온라인 텍스트종류로서의 상품평 연구 - 독일 아마존 온라인 쇼핑몰의 ‘마스크’ 상품평을 중심으로

이도영 ( Lee¸ Doyoung ) 한국독일언어문학회 2021 독일언어문학 Vol.- No.93

본 논문에서는 온라인 텍스트종류로서 ‘상품평’의 특성을 살펴본다. 우선 ‘상품평’은 텍스트 유형학적으로 ‘비평’의 하위 유형에 속하며, 롤프의 텍스트 유형 분류에 따라 ‘판정적’ 실현 조건과 ‘기술적’ 실현 방식을 통해 ‘제보’ 기능이 나타난다. ‘상품평’은 공공적 행위영역에서 이루어지는 온라인 쇼핑몰의 게시글로서 주로 ‘구매동기’, ‘상품 사용담 (정보 + 평가)’, ‘추천/재구매 의사 여부’의 세 부분으로 구성된다. 이 가운데 정보와 평가로 이루어진 ‘상품 사용담’이 ‘상품평’의 핵심 부분이라고 말할 수 있다. 먼저 ‘구매 동기’에서는 사게 된 원인을 기술하거나 목적을 기술하는데, 원인 기술에서는 논증 구조가 나타난다. ‘상품평’의 핵심 부분인 ‘상품 사용담’은 주로 ‘기술형’ 전개 방식을 취하고 있으며, 마스크나 그 외의 대상을 주어로 하여 자신의 사용담을 일반화시켜 기술하거나, 주어 ‘ich’를 사용하여 주관적 경험임을 밝히며 기술한다. ‘서사형’ 전개 방식도 나타나며, 시제 전환이 특징적이다. ‘논증형’ 전개 방식은 ‘기술형’과 ‘서사형’에 부분적으로 나타나며, ‘인과관계’를 보여준다. ‘상품평’은 제보 기능과 호소 기능의 다기능 속성을 지닌 텍스트이다. In diesem Beitrag werden die Eigenschaften von “Kundenrezensionen” als eine Online-Textsorte untersucht. Zunächst gehören “Kundenrezensionen” typologisch zum Subtyp der “Rezensionen”. Nach Rolfs Textsortenklassifikation weisen “Kundenrezensionen” durch “judizierende” Realisierungsbedingungen und “darstellende” Realisierungsmethoden auf die “assertive” Funktion hin. “Kundenrezensionen” sind die Beiträge in einem Online-Shop, die im Bereich des öffentlichen Verhaltens im Internet erstellt werden. Die “Kundenrezensionen” bestehen im Wesentlichen aus drei Teilen: “Kaufmotiv”, “Erfahrungen mit dem Produkt (Information + Bewertung)” und “Ob eine Empfehlung/Wiederkaufabsicht besteht”. Unter ihnen ist der Teil “Erfahrungen mit dem Produkt”, der aus Informationen und Bewertungen besteht, der Kern der “Kundenrezension”. Es gibt zwei Arten von “Kaufmotiven”: Zunächst wird die Begründung für den Kauf zusammen mit einem Argument gegeben. Zweitens wird das Kaufmotiv zusammen mit dem Verwendungszweck beschrieben. Die “Erfahrungen mit dem Produkt” zeigen drei Entfaltungsverfahren. Durch das “darstellende” Entfaltungsverfahren werden die eigenen Erfahrungen mit den Produkten verallgemeinert beschrieben oder subjektiv mit dem Subjekt “ich” beschrieben. Es erscheint auch ein “narratives” Entfaltungsverfahren, in dem ein Tempuswechsel auftritt. Das “argumentative” Entfaltungsverfahren erscheint teilweise als “darstellend” und “narrativ” und zeigt “Kausalität”. “Kundenrezensionen” haben multifunktionale Eigenschaften. Durch Information und Bewertung wird auf die Informationsfunktion hingewiesen. Sprechakte wie “melden”, “beschreiben”, “zusammenfassen” und “bestätigen” werden realisiert, um Informationen darzustellen. Um eine Bewertung auszudrücken, werden Sprechakte wie “bewerten” und “argumentieren” realisiert. Die Appellfunktion wird durch Sprechakte wie “empfehlen”, “nicht empfehlen”, “argumentieren”, “anreizen” und “anweisen” realisiert.

