들의 재미와 성취욕구 부여에 큰 역할을 하며, NPC와의 반복적이고 장기적인 대화는 유저의 사고에도 영향을 미칠 수 있다. 본 연구에서는 학습된 낙관주의 설명 양식의 핵심적인 2가지 차원인 영속성과 파급성의 요소를 활용하여 분석한 결과, NPC들의 낙관주의적 언어 사용 비율은 대략 6~7%로 확인되었다. 낙관적인 대화성향을 지닌 NPC와 지속적인 소통은 게임 해비유저에게 유사한 사고를 학습할 기회를 부여할 수 있어 향후 NPC인공지능 개발시 중요한 고려사항임을 확인하였다.

• Structural Engineering and Mechanics
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• 제60권5호
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• pp.903-921
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• 2016

To study the effect of looseness on mechanical behavior of dovetail mortise-tenon joints, five dovetail mortise-tenon joints, including one intact joint and four loose joints, were fabricated and tested under cycle lateral loadings, and non-linear finite element models using the software ABAQUS were also developed. The effects of looseness on stress distribution, rotational stiffness and bearing capacity of joints were studied based on the analysis of test and simulation results. The results indicate that the hysteretic loops are anti-Z-shaped and present typical characteristics of pinching and slippage, the envelop curves of joints are classified as following two stages: elastic and strengthening stage. The peak stress, rotational stiffness and bearing capacity of joints were reduced due to looseness. The moment-rotation theoretical model of intact joint was simplified in terms of the relation of construction dimensions for buildings, and the moment-rotation theoretical model considering the effect of looseness was proposed and validated.

• KIEAE Journal
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• 제17권3호
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• pp.23-34
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• 2017

Purpose: The purpose of this study is to explore the relationship between suburban waterfront und urban regeneration strategies. Specifically, This paper investigates how urban design strategies for suburban waterfront has been conceptualized and realized in a case-based research study of the regeneration of suburban waterfront in Berlin, Germany. Since Germany's reunification, Berlin was faced a wide variety of challenges and has been transformed into a new capital city. First of all, Wasserstadt Berlin-Oberhavel was a key development task for the urban regeneration in Berlin. The Wasserstadt Berlin-Oberhavel project with over 207 hectares will provide new residential urban areas, office spaces, educational facilities and cultural facilities. In details, 3,640 apartments with 12,700 units and around 4,800 jobs will be created. Method: The study consists of five sections. The first and second section are divided into two stages:"waterfront definition in urban design" and "urban design strategy in waterfront". The third section explores the waterfront development process of Wasserstadt Berlin-Oberhavel. The fourth section aims to investigate the strategies for urban regeneration as well as waterfront development. Finally, the fifth provides some of the key policy challenges for Urban Regeneration in suburban waterfront area. Result: The results showed that urban regeneration strategies in suburban waterfront have a substantial impact on all two dimensions: relationship between waterfront and urban context, relationship between waterfront and natural environment.

• Journal of Communications and Networks
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• 제17권6호
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• pp.634-646
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• 2015

Assuming perfect channel state information (CSI) at the transmitter and receiver, the optimization problem of maximizing the minimum Euclidean distance between two received signals by a linear precoder is considered for multiple-input multiple-output (MIMO) systems with arbitrary dimensions and arbitraryary quadrature amplitude modulation (QAM) input. A general precoding framework is first presented based on the Gram matrix, which is shown for 2-dimensional (2-D) and 3-dimensional (3-D) MIMO systems when employing the ellipse expanding method (EEM). An extended precoder for high-dimensional MIMO system is proposed following the precoding framework, where the Gram matrix for high-dimensional precoding matrix can be generated through those chosen from 2-D and 3-D results in association with a permutation matrix. A complexity-reduced maximum likelihood detector is also obtained according to the special structure of the proposed precoder. The analytical and numerical results indicate that the proposed precoder outperforms the other precoding schemes in terms of both minimum distance and bit error rate (BER).

• Psychiatry investigation
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• 제15권11호
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• pp.1046-1052
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• 2018

