We have successfully developed the KASI (Korea Astronomy and Space Science Institute) Solar Imaging Spectrograph (KSIS), which has been originally upgraded from the KASI solar spectrograph that was able to record solar spectra for a given slit region and to inspect the response function of narrow band filters. A prototype KSIS was developed in 2004 by using a scanning mirror in front of the spectrograph slit and a SBIG ST-8XE CCD camera. Its main disadvantage is that it took a long time (about 13 minutes) to scan a whole active region. In this work, we have upgraded the KSIS by installing a much faster Dalsa 1M15 CCD camera, which gives a data acquisition time of about 2.5 minutes. The software for KSIS was also improved for the new CCD camera on the basis of component-based development method. We have successfully made a test observation for a simple and small active region (AR10910) using the improved KSIS system. Our observations show that H-alpha images for several wavelengths have typical features in a sunspot as well as a H-alpha centerline image is quite similar to a BBSO H-alpha image, demonstrating the capability of the KSIS system.

In this paper, we have made the component-based development of observational software for KASI solar imaging spectrograph (KSIS) that is able to obtain three-dimensional imaging spectrograms by using a scanning mirror in front of the spectrograph slit. Since 2002, the KASI solar spectrograph has been successfully operated to observe solar spectra for a given slit region as well as to inspect the response functions of narrow band filters. To improve its capability, we have developed the KSIS that can perform sequential observations of solar spectra by simultaneously controlling the scanning mirror and the CCD camera via Visual C++. Main task of this paper is to introduce the development of the component-based software for KSIS. Each component of the software is reusable on the level of executable file instead of source code because the software was developed by using CBD (component-based development) methodology. The main advantage of such a component-based software is that key components such as image processing component and display component can be applied to other similar observational software without any modifications. Using this software, we have successfully obtained solar imaging spectra of an active region (AR 10708) including a small sunspot. Finally, we present solar Hα spectra (6562.81 Å) that were obtained at an active region and a quiet region in order to confirm the validity of the developed KSIS and its software.

In a companion paper, we have presented so-called Spatio-Spectral Maximum Entropy Method (SSMEM) particularly designed for Fourier-Transform imaging over a wide spectral range. The SSMEM allows simultaneous acquisition of both spectral and spatial information and we consider it most suitable for imaging spectroscopy of solar microwave emission. In this paper, we run the SSMEM for a realistic model of solar microwave radiation and a model array resembling the Owens Valley Solar Array in order to identify and resolve possible issues in the application of the SSMEM to solar microwave imaging spectroscopy. We mainly concern ourselves with issues as to how the frequency dependent noise in the data and frequency-dependent variations of source size and background flux will affect the result of imaging spectroscopy under the SSMEM. We also test the capability of the SSMEM against other conventional techniques, CLEAN and MEM.

통증은 다른 일반 감각과는 달리 감각적인 면과 정서적인 면이 있어, 인격, 기대, 암시, 과거 통증경험과 같은 개인의 심리적 특성이나 사회문화적 환경 등 여러 요인에 의해 크게 영향을 받는다. 이러한 환자의 주관적인 통증의 호소를 객관화하려는 노력은 여러 통증 치료 의사들한테 많이 시도되어 왔으나 아직도 정확한 객관적인 진단방법이 나타나고 있지 않다. 최근에 PET이나 fMRI의 등장은 이러한 면에서 통증에 관한 연구를 하는 학자들에게 커다란 도움을 주고 있고 현재에도 이러한 뇌 기능적 자기공명영상을 이용한 많은 연구결과들이 보고되고 있다. 뇌는 어떠한 기능을 수행하기 위하여 특정부위의 뇌 신경활동이 항진되면 이와 함께 그 부위의 국소적 뇌 혈류 및 대사가 증가하는 것으로 알려져 있다. 이러한 생리적 변화를 이용하여 뇌에 국소적 신경활성화가 생기는 위치를 mapping 할 수 있다. mapping 대상 뇌 기능은 지각, 운동, 기억, 언어 등의 기능에서 출발하여 최근 감정, 정서, 사회적 인식, 도덕적 판단, 의식, 마음까지 조사대상이 넓어지고 있다. 본 발표에서는 이러한 뇌 기능 영상기법에 대한 내용과 뇌 기능 영상 기법을 이용하여 통증의 평가를 어떻게 할 수 있는지를 알아보고자 한다.