作者：
SMITH, CRFOSTER, REUSNCapt. Charles R. Smith
Jr. USN:graduated from the U.S. Naval Academy in 1949. He completed his flight training in 1951 and first served in Composite Squadron 33 on board Atlantic and Pacific Fleet aircraft carriers until 1954. He then attended the U.S. Navy Postgraduate School in Aeronautical Engineering and was awarded his Masters degree in SM Aero-Weapons Systems by Massachusetts Institute of Technology in 1957 at which time he was ordered to Heavy Attack Squadron ONE embarked in Atlantic ‘Fleet aircraft carriers. He graduated from the Naval War College Command and Staff Course in 1961 and subsequently sensed on the Staff U.S. Naval Safety Center arid was Operations Officer. Executive Officer and Commanding Officer of Heavy Attack Squadron SIX and Reconnaissance Attack Squadron THREE. From 1968 until 1970 he was Executive Officer of the USS John F. Kennedy (CVA-67) when the ship was commissioned and first deployed followed by duty in the Office of the Chief of Naval Operations (OPNA V) where he served under the Director of Fleet Operations until 1971. Capt. Smith commanded the Fast Combat Support Ship USS Detroit (AOE-4) during her first deployment was Commanding Officer. USS Independence (CV-62): and later returned to OPNAV where he was the Deputy Director of the Aircraft Carrier Programs
an assignment which he held until August 1976 when he assumed his present duties as Chief Navy Section MAAG. Greece. Capt. Richard E. Foster
USN (Ret.):has been affiliated with Wheeler Industries. Inc. us Program Manager since 1968 when he retired from the U.S. Navy. He graduated from the U.S. Naval Academy with the Class of 1941 and later attended the U.S. Navy Postgraduate School in Engineering Design. He served at sea as Electrical Officer in the USS Pennsylvania and as Engineer Officer in the USS Indiana and the aircraft carrier USS Wright. His three tours of duty in the Bureau of Ships included the Interior Communication and Fire Control Branch the Machinery Design Division and as Administrative Assistant
The rapid advance of multimedia devices, including sensors, cameras and mobile phones, has given rise to the prevalence of Internet of Multimedia Things (IoMT), generating huge volumes of application-oriented multimed...
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The rapid advance of multimedia devices, including sensors, cameras and mobile phones, has given rise to the prevalence of Internet of Multimedia Things (IoMT), generating huge volumes of application-oriented multimedia data. At the same time, network security issues in the multimedia big data environment also increases. Network intrusion detection (NID) system demonstrates its power in preventing cyber-attacks against multimedia platforms. However, the existing NID methods which are based on machine learning or deep learning classifiers may fail when there is a lack of abnormal traffic samples for training in the real-world scenario. We propose a novel approach for intrusion detection based on deep AutoEncoder and Differential comparison named AED, which only requires the normal traffic samples in the training phase. We conduct extensive experiments on two real-world datasets to evaluate the effectiveness of the proposed AED. The experimental results show that AED can outperform the baseline methods of three categories in terms of accuracy, precision, recall and F1-score.
This volume constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2019, and 5th International Conference on...
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ISBN:
(数字)9783030378387
ISBN:
(纸本)9783030378370
This volume constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2019, and 5th International Conference on Fuzzy and Neural Computing, FANCCO 2019, held in Maribor, Slovenia, in July 2019.;The 18 full papers presented in this volume were carefully reviewed and selected from a total of 31 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.
The objectives of this study were to investigate the measurement methodology of the protein content in skimmed milk by laser light scattering(LLS). There was a definition that the ratio of the scatter
The objectives of this study were to investigate the measurement methodology of the protein content in skimmed milk by laser light scattering(LLS). There was a definition that the ratio of the scatter
Considerable improvements in highway capacity and highway safety can be achieved by vehicle automation. Many approaches to automation are possible, with any given approach depending on one’s premises concerning the f...
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