When I describe myself as an administrator, people immediately ask: But what do you do? Administration, it seems, is all things to all men. A common mistake I find is that people confuse administration with management...
When I describe myself as an administrator, people immediately ask: But what do you do? Administration, it seems, is all things to all men. A common mistake I find is that people confuse administration with management. University management is most commonly understood to be the policy‐making structure of bodies like Senate and Council, whereas the administration is the organisation which puts this policy into practice. The job content varies of course from department to department, and it certainly varies in different universities. I have heard people in my job described as clairvoyants, paragons, prophets, jacks‐of‐all‐trades, and it is even said that we can walk on water. Alas, I must admit I cannot claim to be representative of any of those people. “Measure me not by the heights to which I have climbed, but by the depths from which I have risen”.
作者：
MARCY, HTThe Honorable H. Tyler (“Ty”) Marcy:was born in 1918 in Rochester
New York but moved to Baltimore Maryland at an early age where he attended public schools. He is a graduate of the Massachusetts Institute of Technology from which he received both his BS and MS degrees in Electrical Engineering. Subsequent to receiving the latter degree in 1941 he designed and developed gun control systems in the MIT Servomechanism Laboratory until 1946 when he became Associate Director Special Projects Department M. W. Kellogg Company and worked on rocket engine development missile controls and analog air defense systems. In 1951
Mr. Marcy left Kellogg Company to join the IBM Corporation where he remained until 1972 and was employed in various engineering and managerial positions. At IBM his first assignment concerned the bomb/navigational system for the B-52 aircraft. He then moved into commercial development of data processing machines and peripheral devices subsequently being placed in a series of technical management positions which included Assistant Manager of Product Development Corporate Headquarters New York (1956) Manager
Poughkeepsie N.Y. Laboratory (1957) Vice-President
General Products Division (1962) Vice-President
Systems Development Division (1965) and Director of Technology
Corporate Headquarters Armonk N. Y. (1968). His last position was held until 1972 when he left IBM to do private consulting work in engineering management technology and program review. In October 1974 he was appointed by the President to his present office as Assistant Secretary of the Navy for Research and Development. Mr. Marcy has been a member of the Instrument Society of America since 1963
serving as its President from 1971 until 1974. In 1967 he became a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) for his leadership in feedback control and for his significant contribution to the management of technical enterprise. In addition to these professional organizations he is also a member of the
The problem of selection of outside services to supplement the efforts of local personnel involves considerations of journal and patent coverage, promptness, quality of indexing, adequacy of abstracting, pertinence of...
The 2nd International Workshop on Statistical Methods in Video processing, SMVP 2004, was held in Prague, Czech Republic, as an associated workshop of ECCV 2004, the 8th European Conference on Computer Vision. A total...
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ISBN:
(数字)9783540302124
ISBN:
(纸本)9783540239895
The 2nd International Workshop on Statistical Methods in Video processing, SMVP 2004, was held in Prague, Czech Republic, as an associated workshop of ECCV 2004, the 8th European Conference on Computer Vision. A total of 30 papers were submitted to the workshop. Of these, 17 papers were accepted for presentation and included in these proceedings, following a double-blind review process. The workshop had 42 registered participants. The focus of the meeting was on recent progress in the application of - vanced statistical methods to solve computer vision tasks. The one-day scienti?c program covered areas of high interest in vision research, such as dense rec- struction of 3D scenes, multibody motion segmentation, 3D shape inference, errors-in-variables estimation, probabilistic tracking, information fusion, optical ?owcomputation,learningfornonstationaryvideodata,noveltydetectionin- namic backgrounds, background modeling, grouping using feature uncertainty, and crowd segmentation from video. We wish to thank the authors of all submitted papers for their interest in the *** external reviewers for their commitment of time and e?ort in providing valuable recommendations for each submission. We are thankful to Vaclav Hlavac, the General Chair of ECCV 2004, and to Radim Sara, for the local organization of the workshop and registration management. We hope you will ?nd these proceedings both inspiring and of high scienti?c quality.
