• Korean Journal of Food Science and Technology
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• v.48 no.2
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• pp.159-164
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• 2016

This study was conducted to investigate the quality characteristics and antioxidant properties of cookies supplemented with 1-4% (w/w) persimmon leaf powder (PLP). pH and density of the cookie dough increased significantly with increase in PLP concentration (p<0.05). The moisture content, spread ratio, and loss rate of cookies decreased significantly with increase in PLP concentration (p<0.05). Lightness ($L^*$), redness ($a^*$), and yellowness ($b^*$) also decreased significantly with increase in PLP concentration (p<0.05). The use of PLP significantly increased the hardness of the cookies. Moreover, 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2'-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid (ABTS) radical scavenging activities were significantly elevated (p<0.05). The consumer acceptance test indicated that addition of PLP at a concentration of up to 2% (w/w) garnered a favorable response from consumers with respect to softness, taste, and overall preference. On the basis of the overall observations, cookies supplemented with 2% (w/w) PLP were found to benefit from the functional properties of PLP, without compromising on consumer acceptance.

• Journal of KIISE
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• v.41 no.10
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• pp.762-773
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• 2014

As the web of data is increasingly producing large RDFS datasets, it becomes essential in building scalable reasoning engines over large triples. There have been many researches used expensive distributed framework, such as Hadoop, to reason over large RDFS triples. However, in many cases we are required to handle millions of triples. In such cases, it is not necessary to deploy expensive distributed systems because logic program based reasoners in a single machine can produce similar reasoning performances with that of distributed reasoner using Hadoop. In this paper, we propose a scalable RDFS reasoner using logical programming methods in a single machine and compare our empirical results with that of distributed systems. We show that our logic programming based reasoner using a single machine performs as similar as expensive distributed reasoner does up to 200 million RDFS triples. In addition, we designed a meta data structure by decomposing the ontology triples into separate sectors. Instead of loading all the triples into a single model, we selected an appropriate subset of the triples for each ontology reasoning rule. Unification makes it easy to handle conjunctive queries for RDFS schema reasoning, therefore, we have designed and implemented RDFS axioms using logic programming unifications and efficient conjunctive query handling mechanisms. The throughputs of our approach reached to 166K Triples/sec over LUBM1500 with 200 million triples. It is comparable to that of WebPIE, distributed reasoner using Hadoop and Map Reduce, which performs 185K Triples/sec. We show that it is unnecessary to use the distributed system up to 200 million triples and the performance of logic programming based reasoner in a single machine becomes comparable with that of expensive distributed reasoner which employs Hadoop framework.

• Journal of Plant Biotechnology
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• v.41 no.3
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• pp.159-167
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• 2014

In eukaryotes, proteins that are secreted into ER are post-translationally modified by N-glycosylation, the patterns of which are significantly different between plant and animal cells. Biotechnology industry has already produced a number of therapeutic glycoproteins in plant cells. However, the aberrant glycosylation of therapeutic recombinant proteins in plant systems can cause immune problems in humans. Therefore, it is important to develop strategies for producing non-glycosylated forms to preserve biological activity and native conformation by a peptide: N-glycanase (PNGase). In this study, we try to isolate PNGase T gene from tomato, which can use as a platform plant for biotechnology industry. We isolated a cDNA (GenBank Accession number KM401550) from tomato leaves with 1,767 bp, which encoded a polypeptide of 588 amino acids with a predicted molecular mass of 65.8 kDa. We also investigated the expression patterns of PNGase T during fruit ripening of tomato. The transcripts of PNGase T, which were constitutively induced in tomato fruit from green stage, were significantly increased and reached a peak at orange stage. After which, those transcripts were continuously reduced. The expression pattern of PNGase T was coincided well with transcripts profiles of metacaspase gene, LeMCA, and senescence-related gene members of ACC synthase, LeACS2, LeACS4, and LeACS6, for ethylene biosynthesis during fruit ripening. These results suggest that PNGase T is involved in a de-glycosylation process associated with senescence and fruit ripening.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.8
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• pp.1296-1302
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• 2013

