• Proceedings of the Optical Society of Korea Conference
• /
• 2003.07a
• /
• pp.258-259
• /
• 2003

최근 수년간 polarimetry, Raman spectroscopy, near infrared (NIR) absorption spectroscopy, NIR scattering, optoacoustics 등의 방법을 통하여 비침습적으로 Glucose의 농도를 측정하려는 연구가 많이 시도되었다. 일반적으로 이들 방법은 sensitivity 와 signal-to-noise ratio가 매우 낮고 복잡한 알고리즘이 요구되어져 glucose 농도 측정에 한계가 있음이 드러났다. 본 연구에서는 polarization sensitive low coherence interferometer (PS-LCI) 기법을 이용하여 농도에 따른 stokes parameters를 측정함으로써 비침습적으로 glucose를 측정하는 것이 가능한지 알아보는데 그 목적이 있다. (중략)

• Clinical Endoscopy
• /
• v.56 no.5
• /
• pp.546-552
• /
• 2023

Techniques for upper gastrointestinal endoscopy are advancing to facilitate lesion detection and improve prognosis. However, most early tumors in the upper gastrointestinal tract exhibit subtle color changes or morphological features that are difficult to detect using white light imaging. Linked color imaging (LCI) has been developed to overcome these shortcomings; it expands or reduces color information to clarify color differences, thereby facilitating the detection and observation of lesions. This article summarizes the characteristics of LCI and advances in LCI-related research in the upper gastrointestinal tract field.

• Magazine of the Korea Concrete Institute
• /
• v.23 no.6
• /
• pp.36-39
• /
• 2011

• Korean Journal of Organic Agriculture
• /
• v.20 no.4
• /
• pp.475-490
• /
• 2012

Since 1997, Korean Ministry of Knowledge Economy and Ministry of Environment have established data on some 400 basic raw and subsidiary materials and process like energy, petro-chemical, steel, cement, glass, paper, construction materials, transportation, recycling and disposal etc by initiating establishment of LCI database. Regarding agriculture, Rural Development Administration has conducted establishment of LCI database for major farm products like rice, barley, beans, cabbage and radish etc from 2009, and released that they would establish LCI database for 50 items until 2020 later on. The domestic LCI database for seeds, seedling, agrochemical, inorganic, fertilizer and organic fertilizer etc is only at initial stage of establishment, so overseas LCI databases are brought and being used. However, since the domestic and overseas natural environments differ, they fall behind in reliability. Therefore, this study has the purpose to select organic farming materials, survey the production process for various types of organic farming materials and establish LCI database for the effects of greenhouse gas emitted by each crop during the process. As for selecting methods, in this study organic farming materials were selected in the method of direct observation of material and bottom-up method a survey method with focus on the organic farming materials admitted into rice production. For the basic unit of carbon emission amount by the production of 1kg of organic farming material, the software PASS 4.1.1 developed by Korea Accreditation Board under Ministry of Knowledge Economy was used. The study had the goal to ultimately provide basic unit to calculate carbon emission amount in executing many institutions like goal management system and carbon performance display system etc in agricultural sector to be conducted later on. As a result, emission basic units per 1kg of production were calculated to be 0.04968kg-$CO_2$ for oystershells, 0.004692kg-$CO_2$ for expanded rice hull, and 1.029kg-$CO_2$ for bordeaux mixture liquid.

• Journal of the Korean Society for Library and Information Science
• /
• v.57 no.4
• /
• pp.25-47
• /
• 2023

Library collaboration instruction (LCI) is a process in which a classroom teacher and librarian collaborate to co-planning, co-implementation, co-assessment instruction. LCI is being studied and modeled in various dimensions such as the level of collaboration, information activities, and time scheduling. However, there is no integrated model that comprehensively covers teacher and librarian collaboration. The purpose of this study is to propose a schematic integration model for LCI by comparing and analyzing various models in five dimensions (level of collaboration, information activities, collaborative approach, time scheduling, and technological integration). The main results of the integration model for LCI reflected in this study are as follows. First, in terms of the level of collaboration, TLC integration model reflected such as library-based teacher-led instruction, cross-curricular integrated curriculum. Second, in terms of information activities, LCI integration model reflected social and science subjects inquiry activities in addition to the information use process. Third, in terms of collaborative approach, LCI integration model is divided into such as lead-observation instruction and parallel station instruction. Fourth, in terms of time management, LCI integration model took into account the Korean national curriculum and scheduling methods. Fifth, in terms of technology integration, LCI integration model reflected the PICRAT model, modified from the perspective of library collaboration instruction.

