인삼은 다양한 국가에서 과거로부터 민간의약적으로 사용해 온 유용한 한약자원으로, 동북아시아와 북아메리카에서 서식하고 있다. 인삼의 학명은 Panax ginseng C. A. Meyer로 Araliaceae에 속하고 약용 부위는 곁뿌리를 제거한 뿌리 부분이다. 본 연구에서는 전세계에 분포하는 인삼의 종류와 명칭을 정리하고, 동북아시아 공정서 내 인삼의 기원들을 알아보았다. 다양한 인삼종의 전초의 형태를 비교하였고, 여러 문헌 정보를 바탕으로 각국 인삼종의 약리학적 효능을 정리하였다. 현재 한국에서 재배되고 있는 고려인삼의 품종은 약 15종이며, 이들 중 재래종(자경종), 천풍, 연풍, 금풍, 산양삼의 형태학적 특징을 비교하였다. 한약재 활용 가능한 인삼을 수확하기 위해서는 오랜 기간 재배해야 하며, 그 조건도 까다롭다. 약리학적으 로 가치가 있는 인삼종의 시장 수요를 충족하기 위한 대량증식 방법으로 기내조직배양이 활용될 수 있다. 따라서, 각 인삼종의 종자를 수집하여 크기를 측정하고 형태를 비교하였고, 종자를 횡단면으로 절단해 배의 형태를 관찰했다. 각 인삼종의 종자를 활용하여 기내배양을 진행하였고, MS+GA 1.0mg/L 조건에서 발아율은 미국삼이, 생존율은 금풍이 가장 우수한 것으로 확인 되었다. 인삼의 한 종류인 산양삼은 자연에서 성장 속도가 느리고, 재배조건이 까다롭다는 특징을 가지고 있다. 따라서, 산양삼을 수경 재배해, 해당 인삼종에서 발견되는 다양한 미생물종을 동정하였다. 기내배양을 통한 4종의 인삼종 종자 발아 실험에서도 다양한 미생물종이 확인되었고, rDNA 염기서열 분석을 통해 동정하였다. 본 연구는 한국한의학 연구원이 제공하는 전통의학정보포탈(KIOM Oasis Portal)과 농업진흥청 원예특작과학원의 인삼특작부에서 각 인삼종의 종자를 분양받아 진행되었 다. 해당 논문은 기내배양을 통한 인삼의 대량생산 체계 구축 연구의 초석이 될 것으로 사료된다.

It is well known that the world population is increasing at an incredible pace; subsequently, worldwide food production without compromising the ecosystem is an enormous challenge for the global community. From the beginning of human civilization, meat plays a vital role in acquiring proteins and other nutrients. Despite the indispensable part of the meat in the human diet, it is also considered a critical factor in environmental alterations, greenhouse gas emissions, animal welfare, and land water usage. The excessive use of natural resources and extensive animal production causes greenhouse gas emissions, which triggered reduced meat consumption and the need for more novel meat alternatives. To overcome the extraordinary demand for red meat, the phenomena of meat alternatives or meat substitutes evolved. Subsequently, meat analogs express a higher trend with low cost, safe consumption, and meaty structure and texture. Meat substitutes are predominantly vegetable centered food products that comprise proteins from pulses, cereal, microorganisms, and other fillers and flavorings mediators. Moreover, Meat products with texturized vegetable protein, mushroom, wheat gluten, pulses are considered an excellent source of as a substitute for animal protein. Additionally, mycoprotein had an impressive profile, including higher protein, low fat, health-promoting agents, with good taste and texture. However, there remains a gap in research articles focusing on the regular consumption of meat substitutes. In the current review, an attempt has been made to summarize various types of meat substitutes, different protein sources, production preparation methods, nutritional, functional properties, including current and future perspectives of meat alternatives.

A γ-aminobutyric acid (GABA) producing microorganism was isolated from Sun-Tae Jeotgal, a Korean traditional fermented seafood. Two thousand presumptive lactic acid bacteria (LAB) isolates were screened for GABA production by thin layer chromatography. One isolate, T118, produced GABA profusely, and identified as Lactobacillus brevis. Growth of Lb. brevis T118 was examined during 120 h cultivation in MRS broth under different conditions. Lb. brevis T118 grew well at 30-37℃, initial pH of 4-7, and up to 5% NaCl (w/v). A gene, gadB, encoding glutamate decarboxylase (GAD) was cloned by PCR. gadC encoding a glutamate/GABA antiporter was cloned and gadC located immediately upstream of gadB, indicating gadCB operon structure. The operon structure was confirmed by reverse transcription (RT)-PCR. gadB was overexpressed in Escherichia coli BL21 (DE3) and recombinant GAD was purified. The size of recombinant GAD was 54.4 kDa by SDS-PAGE, which matched well with the calculated size from the nucleotide sequence.

