Malicious request identification is a key issue in the field of cybersecurity. Existing methods for identifying malicious requests often face limitations when dealing with unknown malicious requests. To address the pr...
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This paper proposes a human pose estimation network to enhance the detection accuracy of human body keypoints. The network initially divides the input image into four sub-regions. Subsequently, these four sub-regions ...
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Malicious request identification is a key issue in the field of cybersecurity. Existing methods for identifying malicious requests often face limitations when dealing with unknown malicious requests. To address the pr...
详细信息
ISBN:
(数字)9798331528850
ISBN:
(纸本)9798331528867
Malicious request identification is a key issue in the field of cybersecurity. Existing methods for identifying malicious requests often face limitations when dealing with unknown malicious requests. To address the problem of current malicious request identification methods being ineffective in recognizing unknown malicious requests, this paper employs N-gram for data preprocessing, uses TD-IDF and logistic regression for feature selection, and extracts key features related to malicious requests to enhance the input information of the model. A hybrid model based on BP neural networks is trained to improve the accuracy of malicious request analysis. Experimental results validate the effectiveness and practicality of this model in identifying unknown malicious requests. This research provides new ideas and methods for the identification of malicious requests, holding significant practical importance for cybersecurity protection.
This paper proposes a human pose estimation network to enhance the detection accuracy of human body keypoints. The network initially divides the input image into four sub-regions. Subsequently, these four sub-regions ...
详细信息
ISBN:
(数字)9798350374315
ISBN:
(纸本)9798350374322
This paper proposes a human pose estimation network to enhance the detection accuracy of human body keypoints. The network initially divides the input image into four sub-regions. Subsequently, these four sub-regions are fed into both the Swin Transformer network and a convolutional neural network to extract global and local features of the image. Finally, the transformer feature fusion module is utilized to merge the extracted global and local features, thereby achieving human pose estimation. Experimental results demonstrate that the proposed network effectively improves the accuracy of human pose estimation.
In order to improve the bandwidth of wireless communication systems, a small antenna based on microstrip antennas is designed to achieve ultra wideband characteristics by changing the structure of the ground plane, pa...
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ISBN:
(数字)9798350350210
ISBN:
(纸本)9798350350227
In order to improve the bandwidth of wireless communication systems, a small antenna based on microstrip antennas is designed to achieve ultra wideband characteristics by changing the structure of the ground plane, patch, and feed line. Considering the presence of narrowband signals in the ultra wideband frequency band, U-shaped slots and branches are used to effectively suppress the interference of narrowband signals in the WLAN and ITU frequency bands. Studied the band-notched characteristics of the antenna, analyzed the band-notched principle of the antenna, and simulated the directional pattern characteristics and gain characteristics. Compared to existing antennas, this antenna has a simple structure, small size, and superior performance, making it effective for short-distance wireless communication systems. The proposal of dual band-notched ultra wideband antennas effectively solves the interference problem between multi narrowband systems and ultra wideband systems, further enhancing the applicability of communication systems.
作者：
GOUBAULT, PGREENBERG, MHEIDENREICH, TWOERNER, JPhilippe Goubault:graduated in 1983 from the “Ecole Nationale Superieure de Techniques Avancees” in Paris with a major in naval architecture. After one year of military service with the French navy
he worked as naval architect and program director for the French navy between 1984 and 1988. He was in charge of the development of AGNES200 Surface Effect Ship design which completed its sea trials in 1992. He also was responsible for the construction of five ships (four hydrographic vessels and one experimental MCM vessel) which entered service between 1988 and 1991. He has been involved in a number of projects and studies for the U.S. Navy U.S. Coast Guard and other foreign and domestic customers. At Band Lavis & Associates Inc. Mr. Goubault has expanded the computer tools used to conduct parametric analysis of advanced hullforms and has developed cost-effectiveness assessment tools and methodologies for both commercial and military ships. Mr. Goubault is a member of ASNE. Marc Greenberg:is employed as a cost analyst at the cost and economic analysis branch
systems assessment and engineering division Naval Surface Warfare Center. He provides cost estimates and analyses of Navy ship and submarine technologies and has assisted in the development of parametric cost models since 1991. Employed as an electronics engineer by the U.S. Army Information Systems Command from 1989 to 1991 he provided support in simulation design and construction of high frequency and microwave communication systems. Mr. Greenberg received his BS degree in ceramic science and engineering from the Pennsylvania State University
May 1987. He is a member of MORS. Todd Heidenreich:is employed in the design analysis and tools branch
systems assessment and engineering division of the Carde-rock Division Naval Surface Warfare Center. He is involved as a project naval architect in the conceptual design of future surface ship designs future technology impact assessments and the assessment of current domestic and foreign surface ship desig
This paper describes the results of a study undertaken to determine the impact of fuel cell technology on the design and effectiveness of future naval surface combatants. The study involved the collection of data to c...
This paper describes the results of a study undertaken to determine the impact of fuel cell technology on the design and effectiveness of future naval surface combatants. The study involved the collection of data to characterize four different fuel cell technologies: proton exchange membrane, molten carbonate, phosphoric acid, and solid oxide fuel cells. This information was used to expand current computer models to develop specific fuel cell plants that met the power requirements for several applications on a nominal 5000 Lton destroyer and a nominal 2000 Lton corvette. Each of the fuel cell technologies was incorporated into several applications aboard the destroyer and the corvette. These applications included combinations of centralized and distributed ship service power, and propulsion power. In addition, the impact of fuel cell technology was determined for a ship service power backfit option aboard a DDG-51 class destroyer. The results of the impact on the ship designs were analyzed and a military effectiveness assessment was conducted to address such issues as the impact of fuel cells on mobility, survivability, affordability, and on the environment. The paper identifies which aspects of the fuel cell technologies have the greatest impact upon the ship designs and their operational costs. Recommendations are given for future technology development efforts required to make fuel cells suitable for Navy service.
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