The development of real-time quality estimator schemes for emerging Internet videos with different content types remains a significant challenge and is crucial for the success of wireless multimedia systems. However, ...
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ISBN:
(纸本)9781467349420
The development of real-time quality estimator schemes for emerging Internet videos with different content types remains a significant challenge and is crucial for the success of wireless multimedia systems. However, currently in-service assessment schemes fail in capturing subjective aspects of multimedia content related to the user perception. Therefore, this paper proposes an on-the-fly parametric video quality estimator approach (called MultiQoE) for real-time video streaming applications. Experiments in a Wireless Mesh Network (WMN) scenario were carried out to show the accuracy, benefit, and impact of MultiQoE compared to widely used Quality of Experience (QoE) subjective, objective and parametric methods.
This work aims at investigating the influence of luminance information and environment illumination on skin classification. We explore Bayesian approaches to perform automatic classification of human skin pixels on di...
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This work aims at investigating the influence of luminance information and environment illumination on skin classification. We explore Bayesian approaches to perform automatic classification of human skin pixels on digital images, using color features as input. Two probabilistic skin color models were built on different color spaces (RGB, normalized RG, HSI, HS, YCbCr and CbCr) and tested in a task of automatic pixel classification into skin and non-skin. Analyses of classification performance were done by presenting an illumination controlled image database containing images acquired in four different illumination conditions (shadow, sun, incandescent and fluorescent lights) to these classifiers. Our experiments show that building probabilistic skin color models using the CbCr color space generally improves performance of the classifiers and that best performance is achieved in shadow illumination.
This paper is written with the didactic purpose of exploring and indicating possibilities to power companies in the Balkan region for the application of adaptive neuro-fuzzy inference system (ANFIS) models in load pre...
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This paper is written with the didactic purpose of exploring and indicating possibilities to power companies in the Balkan region for the application of adaptive neuro-fuzzy inference system (ANFIS) models in load prediction with real load data set. ANFIS models were trained and tested using 15-minute load data collected in Portugal by the electric power company EDP during a 42 day period. Simulation results gave promising results especially considering small size of used data set. Although the objective of the paper is to demonstrate possibilities for practical implementation, further research and improvement including the contributions of similar approaches in the world must be done
Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from dif...
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ISBN:
(纸本)0769517722
Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from different software tools are aggregated. It can be used as a single tool to aid the developer in the performance analysis of parallel programs. Our main goal is to provide a new version of Prober, with additional features. Among them we can highlight: the interpretation of user scripts, a user-level support library the generation of speedup and efficiency graphics, batch execution and a new user interface. In order to show, verify and analyze the use of the new version of Prober, we did performance tests in a parallel image convolution program. We added performance measuring routines to collect performance data within different internal code segments;built a set of scripts to specify the performance tests;ran the set of scripts in batch mode;used Prober to generate graphics and statistics based on the collected performance data;and analyzed the results rising Prober as an aid tool.
Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from dif...
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Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from different software tools are aggregated. It can be used as a single tool to aid the developer in the performance analysis of parallel programs. Our main goal is to provide a new version of Prober, with additional features. Among them we can highlight: the interpretation of user scripts, a user-level support library, the generation of speedup and efficiency graphics, batch execution and a new user interface. In order to show, verify and analyze the use of the new version of Prober, we did performance tests in a parallel image convolution program. We added performance measuring routines to collect performance data within different internal code segments; built a set of scripts to specify the performance tests; ran the set of scripts in batch mode; used Prober to generate graphics and statistics based on the collected performance data; and analyzed the results using Prober as an aid tool.
In this paper we analyze the teaching and learning of parallel processing through performance analysis using a software tool called Prober. This tool is a functional and performance analyzer of parallel programs that ...
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In this paper we analyze the teaching and learning of parallel processing through performance analysis using a software tool called Prober. This tool is a functional and performance analyzer of parallel programs that we proposed and developed during an undergraduate research project. Our teaching and learning approach consists of a practical class where students receive explanations about some concepts of parallel processing and the use of the tool. They do some oriented and simple performance tests on parallel programs and analyze their results using Prober as a single aid tool. Finally, students answer a self-assessment questionnaire about their formation, their knowledge of parallel processing concepts and also about the usability of Prober. Our main goal is to show that students can learn concepts of parallel processing in a clearer, faster and more efficient way using our approach.
We present a new learning method of microprocessor architecture based on design and verification using functional simulation. Our main goals are to improve and optimize the learning process, motivating students to stu...
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We present a new learning method of microprocessor architecture based on design and verification using functional simulation. Our main goals are to improve and optimize the learning process, motivating students to study and learn theoretical and practical aspects of microprocessor architecture, using functional simulators to validate the microprocessor design and to construct knowledge; and develop research activities during an undergraduate course. Our method is based on learning, constructivism theory, problem based learning, group projects, design of academic microprocessors as motivation for theory study/learning and verification of designed microprocessors through functional simulators developed by students. To validate the proposed method we analyze two microprocessors and functional simulators: a digital signal processor using ASIP and RISC concepts, and a RISC ASIP home automation processor. They were developed in a computer architecture course (computer science, PUC-Minas, Brazil) as the application of this method. In the conclusion students and professor analyze the results, highlighting the main differences, advantages and disadvantages of the new method.
作者：
BENNETT, RAWSONUSN Chief of Naval ResearchTHE AUTHOR was born on June 16
1905. in Chicago Illinois. He was appointed to the U. S. Naval Academy Annapolis. Maryland from California in 1923. Graduated and commissioned Ensign on June 2 1921 he subsequently advanced to the rank of Captain to date from March 20 1945. In December 1955 he was appointed Rear Admiral to date from January 3 1956. Following graduation in 1927 he joined the USS California flagship of the Battle Fleet. Later in 1928. he was assigned communication duty on the staff of Commander Battle Fleet serving as such until August 1930. In November of that year he reported on board the USS Isabel for duty on Asiatic Station and in October 1932 was transferred to the USS Rochester. He completed his Asiatic tour of duty in the USS Houston in 1933. Detached from this vessel he returned to the United States and joined the USS Idaho. After 7 years of sea duty he returned to Annapolis Maryland for postgraduate instruction in radio (electronic) engineering. He completed the course in May 1936 and was assigned to the University of California Berkeley for additional postgraduate work receiving the Master of Science degree in Electrical Engineering after which he reported aboard the USS Concord. Continuing sea duty he joined the staff of Commander Destroyer Division Nineteen (later redesignated Destroyer Fifty) in April 1938 and served as Radio and Sound Officer until June 1941. Starting in July 1939 he set up the technical program of the first fleet Sound School at San Diego California. In July 1941 he reported to the Bureau of Ships Navy Department Washington D.C. There he served first as Head of the Underwater Sound Design Section of the Radio Division and later Head of Electronics Design Division from 1943 to 1946. He was awarded the Legion of Merit “for exceptionally meritorious conduct” during this tour of duty. Upon leaving the Bureau of Ships in August 1946 he reported as Director of the U. S. Navy Electronics Laboratory Point Loma
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