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... Appropriate coordination among multiple power components is essential to improve energy efficiency, traffic safety and driving comfort simultaneously for hybrid electric vehicles. Previous methods for these multiobjective co-optimization issues, on the other hand, may result in misleading optimization when the vehicle is driven in complicated and varied scenarios. To overcome these limitations, th ...
... Various front-of-pack food labels (FoPLs) are being introduced across the world, and discussion continues about the most effective label formats to improve consumers’ (i) understanding of the relative healthiness of alternative products and (ii) product choices. Of increasing interest is the relative ability of different types of labels to steer consumers away from unhealthy options (aversion) ver ...
traffic, etc ; climate; data collection; economic sustainability; education; energy; microplastics; temperature; China; Show all 9 Subjects
Abstract:
... Little information is available on different contribution of TMPs from tire wear particles (TWPs), recycled tire crumbs (RTCs) and tire repair-polished Debris (TRDs) in the environment at national scale and their potential tendency. In this study, the TWPs were predicted using machine learning method of CNN (Convolutional Neural Networks) algorithms under different potential socioeconomic and clim ...
Rachel B. Acton; Vicki L. Rynard; Jean Adams; Jasmin Bhawra; Adrian J. Cameron; Alejandra Contreras-Manzano; Rachel E. Davis; Alejandra Jáuregui; Gary Sacks; James F. Thrasher; Lana Vanderlee; Christine M. White; David Hammond
traffic, etc ; appetite; cross-sectional studies; food policy; guidelines; nutrition; Australia; Canada; Mexico; Show all 9 Subjects
Abstract:
... Few studies have compared the effects of different front-of-package label (FOPL) systems in the ‘real world’. This study assessed adults’ awareness, use and understanding of nutrition facts labels (NFLs) and nationally implemented FOPLs such as Health Star Ratings (HSR), Traffic lights, and Guideline Daily Amounts (GDAs) in five countries, including before and after implementation of Mexico’s warn ...
traffic, etc ; air pollution; air quality; meteorology; nitrogen dioxide; particulates; urban areas; urbanization; China; Show all 9 Subjects
Abstract:
... Traditional air quality data have a spatial resolution of 1 km or above, making it challenging to resolve detailed air pollution exposure in complex urban areas. Combining urban morphology, dynamic traffic emission, regional and local meteorology, physicochemical transformations in air quality models using big data fusion technology, an ultra-fine resolution modeling system was developed to provid ...
traffic, etc ; air quality; cultural heritage; ecosystems; environment; models; public transportation; recreation; supply balance; surveys; urbanization; Lithuania; Show all 12 Subjects
Abstract:
... This work aims to map and assess the recreational culture ecosystem services (CES) supply and demand in Vilnius. A novel framework individually assessed natural recreational CES supply and cultural recreational CES supply dimensions. So far, the previous works did not consider both CES components individually. Also, the validation of CES models is scarce and challenging. This work aims to map and ...
traffic, etc ; aerosols; air; air pollutants; air temperature; carbon; environment; equations; nitric oxide; ozone; summer; surface area; temporal variation; turbulent flow; wind; Finland; Show all 16 Subjects
Abstract:
... Urban air pollutant concentrations are highly variable both in space and time. In order to understand these variabilities high-resolution measurements of air pollutants are needed. Here we present results of a mobile laboratory and a drone measurements made within a street-canyon network in Helsinki, Finland, in summer and winter 2017. The mobile laboratory measured the total number concentration ...
... Synthetic fibers released from sewage sludge and tire particles released from traffic are among the most common types of microplastics in soil. In soil, microplastics may interact with chemicals, such as plant protection products used in agriculture. Most studies on the interactions of microplastics and chemicals focused on aquatic environments and only few addressed soil arthropods. To increase t ...
