Concrete is the primary building material for nuclear facilities, making it one of the most common forms of radioactive waste generated when decommissioning a nuclear facility. Of the total waste generated at the Connecticut Yankee and Maine Yankee nuclear power plants in the United States, concrete waste accounts for 83.5% of the total for Connecticut Yankee and 52% for Maine Yankee. In order to dispose of the low- to medium-level radioactive concrete waste generated during the decommissioning of nuclear power plants, it is necessary to analyze the radioactivity concentration of gamma nuclides such as Co-58, Co-60, Cs-137, and Ce-144. Gamma-ray spectroscopy is commonly used method to measure the radioactivity concentration of gamma nuclides in the radioactive waste; however, due to the nature of gamma detectors, gamma rays from sequentially decaying nuclides such as Co-60 or Y-88 are subject to True Coincidence Summing (TCS). TCS reduces the Full Energy Peak Efficiency (FEPE) of specific gamma ray and it can cause underestimation of radioactivity concentration. Therefor the TCS effect must be compensated for in order to accurately assess the radioactivity of the sample. In addition, samples with high density and large volume will experience a certain level of self-shielding effect of gamma rays, so this must also be compensated for. The Radioactive Waste Chemical Analysis Center at the Korea Atomic Energy Research Institute performs nuclide analysis for the final disposal of low- and intermediate-level concrete waste. Since a large number of samples must be analyzed within the facility, the analytical method must simultaneously satisfy accuracy and speed. In this study, we report on the results of evaluating the accuracy of the radioactivity concentration correction by applying an efficiency transfer method that appears to satisfy these requirements to concrete standard reference material.

In this study, we examined dimensional changes in processing carbon fiber composites using a cost-competitive domestic high-speed router. Lacking temperature compensation features found in typical machines, it faces increased defect rates due to temperature fluctuations during processing. To mitigate this, we defined specific processing temperature conditions, established hole positions as distance references for various temperatures, and measured dimensional changes. This enabled us to calculate necessary dimensional corrections, minimizing thermal deformation.

PURPOSES : Traffic volume, an important basic data in the field of road traffic, is collected from traffic survey equipment installed at certain locations, which sometimes results in missing traffic volume data and abnormal detection. Therefore, this study presents various missing correction techniques using traffic characteristic analysis to obtain accurate traffic volume statistics. METHODS : The fundamental premise behind the development of a traffic volume correction and prediction model is to set the corrected data as the reference value, and the traffic volume correction and prediction process for the outliers and missing values in the raw data were performed based on the set values. RESULTS : The simulation results confirmed that the algorithm combining seasonal composition, quantile AD, and aggregation techniques showed a detection performance of more than 91% compared with actual values. CONCLUSIONS : Raw data collected due to difficulties faced by traffic survey equipment will result in missing traffic volume data and abnormal detection. If these abnormal data are used without appropriate corrections, it is difficult to accurately predict traffic demand. Therefore, it is necessary to improve the accuracy of demand prediction through characteristic analysis and the correction of missing data or outliers in the traffic data.

본 연구는 금속 인공물을 감소시키기 위한 VAT(view angle tilting)와 SEMAC(slice encoding for metal correction) 기법 적용에 따른 온도 변화 범위를 관찰하고자 하였다. 제작된 인체 모방 팬텀을 활용하였고, 검사방법으로는 임상에서 실제로 사용하고 있는 고속스핀에코(fast spin echo, FSE) 기법의 영상 파라미터들을 그대로 이용하였다. VAT 와 SEMAC 기법은 FSE와 같은 파라미터로 설정한 다음 VAT 파라미터는 100%와 SEMAC 파라미터는 25로 설정하였다. 온도 측정 방법으로는 수소원자 공명주파수전이법(proton resonance frequency shift, PRFS)기법을 활용하였으며, 광 섬유 온도계(fiber-optic sensor, FOS)로 절대 온도를 측정한 후 비교 분석하였다. 온도 변화는 SEMAC 기법에서 기존 FSE 기법 (0.28℃±0.10℃)에 비해 1.63℃±0.12℃로 약 6배 상승하였고(SEMAC-FOS = 1.59℃), VAT 기법은 약 2배 증가(VAT-FOS = 0.51℃)가 확인되었다. 특히, SEMAC 기법은 VAT 기법(VAT-FOS = 0.51℃, VAT-PRFS = 0.54℃ ±0.02℃)과 비교하여 약 3배가 증가하여 가장 높은 온도 상승이 관찰되었다. 이는 SEMAC 기법 적용 시 자기공명영상 전자파 인체 영양에 대한 안전기준을 충족하기 위해 영상 파라미터 최적화 작업의 필요성을 시사한다.

