The targets of limiting global warming levels below 2℃ or even 1.5℃ set by Paris Agreement heavily rely on bioenergy with carbon capture and storage(BECCS),which can remove carbon dioxide in the atmosphere and achie...
详细信息
The targets of limiting global warming levels below 2℃ or even 1.5℃ set by Paris Agreement heavily rely on bioenergy with carbon capture and storage(BECCS),which can remove carbon dioxide in the atmosphere and achieve net zero greenhouse gas(GHG)*** and coal co-firing with CCS is one of BECCS technologies,as well as a pathway to achieve low carbon transformation and upgrading through retrofitting coal power ***,few studies have considered co-firing ratio of biomass to coal based on each specific coal power plant's characteristic information such as location,installed capacity,resources allocation and logistic ***,there is a need to understand whether it is worth retrofitting any individual coal power plant for the benefit of GHG emissions *** is also important to understand which power plant is suitable for retrofit and the associated co-firing *** order to fulfill this gap,this paper develops a framework to solve these questions,which mainly include three ***,biomass resources are assessed at 1-km spatial resolution with the help of RS-GIS ***,by setting biomass collection points and linear program model,resource allocation and supply chain for each power plants are ***,assessing the life-cycle emission for each power *** this study,Hubei Province in China is taken as the research area and study *** main conclusions are as follows:(1)biomass co-firing ratio for each CCS coal power plant to achieve carbon neutral is between 40%~50%;(2)lower co-firing ratio sometimes may obtain better carbon emission reduction benefits;(3)even the same installed capacity power plants should consider differentiated retrofit strategy according to their own *** on the results and analysis above,retrofit suggestions for each power plant are made in the discussion.
Geosynchronous Spaceborne-Airborne Bistatic multichannel SAR (GEO-SABM SAR) maintains the fine temporal sampling and wide coverage characteristics of monostatic GEO SAR. But due to the PRF of GEO platform is very low,...
ISBN:
(数字)9781728123455
ISBN:
(纸本)9781728123462
Geosynchronous Spaceborne-Airborne Bistatic multichannel SAR (GEO-SABM SAR) maintains the fine temporal sampling and wide coverage characteristics of monostatic GEO SAR. But due to the PRF of GEO platform is very low, azimuth spectrum aliasing (ASA) will occur in GEO-SABM SAR which will make a moving target divided into several sub-targets. In this paper, a location method for ground moving target with ASA has given. From the simulation results, the moving target can be discriminated and located.
Recently,ion beam is proposed to be a powerful way to modify the properties of *** study the mechanical properties of copper nanowires irradiated with swift heavy ions by molecular dynamics *** Cu nanowires are irradi...
详细信息
Recently,ion beam is proposed to be a powerful way to modify the properties of *** study the mechanical properties of copper nanowires irradiated with swift heavy ions by molecular dynamics *** Cu nanowires are irradiated with Cu ions with energies ranging from 0.2 to 8.0 keV,and both the
In this study, we present a middleware-based approach for detecting anomalies in distributed systems. Our method facilitates the dynamic collection of logs at various levels of detail and incorporates an a priori dict...
In this study, we present a middleware-based approach for detecting anomalies in distributed systems. Our method facilitates the dynamic collection of logs at various levels of detail and incorporates an a priori dictionary-based compression strategy to process and transmit logs, minimizing the performance impact on distributed systems. Additionally, we utilize a dual feature fusion technique to analyze the logs. We evaluate the effectiveness of our approach by performing anomaly detection in a publish/subscribe distributed system and comparing it with existing methods. The results illustrate that our method outperforms other approaches, demonstrating superior performance.
Travel time parameters obtained from road traffic sensors data play an important role in traffic management practice. In this paper, a travel time analysis and prediction model was established for urban road traffic s...
详细信息
Travel time parameters obtained from road traffic sensors data play an important role in traffic management practice. In this paper, a travel time analysis and prediction model was established for urban road traffic sensors data based on the change point analysis algorithm and ARIMA model. Firstly, time series of travel time parameters were clustered by using change point mining algorithm after traffic sensors data preprocessing. Then, a travel time prediction model was established based on ARIMA model. Finally, the model was verified with high accuracy through simulation by using multiple sets of data and analysis of its practicability was done.
Generating high-quality and diverse human images presents a substantial difficulty within the field of computer vision, especially in developing controllable generative models that can utilize input from various modal...
详细信息
Image captioning aims to automatically generate a natural language description of a given image, and most state-ofthe-art models have adopted an encoder-decoder framework. The framework consists of a convolution neura...
详细信息
Visual Question Answering (VQA) requires a finegrained and simultaneous understanding of both the visual content of images and the textual content of questions. Therefore, designing an effective 'co-attention'...
详细信息
ISBN:
(纸本)9781728132945
Visual Question Answering (VQA) requires a finegrained and simultaneous understanding of both the visual content of images and the textual content of questions. Therefore, designing an effective 'co-attention' model to associate key words in questions with key objects in images is central to VQA performance. So far, most successful attempts at co-attention learning have been achieved by using shallow models, and deep co-attention models show little improvement over their shallow counterparts. In this paper, we propose a deep Modular Co-Attention Network (MCAN) that consists of Modular Co-Attention (MCA) layers cascaded in depth. Each MCA layer models the self-attention of questions and images, as well as the question-guided-attention of images jointly using a modular composition of two basic attention units. We quantitatively and qualitatively evaluate MCAN on the benchmark VQA-v2 dataset and conduct extensive ablation studies to explore the reasons behind MCAN's effectiveness. Experimental results demonstrate that MCAN significantly outperforms the previous state-of-the-art. Our best single model delivers 70.63% overall accuracy on the test-dev set.
Previous researches have well demonstrated the importance of costly punishment for promoting the evolution of cooperation, while it remains unconsidered sides about the punishment. Recent evidences highlight that puni...
详细信息
Previous researches have well demonstrated the importance of costly punishment for promoting the evolution of cooperation, while it remains unconsidered sides about the punishment. Recent evidences highlight that punishment cannot promote cooperation when punishment can be targeted at cooperators. In this paper, we study the evolutionary process of cooperation in the well-mixed population when the presence of antisocial punishment. Here cooperator can optionally adopt an insurance strategy which incurs an extra cost to resist the threat of antisocial punishment, and she will obtain compensation when being punished by antisocial punisher in the future. With this strategy, cooperators can opportunistically adjust their behavior, which makes cooperators evolve advantageously, and improve individuals' average payoff in population.
In visual relationship detection, human-notated relationships can be regarded as determinate relationships. However, there are still large amount of unlabeled data, such as object pairs with less significant relations...
详细信息
暂无评论