The dynamics of a distributed team today are of particular importance in times of pandemics and wars. The behavioural model of the team and its dynamics throughout the life cycle of the project are considered. The app...
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This paper presents a wireless sensor network employing heterogeneous mobile robot platforms designed for data-acquisition and research in agriculture, forestry and green spaces in smart cities. Where conventional sen...
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Deep Reinforcement Learning has been successfully applied in various applications and achieved impressive performance compared with previous traditional methods but suffers from high computation cost and long training...
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ISBN:
(纸本)9781665473156
Deep Reinforcement Learning has been successfully applied in various applications and achieved impressive performance compared with previous traditional methods but suffers from high computation cost and long training time. MLPerf takes deep reinforcement learning as one of the benchmark tracks and provides a single node training version of MiniGo as a reference. A key challenge is to achieve efficient MiniGo training on a large-scale computing system. According to the training computation pattern in MiniGo and the characteristics of our large-scale heterogeneous computing system, we propose a MultiLevel Parallel strategy, MLPs, including task-level parallelism between nodes, CPU-DSP heterogeneous parallelism, and DSP multi-core parallelism. The proposed method reduces the overall execution time from 43 hours to 16 hours while scaling the node size from 1067 to 4139. The scaling efficiency is 69.1%. According to our fitting method, the scaling efficiency is 46.5% when scaling to 8235 nodes. The experimental results show that the proposed method achieves the efficient training of MiniGo on the largescale heterogeneous computing system.
The proceedings contain 23 papers. The topics discussed include: a novel simulation image generation method based on electromagnetic simulation and CycleGAN;resource-aware time-varying routing for deterministic latenc...
ISBN:
(纸本)9798400709609
The proceedings contain 23 papers. The topics discussed include: a novel simulation image generation method based on electromagnetic simulation and CycleGAN;resource-aware time-varying routing for deterministic latency and throughput optimization;composite detection and tracking of multiple targets based on dynamic programming algorithm;research on receiving technology of all digital broadband hybrid spread spectrum systems;research on time synchronization algorithms for distributed radar systems;an effective routing method of energy-balanced wireless sensor networks for seismic exploration;big data: past, present, and future insights;a novel multi-threaded web crawling model;and a deep reinforcement learning approach for cost optimized workflow scheduling in cloud computing environments.
distributed Ledger Technology (DLT) is a decentralised database architecture that allows multiple participants to have simultaneous access to a constantly updated digital ledger or record of information. This study pr...
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ISBN:
(纸本)9798350387919;9798350387902
distributed Ledger Technology (DLT) is a decentralised database architecture that allows multiple participants to have simultaneous access to a constantly updated digital ledger or record of information. This study presents a systematic literature review using the PRISMA framework to look at the DLT governance models. Six DLT governance models were identified: network, decentralized autonomous organisations, organisational, corporate, managerial, and operational. These models were then assessed based on how each is influenced by the four DLT governance dimensions, economical, political, technological, and social. Seven components of DLT governance were also considered during the evaluation such as stakeholders, participation, accountability, transparency, flexibility, enforcement, and decision-making. The results show that each governance model has a different level of influence from each dimension and a different level of consideration from key DLT governance components. The selection of which model to use depends on the requirements of each organisation and the users of the DLT system. Promoted results can assist organisations and researchers in selecting the best model that fits their requirements and prioritisation of dimensions and each component.
Forest fires pose significant threats to ecosystems and communities globally. This paper explores the development of an automated system for forest fire monitoring and prevention, particularly focusing on regions arou...
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ISBN:
(纸本)9798350357899;9798350357882
Forest fires pose significant threats to ecosystems and communities globally. This paper explores the development of an automated system for forest fire monitoring and prevention, particularly focusing on regions around Northern Thailand. Despite recent applications of Unmanned Aerial Vehicles (UAVs) for fire detection, existing technologies face challenges in detecting early onset of fires in dense forests due to limited resolution and sensitivity of thermal cameras. To address this, this paper proposes a novel approach combining UAV-based surveying with ground-based Internet of Things (IoT) sensors to enable early detection of forest fires, even when obscured by tree canopies. The low-cost IoT sensors measure temperature, humidity and air quality at forest ground level. To overcome limitations in 4G communication for the IoT sensors, our system leverages UAVs as communication hubs to collect data from IoT sensors and survey the area for smoke and fire. The proposed system, part of the FireFly Project in collaboration with Chiang Mai University and the University of Glasgow, aims to overcome limitations of existing technologies and provide effective forest fire monitoring and prevention solutions. Experimental results presented in this paper demonstrate the performance of the distributed UAV-IoT system in detecting and communicating potential forest fires, paving the way for enhanced wildfire management strategies in fire-prone areas.
Forest fire is one of the most common hazards in forests. It not only poses a threat to flora and fauna but to the entire ecology, bio-diversity, and the environment. To prevent any damage from happening, quick action...
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In wireless communications, collaborative spectrum sensing is a process that leverages radio frequency (RF) data from multiple RF sensors to make more informed decisions and lower the overall risk of failure in distri...
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This research presents an overview of the Finite impulse response (FIR) filter architectures that utilize distributed arithmetic design (DAD). This paper reviews non-reconfigurable as well as reconfigurable FIR filter...
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With the development of 5G technology, mobile edge computing (MEC) is becoming a useful architecture, which is envisioned as a cloud extension version. Users within MEC system could save plenty of time on data transmi...
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