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Drones ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 125
Author(s):  
Timofey Filkin ◽  
Natalia Sliusar ◽  
Marco Ritzkowski ◽  
Marion Huber-Humer

This study justifies the prospect of using aerial imagery from unmanned aerial vehicles (UAVs) for technological monitoring and operational control of municipal solid waste landfills. It presents the results of surveys (aerial imagery) of a number of Russian landfills, which were carried out using low-cost drones equipped with standard RGB cameras. In the processing of aerial photographs, both photogrammetric data processing algorithms (for constructing orthophotoplans of objects and 3D modeling) and procedures for thematic interpretation of photo images were used. Thematic interpretation was carried out based on lists of requirements for the operating landfills (the lists were compiled on the basis of current legislative acts). Thus, this article proposes framework guidelines for the complex technological monitoring of landfills using relatively simple means of remote control. It shows that compliance with most of the basic requirements for landfill operations, which are listed in both Russian and foreign regulation, can be controlled by unmanned aerial imagery. Thus, all of the main technological operations involving waste at landfills (placement, compaction, intermediate isolation) are able to be controlled remotely; as well as compliance with most of the design and planning requirements associated with the presence and serviceability of certain engineering systems and structures (collection systems for leachate and surface wastewater, etc.); and the state of the landfill body. Cases where the compliance with operating standards cannot be monitored remotely are also considered. It discusses the advantages of air imagery in comparison with space imagery (detail of images, operational efficiency), as well as in comparison with ground inspections (speed, personnel safety). It is shown that in many cases, interpreting the obtained aerial photographs for technological monitoring tasks does not require special image processing and can be performed visually. Based on the analysis of the available world experience, as well as the results of the study, it was concluded that unmanned aerial imagery has great potential for solving problems of waste landfill management.


2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Jordan Kraemer

For many cosmopolitan urban Germans and Europeans in Berlin in the late 2000s, social media platforms were a site where gender and class were enacted through articulations of emergent nerd masculinity or hip, ironic femininity. But these platforms, such as Facebook or Pinterest, encoded normative assumptions about masculinity and femininity in their visual and interaction design, excluding women and acceptable femininity as subjects of technological expertise. Sites that presented themselves as neutral spaces for connection and interaction, like Twitter or Facebook, instantiated gendered understandings of technology that rendered public space implicitly masculine, white, and middle class. Visually based sites like Pinterest and Etsy, in contrast, were marked as domains of feminine domesticity, representing not only a shift to visual communication but to visual modes of interaction that structured gender online. Although many young people resisted hegemonic notions of gender, their social media practices stabilized their class status as aspiring urban cosmopolitans. In this article, I consider how gender and class stabilized temporarily through material-semiotic engagements with technology interfaces.


2021 ◽  
Author(s):  
Elham Fijani ◽  
Khabat Khosravi ◽  
Rahim Barzegar ◽  
John Quilty ◽  
Jan Adamowski ◽  
...  

Abstract Random Tree (RT) and Iterative Classifier Optimizer (ICO) based on Alternating Model Tree (AMT) regressor machine learning (ML) algorithms coupled with Bagging (BA) or Additive Regression (AR) hybrid algorithms were applied to forecasting multistep ahead (up to three months) Lake Superior and Lake Michigan water level (WL). Partial autocorrelation (PACF) of each lake’s WL time series estimated the most important lag times — up to five months in both lakes — as potential inputs. The WL time series data was partitioned into training (from 1918 to 1988) and testing (from 1989 to 2018) for model building and evaluation, respectively. Developed algorithms were validated through statistically and visually based metric using testing data. Although both hybrid ensemble algorithms improved individual ML algorithms’ performance, the BA algorithm outperformed the AR algorithm. As a novel model in forecasting problems, the ICO algorithm was shown to have great potential in generating robust multistep lake WL forecasts.


Behaviour ◽  
2021 ◽  
pp. 1-23
Author(s):  
Gordon M. Burghardt ◽  
Adam M. Partin ◽  
Harry E. Pepper ◽  
Jordan M. Steele ◽  
Samuel M. Liske ◽  
...  

Abstract Although self-recognition or self-awareness has been studied with the visually-based mirror test, passed by several species, primarily apes, the possibility of a chemically-based analogue is controversial. Prior studies suggested that chemical self-recognition may occur in some squamate reptiles. To evaluate this possibility, we studied 24 individually housed gartersnakes, Thamnophis sirtalis, raised from birth on either earthworm or fish diets and tested 12 male and 12 female snakes with cage liners that were either clean, their own, or from same-sex siblings fed their own or the opposite diet. Tongue flicking and activity were recorded in 30-minute video-recorded trials in a balanced design. After initial habituation to the stimuli, male, but not female, snakes discriminated between their own stimuli and those from littermates fed the same diet. Combined with other data and studies, the possibility that a chemical ‘mirror’ form of self-recognition exists in squamate reptiles is supported.


Author(s):  
Emily Namey ◽  
Greg Guest ◽  
Amy O’Regan ◽  
Christine L. Godwin ◽  
Jamilah Taylor ◽  
...  