• Proceedings of the KSR Conference
• /
• 2006.05b
• /
• pp.59-66
• /
• 2006

• Journal of Electrical Engineering and Technology
• /
• v.12 no.4
• /
• pp.1519-1528
• /
• 2017

The paper proposes a well structured, component count waned single phase multilevel inverter (MLI) topology, which drives three different modules viz. Stipulation Based Sources Insertion (SBSI) module, Level Count Increasing (LCI) module and Inter-Linking H-Bridge (ILHB) module. The SBSI module confronts the number of basic sources needed in series/parallel to achieve required magnitude for any particular level. The LCI possesses an offsetting dc source and opuses to increase the number of levels and the ILHB module links the SBSI and LCI modules. A developed Hybrid Pulse Width Modulation (HPWM) strategy has PWM pulses for the switches of LCI module while the switches of the remaining two modules function at fundamental switching frequency. A fifteen level version of the proposed stipulation based sources insertion MLI (SBSIMLI) topology is simulated in MATLAB R2010a and a prototype of the similar specifications is constructed to validate the performance by experimental results. The comparison between the developed SBSIMLI topology and the competent topologies shows many interesting facts.

• Clean Technology
• /
• v.21 no.1
• /
• pp.33-38
• /
• 2015

In this research, life cycle inventory database (LCI DB) was developed for liquid CO₂ employing life cycle assessment (LCA) methodology. As are result of characterization and normalization process, production of liquid CO₂ puts on environmental impact in the order of resource depletion, global warming, acidification, eutrophication and photochemical oxidation, and among a wide variety of input, electricity contributes in most of the impact categories. Air emission plays a key role in the acidification and eutrophication while ammonia affects most on the ozone depletion. It is anticipated that development of liquid CO₂ LCI DB makes it possible for national environmental strategies to be more activated including environmental labeling scheme.

• Journal of the Korean Society for information Management
• /
• v.35 no.4
• /
• pp.237-261
• /
• 2018

The purpose of this study is to provide basic data for implementing library collaborative instruction (LCI) through investigating the effects of high school teachers' perceptions and experiences of school libraries on the recognition of LCI. To accomplish it, a questrionnaire survey of 198 teachers in 14 high schools in Seoul was conducted. As a result, teachers' perceptions of school libraries and school library experience had significant effects on the their willingness to implement LCI, which consisted of educational effect(EE), necessity and implementation plan(IP). In short, teachers' perception of school libraries influenced most variables in EE and did not influence necessity. All independent variables had significant effects on IP. This can be interpreted as that teachers recognize the need of LCI, but the perception of EE is influenced by conveying tool for the knowledge of LCI, such as education, promotion, and experience.

• Korean Journal of Soil Science and Fertilizer
• /
• v.43 no.5
• /
• pp.705-715
• /
• 2010

The adoption of carbon foot print system is being activated mostly in the developed countries as one of the long-term response towards tightened up regulations and standards on carbon emission in the agricultural sector. The Korean Ministry of Environment excluded the primary agricultural products from the carbon foot print system due to lack of LCI (life cycle inventory) database in agriculture. Therefore, the research on and establishment of LCI database in the agriculture for adoption of carbon foot print system is urgent. Development of LCA (life cycle assessment) methodology for application of LCA to agricultural environment in Korea is also very important. Application of LCA methodology to agricultural environment in Korea is an early stage. Therefore, this study was carried out to find out the effect of lettuce cultivation on agricultural environment by establishing LCA methodology. Data collection of agricultural input and output for establishing LCI was carried out by collecting statistical data and documents on income from agro and livestock products prepared by RDA. LCA methodology for agriculture was reviewed by investigating LCA methodology and LCA applications of foreign countries. Results based on 1 kg of lettuce production showed that inputs including N, P, organic fertilizers, compound fertilizers and crop protectants were the main sources of major emission factor during lettuce cropping process. The amount of inputs considering the amount of active ingredients was required to estimate the actual quantity of the inputs used. Major emissions due to agricultural activities were $N_2O$ (emission to air) and ${NO_3}^-$/${PO_4}^-$ (emission to water) from fertilizers, organic compounds from pesticides and air pollutants from fossil fuel combustion in using agricultural machines. The softwares for LCIA (life cycle impact assessment) and LCA used in Korea are 'PASS' and 'TOTAL' which have been developed by the Ministry of Knowledge Economy and the Ministry of Environment. However, the models used for the softwares are the ones developed in foreign countries. In the future, development of models and optimization of factors for characterization, normalization and weighting suitable to Korean agricultural environment need to be done for more precise LCA analysis in the agricultural area.