형법 제288조 제2항에서 규정하고 있는 노동력 착취 목적 유인죄의 경 우 지난 2013. 4. 5. 형법 개정을 통하여 신설된 범죄라고 할 수 있다. 그 런데 현행 형법과 인신매매방지법에서는 공통적으로 인신매매가 성립하기 위한 요소로서 ① 성매매와 성적 착취, ② 노동력 착취, ③ 장기적출 등의 착취 등을 목적으로 하는 것을 요구하고 있는데, 실무에 있어서 형법 제 289조를 적용하여 실제 형사처벌된 사례는 현재까지 총 7건에 불과한 실 정이며, 이 마저도 노동력 착취 목적의 인신매매죄를 제외한 나머지 유형 의 범죄로 분포되어 있는 특징을 보이고 있다. 이와 더불어 기존의 인신매 매와 관련된 학계의 주된 논의는 ‘성매매와 성적 착취’라는 부분에 국한되 어 활성화된 나머지 ‘노동력 착취’에 대한 논의는 거의 찾아볼 수 없는 지 경이다. 하지만 실무에 있어서 인신매매방지법에 의거하여 한국여성인권진 흥원 산하 인신매매등사례판정위원회에서 노동력 착취를 원인으로 하는 피 해자확인서가 실제 발급되고 있는 상황에서 더 이상 이에 대한 논의를 방 기(放棄)하는 것은 정도(正道)가 아닐 것이다. 이에 ‘노동력 착취’에 대한 해 석론 및 실무의 입장을 살펴보기 위하여는 부득이하게 형법 제289조 제3 항이 아니라 형법 제288조 제2항에서 규정하고 있는 노동력 착취 목적 유 인죄를 그 적용법조로 하는 판례를 중심으로 검토할 수 밖에 없다. 형법 제289조 제3항의 노동력 착취 목적 인신매매죄와 형법 제288조 제2항의 노동력 착취 목적 유인죄는 행위태양만 다를 뿐 초과주관적 구성요건요소 로서의 목적과 법정형(‘2년 이상 15년 이하의 징역’)이 모두 동일하기 때문 에 후자의 판례를 분석하는 것은 인신매매에 있어서 요구되는 ‘노동력 착 취’에 대한 실무의 입장을 직․간접적으로 이해하는데 있어서도 상당한 도움 을 줄 것으로 기대된다. 이하 본고에서는 우리나라 하급심 판례에서 노동 력 착취 목적 유인죄의 인정 여부가 문제된 사안을 중심으로 형법 제288 조 제2항의 구성요건을 어떻게 해석하여 이를 적용하는지에 대하여 분석해보기로 한다.

본 연구는 도로 보수 후 새롭게 도입되거나 개선된 도로안전시설 중 노면표시와, 안전운전에 간접적인 영향을 미치는 도로 노면 상 태에 대한 이용자 만족도를 연령 및 업종별로 분석하고자 수행되었다. 운전자 430명을 대상으로 5점 리커트 척도 설문을 시행하고, SPSS 27.0을 이용해 일원배치 분산분석(ANOVA)과 사후 검정을 실시하였다. 그 결과, 노면표시(크기·선명도·야간시인성)는 업종별(관 리·사무·전문직, 운전직, 학생 등)로 유의미한 차이가 있었고, 연령대별로는 10대가 노면표시 크기에 가장 만족도가 높았으며 고령층으 로 갈수록 낮아졌다. 또한 운전직의 만족도가 전반적으로 낮아 노면표시가 실제 주행에 크게 영향을 주는 것으로 나타났다. 본 연구 결과는 연령별·업종별 특성을 고려한 도로환경 및 정책 개선에 기초 자료로 활용될 수 있을 것이다.

This study analyzes the participants’ purchasing and wearing conditions of Jiu-Jitsu uniforms, identifying issues with current designs and proposing improvements. Data were collected from 160 participants through an online survey from April 15 to May 20, 2024. Frequency, cross-tabulation analyses, and one-way ANOVA were performed using SPSS 29.0. The survey included questions related to participants’ general information, uniform purchasing behavior, satisfaction with Jiu-Jitsu uniforms, preferred brands, and sizing, and fit satisfaction. The results revealed that most male participants were in their 30s, while female participants were in their 20s. A higher proportion of males were overweight, while females were likelier to have a normal BMI. Participants generally owned 3–6 uniforms, most purchases in the 160,000–200,000 KRW price range. International brands were preferred, and participants selected uniforms based on fit, quality, and design. The most common sizes were A1 and A1L, with overweight and obese participants tending to opt for additional size options. Key improvement areas included pants length and waist width. The findings highlight the need for unisex pattern designs for individuals in the B range (160–170cm) and patterns specifically designed for overweight males in the C range (170–180cm). This study provides valuable insights into Jiu-Jitsu uniform preferences and body typespecific requirements, offering foundational data for enhancing uniform design and functionality.

