• 한국엔터테인먼트산업학회논문지
• /
• 제14권3호
• /
• pp.133-138
• /
• 2020

증강현실에 있어서 인터랙션은 중요한 요소이다. 하지만 현재 증강현실 콘텐츠에서 인터랙션 기능은 많이 부족한 실정이다. 현실 환경 정보를 많이 가져오는 것이 증강현실의 발전 방법 중 하나이며, 인터랙션도 자연스레 발전하게 된다. 본 논문에서는 인터페이스 도구로 널리 사용되는 손을 통해 증강현실 환경에서 자연스러운 인터랙션을 위해 Leap Motion을 이용하였고 기존의 디스플레이 터치방식의 한정적인 인터랙션에서 보다 확장시켜 자연스러운 인터랙션을 연출하였다. 이러한 인터랙션의 발전은 추후 증강현실 뿐만 아니라 여러 콘텐츠들의 발전에 기여할 것이다.

• Smart Structures and Systems
• /
• 제29권2호
• /
• pp.279-286
• /
• 2022

In this article, a novel propagation formulation of Rayleigh waves in a compressible isotropic half-space with impedance boundary condition is proposed by embedding the normal stress. In a two-dimensional case, it is assumed that a design boundary is free of normal traction and a shear traction depends on linearly a normal component of displacements multiplied by frequencies. Therefore, impedance boundary conditions affect the normal stress, where the impedance parameters correspond to dimensions of stresses over velocity. On the other hand, vanished impedance values are traction-free boundary conditions. The main purpose of this article is to present theoretically the existence and uniqueness of a Rayleigh wave formulation relying on secular equation's mathematical analyses. Its velocity varies along with the impedance parameters. Moreover, numerical experiments with different values for the velocity of Rayleigh waves are carried out. The present Rayleigh waves study is a fundamental step in analyzing the cause and effect of physical states such as building or structure damages resulting from natural dynamics. The results of the study generate a basic design formulation theory to test the effects of Rayleigh waves affecting structures when an earthquake occurs. The presence and uniqueness of the proposed formulation is verified by mutual comparisons of several numerical examples.

• Smart Structures and Systems
• /
• 제31권2호
• /
• pp.183-197
• /
• 2023

For long-span bridges with a structural health monitoring (SHM) system, environmental temperature-driven responses are proved to be a main component in measurements. However, anomalous structural behavior may be hidden incomplicated recorded data. In order to receive reliable assessment of structural performance, it is important to study therelationship between temperature and monitoring data. This paper presents an application of the cointegration based methodology to detect anomalies that may be masked by temperature effects and then forecast the temperature-induced deflection (TID) of long-span suspension bridges. Firstly, temperature effects on girder deflection are analyzed with fieldmeasured data of a suspension bridge. Subsequently, the cointegration testing procedure is conducted. A threshold-based anomaly detection framework that eliminates the influence of environmental temperature is also proposed. The cointegrated residual series is extracted as the index to monitor anomaly events in bridges. Then, wavelet separation method is used to obtain TIDs from recorded data. Combining cointegration theory with autoregressive moving average (ARMA) model, TIDs for longspan bridges are modeled and forecasted. Finally, in-situ measurements of Xihoumen Bridge are adopted as an example to demonstrate the effectiveness of the cointegration based approach. In conclusion, the proposed method is practical for actual structures which ensures the efficient management and maintenance based on monitoring data.

• International journal of advanced smart convergence
• /
• 제12권3호
• /
• pp.211-220
• /
• 2023

Surface electromyography (sEMG) is a noninvasive method used to capture electrically muscle activity, which can be easily measured even during exercise. The basic unit of muscle activity is the motor unit, and because an sEMG signal is a superposition of motor unit action potentials, analysis of muscle activity using sEMG should ideally be done from the perspective of motor unit activity. However, conventional techniques can only evaluate sEMG signals based on abstract signal features, such as root-mean-square (RMS) and mean-power-frequency (MPF), and cannot detect individual motor unit activities from an sEMG signal. On the other hand, needle EMG can only capture the activity of a few local motor units, making it extremely difficult to grasp the activity of the entire muscle. Therefore, in this study, a method to visualize the activities of motor units in a single-channel sEMG signal by relocating wavelet coefficients obtained by redundant discrete wavelet analysis is proposed. The information obtained through this method resides in between the information obtained through needle EMG and the information obtained through sEMG using conventional techniques.

• Composites Research
• /
• 제36권4호
• /
• pp.264-269
• /
• 2023

Spent coffee grounds (SCG) are a ubiquitous byproduct of coffee consumption, representing a significant waste management challenge, as well as an untapped resource for economic development and sustainability. Improper disposal of SCG can result in environmental problems such as methane emissions and leachate production. This study aims to investigate the physicochemical properties of SCG and their potential as a reinforcement material in polypropylene (PP) to fabricate an eco-friendly composite via extrusion and injection molding, with SCG filler ratios ranging from 5-20%. To evaluate the effect of SCG on the morphological and mechanical properties of the bio- composite, thermogravimetric analysis, SEM, tensile, flexural, and impact tests were conducted. The results demonstrated that the addition of SCG lead to a slight increase in brittleness of the composite but did not significantly affect its mechanical properties. Impressively, the presence of a significant organic component in SCG contributed to the enhanced thermal performance of PP/SCG composites. This improvement was evident in terms of increased thermal stability, delayed onset of degradation, and higher maximum degradation temperature as compared to pure PP. These findings suggest that SCG has potential as a filler material for PP composites, with the ability to enhance the material's properties without compromising overall performance.

