scholarly journals Scale and quality of Peccei-Quinn symmetry and weak gravity conjectures

2020 ◽  
Vol 2020 (10) ◽  
Author(s):  
Wen Yin
Keyword(s):  
Gauge Symmetry ◽  
Gauge Group ◽  
Weakly Coupled ◽  
Promising Solution ◽  
Weak Gravity ◽  
Hierarchy Problems

Abstract The promising solution to the strong CP problem by a Peccei-Quinn (PQ) symmetry may introduce quality and hierarchy problems, which are both relevant to Planck physics. In this paper, we study whether both problems can be explained by introducing a simple hidden gauge group which satisfies the WGC or its variant. As a concrete example, we point out that a weakly-coupled hidden SU(N ) gauge symmetry, which is broken down to SO(N ), can do this job in the context of a Tower/sub-Lattice WGC. Cosmology is discussed.

scholarly journals Complete resource pooling of a load-balancing policy for a network of battery swapping stations

2021 ◽  
Author(s):  
Fiona Sloothaak ◽  
James Cruise ◽  
Seva Shneer ◽  
Maria Vlasiou ◽  
Bert Zwart
Keyword(s):  
Carbon Emission ◽  
Queueing Network ◽  
Service Levels ◽  
Resource Pooling ◽  
Transportation Sector ◽  
Single Station ◽  
Optimal Resource ◽  
Promising Solution ◽  
Reduce Carbon Emission

AbstractTo reduce carbon emission in the transportation sector, there is currently a steady move taking place to an electrified transportation system. This brings about various issues for which a promising solution involves the construction and operation of a battery swapping infrastructure rather than in-vehicle charging of batteries. In this paper, we study a closed Markovian queueing network that allows for spare batteries under a dynamic arrival policy. We propose a provisioning rule for the capacity levels and show that these lead to near-optimal resource utilization, while guaranteeing good quality-of-service levels for electric vehicle users. Key in the derivations is to prove a state-space collapse result, which in turn implies that performance levels are as good as if there would have been a single station with an aggregated number of resources, thus achieving complete resource pooling.

Cooperative Communication System Architectures for Cellular Networks

2010 ◽  
pp. 522-547
Author(s):  
Mischa Dohler ◽  
Djamal-Eddine Meddour ◽  
Sidi-Mohammed Senouci ◽  
Hassnaa Moustafa
Keyword(s):  
Business Models ◽  
Access Point ◽  
Cooperative Networks ◽  
Base Station ◽  
System Architectures ◽  
Data Rates ◽  
Promising Solution ◽  
Coverage Problems ◽  
The Cost

An ever-growing demand for higher data-rates has facilitated the growth of wireless networks in the past decades. These networks, however, are known to exhibit capacity and coverage problems, hence jeopardizing the promised quality of service towards the end-user. To overcome these problems, prohibitive investment costs in terms of base station or access point rollouts would be required if traditional, non-scalable, cell-splitting, and micro-cell capacity dimension procedures were applied. The prime aim of current R&D initiatives is, hence, to develop innovative network solutions that decrease the cost per bit/s/Hz over the wireless link. To this end, cooperative networks have emerged as an efficient and promising solution. We discuss in this chapter some key research and deployment issues, with emphasis on cooperative architectures, networking, and security solutions. We expose some motivations to use such networks, as well as latest state-of-the-art developments, open research challenges, and business models.

scholarly journals A Novel Consistent Quality Driven for JEM Based Distributed Video Coding

Algorithms ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 130 ◽  
Author(s):  
Dinh Trieu Duong ◽  
Huy Phi Cong ◽  
Xiem Hoang Van
Keyword(s):  
Video Coding ◽  
Signal To Noise Ratio ◽  
Video Quality ◽  
Visual Quality ◽  
Low Complexity ◽  
Distributed Video Coding ◽  
Surveillance Systems ◽  
Promising Solution ◽  
Optimal Values

