Random Forests-Based Operational Status Perception Model in Extra-Long Highway Tunnels with Longitudinal Ventilation: A Case Study in China

An increasing number of extra-long highway tunnels have been built and put into operation around the world, but the quantified segmentation criteria for evaluating the in-tunnel operational status have not yet been enacted up till the present moment. Meanwhile, ventilation facilities could not satisfy the dynamic requirements of fresh air demand under fast spatial-temporal variation of traffic conditions and operating environment. In this study, the operational data collected from an extra-long highway tunnel were deeply analyzed using big data technology. By combining traffic flow and environmental monitoring data, a data-driven perception model based on the Random Forests was structured. The prediction results show that the proposed model provides better performances as compared to contrast models, indicating it had better ability to adapt to the dynamic changes of in-tunnel operational status while realizing accurate prediction. The designed intelligent control strategies of ventilation facilities and traffic operation applying for different operational status would provide a theoretical basis and data support for lifting the level of intelligent control as well as promoting energy saving and consumption reducing in extra-long highway tunnels.

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Pollution based real time control strategies for combined sewer systems

Water Science & Technology ◽

10.2166/wst.1997.0688 ◽

1997 ◽

Vol 36 (8-9) ◽

pp. 331-336 ◽

Cited By ~ 8

Author(s):

Gabriela Weinreich ◽

Wolfgang Schilling ◽

Ane Birkely ◽

Tallak Moland

Keyword(s):

Real Time ◽

Control Strategies ◽

Ammonia Nitrogen ◽

Simple Extension ◽

Real Time Control ◽

Time Control ◽

Sewer Systems ◽

Receiving Waters ◽

Tunnel System

This paper presents results from an application of a newly developed simulation tool for pollution based real time control (PBRTC) of urban drainage systems. The Oslo interceptor tunnel is used as a case study. The paper focuses on the reduction of total phosphorus Ptot and ammonia-nitrogen NH4-N overflow loads into the receiving waters by means of optimized operation of the tunnel system. With PBRTC the total reduction of the Ptot load is 48% and of the NH4-N load 51%. Compared to the volume based RTC scenario the reductions are 11% and 15%, respectively. These further reductions could be achieved with a relatively simple extension of the operation strategy.

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Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters

Complexity ◽

10.1155/2020/7501891 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15 ◽

Cited By ~ 12

Author(s):

Tinggui Chen ◽

Shiwen Wu ◽

Jianjun Yang ◽

Guodong Cong ◽

Gongfa Li

Keyword(s):

Road Network ◽

Road Networks ◽

Sudden Onset ◽

The Road ◽

Bee Colony ◽

Proposed Model ◽

Effectiveness And Efficiency ◽

In Transit ◽

Emergency Supply

It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.

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Capturing Transformative Moments in a Participatory Values-Based Event

Journal of Transformative Education ◽

10.1177/1541344621996247 ◽

2021 ◽

pp. 154134462199624

Author(s):

Felix Okechukwu Dike ◽

JohnBosco Chika Chukwuorji

Keyword(s):

Transformative Learning ◽

Learning Outcomes ◽

Study Design ◽

Present Moment ◽

Case Study Design ◽

Fresh Perspective ◽

The Stability

The theory of transformative learning (TL) has been criticized secondhand for its lack of clarity in capturing and explaining in detail the processes undergone by learners who are going through TL experiences and their link to learning outcomes. Using a case study design, and carefully synthesized TL processes (TLPs) from Mezirow’s TL theory, we present—moment by moment—the TLPs linked to outcomes identified among a group of teachers who participated in a values-based workshop. Participants were followed through interviews for over 72 weeks to trace the stability of their TL outcome. TL processes identified were compared to Mezirow’s 10 processes. The article discusses ontological transformations gained and offers fresh perspective to identifying TLPs that can be linked to outcomes.

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Experimental investigation on an energy-efficient floor heating system with intelligent control: A case study in Chengdu, China

Case Studies in Thermal Engineering ◽

10.1016/j.csite.2021.101094 ◽

2021 ◽

pp. 101094

Author(s):

Caibin Jiang ◽

Guo Xie ◽

Dejian Wu ◽

Tiantong Yan ◽

Siliang Chen ◽

...

Keyword(s):

Experimental Investigation ◽

Intelligent Control ◽

Energy Efficient ◽

Heating System ◽

Floor Heating

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nOptimization and Intelligent Control for Operation Parameters of Multiphase Mixture Transportation Pipeline in Oilfield: A Case Study

Journal of Pipeline Science and Engineering ◽

10.1016/j.jpse.2021.07.002 ◽

2021 ◽

Author(s):

Hankun Wang ◽

Yunfei Xu ◽

Bowen Shi ◽

Chaoliang Zhu ◽

Zhihua Wang

Keyword(s):

Intelligent Control ◽

Multiphase Mixture ◽

Operation Parameters

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A New Approach to Inform Restoration and Management Decisions for Sustainable Apiculture