This study aims to measure the current control waveform of an injector in real time using the developed monitoring system and verify its compliance with the manufacturer’s control waveform requirements. The measured operating waveforms include a peak current phase of 20A and a hold current phase of 10A. The injector of the engine was tested at 1500 RPM and 2000 RPM under conditions of normal fuel injection, small fuel injection, and large fuel injection. In this research, a real-time monitoring system was designed, incorporating an FPGA board and RS232 communication for PC interaction. This system is capable of measuring four channels simultaneously. Furthermore, it is expected that the system could measure up to 12 cylinders concurrently with the addition of more current probes while maintaining the same system configuration. The real-time collection of output waveforms using the developed monitoring system confirmed that the injector operates correctly and meets the manufacturer’s requirements.

In this study, we developed a technology that can measure key evaluation items in the field for various rehabilitation methods and evaluated its performance. The results are as follows. First, when the spray-on lining adhesion strength is measured after drying at high temperature (60℃) for 4 hours and cooling for 2 hours, the results are equivalent to or higher than the adhesion strength measured at room temperature after 48 hours. Therefore, the time required for measuring the adhesion strength in the field can be shortened to 1/8, and it is expected to be helpful in evaluating the condition of the spray-on lining. Second, depending on close or adhesive to existing pipe of the liner of the close-fit lining or CIPP lining, and the grouting condition of the slip lining, the sound frequency generation pattern, the vibration magnitude, and duration using the impact echo showed different characteristics. Therefore, it is thought that it is possible to evaluate liner lifting or grouting failure through analysis of the acoustic frequency, vibration magnitude, and duration. Third, when water penetrates the back of the liner of the close-fit lining or CIPP lining, it was found that the water penetrated between the liner and the existing pipe acts as a couplant, and a signal is repeatedly generated in which ultrasonic energy is transmitted and reflected to the steel pipe after the liner. Therefore, it is judged that it is possible to check whether water has penetrated the back of the liner using ultrasonic waves. Fourth, the liner tensile strength of the close-fit, CIPP lining was compared with the tensile test and the instrumented indentation test, and it was found that the tensile strength was similar. So it was judged that it will be helpful in evaluating the mechanical strength change without the liner specimen in the future.

식·약용으로 사용되고 있는 흰점박이꽃무지(Protaetia brevitarsis) 유충은 가공 전처리 시 배변 유도 섭식물로 찹쌀과 비지를 사용하고 있으나 생산비 절감, 영양적 가치 증대, 이취감 저감을 목적으로 가공부산물로 대체할 필요가 있다. 본 연구는 유충의 배변유도섭식물로 홍삼박, 구기자박, 흑마늘박, 마늘부산물 등을 활용하여 이에 대한 효과를 구명하고, 전처리 조건을 확립하였다. 이를 위해 섭취 한 후 배변유도, 체중 감소율, 생존율, 지표물질 등을 조사하였다. 가공부산물을 섭식한 유충의 섬유질 함량은 모든 처리구에서 무처리(절식) 9.91% 보다 낮은 섬유질 함량을 보였다. 유 충의 일별 체중 감소율과 생존율을 회귀분석하여 가공부산물 투입에 따른 사육 용기(264×194×192 mm (W×H×D)) 내 적정 마릿수를 추정한 결 과 홍삼박과 흑마늘박 섭식구가 180과 175마리로 다른 처리에 비해 높은 경향을 보였다. 유충의 살처리 및 동결건조방법에 따른 total ginsenoside, betaine, pyruvate함량은 -20°C 냉동 처리 후 동결건조한 것이 가장 높았으며, 특히 냉동 후 동결건조 처리한 홍삼박 섭식구의 total ginsenoside함 량은 다른 처리에 비해 월등히 높은 경향을 보였다. 따라서 흰점박이꽃무지 유충은 가공 전처리 시 배변 유도 섭식물로 홍삼박을 사용하여 냉동 후 동결건조하는 것이 가장 적합한 것으로 사료된다.

