• Atmosphere
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• v.23 no.3
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• pp.283-291
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• 2013

This study investigates the changes in the atmosphere-ocean interactions over the South China Sea (SCS) by analyzing their variables in the period of 1979~2011 during the boreal summer (June-July-August). It is found that a simultaneous correlation coefficient between sea surface temperature (SST) and precipitation over SCS during summer is significantly changed before and after the late-1990s. That is, the variation of precipitation over SCS is negatively (positively) correlated with the SST variations before (after) the late-1990s. Our further correlation analysis indicates that the atmospheric forcing of the SST is dominant before the late-1990s accompanying with wind-evaporation feedback and cloud-radiation feedback. After the late-1990s, in contrast, the SST forcing of the atmosphere through the latent heat flux from the ocean to the atmosphere is dominant. It is found that the change in the relationship of atmosphere-ocean interactions over SCS are associated with the changes in the relationship with Northeast Asian summer precipitation. In particular, a simultaneous correlation coefficient between the precipitation over SCS and Northeast Asia becomes stronger during after the late-1990s than before the late-1990s. We argue that the increase of the SST forcing of the atmosphere over SCS may lead a direct relationship of precipitation variations between SCS and Northeast Asia after the late-1990s.

• Journal of the Korean Society of Food Science and Nutrition
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• v.46 no.3
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• pp.279-288
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• 2017

This study investigated the manufacturing of fermented soybean oil using a fermenting strain commonly processed for soybeans [Bacillus amyloliquefaciens (BA), Bacillus subtilis (BS), Lactobacillus acidophilus (LBA), and B. subtilis+L. acidophilus (BLO)] and evaluated its anti-obesity activities. Cytotoxicity of four kinds of fermented soybean oils was not observed in 3T3-L1 preadipocytes at 10 and $50{\mu}g/mL$. Triglyceride content was reduced by 20.6% in the BLO group at a treatment concentration of $50{\mu}g/mL$. The simultaneous treatment of fermented soybean oil and differentiation induction medium decreased $PPAR{\gamma}$ and $C/EBP{\alpha}$ gene expression at a concentration of $50{\mu}g/mL$ and blocked adipocyte differentiation by increasing adiponectin gene expression. The inhibitory effect of adipocyte differentiation was greatest in the BLO group. C57BL/6J mice were examined for 4 weeks after being separated into seven groups [normal diet group (N), high fat diet group (C), group fed high fat diet combined with regular soybean oil (SO), group fed non-fermented soybean oil (NF), and groups fed high fat diet combined with 5% fermented soybean oil (BA, BS, LBA, and BLO)] to identify the effects of soybean oil on body weight, serum lipid, adiponectin, insulin, and leptin levels in mice with high fat diet-induced obesity. The body weight and serum lipid level of the C group increased drastically compared to those of the N group. In contrast, the group fed a diet combined with fermented soybean oil showed decreases in weight, serum total cholesterol, LDL-cholesterol, and triglyceride levels compared to those of the C group. Moreover, soybean oil was found to be effective in the BLO group. In conclusion, fermented soybean oil has positive effects in prohibiting adipocyte differentiation increased by high fat diet and improving serum lipid composition. Therefore, fermented soybean oil can be used as a functional food material with anti-obesity activity.

• Journal of Internet Computing and Services
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• v.14 no.5
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• pp.1-10
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• 2013

RFID(Radio Frequency Identification) system is non-contact identification technology. A basic RFID system consists of a reader, and a set of tags. RFID tags can be divided into active and passive tags. Active tags with power source allows their own operation execution and passive tags are small and low-cost. So passive tags are more suitable for distribution industry than active tags. A reader processes the information receiving from tags. RFID system achieves a fast identification of multiple tags using radio frequency. RFID systems has been applied into a variety of fields such as distribution, logistics, transportation, inventory management, access control, finance and etc. To encourage the introduction of RFID systems, several problems (price, size, power consumption, security) should be resolved. In this paper, we proposed an algorithm to significantly alleviate the collision problem caused by simultaneous responses of multiple tags. In the RFID systems, in anti-collision schemes, there are three methods: probabilistic, deterministic, and hybrid. In this paper, we introduce ALOHA-based protocol as a probabilistic method, and Tree-based protocol as a deterministic one. In Aloha-based protocols, time is divided into multiple slots. Tags randomly select their own IDs and transmit it. But Aloha-based protocol cannot guarantee that all tags are identified because they are probabilistic methods. In contrast, Tree-based protocols guarantee that a reader identifies all tags within the transmission range of the reader. In Tree-based protocols, a reader sends a query, and tags respond it with their own IDs. When a reader sends a query and two or more tags respond, a collision occurs. Then the reader makes and sends a new query. Frequent collisions make the identification performance degrade. Therefore, to identify tags quickly, it is necessary to reduce collisions efficiently. Each RFID tag has an ID of 96bit EPC(Electronic Product Code). The tags in a company or manufacturer have similar tag IDs with the same prefix. Unnecessary collisions occur while identifying multiple tags using Query Tree protocol. It results in growth of query-responses and idle time, which the identification time significantly increases. To solve this problem, Collision Tree protocol and M-ary Query Tree protocol have been proposed. However, in Collision Tree protocol and Query Tree protocol, only one bit is identified during one query-response. And, when similar tag IDs exist, M-ary Query Tree Protocol generates unnecessary query-responses. In this paper, we propose Adaptive M-ary Query Tree protocol that improves the identification performance using m-bit recognition, collision information of tag IDs, and prediction technique. We compare our proposed scheme with other Tree-based protocols under the same conditions. We show that our proposed scheme outperforms others in terms of identification time and identification efficiency.