• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2003.11a
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• pp.163-167
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• 2003

In this paper, an air-suspension type RF MEMS inductor is fabricated, and an appropriate de-embedding scheme for 3-dimenstional MEMS structure is applied and verified with inductance calculation algorithm. With the presented de-embedding method, parasitics from contanct pads and feeding lines are effectively and accurately de-embedded using open and short calibration procedure, and only spiral and posts can be characterized as a high-Q inductor structure. The validity of the de-embedding method is verified by the comparison of the measured and calculated inductances of two 1.5 and 2.5 turn square spiral inductors. The open-short de-embedded inductance error is below 5% each case in comparison with the calculated value based on H.M. Greenhouse's algorithm.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.3
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• pp.310-315
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• 2003

In this paper, We introduce an embedding driven synchronization method using SC-CNN(State-Controlled Cellular Neural Network) which has the purpose to secure communication method through the embedding driven synchronization method in the SC-CNN. we proposed new embedding driven synchronization that this method is only using one state variable compare to the general driven synchronization methods which is using all state variables. In this paper, We achieved the usage of embedding driven synchronization and we also applied it to secure communication.

• Journal of Korean Medicine for Obesity Research
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• v.12 no.2
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• pp.1-7
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• 2012

Objectives: The purpose of this report was to review the clinical trials of the catgut embedding for obesity treatment. Methods: We searched the clinical trial papers with key words of obesity and catgut embedding via searching Pubmed, Scopus and KISS etc. Results: We reviewed 8 searched articles, 7 articles were conducted in China and only 1 article was published in Korea. Most of Chinese articles used acupuncture as a control group and revealed the equality or superiority of catgut embedding in body weight loss. The only Korean article, which was uncontrolled, implanted catgut in localized fat area, it had changes partially in fat thick, body size. Conclusions: The acupoint catgut embedding has the efficacy of body weight loss, but to confirm the efficacy of localized fat loss, more randomized controlled trials are needed.

• Journal of Acupuncture Research
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• v.36 no.1
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• pp.55-58
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• 2019

The aim of this study was to investigate the efficacy of treatment with thread-embedding therapy for 24 patients with hemifacial spasm (HFS). The muscle spasm of these patients was treated with thread-embedding therapy. Patients with nuchal pain were treated with tendino-musculature acupuncture in the sternocleidomastoid, splenius, and trapezius muscles. We evaluated the treatment effect using the Scott's scale, where 20, 3, 1, and 0 patients presented Scott's grade 0, grade 1, grade 2, and grade 3, respectively. The grade of the spasm intensity decreased noticeably after treatment. The results revealed that the Scott's grade changed to 0 in 83.3% of HFS patients, and 91.7% patients felt satisfied with thread-embedding therapy. These findings suggested that thread-embedding therapy was effective and can be used widely for HFS.

• Journal of Multimedia Information System
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• v.9 no.2
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• pp.93-102
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• 2022

Dependency parsing is a decision problem of the syntactic relation between words in a sentence. Recently, deep learning models are used for dependency parsing based on the word representations in a continuous vector space. However, it causes a mislabeled tagging problem for the proper nouns that rarely appear in the training corpus because it is difficult to express out-of-vocabulary (OOV) words in a continuous vector space. To solve the OOV problem in dependency parsing, we explored the proper noun embedding method according to the embedding unit. Before representing words in a continuous vector space, we replace the proper nouns with a special token and train them for the contextual features by using the multi-layer bidirectional LSTM. Two models of the syllable-based and morpheme-based unit are proposed for proper noun embedding and the performance of the dependency parsing is more improved in the ensemble model than each syllable and morpheme embedding model. The experimental results showed that our ensemble model improved 1.69%p in UAS and 2.17%p in LAS than the same arc-eager approach-based Malt parser.