This review examines the importance of measuring practical enteric methane emissions from ruminants, considering their significant impact on global warming. Global warming is significantly driven by an increase in greenhouse gases, with rising methane (CH4) emissions from ruminants accelerating global warming recently. To successfully mitigate CH4 emissions and establish effective strategies, it is essential to apply reliable measurement techniques. This will allow for an accurate assessment of on-farm CH4 emissions. The priority should be to gather CH4 emission data that reflects the actual state of CH4 emissions from ruminants. The review provides an overview of the methods used to measure CH4 emissions from ruminants by compiling existing researches. It introduces the concepts, principles, and limitations of these methods to facilitate comparisons between existing approaches. This review discusses methods for measuring enteric CH4 emissions from ruminants at the farm level, including the tracer technique, laser methane detector, GreenFeed, and sniffer system. These methods are highlighted as potential tools to accumulate substantial data on on-farm CH4 emission from domestic animals with provides examples of international cases. Among these, this review introduces the Sniffer method, a CH4 emission measurement techniques that are suitable for on-farm use under domestic conditions, and emphasizes the necessity of its application. In addition, by presenting international cases where predictive models were developed based on on-farm CH4 measurement techniques, it is projected that if predictive models for CH4 emissions are developed by accumulating data at the farm level, it can contribute to sustainable livestock industry in various promising ways.

최근 결빙으로 인한 교통사고가 빈번히 발생하고 있으며, 도로순찰시 육안 인식이 어려운 도로살얼음 검지를 위해 다양한 방식의 검지센서가 도입되고 있다. 본 연구에서는 국내외 상용화되어 있는 차량부착식 노면상태 검지센서에 대한 현장 검증을 통해 국내 도 로조건에의 적용 가능성을 검토하였다. 차량부착식 검지센서의 성능을 평가하기 위해 한국건설기술연구원의 연천SOC실증연구센터 내 의 도로기상재현 실험시설에 결빙(Ice), 습윤(Wet), 건조(Dry) 등 3가지의 노면상태가 육안으로 명확히 구분이 가능하도록 도로환경을 구현하였으며, 센서종류별로 차량에 부착하여 다양한 도로상태를 측정하였다. 평가결과 노면상태 측정결과의 정확도는 높은 것으로 나 타났으나, 그 외의 측정항목의 정확도는 상당한 차이가 발생하기도 하였다. 향후 다양한 도로환경 조건에서 추가적인 시험을 통해 차 량부착식 노면상태 검지센서의 현장적용을 기반자료로 활용할 수 있을 것으로 판단된다.

국내 콘크리트 구조물의 노후화가 진행됨에 따라 안전관리를 위한 효과적인 보수 및 보강이 요구되고 있다. 특히, 교량 바닥판은 교통하중과 염화물 침투 등 다양한 유해환경에 직접 노출되어 지속적인 열화가 발생하고 있다. 국내외에서는 교량 바닥판 유지보수 의사결정을 위해 비파괴 조사 방법 중 하나인 지표투과레이더(Ground Penetrating Radar, GPR) 탐사가 주로 활용되고 있다. 차량형 다채널 GPR 장비를 통해 취득된 방대한 양의 탐사자료는 해석하는 데 많은 시간이 소요되며 분석가의 주관이나 숙련도에 따라 해석결과가 달라질 수 있다. 이러한 문제를 해결하기 위해 최근에는 딥러닝 (Deep Learning) 기반의 GPR 자료해석 기법들이 제안되고 있다. 본 연구에서는 교량 바닥판 상태 평가 작업 효율 향상 을 위해 딥러닝 기반 GPR 자료해석 기법을 적용하였다. 현장자료 예제로는 영동대교 정밀안전진단 과업에서 교량 바닥 판 상태조사를 위해 취득한 GPR 자료를 사용하였으며 딥러닝 기법 적용 결과를 분석가의 해석결과와 비교하여 예측 성 능을 평가하였다.