Background: In modern society, the use of computers accounts for a large proportion of our daily lives. Although substantial research is being actively conducted on musculoskeletal diseases resulting from computer use, there has been a recent surge in interest in improving the working environment for prevention. Objects: This study aimed to examine the effects of posture correction feedback (PCF) on changes in neck posture and muscle activation during computer typing. Methods: The participants performed a computer typing task in two sessions, each lasting 16 minutes. The participant’s dominant side was photographed and analyzed using ImageJ software to verify neck posture. Surface electromyography (EMG) was used to confirm the participant’s cervical erector spinae (CES) and upper trapezius muscle activities. The EMG signal was analyzed using the percentage of reference voluntary contraction and amplitude probability distribution function (APDF). In the second session, visual and auditory feedback for posture correction was provided if the neck was flexed by more than 15° in the initial position during computer typing. A 20-minute rest period was provided between the two sessions. Results: The neck angle (p = 0.014), CES muscle activity (p = 0.008), and APDF (p = 0.015) showed significant differences depending on the presence of the PCF. Furthermore, significant differences were observed regarding the CES muscle activity (p = 0.001) and APDF (p = 0.002) over time. Conclusion: Our study showed that the feedback system can correct poor posture and reduces unnecessary muscle activation during computer work. The improved neck posture and reduced CES muscle activity observed in this study suggest that neck pain can be prevented. Based on these results, we suggest that the PCF system can be used to prevent neck pain.

Background: Office workers experience neck or back pain due to poor posture, such as flexed head and forward head posture, during long-term sedentary work. Posture correction is used to reduce pain caused by poor posture and ensures proper alignment of the body. Several assistive devices have been developed to assist in maintaining an ideal posture; however, there are limitations in practical use due to vast size, unproven long-term effects or inconsistency of maintaining posture alignment. We developed a headphone and necklace posture correction system (HANPCS) for posture correction using an inertial measurement unit (IMU) sensor that provides visual or auditory feedback. Objects: To demonstrate the test-retest reliability and concurrent validity of neck and upper trunk flexion measurements using a HANPCS, compared with a three-dimensional motion analysis system (3DMAS). Methods: Twenty-nine participants were included in this study. The HANPCS was applied to each participant. The angle for each action was measured simultaneously using the HANPCS and 3DMAS. The data were analyzed using the intraclass correlation coefficient (ICC) = [3,3] with 95% confidence intervals (CIs). Results: The angular measurements of the HANPCS for neck and upper trunk flexions showed high intra- (ICC = 0.954–0.971) and inter-day (ICC = 0.865–0.937) values, standard error of measurement (SEM) values (1.05°–2.04°), and minimal detectable change (MDC) values (2.92°–5.65°). Also, the angular measurements between the HANPCS and 3DMAS had excellent ICC values (> 0.90) for all sessions, which indicates high concurrent validity. Conclusion: Our study demonstrates that the HANPCS is as accurate in measuring angle as the gold standard, 3DMAS. Therefore, the HANPCS is reliable and valid because of its angular measurement reliability and validity.

Some of the metal waste generated from KEPCO NF is being disposed of in the form of ingots. An ingot is a metal that is melted once and then poured into a mold to harden, and it is characterized by a uniform distribution of radioactive material. When measuring the uranium radioactivity in metal ingot with HPGe detector, 185.7 keV of U-235 is used typically because most gamma rays emitted at U-235 are distributed in low-energy regions below 200 keV. To analyze radioactivity concentration of U-235 with HPGe detector more accurately, self-attenuation due to geometrical differences between the calibration source and the sample must be corrected. In this study, the MCNP code was used to simulate the HPGe gamma spectroscopy system, and various processes were performed to prove the correlation with the actual values. First an metal ingottype standard source was manufactured for efficiency calibration, and the GEB coefficient was derived using Origin program. And through the comparison of actual measurements and simulations, the thickness of the detector’s dead layers were defined in all directions of Ge crystal. Additionally instead of making an metal ingot-type standard source every time, we analyzed the measurement tendency between commercially available HPGe calibration source (Marinelli beaker type) and the sample (metal ingot type), and derived the correction factor for geometry differences. Lastly the correction factor was taken into consideration when obtaining the uranium radioactivity concentration in the metal ingot with HPGe gamma spectroscopy. In conclusion, the U-235 radioactivity in metal ingot was underestimated about 25% of content due to the self-attenuation. Therefore it is reasonable to reflect this correction factor in the calculation of U-235 radioactivity concentration.

양식장 부표 등과 같은 해상의 소형 장애물을 탐지하고 거리와 방위를 시각화시켜 주는 해상물체탐지시스템은 선체운동으로 인한 오차를 보정하기 위해 3축 짐벌이 장착되어 있지만, 파도 등에 의한 카메라와 해상물체의 상하운동으로 발생하는 거리오차를 보정 하지 못하는 한계가 있다. 이에 본 연구에서는 외부환경에 따른 수면의 움직임으로 발생하는 해상물체탐지시스템의 거리오차를 분석하 고, 이를 평균필터와 이동평균필터로 보정하고자 한다. 가우시안 표준정규분포를 따르는 난수를 이미지 좌표에 가감하여 불규칙파에 의 한 부표의 상승 또는 하강을 재현하였다. 이미지 좌표의 변화에 따른 계산거리, 평균필터와 이동평균필터를 통한 예측거리 그리고 레이저 거리측정기에 의한 실측거리를 비교하였다. phase 1,2에서 불규칙파에 의한 이미지 좌표의 변화로 오차율이 최대 98.5%로 증가하였지만, 이동평균필터를 사용함으로써 오차율은 16.3%로 감소하였다. 오차보정 능력은 평균필터가 더 좋았지만 거리변화에 반응하지 못하는 한계 가 있었다. 따라서 해상물체탐지시스템 거리오차 보정을 위해 이동평균필터를 사용함으로써 실시간 거리변화에 반응하고 오차율을 크게 개선할 수 있을 것으로 판단된다.

