Meetings take a large amount of time, and frequently, meeting facilitators are called in to help steer the meeting in the right direction. Unfortunately, facilitation is still something of an art. To assist facilitato...
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Meetings take a large amount of time, and frequently, meeting facilitators are called in to help steer the meeting in the right direction. Unfortunately, facilitation is still something of an art. To assist facilitators, the thinkLet technique has been proposed. Through the use of thinkLets, facilitators may plan the meeting beforehand, deciding which activities to perform at each point. However, designing a meeting is not an easy task, especially for novice facilitators. In this paper we present AgendBuilder, a system to assist the design of meetings, electronic or otherwise, using thinkLets and compatibility rules. The system helps facilitators select and link thinkLets together in and orderly fashion, designing the meeting in the process.
The aim of this paper is to introduce the special session on Recent Advances in Complex Networks: Theories and Applications at ISCAS 2010 by giving a brief outline of the subject and presenting some recent advances in...
The aim of this paper is to introduce the special session on Recent Advances in Complex Networks: Theories and Applications at ISCAS 2010 by giving a brief outline of the subject and presenting some recent advances in a field of our own interest, i.e., Control and Synchronization of Complex Networks, with special attention to adaptive synchronization and control strategies.
Particle swarm optimizer (PSO) is a stochastic global optimization technique based on a social interaction metaphor. Because of the complexity, dynamics and randomness involved in PSO, it is hard to theoretically anal...
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A method for universal combat platform simulator development based on domain model and component technology is proposed. On the high abstraction level, domain model can be used to obtain demand model in the special do...
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A method for universal combat platform simulator development based on domain model and component technology is proposed. On the high abstraction level, domain model can be used to obtain demand model in the special domains, based on which different business objects should be mapped to different components. Basic Framework describes the combat platform commonness and provides its variety extensions in which corresponding components can be integrated into the simulator. In this way, all kinds of combat platform simulators can be developed. This method is capable to capture domain commonness and control variability successfully. For this reason, the reusability and interoperability of a military simulation software are both greatly improved.
This paper proposes a novel weighted feature fusion in color face recognition (FR) to automatically annotate faces in personal videos. In the proposed FR method, multiple face images (belonging to the same subject) ar...
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This paper proposes a novel weighted feature fusion in color face recognition (FR) to automatically annotate faces in personal videos. In the proposed FR method, multiple face images (belonging to the same subject) are clustered from a sequence of video frames. To facilitate a complementary effect on improving annotation performance, the grouped faces are combined using the proposed weighted feature fusion. In addition, we make effective use of facial color feature to cope with decrease in annotation performance due to a low-resolution face in personal videos. To evaluate the effectiveness of proposed FR method, more than 40,000 video frames for 10 real-world personal videos are collected from an existing online video sharing website. Experimental results show that the proposed FR method significantly improves annotation performance obtained using conventional grayscale image based FR methods.
Many techniques have been developed to accelerate micro-architecture simulation since it is becoming increasingly urgent as the complexity of workloads and simulated processors increases. However, most of popular tech...
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Many techniques have been developed to accelerate micro-architecture simulation since it is becoming increasingly urgent as the complexity of workloads and simulated processors increases. However, most of popular techniques need profiles or trial simulations to determine parameters before real simulations. When the number of dynamic instructions of workloads such as SPEC CPU2006 is huge, the profiles or trial simulations often take a long time. What's worse, any changes of benchmarks need to repeat the above work. This paper proposes a novel approach based on fractals to solve this problem. It employs the generation procedure of trisection Cantor Set, a classic fractal, to select instructions simulated in detail. We implement a simulator named CantorSim using the trisection Cantor fractal approach. The simulator is evaluated with benchmark programs from SPEC CPU2000 and SPEC CPU2006. We show that our approach is micro-architecture independent as the same parameter value for a single program yields similar results on processors with different configurations. The unified analytical model used to determine sampling parameters for different benchmarks indicates the proposed approach can save a lot of time for preparing parameters. On the other hand, for SPEC CPU2000 and SPEC CPU2006, CantorSim is slightly faster than SMARTSim. The validated average CPI relative errors of the SPEC CPU2000 and SPEC CPU2006 are 3.2% and 2.2% respectively. Therefore, our proposed approach can simplify acceleration of simulations significantly without sacrificing speed and accuracy.
Rigidity and reflectivity are important properties of objects, identifying these properties is a fundamental problem for many computer vision applications like motion and tracking. In this paper, we extend our previou...
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Rigidity and reflectivity are important properties of objects, identifying these properties is a fundamental problem for many computer vision applications like motion and tracking. In this paper, we extend our previous work to propose a motion analysis based approach for detecting the object's rigidity and reflectivity. This approach consists of two steps. The first step aims to identify object rigidity based on motion estimation and optic flow matching. The second step is to classify specular rigid and diffuse rigid objects using structure from motion and Procrustes analysis. We show how rigid bodies can be detected without knowing any prior motion information by using a mutual information based matching method. In addition, we use a statistic way to set thresholds for rigidity classification. Presented results demonstrate that our approach can efficiently classify the rigidity and reflectivity of an object.
This paper presents a wideband photonic antenna consisting the laser diode, matching circuit, RF amplifier and microstrip patch antenna are fabricated and connected together to perform in uplink system. Laser driver i...
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This paper presents a wideband photonic antenna consisting the laser diode, matching circuit, RF amplifier and microstrip patch antenna are fabricated and connected together to perform in uplink system. Laser driver is used to supply the dc biasing for the laser. Lastly, the LD-matching circuit, RF amplifier and antenna were arrange together and connected to perform the wireless uplink system. The simulated and measured results are presented and discussed. These results show useful photonic antenna design that achieves relatively wide bandwidth and has potential to be applied in RoF technology.
Face detection is becoming popular in surveillance applications; however, the need of enormous size face/non-face dataset, large number of features, and long training time are persistent problems. This paper claims th...
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Face detection is becoming popular in surveillance applications; however, the need of enormous size face/non-face dataset, large number of features, and long training time are persistent problems. This paper claims that only a subset of the total number of features conserves the major power to detect faces; hence, this subset is capable to detect faces with high detection rate. The proposed detector fuses the results of two classifiers where one is trained with only 40 Haar-like features and the other is trained with only 50 LBP Histogram features. A pre-processing stage of skin-tone detection is applied to reduce the false positive rate. The detector is examined on real-life low-resolution surveillance sequence. Conducted experiments show that the proposed detector can achieve a high detection rate and a low false positive rate. Also, it outperforms Lienhart detector and tolerates wide range of illumination and blurring changes.
Partial order reduction techniques have been used to combat the state explosion problem in model checking procedures for concurrent systems with probabilistic behaviors. There are some results that give criteria on ap...
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ISBN:
(纸本)9781424465972;9780769540115
Partial order reduction techniques have been used to combat the state explosion problem in model checking procedures for concurrent systems with probabilistic behaviors. There are some results that give criteria on applying partial order reduction for verifying quantitative time properties and reward-based properties on actions. However, there are many situations that reward-based properties are expressed on states rather than on actions because actions are triggered in no time and the quantities can not be obtained easily. This paper presents reduction criteria for a probabilistic temporal logic that allows specification of restrictions on quantitative measures given by spatial resources function for the states of the considered system and provides the proof of the correctness.
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