Search · four archives
Search · four archives
16 papers · ranked by Valyu relevance
Yohanes Khosiawan, Izabela Nielsen
Research in UAV scheduling has obtained an emerging interest from scientists in the optimization field. When the scheduling itself has established a strong root since the 19th century, works on UAV scheduling in indoor environment has come forth in the latest decade. Several works on scheduling UAV operations in indoor…
Xiaoyao Huang, Bo Lei, Guoliang Ji, Baoxian Zhang + 1 more
Mobile edge computing has been an important computing paradigm for providing delay-sensitive and computation-intensive services to mobile users. In this paper, we study the problem of the joint optimization of task assignment and energy management in a mobile-server-assisted edge computing network, where mobile servers…
Simon Hunt, Qinggang Meng, Chris Hinde, Tingwen Huang
This paper looks at consensus algorithms for agent cooperation with unmanned aerial vehicles. The foundation is the consensus-based bundle algorithm, which is extended to allow multi-agent tasks requiring agents to cooperate in completing individual tasks. Inspiration is taken from the cognitive behaviours of eusocial…
Yaozhong Zhang, Wencheng Feng, Guoqing Shi, Frank Jiang + 2 more
'Morshed Chowdhury' 'Sai Ho Ling'] To solve the real-time complex mission-planning problem for Multiple heterogeneous Unmanned Aerial Vehicles (UAVs) in the dynamic environments, this paper addresses a new approach by effectively adapting the Consensus-Based Bundle Algorithms (CBBA) under the constraints of task…
Behdad Khoshbin, Puneeth Damodar, Rupali R. Garje, Frank H. Schotanus + 6 more
Single particle cryo-electron microscopy (cryo-EM) has revolutionized structural biology by enabling high-resolution determination of macromolecular structures. However, the field faces challenges in data management, processing workflow integration, and software extensibility. We present Magellon, an innovative cryo-EM…
Xiaocan Wu, Yu-E Sun, He Huang, Yang Du + 1 more
Crowdsensing has emerged as an efficient and inexpensive way to perform specialized tasks by leveraging external crowds. In some crowdsensing systems, different tasks may have different requirements, and there may be precedence constraints among them, such as the Unmanned Aerial Vehicle (UAV) crowdsensing systems.…
Peng Cheng, Xun Jian, Lei Chen
Recently, with the rapid development of mobile devices and the crowdsourcing platforms, the spatial crowdsourcing has attracted much attention from the database community. Specifically, spatial crowdsourcing refers to sending a location-based request to workers according to their positions, and workers need to…
Shahad Alqefari, Mohamed El Bachir Menai, Fernando José Aguilar
In the rapidly evolving field of aerial robotics, the coordinated management of multiple unmanned aerial vehicle (multi-UAV) systems to address complex and dynamic environments is increasingly critical. Multi-UAV systems promise enhanced efficiency and effectiveness in various applications, from disaster response to…
Syed Arshad Ali, Samiya Khan, Mansaf Alam
— Resource allocation (RA) is a significant aspect in Cloud Computing, which facilitates the Cloud resources to Cloud consumers as a metered service. The Cloud resource manager is responsible to assign available resources to the tasks for execution in an effective way that improves system performance, reduce response…
Raveena Prasad, Aarush Roy, Suchi Kumari
—Assigning tasks efficiently in cloud computing is a challenging problem and is considered an NP-hard problem. Many researchers have used metaheuristic algorithms to solve it, but these often struggle to handle dynamic workloads and explore all possible options effectively. Therefore, this paper presents a new hybrid…
Authors not listed
This paper presents GLAS (Git-based Lab Automated Scheduler or Get Lab Automation Simplified), an open-source, robust, and highly expandable Git-based architecture designed for laboratory automation. GLAS can be deployed in both partially and fully automated experimental science laboratories, enabling the development…
Brian T. Kraus, Diana Perez, Zach Ladwig, Benjamin A. Seitzman + 3 more
Recent work has demonstrated that individual-specific variations in functional networks can be reliably identified in individuals using functional magnetic resonance imaging (fMRI). These individual differences in functional connectivity have been termed network variants and exhibit reliability across time with…
WeiWei Du, XiaoWei Chen
As task diversity and inter-task relationship complexity grow, optimal formation power allocation is key to improving task execution efficiency. This paper proposes a task optimization allocation method with multiple groups collaboration, constructing a task network based on analysis of task static characteristics and…
Saeid Alirezazadeh, Luı́s A. Alexandre
A scheduling method in a robotic network cloud system with minimal makespan is beneficial as the system can complete all the tasks assigned to it in the fastest way. Robotic network cloud systems can be translated into graphs where nodes represent hardware with independent computing power and edges represent data…
Yiren Li, Tieke Li, Pei Shen, Liang Hao + 5 more
'Yufei Song' 'Liang Bao' 'Chi-Hua Chen'] Microservice-based Web Systems (MWS), which provide a fundamental infrastructure for constructing large-scale cloud-based Web applications, are designed as a set of independent, small and modular microservices implementing individual tasks and communicating with messages. This…
Kai Li, Yong Wang, Meilin Liu
Cloud computing is a newly emerging distributed system which is evolved from Grid computing. Task scheduling is the core research of cloud computing which studies how to allocate the tasks among the physical nodes, so that the tasks can get a balanced allocation or each task's execution cost decreases to the minimum…