식용버섯은 1-3일의 제한된 유효 섭취기간을 가진 가장 부패하기 쉬운 재료 중 하나로서 바실러스 세레우스(Bacillus cereus), 장(관)출혈성 대장균(enterohemorrhagic Escherichia coli), 리스테리아 모노사이토제넨스(Listeria monocytogenes) 및 황색포도상구균(Staphylococcus aureus) 등의 병원성 세 균에 오염될 수 있으며, 특히 팽이버섯은 포장 및 소비 전 에 추가적인 세척이나 가공 단계를 거치지 않기 때문에 이를 그대로 섭취 시 소비자의 식품안전에 문제를 미칠 수 있다. 무엇보다 팽이버섯은 소비자들이 자연스럽고 영 양가 있는 식단을 선호하는 이유로 종종 날 것으로, 즉 샐 러드와 샌드위치 등의 형태로 섭취된다는 점에 유의할 필 요가 있다. 따라서 본 연구는 팽이버섯(Flammulina velutipes)에 접종한 병원성 대장균 O157:H7(pathogenic Escherichia coli O157:H7) 및 리스테리아 모노사이토제넨 스를 제어하기 위하여 초음파(ultrasound, US)와 유기산 (organic acids, OAAs) 및/또는 식물성 에센셜(essential) 오 일의 병행 처리에 따른 저감 효과를 조사하고자 수행되었다. 팽이버섯에 105-6 CFU/g의 수준에 상응하는 각 병원성 세균을 접종하고 다양한 농도의 유기산, 최소저해농도 (minimal inhibitory concentrations, MICs)의 티몰(thymol) 및/또는 20 kHz 초음파를 상온에서 15분 동안 개별적으 로 또는 병행하여 처리하였다. 그 결과로써, 상온에서 15 분 동안 3% 유기산, 2×MIC 티몰 또는 20 kHz 초음파를 개별적으로 처리한 후 병원성 대장균 O157:H7과 리스테 리아 모노사이토제넨스의 균 밀도가 약 1.7 로그 이하로 감소한 반면, 3% 젖산과 2×MIC 티몰의 혼합액에 20 kHz 초음파를 상온에서 15분간 병행처리한 경우 팽이버섯에 접종한 병원성 대장균 O157:H7과 리스테리아 모노사이토 제넨스의 균 밀도가 대략 3.0 로그 이상으로 감소함에 따 라 additive 효과가 관찰되었다. 특히 3% 젖산(lactic acid, LA)+2×MIC 티몰+20 kHz 초음파의 병행처리를 하기 전∙ 후에 팽이버섯의 색상 변화에 유의미한(P<0.05) 차이가 관 찰되지 않았다. 결론적으로 팽이버섯에 접종한 병원성 대장균 O157:H7 및 리스테리아 모노사이토제넨스의 제어에 단일 처리로서 3% 젖산이 가장 효과적이었던 반면, 초음파의 단일 처리 로서는 이러한 병원성 세균에 대한 저감 효과를 관찰할 수 없었다. 특히 유기산(즉 젖산) 및 초음파를 단일 처리 하였을 때보다 젖산과 티몰의 혼합액(mixture)에 20 kHz 초음파를 동시에 병행 처리하였을 때 유의적으로(P<0.05) 가장 높은 저감 효과를 관찰할 수 있었다. 이에 따라 초 음파는 유기산과 티몰의 혼합용액이 병원성 대장균 O157:H7 의 세포에 더 수월하게 접근을 가능케 하여 결국 세포막 파괴를 수반하는 것으로 확인되었다.
This study examined the simultaneous application of absorption and adsorption by adding granular activated carbon to tap water (Absorbent-A) and sodium hypochlorite (Absorbent-B), with the aim of improving the removal performance of gaseous acetaldehyde applying hybrid process. Prior to the main experiment, preliminary tests were conducted to assess the effects of HOCl concentration (50~150 ppm) and reactor temperature (25~35oC). In the main experiment, the removal performance under activated carbon-added conditions was compared using the concentration ratio (Co/ Ci) and its rate of change over time. As a result, the addition of activated carbon led to a more gradual saturation and concentration change compared to the non-addition condition, with the addition showing the most stable trend. This study suggests a basic reference for improving the performance of conventional absorbents enhancing the durability and efficiency with the activated carbon as an auxiliary material for future field applications.
This study evaluated the field applicability of a real-time odor monitoring system combined with ozone water spraying technology to effectively control odors generated in livestock manure recycling facilities. Research was conducted at a Natural Circulation Agriculture Center located in N City, where concentrations of ammonia (NH3), hydrogen sulfide (H2S), and volatile organic compounds (VOCs) were measured in real time. Based on real-time data, ozone water was sprayed to assess the odor reduction rate, and the impact on surrounding areas was predicted through odor dispersion modeling. The results showed that the ammonia concentration measured at the upper section of the liquid aeration tank before ozone water spraying was 8.02 ppm, exceeding the emission limit of 1 ppm. VOCs were also found to have significantly contributed to odor generation. However, after spraying ozone water at a rate of 7 L/min and maintaining a concentration of 2.5 mg/L, ammonia was reduced by approximately 50%, and VOCs were reduced by about 98%, demonstrating a strong odor-reducing effect. Odor dispersion modeling using the CALPUFF modeling system simulated the range of odor dispersion before and after ozone water spraying. The results indicated that after ozone water spraying, the ammonia concentration at the facility boundary met the emission limit, effectively suppressing odor dispersion. In particular, the ozone water spraying system linked with the real-time sensor enabled automated odor control based on real-time data, demonstrating its potential for resolving odor complaints and ensuring compliance with environmental regulations.
