• Korean Journal of Acupuncture
• /
• v.38 no.4
• /
• pp.267-274
• /
• 2021

Objectives : Acupoints education is important in that it can determine the clinical competency of Korean Medicine Doctors (KMDs). Accordingly, we aimed to develop a practical simulator for acupoints education, acupoints training, acupoints practice, and acupoints evaluation. Methods : Korean Medicine (KM) SMART Table can be divided into hardware, server and components, and is organically linked. We develop KM SMART Table that combines the hardware of a human-sized table with a UHD display capable of multi-touch in two cases and software that can teach acupoints. We make Augmented Reality (AR) contents linked with KM SMART Table contents and develop applications that can use contents using mobile devices. By developing an AR image tracking module to react with KM SMART Table, it enables acupoint learning according to the mobile device platform and human anatomy. Results : The current system is a prototype where some 3D technology has been implemented, but the AR function will be produced later. New learning using 3D and AR will be required during acupoints education and acupoints practice. It will be used a lot in OSCE (Objective Structured Clinical Examination) practices for strengthening the competency of KMDs, and it will be of great help not only in KM education as a unique simulator of KM, but also in the practice of acupuncture and chuna for musculoskeletal diseases. Conclusions : The KM SMART Table is a technology that combines 3D and AR to learn acupoints, and to conduct acupoints OSCE practice, and we suggest that it can be usefully used for educational evaluation.

• Journal of Drive and Control
• /
• v.18 no.4
• /
• pp.19-27
• /
• 2021

A bunker bed is a type of furniture that efficiently utilizes a narrow indoor space by having a high bed and using the empty space below as a living and storage space. The demand for multi-purpose furniture is increasing due to the recent increase in single-person households and wide-spread shared accommodation. According to the consumer research, one of the major drawbacks of a bunker bed was to get on and off the bed through a ladder or stairs. In order to overcome these problems, it was confirmed that the height adjustment function that can easily adjust the minimum and maximum heights of the bed was necessary. In this study, a height adjustable bunker bed was designed by using a gas spring that generates a repulsive force by the compressed gas inside. The design process consisted of the following three steps: Firstly, the hysteresis characteristics due to a friction and spring constant of a commercial gas spring were confirmed by measuring the repulsive force vs. compressed displacement. Secondly, requirements of the vertical lifting force exerted on the bed against gravity force were derived. Finally, the height-adjustable bed using the four-bar link mechanism was designed with 4 parameters so that the bed weight of 60-70 kgf could be adjusted to 800 mm in height by an affordable initial operation force. The performance was verified through prototype production and the results of vertical displacement and force to move were nearly the same as designed. In addition, an electrically operated height-adjustable bed was also designed with linear actuators and the performance was proved with the prototype.

• Advances in nano research
• /
• v.11 no.6
• /
• pp.581-593
• /
• 2021

This model is proposed to describe the buckling behavior of Carbon Nanotubes (CNTs) embedded in an elastic medium taking into account the combined effects of the magnetic field, the temperature, the nonlocal parameter, the number of walls. Using Eringen's nonlocal elasticity theory, thin cylindrical shell theory and Van der Waal force (VdW) interactions, we develop a system of partial differential equations governing the buckling response of CNTs embedded on Winkler, Pasternak, and Kerr foundations in a thermal-magnetic environment. The pre-buckling stresses are obtained by applying airy's stress function and an adjacent equilibrium criterion. To estimate the nonlocal critical buckling load of CNTs under the simultaneous effects of the magnetic field, the temperature change, and the number of walls, an optimization technique is proposed. Furthermore, analytical formulas are developed to obtain the buckling behavior of SWCNTs embedded in an elastic medium without taking into account the effects of the nonlocal parameter. These formulas take into account VdW interactions between adjacent tubes and the effect of terms involving differences in tube radii generally neglected in the derived expressions of the critical buckling load published in the literature. Most scientific research on modeling the effects of magnetic fields is based on beam theories, this motivation pushes me to develop a cylindrical shell model for studying the effect of the magnetic field on the static behavior of CNTs. The results show that the magnetic field has significant effects on the static behavior of CNTs and can lead to slow buckling. On the other hand, thermal effects reduce the critical buckling load. The findings in this work can help us design of CNTs for various applications (e.g. structural, electrical, mechanical and biological applications) in a thermal and magnetic environment.

