|
|
|
|
|
Yunfei Yu, Linghua Meng, Chong Luo, Beisong Qi, Xinle Zhang and Huanjun Liu
In Northeast China, transplanted rice cultivation has been adopted to extend the rice growing season and boost yields, responding to the limitations of the cumulative temperature zone and high food demand. However, direct-seeded rice offers advantages in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tongjing Sun, Yabin Wen, Xuegang Zhang, Bing Jia and Mengwei Zhou
Ocean reverberations, a significant interference source in active sonar, arise as a response generated by random scattering at the receiving end, a consequence of randomly distributed clutter or irregular interfaces. Statistical analysis of reverberation...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dongwoo Lee and Joohyun Woo
With active research being conducted on maritime autonomous surface ships, it is becoming increasingly necessary to ensure the safety of unmanned surface vehicles (USVs). In this context, a key task is to correct their paths to avoid obstacles. This pape...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qiang Zhu, Zhong Wang, Yunfeng Dou and Jian Zhou
A conversion method based on the inversion of Mel frequency cepstral coefficient (MFCC) features was proposed to convert whispered speech into normal speech. First, the MFCC features of whispered speech and normal speech were extracted and a matching rel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Langfu Cui, Chaoqi Zhang, Qingzhen Zhang, Junle Wang, Yixuan Wang, Yan Shi, Cong Lin and Yang Jin
There are some problems such as uncertain thresholds, high dimension of monitoring parameters and unclear parameter relationships in the anomaly detection of aero-engine gas path. These problems make it difficult for the high accuracy of anomaly detectio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weili Zeng, Zhengfeng Xu, Zhipeng Cai, Xiao Chu and Xiaobo Lu
The aircraft trajectory clustering analysis in the terminal airspace is conducive to determining the representative route structure of the arrival and departure trajectory and extracting their typical patterns, which is important for air traffic manageme...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leonid Safonov
Pág. 109 - 112
Unsupervised anomaly detection in high-dimensional data is an important subject of research in theoretical machine learning and applied areas. One of important applications is anomaly detection in network traffic data, which can be useful for preventing ...
ver más
|
|
|
|
|
|
|
|
|
|
|
FengLei Yang, Fei Liu and ShanShan Liu
Collaborative filtering (CF) is a widely used method in recommendation systems. Linear models are still the mainstream of collaborative filtering research methods, but non-linear probabilistic models are beyond the limit of linear model capacity. For exa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chin-Shiuh Shieh, Wan-Wei Lin, Thanh-Tuan Nguyen, Chi-Hong Chen, Mong-Fong Horng and Denis Miu
DDoS (Distributed Denial of Service) attacks have become a pressing threat to the security and integrity of computer networks and information systems, which are indispensable infrastructures of modern times. The detection of DDoS attacks is a challenging...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mengjie Han, Zhenwu Wang and Xingxing Zhang
In recent years, a building?s energy performance is becoming uncertain because of factors such as climate change, the Covid-19 pandemic, stochastic occupant behavior and inefficient building control systems. Sufficient measurement data is essential to pr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhi Cai, Meilin Ji, Qing Mi, Bowen Yang, Xing Su, Limin Guo and Zhiming Ding
The urban rail transit stations are an important part of an urban transit system. Scientific and reasonable location of rail transit station can greatly alleviate traffic pressure. The number of people in the surrounding area of a rail transit station is...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chaoxing Sun, Guohe Huang and Yurui Fan
Extreme precipitation can seriously affect the ecological environment, agriculture, human safety, and property resilience. A full-scale and scientific assessment in extreme precipitation characteristics is necessary for water resources management and pro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rudolf Frühwirth
This note describes the application of Gaussian mixture regression to track fitting with a Gaussian mixture model of the position errors. The mixture model is assumed to have two components with identical component means. Under the premise that the assoc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Caitlin J. Tran, Omar E. Mora, Jessica V. Fayne and M. Gabriela Lenzano
Landslides are natural disasters that cause extensive environmental, infrastructure and socioeconomic damage worldwide. Since they are difficult to identify, it is imperative to evaluate innovative approaches to detect early-warning signs and assess thei...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xin Wu, Yi Zheng, Juan Zhang, Bin Wu, Sai Wang, Yong Tian, Jinguo Li and Xue Meng
Groundwater chemistry data are normally scarce in remote inland areas. Effective statistical approaches are highly desired to extract important information about hydrochemical processes from the limited data. This study applied a clustering approach base...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xin Wu, Yi Zheng, Juan Zhang, Bin Wu, Sai Wang, Yong Tian, Jinguo Li, Xue Meng
Pág. 1 - 20
Groundwater chemistry data are normally scarce in remote inland areas. Effective statistical approaches are highly desired to extract important information about hydrochemical processes from the limited data. This study applied a clustering approach base...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pavitra Patel,A. A. Chaudhari,M. A. Pund,D. H. Deshmukh
Pág. 56 - 64
Speech emotion recognition is an important issue which affects the human machine interaction. Automatic recognition of human emotion in speech aims at recognizing the underlying emotional state of a speaker from the speech signal. Gaussian mixture models...
ver más
|
|
|
|
|
|
|
|
|
|
|
Akira Yoshida, Yoshiharu Amano, Noboru Murata, Koichi Ito and Takumi Hasizume
When evaluating residential energy systems like co-generation systems, hot water and electricity demand profiles are critical. In this paper, the authors aim to extract basic time-series demand patterns from two kinds of measured demand (electricity and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luca Scrucca
Gaussian mixture modeling is a generative probabilistic model that assumes that the observed data are generated from a mixture of multiple Gaussian distributions. This mixture model provides a flexible approach to model complex distributions that may not...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yunseong Lee, Chanhong Park, Taeyoung Kim, Yeongyoon Choi, Kiseon Kim, Dongho Kim, Myung-Sik Lee and Dongkeun Lee
Source enumeration is an important procedure for radio direction-of-arrival finding in the multiple signal classification (MUSIC) algorithm. The most widely used source enumeration approaches are based on the eigenvalues themselves of the covariance matr...
ver más
|
|
|
|
|
|