잔존 전치를 통해 수직고경을 결정한 양악 임시즉시의치 및 총의치 수복 증례

정세연,김성준,방대연 대한통합치과학회 2020 대한통합치과학회지 Vol.9 No.1

In patients who faced loss of all natural teeth, one of many choices is fabrication of interim immediate denture. This has a lot of clinical advantages. It can help the patient masticate and provide emotional stability because there is no need to stay edentulous without denture. In addition, it helps to maintain support and tension of muscles around mouth, vertical dimension when occlusion, and facial appearance. In this case of a 69-years-old male patient with few remaining anterior teeth which need to be extracted, interim immediate denture (IID) was used to improve patient’s convenience. Furthermore, maintenance of occlusal vertical dimension (OVD) and centric occlusion with existing interocclusal contacts was helpful. The final complete dentures showed appropriate vertical dimension and the patient was satisfied with the new dentures in respect of functional and esthetic aspects.

강화학습을 이용한 엣지 컴퓨팅 환경에서의 Live Migration 정책 제어 연구

정세연,홍원기,홍지범,유재형 한국통신학회 2022 KNOM Review Vol.25 No.1

To meet various service requirements in the 5G era, edge computing has become prevalent to provide not only operators with the efficiency in resource management but also users with the improved quality of experience. Dynamic service placement via live migration, which moves any service instances to a remote host while preserving the availability, is a persistent decision making process for providers to optimize their service arrangement according to the changing environment. However, various service requirements and hierarchical data center networks complicate the dynamic service placement in edge computing. In this paper, a methodology for dynamic service placement in edge computing environment is proposed using deep reinforcement learning (DRL). Through iterative learning of multiple agents to the environment dynamics, the proposed DRL algorithms generate a service placement policy that migrates running services to suitable host servers so that improvement in service latency and service availability can be maximized. The proposed algorithms also relate migration cost of service downtime to service availability in terms of server failure and SLA availability. 5G 시대의 다양한 서비스 요구 사항을 충족시키기 위한 엣지 컴퓨팅(edge computing)은 서비스 공급자에게는 자원 관리의 효율성을, 사용자에게는 향상된 서비스 품질을 제공한다. Live migration 기술은 서비스 가용성을 유지하면서 임의의 서비스 인스턴스(instance)를 원격 호스트 서버로 이동시키는 기능을 지원하며, 이를 통한 동적 서비스 배치(dynamic service placement)는 변화하는 환경에 따라 서비스 배치를 최적화하는 지속적인 의사 결정 프로세스를 의미한다. 그러나 오늘날 다양한 서비스 요구 사항과 데이터 센터 네트워크의 계층 구조는 엣지 컴퓨팅의 관리 복잡성을 증가시키며, 이는 동적 서비스 배치 결정을 어렵게 만든다. 본 논문에서는 Deep Reinforcement Learning (DRL)을 이용한 엣지 컴퓨팅 환경에서의 동적 서비스 배치 방법론을 제안한다. 제안하는 DRL 알고리즘은 환경에 대한 강화학습 에이전트(agent)의 반복 경험(학습)을 통해 서비스 인스턴스를 보다 적절한 호스트 서버로 migration시킴으로써 서비스 지연시간 및 서비스 가용성을 개선시킨다. 또한 서버 장애 및 migration 비용에 대한 모델링을 통해 각 서비스의 가용성에 대한 Service-Level Agreement (SLA)를 고려한다.

