著者
Wei-Ting CHEN Chien-Ming WU Wei-Ming TSAI Peng-Jen CHEN Po-Yen CHEN
出版者
Meteorological Society of Japan
雑誌
気象集誌. 第2輯 (ISSN:00261165)
巻号頁・発行日
vol.97, no.6, pp.1155-1171, 2019 (Released:2019-11-29)
参考文献数
61
被引用文献数
3

In this study, the climatological characteristics of object-based precipitation systems (OPSs) and moisture development are analyzed over the South China Sea (SCS) during the sharp transition of the summer monsoon onset. The satellite-observed statistics of the OPSs showed that over the 20-day pre-onset period, OPSs of small (< 100 km) to medium size (100-300 km) are active over the lands surrounding the SCS. The pre-onset composite mean shows a basin-scale (∼ 1000 km) local circulation with anomalous subsidence over the ocean, and ocean convection is mostly suppressed. Over the 20-day post-onset period, large (> 300 km) OPSs develop over the coastal ocean and contribute to over 60 % of the total precipitation. The number of large OPSs observed significantly increases along with the sharp moisture buildup within 10 days after the onset. The moisture budget suggests that the local contribution from convective vertical mixing is the major moisture source during the first pentad after the onset. The relationship between moisture buildup and convection organization is then examined using a set of idealized cloud-resolving model (CRM) experiments, with a land–ocean configuration approximating the SCS basin. The CRM appropriately represents the observed development of coastal convection. In the no-shear environment, a strong basin-scale circulation is formed, which suppresses the ocean moisture development. When large-scale vertical wind shear is imposed to represent the changes of large-scale circulation during the onset pentad, organized convection systems are increased over the coastal ocean and propagate toward the open ocean, accompanied by fast ocean moistening within 5-10 days.
著者
Xi ZHANG Yanan ZHANG Tao GAO Yong FANG Ting CHEN
出版者
The Institute of Electronics, Information and Communication Engineers
雑誌
IEICE TRANSACTIONS on Information and Systems (ISSN:09168532)
巻号頁・発行日
vol.E106-D, no.5, pp.625-634, 2023-05-01
被引用文献数
1

The original single-shot multibox detector (SSD) algorithm has good detection accuracy and speed for regular object recognition. However, the SSD is not suitable for detecting small objects for two reasons: 1) the relationships among different feature layers with various scales are not considered, 2) the predicted results are solely determined by several independent feature layers. To enhance its detection capability for small objects, this study proposes an improved SSD-based algorithm called proportional channels' fusion SSD (PCF-SSD). Three enhancements are provided by this novel PCF-SSD algorithm. First, a fusion feature pyramid model is proposed by concatenating channels of certain key feature layers in a given proportion for object detection. Second, the default box sizes are adjusted properly for small object detection. Third, an improved loss function is suggested to train the above-proposed fusion model, which can further improve object detection performance. A series of experiments are conducted on the public database Pascal VOC to validate the PCF-SSD. On comparing with the original SSD algorithm, our algorithm improves the mean average precision and detection accuracy for small objects by 3.3% and 3.9%, respectively, with a detection speed of 40FPS. Furthermore, the proposed PCF-SSD can achieve a better balance of detection accuracy and efficiency than the original SSD algorithm, as demonstrated by a series of experimental results.
著者
Yu-Hang Cao Ting-Ting Chen Xiong Peng Rong-Rong Wu Xiang Li Gao-Feng Liu Li-Xia Shen Xiao-Jun Chen Zi Yang Zhao-Ying Liu Zhi-Liang Sun Yong Wu
出版者
Japan Poultry Science Association
雑誌
The Journal of Poultry Science (ISSN:13467395)
巻号頁・発行日
vol.60, no.2, pp.2023023, 2023 (Released:2023-09-09)
参考文献数
42

The plant species Gelsemium elegans Benth. (GEB) promotes pig and sheep growth; however, little is known about its effects in chickens. In this study, a GEB extract (GEBE) was prepared, and its effects on the growth, slaughter, antioxidant performance, meat quality, serum biochemical indices, intestinal morphology, and microflora of yellow-feathered chickens were evaluated. In total, 600 chickens aged 15 days were randomly divided into four groups with five replicates each and fed a basal diet containing 0% (control), 0.25% (0.25 GEBE), 0.75% (0.75 GEBE), or 1.25% (1.25 GEBE) GEBE until 49 days of age. Chickens were then killed, and their meat, organs, and serum and cecal contents were collected. GEBE reduced the feed conversion ratio, particularly in the 0.75 and 1.25 GEBE groups. Furthermore, the GEBE diet improved meat tenderness and reduced the meat expressible moisture content and liver malondialdehyde content, indicating high meat quality. Whereas the 0.25 GEBE diet increased the level of Lactobacillus acidophilus in the cecum, the 0.75 GEBE diet decreased the Escherichia coli level therein. These findings demonstrate that GEBE may improve the meat quality and cecal microbiota of yellow-feathered chickens, providing a basis for identifying candidate alternatives to conventional antibiotics as growth promoting feed additives.
著者
Nan Dun Sugianto Angkasa Kenjiro Taura Ting Chen
雑誌
研究報告ハイパフォーマンスコンピューティング(HPC)
巻号頁・発行日
vol.2011, no.39, pp.1-7, 2011-07-20

Cynk is a hybrid file system using rsync and SSH for data-intensive cloud computing. By automatically synchronizing the local file system with a cloud storage, Cynk enables users to transparently access local/remote data when they are online and continue working when disconnected from network. The hybrid architecture of Cynk means that it can allow users to simutaneously access locally synchronized/cached data or online remote data over the network via a uniform file system interface. Cynk uses the rsync tool with a partially reasoning based protocol to synchronize files from local to remote file systems and vice versa. It only requires the installation of client on local side. By seamlessly bridging the local file system and cloud storage, Cynk especially simplifies the work cycle of developing, testing, and deploying data-intensive applications.Cynk is a hybrid file system using rsync and SSH for data-intensive cloud computing. By automatically synchronizing the local file system with a cloud storage, Cynk enables users to transparently access local/remote data when they are online and continue working when disconnected from network. The hybrid architecture of Cynk means that it can allow users to simutaneously access locally synchronized/cached data or online remote data over the network via a uniform file system interface. Cynk uses the rsync tool with a partially reasoning based protocol to synchronize files from local to remote file systems and vice versa. It only requires the installation of client on local side. By seamlessly bridging the local file system and cloud storage, Cynk especially simplifies the work cycle of developing, testing, and deploying data-intensive applications.