7篇
您的检索式：作者名="Michael Workman"
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| 1 | Specificity of induced resistance in the tomato, Lycopersicon esculentum显示文摘 | Michael J. Stout Kathi V. Workman Richard M. Bostock Sean S. Duffey | 1997 | Oecologia1997，，1： | 1 |
| 2 | Stimulation and attenuation of induced resistance by elicitors and inhibitors of chemical induction in tomato (Lycopersicon esculentum) foliage显示文摘 | Michael J. Stout Kathi V. Workman Richard M. Bostock Sean S. Duffey | 1998 | Entomologia Experimentalis et Applicata1998，，3： | 1 |
| 3 | Function and Selectivity of Bromodomains in Anchoring Chromatin-Modifying Complexes to Promoter Nucleosomes显示文摘 | Ahmed H. Hassan Philippe Prochasson Kristen E. Neely Scott C. Galasinski Mark Chandy Michael J. Carrozza Jerry L. Workman | 2002 | Cell2002，，： | 1 |
| 4 | The Role of Chromatin during Transcription显示文摘 | Bing Li Michael Carey Jerry L. Workman | 2007 | Cell2007，，： | 1 |
| 5 | Virtual Team Culture and the Amplification of Team Boundary Permeability on Performance 显示文摘 | WORKMAN MICHAEL | 2005 | Human Resources Development Quarterly2005，，4： | 1 |
| 6 | Expert Decision Support System Use, Disuse, and Misuse: A Study Using the Theory of Planned Behavior 显示文摘 | Michael Workman | 2005 | Computers in Human Behavior2005，，21： | 1 |
| 7 | Effective Algorithms to Detect Stepping-Stone Intrusion by Removing Outliers of Packet RTTs显示文摘An effective method to detect stepping-stone intrusion(SSI)is to estimate the length of a connection chain.This type of detection method is referred to as a network-based detection approach.Existing network-based SSI detection methods are either ineffective in the context of the Internet because of the presence of outliers in the packet round-trip times(RTTs)or inefficient,as many packets must be captured and processed.Because of the high fluctuation caused by the intermediate routers on the Internet,it is unavoidable that the RTTs of the captured packets contain outlier values.In this paper,we first propose an efficient algorithm to eliminate most of the possible RTT outliers of the packets captured in the Internet environment.We then develop an efficient SSI detection algorithm by mining network traffic using an improved version of k-Means clustering.Our proposed detection algorithm for SSI is accurate,effective,and efficient in the context of the Internet.Well-designed network experiments are conducted in the Internet environment to verify the effectiveness,correctness,and efficiency of our proposed algorithms.Our experiments show that the effective rate of our proposed SSI detection algorithm is higher than 85.7%in the context of the Internet. | Lixin Wang Jianhua Yang Michael Workman Pengjun Wan | 2022 | Tsinghua Science and Technology2022，27，2： | 0 |
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