Feng, Peishi;Zhao, Wanqiu;Xie, Qiang;Zeng, Tao;Lu, Lizhi;Yang, Lin
Asian-Australasian Journal of Animal Sciences
/
v.31
no.10
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pp.1535-1541
/
2018
Objective: In birds, three types of melatonin receptors (MTNR1A, MTNR1B, and MTNR1C) have been cloned. Previous researches have showed that three melatonin receptors played an essential role in reproduction and ovarian physiology. However, the association of polymorphisms of the three receptors with duck reproduction traits and egg quality traits is still unknown. In this test, we chose MTNR1A, MTNR1B, and MTNR1C as candidate genes to detect novel sequence polymorphism and analyze their association with egg production traits in Shaoxing duck, and detected their mRNA expression level in ovaries. Methods: In this study, a total of 785 duck blood samples were collected to investigate the association of melatonin receptor genes with egg production traits and egg quality traits using a direct sequencing method. And 6 ducks representing two groups (3 of each) according to the age at first eggs (at 128 days of age or after 150 days of age) were carefully selected for quantitative real-time polymerase chain reaction. Results: Seven novel polymorphisms (MTNR1A: g. 268C>T, MTNR1B: g. 41C>T, and g. 161T>C, MTNR1C: g. 10C>T, g. 24A>G, g. 108C>T, g. 363 T>C) were detected. The single nucleotide polymorphism (SNP) of MTNR1A (g. 268C>T) was significantly linked with the age at first egg (p<0.05). And a statistically significant association (p<0.05) was found between MTNR1C g.108 C>T and egg production traits: total egg numbers at 34 weeks old of age and age at first egg. In addition, the mRNA expression level of MTNR1A in ovary was significantly higher in late-mature group than in early-mature group, while MTNR1C showed a contrary tendency (p<0.05). Conclusion: These results suggest that identified SNPs in MTNR1A and MTNR1C may influence the age at first egg and could be considered as the candidate molecular marker for identify early maturely traits in duck selection and improvement.
Physics-based sound synthesis usually requires high computational costs and this results in a restriction of its use in real-time applications. This motivates us to implement the sound synthesis algorithm of plucked-string instruments using multi-core processor architectures and determine the optimal processing element (PE) configuration for the target instruments. To determine the optimal PE configuration, we evaluate the impacts of a sample-per-processing element (SPE) ratio that is defined as the amount of sample data directly mapped to each PE on system performance and both area and energy efficiencies using architectural and workload simulations. For the acoustic guitar, the highest area and energy efficiencies are achieved at a SPE ratio of 5,513 and 2,756, respectively, for the synthesis of musical sounds sampled at 44.1 kHz. In the case of the classical guitar, the maximum area and energy efficiencies are achieved at a SPE ratio of 22,050 and 5,513, respectively. In addition, the synthetic sounds were very similar to original sounds in their spectra. Furthermore, we conducted MUSHRA subjective listening test with ten subjects including nine graduate students and one professor from the University of Ulsan, and the evaluation of the synthetic sounds was excellent.
Lee Hyun-Ryong;Moon Sung-Tae;Kim Jong-Won;Shin Dong-Yun
The Journal of Korean Institute of Communications and Information Sciences
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v.31
no.5B
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pp.430-441
/
2006
As the various A/V devices and home networks are delivered to users, home networks are changing to an entertainment network. It is expected that the required network bandwidth and the amount of usage of media content in home entertainment networks will be increased. Although the access networks and home networks becoming a high speed network, there remains the problems for QoS-guaranteed media content transfer in home networks. Also, in the home network, there can be network traffic caused by applications like video conferencing, video telephone, and VoIP(voice over IP) as well as inner network traffic of home network. Since media content transfer requires the real-time delivery, it is very important and basic requirement that is to transfer media content to A/V device user wants while keeping the media quality. Even though there are many middleware protocol for home networking, they provide basic device discovery and control or simple functions for QoS-guaranteed media content transfer that are not enough to provide QoS-guaranteed media transfer service that user wants. Thus, in this paper, we propose the technique based on UPnP(universal plug and play) protocol for QoS-guaranteed media content transfer in the home network. The proposed technique is compatible with UPnP and can be used with UPnP as additional functions. In this paper, we utilize VideoLAN application to verify the proposed technique. We add the additional modules that support the proposed technique's function to VideoLAN and we verify the its functions through various test scenarios.
