• Title/Summary/Keyword: Pre-Feasibility Study

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A Study on the Development of Feasibility Evaluation Model for Establishment of Public Libraries (공공도서관 설립 사전 타당성 평가모형 개발 연구)

  • Sin-Young, Kim;Hee-Yoon, Yoon
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.4
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    • pp.101-127
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    • 2022
  • Article 31(1) of the Libraries Act(Act No. 18547), which was completely revised on December 7, 2021, stipulates that "the head of a local government or the superintendent of a city/provincial office of education must formulate a plan for the establishment and operation of a public library in advance and obtain the pre-evaluation of the feasibility of establishing a public library from the Minister of Culture, Sports and Tourism." Through the preliminary feasibility evaluation at the construction stage of the public library, it is possible to adjust distribution to improve the adequacy of scale and resolve regional imbalances and gaps. In addition, it is expected to increase service satisfaction and operational enhancement by inducing faithful securing of core infrastructure (librarians, collection, facilities, systems, etc.) in terms of balanced regional development and public library construction. The purpose of this study is to develop and present the basic direction and feasibility evaluation model for establishment of public libraries. The proposed evaluation model is expected to secure the legal basis and institutional legitimacy of the pre-evaluation system for public library establishment and to prevent waste of tax due to poor construction and operation of public libraries.

Feasibility study on a stabilization method based on full spectrum reallocation for spectra having non-identical momentum features

  • Kilyoung Ko ;Wonku Kim ;Hyunwoong Choi;Gyuseong Cho
    • Nuclear Engineering and Technology
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    • v.55 no.7
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    • pp.2432-2437
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    • 2023
  • Methodology for suppressing or recovering the distorted spectra, which may occur due to mutual non-uniformity and nonlinear response when a multi-detector is simultaneously operated for gamma spectroscopy, is presented with respect to its applicability to stabilization of spectra having the non-identical feature using modified full spectrum reallocation method. The modified full-spectrum reallocation method is extended to provide multiple coefficients that describe the gain drift for multi-division of the spectrum and they were incorporated into an optimization process utilizing a random sampling algorithm. Significant performance improvements were observed with the use of multiple coefficients for solving partial peak dislocation. In this study, our achievements to confirm the stabilization of spectrum having differences in moments and modify the full spectrum reallocation method provide the feasibility of the method and ways to minimize the implication of the non-linear responses normally associated with inherent characteristics of the detector system. We believe that this study will not only simplify the calibration process by using an identical response curve but will also contribute to simplifying data pre-processing for various studies as all spectra can be stabilized with identical channel widths and numbers.

Deep Learning Based Radiographic Classification of Morphology and Severity of Peri-implantitis Bone Defects: A Preliminary Pilot Study

  • Jae-Hong Lee;Jeong-Ho Yun
    • Journal of Korean Dental Science
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    • v.16 no.2
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    • pp.156-163
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    • 2023
  • Purpose: The aim of this study was to evaluate the feasibility of deep learning techniques to classify the morphology and severity of peri-implantitis bone defects based on periapical radiographs. Materials and Methods: Based on a pre-trained and fine-tuned ResNet-50 deep learning algorithm, the morphology and severity of peri-implantitis bone defects on periapical radiographs were classified into six groups (class I/II and slight/moderate/severe). Accuracy, precision, recall, and F1 scores were calculated to measure accuracy. Result: A total of 971 dental images were included in this study. Deep-learning-based classification achieved an accuracy of 86.0% with precision, recall, and F1 score values of 84.45%, 81.22%, and 82.80%, respectively. Class II and moderate groups had the highest F1 scores (92.23%), whereas class I and severe groups had the lowest F1 scores (69.33%). Conclusion: The artificial intelligence-based deep learning technique is promising for classifying the morphology and severity of peri-implantitis. However, further studies are required to validate their feasibility in clinical practice.

Analysis of High-Value Materials through Continuous Cultivation System from Pre-and Post-Milking of Chlorella protothecoides (Chlorella protothecoides의 밀킹 전후 연속 배양 시스템을 통한 유용물질 분석)

  • Jeong, Yu Jeong;Kim, Seong Hak;Lee, Won Young;Kim, Sung Chun
    • Journal of Marine Bioscience and Biotechnology
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    • v.10 no.2
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    • pp.73-82
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    • 2018
  • Chlorella are source of valuable compounds as lipids, proteins, carbohydrates, bioactive compounds. To continuous obtain the high-value materials of Chlorella protothecoides, we performed continuous cultivation after applying milking techniques to C. protothecoides grown with culture for 7 days in optical panel bioreactor (OPBR) system. Fatty acid and lutein in extracts from pre- and post-milking of C. protothecoides were analyzed using gas chromatography and high performance liquid chromatography, respectively. C. protothecoides were rich in unsaturated fatty acids with a high content of oleic acid(C18:1), which is suitable as a biofuel feedstock. The fatty acid content in pre- and post-milking of C. protothecoides was decreased from 126.424mg/g d.w. to 119.341mg/g d.w, and the lutein content decreased from 0.258mg/g d.w. to 0.178mg/g d.w. The results of this study demonstrate the feasibility of milking C. protothecoides for production of lipids for biofuels production. It was confirmed that microalgae can continuously obtain lutein present in a trace amount through a continuous culture from milking.

