The Model of Digital Cartographic Layers of Different Scales to Calculate the Ratios of Cartographic Generalizations: An Applied Study to Anah City

The research aims to give an accurate perception of the role of modern technologies, represented by geographic information systems, in extracting data and information, and then building a geographical database for urban land uses in an Ana city to reach generalized models based on the source map with a scale of 1/5000 and then building generalized models through The application of digital generalization elements according to the different standards adopted in the research (1/10000, 1/25000, 1/50000, 1/100000) in order to reach the end to the best results in the cartographic production of these models in a way that facilitates the process of understanding and perception by finding The most appropriate way to represent this data on a map according For the functional importance of each of the uses through disposal to eliminate overlap between uses Depending on the generalization elements of selecting, deleting, simplifying, smoothing, coding and exaggeration, and finally, as The research showed that there is a difference in the areas, uses and preparation of methods when moving from one scale to another. the research concluded by building a three-dimensional model to simulate the natural process of generalizing digital cartography according to different scales.

Deep Learning-Based Maritime Environment Segmentation for Unmanned Surface Vehicles Using Superpixel Algorithms

Unmanned surface vehicles (USVs) are receiving increasing attention in recent years from both academia and industry. To make a high-level autonomy for USVs, the environment situational awareness is a key capability. However, due to the richness of the features in marine environments, as well as the complexity of the environment influenced by sun glare and sea fog, the development of a reliable situational awareness system remains a challenging problem that requires further studies. This paper, therefore, proposes a new deep semantic segmentation model together with a Simple Linear Iterative Clustering (SLIC) algorithm, for an accurate perception for various maritime environments. More specifically, powered by the SLIC algorithm, the new segmentation model can achieve refined results around obstacle edges and improved accuracy for water surface obstacle segmentation. The overall structure of the new model employs an encoder–decoder layout, and a superpixel refinement is embedded before final outputs. Three publicly available maritime image datasets are used in this paper to train and validate the segmentation model. The final output demonstrates that the proposed model can provide accurate results for obstacle segmentation.

What characteristics of recasts facilitate accurate perception when overheard by true beginners?

In this study, 118 native speakers of Japanese watched 48 separate video clips in which a teacher provided recasts on phonological or lexical errors to students in Portuguese, a language with which the participants were unfamiliar. In the video clips, six recast characteristics were manipulated: length, segmentation (segmented/whole), prosodic emphasis (stressed/non-stressed), intonation (declarative/interrogative), head movements (nodding/shaking), and gestures (beat/deictic/metaphoric). Participants judged whether or not the teacher had corrected errors and stated the reasons for their decisions. Multiple regressions extracted segmentation and gestures as being significant variables for both phonological and lexical errors. Precisely speaking, recasts were more likely to be accurately perceived as correction when they were provided in sentence-length discourse along with deictic gestures. Additionally, head-shaking and beat also contributed to improved accuracy of phonological errors. The analysis of their reasoning indicates that the participants actively compared errors with recasts when judging the presence of a recast. The overall results indicate that contrary to the common belief suggesting that shorter recasts are better than longer ones, when true beginners overhear recasts, they may find it easier to notice the corrections when they are provided in sentence-length discourse; as such recasts facilitate more accurate perceptions.

Role of the Dorsal Posterior Parietal Cortex in the Accurate Perception of Object Magnitude in Peripheral Vision

Following superior parietal lobule and intraparietal sulcus (SPL-IPS) damage, optic ataxia patients underestimate the distance of objects in the ataxic visual field such that they produce hypometric pointing errors. The metrics of these pointing errors relative to visual target eccentricity fit the cortical magnification of central vision. The SPL-IPS would therefore implement an active “peripheral magnification” to match the real metrics of the environment for accurate action. We further hypothesized that this active compensation of the central magnification by the SPL-IPS contributes to actual object’ size perception in peripheral vision. Three optic ataxia patients and 10 age-matched controls were assessed in comparing the thickness of two rectangles flashed simultaneously, one in central and another in peripheral vision. The bilateral optic ataxia patient exhibited exaggerated underestimation bias and uncertainty compared to the control group in both visual fields. The two unilateral optic ataxia patients exhibited a pathological asymmetry between visual fields: size perception performance was affected in their contralesional peripheral visual field compared to their healthy side. These results demonstrate that the SPL-IPS contributes to accurate size perception in peripheral vision.

Application of three-dimensional vision perception technology to industrial robots

The three-dimensional vision system can improve the active perception ability of the robot, and then guide its flexible operation. This system has been widely used in industrial production processes, such as disorderly sorting, assembly, flexible welding, and defect detection. In sorting, assembly and other applications, accurate perception in a complex and changeable industrial environment is essential. Moreover, the control and other operations should be completed under the guidance of feedback information based on the collected three-dimensional perception results. Nonetheless, improvements are still required, such as accurate three-dimensional detection and positioning of work-in-progress and autonomous guidance in a complicated industrial context with continuous changes.

