84 research outputs found
DESIGN OF ASYMMETRIC MULTI-CHANNEL ROUTER FOR HETEROGENEOUS TRAFFIC
No full textWith the spread of the cloud-computing today, local networks have been gradually developed to have better support for cloud applications. For a specific sub-network, different ports may have different requirements. Traditional symmetric router assumes uniformed resource distribution among all ports, overestimating resources needed at some ports. This thesis proposes an innovative Asymmetric Multi-Channel edge router, which supports non-uniformed port distribution based on the clients’ demand.
In this work, the concept of Asymmetric Multi-Channel (AMC) router is introduced, and the architecture of the AMC router is designed. In order to verify the cost saving of the proposed router, a general cost model is developed to provide cost comparison between the traditional symmetric router and the proposed AMC router. A reconfigurable scheduling scheme is proposed, which can achieve constant-time (O(1)) performance with the introduction of pipeline paralleled comparators and updaters. A configuration strategy is proposed for the most suitable resource distribution.Electrical and Computer Engineering, Department o
Late paleozoic to early mesozoic provenance record of paleo-pacific subduction beneath South China
No full textNortheast trending Yong'an Basin, southeast South China Craton, preserves a Permian-Jurassic, marine to continental, siliciclastic-dominated, retroarc foreland basin succession. Modal and detrital zircon data, along with published paleocurrent data, sedimentary facies, and euhedral to subhedral detrital zircon shapes, indicate derivation from multicomponent, nearby sources with input from both the interior of the craton to the northwest and from an inferred arc accretionary complex to the southeast. The detrital zircon U-Pb age spectra range in age from Archean to early Mesozoic, with major age groups at 2000-1700-Ma, 1200-900-Ma, 400-340-Ma, and 300-240-Ma. In addition, Early Jurassic strata include zircon detritus with ages of 200-170-Ma. Regional geological relations suggest that Precambrian and Early Paleozoic detritus was derived from the inland Wuyi Mountain region and Yunkai Massif of the South China Craton. Sources for Middle Paleozoic to early Mesozoic detrital zircons include input from beyond the currently exposed China mainland. Paleogeographic reconstruction in East Asia suggests derivation from an active convergent plate margin along the southeastern rim of the craton that incorporated part of Southwest Japan and is related to the subduction of the Paleo-Pacific Ocean. Integration of the geologic and provenance records of the Yong'an Basin with the time equivalent Yongjiang and Shiwandashan basins that lie to the southwest and south, respectively, provides an integrated record of the subduction of the Paleo-Pacific Ocean along the southeast margin of the South China Craton and termination of subduction of the Paleo-Tethys beneath its southwest margin in Permo-Triassic. Key Points Yong'an Basin, southeast China was a retroarc foreland basin in Permian-Jurassic Accretionary orogenic belt developed along SE margin of SCC in Permian-Jurassic Both Paleo-Tethys and Paleo-Pacific affect the Permian-Triassic event in the SCCPeer reviewe
A Research on the Relationship between Teaching Presence and Online Learners' Basic Psychological Needs
No full textGenesis of the Early Indosinian Darongshan Granitoid in South China: Response to the Subduction of the Eastern Paleo-Tethys Ocean
No full textThe Bangxi–Chenxing suture zone is an essential area from which information about the closure history of the eastern Paleo-Tethys Ocean can be obtained. The Darongshan granitoid, which is adjacent to this suture, lies among the widely distributed granitic rocks and few basic rocks in the southern Guangxi Province. Herein, we report the petrogeochemistry, zircon U–Pb ages, and zircon Hf isotopic data of the Darongshan pluton in this region. The LA-ICP-MS U–Pb zircon analysis indicates that the Darongshan pluton had formed at 249.9±2.6 Ma. The Darongshan granites are silica-rich (SiO2=65.68–72.91 wt%, mean=69.89 wt%) with high Na2O contents (Na2O=0.46–6.58 wt%, mean=3.49), relatively high Mg (Mg#=35.12–73.31, mean=57.73), and an average Fe2O3T+TiO2+MnO+MgO of 4.96. These features are similar to those of the Mg-andesitic/dioritic rock- (MA-) like tonalite–trondhjemite–granodiorites (TTGs). Chemical analyses show that all rocks are enriched in large-ion lithophile elements (Rb, Th, and U) and light rare earth elements, with weak negative Eu anomalies (Eu/Eu∗=0.27–0.67), and Ta, Nb, and Ti depletion, with typical arc-like affinity. The zircon Hf isotopic results show zircon ƐHft values ranging from -18.2 to -7.4 and the TDM2 model ages 1.74–2.41 Ga. The petrogeochemistry and zircon Hf isotopic signatures indicate the magma generation of the Darongshan granitoid with fluid/melt released from the subducted slab and the fluid/melt assimilated and mixed with the mantle peridotite during ascent. Combining previous extant information on Permo–Triassic subduction/collision-related magmatism in the Bangxi–Chenxing with that of the Jinshajiang–Ailaoshan–Song Ma suture zones, the Darongshan granitoid is interpreted as a magmatic formation that was generated in an active continental margin arc environment during the subduction of the Early Indosinian eastern Paleo-Tethys Ocean and the South China Block, further supporting the idea that closure occurred during the Middle–Late Triassic
Digital light processing 3D printing of lightweight Fe3O4/rGO/resin composites with enhanced microwave absorption
