scholarly journals Parameter Analysis of Interfering Applications in Multi-Core Environment for Throughput Enhancement

In Multi-core systems the applications co-execute in Multi-programmed mode, have interfere with each other during execution, which creates resource bottleneck affecting the performance. To reduce the interference in a given set of resources some conventional approaches don't give guarantee of performance in a conflicting application environment. In this paper, we make an in-depth analysis of benchmark applications interference for shared resources and find out application set which could be executed adopting a designated policy to mitigate the interference effects. In this work, we have performed profiling and analysis of applications on the state-of-the-art simulator gem5. Finally, we conclude the possibility of performance improvement through the designated policy. The simulation results show the scope to have a new scheduler for performance improvement in such systems.

2021 ◽  
Vol 8 (2) ◽  
pp. 273-287
Author(s):  
Xuewei Bian ◽  
Chaoqun Wang ◽  
Weize Quan ◽  
Juntao Ye ◽  
Xiaopeng Zhang ◽  
...  

AbstractRecent learning-based approaches show promising performance improvement for the scene text removal task but usually leave several remnants of text and provide visually unpleasant results. In this work, a novel end-to-end framework is proposed based on accurate text stroke detection. Specifically, the text removal problem is decoupled into text stroke detection and stroke removal; we design separate networks to solve these two subproblems, the latter being a generative network. These two networks are combined as a processing unit, which is cascaded to obtain our final model for text removal. Experimental results demonstrate that the proposed method substantially outperforms the state-of-the-art for locating and erasing scene text. A new large-scale real-world dataset with 12,120 images has been constructed and is being made available to facilitate research, as current publicly available datasets are mainly synthetic so cannot properly measure the performance of different methods.


1979 ◽  
Vol 73 (6) ◽  
pp. 217-227
Author(s):  
Susan J. Lederman ◽  
Denise H. Kinch

Discusses the state of the art in using texture in tactual maps and graphics for visually handicapped persons. Previous studies that have attempted to determine a set of highly discriminable textures are examined in detail. The discrimination of textures occurring within the context of other map symbols is also considered, along with the interference effects of texture on the identification of other classes of map symbols. Finally, suggestions for further research are offered.


Author(s):  
Chengkui Xiahou ◽  
Jonathan N L Connor

Yuan et al. [Nature Chem., 2018, 10, 653] have reported state-of-the-art measurements of differential cross sections (DCSs) for the H + HD → H2 + D reaction, measuring for the...


2021 ◽  
Vol 13 (2) ◽  
pp. 115-133
Author(s):  
Pengcheng Cao ◽  
Weiwei Liu ◽  
Guangjie Liu ◽  
Jiangtao Zhai ◽  
Xiao-Peng Ji ◽  
...  

To conceal the very existence of communication, the noise-based wireless covert channel modulates secret messages into artificial noise, which is added to the normal wireless signal. Although the state-of-the-art work based on constellation modulation has made the composite and legitimate signal undistinguishable, there exists an imperfection on reliability due to the dense distribution of covert constellation points. In this study, the authors design a wireless covert channel based on dither analog chaotic code to improve the reliability without damaging the undetectability. The dither analog chaotic code (DACC) plays the role as the error correcting code. In the modulation, the analog variables converted from secret messages are encode into joint codewords by chaotic mapping and dither derivation of DACC. The joint codewords are mapped to artificial noise later. Simulation results show that the proposed scheme can achieve better reliability than the state-of-the-art scheme while maintaining the similar performance on undetectability.


Climate Law ◽  
2019 ◽  
Vol 9 (1-2) ◽  
pp. 137-147
Author(s):  
Marjan Peeters

EU climate law has come to consist of many rules and court decisions. Given its breadth, complexity, and dynamic nature, it is a huge challenge for scholars to acquire a good overview, let alone develop a comprehensive and in-depth analysis of the law. It should not be taboo to concede that hard-working scholars may fall short of having a thorough appreciation of the “state of the art” of EU climate law. Because of this, not only prioritization but also cooperation among scholars is necessary. While legal research can point to problems and shortcomings in EU climate law, it should at the same time delve on the importance of having a body of EU climate law leading to emission reductions that most likely would not have been achieved if the EU member states had had to decide on this objective individually.


Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3664 ◽  
Author(s):  
Qichen Zhang ◽  
Meiqiang Zhu ◽  
Liang Zou ◽  
Ming Li ◽  
Yong Zhang

Deep reinforcement learning (DRL) has been successfully applied in mapless navigation. An important issue in DRL is to design a reward function for evaluating actions of agents. However, designing a robust and suitable reward function greatly depends on the designer’s experience and intuition. To address this concern, we consider employing reward shaping from trajectories on similar navigation tasks without human supervision, and propose a general reward function based on matching network (MN). The MN-based reward function is able to gain the experience by pre-training through trajectories on different navigation tasks and accelerate the training speed of DRL in new tasks. The proposed reward function keeps the optimal strategy of DRL unchanged. The simulation results on two static maps show that the DRL converge with less iterations via the learned reward function than the state-of-the-art mapless navigation methods. The proposed method performs well in dynamic maps with partially moving obstacles. Even when test maps are different from training maps, the proposed strategy is able to complete the navigation tasks without additional training.


1998 ◽  
Vol 20 (7) ◽  
pp. 617-630 ◽  
Author(s):  
A.C. Khanduri ◽  
T. Stathopoulos ◽  
C. Bédard

2018 ◽  
Vol 26 (4) ◽  
pp. 597-620 ◽  
Author(s):  
Pascal Kerschke ◽  
Lars Kotthoff ◽  
Jakob Bossek ◽  
Holger H. Hoos ◽  
Heike Trautmann

The Travelling Salesperson Problem (TSP) is one of the best-studied NP-hard problems. Over the years, many different solution approaches and solvers have been developed. For the first time, we directly compare five state-of-the-art inexact solvers—namely, LKH, EAX, restart variants of those, and MAOS—on a large set of well-known benchmark instances and demonstrate complementary performance, in that different instances may be solved most effectively by different algorithms. We leverage this complementarity to build an algorithm selector, which selects the best TSP solver on a per-instance basis and thus achieves significantly improved performance compared to the single best solver, representing an advance in the state of the art in solving the Euclidean TSP. Our in-depth analysis of the selectors provides insight into what drives this performance improvement.


Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1901
Author(s):  
Hang Li ◽  
Zhiqun Cheng

Angle-of-arrival (AoA) estimation in localized hybrid arrays suffers from phase ambiguity owing to its localized structure and vulnerability to noise. In this letter, we propose a novel phase shift design, allowing each subarray to exploit difference beam steering in two potential AoA directions. This enables the calibration of cross-correlations and an enhanced phase offset estimation between adjacent subarrays. We propose two unambiguous AoA estimation schemes based on the even and odd ratios of the number of antennas per subarray N to the number of different phase shifts per symbol K (i.e., N/K), respectively. The simulation results show that the proposed approach greatly improves the estimation accuracy as compared to the state of the art when the ratio N/K is even.


Author(s):  
T. A. Welton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.


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