Teletriage is a telehealth service that uses telecommunication technologies to remotely assess patients’ conditions and determine their needs for medical treatment. This paper examines how teletriage affects decisions seek treatment when healthcare providers (e.g., businesses, hospitals, or clinics) should launch services. Our findings reveal can encourage more mild patients treatment, discouraging severe patients. occurs lacks sufficient precision hassle cost of seeking falls outside...

Ecological risk evaluation is a prerequisite for the rational allocation of land resources, which great significance safeguarding ecosystem integrity and achieving ecological prevention control. However, existing research lacks analysis state after use simulation within restricted conversion zone, making it impossible to determine whether risks have been mitigated under these constraints. Therefore, we selected Dianchi basin as study area, extracted defense zone used PLUS (Patch-generating...

Benchmark datasets play an important role in evaluating remote sensing image retrieval (RSIR) methods. At present, several small-scale benchmark for RSIR are publicly available on the web and mostly collected through Google Map API or other desktop tools. Because requires users to have programming skills collection tools not available, this may limit possibility a wide range of volunteers participate generating large-scale datasets. To address challenge, we develop open access web-based tool...

Benchmark datasets are essential to develop and evaluate remote sensing image retrieval (RSIR) approaches. However, there no two with different sources, an approximate equal number of images, the same classification system, size in existing public benchmark datasets. This may affect evaluation universality robustness RSIR approaches for category datasets, even hinder development new cross-source that require images from sources. We therefore present large-scale ArcGIS Bing World Imagery,...

In order to improve the dynamic optimization of fleet size and standardized management dockless bike-sharing, this paper focuses on using Markov stochastic process linear programming method solve problem bike-sharing rebalancing. Based analysis characters which are irreducible, aperiodic positive-recurrence, we prove that probability limits state (steady-state) chain only exists is independent initial distribution. Then a new “Markov solution” algorithm proposed. The includes three parts....

Remotely sensed imagery-based change detection is an effective approach for identifying land cover information. A large number of algorithms have been developed that satisfy different requirements. However, most using desktop-based software in offline environments; thus, it increasingly difficult common end-users, who limited remote sensing experience and geographic information system (GIS) skills, to perform appropriate tasks. To address this challenge, paper proposes online geoprocessing...

This paper proposes a personalized comprehensive cloud-based method for heterogeneous multi-attribute group decision-making (MAGDM), in which the evaluations of alternatives on attributes are represented by LTs (linguistic terms), PLTSs (probabilistic linguistic term sets) and LHFSs hesitant fuzzy sets). As an effective tool to describe LTs, cloud model is used quantify qualitative evaluations. Firstly, regulation parameters entropy hyper defined, they further incorporated into...

Abstract Defect detection occupies an increasingly important position in the manufacturing industry, and most of approaches for traditional defect are based on manual extraction defective region traits labeling work. This paper presents a novel approach Generative Adversarial Network (GAN) to automatically detect extract defects from target dataset. The method extends samples using GAN model solve problem insufficient reality, also provides paired second stage pixel accumulation, after which...

Automatic discovery of isolated land cover web map services (LCWMSs) can potentially help in sharing data. Currently, various search engine-based and crawler-based approaches have been developed for finding dispersed throughout the surface web. In fact, with prevalence geospatial applications, a considerable number LCWMSs are hidden JavaScript code, which belongs to deep However, discovering from code remains an open challenge. This paper aims solve this challenge by proposing focused...

Place name is an important ingredient of borderlands situation information and plays a significant role in collecting them from the Internet with focused crawlers. However, current crawlers treat place same way as any other common keyword, which has no geographical properties. This may reduce effectiveness To solve problem, this paper firstly discusses importance terms location spatial relation, and, then, proposes two-tuple-based topic representation method to express respectively....

Abstract. Land Cover (LC) maps represent key resources to understand, model and address many global local dynamics affecting our planet. They are usually derived from the classification of satellite imagery, after which a validation or intercomparison process is performed assess their accuracy. This paper presents project “Capacity Building for High-Resolution Intercomparison Validation”, an educational initiative funded by International Society Photogrammetry Remote Sensing (ISPRS) mainly...

Abstract. Land Cover (LC) maps are fundamental products for a wide variety of applications. The workflow their production is composed classification satellite imagery and validation against reference dataset. Different LC as well multiple versions in time the same map can be also compared with one another to assess changes. Since current richness both space in-situ observations makes it quite easy produce maps, accuracy before using them real This paper focuses on education capacity building...

Abstract. Since the United Nations passed 17 Sustainable Development Goals (SDGs) and 169 sub-goals in 2015, many researchers have tried their best to put them into practise. However, mass data different understanding of SDGs indicators make this work much more difficult. In article we reference concept essential variables which may some contribution established a standard system for monitoring. Here take SDG15 as an example. Firstly, deeply analyse main contents select geospatial-related...

Temporal intent is an important component of events. It plays role in collecting them from the web with focused crawlers. However, traditionally crawlers usually only consider factors such as topic keywords, page content, and anchor text, ignoring relationship between pages temporal This leads to their poor crawling performance. paper aims understand events apply it within First, a new identification method proposed based on Google Trends data. The can automatically identify start time event...

Abstract. With the development of UAV technologies, advantages hybrid VTOL have been realized and taken in emergency response. But, former is lack capacities on payload endurance, which restrict integration multiple sensors. In this paper, a high fixed wing UAV, has 20 kg more than 3 hours used to design system for Multiple sensors including an optronics pod, PhaseOne IXM-100 camera, accuracy inertial navigation three-axis stable head are integrated with it. Based this, specific processing...

In recent years, with the continuous development of online geographic information services, multiscale expression elements and topological has become a hot research topic. Currently, large amount focuses mainly on compression vector line elements. The main shortcoming current algorithms is that data does not consider optimality simplification. face terabytes or even petabytes data, problems arise such as low processing efficiency long transmission time. Based shape-tree principle, proposed...

Abstract. The spatial detail and updating frequency of land cover data are important factors influencing surface dynamic monitoring applications in high resolution scale. However, the fragmentized patches seasonal variable some types (e. g. small crop field, wetland) make it labor-intensive difficult generation data. Utilizing multi-temporal image is a possible solution. Unfortunately, temporal available remote sensing like Landsat or MODIS datasets can hardly satisfy minimum mapping unit...

Abstract. Remote sensing is going through a basic transformation, in which wide array of data-rich applications gradually taking the place methods interpreting one or two imageries. These have been greatly facilitated by Google Earth Engine (GEE), provides both imagery access and platform for advanced analysis techniques. Within field land cover classification, GEE ability to create fast new classifications, particularly at global extents. Despite role indices other ancillary data...

Abstract. A web-based validation is necessary for assessing the accuracy of Globalland30. As one obstacles in global land cover data, it a challenge to effectively select reasonable sample dataset. Global heterogeneous and complex. However, some sampling plans based on probability mathematical statistics don‟t consider landscape heterogeneity. To address this disadvantage two-rank acceptance plan(TRASP) indices are used improving plan. Landscape indicator an typical method quantifying The...