• The Journal of Sustainable Design and Educational Environment Research
• /
• v.21 no.4
• /
• pp.1-12
• /
• 2022

The main purpose of this study was to propose an objective basis model for determining business types through renovation and remodeling by quantifying and comprehensively reviewing functional, performance, structural safety, and economic indicators for rational renovation and remodeling of deteriorated school facilities. Delphi analysis and AHP analysis were applied as the main methodologies for setting evaluation indicators, and scores for each evaluation item was allocated based on 34 points in the function and performance fields, 51 points in the structural safety field, and 15 points in the economic field. In the future, judgment on the execution of objective and reasonable reconstruction can be expected, focusing on the evaluation indicator index model, and it is necessary to determine the business type for each target school teacher building through a multi-faceted review of the current status of the target school.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.3
• /
• pp.75-81
• /
• 2022

Under the government's principle of paying for emissions, the RFID-based pay-as-you-go system, which charges fees in proportion to emissions, was fully implemented in 2012. As of the end of 2018, the penetration rate is about 40% based on 149 local governments and multi-family apartments nationwide. The introduction of equipment showed a reduction effect of about 20-30%. Problems with existing equipment also began to appear. This study tried to improve by applying and integrating the existing technologies to solve the fundamental problems of these inlets. In other words, the plan is to improve the environment around the food waste meter by changing the design so that the hopper goes deep into the food waste bin inside the food waste meter so that the food waste becomes full and is designed smoothly when replacing the collection container.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.24 no.2
• /
• pp.11-26
• /
• 2022

The Hallyu wave based on K-pop and K-culture has increased the global interest in Korean culture. Therefore, to satisfy consumer demand, there is an attempt to develop a variable fashion design using traditional Korean culture. Transformable fashion design causes changes in form and meaning according to various situations and needs and can induce active participation of consumers. Therefore, we intend to propose a transformable fashion design that is based on traditional Korean culture but appears in a new form and meets the needs of consumers of fashion design. Among Korean traditional culture, wrapping cloths, bojagi are practically used by ordinary people until now, and their shape and use change according to the user's needs. This study intends to derive expression characteristics by examining the expression tendencies of bojagi and to develop transformable fashion designs through the derived data. The purpose of this study is to make and propose transformable fashion designs in real life using the expression characteristics of Korean bojagi. As the method of this study, we first conducted a literature review. Through this, a case study of empirical production was conducted in parallel with the development and production of transformable fashion designs using bojagi. A total of three illustrations and six variable fashion designs were developed. Two of the six works are transformable fashion design that change through movement and expansion of the square shape, the prototype of the bojagi, and two works are modular, bringing changes in function through combination and separation. The work was produced as a multi-purpose transformable fashion design that can be used as clothes or a bag.

• Smart Structures and Systems
• /
• v.29 no.1
• /
• pp.181-193
• /
• 2022

Data-driven structural health monitoring (SHM) of civil infrastructure can be used to continuously assess the state of a structure, allowing preemptive safety measures to be carried out. Long-term monitoring of large-scale civil infrastructure often involves data-collection using a network of numerous sensors of various types. Malfunctioning sensors in the network are common, which can disrupt the condition assessment and even lead to false-negative indications of damage. The overwhelming size of the data collected renders manual approaches to ensure data quality intractable. The task of detecting and classifying an anomaly in the raw data is non-trivial. We propose an approach to automate this task, improving upon the previously developed technique of image-based pre-processing on one-dimensional (1D) data by enriching the features of the neural network input data with multiple channels. In particular, feature engineering is employed to convert the measured time histories into a 3-channel image comprised of (i) the time history, (ii) the spectrogram, and (iii) the probability density function representation of the signal. To demonstrate this approach, a CNN model is designed and trained on a dataset consisting of acceleration records of sensors installed on a long-span bridge, with the goal of fault detection and classification. The effect of imbalance in anomaly patterns observed is studied to better account for unseen test cases. The proposed framework achieves high overall accuracy and recall even when tested on an unseen dataset that is much larger than the samples used for training, offering a viable solution for implementation on full-scale structures where limited labeled-training data is available.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.12
• /
• pp.3904-3922
• /
• 2022