Kim, Jaehwan;Seo, Dong-Woo;Jung, Kyu-San;Park, Ki-Tae
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.3
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pp.246-252
/
2020
Safety accidents have been reported due to falling accumulated snow from cables of cable-supported bridges. In addition to the direct damage caused by falling snow, secondary damage, such as traffic accidents, can occur. Various methods have been proposed to prevent these accidents, but there are still problems in safety and practicality. In this study, a cable robot type was selected as one of the active methods for removing accumulated snow on cables. An attempt was made to increase the climbing ability of the robot to improve the efficiency of snow removal. In addition, the available range of cable diameter for the robot can be adjusted flexibly to be applied to cables used in the field. A high-resolution camera was also installed to check the surface condition of the cable in real time to increase the utility, and be used as a cable inspection robot. A three-axis accelerometer and a tension conversion algorithm were added to measure the tension force of cables. To verify the performance, indoor and field experiments were conducted, and future improvements for the inspection robot were proposed.
In Korea, quality evaluation of dried oak mushrooms are done first by classifying them into more than 10 different categories based on the state of opening of the cap, surface pattern, and colors. And mushrooms of each category are further classified into 3 or 4 groups based on its shape and size, resulting into total 30 to 40 different grades. Quality evaluation and sorting based on the external visual features are usually done manually. Since visual features of mushroom affecting quality grades are distributed over the entire surface of the mushroom, both front (cap) and back (stem and gill) surfaces should be inspected thoroughly. In fact, it is almost impossible for human to inspect every mushroom, especially when they are fed continuously via conveyor. In this paper, considering real time on-line system implementation, image processing algorithms utilizing artificial neural network have been developed for the quality grading of a mushroom. The neural network based image processing utilized the raw gray value image of fed mushrooms captured by the camera without any complex image processing such as feature enhancement and extraction to identify the feeding state and to grade the quality of a mushroom. Developed algorithms were implemented to the prototype on-line grading and sorting system. The prototype was developed to simplify the system requirement and the overall mechanism. The system was composed of automatic devices for mushroom feeding and handling, a set of computer vision system with lighting chamber, one chip microprocessor based controller, and pneumatic actuators. The proposed grading scheme was tested using the prototype. Network training for the feeding state recognition and grading was done using static images. 200 samples (20 grade levels and 10 per each grade) were used for training. 300 samples (20 grade levels and 15 per each grade) were used to validate the trained network. By changing orientation of each sample, 600 data sets were made for the test and the trained network showed around 91 % of the grading accuracy. Though image processing itself required approximately less than 0.3 second depending on a mushroom, because of the actuating device and control response, average 0.6 to 0.7 second was required for grading and sorting of a mushroom resulting into the processing capability of 5,000/hr to 6,000/hr.
Kim, Jung-Guk;Jung, Seok-Hoon;Kwon, Chul-Ki;Ham, Kwang-Geun;Kim, Eung-Ju;Park, Hee-Nam;Kim, Young-Hoon;Heo, Woong
Journal of Biomedical Engineering Research
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v.25
no.2
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pp.119-127
/
2004
In this paper, an automatic external biphasic defibrillator that removes ventricular fibrillation efficiently with a low discharging energy has been developed. The system is composed of software including a fibrillation detection algorithm and a system control algorithm, and hardware including a high voltage charging/discharging part and a signal processing part. The stability of the developed system has been confirmed through continuous charging/discharging test of 160 times and the detection capability of the real-time fibrillation detection algorithm has been estimated by applying a total of 30 various fibrillation signals. In order to verify the clinical efficiency and safety, the system has been applied to five pigs before and after fibrillation inductions. Also, we have investigated the system efficiency in removing fibrillation by applying two different discharging waveforms, which have the same energy but different voltage levels.
Objective : This study was performed to investigate the anti-fibrogenic effect and changes of inflammation-related genes by YBR I and YBR II (YBR I: Arteisiae Capillaris Herba, Atractylodis Rhizoma Alba, Hoelen/ YBR II: YBR I +Sanguisorbae Radix, Biotae Cacumen, Cirsii Japonici Herba) on HSC(hepatic stellate cells)-T6 and TAA-induced rat liver tissue. Materials and Methods : HSC-T6 were treated with various concentrations of distilled-water extract YBR I and YBR II extract for 24, 48 and 72 hours. After the treatment, cell viability, proliferation, procollagen levels and IL-6 levels were measured by using MTT Assay, BrdU Assay, Procollagen Type 1 C-peptide EIA kit, and Murine IL-6 ELISA Development kit. Rat liver fibrosis was induced by intraperitoneal TAA injection of 150mg/kg 3 times a week for 6 weeks. After the treatment, body weight, liver & spleen weights, liver function test, complete blood cell count and change of portal pressure were studied. In addition, gene expressions of ASMA, IL-6, MMP-2, TIMP-1 and TIMP-2, all of which are known to be associated with liver fibrosis, were analyzed by using Real-Time PCR. After YBR I and YBR IItreatment, percentages of collagen in TAA-induced rat liver tissue were measured. Results : The viability and proliferation of the HSC-T6 decreased as the concentration increased. The production of procollagen decreased as the concentration increased. The production of IL-6 was little influenced by YBR I and YBR II. There was no difference in rat body weight between the TAA-only group and the YBR groups. Compared with rat liver weight of TAA-only group, that of the YBR groups increased. In the YBR I group, the serum level of AST elevated by TAA injection significantly decreased and in the YBR I and II group, the serum level of ALP and ALT elevated by TAA injection decreased. In the YBR I group, white blood cell count elevated by TAA injection decreased but platelets increased. In the YBR I group, the portal pressure elevated by TAA injection significantly decreased. Decreases in the gene expression of ASMA and MMP-2 were observed in the YBR I group. The gene expression of IL-6 was little influenced by YBR I and YBR II -treated groups. In the histological finding, TAA injections caused severe fibrosis, but YBR I and YBR II treatment significantly reduced the amounts of hepatic collagens. Conclusions : These results suggest that YBR I and II have inhibitory effects on the hepatic fibrogenesis.
