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Cost-effective resource segmentation in hierarchical mobile edge clouds Special Feature on Future Network-Research Article

Ming-shuang JIN, Shuai GAO, Hong-bin LUO, Hong-ke ZHANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1209-1220 doi: 10.1631/FITEE.1800203

Abstract: The fifth-generation (5G) network cloudification enables third parties to deploy their applications (e.g., edge caching and edge computing) at the network edge. Many previous works have focused on specific service strategies (e.g., cache placement strategy and vCPU provision strategy) for edge applications from the perspective of a certain third party by maximizing its benefit. However, there is no literature that focuses on how to efficiently allocate resources from the perspective of a mobile network operator, taking the different deployment requirements of all third parties into consideration. In this paper, we address the problem by formulating an optimization problem, which minimizes the total deployment cost of all third parties. To capture the deployment requirements of the third parties, the applications that they want to deploy are classified into two types, namely, computation-intensive ones and storage-intensive ones, whose requirements are considered as input parameters or constraints in the optimization. Due to the NP-hardness and non-convexity of the formulated problem, we have designed an elitist genetic algorithm that converges to the global optimum to solve it. Extensive simulations have been conducted to illustrate the feasibility and effectiveness of the proposed algorithm.

Keywords： Edge clouds     Edge computing     Edge caching     Resource segmentation     Virtual machine (VM) allocation    

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Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: This paper utilizes three popular semantic segmentation networks, specifically DeepLab v3+, fully convolutionalThis paper also analyzes the segmentation strategies of the three networks in terms of feature map visualization

Keywords： slope damage     image recognition     semantic segmentation     feature map     visualizations    

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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: An algorithm based on deep semantic segmentation called LC-DeepLab is proposed for detecting the trendsThe proposed method addresses the low accuracy of tunnel crack segmentation and the slow detection speedfusion module that extracts crack features across pixels is designed to improve the edges of crack segmentationFour classic semantic segmentation algorithms (fully convolutional network, pyramid scene parsing networkThe LC-DeepLab can achieve a real-time segmentation of 416 × 416 × 3 defect images with 46.98 f/s and

Keywords： tunnel engineering     crack segmentation     fast detection     DeepLabv3+     feature fusion     attention mechanism    

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Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm

Keywords： multi-color space     k-nearest neighbor algorithm (k-NN)     self-learning     surge test    

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Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: this paper, a large-scale underwater crack examination method is proposed based on image stitching and segmentationthan Fully convolutional networks (FCN), proving that GCN has great potential of application in image segmentation

Keywords： underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

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Use of float consumption rate in resource leveling of construction projects

Atilla DAMCI, Gul POLAT, Firat Dogu AKIN, Harun TURKOGLU

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 135-147 doi: 10.1007/s42524-020-0118-0

Abstract: Inefficiency in managing resources may bring about severe delays and cost overruns caused by resourceResource leveling is one of the approaches that are used for the management of resources.It aims to minimize fluctuations, peaks, and valleys in resource utilization without changing the completionAlthough the main principle behind traditional resource leveling is achieving an even flow of resourcesThe model is demonstrated by constructing a network and its resource utilization histograms.

Keywords： resource management     resource leveling     float consumption rate     scheduling    

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Vascular segmentation of neuroimages based on a prior shape and local statistics Research Articles

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1099-1108 doi: 10.1631/FITEE.1800129

Abstract: However, most of the vessel segmentation techniques ignore the existence of the isolated and redundantpoints in the segmentation results.In this study, we propose a vascular segmentation method based on a prior shape and local statistics.

Keywords： Vesselness filter     Neighborhood     Blood-vessel segmentation     Outlier    

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Interactive image segmentation with a regression based ensemble learning paradigm Article

Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 1002-1020 doi: 10.1631/FITEE.1601401

Abstract: To achieve fine segmentation of complex natural images, people often resort to an interactive segmentationHowever, when the foreground and background share some similar areas in color, the fine segmentationThis paper presents a novel interactive image segmentation method via a regression-based ensemble modeland semi-supervised learning is proposed to assist the training of MARS and TPSR by using the region segmentationFinally, the GraphCut is introduced and combined with the SVR ensemble results to achieve image segmentation

Keywords： Interactive image segmentation     Multivariate adaptive regression splines (MARS)     Ensemble learning     Thin-plate    

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Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1332-1348 doi: 10.1631/FITEE.2200299

Abstract: Interactive medical image segmentation based on human-in-the-loop machine learning is a novel paradigmthat draws on human expert knowledge to assist medical image segmentation.To better use the interaction information at various timescales, we propose an interactive segmentationframework, called interactive MEdical image segmentation with self-adaptive Confidence CAlibration (Numerical experiments on different segmentation tasks show that MECCA can significantly improve short

