Simultaneous localisation and mapping in a complex field environment

2016 ◽  
Vol 150 ◽  
pp. 160-169 ◽  
Author(s):  
Peter Lepej ◽  
Jurij Rakun
Keyword(s):  
Complex Field ◽  
Field Environment

Research on the Test Methods of Electronic Voltage Transformer under Complex Field Environment

2014 ◽  
Vol 568-570 ◽  
pp. 478-482
Author(s):  
Hua Yun Yang
Keyword(s):  
Field Test ◽  
High Voltage ◽  
Test Methods ◽  
Complex Field ◽  
Voltage Transformer ◽  
Test Environment ◽  
Basic Principles ◽  
Field Calibration ◽  
Field Environment ◽  
Calibration Methods

EVT (electronic voltage transformer) is one of the key devices of the intelligent substation. This paper introduces the basic principles of EVT error tests. By analyzing the test environment of EVT with GIS structure, this paper establishes the high-voltage side equivalent circuit for the field EVT calibration methods and proposes to carry out field boost for the EVT with GIS structure, which could effectively improve the field calibration efficiency of EVT. Based on the research on the complex field environment of EVT, this paper puts forward the field test methods of EVT with AIS structure and the results show the effectiveness and correctness of this study.

scholarly journals Testosterone induces a conditioned place preference to the nest of a monogamous mouse under field conditions

2021 ◽  
Author(s):  
Radmila Petric ◽  
Matina C. Kalcounis-Rueppell ◽  
Catherine A. Marler
Keyword(s):  
Social Interactions ◽  
Nest Site ◽  
Complex Field ◽  
Female Partners ◽  
Peromyscus Californicus ◽  
Field Environment ◽  
In The Wild ◽  
Conditioned Place Preferences ◽  
Place Preferences ◽  
Field Setting

AbstractTransient increases in testosterone (T-pulses) occur after social interactions in males of various vertebrate species, but the functions of T-pulses are poorly understood. Under laboratory conditions, the rewarding nature of T-pulses induces conditioned place preferences (CPPs), but what are the effects in a complex field environment? We present the first evidence that T-pulses administered to males at their nest site in the wild increased time spent at the nest regardless of pup presence in the monogamous, biparental, and territorial California mouse (Peromyscus californicus). Female partners of the T-males, in turn, spent less time at the nest. Independent of treatment, mice produced more ultrasonic vocalizations (USVs) when alone, but T-mice produced more USVs than controls. T-males produced USVs with a smaller bandwidth that likely traveled farther. Our combined results provide compelling evidence that T-pulses can significantly shift the behavioral focus and location of individuals in a complex field setting.

scholarly journals Northern Maize Leaf Blight Detection Under Complex Field Environment Based on Deep Learning

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 33679-33688 ◽  
Author(s):  
Jun Sun ◽  
Yu Yang ◽  
Xiaofei He ◽  
Xiaohong Wu
Keyword(s):  
Deep Learning ◽  
Leaf Blight ◽  
Complex Field ◽  
Maize Leaf ◽  
Field Environment

Identifying Patterns in Complex Field Data

2017 ◽  
Vol 225 (3) ◽  
pp. 268-284 ◽  
Author(s):  
Andrew J. White ◽  
Dieter Kleinböhl ◽  
Thomas Lang ◽  
Alfons O. Hamm ◽  
Alexander L. Gerlach ◽  
...  
Keyword(s):  
Heart Rate ◽  
Panic Disorder ◽  
Latent Class ◽  
Treatment Protocol ◽  
Situational Factors ◽  
Self Report ◽  
Complex Field ◽  
Cluster Assignment ◽  
Experimental Conditions ◽  
Conventional Analysis