Sustainability ◽

10.3390/su13116109 ◽

2021 ◽

Vol 13 (11) ◽

pp. 6109

Author(s):

Joanne Lee Picknoll ◽

Pieter Poot ◽

Michael Renton

Keyword(s):

Floral Resources ◽

Pollination Services ◽

New Approach ◽

Honey Production ◽

Proposed Model ◽

Colony Loss ◽

Supply Potential ◽

Australian Case ◽

Stocking Rates

Habitat loss has reduced the available resources for apiarists and is a key driver of poor colony health, colony loss, and reduced honey yields. The biggest challenge for apiarists in the future will be meeting increasing demands for pollination services, honey, and other bee products with limited resources. Targeted landscape restoration focusing on high-value or high-yielding forage could ensure adequate floral resources are available to sustain the growing industry. Tools are currently needed to evaluate the likely productivity of potential sites for restoration and inform decisions about plant selections and arrangements and hive stocking rates, movements, and placements. We propose a new approach for designing sites for apiculture, centred on a model of honey production that predicts how changes to plant and hive decisions affect the resource supply, potential for bees to collect resources, consumption of resources by the colonies, and subsequently, amount of honey that may be produced. The proposed model is discussed with reference to existing models, and data input requirements are discussed with reference to an Australian case study area. We conclude that no existing model exactly meets the requirements of our proposed approach, but components of several existing models could be combined to achieve these needs.

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Elastic Averaging in Flexure Mechanisms: A Muliti-Beam Parallelogram Flexure Case-Study

Volume 2: 30th Annual Mechanisms and Robotics Conference, Parts A and B ◽

10.1115/detc2006-99752 ◽

2006 ◽

Cited By ~ 5

Author(s):

Shorya Awtar ◽

Edip Sevincer

Keyword(s):

Mechanism Design ◽

Parametric Model ◽

Nonlinear Load ◽

Geometric Imperfections ◽

Geometric Imperfection ◽

Flexure Mechanism ◽

Important Concern ◽

Proposed Model ◽

Geometric Arrangements

Over-constraint is an important concern in mechanism design because it can lead to a loss in desired mobility. In distributed-compliance flexure mechanisms, this problem is alleviated due to the phenomenon of elastic averaging, thus enabling performance-enhancing geometric arrangements that are otherwise unrealizable. The principle of elastic averaging is illustrated in this paper by means of a multi-beam parallelogram flexure mechanism. In a lumped-compliance configuration, this mechanism is prone to over-constraint in the presence of nominal manufacturing and assembly errors. However, with an increasing degree of distributed-compliance, the mechanism is shown to become more tolerant to such geometric imperfections. The nonlinear load-stiffening and elasto-kinematic effects in the constituent beams have an important role to play in the over-constraint and elastic averaging characteristics of this mechanism. Therefore, a parametric model that incorporates these nonlinearities is utilized in predicting the influence of a representative geometric imperfection on the primary motion stiffness of the mechanism. The proposed model utilizes a beam generalization so that varying degrees of distributed compliance are captured using a single geometric parameter.

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Measuring Performance of a Three-Stage Network Structure Using Data Envelopment Analysis and Nash Bargaining Game: A Supply Chain Application

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622018500426 ◽

2018 ◽

Vol 17 (05) ◽

pp. 1429-1467 ◽

Cited By ~ 1

Author(s):

Mohammad Amirkhan ◽

Hosein Didehkhani ◽

Kaveh Khalili-Damghani ◽

Ashkan Hafezalkotob

Keyword(s):

Supply Chain ◽

Data Envelopment Analysis ◽

Nash Bargaining ◽

Data Envelopment ◽

Second Stage ◽

Proposed Model ◽

Nash Bargaining Game ◽

Dea Models ◽

Overall Efficiency

The issue of efficiency analysis of network and multi-stage systems, as one of the most interesting fields in data envelopment analysis (DEA), has attracted much attention in recent years. A pure serial three-stage (PSTS) process is a specific kind of network in which all the outputs of the first stage are used as the only inputs in the second stage and in addition, all the outputs of the second stage are applied as the only inputs in the third stage. In this paper, a new three-stage DEA model is developed using the concept of three-player Nash bargaining game for PSTS processes. In this model, all of the stages cooperate together to improve the overall efficiency of main decision-making unit (DMU). In contrast to the centralized DEA models, the proposed model of this study provides a unique and fair decomposition of the overall efficiency among all three stages and eliminates probable confusion of centralized models for decomposing the overall efficiency score. Some theoretical aspects of proposed model, including convexity and compactness of feasible region, are discussed. Since the proposed bargaining model is a nonlinear mathematical programming, a heuristic linearization approach is also provided. A numerical example and a real-life case study in supply chain are provided to check the efficacy and applicability of the proposed model. The results of proposed model on both numerical example and real case study are compared with those of existing centralized DEA models in the literature. The comparison reveals the efficacy and suitability of proposed model while the pitfalls of centralized DEA model are also resolved. A comprehensive sensitivity analysis is also conducted on the breakdown point associated with each stage.

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