The proceedings contain 15 papers. The topics discussed include: a review of natural language processing technology for Chinese language and literature;effectiveness of transfer learning, convolutional neural network ...
ISBN:
(纸本)9781665472326
The proceedings contain 15 papers. The topics discussed include: a review of natural language processing technology for Chinese language and literature;effectiveness of transfer learning, convolutional neural network and standard machine learning in computer vision assisted bee health assessment;budget in the cloud: analyzing cost and recommending virtual machine workload;application and optimization of long short-term memory in time series forecasting;research and implementation of a tamed spread spectrum system based on Walsh coding;inter-satellite pseudorange difference indoor positioning using simulator pseudolites;hybrid path selection and overall optimization for traffic engineering;a high speed frequency hopping capture synchronization method;analysis and improvement of three kinds of exoskeleton sensors;deep learning for meditation’s impact on brain-computer interface performance;developing a leukemia diagnostic system based on hybrid and ensemble deep learning architectures;and APPly: a design of an online tertiary level scholarship application management system.
The proceedings contain 10 papers. The topics discussed include: a deep reinforcement learning algorithm to project portfolio selection problem;a new model for mortgage loss given default by leveraging time to recover...
ISBN:
(纸本)9798350344752
The proceedings contain 10 papers. The topics discussed include: a deep reinforcement learning algorithm to project portfolio selection problem;a new model for mortgage loss given default by leveraging time to recovery;urban roundabout traffic flow prediction based on GRU with gated recurrent unit structure;interaction effect of knowledge network and collaboration network on breakthrough innovation;introducing a novel dataset for product matching: a new challenge for matching systems;research on broadband fault detection method for 5G network of distributed smart grid based on deep learning;polymorphic cloud application design assisted by open source software classification;an dual-clustering search strategy for evolutionary multi-objective optimization with complicated Pareto sets;and design of intelligent garbage picking and sorting robot in park.
Due to the increasing popularity of cloudcomputing, the cost companies pay to use the cloud and its services are growing significantly. Higher costs of cloudcomputing technology contribute to the volatility of the c...
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ISBN:
(纸本)9781665472326
Due to the increasing popularity of cloudcomputing, the cost companies pay to use the cloud and its services are growing significantly. Higher costs of cloudcomputing technology contribute to the volatility of the cloud and the financial instability of companies that depend on the cloud. Companies have their own unique cloud budget, and staying within that budget can become problematic in light of increasing costs. To save cost, many cloud users look to their cloud provider rather than looking at their own cloud purchases. A lack of studies on cloud users' virtual machine (VM) workload and how cloud users spend money necessitates analysis of the spending of cloud customers. In this research paper, we analyzed a real-world data set from Microsoft Azure collected in 2019 that includes approximately 2.7 million VM traces. We developed a linear regression based pricing model to calculate the cost and used this model to analyze Microsoft Azure's VM workload by comparing the cores, memory, lifetime, average utilization, and cost of each trace. By analyzing Microsoft's data, we observed that users are not fully utilizing the cloud resources they have paid for. With this idea in mind, we then quantified the waste and developed an algorithm to determine which VMs are the most ineffective. We applied our algorithm to Microsoft Azure's data set, and our results show that our algorithm discovered over one million wasteful VMs and helped 6,600 users save $3.3 million dollars. Even though cloudcomputing prices are increasing, cloud customers can save significantly by understanding VM workload better and selecting better-fitting VMs.
Project construction and development are an important part of the development of any large organization. The most critical issue for decision-makers is how to select the right projects from the large number of candida...
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Due to the innovation and development of network technologies, many services and applications have emerged with diversified requirements. Therefore, network operators need to dynamically select paths with different Se...
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ISBN:
(纸本)9781665472326
Due to the innovation and development of network technologies, many services and applications have emerged with diversified requirements. Therefore, network operators need to dynamically select paths with different Service Level Agreements (SLAs) to satisfy the services and applications. Traditional path selection algorithms mainly deal with single routing criterion, which is insufficient in this context. In addition, network operators need to optimize the traffic distribution of all flows with limited network resources. In this paper, we propose a method of hybrid path selection for individual flows and overall optimization for all the flows. In our method, we use different algorithms to find paths for two types of traffic, SLA-required traffic and background traffic. The paths for SLA-required traffic are selected based on multi criteria such as delay, cost, and availability, and that for background traffic are based on K shortest paths (KSP) regarding one criterion. Moreover, we consider optimization of the overall objective and determine the bandwidth allocation on the selected paths by linear programming and a greedy algorithm. Specifically, we consider a typical traffic engineering scenario: minimizing the maximal link utilization. The results show that our method is better than Equal Cost Multi-Path with KSP in terms of the amount of satisfactory SLA-required flows and minimization of maximal link utilization.
To alleviate the problem of traffic congestion, accurately estimate the future transportation mode of the roundabout, and deal with its existent problems of periodic characteristics of traffic flow and short-Term high...
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After the leakage of downhole tubing in gas wells, the annular space pressure between tubing and casing will be caused, which poses a certain threat to the safe production of gas wells. In this paper, the problem of d...
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The proceedings contain 9 papers. The topics discussed include: performance analysis of different task scheduling algorithms in cloudcomputing under dynamic environment;Pacloud: towards a universal cloud-based Linux ...
The proceedings contain 9 papers. The topics discussed include: performance analysis of different task scheduling algorithms in cloudcomputing under dynamic environment;Pacloud: towards a universal cloud-based Linux package manager;real-time IaaS cost model and estimation results for cloud PC laboratory service;a short-term ECG signal classification method based on residual network and bi-directional LSTM;transforming control-flow patterns of YAWL to Petri Nets;applying system dynamics to model advanced persistent threats;wireless network enabled rice black bug traps with meteorological wind sensory system and intelligent trap distance detection using IoT technology;an IoT architecture for smart rice monitoring;and the PCA algorithm in digital holographic microscopy under structured illumination.
Recently, the rapid development of 5G trusted communication technology has greatly contributed to economic and social progress, greatly improving production efficiency. However, the rapidly developing 5G communication...
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