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A Path feature is a link set which represents a collection of Path Link features that share the same name (for example, Church Walk). A Path will reference the complete collection of Road Link features irrespective of which authority boundary it falls within. A Path Link feature may be referenced by multiple Path features.

Explore the growth potential of Market Research Intellect's Adhesives For Optical Path Link-up Sales Market Report, valued at USD 1.2 billion in 2024, with a forecasted market size of USD 2.0 billion by 2033, growing at a CAGR of 7.5% from 2026 to 2033.

The Percentages of Good Paths.

The zoning plan (BPL) contains the legally binding stipulations for the urban planning order. In principle, the development plan must be developed from the land use plan. The available data are the development plan "Fliederweg" of the city of Freiberg am Neckar from XPlanung 5.0. Description: Lilac path.

Global Adhesives for Optical Path Link up market size 2025 is $1678.12 Million whereas according out published study it will reach to $3545.2 Million by 2033. Adhesives for Optical Path Link up market will be growing at a CAGR of 9.8% during 2025 to 2033.

Development plan "Fliederweg 37" of the municipality of Massenbachhausen transformed according to INSPIRE based on an XPlanung data set in version 5.0.

Data set for link prediction using machine learning algorithms built upon meta-path topological features

This data was only submitted as a test version, please refrain from using it.

including the subfolder xxxx_DEM_DATA

This dataset contains path loss values for a virtual Vehicle-to-Vehicle (V2V) communication link established through a Reconfigurable Intelligent Surface (RIS) mounted on a drone. The drone’s position and height are optimized at each time step to improve signal strength (reduce path loss), by moving toward the best point as described in the referenced publication. Two versions of the results are included: (1) without orientation control (no adjustment of yaw), and (2) with orientation control using a Q-Learning approach also explained in the paper. The optimized.npy file show lower path loss values, highlighting the benefit of the proposed method and the impact of orientation control.

Set of Paths in Fig 1.

The global market for adhesives used in optical path link-up is experiencing robust growth, driven by the expanding demand for high-speed data transmission and the increasing adoption of optical fiber communication technologies. This market, estimated at $500 million in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching a value exceeding $1.5 billion by 2033. This growth is fueled by several key factors including the rapid deployment of 5G networks, the proliferation of data centers requiring high-bandwidth connectivity, and advancements in silicon photonics, which are increasingly utilizing these specialized adhesives. The key application segments driving market expansion include PLC-to-fiber and silicon waveguide-to-fiber link-ups, demanding high-precision and reliable adhesives to ensure signal integrity and minimize signal loss. Acrylate and epoxy-based adhesives currently dominate the market, offering different properties tailored to specific application requirements. Geographical distribution sees strong growth across North America and Asia Pacific, driven by significant investments in infrastructure and technological advancements in these regions. While the market faces challenges such as stringent regulatory compliance and the relatively high cost of some specialized adhesives, the overarching trend towards higher bandwidth and faster data speeds is expected to continue to propel market growth throughout the forecast period. The competitive landscape is characterized by a mix of established players like Henkel and Norland Products Inc., alongside specialized companies like NTTAT. These companies are focusing on developing innovative adhesive solutions with improved performance characteristics, such as enhanced optical clarity, temperature stability, and curing speed. Further innovation in material science and the development of adhesives suitable for next-generation optical components like integrated photonic circuits will be critical for maintaining the market's rapid expansion. The continuous demand for higher data transmission rates and the expansion of fiber-optic networks into new applications, like automotive and industrial automation, will present significant opportunities for growth in the adhesives for optical path link-up market in the coming years.

please refer to our code GitHub link https://github.com/yanyinzhao/UpdatedStructureTerrainCode.

Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest paths, namely, uninformed search, informed search and incremental search. The above traditional algorithms have been put to successful use for fixed networks with static link costs. However, in many practical contexts, such as transportation networks, the link costs can vary over time. We investigate the applicability of the aforementioned benchmark search strategies in a simulated transportation network where link costs (travel times) are dynamically estimated with vehicle mean speeds. As a comparison, we present performance metrics for a reinforcement learning based routing algorithm, which can interact with the network and learn the changing link costs through experience. Our results suggest that reinforcement learning algorithm computes optimal paths dynamically.

Total Port Authority Trans-Hudson (PATH) system linked passenger trips, by month beginning 1996 through current year period. Trips are based on station turnstile entry counts.