Distributed video coding (DVC) is an attractive and promising solution for low complexity constrained video applications, such as wireless sensor networks or wireless surveillance systems. In DVC, visual quality consistency is one of the most important issues to evaluate the performance of a DVC codec. However, it is the fact that the quality of the decoded frames that is achieved in most recent DVC codecs is not consistent and it is varied with high quality fluctuation. In this paper, we propose a novel DVC solution named Joint exploration model based DVC (JEM-DVC) to solve the problem, which can provide not only higher performance as compared to the traditional DVC solutions, but also an effective scheme for the quality consistency control. We first employ several advanced techniques that are provided in the Joint exploration model (JEM) of the future video coding standard (FVC) in the proposed JEM-DVC solution to effectively improve the performance of JEM-DVC codec. Subsequently, for consistent quality control, we propose two novel methods, named key frame quantization (KF-Q) and Wyner-Zip frame quantization (WZF-Q), which determine the optimal values of the quantization parameter (QP) and quantization matrix (QM) applied for the key and WZ frame coding, respectively. The optimal values of QP and QM are adaptively controlled and updated for every key and WZ frames to guarantee the consistent video quality for the proposed codec unlike the conventional approaches. Our proposed JEM-DVC is the first DVC codec in literature that employs the JEM coding technique, and then all of the results that are presented in this paper are new. The experimental results show that the proposed JEM-DVC significantly outperforms the relevant DVC benchmarks, notably the DISCOVER DVC and the recent H.265/HEVC based DVC, in terms of both Peak signal-to-noise ratio (PSNR) performance and consistent visual quality.

scholarly journals Validation of Deep Learning-Based Artifact Correction on Synthetic FLAIR Images in a Different Scanning Environment

2020 ◽  
Vol 9 (2) ◽  
pp. 364 ◽  
Author(s):  
Kyeong Hwa Ryu ◽  
Hye Jin Baek ◽  
Sung-Min Gho ◽  
Kanghyun Ryu ◽  
Dong-Hyun Kim ◽  
...  
Keyword(s):  
Deep Learning ◽  
Periventricular White Matter ◽  
Artifact Correction ◽  
Significant Difference ◽  
Fluid Attenuated Inversion Recovery ◽  
Quantitative Analyses ◽  
Promising Solution ◽  
Test Sets ◽  
Magnetic Resonance Imaging Mri

We investigated the capability of a trained deep learning (DL) model with a convolutional neural network (CNN) in a different scanning environment in terms of ameliorating the quality of synthetic fluid-attenuated inversion recovery (FLAIR) images. The acquired data of 319 patients obtained from the retrospective review were used as test sets for the already trained DL model to correct the synthetic FLAIR images. Quantitative analyses were performed for native synthetic FLAIR and DL-FLAIR images against conventional FLAIR images. Two neuroradiologists assessed the quality and artifact degree of the native synthetic FLAIR and DL-FLAIR images. The quantitative parameters showed significant improvement on DL-FLAIR in all individual tissue segments and total intracranial tissues than on the native synthetic FLAIR (p < 0.0001). DL-FLAIR images showed improved image quality with fewer artifacts than the native synthetic FLAIR images (p < 0.0001). There was no significant difference in the preservation of the periventricular white matter hyperintensities and lesion conspicuity between the two FLAIR image sets (p = 0.217). The quality of synthetic FLAIR images was improved through artifact correction using the trained DL model on a different scan environment. DL-based correction can be a promising solution for ameliorating the quality of synthetic FLAIR images to broaden the clinical use of synthetic magnetic resonance imaging (MRI).

scholarly journals A Joint Routing and Channel Assignment Scheme for Hybrid Wireless-Optical Broadband-Access Networks

2018 ◽  
Vol 7 (4) ◽  
pp. 44 ◽  
Author(s):  
Amitangshu Pal ◽  
Asis Nasipuri
Keyword(s):  
Channel Assignment ◽  
Single Channel ◽  
Access Networks ◽  
Network Interface ◽  
Broadband Access ◽  
Broadband Access Networks ◽  
Promising Solution ◽  
End To End ◽  
Assignment Scheme