作者：
NACHTSHEIM, JOHN J.BALLOU, L. DENNISJohn J. Nachtsheim:is currently the Deputy Assistant Administrator for Research & Development for the Maritime Administration. His duties are the planning
coordinating organizing evaluating and directing of the R&D activities of MarAd. His past experiences include: Naval Architect for the Naval Ship Engineering Center 1959 Deputy Chief Design Engineer for the Puget Sound Naval Shipyard
1958 to 1959 and Naval Architect
the former Bureau of Ships 1948 to 1958. His education is comprised of a B.S. degree from the Webb Institute of Naval Architecture an L.L.B. degree from the George Washington University Law School completion of the Advanced Management Program at Harvard University and current study of Transportation at the American University. He is a Registered Professional Engineer in the District of Columbia and a Member of the Bar in the District of Columbia and the State of Maryland. In addition to ASNE his other professional memberships include the Society of Naval Architects and Marine Engineers the Society of Aeronautical Weight Engineers and the Association of Senior Engineers of the Naval Ships Systems Command (Honorary). USNCommander L. Dennis Ballou:
USN is the Head of the Engineering Service Office Naval Ship Engineering Center. He is involved in computer hardware and software services to support engineering design automatic data processing systems design work study and quality assurance. Prior to NavSec duty Commander Ballou served in various billets afloat and ashore: tours on the USS Skagit and Tang supervision of the USS Skipjack's first overhulconstruction of the USS Nathanael Greene and helping to establish the Polaris overhaul program. He is a graduate of the U.S. Naval Academy
Officers' Submarine School and the Webb Institute of Naval Architecture. He holds BS and MS degrees in marine engineering and naval architecture respectively. He has also completed many graduate
作者：
ORMSBY, JOSEPH F. A.THE AUTHOR Graduated from Rensselaer Polytechnic Institute in 1950. From then until the Spring of 1955
he worked at R.P.I. in the various capacities of instructor in the Department of Electrical Engineering assistant project engineer on a Signal Corps project and research associate in the Computer (analogue) Laboratory Department. During this period he also received his M.E.E. and M.S. (math) degrees from R.P.I. He entered the United States Naval Officers Candidate School in May 1955 and received his commission as an Ensign in the Naval Reserve in September 1955. Upon assignment to Boston Naval Shipyard he worked as a ship superintendent. Later he was assigned to the Production Analysis Officer as an assistant on electronic data processing. His interest in this area is reflected in the present article.
Finding knowledge – or meaning – in data is the goal of every knowledge d- covery e?ort. Subsequent goals and questions regarding this knowledge di?er amongknowledgediscovery(KD) projectsandapproaches. Onecentralque...
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ISBN:
(数字)9783540476986
ISBN:
(纸本)9783540476979
Finding knowledge – or meaning – in data is the goal of every knowledge d- covery e?ort. Subsequent goals and questions regarding this knowledge di?er amongknowledgediscovery(KD) projectsandapproaches. Onecentralquestion is whether and to what extent the meaning extracted from the data is expressed in a formal way that allows not only humans but also machines to understand and re-use it, i. e. , whether the semantics are formal semantics. Conversely, the input to KD processes di?ers between KD projects and approaches. One central questioniswhetherthebackgroundknowledge,businessunderstanding,etc. that the analyst employs to improve the results of KD is a set of natural-language statements, a theory in a formal language, or somewhere in between. Also, the data that are being mined can be more or less structured and/or accompanied by formal semantics. These questions must be asked in every KD e?ort. Nowhere may they be more pertinent, however, than in KD from Web data (“Web mining”). Thisis due especially to the vast amounts and heterogeneity of data and ba- ground knowledge available for Web mining (content, link structure, and - age), and to the re-use of background knowledge and KD results over the Web as a global knowledge repository and activity space. In addition, the (Sem- tic) Web can serve as a publishing space for the results of knowledge discovery from other resources, especially if the whole process is underpinned by common ontologies.
The rapid development of computer vision technology for detecting anomalies in industrial products has received unprecedented attention. In this paper, we propose a dual teacher–student-based discrimination model (DT...
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The rapid development of computer vision technology for detecting anomalies in industrial products has received unprecedented attention. In this paper, we propose a dual teacher–student-based discrimination model (DTSD) for anomaly detection, which combines the advantages of both embedding-based and reconstruction-based methods. First, the DTSD builds a dual teacher-student architecture consisting of a pretrained teacher encoder with frozen parameters, a student encoder and a student decoder. By distillation of knowledge from the teacher encoder, the two teacher-student modules acquire the ability to capture both local and global anomaly patterns. Second, to address the issue of poor reconstruction quality faced by previous reconstruction-based approaches in some challenging cases, the model employs a feature bank that stores encoded features of normal samples. By incorporating template features from the feature bank, the student decoder receives explicit guidance to enhance the quality of reconstruction. Finally, a segmentation network is utilized to adaptively integrate multiscale anomaly information from the two teacher–student modules, thereby improving segmentation accuracy. Extensive experiments demonstrate that our method outperforms existing state-of-the-art approaches. The code of DTSD is publicly available on https://***/Math-Computer/DTSD.
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