501 research outputs found
Identification of New Patterns in Urban Traffic Flows
No full textTraffic flow pattern identification, as well as anomaly detection, is known to be an important component for traffic operations and control. Alongside classical applications, mainly, to improve the safety and the comfort of drivers, more recently there is a growing interest in gathering personalised route information to provide customised services. With this latter application in mind, in this paper we investigate the ability of simple macroscopic information (i.e., time varying junction turning probabilities) to identify changes in nominal urban traffic flows, most likely due to the occurrence of external events (e.g., road works or traffic congestions). Some preliminary results obtained with the use of a realistic mobility simulator are also illustrated and discussed, and some candidate applications are briefly outlined
Optimal Distributed Consensus Algorithm for Fair V2G Power Dispatch in a Microgrid
No full textAmong the many motivations to encourage the use of Electric Vehicles (EVs) there is the attractive possibility to implement Vehicle-to-Grid (V2G) functionalities. They are attractive both for EV owners, who can sell their own energy to the grid when they do not need to travel, and also for the power grid, as the stored energy can be used to back-up the fluctuating energy produced from renewable sources or to improve the grid stability at critical times. In this paper we illustrate a distributed algorithm that solves the V2G problem in a fair manner, trying to achieve an optimal trade-off between power generation costs and inconvenience to the vehicle owner. Results are shown and discussed for a case study simulated in the OpenDSS power system environmen
Relating quantitative soil structure metrics to saturated hydraulic conductivity
No full textSoil structure affects saturated hydraulic conductivity (Ks) by creating highly conductive macropores that preferentially transmit soil water. In this study, we explore the relationship between Ks and macropores in an Oxyaquic Vertic Argiudoll in northeastern Kansas. Macropores were quantified from an excavation wall using multistripe laser triangulation (MLT) scanning. Soil water contents were measured at four depths within a soil lysimeter installed within 2 meters of the MLT-scanned soil profile and adjacent to an Ameriflux tower monitoring precipitation, air temperature, and solar radiation. Selected hydraulic properties of soil horizons within the lysimeter were optimized to water content data using a Markov chain Monte Carlo technique in combination with the mobile-immobile water (MIM) model in HYDRUS-1D. Estimates of Ks varied between 4198 cm d-1 in the A horizon and 0.6 cm d-1 in a 2Btss2 horizon with strongly expressed wedge structure. Approximately 87% of the variation in Ks was explained by the geometric mean of the widths of pores quantified with the MLT technique and modified by the coefficient of extensibility (COLE). The use of COLE allows the widths of the macropores obtained at dry conditions to be approximated at saturation. Two models that predict Ks from either texture or water retention data resulted in Ks estimates that were similar to each other, but significantly lower than Ks values predicted with MIM in horizons where structural pores dominate water flow. This technique shows a great deal of promise in better understanding and predicting the relationship of soil structure to water flow.Peer reviewe
Smart Procurement of Naturally Generated Energy (SPONGE) for Plug-In Hybrid Electric Buses
No full textWe discuss a recently introduced ECO-driving concept known as smart procurement of naturally generated energy (SPONGE) in the context of plug-in hybrid electric buses. Examples are given to illustrate the benefits of this approach to ECO-driving. Finally, distributed algorithms to realize SPONGE are discussed, paying attention to the privacy implications of the underlying optimization problems
sj-doc-1-tah-10.1177_20406207231189922 – Supplemental material for Anemia is associated with long-term exposure to PM2.5 and its components: a large population-based study in Southwest China
No full textSupplemental material, sj-doc-1-tah-10.1177_20406207231189922 for Anemia is associated with long-term exposure to PM2.5 and its components: a large population-based study in Southwest China by Congyuan He, Linshen Xie, Lingxi Gu, Hongyu Yan, Shiyu Feng, Chunmei Zeng, Wangjiu Danzhen, Xuehui Zhang, Mingming Han, Zhifeng Li, Zhuoma Duoji, Bing Guo, Juying Zhang, Feng Hong and Xing Zhao in Therapeutic Advances in Hematology</p