본 연구는 국내 교도관들의 교정(矯正)･교화(敎化) 개념 인식변화를 목적으로 한 연 구이다. 본 연구자는 30년간 교도관으로 근무 경험을 통해 교도관의 교정에서 교화로 의 인식변화가 수용자들에게 긍정적인 영향을 미치는 것을 인지할 수 있었고, 이를 통 해 재범예방과 억제로 이어갈 수 있다는 인식의 전환이 무엇보다 중요하다는 필요성 을 본 연구에 제기했다. 연구는 O와 C 교도소에서 경험 있는 교도관 50명을 대상으로 설문조사와 면접조사를 통해 연구 결과를 분석하였다. 연구방법은 교도관 50명을 대 상으로 3차에 걸쳐 심층 설문 및 면접조사를 진행한 후, 델파이기법을 사용하여 통계 적 정량적 방법으로 분석하였다. 연구결과 교도관(矯導官)들은 대체로 교화(敎化)와 교화교육의 필요성에 관련한 긍 정적인 인식과 신념의 변화를 가져왔다. 콜버그의 이론에 기반한 3단계의 6수준으로 분류하면, 교정은 1~2단계로, 교화는 3~4단계 이상이면 교도관의 개념 인식변화단계 의 합의로 분류한다. 교도관들은 교정에서 교화로의 변화방법을 인식하고 있었다. 교도소와 수용자의 부정적 이미지와 신념의 변화를 위해서 인문학, 심리학, 의학, IT, 가상현실치료 등의 다학제간 개입을 기반한 교화와 교화교육의 창의적 발현이 필요하 다. 교화교육 전반에 걸쳐 교도관들의 교화인식은 교화교육에 관한 영역인 델파이 상 위범주에서의 교화인지 시기는 입사 전후로 유의미하게 나타났다. 수용자의 교화교육 의 효과성은 교도관들의 직업적 소명의식과 경험을 통해 확인할 수 있다. 21세기 교도관들은 교화로의 중추적 역할로 수용자들을 교화하기 위해 우선적으로 교도관의 자기성취감, 보람의식의 강화, 자기통제력, 자기효능감 등의 만족도를 강화 해야 한다. 아울러 수용자의 처우 및 교화교육의 만족도를 높이기 위해 향후 수형자 개별 맞춤형 처우 및 교화교육(敎化敎育) 프로그램을 개발하여 개입할 필요가 있다. 이 는 교도관의 교정이라는 부정적인 시각과 신념에서 교화라는 긍정적 시각과 신념(信 念)의 전환을 초래하며, 수용자의 재범예방(再犯豫防)과 억제에 기여할 것이다. 이는 효과적인 교화교육 프로그램 개입을 위해 지역사회 치료공동체의 연계가 절실하다. 따라서 수용자에 대한 교도관의 법률적･심리적 평가를 강화하여 수용자의 적극적인 치료 참여와 치료효과를 향상하여 출소 후 재범예방과 억제를 높일 수 있다.

This study evaluates the performance of three theoretical models for correcting dynamic pressure affected by tube length. The experiments involved measuring sinusoidal pressure waves with varying frequency bandwidths, using tubing systems ranging from 20 cm to 300 cm in length including multiple tubing systems connecting three or more tubes. The results showed that the Bergh and Tijdeman models, with constant and variable polytropic parameters respectively, had superior correction performance for various tube lengths, while the Whitmore & Leondes model showed discrepancies. The Bergh & Tijdeman model, with a polytropic parameter of 1.4, is recommended due to its convenience and accuracy. Furthermore, including the inner volume of the pressure transducer in the theoretical model was found to be crucial for accurate correction, as not doing so caused significant errors. The Bergh & Tijdeman model was also found to efficiently correct tube length effects in multiple tubing systems, eliminating the need for time-consuming and laborious experiments.

This study explored the role of written languaging (WL) in response to automated written corrective feedback (AWCF) in L2 accuracy improvement in English classrooms at a university in China. A total of 254 freshmen enrolled in intermediate composition classes participated, and they wrote 4 essays and received AWCF. A half of them engaged in WL after receiving correction, while the other half did not. To measure whether WL could contribute to L2 accuracy improvement, error correction tests were conducted three times. AWCF targeted all types of errors, but the study focused on investigating six language features (nouns, conjunctions, subject-verb agreement, sentence constituents, articles, and prepositions) known as the most frequent errors intermediate students make. The results proved that WL had a positive effect on accuracy improvement overall. However, when individual language features were considered separately, the effects were not the same. The inherent complexity of the features along with L1 influence appeared to affect the effects of WL for accuracy improvement.