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RISS 인기검색어
- 검색키워드
- 저자 : ( C. H. Tsou ) (검색결과 3 건)
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Monitoring the Comfort of Poultry Body by Infrared Thermography
( C. H. Tsou ),( T. T. Lin ),( C. C. Liu ),( K. W. Hsieh ),( Y. C. Tsai ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
At present, the environmental regulation of Taiwanese traditional poultry farm is based on the information collected by the ambient temperature and humidity sensor. However, this method is unable to know the situation of the poultry directly. The purpose of this study is to collect poultry body surface temperature information directly by the infrared thermal imager. The relationship between poultry body surface temperature and temperature-humidity index (THI) is studied for estimating the actual feeling of poultry at different conditions. The Raspberry Pi, infrared thermal imaging sensor, environmental sensors were integrated for collecting the poultry body temperature and environmental information. The collected poultry infrared thermal images were divided into head, foot and wing different areas for the analysis. The environment temperature, humidity, air velocity and poultry surface temperature were continuous recorded for four weeks. The measured chicken’s surface temperature from infrared image sensor changes with the THI. The temperature change of the chicken’s foot is larger than the temperature of chicken’s head, and wing. The correlation between poultry surface temperature and THI, and temperature-humidity-velocity index (THVI) were calculated. According to the results, the correlation between poultry surface temperature and THI is higher than the correlation between poultry surface temperature and THVI. It shows that THI impacts on the poultry surface temperature. The poultry surface temperature can be detected by the infrared camera for poultry house environment control.
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Huang, S.Y.,Song, H.L.,Lin, E.-C.,Lee, W.C.,Chiang, J.C.,Tsou, H.L. Asian Australasian Association of Animal Productio 2006 Animal Bioscience Vol.19 No.6
The quality characteristics of semen are important indicators of the fertility of a boar. Development of genetic markers for the semen quality in boars will be beneficial to the improvement of porcine fertility. We investigated the relationship between the polymorphisms of epidermal growth factor (EGF), prostaglandin-endoperoxide synthase 2 (PTGS2) and prolactin receptor (PRLR) genes, and semen quality traits in boars. The genomic DNA of 233 boars (157 Duroc and 86 Landrace) from a central testing station was subjected to genotyping for surveying gene frequency. The EGF, PTGS2 and PRLR genotypes were determined using the restriction fragment length polymorphism method. Thirty-seven normal, mature Duroc boars from an AI center were also genotyped and their semen quality traits were collected. The effect of genotype on semen quality traits was analyzed by the least-squares means method using data corrected for season. The frequencies of the AA genotype of EGF, PTGS2 and PRLR in Duroc boars were 0.14, 0.01 and 0.66, respectively. In Landrace, the frequencies of the AA genotype were 0.03, 0.09 and 0.62, respectively. Boars with the BB genotype in EGF, with the AB genotype in PTGS2 and with the AA genotype in PRLR had significantly better semen quality with a higher percentage of normal sperm and a lower percentage of immature sperm than those with other genotypes. These findings imply that polymorphisms of EGF, PTGS2 and PRLR genes might be used as markers for improving the semen quality of boars.
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Wireless distributed computing: a survey of research challenges
Datla, Dinesh,Chen, X.,Tsou, T.,Raghunandan, S.,Hasan, S. M. S.,Reed, J. H.,Dietrich, C. B.,Bose, T.,Fette, B.,Kim, J. IEEE 2012 IEEE communications magazine Vol.50 No.1
<P>Recent advancements in radio technology provide great flexibility and enhanced capabilities in executing wireless services. One of these capabilities that can provide significant advantages over traditional approaches is the concept of collaborative computing in wireless networks. With collaborative radio nodes, multiple independent radio nodes operate together to form a wireless distributed computing (WDC) network with significantly increased performance, operating efficiency, and abilities over a single node. WDC exploits wireless connectivity to share processing- intensive tasks among multiple devices. The goals are to reduce per-node and network resource requirements, and enable complex applications not otherwise possible, e.g., image processing in a network of small form factor radio nodes. As discussed in this article, WDC research aims to quantify the benefits of distributed processing over local processing, extend traditional distributed computing (DC) approaches to allow operation in dynamic radio environments, and meet design and implementation challenges unique to WDC with the help of recently available enabling technologies, such as software radios and cognitive radios.</P>
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