A study on Applying Hyperbolic Social Discount Rate onto the Benefit-Cost Analysis: Focused on Appropriate Analytical Time Span (쌍곡선함수 방식의 사회적할인율 적용에 대한 연구: 적정 분석기간의 설정을 중심으로)

  • Kim, Sang Kyum
    • Environmental and Resource Economics Review
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    • v.24 no.1
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    • pp.85-107
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    • 2015
  • This study analyzes the effect of applying hyperbolic social discount rate onto the results of benefit-cost analysis of environmental public investment projects in Korea. In order to check the application possibility to the actual feasibility study, the discount factors generated by hyperbolic function, rather than traditional exponential one, would be applied to the benefit and cost data from the pre-feasibility studies which peformed for environmental public investment projects. The results of this study shows that using hyperbolic social discount rate is effective for enhancing test results, only under the condition of which the full expansion of the time periods of analysis is satisfied. According to the simulation results of this study, to achieve higher benefit/cost ratio by using hyperbolic social discount rate, the period should be increased up to 120 to 150 years at least.

Feasibility of Using Digital Pictures to Examine Individuals Nutrient Intakes from School Lunch: A Pilot Study (디지털 사진을 이용한 점심급식의 영양소 섭취량 분석: 예비조사)

  • Jung, Hyun-Hye;Yoon, Ji-Hyun;Choi, Kyung-Suk;Chung, Sang-Jin
    • Journal of the Korean Dietetic Association
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    • v.15 no.3
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    • pp.278-285
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    • 2009
  • The purpose of this pilot study was to examine the feasibility of using digital pictures to assess individuals' nutrient intakes from school lunch. The subjects for the study were 29 male students and 40 female students from two classes in a middle school located in Daejeon Metropolitan City, Korea. The school lunch service was self-operated and the students were allowed to portion the foods by themselves. The teacher in charge of each class took digital pictures of every student's lunch plate that was tagged with an i.d. number, before and after eating for two consecutive days. The researchers estimated the amount of food, which an individual actually consumed by comparing pre- and post-pictures of their plate with reference food pictures for better visual estimation of the food amounts. Individual energy and nutrient intakes were calculated using CAN-Pro (ver 3.0) using the food intake data visually estimated from the digital pictures and school lunch recipes. The teachers in charge reported that about 10~15 additional minutes were needed to take the pictures used for the study and this additional time did not place much burden on the service process during the lunch period. The results showed that the students' actual energy and nutrient intakes from the same school lunch menus were quite varied as the serving portions were not regulated and left-overs were not prohibited. This pilot study suggests that examination of individual nutrient intake using digital picture is a feasible method in the context of school lunch service.

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Physician-staffed Helicopter Transport for Mountain-rescued Emergency Patients: a Pilot Trial (의사 탑승 헬기를 이용한 산악 응급 환자 이송: 시범 연구)

  • Park, Jeong Ho;Shin, Sang Do;Lee, Eui Jung;Park, Chang Bae;Lee, Yu Jin;Kim, Kyoung Soo;Park, Myoung Hee;Kim, Han Bum;Kim, Do Kyun;Kwon, Woon Yong;Kwak, Young Ho;Suh, Gil Joon
    • Journal of Trauma and Injury
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    • v.25 no.4
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    • pp.230-240
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    • 2012
  • Purpose: We aimed to compare the transport time, the proportion of direct hospital visit and the emergency procedures between the current mountain rescue helicopter emergency medical service (HEMS) and physician-staffed mountain-rescue HEMS. Methods: During weekends from October 2, to November 21, 2010, 9 emergency physicians participated as HEMS staff in the mountain-rescue HEMS program of the Seoul fire department. Patient demographic data, transport time, proportion of direct hospital visits, and emergency procedures were recorded. We also collected data on HEMS mountain-rescued patients from June 1, to September 1, 2010, and we compared them to those for the study patients. After an eight-week trial of the HEMS, we performed a delphi survey to determine the attitude of the physician staff, as well as the feasibility of using a physician staff. Results: Twenty-four(24) patients were rescued from mountains by physician-staffed HEMS during the study period, and 35 patients were rescued during the pre-study period. Patient demographic findings were not statistically different between the two groups, but the transport time and the emergency procedures were. During the study period, the time from call to take-off was $6.1{\pm}4.1min$ (vs. $12.1{\pm}8.9min$ during the pre-study period, p-value=0.001), and the time from call to arrival at the scene was $15.0{\pm}4.8min$ (vs. $22.3{\pm}8.1min$ during the pre-study period, p-value=0.0001). The proportions of direct hospital visit were not different between the two groups, but more aggressive emergency procedures were implemented in the study group. The delphi survey showed positive agreement on indications for HEMS, rapidity of transport and overall satisfaction. Conclusion: A pilot trial of physician-staffed HEMS for mountain rescue showed rapid response and more aggressive performance of emergency procedures with high satisfaction among the attending physicians.