In this paper, we investigate mechanisms for improving the quality of communications in wireless-optical broadband access networks (WOBAN), which present a promising solution to meet the growing needs for capacity of access networks. This is achieved by using multiple gateways and multi-channel operation along with a routing protocol that effectively reduces the effect of radio interference. We present a joint route and channel assignment scheme with the objective of maximizing the end-to-end probability of success and minimizing the end-to-end delay for all active upstream traffic in the WOBAN. Performance evaluations of the proposed scheme are presented using ns-2 simulations, which show that the proposed scheme improves the network throughput up to three times and reduces the traffic delay by six times in presence of 12 channels and four network interface cards (NICs), compared to a single channel scenario.

GENERALIZED NONCOMMUTATIVE SUPERALGEBRAS

2003 ◽  
Vol 18 (08) ◽  
pp. 587-599 ◽  
Author(s):  
REZA ABBASPUR
Keyword(s):  
Gauge Symmetry ◽  
Gauge Group ◽  
Central Extension ◽  
Unified Framework ◽  
Fermionic Operators ◽  
Gauge Connection

Using the notions of gauge symmetry and gauge connection on ordinary superspaces, we derive a class of generalized supertranslation algebras in the case of N = 1, D = 2 Euclidean superspace with a U(1) gauge group. This generalizes the ordinary algebra by inclusion of some additional bosonic and fermionic operators which are interpreted as the generators of the U(1) gauge symmetry on superspace. The generalized superalgebra closes only for very particular configurations of the gauge connection superfield. This provides a unified framework for a variety of generalizations of the ordinary superalgebra such as its central extension and its noncommutative deformation found in an earlier work.

scholarly journals QoE-Oriented Mobile Edge Service Management Leveraging SDN and NFV

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Shuping Peng ◽  
Jose Oscar Fajardo ◽  
Pouria Sayyad Khodashenas ◽  
Begoña Blanco ◽  
Fidel Liberal ◽  
...  
Keyword(s):  
Service Management ◽  
Mobile Network ◽  
Cost Effective ◽  
Reference Architecture ◽  
Channel State ◽  
Performance Requirements ◽  
Promising Solution ◽  
Effective Network ◽  
Lifecycle Management

5G envisages a “hyperconnected society” where trillions of diverse entities could communicate with each other anywhere and at any time, some of which will demand extremely challenging performance requirements such as submillisecond low latency. Mobile Edge Computing (MEC) concept where application computing resources are deployed at the edge of the mobile network in proximity of an end user is a promising solution to improve quality of online experience. To make MEC more flexible and cost-effective Network Functions Virtualisation (NFV) and Software-Defined Networking (SDN) technologies are widely adopted. It leads to significant CAPEX and OPEX reduction with the help of a joint radio-cloud management and orchestration logic. In this paper we discuss and develop a reference architecture for the orchestration and management of the MEC ecosystem. Along with the lifecycle management flows of MEC services, indicating the interactions among the functional modules inside the Orchestrator and with external elements, QoS management with a focus on the channel state information technique is presented.

Avoidance of Bonding Pad Contamination Affecting Back-End Assembly Process

2008 ◽  
Author(s):  
Mu-Chun Wang ◽  
Kuo-Shu Huang ◽  
Zhen-Ying Hsieh ◽  
Shuang-Yuan Chen ◽  
Heng-Sheng Huang
Keyword(s):  
High Performance ◽  
Gold Wire ◽  
Assembly Process ◽  
Bond Performance ◽  
Root Cause ◽  
Wire Bond ◽  
Fine Pitch ◽  
Promising Solution ◽  
Adhesion Process