Abstract. Ambulatory assessment methods are well suited to examine how patients with panic disorder and agoraphobia (PD/A) undertake situational exposure. But under complex field conditions of a complex treatment protocol, the variability of data can be so high that conventional analytic approaches based on group averages inadequately describe individual variability. To understand how fear responses change throughout exposure, we aimed to demonstrate the incremental value of sorting HR responses (an index of fear) prior to applying averaging procedures. As part of their panic treatment, 85 patients with PD/A completed a total of 233 bus exposure exercises. Heart rate (HR), global positioning system (GPS) location, and self-report data were collected. Patients were randomized to one of two active treatment conditions (standard exposure or fear-augmented exposure) and completed multiple exposures in four consecutive exposure sessions. We used latent class cluster analysis (CA) to cluster heart rate (HR) responses collected at the start of bus exposure exercises (5 min long, centered on bus boarding). Intra-individual patterns of assignment across exposure repetitions were examined to explore the relative influence of individual and situational factors on HR responses. The association between response types and panic disorder symptoms was determined by examining how clusters were related to self-reported anxiety, concordance between HR and self-report measures, and bodily symptom tolerance. These analyses were contrasted with a conventional analysis based on averages across experimental conditions. HR responses were sorted according to form and level criteria and yielded nine clusters, seven of which were interpretable. Cluster assignment was not stable across sessions or treatment condition. Clusters characterized by a low absolute HR level that slowly decayed corresponded with low self-reported anxiety and greater self-rated tolerance of bodily symptoms. Inconsistent individual factors influenced HR responses less than situational factors. Applying clustering can help to extend the conventional analysis of highly variable data collected in the field. We discuss the merits of this approach and reasons for the non-stereotypical pattern of cluster assignment across exposures.

Usability Testing for Rapid Fielding with Small Ns: Lessons Learned during an Army Operational Field Experiment

2007 ◽  
Vol 51 (26) ◽  
pp. 1622-1626
Author(s):  
Pamela A. Savage-Knepshield
Keyword(s):  
Human Factors ◽  
Lessons Learned ◽  
Advanced Technology ◽  
Institutional Review Boards ◽  
Iterative Design ◽  
Field Environment ◽  
Institutional Review ◽  
Qualitative Feedback ◽  
Usability Feedback ◽  
Survey Instrument Development

The Army's acquisition process is transforming to meet the needs of a force that must be agile, adaptive, and responsive to asymmetric threats. Advanced capabilities and technologies, which are urgently needed to enable rapid response to evolving military needs, are being developed and pushed out to troops at unprecedented rates. As a result, not all systems have undergone an iterative design process, received usability feedback from their target users, or had design support from human factors engineers to ensure that unit and Soldier considerations have been addressed. Subsequently, these systems may possess characteristics that induce high cognitive workload, fatigue, detectability, or trigger events that lead to fratricide. When human factors engineers encounter a system that has not derived these benefits, they too must become more agile, adaptive, and responsive to ensure that Soldier feedback is collected and that serious issues are identified and resolved before the system makes its way to the battlefield. Lessons learned while participating in advanced technology and experimentation programs include techniques that facilitate working with small Ns, institutional review boards, rapid survey instrument development, and the collection of qualitative feedback as well as the importance of having a “usability tool kit” available to facilitate data collection efforts in an operational field environment.

ROOT-SURFACE MYCOFLORA OF SOYBEAN IN RELATION TO SOIL TEMPERATURE AND MOISTURE IN A FIELD ENVIRONMENT

1972 ◽  
Vol 52 (2) ◽  
pp. 199-208 ◽  
Author(s):  
K. C. IVARSON ◽  
A. R. MACK
Keyword(s):  
Soil Temperature ◽  
Relative Frequency ◽  
Incubation Temperature ◽  
Growing Season ◽  
Root Surface ◽  
Growing Seasons ◽  
Field Environment ◽  
Abundant Genus ◽  
Field Plots ◽  
Soil Temperature And Moisture

Studies were made on the root-surface fungi of soybean grown in field plots where various soil temperature and moisture environments had been maintained for five previous growing seasons. Washed-root segments were incubated on agar plates at temperatures corresponding to those of the field plots. Fusarium was the most abundant genus appearing on the plates. Species of Mucor, Trichoderma, Alternaria, Mortierella, Aspergillus, Corynespora, Rhizoctonia, Penicillium, Gliocladium, and sterile forms appeared fairly frequently. Statistical analysis of the data revealed that changes in soil and incubation temperature markedly affected the relative frequency of 12 genera, and age of plant significantly affected nine genera. Soil moisture influenced the frequency of only one genus. High soil and incubation temperature (28 C) encouraged greater root populations of Rhizoctonia early in the season, Trichoderma and Aspergillus throughout the growing season, and Fusarium late in the season. Low soil temperature conditions (12 C) favored growth of Pythium, Mortierella, Mucor, Alternaria, Cladosporium, throughout the growing season, and Corynespora and Cylindrocarpon, primarily during mid-season. Late in the season Gliocladium preferred the intermediate temperature of 20 C.

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