The quality of fresh jujube (Zizyphus jujuba) fruit rapidly declines in the postharvest stage and thus the effective storage conditions for agricultural warehouses were investigated in this study. Fresh jujubes (~10 kg) were stored using five different storage methods: plastic box without further packaging as a control (C-PL), plastic box with hanji packaging (H-PL), plastic box with functional film packaging (F-PL), cardboard box with hanji packaging (H-CB), and cardboard box with functional film packaging (F-CB). The storage boxes were stored in a refrigerator ($0^{\circ}C$ and 80~90% RH), equipped with an ethylene gas scavenging device for 9 weeks and then the quality characteristics were analyzed. The control storage conditions of jujubes showed a substantial decline in quality with decreases in moisture content, hardness, and sugar content as well as increases in decay ratio and redness. Among the tested storage conditions, F-CB was most effective in terms of maintaining the quality of jujube fruit while maintaining firmness, weightlessness, ripening degree from redness and visible appearance. In conclusion, effective storage and packaging conditions during storage enabled maintenance of fruit quality of jujubes for 9 weeks.

• Journal of Music and Human Behavior
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• v.12 no.1
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• pp.1-21
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• 2015

This study examined the effects of a tablet PC-based music-making program on the executive function of adolescents with intellectual disabilities. Four adolescents with intellectual disabilities participated in this program. Each participant received 45-minute individual sessions twice a week for a total of 16 sessions. The music-making program was designed in the sequence of planning; learning table PC operations; exploring musical elements; making rhythm, melody, and lyrics; composing loop sections; and presentation of the completed music. The Stroop test, Children's Color Trails Test, and Digit Span and Letter-Number sequencing tests were measured at pretest, midtest, and posttest in order to examine changes in executive function. The participants showed increased scores on all three tests. The participants' attention span also increased and their attempts to correct errors during tasks occurred more frequently at posttest. This study supports the effects of the technology-based program on the executive function of adolescents with intellectual disabilities and presents its expanded applicability for adolescents who show low cognitive function and limited motivation for cognitive engagement.

• Science of Emotion and Sensibility
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• v.18 no.2
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• pp.75-84
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• 2015

Although various methods have been proposed and utilized for video reality improvement, use of olfaction still remains at a rudimentary stage. Previous research reported reality improvement effect of some scents when a video displayed specific objects whose odors matched to the scents provided. In addition, another study showed that provision of scents that correspond to the prevailing color of a video improves sense of immersion. However, the above studies have clear limitations because not all videos have specific odor or obvious color. Assuming, in this study, that sensibility-based scent provision in the absence of main odor or color will increase sense of reality, the present study aimed at building adjective profiles of various scents that convey different sensibilities. To this end, in Experiments 1 and 2, we collected a set of adjectives appropriate for description of scents, and in Experiment 3, we built profiles of 16 scents using 30 adjectives. In addition, we grouped scents of similar sensibilities using cluster analysis. These results could be used not only for video reality improvement but also for the purposes of emphasizing product concepts or store positioning, etc.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.1
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• pp.21-35
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• 2009

KOMPSAT-2 is the seventh high-resolution image satellite in the world that provides both 1m-grade panchromatic images of the GSD and 4m-grade multispectral images of the GSD. It's anticipated to be used across many different areas including mapping, territory monitoring and environmental watch. However, due to the complexity and security concern involved with the use of the MSC, the use of KOMPSAT-2 images are limited in terms of geometric images, such as satellite orbits and detailed mapping information. Therefore, this study aims to produce DEM and orthoimage by using the stereo images of KOMPSAT-2, and to explore the applicability of geo-spatial information with KOMPSAT -2. Orientation interpretations were essential for the production of DEM and orthoimage using KOMPSAT-2 images. In the study, they are performed by utilizing both RPC and GCP. In this study, the orientation interpretations are followed by the generation of DEM and orthoimage, and the analysis of their accuracy based on a 1:5,000 digital map. The accuracy analysis of DEM is performed and the results indicate that their altitudes are, in general, higher than those obtained from the digital map. The altitude discrepancies on plains, hills and mountains are calculated as 1.8m, 7.2m, and 11.9m, respectively. In this study, the mean differences between horizontal position between the orthoimage data and the digital map data are found to be ${\pm}3.081m$, which is in the range of ${\pm}3.5m$, within the permitted limit of a 1:5,000 digital map. KOMPSAT-2 images are used to produce DEM and orthoimage in this research. The results suggest that DEM can be adequately used to produce digital maps under 1:5,000 scale.

