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방사선 치료중인 암환자의 임상적 특징과 정신과 장애의 관련성
김호찬,문창우,박시성,Kim, Ho-Chan,Moon, Chang-Woo,Park, Si-Sung 한국정신신체의학회 1999 정신신체의학 Vol.7 No.1
Objects : Cancer patients receiving radiotherapy have many psychological problems. Those problems depend on clinical factors of cancer and the characteristics of patients. This study was designed to estimate the morbidity of psychiatric disorder and to investigate the relationship between psychiatric disorders and clinical variables. Methods : The subjects were 47 patients who had been treated by radiotherapy. Psychiatric disorder was diagnosed according to DSM-IV. The authors assessed the relation between psychiatric disorder and demographic features, clinical features of cancer such as site, duration, frequency of recurrence of cancer, and patients' awareness of disease and expectation of outcome of radiotherapy. Results : 21 patients(44.7%) had a psychiatric disorder. The most common psychiatric disorder were adjustment disorder(66.7%), and the next major depressive disorder(23.8%). There was a significant positive relationship between psychiatric disorder and recurrence of cancer, patients' expectation of poor outcome after radiotherapy. Psychiatric morbidity was significantly low in those who had no evidence of recurrence and who considered radiation treatment as curative. However, site and duration of cancer, patients' awareness about serious illness were not related with psychiatric disorder. Conclusion : Psychiatric disorders are common among cancer patients on radiotherapy. Further clinical attention and effective treatment of psychiatric complication in cancer patients are needed not only for reducing symptoms but for better adjustment.
Electrical Resistance Tomography의 영상복원 기법의 비교
김호찬,부창진,이윤준,Kim, Ho-Chan,Boo, Chang-Jin,Lee, Yoon-Joon 한국조명전기설비학회 2005 조명·전기설비학회논문지 Vol.19 No.3
Electrical resistance tomography(ERT)는 적절하게 설계된 전류를 대지 지하에 주입하여 이에 따른 인가전압을 대지 경계에서 측정한 후 이를 근거로 ERT의 영상복원 알고리즘에서 대지 지하의 대지저항률 분포를 얻고 대지 지하에 뭍힌 물체를 크기와 위치, 그리고 저항률에 대한 특성을 파악할 수 있는 기술이다. 본 논문에서는 ERT의 영상복원 기법으로 Gauss-Newton, TLS와 SIRT 방법들을 살펴본다. 컴퓨터 시뮬레이션을 통해 TLS 방법을 이용한 ERT 영상복원의 성능이 Gauss-Newton와 SIRT방법에 의해 얻어진 결과보다 향상되는 것을 보이도록 한다. Electrical resistance tomography(ERT) maps resistivity values of the soil subsurface and characterizes buried objects. The characterization includes location, size and resistivity of buried objects. In this paper, Gauss-Newton, truncated least squares(TLS) and simultaneous iterative reconstruction technique(SIRT) methods are presented for the solution of the ERT image reconstruction. Computer simulations show that the spatial resolution of the reconstructed images by the TLS approach is improved as compared to those obtained by the Gauss-Newton and SIRT method.
Multi-Jet Modeling 3차원 프린트를 위한 표면거칠기와 제작시간의 저감을 위한 모델 분할제작
김호찬,이인탁,이경창,이석,이석희,Kim, Ho-Chan,Lee, In-Tak,Lee, Kyung-Chang,Lee, Suk,Lee, Seok-Hee 대한기계학회 2003 大韓機械學會論文集A Vol.27 No.5
3D printers are widely used to verify the designs in the early stage of product development, and are required to have short build time. However, the build time is still too long for a quick design review for engineers. This research focuses on how to split the prototype in order to reduce the build time and improve surface roughness. In order to verify the feasibility of prototype splitting, the build time and the roughness have been experimentally measured for various parts and build orientations. Based on the experimental results an expert system was developed for splitting the original CAD mod el by using an efficient splitting method. It can recommend a splitting plane based on build time, surface roughness and the number of divided parts. It is shown that the model splitting reduces the build time significantly and improves surface quality wit bout rough surfaces where the support was removed.
김호찬,이석희,Kim, Ho-Chan,Lee, Seok-Hee 대한기계학회 2002 大韓機械學會論文集A Vol.26 No.11
The surfaces of prototypes become rough due to the stair-stepping which is the inevitable phenomenon in the Rapid Prototypes are not used only for the verification of feature. The grinding, coating, or the composition of them is a main operation in post-processing in which lots of costs and long build time are needed. The solution is proposed to increase the efficiency of rapid prototyping by minimizing or removing the composition of them is a main operation in post-processing in which lots of costs and long build time are needed. the solution is proposed to increase the efficiency of rapid prototyping by minimizing or removing the regions for post-processing. the factors to cause the surface roughness and their effects are analyzed through the experiments. Software modules are developed to predict the surface roughness of each face in the prototyping with the result. An experimental compensation method is developed to apply the modules to various RP equipments, materials and build styles. The build direction is searched with use of genetic algorithm to maximize the total areas of the surface of which roughness is better than the user-defined value.
시뮬레이티드 어닐링을 이용한 전기임픽던스단층촬영법의 영상복원
김호찬,부창진,이윤준,Kim Ho-Chan,Boo Chang-Jin,Lee Yoon-Joon 대한전기학회 2003 전기학회논문지 D Vol.52 No.2
In electrical impedance tomography(EIT), various image reconstruction algorithms have been used in order to compute the internal resistivity distribution of the unknown object with its electric potential data at the boundary. Mathematically the EIT image reconstruction algorithm is a nonlinear ill-posed inverse problem. This paper presents a simulated annealing technique as a statistical reconstruction algorithm for the solution of the static EIT inverse problem. Computer simulations with the 32 channels synthetic data show that the spatial resolution of reconstructed images by the proposed scheme is improved as compared to that of the mNR algorithm or genetic algorithm at the expense of increased computational burden.
재료압출 적층제조 공정을 위한 노즐세척에서의 화상인식 기술의 활용
김호찬(Ho-Chan Kim),배용환(Yong-Hwan Bae),윤해룡(Hae-Yong Yun),이인환(In-Hwan Lee) 한국기계가공학회 2024 한국기계가공학회지 Vol.23 No.11
The additive manufacturing technology using the material extrusion method applies pressure to the back of a fluid material mixture and extrudes it through a nozzle to form the desired shapes. This process is one of the– easiest fabrication methods among the additive manufacturing technologies for forming arbitrary shapes. Therefore, it is a commonly used process for the production of educational or hobby devices. Recently, several studies have been conducted on the application of this technology for mixing solid powders with fluids. These mixtures can flow and can be used as materials for performing various special functions, such as increasing the strength or conductivity. However, in these processes, the problem of clogging in which the solid material blocks the nozzle occurs very frequently. This significantly reduces the stability of the process and causes fabrication failures. Nozzle clogging is primarily caused by the phase separation of the mixture or solidification of the fluid material. In this study, image recognition technology is used to confirm the flow of materials or clogged states during the nozzle-cleaning process. This paper shows that the object detection can identify the clogged state with good precision when it is actually clogged.