With the increasing number of electric vehicles, deploying fixed charging stations (FCSs) has been a widely adopted solution for providing services to EVs. However, requirement EVs being near overload FCSs and/or in areas inadequate infrastructures such as highways and rural will surpass capabilities FCSs. To address this challenge, realized peer-to-peer (P2P) energy trading between vehicles (E...

A canonical wireless communication system consists of a transmitter and receiver. The information bit stream is transmitted after coding, modulation, pulse shaping. Due to the effects radio frequency (RF) impairments, channel fading, noise interference, signal arriving at receiver will be distorted. needs recover original from distorted signal. In this article, we propose new model, namely Deep...

Purpose This paper aims to examine why the sustainability paradox exists and how it unfolds by focusing on intraorganizational dynamics. It explores organizational actors perceive make sense of thereby contribute paradox. Design/methodology/approach In a case study IREN, an Italian listed multi-utility with considerable engagements sustainability, data collection through interviews, e-mails doc...

The concept of a classifier competence is fundamental to multiple classifier systems (MCSs). In this study, a method for calculating the classifier competence is developed using a probabilistic model. In the method, first a randomised reference classifier (RRC) whose class supports are realisations of the random variables with beta probability distributions is constructed. The parameters of the...

In open environments, agents need to reason with knowledge from varioussources, represented in different languages. Multi-Context Systems (MCSs) al-low for the integration of knowledge from different heterogeneous sources in aneffective and modular way. Whereas most knowledge bases (contexts) typicallyconsidered within an MCS are written in some description logic or some non-<lb...

By using a coupled land surface-atmosphere model with initial conditions of varying resolution and ensembles of systematically changed soil moisture, convective-scale simulations of a typical frontal rainstorm in the Yangtze River Basin are collected to investigate: (1) effects of different datasets on the simulated frontal mesoscale convective systems (MCSs); (2) possible linkages between soil...

MOTIVATION The ability to accurately measure structural similarities among small molecules is important for many analysis routines in drug discovery and chemical genomics. Algorithms used for this purpose include fragment-based fingerprint and graph-based maximum common substructure (MCS) methods. MCS approaches provide one of the most accurate similarity measures. However, their rigid matching...

In an opinion paper published in this journal, Funke (2014) argues that two different types of assessment instruments for complex problem solving (CPS), computer-simulated microworlds (CSMs), and minimal complex systems (MCSs), might require different types of causal cognition. CPS denotes the ability to successfully deal with new, intransparent, and dynamically changing problem situations (Fun...

In this study, temperature and pH responsive cationic and amphiphilic pentablock copolymers, which consist of the temperature responsive triblock Pluronic F127 sandwiched between pH responsive PDEAEM (poly(2-diethylaminoethyl methacrylate)) end blocks, were used for the first time in the development of polyplex and gold nanoparticle (AuNP) based multicomponent siRNA delivery systems (MCSs). Cop...

Updating categorical soil maps is necessary for providing current, higher-quality soil data to agricultural and environmental management but may not require a costly thorough field survey because latest legacy maps may only need limited corrections. This study suggests a Markov chain random field (MCRF) sequential cosimulation (Co-MCSS) method for updating categorical soil maps using limited su...