Accurate Perception of Rock Strata Movement for Environmental Protection in Coal Mining: Taking Thick and Hard Roof Cooperative Control as an Example

Accurate perception of the key stratum instability can improve the safety of coal mining and also provide a basis for alleviating overlying rock strata destruction and environmental disturbance. To efficiently evaluate the instability of the key stratum and its threat to safe mining and environmental protection, the fracture characteristics and weakening mechanisms were studied through physical simulation, theoretical analysis, and field measurement. A scheme and the parameters of confined blasting in water-filled deep hole presplit technology (CBWDHPT) for thick and hard roof (THR) weakening were proposed. Research studies showed that, after the THR fractured into large blocks, the subsequent sliding instability induced serious support-crushing accidents; however, increasing the support strength could only provide limited control. Confined water and infiltrated modified rock mass functioned as the transfer load medium of the explosives, and the CBWDHPT fully utilized high explosion energy to break rocks. Consequently, the collapse and filling of the immediate roof and low-positioned THR, as well as the timely cutting off the middle-positioned THR, could be realized, which alleviated the migration space of THR blocks, overlying strata destruction, and earth-surface step subsidence. Finally, the environmentally friendly strategy (including the CBWDHPT and hydraulic support optimization) for overlying rock strata protection was proposed. In the industrial test, the THR was broken into blocks of different sizes after utilizing the CBWDHPT, and the support working resistance was significantly decreased. It was concluded that the environmentally friendly strategy could effectively reduce the risk of overlying rock strata destruction.

The Multidimensional Battery of Prosody Perception (MBOPP)

Prosody can be defined as the rhythm and intonation patterns spanning words, phrases and sentences. Accurate perception of prosody is an important component of many aspects of language processing, such as parsing grammatical structures, recognizing words, and determining where emphasis may be placed. Prosody perception is important for language acquisition and can be impaired in language-related developmental disorders. However, existing assessments of prosodic perception suffer from some shortcomings. These include being unsuitable for use with typically developing adults due to ceiling effects and failing to allow the investigator to distinguish the unique contributions of individual acoustic features such as pitch and temporal cues. Here we present the Multi-Dimensional Battery of Prosody Perception (MBOPP), a novel tool for the assessment of prosody perception. It consists of two subtests: Linguistic Focus, which measures the ability to hear emphasis or sentential stress, and Phrase Boundaries, which measures the ability to hear where in a compound sentence one phrase ends, and another begins. Perception of individual acoustic dimensions (Pitch and Duration) can be examined separately, and test difficulty can be precisely calibrated by the experimenter because stimuli were created using a continuous voice morph space. We present validation analyses from a sample of 59 individuals and discuss how the battery might be deployed to examine perception of prosody in various populations.

Investigating the prevention and mitigatory role of risk communication in the COVID-19 pandemic: A case study of Bloemfontein, South Africa

The South African disaster response activities surpass risk reduction since the implementation of the Disaster Management Act 57 of 2002 (DMA) and the National Disaster Management Framework of 2005 (NDMF). Risk reduction, in particular risk communication, remained unexploited until the occurrence of coronavirus disease 2019 (COVID-19) pandemic. The legislation and policy mandate a proactive approach for disaster management, requiring a focus on disaster risk reduction. Therefore, this study aimed to assess the significance of risk communication as a critical prevention and mitigatory strategy in disaster risk management, focusing on the COVID-19 pandemic. Key to risk communication success is ensuring adequate comprehension, accurate perception of the disseminated information, and compliance with regulations. Questions of trustworthiness, acceptability, effectiveness, and usefulness of messages and strategies communicated sought answers from the Bloemfontein population. Furthermore, the Agenda-setting Theory provided the grounding for the study. The study sample was picked in a stratified random sampling manner, using the confidence level and margin of error equation. A questionnaire survey was used to collect the data required to achieve the research objectives. Risk communication as a disaster risk reduction strategy implemented concurrently with imposed regulations was found to have played a vital role in mitigating the virus spread. However, the respondents were not aware of the local disaster management centre, which is supposed to be engaged in COVID-19 disaster management activities.

The effects of spatial frequency on the decoding of emotional facial expressions

The accurate detection of emotion is critical to effectively navigating our social lives. However, it is not clear how distinct types of visual information afford the accurate perception of others’ emotion states. Here, we sought to examine the influence of different spatial frequency visual information on emotion categorization, and whether distinctive emotional dimensions (valence and arousal) are differentially influenced by specific spatial frequency content. Across one pilot and two experiments (N = 603), we tested whether emotional facial expressions that vary in valence, arousal, and motivational direction differ in accuracy of categorization as a function of low, intact, and high spatial frequency band information. Overall, we found a general decrease in the breadth of emotional expressions for filtered images but did not see a decrease in accuracy of categorization for the positive emotion, joy. Together, these results suggest that spatial frequency information influences perception of emotional expressions that differ in valence, arousal, and motivational direction.