• 제목/요약/키워드: Manual Function

검색결과 547건 처리시간 0.025초

척수경막동정맥루로 인한 척수병증 환자의 색전술 이후 한의복합치료: 증례 보고 (Complex Korean Medical Treatment after Embolization for Myelopathy Due to Spinal Dural Arteriovenous Fistula: A Case Report)

  • 우현준;한윤희;이정한
    • 한방재활의학과학회지
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    • 제31권3호
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    • pp.105-114
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    • 2021
  • A 38-year-old Korean man without any other history was diagnosed with myelopathy due to a spinal dural arteriovenous fistula. Following embolization and high-dose steroid therapy, the patient was treated with complex Korean medical therapies including acupuncture, pharmacopuncture, electro-acupuncture, Chuna manual therapy, herbal medicine, and cupping therapy in addition to conventional treatment. To assess the patient's improvement, international standard for neurological classification of spinal cord injury, Korean version of modified Barthel index, functional independence measure, spinal cord independence measure III, walking index for spinal cord injury II, modified Ashworth scale were used. After treatment, the muscle strength and sensory function of the lower extremities were improved, and the spasticity was reduced, resulting in a rapid improvement in performance of daily activities. These results suggest that complex Korean medical therapies may be effective for myelopathy, and further clinical studies are needed to clarify their effects.

Animal Fur Recognition Algorithm Based on Feature Fusion Network

  • Liu, Peng;Lei, Tao;Xiang, Qian;Wang, Zexuan;Wang, Jiwei
    • Journal of Multimedia Information System
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    • 제9권1호
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    • pp.1-10
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    • 2022
  • China is a big country in animal fur industry. The total production and consumption of fur are increasing year by year. However, the recognition of fur in the fur production process still mainly relies on the visual identification of skilled workers, and the stability and consistency of products cannot be guaranteed. In response to this problem, this paper proposes a feature fusion-based animal fur recognition network on the basis of typical convolutional neural network structure, relying on rapidly developing deep learning techniques. This network superimposes texture feature - the most prominent feature of fur image - into the channel dimension of input image. The output feature map of the first layer convolution is inverted to obtain the inverted feature map and concat it into the original output feature map, then Leaky ReLU is used for activation, which makes full use of the texture information of fur image and the inverted feature information. Experimental results show that the algorithm improves the recognition accuracy by 9.08% on Fur_Recognition dataset and 6.41% on CIFAR-10 dataset. The algorithm in this paper can change the current situation that fur recognition relies on manual visual method to classify, and can lay foundation for improving the efficiency of fur production technology.

Satisfaction Through Clothing Utilization and Environmental Sustainability Based on Fashion AI Curation Service

  • Shin, Eunjung;Kim, Sohyun;Koh, Ae-Ran
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권9호
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    • pp.2867-2881
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    • 2022
  • This study investigates fashion Artificial Intelligence (AI) curation services to expand sustainable consumption. We analyzed the factors that affect the AI fashion curation service experience of women in their 20s and 30s using their clothes. An online survey was conducted from March 29, 2021, to June 4, 2021, for women of the previously mentioned age groups residing in the metropolitan area. Before answering the questionnaire, they installed the "Style Bot" application on their phone, took five or more photos of their clothes according to the manual provided by the application, stored them in a virtual wardrobe on the application, and then responded to the questionnaire using the AI recommended coordinating function. The effect of the properties of fashion AI curation service application on the use of clothes was investigated. Among the attributes of the fashion AI curation service application, convenience, speed, and usefulness were found to have a positive effect on the use of clothes, and promptness had no effect. Second, regarding the impact of clothing utilization on environmental sustainability, clothing utilization was found to have a positive effect on environmental sustainability. Third, environmental sustainability was found to have a positive effect on satisfaction. Fourth, clothing utilization had a positive effect on satisfaction. Thus, fashion AI curation service would help promote service development so that clothes could be used actively through an in-depth understanding of the properties of these services. Finally, the results of this study would contribute to promoting environmental sustainability.