An intelligent speed advisory system for electric vehicles
No full textIntelligent Transportation Systems (ITS) can be used to involve vehicles and the road infrastructure to cooperatively implement a number of innovative and useful applications. Here, we explore the possibility to adopt a consensus based distributed speed advisory system to determine the optimal recommended speed in urban areas where only electric vehicles are allowed to travel (e.g., in the city centre). The optimality criterion is to maximise the energy efficiency of a fleet of vehicles travelling in the restricted area, and we adopt recently proposed distributed privacy-preserving consensus algorithms to achieve the desired objective
RETRACTED ARTICLE: The value of FGF9 as a novel biomarker in the diagnosis of prostate cancer
No full textWe, the Editors and Publisher of the journal Artificial Cells, Nanomedicine, and Biotechnology, have retracted the following article:Genggang Cui, Mingming Shao, Xingzhou Gu, Hongbo Guo, Shiqing Zhang, Jianlei Lu & Hongbin Ma (2019) The value of FGF9 as a novel biomarker in the diagnosis of prostate cancer. Artificial Cells, Nanomedicine, and Biotechnology, 47:1, 2241–2245, DOI: 10.1080/21691401.2019.1620250It has come to our attention that the full authorship list and affiliations for this manuscript, including the study site and ethics committee, were changed after the article was submitted. We have contacted the authors for an explanation, but we have not received a response within the requested timeframe. As determining authorship and the location of where the research was conducted is core to the integrity of published work, we are therefore retracting the article. The authors listed in this publication have been sent notification.We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’
A Distributed and Privacy-Aware Speed Advisory System for Optimizing Conventional and Electric Vehicle Networks
No full textOne of the key ideas to make intelligent transportation systems work effectively is to deploy advanced communication and cooperative control technologies among vehicles and road infrastructures. In this spirit, we propose a consensus-based distributed speed advisory system that optimally determines a recommended common speed for a given area in order that the group emissions, or group battery consumptions, are minimized. Our algorithms achieve this in a privacy-aware manner; that is, individual vehicles do not reveal in-vehicle information to other vehicles or to infrastructure. A mobility simulator is used to illustrate the efficacy of the algorithm, and hardware-in-the-loop tests involving a real vehicle are given to illustrate user acceptability and ease of deployment
Pedestrian-Aware Engine Management Strategies for Plug-In Hybrid Electric Vehicles
No full textElectric vehicles (EVs) and plug-in hybrid EVs (PHEVs) are increasingly being seen as a means of mitigating the pressing concerns of traffic-related pollution. While hybrid vehicles are usually designed with the objective of minimizing fuel consumption, in this paper we propose a engine management strategies that also consider environmental effects of the vehicles to pedestrians outside of the vehicles. Specifically, we present the optimisation-based engine energy management strategies for PHEVs that attempt to minimize the environmental impact of pedestrians along the route of the vehicle, while taking account of route-dependent uncertainties. We implement the proposed approach in a real PHEV and evaluate the performance in a hardware-in-the-loop platform. A variety of simulation results are given to illustrate the efficacy of our proposed approach
Varieties of alternatives
No full textThis dissertation concerns two focus particles (jiu, dou) and wh-expressions (shenme ‘what’, na geren ‘which person’) in Mandarin Chinese. These items are systematically ‘ambiguous’ and have played important roles in various aspects of Mandarin grammar. An idea based on alternatives and varieties of alternatives in particular – following Chierchia’s 2013 analysis of the polarity system – is pursued to account for the systematic ambiguities. Unambiguous semantics of jiu, dou and wh-expressions is maintained and ‘ambiguity’ explained through varieties of alternatives interacting with other independently motivated aspects of the structure they occur in. A better understanding of a large array of phenomena that involve these items – exhaustivity, distributivity, questions and conditionals – is achieved.Ph.D.Includes bibliographical referencesby Mingming Li
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