While the process fabrication and the electronic applications develop quickly, the die size and the package type also confront the improvement from the customers’ request to achieve the better signal performance in IC products. In cost consideration and marketing competition, most of commercial IC products still adopt the wire-bond technology, except some high performance products with solder/gold balls adhesion process. For consumer ICs, the gold wire is the major material to connect the IC chip and the lead frame through the bondability technology. In the recent era, the bond pad size and pitch is always shrinking. Therefore, the bond performance strongly depends on wire bond machine to provide lighters, thinner, and more reliable IC. After pad size shrinkage, the quality of pad is more impressed for wire bond reliability, especially in fine-pitch assembly process. It’s a challenge in reliability requirement. In this study, the root cause and promising solution of bond pad contamination were investigated. One is to improve the bonding yield in wire-bond process; the other is to promote the bonding reliability after the whole assembly process.

scholarly journals The Effects of Hot Water and Ultrasonication Pretreatment of Microalgae (Nannochloropsis oculata) on Biogas Production in Anaerobic Co-Digestion with Cow Manure

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1558
Author(s):  
Muhammad Saleem ◽  
Muhammad Usman Hanif ◽  
Ali Bahadar ◽  
Hamid Iqbal ◽  
Sergio C. Capareda ◽  
...  
Keyword(s):  
Chemical Structure ◽  
Suspended Solids ◽  
Biogas Production ◽  
Gas Production ◽  
Nannochloropsis Oculata ◽  
Hot Water ◽  
Cow Manure ◽  
Biogenic Methane ◽  
Promising Solution

Anaerobic co-digestion provides a promising solution for converting inexpensive carbon from wastes to biogenic methane. We used microalgae (Nannochloropsis oculata) with cow manure and sludge to produce a better quantity and quality of biogas. To further improve the gas production, microalgae were pretreated with ultrasonication, hot water, and a combination of both. Interestingly, the results showed that the pretreatment of microalgae decreased biogas production by 5 to 30%. The no-pretreatment runs produced a maximum of 118 L of biogas. The relative content of biogenic methane was higher in the pretreated feedstock (48 to 52%) in comparison with the no-pretreatment runs (44%). The conversion of volatile suspended solids present in the feedstock to total biogenic methane production was highest in hot-water-treated runs. The carbon content in the gas produced by the pretreated microalgae peaked (38%) in the middle of the experiment (i.e., at 45 days), whereas for no-pretreatment runs, the content remained constant from the start to the middle and declined (from 36 to 34%) at the end of the experiment (i.e., at 90 days). We also report the chemical structure of microalgae with and without pretreatments.

Learning-Based Adaptive Management of QoS and Energy for Mobile Robotic Missions

2019 ◽  
Vol 13 (04) ◽  
pp. 513-539
Author(s):  
Dinh-Khanh Ho ◽  
Karim Ben Chehida ◽  
Benoit Miramond ◽  
Michel Auguin
Keyword(s):  
Autonomous Navigation ◽  
Robotic Systems ◽  
Energy Aware ◽  
Management Framework ◽  
Performance Requirements ◽  
Parameter Configuration ◽  
Mapping Parameter ◽  
Promising Solution ◽  
Robotic Missions

Mobile robotic systems are normally confronted with the shortage of on-board resources such as computing capabilities and energy, as well as significantly influenced by the dynamics of surrounding environmental conditions. This context requires adaptive decisions at run-time that react to the dynamic and uncertain operational circumstances for guaranteeing the performance requirements while respecting the other constraints. In this paper, we propose a reinforcement learning (RL)-based approach for Quality of Service QoS and energy-aware autonomous robotic mission manager. The mobile robotic mission manager leverages the idea of (RL) by monitoring actively the state of performance and energy consumption of the mission and then selecting the best mapping parameter configuration by evaluating an accumulative reward feedback balancing between QoS and energy. As a case study, we apply this methodology to an autonomous navigation mission. Our simulation results demonstrate the efficiency of the proposed management framework and provide a promising solution for the real mobile robotic systems.

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