고분자 복합재의 물리화학적 및 전자파차폐 특성에 미치는 탄소나노튜브의 불소화 영향

이시은(Si-Eun Lee),김도영(Doyoung Kim),이만영(Man Young Lee),이민경(Min-Kyung Lee),정의경(Euigyung Jeong),이영석(Young-Seak Lee) 한국고분자학회 2015 폴리머 Vol.39 No.1

탄소나노튜브의 불순물을 제거하고 에폭시 수지와의 계면접착력 향상과 에폭시 내 탄소나노튜브의 분산성 증가를 위하여 불산(hydrofluoric acid)으로 그 표면을 개질하였다. 표면 처리된 탄소나노튜브의 결정성은 광전자 분광기(X-ray photoelectron spectroscopy)와 라만 분광기(Raman spectroscopy)를 통해 분석하였고, 인장시험으로 기계적 강도 분석을 실시하였다. 표면 처리된 탄소나노튜브/에폭시 복합재의 인장강도는 미처리 탄소나노튜브/에폭시 복합재와 비교하여 최대 약 33% 향상됨을 확인할 수 있었고, 탄소나노튜브/에폭시 복합재의 전자파차폐 특성은 탄소나노튜브의 불산처리 농도에 따라 증가하는 경향을 보였고 25%의 농도로 처리되었을 때, 최대 전자파차폐 특성을 보였다. 그러나 기계적 특성 및 전자파차폐 특성은 50% 이상의 불산 농도로 처리된 탄소나노튜브/에폭시 복합재에서 오히려 감소하였으며 이는 높은 농도의 불산으로 인하여 탄소나노튜브의 표면 결정성 감소 및 고유 특성에 영향을 미친 것으로 파악된다. 고분자 복합재의 기계적, 전기적 특성 향상은 불산 처리로 인한 탄소나노튜브의 결정성 향상과 에폭시 수지 내에 분산성의 증가에 기인하였다. Mutli-walled carbon nanotubes (MWCNTs) were surface-modified by a hydrofluoric acid solution to remove impurities and improve interfacial bonding and dispersion of nanotubes in an epoxy matrix. The crystallinity on the surface of treated MWCNTs was investigated by X-ray photoelectron spectroscopy and Raman spectroscopy. The mechanical properties were characterized by tensile test, and the enhancement of mechanical properties of the modified MWCNTs/epoxy composites was indicated by a 33% increase in tensile strength. The electromagnetic interference shielding effectiveness (EMI-SE) of modified MWCNTs/epoxy composites was improved with an increase in concentration of hydrofluoric solution, and EMI-SE showed the maximum increase with 25% HF. However, mechanical and EMI-SE properties didn’t show further increase with over 50% HF concentration because the properties of MWCNTs were influenced by degradation of crystallinity and intrinsic properties of MWCNTs. The mechanical and electrical property enhancements of the polymer composites are attributed to the modification of MWCNTs which improve crystallinity of MWCNTs and dispersion in the epoxy resin.

Graph Neural Network-based Virtual Network Function Management

Doyoung Lee,Dongnyeong Heo,Heeyoul Choi,Jae-Hyoung Yoo,James Won-Ki Hong,Hee-Gon Kim,Suhyun Park,Stanislav Lange 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09

Software-Defined Networking (SDN) and Network Function Virtualization (NFV) help reduce OPEX and CAPEX as well as increase network flexibility and agility. But at the same time, operators have to cope with the increased complexity of managing virtual networks and machines, which are more dynamic and heterogeneous than before. Since this complexity is paired with strict time requirements for making management decisions, traditional mechanisms that rely on, e.g., Integer Linear Programming (ILP) models are no longer feasible. Machine learning has emerged as a possible solution to address network management problems to get near-optimal solutions in a short time. In this paper, we propose a Graph Neural Network (GNN) based algorithm to manage VNFs. The proposed model solves the complex VNF management problem in a short time and gets near-optimal solutions.

Comparative Biodistribution Study of Baculoviral and Adenoviral Vector Vaccines against SARS-CoV-2

Lee Hyeon Dong,Chun Jungmin,Kim Sehyun,Aleksandra Nowakowska,Lee Chanyeong,Yoon Doyoung,Lee Hee-jung,Kim Young Bong 한국미생물·생명공학회 2024 Journal of microbiology and biotechnology Vol.34 No.1