The objective of this study was to investigate the effects of gender on meat quality traits and sensory characteristics of pork loin. A total of 90 pork carcasses (180 days old, 45 barrows and 45 gilts, each gender group was consisted of fifteen 1+, 1 and 2 carcass grades) were selected and loin cuts were excised to investigate meat quality, electronic tongue measures and sensory panel test. There were significant differences in drip loss (1.66% vs 1.21%), released water (12.19% vs 10.68%) and cooking loss (23.67% vs 21.04%) between loins from barrow and gilt (p<0.05). However, no significant differences in meat color (CIE L* a* b*) and shear force were observed between gender groups (p>0.05). Umami and richness values of barrow were significantly higher than those of gilt, while barrow had significantly lower sourness value compared to gilt (p<0.05). On the sensory evaluation, barrow scored higher in flavor, juiciness and tenderness both, and as a result, barrow (5.51 points) also scored significantly higher than gilt (4.86 points). These results suggest that the umami intensity and sensory taste of barrow loin are superior to gilt loin due to its high water-holding capacity.

This paper presents the novel observation model, called Modified Spherical Signature Descriptor(MSSD), capable of representing 2D image generated from 3D point cloud data. The Modified Spherical Signature Descriptor has a uniform mesh grid to accumulate the occupancy evidence caused by neighbor point cloud data. According to a kind of area such as wall, road, tree, car, and so on, the evidence pattern of 2D image looks so different each other. For the parameter learning of Convolutional Neural Network(CNN) layers, these 2D images were applied as the input layer. The Convolutional Neural Network, one of the deep learning methods and familiar with the image analysis, was utilized for the urban structure classification. The case study on CNN practice was introduced in detail in this paper. The simulation results shows that the classification accuracy of CNN with 2D images of the proposed MSSD was improved more than the traditional methods' one.

The key motivation of this study is for a style of the sensor arrangement to have an effect on the localization performance of mobile robots in case of using sonar sensors. In general robot platforms with sonar sensors, sonar sensors are supposed to be radially arranged on their rotational axis of mobile robots. However, relevant limits to several functions required for their autonomous navigation occur unexpectedly, because a sonar sensor generally has the negative nature of its wide beam width together with the specular reflection. We present a new strategy of the sonar sensor arrangement capable of enhancing the localization performance. Sonar sensors are intended to be arranged nonradially (twistedly expressed in this paper) on their rotational axis. The localization scheme called STARER: Sonar-Twisted ARrangement localizER is based on the extended Kalman filter (EKF) with occupancy grid maps. Experimental results demonstrate the validity and robustness of the proposed method for the localization of mobile robots.

In this research, the inspection system for the concentricity of hole-saws through the image analysis is developed. The hole-saw, made by being rolled manually with bimetals, is the tool to make a hole in the wall. Its quality is definitely depended on the concentricity of hole-saws. However, it is difficult to check its concentricity and make a decision for the quality control without any automatic inspection system. This research made the automatic image analysis program based on the singular value decomposition model with only a webcam. Experimental results and evaluations demonstrate the validity of the proposed methods.

This study introduces the web-camera image processing-based natural landmark extraction method for automatic welding using 3-axis stage. The welding is a highly significant process in the industries of shipbuilding, automobile, construction, machinery, and so on. However, it has been avoided due to poor working conditions such as fume, spatter, noise, and so on. For the automatic welding system, the web-camera is used to extract the natural landmarks which can give the relative coordinate to set up the initial position of the stage for the welding process. The Canny edge and Hough transformation have been used to extract the significant points for the natural landmark extraction in this paper.

This study introduces the accurate correction method of bearing position error of mobile robots using Stargazer sensor. The mobile robots require some vital functions including map building, localization, path planning, obstacle avoidance for autonomous navigation. In most cases, the localization of angular pose of a robot is essential because its result has a great effect on the performance of the other functions. We demonstrated the validity of the proposed method with the results of real experiments and applied it to the photographer robot for correct bearing position error at the moment of taking a picture.

This paper shows how effectively sonar data can be worked with approaches suggested for the indoor SLAM (Simultaneous Localization And Mapping). A sonar sensor occasionally provides wrong distance range due to the wide beam width and the specular reflection phenomenon. To overcome weak points enough to use for the SLAM, several approaches are proposed. First, distance ranges acquired from the same object have been stored by using the FPA (Footprint-association) model, which associates two sonar footprints into a hypothesized circle frame. Using the Least Squares method, a line feature is extracted from the data stored through the FPA model. By using raw sonar data together with the extracted features as observations, the visibility for landmarks can be improved, and the SLAM performance can be stabilized. Additionally, the SP (Symmetries and Perturbations) model, a representation of uncertain geometric information that combines the probability theory and the theory of symmetries, is applied in this paper. The proposed methods have been tested in a real home environment with a mobile robot.

This study is focused on the synthesis of urea and amide derivatives particularly, since the amide moiety is an essential binding group at the binding site. Urea derivatives 3-7 and 13-14 were obtained by reaction of 2-aminopyrimidines and other amines with diverse isocyanates in pyridine as a solvent under reflux. The urea derivatives were obtained in low yield because of the highly electron deficient nature of the amino group of the 2-aminopyrimidine. Amide derivatives 8-10 were obtained in moderate yields by reaction of compound 1 with aryl chloride derivatives. Also, arylamine 11 was synthesized by Buchwald-Hartwig amination in moderate yields. Most of the compound did not show good activity against A375P melanoma cells, compared with Sorafenib as control compound.

Development of white light emitting materials has been an interesting area for scientists and scientists have developed many organic, polymer and inorganic materials for white electroluminescent devices. Among them, single component small molecules gave best results in terms of efficiency, simplicity of device fabrication, and CIE values. Therefore, this review covers detailed discussion about syntheses of small compounds used in white organic light emitting devices until 2007.