Get PDFA Fe3O4/rGO reinforced photocurable resin composite with gyroid structure was firstly fabricated by digital light processing (DLP) 3D printing. The obtained gyroid template was further coated with absorbants and experienced a post-curing treatment for microwave absorption (MA) applications. The minimum reflection loss of the Fe3O4/rGO/resin gyroid composite coated with Fe3O4/rGO nanoparticles reached − 38 dB at 10.8 GHz and a thickness of 2.5 mm, while effective absorption band was 77% in the X-band, exhibiting the best MA performance. The leverage of DLP 3D printing allows for an optimal structure for absorbants coating and increases the opportunity for electromagnetic wave reflection/refraction/transmission. The synergistic effects of hybrid Fe3O4/rGO/resin template coated with Fe3O4/rGO and gyroid structure effectively promote the MA performance and realize the manufacturing of lightweighting composites for future electromagnetic protection applications
3D Single-pixel imaging with active sampling patterns and learning based reconstruction
No full textSingle-pixel imaging (SPI) is significant for applications constrained by transmission bandwidth or lighting band, where 3D SPI can be further realized through capturing signals carrying depth. Sampling strategy and reconstruction algorithm are the key issues of SPI. Traditionally, random patterns are often adopted for sampling, but this blindly passive strategy requires a high sampling rate, and even so, it is difficult to develop a reconstruction algorithm that can maintain higher accuracy and robustness. In this paper, an active strategy is proposed to perform sampling with targeted scanning by designed patterns, from which the spatial information can be easily reordered well. Then, deep learning methods are introduced further to achieve 3D reconstruction, and the ability of deep learning to reconstruct desired information under low sampling rates are analyzed. Abundant experiments verify that our method improves the precision of SPI even if the sampling rate is very low, which has the potential to be extended flexibly in similar systems according to practical needs
Runtime Model based Approach to Using Hybrid PaaS Services
No full textCloud computing has emerged as a new paradigm for services delivering over the Internet. In this growing market, PaaS (Platform-as-a-Service) cloud has been an important model allowing a simple and flexible deployment of applications, without the need for dedicated networks, servers, storage and other services. Many PaaS services have been provided in the past few years and it is required to use hybrid PaaS services in order to satisfy management requirements such as legacy system integration and dynamic resource scaling. However, there are various management interfaces and different management mechanisms among PaaS clouds, which cause great difficulty and high complexity to application deployment in a hybrid cloud. In this paper, we present a runtime model based approach to using hybrid PaaS services. First, the manageability of PaaS services is abstracted as runtime models that are automatically connected with the corresponding systems. Second, we provide a unified model of PaaS services, according to the domain knowledge of current PaaS clouds. Third, the synchronization between the unified model and runtime models is ensured through model transformation. Thus, administrators are able to use hybrid PaaS services in a unified manner and management logic can be also carried out by executing programs on the unified model, which decreases the difficulty and complexity of hybrid cloud management.CPCI-S(ISTP)[email protected]
LMSFA-YOLO: A lightweight target detection network in Remote sensing images based on Multiscale feature fusion
No full textAbstract In aerial target detection tasks, achieving a balance between high detection accuracy and low computational cost remains a key challenge. To address the aforementioned problems, this paper introduces the lightweight multiscale feature fusion and attention-YOLO (LMSFA-YOLO), which is lightweight and accurate for aerial tiny target recognition. Firstly, we propose a lightweight multiscale convolution (LMSConv) and a lightweight multiscale cross-stage partial (LMSCSP). These methods optimize convolutional computation cost and enhance multiscale information extraction, significantly reducing computational cost and parameters, while improving feature representation and fusion without sacrificing accuracy. Subsequently, the mixed local channel attention (MLCA) is combined to create an effective mixed channel attention spatial pyramid pooling (EMCASPP), aiming to simultaneously integrate local and channel space information to enhance the feature fusion ability of the model. To further improve the precision of feature extraction and preserve detailed information, a high-resolution shallow feature layer is applied. Finally, to increase the accuracy of bounding box regression, we introduce ShapeIoU to emphasize the scale and shape of the bounding box, replacing the original IoU. Experimental results demonstrate that LMSFA-YOLO surpasses the baseline YOLOv5s with 35.8% fewer parameters while improving the F1-score and mAP by 5.0% and 7.0% on the VisDrone dataset and by 6.1% and 7.6% on the AI-TOD dataset. Furthermore, it runs in real-time (> 30 FPS) on the Jetson Orin Nano. These results validate the effectiveness of LMSFA-YOLO in achieving high detection performance while reducing computation cost, making it well-suited for deployment on edge devices with limited computational resources
Metamorphic characteristics of the Chenxing metabasite massif in Tunchang area, Hainan Island, South China and its tectonic implication
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