• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.303-306
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• 1996

We propose a robust tuning method of the quadratic criterion based iterative learning control(Q-ILC) algorithm for discrete-time linear batch system. First, we establish the frequency domain representation for batch systems. Next, a robust convergence condition is derived in the frequency domain. Based on this condition, we propose to optimize the weighting matrices such that the upper bound of the robustness measure is minimized. Through numerical simulation, it is shown that the designed learning filter restores robustness under significant model uncertainty.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.176.4-176
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• 2001

In this paper, a novel type of iterative learning controller is studied. The proposed learning algorithm utilizes not only the error signal of the previous iteration but also the delayed error signal of the current iteration. The delayed error signal is adopted to improve the convergence speed. The convergence condition is examined and the result shows that the proposed learning algorithm shows the fast convergence speed under the same convergence condition of the traditional iterative learning algorithm. The simulation examples are presented to confirm the validity of the proposed ILC algorithm.

• Proceedings of the KIPE Conference
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• 2019.07a
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• pp.118-120
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• 2019

제안하는 논문은 3상 4선식 방식의 Interlinking Converter(ILC)를 사용하여 DC bus와 AC bus를 연계 한다. 역상분 성분은 정상분 성분과 다르게 전압 평형시 발생하지 않다가 전압 불평형시 발생하기 때문에 역상분을 추출하여 제어함으로써 불평형을 개선한다. Psim 시뮬레이션을 통해 본 논문의 타당성을 검증한다.

• Proceedings of the PSK Conference
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• 2003.04a
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• pp.218.1-218.1
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• 2003

Dietary organosulfur compounds have been shown to inhibit the proliferation of tumor cells. Synthetic sulfur-containing compounds including oltipraz exert chemopreventive and hepatoprotective effects. We previously showed that synthetic allylthiopyridazine derivatives designated as K compounds induced apoptosis in SK-Hep-1 hepatocarcinoma cells (Eur. J. Cancer: 37, 2104-10, 2001). (omitted)

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.2
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• pp.693-698
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• 2012

Breast cancer is the most frequent cancer of women worldwide, with considerable geographic and racial/ethnic variation. Data are generally derived from population based cancer registries in the developed countries but hospital data are the most reliable source in the developing countries. Ten years data from 1st Jan 2000 to 31st Dec 2009 of a cancer hospital in Pakistan were here analyzed by descriptive statistics to evaluate the clinicopathologic profile of local breast cancer patients. Among 28,740 cancer patients, 6,718 were registered as breast cancer. The female to male ratio was 100:2. Breast cancer accounted for 23% of all and 41% of female cancers. Some 46% were residents of Lahore, with a mean age of $47{\pm}12$ years. Less than 1% were at Stage 0 and 10%, 32%, 35% and 23% were at Stage I, II, III and IV respectively. Histopathology was unknown in 4% while 91%, 2% and 1% had invasive ductal carcinoma (IDC), invasive lobular carcinoma (ILC) and mucinous carcinoma respectively. Rare carcinomas accounted for the rest. Tumor grade 1, 2 and 3 was 11%, 55% and 34% among the known. Profile of breast cancer patients in Pakistan follows a pattern similar to that of other developing countries with earlier peak age and advanced disease stage at presentation. The male breast cancer accounts for higher proportion in the local population. Local women have higher frequency of IDC and lower frequency of ILC and DCIS, owing probably to a different risk profile. Use of hospital information systems and establishment of population based cancer registry is required to have accurate and detailed local data. Promotion of breast health awareness and better health care system is required to decrease the burden of advanced disease.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.128-137
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• 2015

Going through rapid changes, the field of information technology (IT) has launched many innovative products. Some of those products have spread, forming a stable market, whereas others have disappeared. The purpose of the study is to purpose a theoretical model to show changes in the importance of competition factors over the three stages. Our study applied the innovation adoption stage model of the Innovation Diffusion Theory (IDT) to the industry life cycle of the Industry Life Cycle (ILC) Theory resulting in three stage of introduction, growth, and maturity, and defined a model of market characteristics according to time. By using the model, we analyzed the case of notebook computers and tablet and checked the fitness of the model. Results show that five competition factors worked differently according to time. In the introduction stage, relative functionality and relative playfulness are important competition factors. In the growth stage, compatibility is added to those two factors. In the last maturity stage, compatibility, complexity, and cost level are important competition factors.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.5
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• pp.13-26
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• 1999

