Stability of Limiting Zeros of Sampled-data Systems with Backward Triangle Sample and Hold

Minghui Ou,Shan Liang,Cheng Zeng 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.8

The backward triangle sample and hold (BTSH) is a novel sample and hold function. This paper concentrated on the stability of zeros in the sampled-data system that arising from the case of a BTSH and a continuoustime system in cascade. The properties and stable conditions of the limiting zeros for sufficiently small or large sampling period in BTSH case are displayed. The framework of the limiting zeros is derived in the two different sampling rates. It is demonstrated that one can choose a suitable parameter value of BTSH, where the limiting zeros of the resulting sampled-data system can be located inside the stable region while the zero order hold (ZOH) fails to do. Finally, numerical examples are provided to better show proposed theories in this paper.

Learning-based client selection for multiple federated learning services with constrained monetary budgets

Cheng Zhipeng,Fan Xuwei,Chen Ning,Liwang Minghui,Huang Lianfen,Wang Xianbin 한국통신학회 2023 ICT Express Vol.9 No.6

We investigate a data quality-aware dynamic client selection problem for multiple federated learning (FL) services in a wireless network, where each client offers dynamic datasets for the simultaneous training of multiple FL services, and each FL service demander has to pay for the clients under constrained monetary budgets. The problem is formalized as a non-cooperative Markov game over the training rounds. A multi-agent hybrid deep reinforcement learning-based algorithm is proposed to optimize the joint client selection and payment actions, while avoiding action conflicts. Simulation results indicate that our proposed algorithm can significantly improve training performance.

Efficient Information Extraction Based on Signature Index

Canghong Jin,Minghui Wu,Zemin Liu,Shiwen Cheng 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.2

Information Extraction (IE) is an essential tool to retrieve structured information from at text (including web-content).Given a pattern query, an ideal IE application should be able to extract the matched target effectively and efficiently. However, as far as we know, efficiency and flexibility are major concern for typical IE tools since they either use brute-force document parsing for each query off-line or support on-line query in pre-extracted elements. In order to promote accuracy and efficiency of extraction, in this paper we propose a novel framework iExtractor that leverages In-formation Retrieval (IR) indexes to speed-up IE processes. We index text blocks with their signatures (presented as bit-strings) and propose efficient IE algorithms based on the signature index. Hence, iExtractor can validate query pattern in signature index without original text. The framework also supports on-line extraction through a general and flexible pattern extraction language. Our extensive experimental results on diverse real datasets show that our approach delivers stable efficiency and has outperforms baselines in terms of extraction accuracy.

Studies on the Hereditary Properties of SSR Marker in Silkworm (Bombyx mori L.)

Li Muwang,Li Minghui,Miao Xuexia,Lu Cheng,Huang Yongping Korean Society of Sericultural Science 2005 International Journal of Industrial Entomology Vol.11 No.1

Two BC1 group, c108 $\times$ (p50 $\times$ c108) and p50 $\times$ (p50 $\times$ c108), one group of F$_{2}$ progeny, (p50 $\times$ c108) F$_{2}$ ,and 3 SSR markers, F10539, FlO626 and FlO618 were used to test the hereditary properties of SSR markers in silkworm. FI0539, FlO626 were proved to be linkage, and FlO618 was proved to be independent to those two markers. According to Mendel's law, the recombinant value between F10539, FlO626 was calculated in all of these groups, and they were 8.55$\%$ (c108BC1), 8.02$\%$ (p50BC1) and 7.81 $\%$ (F$_{2}$) respectively. There was dominant difference among the crossing-over value using paired-samples tests by SPSS 10.0 software. This research proved that SSR markers were co-dominant in B. mori too, and F 2 progeny could be used to construct SSR linkage map although B. mori lacked of crossing over in females.

Research on Deep-Hole Drilling of High-Strength Steel Using Slender Gun Dril

Jiabin Liang,Li Jiao,Pei Yan,Minghui Cheng,Tianyang Qiu,Xibin Wang 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.23 No.8

There are a lot of problems in the processing of deep hole gun drilling of high strength steel, such as difficulty in selecting machining parameters, unknown influence mechanism of machining parameters on drilling force, drilling temperature and machining quality. In this paper, 42CrMo high strength steel is selected as the workpiece material. A numerical model of cutting force is established based on the mechanism of gun drill, and then the finite element simulation and processing test are carried out. The results show that the cutting force decreases with the increase of cutting speed, and increases with the increase of feed speed; the error between the theoretical and actual value is less than 10%. The shape and position accuracy of the entrance end is higher than that of the exit end, but the surface quality is the opposite. Cutting speed and feed speed have a great influence on machining quality, and the cutting fluid pressure mainly affects the surface roughness.

Oncogenic Pathway Combinations Predict Clinical Prognosis in Gastric Cancer

Ooi, Chia Huey,Ivanova, Tatiana,Wu, Jeanie,Lee, Minghui,Tan, Iain Beehuat,Tao, Jiong,Ward, Lindsay,Koo, Jun Hao,Gopalakrishnan, Veena,Zhu, Yansong,Cheng, Lai Ling,Lee, Julian,Rha, Sun Young,Chung, Hyu Public Library of Science 2009 PLoS genetics Vol.5 No.10

<▼1><P>Many solid cancers are known to exhibit a high degree of heterogeneity in their deregulation of different oncogenic pathways. We sought to identify major oncogenic pathways in gastric cancer (GC) with significant relationships to patient survival. Using gene expression signatures, we devised an <I>in silico</I> strategy to map patterns of oncogenic pathway activation in 301 primary gastric cancers, the second highest cause of global cancer mortality. We identified three oncogenic pathways (proliferation/stem cell, NF-κB, and Wnt/β-catenin) deregulated in the majority (>70%) of gastric cancers. We functionally validated these pathway predictions in a panel of gastric cancer cell lines. Patient stratification by oncogenic pathway combinations showed reproducible and significant survival differences in multiple cohorts, suggesting that pathway interactions may play an important role in influencing disease behavior. Individual GCs can be successfully taxonomized by oncogenic pathway activity into biologically and clinically relevant subgroups. Predicting pathway activity by expression signatures thus permits the study of multiple cancer-related pathways interacting simultaneously in primary cancers, at a scale not currently achievable by other platforms.</P></▼1><▼2><P><B>Author Summary</B></P><P>Gastric cancer is the second leading cause of global cancer mortality. With current treatments, less than a quarter of patients survive longer than five years after surgery. Individual gastric cancers are highly disparate in their cellular characteristics and responses to standard chemotherapeutic drugs, making gastric cancer a complex disease. Pathway based approaches, rather than single gene studies, may help to unravel this complexity. Here, we make use of a computational approach to identify connections between molecular pathways and cancer profiles. In a large scale study of more than 300 patients, we identified subgroups of gastric cancers distinguishable by their patterns of driving molecular pathways. We show that these identified subgroups are clinically relevant in predicting survival duration and may prove useful in guiding the choice of targeted therapies designed to interfere with these molecular pathways. We also identified specific gastric cancer cell lines mirroring these pathway subgroups, which should facilitate the pre-clinical assessment of responses to targeted therapies in each subgroup.</P></▼2>