Crack segmentation in high-resolution images using cascaded deep convolutional neural networks and Bayesian data fusion

  • Tang, Wen;Wu, Rih-Teng;Jahanshahi, Mohammad R.
    • Smart Structures and Systems
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    • 제29권1호
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    • pp.221-235
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    • 2022
  • Manual inspection of steel box girders on long span bridges is time-consuming and labor-intensive. The quality of inspection relies on the subjective judgements of the inspectors. This study proposes an automated approach to detect and segment cracks in high-resolution images. An end-to-end cascaded framework is proposed to first detect the existence of cracks using a deep convolutional neural network (CNN) and then segment the crack using a modified U-Net encoder-decoder architecture. A Naïve Bayes data fusion scheme is proposed to reduce the false positives and false negatives effectively. To generate the binary crack mask, first, the original images are divided into 448 × 448 overlapping image patches where these image patches are classified as cracks versus non-cracks using a deep CNN. Next, a modified U-Net is trained from scratch using only the crack patches for segmentation. A customized loss function that consists of binary cross entropy loss and the Dice loss is introduced to enhance the segmentation performance. Additionally, a Naïve Bayes fusion strategy is employed to integrate the crack score maps from different overlapping crack patches and to decide whether a pixel is crack or not. Comprehensive experiments have demonstrated that the proposed approach achieves an 81.71% mean intersection over union (mIoU) score across 5 different training/test splits, which is 7.29% higher than the baseline reference implemented with the original U-Net.

일산화탄소 중독 지연성 뇌손상 소양인 환자 치험 1례 (Case Study of Soyangin Patient with Delayed Encephalopathy after Carbon Monoxide Intoxication)

  • 김수현;박준용;주종천
    • 사상체질의학회지
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    • 제35권3호
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    • pp.1-11
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    • 2023
  • Objective This case report is to show the effectiveness of Sasang Constitutional Medicine treatment on the patient with delayed encephalopathy after acute carbon monoxide intoxication. Methods A 40-year-old female patient diagnosed with delayed encephalopathy after carbon monoxide poisoning 2 weeks ago before visiting our hospital. The patient suffered gait disturbance and cognitive disorder. She was identified as Soyangin and treated with Sasang constitutional Herbal Medicine(Yangkyuksanwha-tang and Hyungbangjihwang-tang). Improvement of symptoms was evaluated through Korean Version of Mini Mental Status Examination score(MMSE-K), Modified Barthel Index(MBI), Manual Muscle Testing(MMT), Range of Motion(ROM) and Hand Function Test. Results After 7 weeks of treatment, total score of MMSE-K increased from 0 to 26, the patient could walk by herself and had no trouble carrying out her daily life. Conclusions This case showed the effectiveness of Sasang constitutional medicine treatment for delayed encephalopathy after acute carbon monoxide intoxication.

고관절염과 근 긴장을 동반한 강직성 척추염의 빠른 기능 회복 (Rapid Functional Enhancement of Ankylosing Spondylitis with Severe Hip Joint Arthritis and Muscle Strain)

  • 황상원;임상희;신지철;박진영
    • Clinical Pain
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    • 제18권2호
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    • pp.121-125
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    • 2019
  • Arthritis of hip joints deteriorates the quality of life in ankylosing spondylitis (AS) patients. Secondary to the articular inflammatory process, the shortened hip-girdle muscles contribute to the decreased joint mobility which may lead to the functional impairment. As the limitation of range of motion (ROM) usually progress slowly, clinicians regard it as a chronic condition and prescribe long-term therapy. However, by short-term intensive multimodal treatment, a 20-year-old man diagnosed as AS with severely limited hip joint ROM who relied on crutches doubled the joint angle and could walk independently only within 2 weeks. The combination included intra-articular steroid injection, electrical twitch obtaining intramuscular stimulation, extracorporeal shock wave therapy, heat, manual therapy, and stretching exercises. The management focused on the relaxation of hip-girdle muscles as well as the direct control of intra-articular inflammation. Hereby, we emphasize the effectiveness of intensive multimodal treatment in improving the function even within a short period.

