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1 Current state of LFL 2 Different type of LED replacement 3 Compare LED with LFL 4 Back-lit type LED fixture is most efficient 5 600mm * 600mm back-lit LED fixture VS LED T8 fixture is cheaper and more efficient 6 New building sh...
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1 Current state of LFL 2 Different type of LED replacement 3 Compare LED with LFL 4 Back-lit type LED fixture is most efficient 5 600mm * 600mm back-lit LED fixture VS LED T8 fixture is cheaper and more efficient 6 New building should use LED over LFL or LED Tube. 7 LED replacement for LFL offer short ROI 8 LED is ready to replace LFL.
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摘要 :
1 Current state of LFL 2 Different type of LED replacement 3 Compare LED with LFL 4 Back-lit type LED fixture is most efficient 5 600mm * 600mm back-lit LED fixture VS LED T8 fixture is cheaper and more efficient 6 New building sh...
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1 Current state of LFL 2 Different type of LED replacement 3 Compare LED with LFL 4 Back-lit type LED fixture is most efficient 5 600mm * 600mm back-lit LED fixture VS LED T8 fixture is cheaper and more efficient 6 New building should use LED over LFL or LED Tube. 7 LED replacement for LFL offer short ROI 8 LED is ready to replace LFL.
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Offloading computation to resource-rich servers is effective in improving application performance on resource constrained mobile devices. Despite a rich body of research on mobile offloading frameworks, most previous works are eva...
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Offloading computation to resource-rich servers is effective in improving application performance on resource constrained mobile devices. Despite a rich body of research on mobile offloading frameworks, most previous works are evaluated in a single-tenant setting, i.e., a server is assigned to a single client. In this paper we consider that multiple clients offload various continuous mobile sensing applications with end-to-end delay constraints, to a cluster of machines as the server. Contention for shared computing resources on a server can unfortunately result in delays and application malfunctions. We present a two-phase Plan-Schedule approach to mitigate multi-tenant resource contention, thus to reduce offloading delays. The planning phase predicts future workloads from all clients, estimates contention, and devises offloading schedule to remove or reduce contention. The scheduling phase dispatches arriving offloaded workloads to the server machine that minimizes contention, according to the running workloads on each machine. We implement the methods into ATOMS (Accurate Timing prediction and Offloading for Mobile Systems), a framework that adopts prediction of workload computing times, estimation of network delays, and mobile-server clock synchronization techniques. Using several mobile vision applications, we evaluate ATOMS under diverse configurations and prove its effectiveness.
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摘要 :
Offloading computation to resource-rich servers is effective in improving application performance on resource constrained mobile devices. Despite a rich body of research on mobile offloading frameworks, most previous works are eva...
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Offloading computation to resource-rich servers is effective in improving application performance on resource constrained mobile devices. Despite a rich body of research on mobile offloading frameworks, most previous works are evaluated in a single-tenant setting, i.e., a server is assigned to a single client. In this paper we consider that multiple clients offload various continuous mobile sensing applications with end-to-end delay constraints, to a cluster of machines as the server. Contention for shared computing resources on a server can unfortunately result in delays and application malfunctions. We present a two-phase Plan-Schedule approach to mitigate multi-tenant resource contention, thus to reduce offloading delays. The planning phase predicts future workloads from all clients, estimates contention, and devises offloading schedule to remove or reduce contention. The scheduling phase dispatches arriving offloaded workloads to the server machine that minimizes contention, according to the running workloads on each machine. We implement the methods into ATOMS (Accurate Timing prediction and Offloading for Mobile Systems), a framework that adopts prediction of workload computing times, estimation of network delays, and mobile-server clock synchronization techniques. Using several mobile vision applications, we evaluate ATOMS under diverse configurations and prove its effectiveness.
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Maneuvering control of fixed-wing unmanned aerial vehicles (UAVs) is widely regarded to be a highly challenging control problem. As the maneuvering flight requires time-varying high dynamical control, it is particularly difficult ...
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Maneuvering control of fixed-wing unmanned aerial vehicles (UAVs) is widely regarded to be a highly challenging control problem. As the maneuvering flight requires time-varying high dynamical control, it is particularly difficult to design controllers that achieve such a high performance. This paper aims to handle the S-snakes maneuver for fixed-wing UAVs with model-free deep reinforcement learning (DRL). The policy network has the multiple continuous states input and multiple continuous action output, and we extend the Gate Recurrent Unit (GRU) block to reduce the impact of low Markov characteristics in control task. A new method using Soft Actor Critic (SAC) with Proportion Differentiation (PD) teacher guidance is proposed to accelerate the training process for this complex network. In the simulation of handling F16 aircraft, this intelligence control method achieve a much better tracking performance than the PD control method.
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In order to solve the problem that the existing microservice instances cannot meet the service resource requirements of the sensor device after the configuration of the sensor device is modified by Communication Power Supply and C...