This paper presents a metric that can guide to optimal circuit models for interconnects among various models, given interconnect parameters and operating environment. To get this goal, we categorize interconnects into RC~c1ass and RLC-c1ass model domains based on the quantitative modeling error analysis using total resistance, inductance and capacitance of interconnects as well as operating frequency. RC~c1ass circuit models, which include most on~chip interconnects, can be efficiently analyzed by using the model~order reduction techniques. RLC-c1ass circuit models are constructed using one of three candidates, ILC(Iterative Ladder Circuit) macromodels, MC(Method of Characteristics) macromodels, and state-based convolution method, the selection process of which is based upon the allowable modeling error and electrical parameters of interconnects. We propose the model domain diagram leading to optimal circuit models and the division of model domains has been achieved considering the simulation cost of macromodels under the environmental assumption of the general purpose circuit simulator such as SPICE. The macromodeling method presented in this paper keeps the passivity of the original interconnects and accordingly guarantees the unconditional stability of circuit models.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.9
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• pp.4463-4467
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• 2016

Purpose: To review the impact of using intra-operative ultrasound guided breast conserving surgery with frozen sections on final pathological margin outcome with the current guidelines set forth by the Society of Surgical Oncology (SSO) and the American Society of Surgical Oncology (ASTRO). Materials and Methods: A retrospective review including all cases of intra-operative ultrasound guided breast conserving surgery was performed at the National Cancer Institute Thailand between 2013 and 2016. Patient demographics, tumor variables, intraoperative frozen section and final pathological margin outcomes were collected. Factors for positive or close margins were analyzed. Results: A total of 86 patients aged between 27 and 75 years with intra-operative ultrasound guided breast conserving surgery were included. Three cases (3.5%) of positive margin were detected by intra-operative frozen section and 4 cases (4.7%) by final pathology reports. There were 18 cases (20.9%) with a close margin (<1 mm). Factors affecting this result comprised multi-foci, presence of invasive ductal carcinoma (IDC) combined with ductal carcinoma in situ (DCIS) and invasive lobular carcinoma (ILC). Conclusions: With the current SSO/ASTRO for adequate margin guidelines, using intra-operative ultrasound to locate the boundary for resection with breast conserving surgery provided a high success rate in obtaining final pathology free margin outcomes and minimizing re-operation risks especially when combined with intra-operative frozen section assessment. The chance of finding positive or close margins appears higher in cases of IDC combined with DCIS, ILC and with multi-foci cancers.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.277-281
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• 2007

Quite a while ago, Organizations which have slope DB system was running slope of management in several. Frequently, Slope failure was happened by abnormal weather and limit of valuation system at the managed slope. Analysis of other organization slope DB systems is very important that slope DB system maintains same regions on geology. In Korea, slope DB system was running at KEC(Korea Expressway Corporation), Korail(Korea Railroad), and KIGAM(Korea Institute of Geoscience and Mineral Resources). We research theirs DB constructing. For reviewed slope DB system of other country, we searched NLIC(Natural Landslide Information Center)'s DB system in U.S.A., GEO's LPM(landslide Prevention Measures) program in Hongkong, DPRI' ILC(International Consortium on Landslides) program in Japan, and AGSO(Australian Geological Survey Organization)'s NGVUC program in Australia.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.299-302
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• 1996

A control algorithm is proposed for nonlinear multi-input multi-output(MIMO) batch processes by combining quadratic iterative learning control(Q-ILC) with model predictive control(MPC). Both controls are designed based on output feedback and Kalman filter is incorporated for state estimation. Novelty of the proposed algorithm lies in the facts that, unlike feedback-only control, unknown sustained disturbances which are repeated over batches can be completely rejected and asymptotically perfect tracking is possible for zero random disturbance case even with uncertain process model.