• Smart Structures and Systems
• /
• 제29권5호
• /
• pp.747-755
• /
• 2022

Hierarchical structure parameters, proposed in She-Leveque model, are investigated for velocity components obtained from different flow types over a large range of Reynolds numbers 255 < Re_𝜆 < 720. The values of intermittency parameter 𝛽, with respect to a fixed velocity component, are observed nearly same for all four types of turbulence. The parameter 𝛾, for streamwise velocity components is nearly the same but significantly different for vertical components in different flows. It is also observed that for both parameters, an obvious relation between the longitudinal and transverse components 𝛽_T < 𝛽_L (and 𝛾_T < 𝛾_L) always holds. However, the difference between 𝛽_L and 𝛽_T is found very small in all types of turbulent flows, we studied here. It is evidenced that at low Reynolds numbers, the deviations from K41 scaling are mainly due to the most intense structures and slightly because of more heterogeneous hierarchy of fluctuation structures. However, at higher Reynolds numbers the deviations seem as a consequence of the most intense structures only. Over all, the study suggests that the hierarchy parameter 𝛽 may be consider as a universal constant.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2021년도 추계학술대회
• /
• pp.121-123
• /
• 2021

영상처리는 인공지능과 스마트팩토리, IoT 산업 등 4차 산업혁명의 중요한 분야에서 다양한 형태로 사용되고 있다. 특히 물체 추적, 의료 영상, 객체 인식과 같은 데이터 처리가 필요한 시스템에서는 전처리 단계로 잡음 제거를 사용하고 있으나, 기존 알고리즘은 필터링 과정에서 블러링 현상이 나타나는 단점을 가지고 있다. 따라서 본 논문에서는 스위칭 퍼지 가중치를 사용한 필터 알고리즘을 제안한다. 제안한 알고리즘은 필터링 마스크의 표준편차에 저주파 영역과 고주파 영역을 구분하여 퍼지 함수를 스위칭하였으며, 퍼지 가중치에 따라 최종출력을 구한다. 제안한 알고리즘은 기존 방법에 비해 개선된 결과를 보였으며, 고주파 성분이 강하게 나타나는 영역에서 우수한 특성을 나타내었다.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2022년도 추계학술대회
• /
• pp.207-209
• /
• 2022

IoT환경에서 스마트 디바이스로부터 사람의 신체 활동을 인식하여 생활 패턴 데이터를 수집할 수 있게 되었다. 본 논문에서는 제안된 모델은 예측단계와 추천단계로 구성한다. 예측 단계는 생활 패턴 데이터로부터 수집된 데이터셋을 기계학습을 통해 로지스틱 회귀와 k-최근접 이웃 알고리즘을 활용하여 불안과 우울의 척도를 예측한다. 추천 단계는 불안과 우울 증상으로 분류된 경우 이를 호전시킬 수 있는 음식과 가벼운 운동을 추천하기 위해 주성분 분석 알고리즘을 적용한다. 제안한 불안·우울 예측과 음식·운동 추천은 개인의 삶의 품질 개선에 파급효과가 있을 것으로 기대한다.

• Steel and Composite Structures
• /
• 제44권4호
• /
• pp.569-586
• /
• 2022

This study introduces a novel friction damper as a component of a recentering frame connection, to solve the problem of structural repair costs, caused by stiffness deterioration and brittle fracture of the central brace frame (CBF). The proposed damper consists of shape memory alloy (SMA) bars with pretension applied to them to improve the stability. SMAs reduce the residual displacement by virtue of the properties of the materials themselves; in addition, a pretension can be applied to partially improve their energy dissipation capacity. The damper also consists of a friction device equipped with friction bolts for increased energy dissipation. Therefore, a study was conducted on the effects of the friction device as well as the pretension forces on the friction damper. For performance verification, 12 cases were studied and analyzed using ABAQUS program. In addition, the friction and pretension forces were used as variables in each case, and the results were compared. As a result, when the pretension and friction force are increased, the energy dissipation capacity gradually increases by up to about 94% and the recentering capacity decreases by up to about 55%. Therefore, it has been shown that SMA bars with adequate pretension in combination with bolts with adequate frictional force effectively reduce residual deformation and increase damper capacity. Thus, this study has successfully proposed a novel friction damper with excellent performance in terms of recentering and energy dissipation capacity.

• 한국전기전자재료학회논문지
• /
• 제37권1호
• /
• pp.1-10
• /
• 2024

Direct use of sunlight through the glass windows is an efficient way to reduce the energy consumption related to the heating, cooling, and lighting. Introduction of near-infrared modulating properties through colloidal doped metal oxide nanocrystals into the classical electrochromic materials accelerates the development of next-generation electrochromic devices. There has been a steady enhancement in the performance of electrochromic devices, necessitating a review of the recent progress in next-generation electrochromic devices employing doped metal oxide nanocrystals. This review provides an overview of the current developments in next-generation electrochromic smart windows utilizing colloidal doped metal oxide nanocrystals, with a focus on the key factors for achieving these advanced windows. Colloidal doped metal oxide nanocrystals are a crucial component in realizing and bringing to market the next generation of electrochromic windows, though further research and development are still required in this regard.