... The currently increasing integration of electric vehicles (EVs) in microgrids (MGs) has gained significant attention. However, affected by the high uncertainties of weather, traffic, and driver behavior, the charging demand of EVs is difficult to forecast accurately. In this study, an optimal parameter forecasting method is presented to improve the forecasting accuracy of charging demand of EVs in ...
... The navigational channel leading to Haldia Dock Complex suffers heavy sedimentation causing gradual reduction of water depth and posing inconvenience for marine traffic movements. To overcome this problem, Kolkata Port Trust (KoPT) undertook a long-term maintenance dredging plan for the achievement of desirable navigable depths. Trailing Suction Hopper Dredgers (TSHD) of Dredging Corporation of In ...
... Recently, the Internet has adopted the DNS over HTTPS (DoH) resolution mechanism for privacy-aware network applications. As DoH becomes more disseminated, it has also become a network monitoring research topic. For comprehensive evaluation and comparison of developed classifiers, real-world datasets are needed, motivating this contribution. We created a new large-scale collection of datasets consi ...
... We present a dataset that captures seven days of monitoring data from eight servers hosting more than 800 sites across a large campus network. The dataset contains data from network monitoring and host-based monitoring. The first set of data are packet traces collected by a probe situated on the network link in front of the web servers. The traces contain encrypted HTTP over TLS 1.2 communication ...
... Atmospheric low-visibility events are usually associated with fog formation. Extreme low-visibility events deeply affect the air and ground transportation, airports and motor-road facilities causing accidents and traffic problems every year. Machine Learning (ML) algorithms have been successfully applied to many fog formation and low-visibility prediction problems. The associated problem can be fo ...
... The project reported in this paper has been organized to scrutinize current incident data on near fires and fully developed fires in Norwegian road tunnels longer than 500 m. This length is chosen because it is assumed that shorter tunnels are less critical in case of fires. The project included collecting data and transferring it into formats enabling mathematical modelling. The major issue of th ...
... Owing to the strong complementarity between visible and infra-red thermal (RGB-T) images, the two types of images receive the increased application of vehicle detection in traffic monitoring. Now, how to take full advantage of the two kinds of images for vehicle fusion detection has drawn wide publicity. Nevertheless, due to the requirement of high quality and high precision on vehicle fusion dete ...
... A shift from privately owned vehicles to shared mobility services can affect mobility, energy consumption, and vehicle emissions. Existing literature on ridesharing services has focused on evaluating its traffic and economic impacts. In this study, we propose an integrated framework to analyze the efficiency and environmental benefits of ridesharing on a regional scale. The framework utilizes an a ...
... To improve the performance and efficiency of the energy management strategy used in electric vehicles equipped with a dual-motor coupled powertrain platform, this study proposes a systematic real-time search approach via vehicle-to-cloud (V2C) connectivity to reduce the battery degradation and electrical consumption by control working mode and split torque. To be specific, the Monte Carlo Tree Sea ...
... The data sets and regression models presented here are related to the article “Point and interval estimation of decomposition error in discrete-time open tandem queues” [1]. The data sets are the first to analyze the approximation quality of the discrete-time decomposition approach and contain independent and dependent (explanatory) variables for the analysis of decomposition error, which were obt ...
controlled traffic systems; traffic, etc ; barley; deep tillage; no-tillage; research; sandy loam soils; tires; wheat; Show all 9 Subjects
Abstract:
... This paper reports on a 3 × 3 factorial study to consider the effects of controlled traffic (CTF), low tyre inflation pressure (high flexion) tyres (LTP) and standard tyre inflation pressure (STP) farming systems for deep, shallow and zero tillage practices on the yield of wheat, barley, oats and field beans grown in a sandy loam soil in the UK. The main effect of tillage showed that the zero till ...
... The widespread adoption of encryption in computer network traffic is increasing the difficulty of analyzing such traffic for security purposes. The data set presented in this data article is composed of network statistics computed on captures of TCP flows, originated by executing various network stress and web crawling tools, along with statistics of benign web browsing traffic. Furthermore, this ...