AbstractFocus groups (FGs) and individual interviews (IDIs) can be conducted in-person or in several different online contexts. We conducted a quasi-experimental study and assessed sharing of sensitive or dissenting information and participant comfort in FGs and IDIs across four modalities: (1) in-person, (2) online video-based, (3) online chat-based (synchronous), and (4) online email/message board-based (asynchronous). Participants were systematically assigned to one of the four modalities and randomized to one of 24 FGs or 48 IDIs (N = 171). The study topic was medical risk during pregnancy. All participants also completed a survey on their perceptions of the data collection process. We found no significant difference in the frequency of disclosure of sensitive information by modality. Text-based FGs (chat and message board) were more likely to contain dissenting opinions than visually-based FGs (in-person and video). Participants also reported feeling less rapport and personal comfort in sharing information in the FG video modality than other modalities. These findings provide initial data that can guide researchers in choosing among data collection modalities to maximize participant engagement and comfort.


2021 ◽  
pp. 147387162110388
Author(s):  
Mohammad Alharbi ◽  
Matthew Roach ◽  
Tom Cheesman ◽  
Robert S Laramee

In general, Natural Language Processing (NLP) algorithms exhibit black-box behavior. Users input text and output are provided with no explanation of how the results are obtained. In order to increase understanding and trust, users value transparent processing which may explain derived results and enable understanding of the underlying routines. Many approaches take an opaque approach by default when designing NLP tools and do not incorporate a means to steer and manipulate the intermediate NLP steps. We present an interactive, customizable, visual framework that enables users to observe and participate in the NLP pipeline processes, explicitly manipulate the parameters of each step, and explore the result visually based on user preferences. The visible NLP (VNLP) pipeline design is then applied to a text similarity application to demonstrate the utility and advantages of a visible and transparent NLP pipeline in supporting users to understand and justify both the process and results. We also report feedback on our framework from a modern languages expert.


2021 ◽  
Vol 13 ◽  
Author(s):  
Nattawan Utoomprurkporn ◽  
Joshua Stott ◽  
Sergi G. Costafreda ◽  
Courtney North ◽  
Mary Heatley ◽  
...  

ObjectivesThis research aims to validate a modified visually based Montreal Cognitive Assessment for hearing-aid users (MoCA-HA). This population should be the target of cognitive screening due to high risk of developing dementia.DesignCase-control study.SettingThe participants were recruited from referral hearing-aid center and memory clinic in central London, United Kingdom.Participant75 hearing-aid users were recruited. Of these, thirty were cognitively intact controls with hearing impairment (NC-HI); thirty had mild cognitive impairment with hearing impairment (MCI-HI); fifteen had dementia with hearing impairment (D-HI).MeasurementsThe baseline characteristics and analysis of the MoCA-HA for the NC-HI were recorded. The MoCA-HA performance of the MCI-HI cohort and D-HI cohort were also studied.ResultsThe cutpoint of <26 yields 93.3% sensitivity with 80% specificity in distinguishing MCI-HI from NC-HI. The specificity increased to 95.6% in screening for all cognitive impairment (MCI-HI and D-HI) from NC-HI.ConclusionThe MoCA-HA has been validated with a cutpoint which is comparable to the traditional MoCA. This tool may help clinicians to early identify older adult hearing-aid users for appropriate cognitive evaluation.


2021 ◽  
Vol 1 ◽  
pp. 125
Author(s):  
E. Emory Davis ◽  
Barbara Landau

Young children can reason about direct and indirect visual information, but fully mapping this understanding to linguistic forms encoding the two knowledge sources appears to come later in development. In English, perception verbs with small clause complements ('I saw something happen') report direct perception of an event, while perception verbs with sentential complements ('I saw that something happened') can report inferences about an event. In two experiments, we ask when 4-9-year-old English-speaking children have linked the conceptual distinction between direct perception and inference to different complements expressing this distinction. We find that, unlike older children or adults, 4-6-year-olds do not recognize that see with a sentential complement can report visually-based inference, even when syntactic and contextual cues make inference interpretations highly salient. These results suggest a prolonged developmental trajectory for learning how the syntax of perception verbs like see maps to their semantics.


2021 ◽  
Author(s):  
Chipp Jansen ◽  
◽  
Elizabeth Sklar ◽  
Keyword(s):  

2021 ◽  
Vol 8 ◽  
Author(s):  
Samantha L. Steinke ◽  
Julia B. Montgomery ◽  
John M. Barden

Quantitative tracking of equine movement during stall confinement has the potential to detect subtle changes in mobility due to injury. These changes may warn of potential complications, providing vital information to direct rehabilitation protocols. Inertial measurement units (IMUs) are readily available and easily attached to a limb or surcingle to objectively record step count in horses. The objectives of this study were: (1) to compare IMU-based step counts to a visually-based criterion measure (video) for three different types of movements in a stall environment, and (2) to compare three different sensor positions to determine the ideal location on the horse to assess movement. An IMU was attached at the withers, right forelimb and hindlimb of six horses to assess free-movement, circles, and figure-eights recorded in 5 min intervals and to determine the best location, through analysis of all three axes of the triaxial accelerometer, for step count during stall confinement. Mean step count difference, absolute error (%) and intraclass correlation coefficients (ICCs) were determined to assess the sensor's ability to track steps compared to the criterion measure. When comparing sensor location for all movement conditions, the right-forelimb vertical-axis produced the best results (ICC = 1.0, % error = 6.8, mean step count difference = 1.3) followed closely by the right-hindlimb (ICC = 0.999, % error = 15.2, mean step count difference = 1.8). Limitations included the small number of horse participants and the lack of random selection due to limited availability and accessibility. Overall, the findings demonstrate excellent levels of agreement between the IMU's vertical axis and the video-based criterion at the forelimb and hindlimb locations for all movement conditions.


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