This study presents the implementation of a direct power control (DPC) system based on virtual flux for an eco-friendly ship utilizing a low voltage DC distribution within a Simulink environment. The proposed system regulates the DC bus voltage and the instantaneous power of the generator. The electrical load of the generator is classified into three levels (low, medium, and high) and subjected to ±10% variations. Under these conditions, the characteristics of the DC bus voltage and current, instantaneous active and reactive power as well as the voltage and current of the generator, are thoroughly analyzed. The simulation results indicate that the DC bus voltage and instantaneous active and reactive power remain stable and well-regulated at their set-points despite load fluctuations. Furthermore, the voltage and current of the generator, consistently maintain sinusoidal waveforms and remain in phase. These findings validate the effectiveness of the proposed virtual flux-based direct power control strategy, demonstrating its suitability for DC distribution applications in maritime vessels.
Autonomous vehicle technology is targeted for commercialization in 2027. However, a mixed traffic environment of conventional vehicles and autonomous vehicles is expected to be inevitable. In mixed traffic, conventional vehicles drive at reduced speeds due to limited visibility, while autonomous vehicles can drive at normal speeds using sensors. The difference in driving speeds between the two vehicles creates a mismatch in traffic flow, and the risk of congestion and accidents is likely to increase. It is necessary to analyze the impact of the interaction between autonomous vehicles and regular vehicles on traffic safety in advance and develop management measures to mitigate it. In this study, we aim to analyze the effect of reducing the speed deviation between general vehicles and autonomous vehicles by providing the driving speed deceleration level information to autonomous vehicles in the event of fog to induce the same traffic flow and improve the safety level accordingly. We examined the method of delivering the driving speed deceleration level information to autonomous vehicles. When providing speed limit information to autonomous vehicles through systems such as VMS, each country has different ways of recognizing regulatory symbols. Due to these differences, it may not be easy to provide regulatory information to overseas vehicles through external systems such as VMS in Korea. For this reason, there is a possibility that autonomous vehicles may violate laws and regulations by not recognizing them properly, and there are still limitations in defining the responsibility for applying laws and regulations between countries. Therefore, we adopted an information provision approach that encourages autonomous vehicles to maintain a harmonious traffic flow with regular vehicles by sharing safe driving speed information to be encouraged at the public center level. To analyze the effectiveness of these safe driving speed management measures, we used a quantitative indicator, the number of observable conflicts, to distinguish the mixing ratio of regular vehicles and autonomous vehicles. The analysis was divided into early (30%), mid (50%), and late (80%) periods of autonomous vehicle introduction. As a result of giving autonomous vehicles the same traffic flow as regular vehicles, the number of collisions decreased by 128 collisions/hour in the early period, 393 collisions/hour in the mid period, and 337 collisions/hour in the late period. This indicates that the interaction between autonomous vehicles and conventional vehicles becomes more complex as the mixing ratio increases, and the effectiveness of the safe speed management measures proposed in this study increases accordingly. These results can be used as an important basis for transportation policy and design.
Korea is a major chestnut producer, and about half of its production is discarded as chestnut shells. This study aimed to manufacture an environmentally friendly adsorbent using these wastes. For this purpose, the optimum carbonization temperature of chestnut shells was derived through thermogravimetric analysis, with structural change confirmed through SEM analysis. The results showed that the sample that carbonized at 350oC for 60 min after phosphorylation had both the highest initial acetaldehyde removal rate and the longest duration compared to other samples. As a result, an eco-friendly adsorbent for acetaldehyde was produced from chestnut shell biomass. Through this research, it was confirmed that the adsorbent can be effectively used for acetaldehyde control while addressing the issue of recycling chestnut shell wastes.
In this paper, several types of torque distribution functions (TDFs) are presented for the instantaneous torque control of switched reluctance motor (SRM) drives. To verify the feasibility and effectiveness of the proposed TDFs, two different categories—parameter non-adaptive and parameter adaptive functions—are introduced and analyzed. These different types of TDFs are systematically implemented in instantaneous torque control schemes to enhance the performance of SRM drives. The proposed torque control method, incorporating these various TDFs, is modeled and simulated in PSIM software to validate the presented control schemes. Simulation results demonstrate the effectiveness of the proposed approach in achieving precise torque control and improving the dynamic performance of SRM drives.
In this study, a control algorithm was developed to suppress the free vibration amplitude of a cantilever beam with time-varying dynamic characteristics. In other words, since it is assumed that the natural frequency and mode shape of the vibrating structure are not fixed, the system model of the vibrating structure was not used in the control algorithm. A single electromagnet was chosen as the actuator, so the attractive force was applied to only one fixed location in the structure. Through experiments, the proposed control algorithm is proven to effectively suppress the amplitude of vibration even when the dynamic characteristics of the cantilever beam change. Contrary to the usual active vibration control method, the proposed algorithm is just simple and intuitive without complicated mathematics in the modeling and control process. However, the proposed control method is very effective to suppress the vibration even when the dynamic characteristics of the target structure is not exactly known, as is often the case in industries or laboratories.