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In order to solve the problem that the existing microservice instances cannot meet the service resource requirements of the sensor device after the configuration of the sensor device is modified by Communication Power Supply and Computer Room Environment Monitoring Platform (CPS&CREMP), this paper proposes an intelligent optimization method of microservice redeployment for CPS&CREMP. This method takes minimizing the redeployment cost of microservice instances as the optimization goal, and it considers not only the addition and deletion of microservice instances, but also the switching operation of the binding relationship between sensor devices and microservice instances. Even if the configuration files of a large number of sensor devices are modified, the CPS&CREMP can still run with high quality by performing a series of redeployment operations on the microservice instances. In order to achieve this goal, this paper designs an optimization design algorithm for microservice instance redeployment solution based on an improved ant colony algorithm, and uses Kubernetes to build a CPS&CREMP based on edge computing. In the real experimental scene, the optimization design algorithm is tested to verify its effectiveness.
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Fine-grained entity typing (FET) aims to deduce specific semantic types of the entity mentions in text. Modern methods for FET mainly focus on learning what a certain type looks like. And few works directly model the type differen...
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Fine-grained entity typing (FET) aims to deduce specific semantic types of the entity mentions in text. Modern methods for FET mainly focus on learning what a certain type looks like. And few works directly model the type differences, that is, let models know the extent that one type is different from others. To alleviate this problem, we propose a type-enriched hierarchical contrastive strategy for FET. Our method can directly model the differences between hierarchical types and improve the ability to distinguish multi-grained similar types. On the one hand, we embed type into entity contexts to make type information directly perceptible. On the other hand, we design a constrained contrastive strategy on the hierarchical structure to directly model the type differences, which can simultaneously perceive the distinguishability between types at different granularity. Experimental results on three benchmarks, BBN, OntoNotes, and FIGER show that our method achieves significant performance on FET by effectively modeling type differences.
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The growth of laser induced damage on the surface of fused silica plays a major role in determining the operation fluence and optics lifetime in high power laser system. In this paper, the damage growth characteristic of fused sil...
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The growth of laser induced damage on the surface of fused silica plays a major role in determining the operation fluence and optics lifetime in high power laser system. In this paper, the damage growth characteristic of fused silica and possible growth mechanisms were investigated. The morphology of damage site was measured by scanning electron microscopy (SEM) and optical microscopy (OM). The finite difference time domain (FDTD) method was used to calculate the electric field distribution around the damage site. Furthermore, energy dispersive spectrometers (EDS) micro-analysis technique, x-ray photoelectron spectrometer (XPS) and Raman spectroscopy were applied to detect the chemical composition, point defect and microstructure of damage site in order to explore the growth mechanism. It's found that the growth threshold is greatly affected by the size of damage site, and the growth threshold of damage site is much lower than that of undamaged area. Theoretical calculation demonstrated that the rough damage site can strong modulate the distribution of electric field and result in the enhancement of local light field around the damage site. Results also showed that the oxygen defect was generated and the structure was changed after initial laser damage. Based on the above analysis, a mechanism of laser-induced damage growth on fused silica surface was proposed.
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摘要 :
The growth of laser induced damage on the surface of fused silica plays a major role in determining the operation fluence and optics lifetime in high power laser system. In this paper, the damage growth characteristic of fused sil...
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The growth of laser induced damage on the surface of fused silica plays a major role in determining the operation fluence and optics lifetime in high power laser system. In this paper, the damage growth characteristic of fused silica and possible growth mechanisms were investigated. The morphology of damage site was measured by scanning electron microscopy (SEM) and optical microscopy (OM). The finite difference time domain (FDTD) method was used to calculate the electric field distribution around the damage site. Furthermore, energy dispersive spectrometers (EDS) micro-analysis technique, x-ray photoelectron spectrometer (XPS) and Raman spectroscopy were applied to detect the chemical composition, point defect and microstructure of damage site in order to explore the growth mechanism. It's found that the growth threshold is greatly affected by the size of damage site, and the growth threshold of damage site is much lower than that of undamaged area. Theoretical calculation demonstrated that the rough damage site can strong modulate the distribution of electric field and result in the enhancement of local light field around the damage site. Results also showed that the oxygen defect was generated and the structure was changed after initial laser damage. Based on the above analysis, a mechanism of laser-induced damage growth on fused silica surface was proposed.
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摘要 :
The growth of laser induced damage on the surface of fused silica plays a major role in determining the operation fluence and optics lifetime in high power laser system. In this paper, the damage growth characteristic of fused sil...
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The growth of laser induced damage on the surface of fused silica plays a major role in determining the operation fluence and optics lifetime in high power laser system. In this paper, the damage growth characteristic of fused silica and possible growth mechanisms were investigated. The morphology of damage site was measured by scanning electron microscopy (SEM) and optical microscopy (OM). The finite difference time domain (FDTD) method was used to calculate the electric field distribution around the damage site. Furthermore, energy dispersive spectrometers (EDS) micro-analysis technique, x-ray photoelectron spectrometer (XPS) and Raman spectroscopy were applied to detect the chemical composition, point defect and microstructure of damage site in order to explore the growth mechanism. It's found that the growth threshold is greatly affected by the size of damage site, and the growth threshold of damage site is much lower than that of undamaged area. Theoretical calculation demonstrated that the rough damage site can strong modulate the distribution of electric field and result in the enhancement of local light field around the damage site. Results also showed that the oxygen defect was generated and the structure was changed after initial laser damage. Based on the above analysis, a mechanism of laser-induced damage growth on fused silica surface was proposed.
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