• Korean Journal of Acupuncture
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• v.38 no.4
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• pp.317-323
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• 2021

The purpose of this study is to report a case diagnosed with cellulitis and ankle joint synovitis after acupuncture treatment. An 85-years old female suffering from low back pain was managed by acupuncture including BL60. After treatment, unintended ankle pain occurred. The pain was diagnosed with cellulitis and synovitis by MRI. The patient was transferred to the Western medical hospital, and ankle joint arthroscopic synovectomy was performed. It was difficult to find a clear relationship between acupuncture and ankle joint synovitis. But it would be reasonable to assume that cellulitis was associated with acupuncture needling and synovitis was followed. Serious adverse effects, such as septic arthritis, are rare, but need significant attention. For acupuncture treatment on the ankle, especially using BL60, the depth and manipulation should be carefully performed along with sterilization.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.6
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• pp.155-161
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• 2021

Gesture recognition analytics through a camera in real time have been widely studied in recent years. Since a small number of features from human joints are extracted, low accuracy of classifying models is get in conventional gesture recognition studies. In this paper, CBAM (Convolutional Block Attention Module) with high accuracy for classifying images is proposed as a classification model and algorithm calculating the angle of joints depending on actions is presented to solve the issues. Employing five exercise gestures images from the fitness posture images provided by AI Hub, the images are applied to the classification model. Important 8-joint angles information for classifying the exercise gestures is extracted from the images by using MediaPipe, a graph-based framework provided by Google. Setting the features as input of the classification model, the classification model is learned. From the simulation results, it is confirmed that the exercise gestures are classified with high accuracy in the proposed model.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1212-1223
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• 2022

Skin lesions are common diseases that range from skin rashes to skin cancer, which can lead to death. Note that early diagnosis of skin diseases can be important because early diagnosis of skin diseases considerably can reduce the course of treatment and the harmful effect of the disease. Recently, the development of computer-aided diagnosis (CAD) systems based on artificial intelligence has been actively made for the early diagnosis of skin diseases. In a typical CAD system, the accurate classification of skin lesion types is of great importance for improving the diagnosis performance. Motivated by this, we propose a novel deep ensemble classification with multi-scale attention networks. The proposed deep ensemble networks are jointly trained using a single loss function in an end-to-end manner. In addition, the proposed deep ensemble network is equipped with a multi-scale attention mechanism and segmentation information of the original skin input image, which improves the classification performance. To demonstrate our method, the publicly available human skin disease dataset (HAM 10000) and the private animal skin lesion dataset were used for the evaluation. Experiment results showed that the proposed methods can achieve 97.8% and 81% accuracy on each HAM10000 and animal skin lesion dataset. This research work would be useful for developing a more reliable CAD system which helps doctors early diagnose skin diseases.

• Journal of muscle and joint health
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• v.29 no.1
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• pp.69-80
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• 2022

Purpose: To identify research trends in the Journal of Muscle and Joint Health. Methods: In total, 315 studies published between 2008 and 2020 in the Journal of Muscle and Joint Health were reviewed using analysis criteria developed by the authors Results: Most participants were adults or older adults, they mostly had arthritis. The types of research design were descriptive research (46.4%), quasi-experimental design (21.9%), randomized controlled trial (1.9%), and qualitative research (4.1%). The occupation of most authors was professor in universities (61.0%). Data were collected mostly in hospitals (41.6%) or communities (24.4%) using a questionnaire (52.4%). Written consent was obtained at 75.6% and 47.9% of studies were approved by the Institutional Review Board (IRB). The instruments measuring physical concepts such as pain, flexibility, sense of balance and fatigue were mostly used. The most common interventions in experimental studies were physical interventions, with the main being exercise. Key words were categorized into four nursing meta-paradigms: human, health, environment and nursing. The most frequently reported key words were included in the health domain. The most frequently used key words were physical intervention, older patient, osteoarthritis, pain and depression. Conclusion: The results suggest that more research studies targeting various age groups related to muscle and joint health are required. Additionally there is a need to increase the number of qualitative studies, randomized experimental studies, and systematic review studies. It is necessary to pay attention to compliance with research ethics publication regulations.

