Ring-based WDM-PONs can employ a single dedicated wavelength channel to interconnect the Optical Network Units (ONUs) thus providing a means for inter-ONU communication and downstream wavelength sharing. In this paper...
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ISBN:
(纸本)9781479956029
Ring-based WDM-PONs can employ a single dedicated wavelength channel to interconnect the Optical Network Units (ONUs) thus providing a means for inter-ONU communication and downstream wavelength sharing. In this paper, a new TDM dynamic bandwidth allocation (DBA) algorithm for inter-ONU communication is proposed, which takes into account the destination of the ONUs on the ring. The main purpose of this 'Destination-Aware' (DestAware) algorithm is to improve the network inter-ONU communication performance without any additional cost. Performance results show that by considering the destination of the ONUs during the bandwidth allocation process both line utilization and experienced delay are improved.
The inherent structure of a social network has a significant impact on its functioning and health. Understanding the topology can lead to better strategies to control the functioning of the network and enable rapid id...
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ISBN:
(纸本)9781479923601
The inherent structure of a social network has a significant impact on its functioning and health. Understanding the topology can lead to better strategies to control the functioning of the network and enable rapid identification and prevention of risks such as fragmentation and spread of infection. This paper focuses on modeling and analyzing the structure of the social network associated with voice and SMS communication in a large community in Asia. It studies the topological characteristics of networks and develops a generative model for them. Based on the typical small world characteristics, large scale test systems can be developed to better study the working of new algorithms for cell-phone networks.
This paper addresses the problem of flood detection from the cloud-contaminated MODIS time-series data. Although MODIS data can provide almost daily coverage over the large area with the medium resolution. The use of ...
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This paper addresses the problem of flood detection from the cloud-contaminated MODIS time-series data. Although MODIS data can provide almost daily coverage over the large area with the medium resolution. The use of MODIS data for flood mapping in the tropical regions is a challenging task due to the cloud contamination. Since the floods usually occur in the connected regions over a certain period of time, we employed the Markov random field model to characterize this property. For our experiments, the classification accuracy of flooded and non-flooded areas can be significantly increased by incorporating the MRF model.
Vehicular networks will play an important role in future smart cities. Connected vehicles will be able to provide entertainment content to their users in order to make traffic situations more enjoyable. However, the a...
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Vehicular networks will play an important role in future smart cities. Connected vehicles will be able to provide entertainment content to their users in order to make traffic situations more enjoyable. However, the amount of bandwidth available to the vehicles may not be enough to satisfy all of them. In this case, we can say that a conflict of interest occurred and then must the solved as fair as possible. In this work, we propose a solution to solve this kind of collective conflict. Our solution balances users' satisfaction with resources consumption as it is capable of choosing the most adequate resolution algorithm based on the current application's situation. The results showed that with our solution it was possible to achieve adequate satisfaction levels, with low response time and controlled network usage.
Parameterized probabilistic complex computational (P 2 C 2 ) models are being increasingly used in computational systems biology for analyzing biological systems. A key challenge is to build mechanistic P 2 C 2 model...
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Parameterized probabilistic complex computational (P 2 C 2 ) models are being increasingly used in computational systems biology for analyzing biological systems. A key challenge is to build mechanistic P 2 C 2 models by combining prior knowledge and empirical data, given that certain system properties are unknown. These unknown components are incorporated into a model as parameters and determining their values has traditionally been a process of trial and error. We present a new algorithmic procedure for discovering parameters in agent-based models of biological systems against behavioral specifications mined from large data-sets. Our approach uses Bayesian model checking, sequential hypothesis testing, and stochastic optimization to synthesize parameters of P 2 C 2 models. We demonstrate our algorithm by discovering the amount and schedule of doses of bacterial lipopolysaccharide in a clinical agent-based model of the dynamics of acute inflammation that guarantee a set of desired clinical outcomes with high probability.
In this study, a method is proposed to detect orange fruits on tree using image processing techniques in order to develop software for an auto-orange collector robot system. Fruit detection based on computer vision in...
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ISBN:
(纸本)9781479908684
In this study, a method is proposed to detect orange fruits on tree using image processing techniques in order to develop software for an auto-orange collector robot system. Fruit detection based on computer vision includes some problems. The main problem is variable lighting conditions for the environment in outdoor. The additional problem is the occlusion of fruits by leaves, branches, and the other fruits. In the proposed method these problems are also examined.
We present a federation model to support the dynamic federation of resources and autonomic management mechanisms that coordinate multiple workflows to use resources based on objectives. We illustrate the effectiveness...
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This video presents our preliminary work towards addressing the ladder climbing event in DARPA Robotics Challenge (DRC) using DRC-Hubo robot. A ladder-climbing motion planner is developed which generates a collision-f...
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This video presents our preliminary work towards addressing the ladder climbing event in DARPA Robotics Challenge (DRC) using DRC-Hubo robot. A ladder-climbing motion planner is developed which generates a collision-free, stable quasi-static trajectory for execution. Compliance control is enabled on arm joints to compensate for the calibration error, modeling error and control error. We have demonstrated that DRC-Hubo can robustly climb a variety of ladders in simulation and successfully climb a ship ladder on the hardware.
This paper presents an autonomous planning and control framework for humanoid robots to climb general ladder- and stair-like structures. The approach consists of two major components: 1) a multi-limbed locomotion plan...
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This paper presents an autonomous planning and control framework for humanoid robots to climb general ladder- and stair-like structures. The approach consists of two major components: 1) a multi-limbed locomotion planner that takes as input a ladder model and automatically generates a whole-body climbing trajectory that satisfies contact, collision, and torque limit constraints; 2) a compliance controller which allows the robot to tolerate errors from sensing, calibration, and execution. Simulations demonstrate that the robot is capable of climbing a wide range of ladders and tolerating disturbances and errors. Physical experiments demonstrate the DRC-Hubo humanoid robot successfully mounting, climbing, and dismounting an industrial ladder similar to the one intended to be used in the DARPA Robotics Challenge Trials.
The worst-case model of a wire radiation field intended for the analysis of spurious couplings in complexes of radio and electronic equipment has been developed. The model is based on dividing the wire into straight-l...
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The worst-case model of a wire radiation field intended for the analysis of spurious couplings in complexes of radio and electronic equipment has been developed. The model is based on dividing the wire into straight-line segments and considering forward and backward current waves in each segment. The solution for each current wave is interpreted as interference of fields radiated by equivalent point sources, and the envelope of the amplitude-frequency characteristic is found in the area of resonances. The correctness of the model is checked in a wide range of problem parameters values: the length of the wire ranges from 0.1 m to 10 m, the height of the wire above the ground plane ranges from 0.1 mm to 1 m, and the observation point position is up to 10 m away from the center of the wire in arbitrary direction.
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