Motion planning and control for mobile robot navigation using machine learning: a survey

Autonomous Robots - Moving in complex environments is an essential capability of intelligent mobile robots. Decades of research and engineering have been dedicated to developing sophisticated...     

Extending the information delivery manual approach to identify information requirements for performance analysis of HVAC systems

Heating, Ventilation and Air-Conditioning (HVAC) systems account for more than 15% of the total energy consumption in the US. In order to improve the energy efficiency of HVAC systems, researchers have developed hundreds of algorithms to automatically analyze their performance. However, the complex information, such as configurations of HVAC systems, layouts and materials of building elements and dynamic data from the control systems, required by these algorithms inhibits the process of deploying them in real-world facilities. To address this challenge, we envision a framework that automatically integrates the required information items and provides them to the performance analysis algorithms for HVAC systems. This paper presents an approach to identify and document the information requirements from the publications that describe these algorithms. We extend the Information Delivery Manual (IDM) approach so that the identified information requirements can be mapped to multiple information sources that use various formats and schemas. This paper presents the extensions to the IDM approach and the results of using it to identify information requirements for performance analysis algorithms of HVAC systems.     

Developing Dementia Prevalence Rates Among Latinos: A Locally-Attuned, Data-Based, Service Planning Tool

The prevalence of Alzheimer’s disease and associated disorders (ADAD) determines the level of need for ADAD services. Since services need to be made available locally, therefore local—rather than national—prevalence levels are instrumental in guiding services to meet these emerging needs. This study employed a three-stage methodology to establish Latino ADAD prevalence estimates within San Diego and Imperial Counties in California for the period 2000–2050. The first stage involved the development of a working algorithm for the ADAD estimates combining existing demographic data with small-scale prevalence data from recent clinical studies of ADAD among Latinos. Results from this algorithm projected an 1,123 % increase of ADAD impacted Latinos in San Diego County and 1,213 % in Imperial County by 2050. Stage two encompassed examining the face validity and efficacy of these projections at the local provider level through focus groups. This stage confirmed the findings that a large sector of the local Latino ADAD community had a profile of lower education and socioeconomic status, more traditional cultural orientations, and high rates of diabetes mellitus and vascular disease which resulted in earlier onset of ADAD. The third stage in the methodology employed a 36-month observational window tracking the impact of the local ADAD prevalence estimates on various programs. The authors of this study argue for the efficacy, and external validity of the methodology employed to define local ADAD prevalence rates for other ethnic groups. This knowledge will promote local communities in developing culturally competent services for their own diverse local service areas based on local estimates.     

Investigation of the mechanical and thermal fatigue properties of hybrid sol–gel coatings applied to AA2024 substrates

This research article reports on the response of various hybrid sol–gel materials when applied as coatings to pre-treated bare AA2024 substrates, to mechanical indentation and cyclic thermal stimuli, in order to determine their usefulness in aeronautical applications. Three groups of hybrid sol–gel-coated samples were prepared using various organosilanes and transition metal oxides. The characterization of the materials revealed that the presence of the organic functionalities, especially the methacrylate group, has a noticeable effect on the mechanical response of the hybrid coatings, in particular their flexibility. The presence of methacrylate group in the cured material gives it ability to flex which influenced the thermal fatigue characteristics of the coatings which are able to withstand the cyclic temperature regimes of 82 ± 3 to ?37 ± 3°C over 25 2 h cycles. This capability to maintain substrate protection is reflected in the corrosion resistance of the coatings as measured using electrochemical impedance spectroscopy and accelerated exposure testing. This result is important, as it shows that hybrid sol–gel materials can be used in applications where protecting a metal or ally substrate is paramount, especially in thermally volatile environments.     

A New Era of Minimal Effects? A Response to Bennett and Iyengar

This article takes up Bennett and Iyengar's (2008) call for debate about the future of political communication effects research. We outline 4 key criticisms. First, Bennett and Iyengar are too quick to dismiss the importance of attitude reinforcement, long recognized as an important type of political media influence. Second, the authors take too narrow a view of the sources of political information, remaining fixated on news. Third, they offer an incomplete portrayal of selective exposure, exaggerating the extent to which individuals avoid attitude-discrepant information. Finally, they lean toward determinism when describing the role technologies play in shaping our political environment. In addition, we challenge Bennett and Iyengar's assertion that only brand new theory can serve to help researchers understand today's political communication landscape. We argue that existing tools, notably the Elaboration Likelihood Model (ELM), retain much utility for examining political media effects. Contrary to Bennett and Iyengar's claims, the ELM suggests that the contemporary political information environment does not necessarily lead to minimal effects.     

Undermining the Corrective Effects of Media‐Based Political Fact Checking? The Role of Contextual Cues and Naïve Theory

Media‐based fact checking contributes to more accurate political knowledge, but its corrective effects are limited. We argue that biographical information included in a corrective message, which is often unrelated to the inaccurate claim itself, can activate misperception‐congruent naïve theories, increasing confidence in a misperception's plausibility and inducing skepticism toward denials. Resistance to corrections occurs regardless of initial belief accuracy, but the effect is strongest among those who find the contextual information objectionable or threatening. We test these claims using an online survey‐embedded experiment (N = 750) conducted in the wake of the controversy over the proposed Islamic cultural center in New York City near the site of the 9/11 attacks, and find support for our predictions. Theoretical and practical implications are discussed.     

The nature of the blue species formed when 1,1-diphenylethylene chemisorbs and reacts on acidic solids

The blue species obtained when 1,1-diphenylethylene chemisorbs on highly acidic solids arises from a very minor dimerization reaction where a less stable canonical form of the initial carbenium ion adds to Φ₂C=CH₂ (Φ=phenyl). Proton loss followed by H^- ion abstraction from the resulting olefin then affords a highly conjugated ion as the blue species. This revised version was published online in July 2006 with corrections to the Cover Date.