• Journal of Industrial Technology
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• v.28 no.A
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• pp.71-74
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• 2008

Belt Integrated Seat(BIS) has many advantages compared to the existing seats. Due to the development of materials and manufacturing technology, BIS, which has been used restrictely in the past, has gone through a rapid growth. As a result, its advantages have gained attention and the possibility of replacing the existing seats has grown. The need to develop BIS has risen and presently joint development with associated industries is in progress. For its first goal, the development and research of Recliner sensor has been selected. Recliner sensor is an essential part of the BIS in which the belt is incorporated onto the seat. In seat-belts, there is an inclination sensor which locks the belt according to the angle of a car. Because the inclination sensor can change frequently depending on the back of seat, a device which can enhance the inclination sensor according to the angle of the back of seat. It is the Recliner sensor that play's this role. Studies on Recliner sensor within and outside Korea has not yet made a salient progress, and due to this fact, the joint development has made a start by benchmarking other company's products. Currently, in other to set the course of the development, a research in patents and various other information is being done. In addition, for the purpose of developing a product which will be compatible with the existing products, a prototype will be made and tested before a new product makes its launching on the market.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.39 no.5
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• pp.231-237
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• 2013

Objectives: This study aims to evaluate the severity and pattern of symptoms exhibited by teenage Korean temporomandibular disorder (TMD) patients. Materials and Methods: Among patients with an association of TMDs, teenage patients (11-19 years) who answered the questionnaire on the research diagnostic criteria for TMD (RDC/TMD) were recruited. Results: The ratio of patients who visited our clinic with a chief complaint of clicking sound (34.5%) or temporomandibular pain (36.6%) at the initial diagnosis (examination) was the highest. In the evaluation of the depression index, 75.8% of the subjects were normal, 12.9% were moderate, and 11.3% were severe. With regard to non-specific physical symptoms (including pain), 66.5% of the subjects were normal, 17.0% were moderate, and 16.5% were severe. Concerning non-specific physical symptoms (excluding pain), 70.6% of the subjects were normal, 14.4% were moderate, and 15.0% were severe. In terms of the graded chronic pain score, high disability (grade III, IV) was found in 9.3% of the subjects. Conclusion: Among teenage TMD patients, a portion have clinical symptoms and experience severe psychological pressure; hence requiring attention and treatment, as well as understanding the psychological pressure and appropriate treatments for dysfunction.

• Journal of Korean Society of Steel Construction
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• v.22 no.2
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• pp.161-171
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• 2010

Bridges have undergone distinctive development in accordance of the introduction of new materials and structural types. The importance on rapid construction technology is currently attracting more and more attention worldwidely as well as domestically because its effectiveness in reducing the overall construction cost. While a wide ranges of previous researches on rapid construction of super structures are available, the studies on substructures are quite limited. The development of the precast segmental internally confined hollow CFT piers are briefly introduced herein and design formulas are presented for pier segment joints, Also, a extensive parametric studies are carried out for the effect of the constitutive elements of the joints. Finally, the design formulas are verified throughout a series of extensive finite element analyses.

• Journal of information and communication convergence engineering
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• v.13 no.4
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• pp.241-247
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• 2015

Cognitive radio has been attracting increased attention as an effective approach to improving spectrum efficiency. One component of cognitive radio, spectrum sensing, has an important relationship with the performance of cognitive radio. In this paper, after a summary and analysis of the existing spectrum-sensing algorithms, we report that the existing eigenvalue-based semi-blind detection algorithm and blind detection algorithm have not made full use of the eigenvalues of the received signals. Applying multi-antenna systems to cognitive users, we design a variety of spectrum-sensing algorithms based on the joint distribution of the eigenvalues of the received signal. Simulation results validate that the proposed algorithms in this paper are able to detect whether the signal of the primary user exists or not with high probability of detection in an environment with a low signal-to-noise ratio. Compared with traditional algorithms, the new algorithms have the advantages of high detection performance and strong robustness

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.25 no.5
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• pp.329-337
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• 2016

The demand for the eco-friendly vehicles is skyrocketing because of the increasing $CO_2$ emissions and global warming. In the industrial field, the battery process, a core part of an eco-friendly vehicle, is drawing increased attention; its weight lightening as well as high energy density are becoming increasingly important. In this study, pure Ni plates that were used as the battery pole plate were welded using the laser. The lab joint welding was conducted on ten pure Ni plates at a laser power of 1900 W and a feed speed of 2.8-3.4 m/min. As observed in the experiment, a faster feed speed reduced the bead width, but the laser did not penetrate all ten specimen plates. In addition, pores were trapped when protective gas was used, but they were not trapped when the welding was conducted in atmospheric condition.

• Current Optics and Photonics
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• v.1 no.4
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• pp.325-335
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• 2017

Hybrid radio frequency/free space optical (RF/FSO) wireless mesh networks have attracted increasing attention for they can overcome the limitations of RF and FSO communications and significantly increase the throughput of wireless mesh networks (WMNs). In this article, a resource assignment optimization scheme is proposed for hybrid RF/FSO wireless mesh networks. The optimization framework is proposed for the objective of maximizing throughput of overall hybrid networks through joint transmission slot assignment, FSO links allocation and power control with the consideration of the fading nature of RF and FSO links. The scheme is formulated as an instance of mixed integer linear program (MILP) and the optimal solutions are provided using CPLEX and Gurobi optimizers. How to choose the appropriate optimizer is discussed by comparing their performance. Numerous simulations are done to demonstrate that the performance of our optimization scheme is much better than the current case of having the same topology.