네트워크 분석을 통한 한국 신발산업의수출 중심성 분석 - HS CODE 제6404호를 중심으로 -

정세연,이춘수 한국무역보험학회 2018 무역금융보험연구 Vol.19 No.1

In this study, the Korean footwear industry was a major industry, but now it is being called a declining industry. However, through the fourth industrial revolution, the trade structure of HS 6404 (made up of textile materials of footwear upper) was analyzed by applying the flow, direction and structure complexity of the international trade network of the world shoe industry. The purpose of this study is to identify the export trade network centrality structure and to propose countermeasures. In this study, we analyzed NetMiner 4.0 program based on export statistical data of 69 countries. The results of the study are as follows. HS 6404 Export trade linkage Degree centrality of footwear (outer soles of rubber, plastic, leather composition leather, upper fabric made of textile fibers) centered in China, Vietnam, Belgium, Indonesia and Germany in 2015 Respectively. Export trade Closeness centrality was analyzed in order of China, Italy, Germany, Spain, and France in 2015. Export trade Betweenness centrality was analyzed in order of Italy, Spain, USA, Germany, and Arab emile in 2015. In this study, we extracted and analyzed the information of shoes industry statistics provided by the shoe industry promotion center, and the information on imports and exports of the shoes. In order to foster shoes industry in Korea through network export centric analysis, introduction of fully automated production method of shoe, development of unique brand, and utilization of national brand through Korean wave culture were suggested. The limitations of this study are missing the HS6401 ~ 6406 analysis and the OEM export statistics data. 우리나라 신발산업은 과거 성장기 주요 산업이었으나 현재는 쇠퇴산업으로 불리고 있다. 하지만 제 4차 산업혁명을 통해 새로운 경쟁 산업으로 부각되고 있다. 우리나라 신발산업은 한때 저임금과 뛰어난 제조기술로 국제적인 경쟁력을 갖추었다. 하지만 급격한 경제 성장과 정책으로 인해 산업구조의 고도화로 이어졌다. 인건비의 상승, 원재료 가격의 상승, 지가 상승 등의 어려움이 겹쳤다. 글로벌 기업의 OEM생산기지의 이전 등이 겹쳐 우리나라의 신발산업은 쇠퇴 할 수밖에 없었다. 본 연구의 목적은 우리나리 신발산업의 수출 무역네트워크 중심성 구조를 파악하여 대응방안을 제시하는 것이 목적이다. 이를 위해 본 연구에서는 69개 국가의 국가 간 수출입통계정보를 바탕으로 NetMiner 4.0 프로그램을 이용하여 분석하였다. 분석결과, 2015년 기준으로 HS CODE 제6404호 신발류(바깥바닥을 고무·플라스틱·가죽 콤퍼지션 레더로 만들고, 갑피를 방직용 섬유로 만든 것)의 수출 무역 연결정도 중심성은 중국, 베트남, 벨기에, 인도네시아, 독일 순으로 분석되었다. 수출 무역 근접 중심성은 중국, 이탈리아, 독일, 스페인, 프랑스 순으로 분석되었다. 수출 무역 매개 중심성은 이탈리아, 스페인, 미국, 독일, 아랍에미리트 순으로 분석되었다. HS CODE 제6404호의 신발무역 네트워크 분석을 종합해 보면 우리나라의 경우 연결·근접·매개 중심성이 경제규모에 비해 하위그룹에 위치하고 있음을 알 수 있다. 이러한 신발 수출 무역 네트워크 분석결과를 통하여, 우리나라 신발산업 육성방안으로 신발 완전 자동화 생산방식 도입, 고유 브랜드 육성, 한류문화를 통한 국가브랜드 활용을 제시하였다. 본 연구의 한계점으로 HS6401∼6406 분석누락과 OEM 수출 통계자료를 활용 못한 점이 있다.

에어택시 수단선택행태모형 구축을 위한 사전 연구 -공항 접근행태를 중심으로-

정세연,김명현 대한교통학회 2019 대한교통학회 학술대회지 Vol.81 No.-

정서지능이론을 기반으로 한 아동 퍼스널 컬러의 정서반응 효과

정세연 한국색채학회 2015 한국색채학회 학술대회 Vol.2015 No.11

말더듬성인의 조음기관 구조 및 기능 특성

정세연,신문자 한국청각언어재활학회 2016 Audiology and Speech Research Vol.12 No.3

Purpose: The importance of oral motor abilities in stuttering occurrences has been continuously debated and discussed. The purpose of this study was to determine whether there would be a difference in speech mechanism and motor abilities between adults who stutter (AWS) and adults who do not stutter (AWNS). Methods: A total of 34 subjects participated in this study: 17 AWS (14 males and 3 females; mean age, 32 yrs 9 months) over 20 years old and 17 AWNS matched chronological age and sex with the former group. Each of the participants was directly examined on the basis of 13 items of structure and 17 items of function of speech mechanism. Results: There was no significant difference in speech structure and function between the two groups. Conclusion: In speech mechanism and motor ability assessment, a significant difference was not found in any areas, including structure and function, between AWS and AWNS. However, there may be individual variations, and for this reason, if there are any areas that might be problematic, even in the most fundamental areas, this should be taken into careful consideration. More considerable examination should be taken than direct observation of oral structure and function when it is doubtful.

중풍후우울증 환자에 대한 향기침요법의 임상적 연구

정세연,황재웅,김석민,정재한,최창민,정우상,문상관,조기호,김영석,선종주,Chung, Sae-Yun,Hwang, Jae-Woong,Kim, Seok-Min,Jung, Jae-Han,Choi, Chang-Min,Jung, Woo-Sang,Moon, Sang-Kwan,Cho, Ki-Ho,Kim, Young-Suk,Sun, Jong-Joo 대한한방내과학회 2006 大韓韓方內科學會誌 Vol.27 No.2