Full-length cDNAs are essential for the correct annotation of genomic sequences and for the functional analysis of genes and their products. To elucidate the functions of a large population of Chinese cabbage (Brassica rapa) genes and to search efficiently for agriculturally useful genes, we have been taking advantage of the full-length cDNA Over-eXpresser (FOX) gene hunting system. With oligo dT column it purify the each mRNA from the flower organs, leaf and stem tissue. And about 120,000 cDNAs from the library were transformed into $\lambda$-pFLCIII-F vector. Of which 115,000 cDNAs from the library were transformed into T-DNA binary vector, pBigs for transformation study. We used normalized full-length cDNA and introduced each cDNA into Arabidopsis by in planta transformation. Full-length Chinese cabbage cDNAs were expressed independently under the CaMV 35S promoter in Arabidopsis. Selfed seeds were harvested from transgenic Arabidopsis. We had selected 2,500 transgenic plants by hygromycin antibiotic tolerant test, and obtained a number of transgenic mutants. Each transgenic Arabidopsis was investigated in morphological changes, fertility and leaf colour. As a result, 285 possible morphological mutants were identified. Introduced cDNA was isolated by PCR amplification of the genomic DNA from the transgenic mutants. Sequencing result and BLAST analysis showed that most of the introduced cDNA were complete cDNAs and functional genes. Also, we examined the effect of Bromelain on enhancing resistance to soft rot in transgenic Chinese cabbage 'Osome'. The bromelain gene identified from FOX hunting system was transformed into Chinese cabbage using Agrobacterium methods. Transformants were screened by PCR, then RT-PCR and real time PCR were performed to analyze gene expression of cysteine protease in the T1 and T2 generations. The anti-bacterial activity of bromelain was tested in Chinese cabbages infected with soft rot bacteria. The results showed that the over-expressed bromelain gene from pineapple conferred enhanced resistance to soft rot in Chinese cabbage.
IoT(Internet of Things) can enable networking and computing using any devices is rapidly proliferated. In the existing IoT environment, bottlenecks and service delays can occur because it processes data and provides services to users using central processing based on Cloud. For this reason, Edge Computing processes data directly in IoT nodes and networks to provide the services to the users has attracted attention. Also, numerous researchers have been attracted to intelligent service efficiently based on Edge Computing. In this paper, expert system-based context awareness scheme for Edge Computing in IoT environment is proposed. The proposed scheme can provide customized services to the users using context awareness and process data in real-time using the expert system based on efficient cooperations of resource limited IoT nodes. The context awareness services can be modified by the users according to the usage purpose. The three service modes in the security system based on smart home are used to test the proposed scheme and the stability of the proposed scheme is proven by a comparison of the resource consumptions of the servers between the proposed scheme and the PC-based expert system.
In Korea, measures to maintain sustainable fire safety performance for apartment buildings are insufficient in terms of fire-fighting products, skilled personnel, and maintenance status. Also, because of the particular features of a fire compartment, it has structural problems that are very likely to cause damage to human life when a fire occurs. Currently, problems with the fire supervisory system installed in an apartment building cannot be checked in real time, so it is difficult to identify the location of a fire accurately. Protected areas are also not assigned to each household, and residents cannot be clearly informed of the occurrence of a fire. As a consequence, safety evacuation cannot be secured. In addition, it is impossible to test the operation performance for water detectors in sprinkler fire extinguishing systems outside of the household. Therefore, an experiment was conducted to evaluate the performance of a remote fire supervisory system. The results show that the system satisfies all performance requirements. Also, an household alarm system was installed in each household to alert of any occurrence of a fire accurately, and the performance of the alarm system was improved to ensure that residents were quickly evacuated.
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