Cordyceps militaris is widely used in China, Korea, and other Asian countries as both a traditional medicinal ingredient and an edible fungus. This study aimed to optimize the growth conditions and fruiting body production of C. militaris by investigating various culture media and physical parameters such as pH, aeration, illumination, temperature, spawn materials, and oat–sawdust-based substrate formulations. After a 7-day incubation period, oats with a pH of 6.0, under sealed and illuminated conditions at 32°C, demonstrated the most effective mycelial growth. Substrates consisting of 70% oat and 30% sawdust had the shortest incubation time of 30.5 days for fruiting body formation. The basidiospores showed a typical germination pattern where the sporidium produced a single germ tube that elongated, and branched to form monokaryotic primary mycelia. In conclusion, using oats as a substrate in the cultivation of C. militaris could reduce production costs and help protect the environment.

This study compared the climatic conditions and fruit quality of the ‘Shiranuhi’ mandarin. This variety is expanding to inland areas due to climate change and global warming. The main producing area of ‘Shiranuhi’ mandarin is Jeju Island. In the inland areas where ‘Shiranuhi’ mandarin is grown, the average temperature is 12.9-13.9℃, which is 3-4℃ lower than the temperature in Seogwipo (16.9℃) on Jeju Island. In these inland areas, there are frequent critical minimum temperatures (below –3℃) in January or February, making the open field temperatures unsuitable for growing ‘Shiranuhi’ mandarins. However, farmers in these areas have managed to mitigate this risk by maintaining an average temperature of 18.3℃ inside plastic houses, which are actively heated from December to March. The earliest full bloom of ‘Shiranuhi’ was recorded in Jindo, Jeollanam-do on April 10. The earliest harvest date was observed in Seogwipo, Jeju on January 9, which indicates the shortest maturity period of 272 days. The cumulative temperature inside the greenhouse was highest in Wanju, Jeollabuk-do at 5,755℃. Buan, Jeollabuk-do (5,517℃) and Seogwipo, Jeju (5,518℃) had nearly identical temperatures. Significant differences in fruit quality were observed between the inland areas and Jeju Island. These differences were observed in fruit length, summit length, firmness, and the CIE b* value of the peel. The climate differences seem to have a greater influence on the factors that determine the fruit shape among the fruit quality characteristics. The yield per tree was higher in Seogwipo, Jeju (38.3kg) compared to the inland areas (30 to 34kg). Inland areas predominantly featured medium to small fruits (251-300g), while Jeju Island had a higher proportion of larger fruits (over 350g).

We report a new route of akaganéite (β-FeOOH) formation and maghemite (γ-Fe2O3) formation. Akaganéite can be produced by stirring Fe2+ at room temperature for a day under mild conditions. We used FeCl2 ·4H2O as the precursor and mixed it with the Na-rich particle from the oxidation debris solution. The role of the concentration ratio between graphene oxide (GO) and NaOH was addressed to generate oxidation debris (OD) on the surface. In particular, the characterization of OD by transmission electron microscope (TEM) imaging provides clear evidence for the crystal formation of Na-rich particle under electron beam irradiation. For the base treatment process, increasing the concentration of a NaOH in Na-rich solution contributed primarily to the formation of γ-Fe2O3. The characterization by scanning electron microscope (SEM) and TEM showed that the morphology was changed from needle-like to small-oval form. In addition, β-FeOOH can be effectively produced directly using GO combined with FeCl2 ·4H2O at room temperature. More specifically, the role of parent material (Hummer's GO and Brodie's GO) was discussed, and the crystal transformation was identified. Our results concluded that β-FeOOH can be formed in basic and acidic conditions.

Environmental pollution has led to global warming, which threatens human life. In response, hydrogen is gaining attention as a next-generation energy source that does not emit carbon. Due to its explosive nature, special care must be taken in the safe storage and transportation of hydrogen. Among various storage methods, liquefied storage, which can reduce its volume to 1/800, is considered efficient. However, since its boiling point reaches -253°C, the design of an insulation system is essential. For the design of insulation systems applied to large containers, a membrane-type design is required, which necessitates the use of cryogenic adhesives. To evaluate whether the cryogenic adhesive is properly implemented, assessments such as tensile and shear tests are necessary. This study presents a methodology for shear evaluation. Conventional methods for shear evaluation of adhesives result in slippage, preventing proper assessment. Therefore, a method involving drilling holes in the gripper and pulling from the holes must be applied. Optimal design concerning the size and location of the holes is required, and this study derives optimal values based on finite element analysis. By conducting experiments based on the results of this study, it is expected that the risk of gripper damage will be minimized, allowing for accurate evaluation of the adhesive’s performance.