Objectives : In this study we investigated BDI(Beck Depression Inventory) improvement of poststroke depression Patients who took the acupuncture with aromatherapy, in order to examine its capacity as a new treatment and to establish a primary data for further studies of developments of diverse Practical acupunctures. Methods : Physicians applied the acupuncture with aromatherapy every day for two weeks. We had evaluated baseline characteristics and BDI of all Patients, and revaluated BDI and examined the side effects two weeks later. The qualified Patients were classified into two groups, depression group (more than 10 points and 10 in BDI) and non-depression group (less than 10 points in BDI) according to the baseline BDI. Results : The study was completed with 27stroke patients. The acupuncture with aroma therapy was applied in 18 post-stroke depression patients and 9 non-depression patients for 2 weeks. And the result showed that the BDI scores in the depression group decreased to $16.5{\pm}11.1$ after the treatment (compared to $24.4{\pm}11.5$ before the treatment). so proved the significant effect on post-stroke depression of the acupuncture. On the other hand. the scores in the non-depression group increased to $9.2{\pm}9.5$ (compared to $3.3{\pm}3.0$). Conclusions : The acupuncture with aromatherapy applied on post-stroke depression patients showed the effect of BDI improvement. Further researches are needed to evaluate the distinct functional mechanism of acupuncture with aromatherapy, and to estimate its effectiveness by well-designed randomized controlled trial.

데드리프트 시 지지면에 따른 몸통 및 하지 근육의 활성도 비교

정세연,손상준,이형석,이정훈,백지원,양성빈,최원재,홍성균,송선해,이규창,Jeong, Seyeon,Son, Sangjun,Lee, Hyeongseok,Lee, Jeonghoon,Baek, Jiwon,Yang, Seongbin,Choi, Wonjae,Hong, SoungKyun,Song, Sunhae,Lee, GyuChang 대한고유수용성신경근촉진법학회 2022 PNF and Movement Vol.20 No.1

Purpose: The aim of this study was to compare trunk and lower extremity muscle activity during deadlift on stable - and unstable surfaces. Methods: Twenty healthy men participated in this study. The participants performed deadlift exercise on both a stable surface and an unstable surface. During the deadlift, the activities of the trunk and lower extremity muscle were collected by using electromyography. Results: The results showed that the electromyographic activity of the gluteus maximus significantly increased during deadlift on an unstable surface compared to on a stable surface (p <0.05). However, in the electromyographic activities of the rectus femoris, biceps femoris, and erector spinae, there were no significant differences (p >0.05). Conclusion: The finding that the electromyographic activity of the gluteus maximus increases significantly during deadlift on an unstable surface compared to stable one could be used to develop an efficient exercise program.

머신러닝을 이용한 선제적 VNF Live Migration

정세연,유재형,홍원기 한국통신학회 2021 KNOM Review Vol.24 No.1

VM (Virtual Machine) live migration is a server virtualization technique for deploying a running VM to another server node while minimizing downtime of a service the VM provides. Currently, in cloud data centers, VM live migration is widely used to apply load balancing on CPU workload and network traffic, to reduce electricity consumption by consolidating active VMs into specific location groups of servers, and to provide uninterrupted service during the maintenance of hardware and software update on servers. It is critical to use VM live migration as a prevention or mitigation measure for possible failure when its indications are detected or predicted. In this paper, we propose two VNF live migration methods; one for predictive load balancing and the other for a proactive measure in failure. Both need machine learning models that learn periodic monitoring data of resource usage and logs from servers and VMs/VNFs. We apply the second method to a vEPC (Virtual Evolved Pakcet Core) failure scenario to provide a detailed case study. VM (Virtual Machine) live migration은 VM에서 동작하는 서비스의 downtime을 최소화하면서 해당 VM을 다른 서버 노드로 이전시키는 서버 가상화 기술이다. 클라우드 데이터센터에서는 로드밸런싱, 특정 위치 서버로의 consolidation 통한 전력 소비 감소, 서버 유지보수(maintenance) 작업 중에도 사용자에게 무중단 서비스를 제공하기 위한 목적 등으로 VM live migration 기술이 활발히 사용되고 있다. 또한 고장 및 장애 상황이 예측되거나 그 징후가 탐지되는 경우, 예방 및 완화 수단으로 활용될 수 있다. 본 논문에서 우리는 두 가지 선제적(proactive) VNF live migration 방법을 제안하며, 첫 번째 방법은 서버 로드밸런싱에 VNF live migration 기법을 사용하며 두 번째 방법은 고장 예측에 기반하여 고장 회피 목적으로 VNF live migration을 사용한다. 선제적 migration을 위한 예측에 머신러닝(기계학습)을 활용하며 실험을 통해 그 실효성을 검증한다. 특히 두 번째 방법에 대해 vEPC (Virtual Evolved Packet Core)의 고장 상황을 case study한 결과를 제시한다.

말더듬성인의 조음기관 구조 및 기능

정세연,신문자 한국언어치료학회 2015 한국언어치료학회 학술발표대회 논문집 Vol.2015 No.12