• Korean journal of food and cookery science
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• v.31 no.6
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• pp.741-748
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• 2015

This study evaluated the effects of adding blood levels to phycochemical properties, textural properties, and sensory characteristics of blood sausage. 4 treatment groups of blood sausage were produced, T1 (pork ham : pork blood = 60:15), T2 (55:20), T3 (50:25), and T4 (45:30). T1 had the highest moisture content, most cohesiveness, and gumminess, CIE L-value, CIE a-value, and CIE b-value of raw and cooked blood sausages. Protein content, fat content, ash content, and VBN values were not significantly different among the treatments. T4 was treated with the most added pork blood, and had the highest pH of raw and cooked blood sausages, cooking loss, and TBA values. T2's sausage was the hardest, but had more springiness, cohesiveness, gumminess, and chewiness than T4. The best scores were from T4 and had the most overall acceptability. The results of this study show that blood sausages containing 20% pork blood had higher improved quality characteristics in blood sausages.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.85-91
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• 2020

Recently, video-taping equipment such as CCTV have been seeing more use for crime prevention and general safety concerns. Since these video-taping equipment operates all throughout the day, the need for security personnel is lessened, and naturally costs incurred from managing such manpower should also decrease. However, technology currently used predominantly lacks self-sufficiency when given the task of searching for a specific object in the recorded video such as a person, and has to be done manually; current security-based video equipment is insufficient in an environment where real-time information retrieval is required. In this paper, we propose a technology that uses the latest deep-learning technology and OpenCV library to quickly search for a specific person in a video; the search is based on the clothing information that is inputted by the user and transmits the result in real time. We implemented our system to automatically recognize specific human objects in real time by using the YOLO library, whilst deep learning technology is used to classify human clothes into top/bottom clothes. Colors are also detected through the OpenCV library which are then all combined to identify the requested object. The system presented in this paper not only accurately and quickly recognizes a person object with a specific clothing, but also has a potential extensibility that can be used for other types of object recognition in a video surveillance system for various purposes.

• 지역과문화
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• v.7 no.1
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• pp.153-182
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• 2020

Andong is the place where the most ginger is produced in Korea. The article is based on a study on the development of storytelling of a co-brand of local agricultural products, focusing on the case of 'The Geudae Ginger,' a co-brand of ginger in Andong. This study aims to develop a brand storytelling of Andong Ginger's co-branded 'Geudae Ginger' to build an image as a local specialty and help revitalize the Andong ginger's industry. The process of developing storytelling to activate 'Geudae Ginger' brand is as follows. In the first step, I collected storytelling materials through data research. Ginger, which has long been used as a medicine for mankind, has more historical and cultural stories than anything else. In the second step, story resources were extracted based on data research. By analyzing the story properties of Andong ginger, we made its list. As a result, the image of the nobility, rigidity and chastity of ginger, which is used to benefit all over, could be associated with the image of Andong, the capital of Korean spiritual culture. Storytelling was developed in the third step. The main theme was 'Andong ginger with anther level ' and the main story was 'The Story of Andong's Ginger Teacher'. The scenario developed is as follows: 1. Introducing Andong's Ginger Teacher, 2. The birth of Dosan Thirteen Tea, 3. 'Geudae Ginger' that bridges love. In the last fourth step, I proposed ways to utilize storytelling. I presented the spread methods of consumer-participated storytelling using images of 'Geudae Ginger' and a new-tro event with teachers highlighting the image of 'Ginger Teacher' and others as a local business program for storytelling expansion.