Objective The aims of the present study were to explore the occurrence of childhood trauma and importantly to determine the impacts of childhood trauma on psychosocial features in a Chinese sample of young adults. Methods A survey was carried out in a group of 555 university students by using Childhood Trauma Questionnaire (CTQ), Self-rating Depression Scale (SDS), Self-rating Anxiety Scale (SAS), Dysfunctional Attitudes Questionnaire (DAS), Eysenck Personality Questionnaire (EPQ), and Social Support Rating Scale (SSRS). The moderate-severe cut-off scores for CTQ were used to calculate the prevalence of childhood trauma, and then psychosocial features were compared between individuals with and without childhood trauma. Results A proportion of 18.6% of university students had self-reported childhood trauma exposures. Subjects with childhood trauma reported higher scores of SDS, SAS, DAS, and psychoticism and neuroticism dimensions of EPQ (t=4.311-5.551, p<0.001); while lower scores of SSRS and extraversion dimension of EPQ (t=-4.061- -3.039, p<0.01). Regression analyses further revealed that scores of SAS and DAS were positively (Adjusted B=0.211-0.230, p<0.05), while scores of SSRS were negatively (Adjusted B=-0.273- -0.240, p<0.05) associated with specific CTQ scores. Conclusion Childhood trauma is still a common social and psychological problem. Individuals with childhood trauma show much more depression, anxiety, distorted cognition, personality deficits, and lower levels of social support, which may represent the social and psychological vulnerability for developing psychiatric disorders after childhood trauma experiences.

• 산업경영시스템학회지
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• 제39권2호
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• pp.54-63
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• 2016

As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권4호
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• pp.1368-1389
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• 2014

Three-dimensional multiple-input multiple-output (3D MIMO) and large-scale MIMO are two promising technologies for upcoming high data rate wireless communications, since the inter-user interference can be reduced by exploiting antenna vertical gain and degree of freedom, respectively. In this paper, we derive the achievable sum rate of 3D MIMO systems employing zero-forcing (ZF) receivers, accounting for log-normal shadowing fading, path-loss and antenna gain. In particular, we consider the prevalent log-normal model and propose a novel closed-form lower bound on the achievable sum rate exploiting elevation features. Using the lower bound as a starting point, we pursue the "large-system" analysis and derive a closed-form expression when the number of antennas grows large for fixed average transmit power and fixed total transmit power schemes. We further model a high-building with several floors. Due to the floor height, different floors correspond to different elevation angles. Therefore, the asymptotic achievable sum rate performances for each floor and the whole building considering the elevation features are analyzed and the effects of tilt angle and user distribution for both horizontal and vertical dimensions are discussed. Finally, the relationship between the achievable sum rate and the number of users is investigated and the optimal number of users to maximize the sum rate performance is determined.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2768-2787
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• 2023

As an important research direction of the application of computer science in the medical field, the automatic generation technology of radiology report has attracted wide attention in the academic community. Because the proportion of normal regions in radiology images is much larger than that of abnormal regions, words describing diseases are often masked by other words, resulting in significant feature loss during the calculation process, which affects the quality of generated reports. In addition, the huge difference between visual features and semantic features causes traditional multi-modal fusion method to fail to generate long narrative structures consisting of multiple sentences, which are required for medical reports. To address these challenges, we propose a multi-feature optimization Transformer (MFOT) for generating radiology reports. In detail, a multi-dimensional mapping attention (MDMA) module is designed to encode the visual grid features from different dimensions to reduce the loss of primary features in the encoding process; a feature pre-fusion (FP) module is constructed to enhance the interaction ability between multi-modal features, so as to generate a reasonably structured radiology report; a detail enhanced attention (DEA) module is proposed to enhance the extraction and utilization of key features and reduce the loss of key features. In conclusion, we evaluate the performance of our proposed model against prevailing mainstream models by utilizing widely-recognized radiology report datasets, namely IU X-Ray and MIMIC-CXR. The experimental outcomes demonstrate that our model achieves SOTA performance on both datasets, compared with the base model, the average improvement of six key indicators is 19.9% and 18.0% respectively. These findings substantiate the efficacy of our model in the domain of automated radiology report generation.

• The International Journal of Costume Culture
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• 제8권1호
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• pp.43-50
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• 2005

This research analyzed the anthropometric data for Filipino plus-size women. The study aims to identify key dimensions used for the sizing system that can improve on fit and style concerns/issues for the plus-sizes. This study also develop a reference of body measurements for Filipino plus-size women from the data collected. The data was collected from subjects residing or working in the University of the Philippines and within Metro Manila. The full figure body shapes have been derived from the raw anthropometric data. The pear and the barrel shapes were derived figure types based on the anthropometric data collected. These body types show that weight distribution is on the lower torso for the pear and the upper torso for the barrel.

• 한국윤활학회:학술대회논문집
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• 한국윤활학회 2002년도 proceedings of the second asia international conference on tribology
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• pp.253-254
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• 2002

Based on 3-D surface morphology measurements of C.G. irons, the fractal analyses were made on relationship between dry sliding surface morphology and the fractal dimension. It is revealed that the values of fractal dimensions ($D_f$) of sliding surfaces are in the range between 1-2, which are closely related to the surface morphologies. With the increase in depths of grooves or pits, the $D_f$ values increase. At the same time, the increases in densities of the grooves also cause the $D_f$ values to increase. At last, relationship among $D_f$ and friction coefficient as well as wear rate is discussed.