As a research hotspot, pedestrian detection has a wide range of applications in the field of computer vision in recent years. However, current pedestrian detection methods have problems such as insufficient detection accuracy and large models that are not suitable for large-scale deployment. In view of these problems mentioned above, a lightweight pedestrian detection and early warning method using a new model called you only look once (Yolov5) is proposed in this paper, which utilizing advantages of Yolov5s model to achieve accurate and fast pedestrian recognition. In addition, this paper also optimizes the loss function of the batch normalization (BN) layer. After sparsification, pruning and fine-tuning, got a lot of optimization, the size of the model on the edge of the computing power is lower equipment can be deployed. Finally, from the experimental data presented in this paper, under the training of the road pedestrian dataset that we collected and processed independently, the Yolov5s model has certain advantages in terms of precision and other indicators compared with traditional single shot multiBox detector (SSD) model and fast region-convolutional neural network (Fast R-CNN) model. After pruning and lightweight, the size of training model is greatly reduced without a significant reduction in accuracy, and the final precision reaches 87%, while the model size is reduced to 7,723 KB.

• Journal of Korea Port Economic Association
• /
• v.38 no.2
• /
• pp.1-10
• /
• 2022

Looking at the cargo trend of Gwangyang port (GWP) during past decade, petrochemical items grew by 26% and steel item grew by 12%, but container cargo just grew by 4%. Thus, Yeosu-Gwangyang Port Authority (YGPA) sets the port development initiative targeting at industrial core port considering GWP's strength as multi function port and industrial port and GWP's weakness as lower container cargo growth trend. The purpose of this study is proposing the projects about the GWP's industrial core port development. The results of the study is as follows. As a prerequisite for development as an industrial core port, it was suggested to form a consensus on the modification or change of the port performance index of univariate port cargo volume. The following three tasks were presented for GWP to develop as an industrial core port. It can be said that it is most necessary to derive, manage, and monitor GWP industrial core performance indicators. Next, it is necessary to conduct a survey on the satisfaction of industrial support in ports. Finally, it is necessary to measure the added value of the port area of GWP hinterland.

• Korean Journal of Remote Sensing
• /
• v.38 no.4
• /
• pp.343-353
• /
• 2022

An attempt to derive the surface temperature from the Korea Multi-purpose Satellite (KOMPSAT)-3A mid-wave infrared (MWIR) data acquired over the southern California on Nov. 14, 2015 has been made using the MODerate resolution atmospheric TRANsmission (MODTRAN) radiative transfer model. Since after the successful launch on March 25, 2015, the KOMPSAT-3A spacecraft and its two payload instruments - the high-resolution multispectral optical sensor and the scanner infrared imaging system (SIIS) - continue to operate properly. SIIS uses the MWIR spectral band of 3.3-5.2 ㎛ for data acquisition. As input data for the realistic simulation of the KOMPSAT-3A SIIS imaging conditions in the MODTRAN model, we used the National Centers for Environmental Prediction (NCEP) atmospheric profiles, the KOMPSAT-3Asensor response function, the solar and line-of-sight geometry, and the University of Wisconsin emissivity database. The land cover type of the study area includes water,sand, and agricultural (vegetated) land located in the southern California. Results of surface temperature showed the reasonable geographical pattern over water, sand, and agricultural land. It is however worthwhile to note that the surface temperature pattern does not resemble the top-of-atmosphere (TOA) radiance counterpart. This is because MWIR TOA radiances consist of both shortwave (0.2-5 ㎛) and longwave (5-50 ㎛) components and the surface temperature depends solely upon the surface emitted radiance of longwave components. We found in our case that the shortwave surface reflection primarily causes the difference of geographical pattern between surface temperature and TOA radiance. Validation of the surface temperature for this study is practically difficult to perform due to the lack of ground truth data. We therefore made simple comparisons with two datasets over Salton Sea: National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) field data and Salton Sea data. The current estimate differs with these datasets by 2.2 K and 1.4 K, respectively, though it seems not possible to quantify factors causing such differences.