Feasibility study on an acceleration signal-based translational and rotational mode shape estimation approach utilizing the linear transformation matrix

  • Seung-Hun Sung;Gil-Yong Lee;In-Ho Kim
    • Smart Structures and Systems
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    • v.32 no.1
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    • pp.1-7
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    • 2023
  • In modal analysis, the mode shape reflects the vibration characteristics of the structure, and thus it is widely performed for finite element model updating and structural health monitoring. Generally, the acceleration-based mode shape is suitable to express the characteristics of structures for the translational vibration; however, it is difficult to represent the rotational mode at boundary conditions. A tilt sensor and gyroscope capable of measuring rotational mode are used to analyze the overall behavior of the structure, but extracting its mode shape is the major challenge under the small vibration always. Herein, we conducted a feasibility study on a multi-mode shape estimating approach utilizing a single physical quantity signal. The basic concept of the proposed method is to receive multi-metric dynamic responses from two sensors and obtain mode shapes through bridge loading test with relatively large deformation. In addition, the linear transformation matrix for estimating two mode shapes is derived, and the mode shape based on the gyro sensor data is obtained by acceleration response using ambient vibration. Because the structure's behavior with respect to translational and rotational mode can be confirmed, the proposed method can obtain the total response of the structure considering boundary conditions. To verify the feasibility of the proposed method, we pre-measured dynamic data acquired from five accelerometers and five gyro sensors in a lab-scale test considering bridge structures, and obtained a linear transformation matrix for estimating the multi-mode shapes. In addition, the mode shapes for two physical quantities could be extracted by using only the acceleration data. Finally, the mode shapes estimated by the proposed method were compared with the mode shapes obtained from the two sensors. This study confirmed the applicability of the multi-mode shape estimation approach for accurate damage assessment using multi-dimensional mode shapes of bridge structures, and can be used to evaluate the behavior of structures under ambient vibration.

Effects of Task-Specific Obstacle Crossing Training on Functional Gait Capability in Patients with Cerebellar Ataxia: Feasibility Study

  • Park, Jin-Hoon
    • The Journal of Korean Physical Therapy
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    • v.27 no.2
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    • pp.112-117
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    • 2015
  • Purpose: The purpose of this study was to examine the effects of a task-specific obstacle crossing rehabilitation program on functional gait ability in patients with cerebellar ataxia. Overall, we sought to provide ataxia-specific locomotor rehabilitation guidelines for use in clinical practice based on quantitative evidence using relevant analysis of gait kinematics including valid clinical tests. Methods: Patients with cerebellar disease (n=13) participated in obstacle crossing training focusing on maintenance of dynamic balance and posture, stable transferring of body weight, and production of coordinated limb movements for 8 weeks, 2 times per week, 90 minutes per session. Throughout the training of body weight transfer, the instructions emphasized conscious perception and control of the center of body stability, trunk and limb alignment, and stepping kinematics during the practice of each walking phase. Results: According to the results, compared with pre-training data, foot clearance, pre-&post-obstacle distance, delay time, and total obstacle crossing time were increased after intervention. In addition, body COM measures indicated that body sway and movement variability, therefore posture stability during obstacle crossing, showed improvement after training. Based on these results, body sway was reduced and stepping pattern became more consistent during obstacle crossing gait after participation in patients with cerebellar ataxia. Conclusion: Findings of this study suggest that task-relevant obstacle crossing training may have a beneficial effect on recovery of functional gait ability in patients with cerebellar disease.

Cloning of Korean Morphological Analyzers using Pre-analyzed Eojeol Dictionary and Syllable-based Probabilistic Model (기분석 어절 사전과 음절 단위의 확률 모델을 이용한 한국어 형태소 분석기 복제)

  • Shim, Kwangseob
    • KIISE Transactions on Computing Practices
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    • v.22 no.3
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    • pp.119-126
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    • 2016
  • In this study, we verified the feasibility of a Korean morphological analyzer that uses a pre-analyzed Eojeol dictionary and syllable-based probabilistic model. For the verification, MACH and KLT2000, Korean morphological analyzers, were cloned with a pre-analyzed eojeol dictionary and syllable-based probabilistic model. The analysis results were compared between the cloned morphological analyzer, MACH, and KLT2000. The 10 million Eojeol Sejong corpus was segmented into 10 sets for cross-validation. The 10-fold cross-validated precision and recall for cloned MACH and KLT2000 were 97.16%, 98.31% and 96.80%, 99.03%, respectively. Analysis speed of a cloned MACH was 308,000 Eojeols per second, and the speed of a cloned KLT2000 was 436,000 Eojeols per second. The experimental results indicated that a Korean morphological analyzer that uses a pre-analyzed eojeol dictionary and syllable-based probabilistic model could be used in practical applications.