• ETRI Journal
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• v.44 no.4
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• pp.599-612
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• 2022

This study focuses on improving a word embedding model to enhance the performance of downstream tasks, such as those of dialog systems. To improve traditional word embedding models, such as skip-gram, it is critical to refine the word features and expand the context model. In this paper, we approach the word model from the perspective of subword embedding and attempt to extend the context model by integrating various sentence models. Our proposed sentence model is a subword-based skip-thought model that integrates self-attention and relative position encoding techniques. We also propose a clustering-based dialog model for downstream task verification and evaluate its relationship with the sentence-model-based subword embedding technique. The proposed subword embedding method produces better results than previous methods in evaluating word and sentence similarity. In addition, the downstream task verification, a clustering-based dialog system, demonstrates an improvement of up to 4.86% over the results of FastText in previous research.

• Journal of Korean Medicine Rehabilitation
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• v.33 no.3
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• pp.129-134
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• 2023

Objectives The purpose of this study was to review the studies of catgut embedding related to obesity treatment. Methods We searched the papers with key words of obesity and catgut embedding via searching Research Information Sharing Service, DBpia, Koreanstudies Information Service System, Oriental Medicine Advanced Searching Integrated System, Scopus, PubMed. Additional data including study design, study topics, characteristics of participants and treatment, outcomes was extracted from full text of each study. Results There were nine studies about the catgut embedding related to obesity treatment. Five articles were conducted in China, two articles were conducted in Mexico, and two articles was published in Korea. Analysis of seven experimental studies and two observational studies were conducted to describe each research subject, method, and research results. Conclusions More interest and further research will be needed on catgut embedding related to obesity treatment in the Korean medicine to achieve clinical application and to develop treatment protocols for the obesity disease.

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.1
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• pp.25-35
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• 2017

About 60% to 90% of a total population experience low back pain at least once of life, and about 35% to 79% among them experience a recurrent and chronic low back pain. thread-embedding therapy is mainly used to improve appearance or treat obesity in early stage, but recently it is also used to treat musculoskeletal pain. This study aimed to search Chinese study using thread-embedding therapy on low back pain and to analyse their methodology. Three Chinese database(CNKI(www.cnki.net), WANFANG(www.wanfangdata.com), WEIPU(www.cqvip.com)) were searched for clinical study of thread-embedding therapy up to March 2016. The characteristics of included studies and regimen of thread-embedding in those studies were analyzed. The total 21 studies (4 case studies, 16 non-randomized controlled trials, 1 randomized controlled trial) were included. All studies on thread embedding treatment of low back pain reported that its effectiveness was very good. The most frequently used acupoints was Ashi acupoints and acupoints on bladder meridian(BL) or governor vessel(GV). Thread-embedding therapy is considered very useful for low back pain in Traditional Chinese medicine. Further studies are needed to investigate the effect of thread-embedding therapy and to expand its application. This study is limited in that the literature search in the Chinese database were restricted.

• Journal of Broadcast Engineering
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• v.16 no.5
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• pp.801-810
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• 2011

This paper proposes a new lossless data embedding algorithm on spatial domain of digital images. A single key parameter is required to embed and extract data in the algorithm instead of embedding any additional information such as the location map. A $3{\times}3$ window slides over the cover image by one pixel unit, and one bit can be embedded at each position of the window. So, the ideal embedding capacity equals to the number of pixels in an image. For further increase of embedding capacity, new weight parameters for the estimation of embedding target pixels have been used. As a result, significant increase in embedding capacity and better quality of the message-embedded image in high capacity embedding have been achieved. This algorithm is verified with simulations.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.45-53
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• 2018

Recently, studies about bilingual word embedding have been gaining much attention. However, bilingual word embedding with Korean is not actively pursued due to the difficulty in obtaining a sizable, high quality corpus. Local embeddings that can be applied to specific domains are relatively rare. Additionally, multi-word vocabulary is problematic due to the lack of one-to-one word-level correspondence in translation pairs. In this paper, we crawl 868,163 paragraphs from a Korean-English law corpus and propose three mapping strategies for word embedding. These strategies address the aforementioned issues including multi-word translation and improve translation pair quality on paragraph-aligned data. We demonstrate a twofold increase in translation pair quality compared to the global bilingual word embedding baseline.