Predicting Tree Felling Direction Using Path Distance Back Link in Geographic Information Systems (GIS)

  • Rhyma Purnamasayangsukasih Parman;Mohd Hasmadi, Ismail;Norizah Kamarudin;Nur Faziera Yaakub
    • Journal of Forest and Environmental Science
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    • 제39권4호
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    • pp.203-212
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    • 2023
  • Directional felling is a felling method practised by the Forestry Department in Peninsular Malaysia as prescribed in Field Work Manual (1997) for Selective Management Systems (SMS) in forest harvesting. Determining the direction of tree felling in Peninsular Malaysia is conducted during the pre-felling inventory 1 to 2 years before the felling operation. This study aimed to predict and analyze the direction of tree felling using the vector-based path distance back link method in Geographic Information Systems (GIS) and compare it with the felling direction observed on the ground. The study area is at Balah Forest Reserve, Kelantan, Peninsular Malaysia. A Path Distance Back Link (spatial analyst) function in ArcGIS Pro 3.0 was used in predicting tree felling direction. Meanwhile, a binary classification was used to compare the felling direction estimated using GIS and the tree felling direction observed on the ground. Results revealed that 61.3% of 31 trees predicted using the vector-based projection method were similar to the felling direction observed on the ground. It is important to note that dynamic changes of natural constraints might occur in the middle of tree felling operation, such as weather problems, wind speed, and unpredicted tree falling direction.

Hydronephrosis 환자의 Kidney MAG3 검사 시 Background ROI 설정에 따른 신장 상대 섭취율 변화에 관한 연구 (Research on Changing of Renal Relative Uptake Depending on the Setting of Background ROI in Kidney MAG3 Study of Hydronephrosis Patients)

  • 노익상;안병호;김수영;최성욱
    • 핵의학기술
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    • 제17권2호
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    • pp.25-30
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    • 2013
  • 신장의 기능을 평가하는데 있어 신장 상대 섭취율(Renal Relative Uptake: %)은 매우 중요한 의미를 가지며, 이는 신장과 background의 Region Of Interest (ROI) 설정에 따라 많은 영향을 받게 된다. 특히 hydronephrosis 환자의 경우 육안으로 신장의 위치와 형태, 크기 등을 식별하기 어려운 경우도 있어 사용자가 설정하는 ROI에 따라 결과 값이 많은 차이를 나타내기도 한다. 본 연구는 일정한 신장의 ROI를 전제로 background ROI 설정을 변화시키며 신장 상대 섭취율을 분석하여 결과에 어떠한 영향을 미치는지 연구하였다. 2012년 1월부터 2013년 2월까지 삼성서울병원을 내원하여 Kidney MAG3 검사를 실시한 hydronephrosis 환자 27명을 대상으로 하였다. 환자에게 $^{99m}Tc-MAG3$ 185 MBq (5 mCi)을 정맥주사 후 데이터를 획득하였고, 환자의 영상을 재구성하면서 ROI를 설정하는 과정에서 background ROI를 변화시켰다. 첫째, renal processing 과정에서 자동으로 설정되는 automatic ROI와 사용자가 직접 설정하는 manual ROI를 비교하였다. 둘째, ROI 설정 위치를 신장의 위, 옆, 아래 부분으로 구분하여 설정하였다. 셋째 background 설정 시간을 1-2분, 2-3분으로 구분하여 비교하였다. Automatic ROI와 manual ROI의 신장 상대섭취율을 비교한 결과 약 3.7%p 차이가 나타났고, hydronephrosis가 있는 신장은 직접 ROI를 설정하는 경우 신장 상대 섭취율이 소폭 감소하는 경향을 보였다. ROI 위치에 따른 연구에서 아래쪽에 background를 설정한 결과 값이 가장 근접한 신장 상대 섭취율을 나타내었고, 위쪽의 경우 매우 큰 편차를 보였다. Background 설정 시간에 따른 결과에서 4%p 차이를 확인할 수 있었다. Hydronephrosis의 환자의 경우, automatic ROI는 위치를 설정하는데 오차가 적지 않게 나타났고, 사용자가 설정하는 ROI 위치에 따라서도 큰 폭의 변동성을 나타내었다. 이는 정상 신장에 비해 적은 count 섭취와 주변 조직과의 상대적인 관계에서 야기된 것으로 보인다. 따라서 신장과 background의 ROI를 설정할 시 보다 폭넓게 다양한 변수를 고려하여 오차를 최소화할 수 있는 방안을 연구해야 할 것이다.