상선에 비해 잦은 변침을 하고 어획물로 인한 중량 및 무게중심의 변화와 같은 다양한 운항조건을 가진 어선의 경우, 조종성능 은 선박 운항 시에 매우 중요한 역할을 한다. 소형 어선의 사고는 2022년 기준 전체 해상 사고의 약 60%를 차지하며, 이는 부족한 조종성 능으로 인한 충돌과 좌초 사고가 주요 원인이다. 특히 10톤 미만의 소형선박에서 발생한 사고는 전체 사고의 약 65%를 차지하는데, 소형 어선의 조종성능 관련 기준이 부재하여 이를 정확히 평가하기엔 어려움이 있다. 이에 본 연구에서는 4.99톤급 소형 어선을 대상선으로 선 정하여 3D-CAD로 모델링 한 후, 상용 수치해석 프로그램인 STAR-CCM+를 활용하여 선박의 조종운동 시뮬레이션 환경을 구축하였다. 이 를 바탕으로 다양한 표준재화상태와 무게중심을 고려하여 10° / 10° 및 20° / 20° zigzag test와 35° turning test를 수행하였고, 선체 중량이 증가 함에 따라 변침성능이 감소하고 선회성능이 향상되는 경향을 분석하였다. 그 중, 만재출항과 부분만재입항 상태에서는 상대적으로 선회 성능이 부족한 결과를 확인하였다. 이를 바탕으로 소형선박의 안전한 운항을 위한 표준재화상태와 무게중심을 고려한 조종성능의 평가 및 그에 상응하는 표준화된 조종성능 평가 기준의 필요성을 제시하였다. 또한, 본 연구의 조종성능 평가 결과가 소형선박의 조종성능 평 가 기준 선정을 위한 기초자료로 활용될 수 있을 것으로 기대된다.

PURPOSES : This study aims to provide quantitative profile values for the objective evaluation of concrete surface profile (CSP) grades in concrete structures. The main aims are to quantify the CSP grade required for concrete surface pretreatment and proposing a more suitable CSP grade for structural maintenance. METHODS : Initially, the challenges in measuring concrete surface profiles were outlined by analyzing pretreatment work and profile samples of concrete pavements. Theoretical foundations for quantifying concrete surface roughness were established, and regression models including linear regression, cubic regression, and log regression were selected. Additionally, the interquartile range anomaly removal technique was employed to preprocess the data for regression modeling. RESULTS : Concrete CSP profiles were measured through indoor tests, and the measured data were quantified. Linear regression, cubic regression, and log regression models were applied to each CSP grade for comparative analysis of the results. Furthermore, comparative studies were conducted through adhesion strength tests based on the CSP grade. CONCLUSIONS : Our results are expected to establish objective standards for the pretreatment stage of concrete repair and reinforcement. The derived reference values can inform standards for the restoration and reinforcement of concrete structures, thereby contributing to performance improvement. Moreover, our results may serve as primary data for the repair and reinforcement of various concrete structures such as airports, bridges, highways, and buildings.

In the military, ammunition and explosives stored and managed can cause serious damage if mishandled, thus securing safety through the utilization of ammunition reliability data is necessary. In this study, exploratory data analysis of ammunition inspection records data is conducted to extract reliability information of stored ammunition and to predict the ammunition condition code, which represents the lifespan information of the ammunition. This study consists of three stages: ammunition inspection record data collection and preprocessing, exploratory data analysis, and classification of ammunition condition codes. For the classification of ammunition condition codes, five models based on boosting algorithms are employed (AdaBoost, GBM, XGBoost, LightGBM, CatBoost). The most superior model is selected based on the performance metrics of the model, including Accuracy, Precision, Recall, and F1-score. The ammunition in this study was primarily produced from the 1980s to the 1990s, with a trend of increased inspection volume in the early stages of production and around 30 years after production. Pre-issue inspections (PII) were predominantly conducted, and there was a tendency for the grade of ammunition condition codes to decrease as the storage period increased. The classification of ammunition condition codes showed that the CatBoost model exhibited the most superior performance, with an Accuracy of 93% and an F1-score of 93%. This study emphasizes the safety and reliability of ammunition and proposes a model for classifying ammunition condition codes by analyzing ammunition inspection record data. This model can serve as a tool to assist ammunition inspectors and is expected to enhance not only the safety of ammunition but also the efficiency of ammunition storage management.