본 연구는 한국에서 분리한 송곳니구름버섯 (Irpex consors) 균사체의 에탄올 생산 가능성을 탐색하기 위해 수행되었다. 송곳니구름버섯의 균사체를 당이 함유된 배지에 접종하여 에탄올 생산량을 측정하였다. 포도당, 만노오스, 자일로스 등 단당류와 셀로비오스 등의 이당류가 각각 1 g 함유된 발효배지에 송곳니구름버섯의 균사체를 접종하고 배양한 결과 각각의 이들 당류에서 0.23, 0.19. 0.21, 0.17 g의 에탄올이 생산되었다. 또한 볏짚을 열수, 3% 가성소다, 3% 황산용액으로 각각 전 처리한 후 송곳니구름버섯의 균사체를 접종하고 배양한 결과 1 g의 볏짚은 각각 0.12, 0.15, 0.19 g의 에탄올로 전환되었다. 본 실험을 통해 송곳니구름버섯의 균사체는 여러 종류의 환원당을 이용해 에탄올을 생산할 수 있는 것은 물론 열수, 가성소다 및 황산으로 전 처리한 볏짚을 에탄올로 전환하는 것도 가능한 것으로 나타났다. 따라서 송곳니구름버섯 균사체의 에탄올 생산 수율을 본 실험의 결과 보다 높일 수 있다면 당류뿐 만아니라 볏짚을 비롯한 리그닌셀룰로오스의 바이오매스를 이용해 바이오에탄올을 효율적으로 생산해 우리나라 에너지 수요를 자급하는데 큰 기여를 할 수 있을 것으로 사료된다.

Geomagnetic field signals have potential for use in underwater navigation and geophysical surveys. To map underwater geomagnetic fields, we propose a method that exploits an autonomous surface vehicle. In our system, a magnetometer is rigidly attached to the vehicle and not towed by a cable, minimizing the system’s size and complexity but requiring a dedicated calibration procedure due to magnetic distortion caused by the vehicle. Conventional 2D methods can be employed for the calibration by assuming the horizontal movement of the magnetometer, whereas the proposed 3D approach can correct for horizontal misalignment of the sensor. Our method does not require a supporting crane system to rotate the vehicle, and calibrates and maps simultaneously by exploiting data obtained from field operation. The proposed method has been verified experimentally in inland waters, generating a magnetic field map of the test area that is of much higher resolution than the public magnetic field data.

Acoustic based localization is essential to operate autonomous robotic systems in underwater environment where the use of sensorial data is limited. This paper proposes a localization method using artificial underwater acoustic sources. The proposed method acquires directional angles of acoustic sources using time difference of arrivals of two hydrophones. For this purpose, a probabilistic approach is used for accurate estimation of the time delay. Then, Gaussian sum filter based SLAM technique is used to localize both acoustic sources and underwater vehicle. It is performed by using bearing of acoustic sources as measurement and inertial sensors as prediction model. The proposed method can handle directional ambiguity of time difference based source localization by generating Gaussian models corresponding to possible locations of both front and back sides. Through these processes, the proposed method can provide reliable localization method for underwater vehicles without any prior information of source locations. The performance of the proposed method is verified by experimental results conducted in a real sea environment.

The purpose of this study was to investigate yield rate of carbon fibers reinforced epoxy composites in near-critical water. A CFRP (carbon fiber reinforced plastic) laminate stacked with twenty layers was used and the specimens were cut in 10 × 50 mm (thickness: 4 mm) size. The CFRP sample was placed and heated within the non-stirred bath autoclave with an electric furnace. The yield percentage is calculated by the weight percentage of eliminated resin. To check the surface of carbon fiber, scanning electron microscopy was employed. The results showed that the removal percentages of weight were between 53.9% and 97.1%. The best yield was significantly increased up to 97.1% when operating in 573 K (14 MPa) condition. This research suggests an basic data to design a commercial scale recycling system or a new low cost recycling system for CFRP waste.