Keywords： Medical image segmentation     Interactive segmentation     Multi-agent reinforcement learning     Confidence learning    

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A literature review of perishable medical resource management

Frontiers of Engineering Management   Pages 710-726 doi: 10.1007/s42524-023-0278-9

Abstract: In recent decades, healthcare providers have faced mounting pressure to effectively manage highly perishable and limited medical resources. This article offers a comprehensive review of supply chain management pertaining to such resources, which include transplantable organs and healthcare products. The review encompasses 93 publications from 1990 to 2022, illustrating a discernible upward trajectory in annual publications. The surveyed literature is categorized into three levels: Strategic, tactical, and operational. Key problem attributes and methodologies are analyzed through the assessment of pertinent publications for each problem level. Furthermore, research on service innovation, decision analytics, and supply chain resilience elucidates potential areas for future research.

Keywords： perishable medical resources     organ transplant     healthcare products     decision analytics     operations management    

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Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography Article

Jia-yin SONG,Wen-long SONG,Jian-ping HUANG,Liang-kuan ZHU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 741-749 doi: 10.1631/FITEE.1601169

Abstract: In this study, our main focus was on using circular image region segmentation, which is the basis ofOn this basis, we proposed a segmentation method for the circular region in a forest canopy hemisphere

Keywords： Fisheye lens     Least squares method     Image segmentation     Ecology in image processing     Hemispherical photography    

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China Launched the First Wastewater Resource Recovery Factory in Yixing

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 1, doi: 10.1007/s11783-021-1496-1

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The Integration Model of Closed-Loop Supply Chain Resource Allocation Considering Remanufacturing

Xiao-qiu Shi,Yan-yan Li,Wei Long

Frontiers of Engineering Management 2016, Volume 3, Issue 2,   Pages 132-135 doi: 10.15302/J-FEM-2016026

Abstract: Logistics resource planning is an integration model of materials requirement planning and distributionresource planning which is a resource allocation technology.It is a technology of satisfying both production material supply and resource allocation optimizationWe focus on integration resource allocation model of materials requirement planning and distributionresource planning considering remanufacturing.

Keywords： remanufacturing     supply chain     reverse logistics     resource allocation     integration model    

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Impacts of building information modeling (BIM) implementation on design and construction performance: a resource

Dongping CAO, Heng LI, Guangbin WANG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 20-34 doi: 10.15302/J-FEM-2017010

Abstract: Drawing on resource dependence theory, this paper develops and empirically tests a model for understandingthe different roles played by designers and general contractors in BIM-enabled interorganizational resourceThe findings validate the resource dependence theory perspective of BIM as a boundary spanning tool tomanage interorganizational resource dependence in construction projects, and contribute to deepened

Keywords： building information modeling     interorganizational collaboration     construction project performance     resource    

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“NEW” resource recovery from wastewater using bioelectrochemical systems: Moving forward with functions

Akshay Jain, Zhen He

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 4, doi: 10.1007/s11783-018-1052-9

Abstract:

Resource recovery from wastewater is a key function of bioelectrochemical

Keywords： Bioelectrochemical systems     Resource recovery     Wastewater treatment     Energy     Nutrients    

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Title Author Date Type Operation

Cost-effective resource segmentation in hierarchical mobile edge clouds

Ming-shuang JIN, Shuai GAO, Hong-bin LUO, Hong-ke ZHANG

Journal Article

Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Journal Article

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Journal Article

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network

Wenxuan CAO; Junjie LI

Journal Article

Use of float consumption rate in resource leveling of construction projects

Atilla DAMCI, Gul POLAT, Firat Dogu AKIN, Harun TURKOGLU

Journal Article

Vascular segmentation of neuroimages based on a prior shape and local statistics

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

Journal Article

Interactive image segmentation with a regression based ensemble learning paradigm

Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU

Journal Article

Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Journal Article

A literature review of perishable medical resource management

Journal Article

Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography

Jia-yin SONG,Wen-long SONG,Jian-ping HUANG,Liang-kuan ZHU

Journal Article

China Launched the First Wastewater Resource Recovery Factory in Yixing

Journal Article

The Integration Model of Closed-Loop Supply Chain Resource Allocation Considering Remanufacturing

Xiao-qiu Shi,Yan-yan Li,Wei Long

Journal Article

Impacts of building information modeling (BIM) implementation on design and construction performance: a resource

Dongping CAO, Heng LI, Guangbin WANG

Journal Article

“NEW” resource recovery from wastewater using bioelectrochemical systems: Moving forward with functions

Akshay Jain, Zhen He

Journal Article