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노각나무(Stewartia koreana Nakai)의 cDNA library 제작 및 EST 분석 (Construction of a Full-length cDNA Library from Korean Stewartia (Stewartia koreana Nakai) and Characterization of EST Dataset)

  • 임수빈;김준기;최영인;최선희;권혜진;송호경;임용표
    • 원예과학기술지
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    • 제29권2호
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    • pp.116-122
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    • 2011
  • 본 연구에서는 지리산에서 자생하는 한국 특산종인 노각나무(Stewartia koreana Nakai)의 EST library를 제작하고 서열을 분석하였다. 노각나무의 유엽을 재료로 cDNA library 만들었고 1,392개의 cDNA에 대한 부분 서열 분석을 진행하였다. EST와 unigene 서열의 분석은 컴퓨터를 기반으로한 filtering과 수작업 그리고 NCBI의 BLAST 분석을 통해 수행하였다. 벡터 서열과 100bp 이하의 서열을 제거한 후 1,301개의 EST를 분석하였다. 전체 150개의 contig와 743개의 singleton을 분리하여 총 893개의 unigene을 분리해냈으며 서열 분석을 통해 95개의 microsatellite를 확인하였다. NCBI 데이터베이스의 BLASTX로 상동성을 검색한 결과 EST의 65%는 기능을 알고 있는 유전자와 11.6%의 EST는 아직까지 기능이 보고되지 않은 유전자와 높은 상동성을 보였다. 남아 있는 23.2%의 EST는 기존에 데이터베이스에 보고된 유전자와 상동성을 보이지 않는 유전자로 밝혀졌다. 다양한 데이터베이스를 기반으로 한 유사성 기반 기능 분석은 노각나무의 EST가 포도나무와 포플러와 높은 유사성을 보인 것을 확인하였다. 기능에 따른 분류에 있어 molecular function은 nucleotide binding, biological process는 transport, cellular component는 plastid가 가장 높은 비율로 나왔다. 본 연구를 통해 얻어진 EST 자료는 노각나무의 새로운 유전자원에 대한 연구의 기본 자료로 유용하게 활용될 것이다.

신형원전(APR+)을 위한 범용소프트제어기의 내고장성 설계 (Fault Tolerant Design of Universal Soft Controller for Advanced Power Reactor)

  • 예송해;유준
    • 전자공학회논문지
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    • 제49권9호
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    • pp.279-286
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    • 2012
  • 최근 범용소프트제어기 설계는 원자력발전소의 첨단주제어실에 적용되고 있다. 범용소프트제어기는 고집적 주제어실에서 비안전 기기뿐만이 아니라 안전기기를 제어할 수 있는 소프트웨어 기반의 수동제어 수단이다. 따라서 범용소프트제어기는 신형 주제어실의 단일 워크스테이션 구현을 위한 필수적인 설계특성을 갖고 있다. 전통적인 주제어실은 컴퓨터 기반으로 하는 통합 운전원 인터페이스 체계로 대체되고 있다. 범용소프트제어기의 오작동신호 발생 가능성을 줄이기 위해 어떠한 기기의 조작을 위해서는 2단계의 구분된 운전원 조작을 요구하는 설계를 고려하였다. 범용소프트제어기 오작동 가능성은 매우 낮기 때문에 범용소프트제어기 그자체로 발전소의 트립 가능성을 증가시키지는 않는다. 범용소프트제어기는 원자력발전소의 계측제어분야/인간연계 분야의 혁신을 대표한다. 범용소프트제어기는 인간연계를 기반으로 하는 단일 표시장치에 다양한 디비젼의 제어와 표시기를 통합하고 있다. 범용소프트제어기의 고장으로부터 안전기능 수행의 영향을 막기 위해 안전기기 및 기능에는 공학적 안전설비 신호가 적용된다. 또한 안전등급 수동스위치는 범용소프트제어기의 신호보다 우선한다. 그러므로 범용소프트제어기의 오작동 신호는 안전관련 스위치로부터의 제어신호에 의해 차단되어질 수 있다.