Now, there is no standard test method and flow for the performance of Intelligent Connected Vehicle under the complex weather conditions, which has greatly limited the development of Intelligent ...Connected Vehicle. This paper test and study the weather conditions that affect the performance of the on-board sensors, then analyse the weather conditions that affect Intelligent Connected Vehicle, the meteorological factors which affect Intelligent Connected Vehicle performance are obtained. It turns out that different conditions such as rain, fog, snow and light have different influence on the Intelligent Connected Vehicle, which provides the foundation for the performance test of Intelligent Connected Vehicle.
Abstract
Taking copper azide microcharge as research object, PVDF piezoelectric sensor was used to test the detonation pressure of copper azide microcharge and the detonation pressure of titanium ...flyer driven by copper azide microcharge explosion respectively. The effect of titanium flyers on the output performance of copper azide microcharge was investigated. The research results shown that: different microcharge structure parameters affected charge weight, and the charge weight directly affected the output pressure. The output pressure of copper azide microcharge to drive titanium flyer is much greater than the output pressure of copper azide microcharge. Titanium flyer driven by copper azide microcharge explosion, which could play the role of energy gathering and amplification.
Objectives: Descriptive labels of performance test scores are a critical component of communicating outcomes of neuropsychological and psychological evaluations. Yet, no universally accepted system ...exists for assigning qualitative descriptors to scores in specific ranges. In addition, the definition and use of the term "impairment" lacks specificity and consensus. Consequently, test score labels and the denotation of impairment are inconsistently applied by clinicians, creating confusion among consumers of neuropsychological services, including referral sources, trainees, colleagues, and the judicial system. To reduce this confusion, experts in clinical and forensic neuropsychological and psychological assessment convened in a consensus conference at the 2018 Annual Meeting of the American Academy of Clinical Neuropsychology (AACN). The goals of the consensus conference were to recommend (1) a system of qualitative labels to describe results from performance-based tests with normal and non-normal distributions and (2) a definition of impairment and its application in individual case determinations.
Results: The goals of the consensus conference were met resulting in specific recommendations for the application of uniform labels for performance tests and for the definition of impairment, which are described in this paper. In addition, included in this consensus statement is a description of the conference process and the rationales for these recommendations.
Conclusions/Importance: This consensus conference is the first formal attempt by the professional neuropsychological community to make recommendations for uniform performance test score labels and to advance a consistent definition of impairment. Using uniform descriptors and terms will reduce confusion and enhance report comprehensibility by the consumers of our reports as well as our trainees and colleagues.
The gradual popularization and development of new energy electric vehicles brings not only opportunities but also challenges, such as new requirements for the technical analysis of running ...performance test. This paper first describes the evaluation index of the operation performance of electric vehicles, and then, based on the key index factors in the detection test of electric vehicles, analyzes the detection test technology and scheme of the operation performance of electric vehicles.
In order to study the freezing process of dynamic water droplets on the surface of anti-icing coatings, a fluorine based self-assembled superhydrophobic coating was prepared on the surface of 7075 ...aluminum alloy substrate. The variation of the capture rate of dynamic water droplets on the coating surface with the duration of low temperature, surface inclination, and surface temperature was analyzed, and the anti-icing performance of the superhydrophobic coating was further explored. Results showed that the capture rate of water droplets on superhydrophobic surfaces decreased with the prolongation of low temperature duration and the increase of surface inclination angle, and increased with the decrease of surface temperature. At -20 ℃, with a low temperature duration not exceeding 7 min, the superhydrophobic surface could delay the growth rate of ice layers, and the shorter the low temperature duration, the more significant the inhibitory effect of superhydrophobic surfaces on ice layer growth. Besides, in the
Abstract
This paper introduces the safety performance test standards and requirements of forklift overhead guard. According to the requirements of the impact fall test in the standard, an explicit ...dynamic calculation model of the impact of overhead guard under load was established based on the LS-DYNA display central difference method, and the field impact test of the overhead guard designed in this paper was carried out. The results show that the hourglass energy of the impact falling simulation test is less than 5% of the total energy, which conforms to the law of energy conservation, so the simulation model can be considered correct. At the same time, the simulation analysis results are consistent with the field impact falling test results. The connection position of riser and position of base bolting appear failure fracture, and the structural strengthening suggestions are given.
The present research evaluates the efficiency of transesterified Olax scandens oil for bio-additive to petroleum diesel. The extracted Olax oil was degummed and esterified to reduce the acid value ...for the transesterification reaction's suitability. The transesterification process was critically assessed by considering the effect of methanol concentration, reaction time, temperature and alkali concentration on FAME's (Fatty Acid Methyl Esters) yield. The fuel properties have been determined and engine performance tests have been executed for probable usage as bioadditive. The transesterified Olax oil blends showcased better engine performance studies flashed better runtime with load (more than 120% relative performance), lubricating and emission efficiency with lowered CO, CO2, and NOx over the intact petrodiesel.
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•Introduced a new substrate, “Olax Scandens oil,” to the bioadditive market.•Bio-additive developed through the selection of optimal process conditions.•A maximum methyl ester yield of 98% and confirmed by GC-MS.•Physico-chemical properties have been determined and compared with the standards.•Promising engine performance demonstrated the possible entry of new bioadditive.
Abstract SLAC National Accelerator Laboratory has upgraded to LCLS-II, featuring a 4 GeV superconducting linear accelerator composed of 37 cryomodules and two large helium refrigeration systems with ...a cooling capacity of 4 kW at 2.0 K. The LCLS-II Helium Refrigeration System (HRS) consists of two compressor stations, each with a power of approximately 4.5 MW, two 4.5 K cold boxes, each with a power of 18 kW equivalent at 4.5 K, and two sets of cold compressors that can each produce a flow of 230 g/s at 31 mbar (2.0K). Performance tests of the HRS were meticulously planned and successfully carried out, with results demonstrating that it exceeded the process requirements for LCLS-II operations. This paper provides a detailed presentation of the LCLS-II HRS performance and the challenges encountered during the commissioning phase.
Metaheuristic research: a comprehensive survey Hussain, Kashif; Mohd Salleh, Mohd Najib; Cheng, Shi ...
The Artificial intelligence review,
12/2019, Letnik:
52, Številka:
4
Journal Article
Recenzirano
Because of successful implementations and high intensity, metaheuristic research has been extensively reported in literature, which covers algorithms, applications, comparisons, and analysis. Though, ...little has been evidenced on insightful analysis of metaheuristic performance issues, and it is still a “black box” that why certain metaheuristics perform better on specific optimization problems and not as good on others. The performance related analyses performed on algorithms are mostly quantitative via performance validation metrics like mean error, standard deviation, and co-relations have been used. Moreover, the performance tests are often performed on specific benchmark functions—few studies are those which involve real data from scientific or engineering optimization problems. In order to draw a comprehensive picture of metaheuristic research, this paper performs a survey of metaheuristic research in literature which consists of 1222 publications from year 1983 to 2016 (33 years). Based on the collected evidence, this paper addresses four dimensions of metaheuristic research: introduction of new algorithms, modifications and hybrids, comparisons and analysis, and research gaps and future directions. The objective is to highlight potential open questions and critical issues raised in literature. The work provides guidance for future research to be conducted more meaningfully that can serve for the good of this area of research.
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