Pangalengan is one of the tourist destinations in West Java that is currently popular and has resulted in an increase in the number of tourists. This density occurs especially in tourist attractions ...that have quite big names. One of the advantages of Pangalengan is coffee, which is known as the best coffee commodity in West Java. However, the existence of a coffee shop in the Pangalengan area has not been able to encourage the growing interest of tourists to come to the coffee shop. One of the problems faced is the absence of mapping which is a source of information on the existence of coffee shops in the Pangalengan area. This research used the 4D RD method consisting of 4 main stages namely Define, Design, Develop, and Disseminate which were carried out at the Ambeu Preanger Coffee Farming Community. The results of the study show that one of the causes of the non-publication of coffee shops in the Pangalengan area is caused by the information media which does not expose coffee shops as a tourism commodity. The existence of a digital map is considered to be able to support the tour of the Ambeu Preanger Community Assisted Coffee Shop in Pangalengan District so it is hoped that with a digital map that specializes in the shops above it will become better known and will certainly generate good profits for the continuity of its business
Large single-cell atlases are now routinely generated to serve as references for analysis of smaller-scale studies. Yet learning from reference data is complicated by batch effects between datasets, ...limited availability of computational resources and sharing restrictions on raw data. Here we introduce a deep learning strategy for mapping query datasets on top of a reference called single-cell architectural surgery (scArches). scArches uses transfer learning and parameter optimization to enable efficient, decentralized, iterative reference building and contextualization of new datasets with existing references without sharing raw data. Using examples from mouse brain, pancreas, immune and whole-organism atlases, we show that scArches preserves biological state information while removing batch effects, despite using four orders of magnitude fewer parameters than de novo integration. scArches generalizes to multimodal reference mapping, allowing imputation of missing modalities. Finally, scArches retains coronavirus disease 2019 (COVID-19) disease variation when mapping to a healthy reference, enabling the discovery of disease-specific cell states. scArches will facilitate collaborative projects by enabling iterative construction, updating, sharing and efficient use of reference atlases.
The focus of the research carried out by Zones Portuaires and Corpi Idirici for the digital map of Genoa is water. The map is broken down into the theme of the "immersed" with a dual meaning of ..."invisible underground or underwater'' due to it being submerged or forced, and of "invisible - unknown or hidden" as a result of it being abandoned or unused. The map tells the stories of a select number of noteworthy places along fresh and saltwater routes, land and maritime passages, stories made invisible by anthropogenic hyper-infrastructures and immersed in physical conditions that lack knowledge and accessibility. The phenomenon has been studied from a point of view that moves from the sea to the hinterland and vice versa using a transdisciplinary approach method of investigation and restitution that makes use of the hybridization between artistic practice and scientific research.
High-definition (HD) mapping is a promising approach to realize highly automated driving (AD). Although HD maps can be applied to all levels of autonomy, their use is particularly beneficial for ...autonomy levels 4 or higher. HD maps enable AD systems to see beyond the field of view of conventional sensors, thereby providing accurate and detailed information regarding a driving environment. An HD map is typically separated into a pointcloud map for localization and a vector map for path planning. In this paper, we introduce two separate but successive HD map generation workflows. Of the several stages involved, the registration and mapping processes are essential for creating the pointcloud and vector maps, respectively. To facilitate the readers’ understanding, the processes of these two stages have been recorded and uploaded online. HD maps are typically generated using open-source software (OSS) tools. CloudCompare and ASSURE, as representative tools, are used in this study. The generated HD maps are validated with localization and path-planning modules in Autoware, which is also an OSS stack for AD systems. The generated HD maps enable environmental-monitoring vehicles to successfully operate at level 4 autonomy.
Digital map processing promises computational methods for the extraction of geographic features from scanned historical maps. Such workflows are error prone, with potential spatial uncertainty ...arising from the initial map production, the processing of the feature extraction, and the eventual application and use of the extracted features. This paper investigates several types of uncertainty emerging the extraction of hydrological features from historical topographic maps for the monitoring of change in ecological indicators describing river ecosystems, such as shoreline length, river sinuosity or number of river nodes and islands. Computational procedures have been developed to simulate various typical, expected sources of error. In a series of experiments investigating three different typical river types, the errors were systematically varied and increased using Monte Carlo simulation whilst studying the errors' impacts on the derived ecological indicators. The results suggest that production-oriented uncertainties emerging the initial map generalization and simplification process have bigger impacts than processing-oriented uncertainties, such as errors from manual digitizing. The results further indicate that the derivation of ecological indicators from braided rivers is more error prone than from straight or meandering rivers, and that topological indicators such as river sinuosity are more robust than indicators derived from the features' geometry.
