http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : ( Chuanren Liu ) (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Efficient Compression Algorithm with Limited Resource for Continuous Surveillance
( Ling Yin ),( Chuanren Liu ),( Xinjiang Lu ),( Jiafeng Chen ),( Caixing Liu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.11
Energy efficiency of resource-constrained wireless sensor networks is critical in applications such as real-time monitoring/surveillance. To improve the energy efficiency and reduce the energy consumption, the time series data can be compressed before transmission. However, most of the compression algorithms for time series data were developed only for single variate scenarios, while in practice there are often multiple sensor nodes in one application and the collected data is actually multivariate time series. In this paper, we propose to compress the time series data by the Lasso (least absolute shrinkage and selection operator) approximation. We show that, our approach can be naturally extended for compressing the multivariate time series data. Our extension is novel since it constructs an optimal projection of the original multivariates where the best energy efficiency can be realized. The two algorithms are named by ULasso (Univariate Lasso) and MLasso (Multivariate Lasso), for which we also provide practical guidance for parameter selection. Finally, empirically evaluation is implemented with several publicly available real-world data sets from different application domains. We quantify the algorithm performance by measuring the approximation error, compression ratio, and computation complexity. The results show that ULasso and MLasso are superior to or at least equivalent to compression performance of LTC and PLAMlis. Particularly, MLasso can significantly reduce the smooth multivariate time series data, without breaking the major trends and important changes of the sensor network system.
-
Two-way predation between larvae of Spodoptera frugiperda and Spodoptera litura
Wang Yuxue,Mbiza Natasha Isabel Tanatsiwa,Yu Yonghao,Zhang Haoran,Hu Zongwei,Liu Ting,Wang Yi,Zhang Yi,Luo Xincheng,Chu Longyan,Yang Yazhen,Wang Xiangping,Li Chuanren,He Hua,Zhang Jianmin 한국응용곤충학회 2024 Journal of Asia-Pacific Entomology Vol.27 No.2
Spodoptera frugiperda has co-occurred with Spodoptera litura in corn fields since it invaded China on December 2018. In our process of rearing S. frugiperda and S. litura larvae in the lab, we discovered that when the larvae of S. litura and S. frugiperda were on the same host plant, two-way predation between them occurred. However, a detailed study on this phenomenon has not been previously reported. Therefore, the study on the two-way predation between larvae of S. frugiperda and S. litura was performed under mimicking natural conditions including the presence or absence of maize leaves. The results showed that 4th instar larvae of S. frugiperda could prey actively on the 3rd instar larvae of S. litura under natural conditions in the greenhouse, and there was twoway predation between S. frugiperda and S. litura larvae in either the presence or absence of maize leaves in the lab. In addition, the difference in the daily predation number of old S. frugiperda larvae (including 4th,5th and 6th instar) on S. litura 1st, 2nd and 3rd instar larvae respectively was significant between presence and absence of maize leaves. Similarly, the difference in the daily predation number of S. litura old larvae (including 4th, 5th and 6th instar) on S. frugiperda young 1st, 2nd and 3rd instar larvae respectively was very significant between presence and absence of maize leaves. These results confirm that two-way predation exists between larvae of S. frugiperda and S. litura, and S.frugiperda larvae are in a dominant position in this struggle, which provides an understanding of S. frugiperda feeding when coexisting with S. litura.
ScienceON
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
