20 papers · ranked by Valyu relevance
Jeanseong Baik, Jaewoo Lee, Kyungtae Kang, Felipe Jiménez
The interference between software components is increasing in safety-critical domains, such as autonomous driving. Low-criticality (LC) tasks, such as vehicle communication, may control high-criticality (HC) tasks, such as acceleration. In such cases, the LC task should also be considered as an HC task because the HC…
Shangying Guo
This study aims to improve the quality of English teaching in contemporary colleges and universities, so as to cultivate more English translation talents. Taking corpus, English translation, and teaching practice as the main research horizons, this study analyzes the application of master of translation and…
Jianfeng Lu, Y. M. Zhang, Riheng Jia, Shuqin Cao + 2 more
Federated Learning (FL) mitigates privacy leakage in decentralized machine learning by allowing multiple clients to train collaboratively locally. However, dynamic mobile networks with high mobility, intermittent connectivity, and bandwidth limitation severely hinder model updates to the cloud server. Although previous…
Mengjie Liu, Yihua Li, Fangyi Mou, Zhiqing Tang + 3 more
Meta Computing Authors: ['Mengjie Liu' 'Yihua Li' 'Fangyi Mou' 'Zhiqing Tang' 'Jiong Lou' 'Jianxiong Guo' 'Weijia Jia'] Abstract—Meta computing is a new computing paradigm that aims to efficiently utilize all network computing resources to provide fault-tolerant, personalized services with strong security and privacy…
TianZhang He, Adel N. Toosi, Rajkumar Buyya
—By integrating Software-Defined Networking and cloud computing, virtualized networking and computing resources can be dynamically reallocated through live migration of Virtual Machines (VMs). Dynamic resource management such as load balancing and energy-saving policies can request multiple migrations when the…
Hao Wang, Juncai Liu, Changhai Huang, Xuewen Yang + 5 more
'Liangyin Chen' 'Xiaoqing Xing' 'Yuming Jiang' 'Adam Krzyzak'] In the task of image instance segmentation, semi-supervised instance segmentation algorithms have received constant research attention over recent years. Among these algorithms, algorithms based on transfer learning are better than algorithms based on…
TianZhang He, Rajkumar Buyya
Cloud Data Centers have become the backbone infrastructure to provide services. With the emerging edge computing paradigm, computation and networking capabilities have been pushed from clouds to the edge to provide computation, intelligence, networking management with low end-to-end latency. Service migration across…
Linbo Liu, Xinle Liu, Qiang Zhou, Lin Chen + 7 more
'Behrooz Omidvar-Tehrani' 'Xi Shen' 'Jun Huan' 'Omer Tripp' 'Anoop Deoras'] With the rapid advancement of powerful large language models (LLMs) in recent years, a wide range of software engineering tasks can now be addressed using LLMs, significantly enhancing productivity and scalability. Numerous benchmark datasets…
Hai Dinh-Tuan, Felix Beierle
—In the last few years, the proliferation of edge and cloud computing infrastructures as well as the increasing number of mobile devices has facilitated the emergence of many novel applications. However, that increase of complexities also creates novel challenges for service providers, for example, the efficient…
Mohammad Hijji, Bilal Ahmad, Gulzar Alam, Ahmed Alwakeel + 5 more
'Mohammed Alwakeel' 'Lubna Abdulaziz Alharbi' 'Ahd Aljarf' 'Muhammad Umair Khan' 'Sung-Bae Cho'] Currently, researchers are working to contribute to the emerging fields of cloud computing, edge computing, and distributed systems. The major area of interest is to examine and understand their performance. The major…
Amandeep Kaur, Saurabh Kumar, Deepali Gupta, Yasir Hamid + 6 more
'Monia Hamdi' 'Amel Ksibi' 'Hela Elmannai' 'Shilpa Saini' 'Han-Chieh Chao' 'Qiong Wu'] Cloud computing plays an important role in every IT sector. Many tech giants such as Google, Microsoft, and Facebook as deploying their data centres around the world to provide computation and storage services. The customers either…
Vassilis Tsakanikas, Tasos Dagiuklas, Muddesar Iqbal, Xinheng Wang + 1 more
'Shahid Mumtaz'] The developments on next generation IoT sensing devices, with the advances on their low power computational capabilities and high speed networking has led to the introduction of the edge computing paradigm. Within an edge cloud environment, services may generate and consume data locally, without…
Inge M N Wortel, Johannes Textor
Two decades of in vivo imaging have revealed how diverse the shapes and motion patterns of migrating T cells can be. This finding has sparked the notion of “search strategies”: T cells may have evolved ways to search for antigen efficiently and might even adapt their motion to the task at hand. Mathematical models have…
Qing Li, Deshan Perera, Zhishan Chen, Wanqing Wen + 6 more
Machine learning (ML) has proven successful in biological data analysis. However, may require massive training data. To allow broader use of ML in the full spectrum of biology and medicine, including sample-sparse domains, re-directing established models to specific tasks by add-on training via a moderate sample may be…
Emily T. Chan, Travis H. Jones, Cristopher M. Thompson, Hariharan Kannan + 4 more
Cell migration through confined spaces is a critical step in cancer metastasis, yet the spatial regulation of endocytosis and adhesion dynamics during this process remains poorly understood. To address this, we developed a microfluidic platform that generates stable, spatially linear biochemical gradients across 5…
Clarissa Glaser, Manuel Dillenz, Kanchan Sarkar, Mohsen Sotoudeh + 7 more
The magnesium chalcogenide spinel MgSc2Se4 with high Mg-ion room-temperature conductivity has recently attracted interest as solid electrolyte for magnesium ion batteries. Its ionic/electronic mixed-conducting nature and the influence of the spinel composition on the conductivity and Mg2+ migration barrier are yet not…
Kahori Kita, Yue Du, Adrian M. Haith
Studies of cognitive flexibility suggest that switching between different tasks can entail a transient switch cost. Here, we asked whether analogous switch costs exist in the context of switching between different motor skills. We tested whether participants could switch between a newly learned skill associated with a…
Zeyu Deng, Tara P. Mishra, Weihang Xie, Daanyal Ahmed Saeed + 2 more
Understanding ion transport in functional materials is crucial to unravel complex chemical reactions, improve rate per- formance of materials for energy storage and conversion, and optimize catalysts. To model ionic transport, atomistic simulations, including molecular dynamics (MD) and kinetic Monte Carlo (kMC) have…
Authors not listed
A directed-graph model is proposed to describe the concerted ion migration in superionic conductors. Here, each ion hopping during the molecular dynamics simulation is represented as a displacement vector. Multiple hoppings are then timely and spatially connected to reconstruct the concerted ion migration. This enables…
Mohsen Sotoudeh, Axel Gross
Ion mobility in electrolytes and electrodes is a critical factor influencing the performance of batteries. Low ion mobility is for example one of the major factors reducing the range of battery-electric vehicles in winter time. On the other hand, with respect to the ion mobility in battery cathode materials there are…