The dissemination of blasub.KPC-harboring Pseudomonas aeruginosa (KPC-Pa) is considered a serious public health problem. This study provides an overview of the epidemiology of these isolates to try ...to elucidate novel mobilization platforms that could contribute to their worldwide spread. A systematic review in PubMed and EMBASE was performed to find articles published up to June 2022. In addition, a search algorithm using NCBI databases was developed to identify sequences that contain possible mobilization platforms. After that, the sequences were filtered and pair-aligned to describe the blasub.KPC genetic environment. We found 691 KPC-Pa isolates belonging to 41 different sequence types and recovered from 14 countries. Although the blasub.KPC gene is still mobilized by the transposon Tn4401, the non-Tn4401 elements (NTEsub.KPC) were the most frequent. Our analysis allowed us to identify 25 different NTEsub.KPC, mainly belonging to the NTEsub.KPC-I, and a new type (proposed as IVa) was also observed. This is the first systematic review that consolidates information about the behavior of the blasub.KPC acquisition in P. aeruginosa and the genetic platforms implied in its successful worldwide spread. Our results show high NTEsub.KPC prevalence in P. aeruginosa and an accelerated dynamic of unrelated clones. All information collected in this review was used to build an interactive online map.
•Define key congestion points and convert it to a feature selection problem.•Propose an expert system to discover key congestion points of urban traffic.•Revise BSSReduce, which runs 15 times faster ...than BSSReduce for this data.•Discover 75 and 300 key congestion points from over 10,000 and 50,000 points.
Discovering key congestion points periodically in traffic jams is a critical issue. It supports road managers to make sense of the situations, and rule out the congestion economically and efficiently. However, city-scale and synchronal traffic data bring hardships for such kind of analyses. With recent developments in data science, the availability of traffic conditions data generated by the rising digital map applications makes this issue feasible. Therefore, we firstly propose a digital map data-driven expert system to discover and measure the city-scale key congestion points. It is based on a state-of-the-art feature selection method, BSSReduce (Bijective soft set based feature selection). Data from Baidu Map for Chongqing and Beijing are collected as a case to conduct this study. The results indicate that our proposed method helps the road managers recognize 75 and 300 key congestion points from over 10,000 and 50,000 points of the urban roads each month. The visualized results, as well as the significance measurements, provide road managers an expert system to quickly rule out congestion and work out new solutions to future traffic management.
Mobility for Everyone Studenti Mateja Crneković, Lucija Dreven, Mateo Grdjanić, Martina Kušan, Katarina Plancutić and Mor
Kartografija i geoinformacije,
12/2018, Letnik:
17, Številka:
30
Journal Article
Odprti dostop
For people with disabilities, performing everyday activities within the city requires significant effort due to traffic jams, lack of supporting infrastructure, lack of specialized building access, ...and so on. It is imperative to help them overcome these difficulties. This is especially important for the City of Zagreb due to lack of data regarding the existing infrastructure. Our idea was to gather data regarding the location of parking spaces reserved for people with disabilities as well as locations of public institutions and to present them using an interactive digital map.
Abstract
The implementation of this study aims to present information not only in the text/tabular form but also in the spatial/digital map form to support the poverty alleviation programs in East ...Kalimantan, especially in Samarinda and Balikpapan, hence information obtained can be more easily analyzed, identified in terms of the poor population distribution in the visualization form. It presented as a list an area, graph, detail data and geographical map integrated with Google Maps. This application was developed using PHP scripts, Apache Webserver, Codeigniter Framework, CCS Bootstrap, MySQL database, and google maps API. Poor data collected from the Central Bureau of Statistics and the results of the survey through questioner and interview respondents. The information presented in this system is the resident name, identification number, address, employment, income, education, residence status and photo of living conditions/person.
In this paper, we conducted a sketch map survey of two attributes with and without land knowledge to understand the characteristics of the city image created using a map application. Through the ...analysis of the sketch maps, it became clear that the use of map applications is effective in creating city images for users without land knowledge. In addition, we found that the formation of city images through app use was influenced by (1) the image before using the app, (2) the usage of application functions, and (3) the time of use using the app.
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