Description of the INSPIRE Download Service (predefined Atom): BPlan Walk and bike path along the B 50 OG Geichlingen - The link(s) for downloading the data sets is/are dynamically generated from Get Map calls to a WMS interface

Dataset Card for PathVQA

  Dataset Description

PathVQA is a dataset of question-answer pairs on pathology images. The dataset is intended to be used for training and testing Medical Visual Question Answering (VQA) systems. The dataset includes both open-ended questions and binary "yes/no" questions. The dataset is built from two publicly-available pathology textbooks: "Textbook of Pathology" and "Basic Pathology", and a publicly-available digital library: "Pathology… See the full description on the dataset page: https://huggingface.co/datasets/flaviagiammarino/path-vqa.

The dataset

The dataset is produced within the SafeLog project and it is used for benchmarking of multi-agent path planning algorithms. Specifically, the dataset consists of a set of 21 maps with increasing density and a set of 500 random assignments, each for a group of 100 agents for planning on each of the maps.

All of the maps, in the form of a graph G = {V, E}, are built on the same set of 400 vertices V. The sets of edges Ej, where j ∈ (0; 20), in the maps then form a set ranging from a spanning tree to a mostly 4-connected graph. These maps were created by generating a complete square graph with the size of 20*20 vertices. The graph was then simplified to a spanning tree, and, finally, approximately 50 random edges from the complete graph were added 20 times, to create the set of 21 maps of density ranging from 800 to 1500 edges in the graph.

Content and format

The following files are included in the dataset

test_nodes.txt - 400 nodes of a 20*20 square map in the form "id x y"
testAssignment.txt - 50499 random pairs of nodes ids from test_nodes.txt
test_edgesX.txt - pairs of adjacent nodes ids from test_nodes.txt forming edges
- X = 0 - tree
- X = 20 - full graph
- created starting at a full graph and repeatedly erasing edges until a tree remains

To illustrate the maps in the dataset, we provide three images (1008.png, 1190.png, and 1350.png) showing maps with 1008 (1190, 1350) edges.

Citation

If you use the dataset, please cite:

[1] Hvězda, J., Rybecký, T., Kulich, M., and Přeučil, L. (2018). Context-Aware Route Planning for Automated Warehouses. Proceedings of 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

@inproceedings{Hvezda18itsc,
author = {Hvězda, Jakub and Rybecký, Tomáš and Kulich, Miroslav and Přeučil, Libor},
title = {Context-Aware Route Planning for Automated Warehouses},
booktitle = {Proceedings of 2018 21st International Conference on Intelligent Transportation Systems (ITSC)},
publisher = {IEEE Intelligent Transportation Systems Society},
address = {Maui},
year = {2018},
doi = {10.1109/ITSC.2018.8569712},
}

[2] Hvězda, J., Kulich, M., and Přeučil, L. (2019). On Randomized Searching for Multi-robot Coordination. In: Gusikhin O., Madani K. (eds) Informatics in Control, Automation and Robotics. ICINCO 2018. Lecture Notes in Electrical Engineering, vol 613. Springer, Cham.

@inbook{Hvezda19springer,
author = {Hvězda, Jakub and Kulich, Miroslav and Přeučil, Libor},
title = {On Randomized Searching for Multi-robot Coordination},
booktitle = {Informatics in Control, Automation and Robotics},
publisher = {Springer},
address = {Cham, CH},
year = {2019},
series = {Lecture Notes in Electrical Engineering},
language = {English},
url = {https://link.springer.com/chapter/10.1007/978-3-030-31993-9_18},
doi = {10.1007/978-3-030-31993-9},
}

[3] Hvězda, J., Kulich, M., and Přeučil, L. (2018). Improved Discrete RRT for Coordinated Multi-robot Planning. Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - (Volume 2).

@inproceedings{Hvezda18icinco,
author = {Hvězda, Jakub and Kulich, Miroslav and Přeučil, Libor},
title = {Improved Discrete RRT for Coordinated Multi-robot Planning},
booktitle = {Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - (Volume 2)},
publisher = {SciTePress},
address = {Madeira, PT},
year = {2018},
language = {English},
url = {http://www.scitepress.org/PublicationsDetail.aspx?ID=ppwUqsGaX18=\&t=1},
doi = {10.5220/0006865901710179},
access = {full}
}

Description of INSPIRE Download Service (predefined Atom): “Glue path” development plan of the city of Rheinböllen – The link(s) for downloading the datasets is/are generated dynamically from Get Map Calling a WMS Interface