Various types of vaccines have been developed against COVID-19, including vector vaccines. Among the COVID-19 vaccines, AstraZeneca’s chimpanzee adenoviral vaccine was the first to be commercialized. For viral vector vaccines, biodistribution studies are critical to vaccine safety, gene delivery, and efficacy. This study compared the biodistribution of the baculoviral vector vaccine (AcHERV-COVID19) and the adenoviral vector vaccine (Ad-COVID19). Both vaccines were administered intramuscularly to mice, and the distribution of the SARS-CoV-2 S gene in each tissue was evaluated for up to 30 days. After vaccination, serum and various tissue samples were collected from the mice at each time point, and IgG levels and DNA copy numbers were measured using an enzyme-linked immunosorbent assay and a quantitative real-time polymerase chain reaction. AcHERV-COVID19 and Ad-COVID19 distribution showed that the SARS-CoV-2 spike gene remained predominantly at the injection site in the mouse muscle. In kidney, liver, and spleen tissues, the AcHERV-COVID19 group showed about 2– 4 times higher persistence of the SARS-CoV-2 spike gene than the Ad-COVID19 group. The distribution patterns of AcHERV-COVID19 and Ad-COVID19 within various organs highlight their contrasting biodistribution profiles, with AcHERV-COVID19 exhibiting a broader and prolonged presence in the body compared to Ad-COVID19. Understanding the biodistribution profile of AcHERV-COVID19 and Ad-COVID19 could help select viral vectors for future vaccine development.

Synergistic effects of dietary ascorbic acid, -tocopherol and arachidonic acid on non-specific immune response, tissue concentration and gonad histology in female broodstock Japanese eel, Anguilla japonica

Doyoung Kim,Seunghan Lee,Youngjin Park,Dae-Jung Kim,Dae-Jung Kim,Bae Ik Lee,Sungchul C.Bai 한국수산해양기술학회(구 한국어업기술학회) 2015 한국수산해양기술학회 학술발표대회 Vol.2015 No.10

Q-learning based Service Function Chaining using VNF Resource-aware Reward Model

Doyoung Lee,Jae-Hyoung Yoo,James Won-Ki Hong 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09

With the advent of the 5G network era, it is required to flexibly build and manage networks to meet rapidly changing service requirements. Software-defined networking (SDN) and network function virtualization (NFV) are key technologies that enable flexible network management by transforming networks into software-based networks. Besides, NFV has the advantage of virtualizing network functions, operating those on commercial (COTS) servers, and managing the network functions dynamically. However, the numerous virtual networks and resources created by NFV can cause problems complicating network management. To solve the problems, research on managing complex NFV environments using artificial intelligence (AI) has recently attracted attention. In particular, service function chaining (SFC) is one of the essential NFV technologies, and it is required to create an efficient SFC path in dynamic networks. In this paper, we propose a method of finding optimal SFC path considering the resource utilization of virtual network function (VNF) and VNF placement by using Q-learning, one of the reinforcement learning (RL) algorithms.

The Important Factor associated with Patients in AVF First Policy

DOYOUNG LEE 대한외과학회 2022 대한외과학회 학술대회 초록집 Vol.2022 No.5

Aircraft Motion Identification Using Sub-Aperture SAR Image Analysis and Deep Learning

Doyoung Lee,Duk-jin Kim,Hwisong Kim,Juyoung Song,Junwoo Kim Korean Society of Remote Sensing 2024 大韓遠隔探査學會誌 Vol.40 No.2

With advancements in satellite technology, interest in target detection and identification is increasing quantitatively and qualitatively. Synthetic Aperture Radar(SAR) images, which can be acquired regardless of weather conditions, have been applied to various areas combined with machine learning based detection algorithms. However, conventional studies primarily focused on the detection of stationary targets. In this study, we proposed a method to identify moving targets using an algorithm that integrates sub-aperture SAR images and cosine similarity calculations. Utilizing a transformer-based deep learning target detection model, we extracted the bounding box of each target, designated the area as a region of interest (ROI), estimated the similarity between sub-aperture SAR images, and determined movement based on a predefined similarity threshold. Through the proposed algorithm, the quantitative evaluation of target identification capability enhanced its accuracy compared to when training with the targets with two different classes. It signified the effectiveness of our approach in maintaining accuracy while reliably discerning whether a target is in motion.

Feasibility Study of Utilization of Action Camera, GoPro Hero 4, Google Glass, and Panasonic HX-A100 in Spine Surgery

Lee, Chang Kyu,Kim, Youngjun,Lee, Nam,Kim, Byeongwoo,Kim, Doyoung,Yi, Seong Lippincott Williams & Wilkins 2017 Spine Vol.42 No.4

<P>Conclusion. Action cameras have the potential to improve patient safety, operator comfort, and procedure efficiency in the field of spinal surgery and broadcasting a surgery with development of the device and applied program in the future.</P>

HexaBraille : touch-based text entry method on smart watches for blind users

Doyoung Lee,Songil Lee,Jihhyeon Yi,Hwayeong Kang,Ian Oakley 대한인간공학회 2017 대한인간공학회 학술대회논문집 Vol.2017 No.4