Standards Research Data
The example involves 16 evaluation criteria, with quantitative criteria including on time delivery (C1), delivery speed (C2), accurate delivery (C3), damaged cargo proportion (C4), after-sale service (C5), clearance efficiency (C6), geographical coverage (C7), bonded warehouse support (C8), delivery price (C12), and transport cost (C13), and qualitative criteria including flexibility in delivery and operations (C9), information system (C10), information sharing (C11), reputation (C14), financial performance (C15), and R&D ability (C16).
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80 Views
These data correspond to simulations demonstrating the proficiency of the robust H∞ performance analysis for a class of nonlinear time-delayed systems with external disturbance. For this purpose, an unstable nonlinear numerical system and a rotary inverted pendulum system have been studied in the simulation section. This experimental study of the practical rotary inverted pendulum is provided. These results confirm the expected satisfactory performance of the suggested method.
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27 Views
The TiHAN-V2X Dataset was collected in Hyderabad, India, across various Vehicle-to-Everything (V2X) communication types, including Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Infrastructure-to-Vehicle (I2V), and Vehicle-to-Cloud (V2C). The dataset offers comprehensive data for evaluating communication performance under different environmental and road conditions, including urban, rural, and highway scenarios.
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1208 Views
To download this dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/records/13896353
Please cite the following paper when using this dataset:
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1017 Views
Mashup and Web API dataset
This is a dataset used in Web API Recommendation which contains real data crawled from the ProgrammableWeb between 2019 and 2020. And the dataset includes 6217 Mashup services and 11930 Web APIs.
Each mashup data includes its name, tags, description text, called APIs, and categories. And each Web API data contains its name, tags and description text.
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122 Views
The Unified Multimodal Network Intrusion Detection System (UM-NIDS) dataset is a comprehensive, standardized dataset that integrates network flow data, packet payload information, and contextual features, making it highly suitable for machine learning-based intrusion detection models. This dataset addresses key limitations in existing NIDS datasets, such as inconsistent feature sets and the lack of payload or time-window-based contextual features.
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2402 Views
This dataset presents real-world VPN encrypted traffic flows captured from five applications that belong to four service categories, which reflect typical usage patterns encountered by everyday users.
Our methodology utilized a set of automatic scripts to simulate real-world user interactions for these applications, to achieve a low level of noise and irrelevant network traffic.
The dataset consists of flow data collected from four service categories:
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476 Views
DALHOUSIE NIMS LAB BENIGN DATASET 2024-2 dataset comprises data captured from Consumer IoT devices, depicting three primary real-life states (Power-up, Idle, and Active) experienced by everyday users. Our setup focuses on capturing realistic data through these states, providing a comprehensive understanding of Consumer IoT devices.
The dataset comprises of nine popular IoT devices namely
Amcrest Camera
Smarter Coffeemaker
Ring Doorbell
Amazon Echodot
Google Nestcam
Google Nestmini
Kasa Powerstrip
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211 Views
This dataset contains information about code smell, which is a very important issue in software engineering.
It is built by collecting the method having code smell from GitHub using the SonarCloud tool.
There are 5 code smells and 1 normal class with 500 examples each.
the metadata: method (function),smellkey, smellid
Smell Type
ID
Description
Reference
java:S100
0
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779 Views
This data set includes GAMS codes for the manuscript titled "Optimizing Unmanned Air Vehicle (UAV) Base Locations: A multi-objective optimization approach". There are four mixed integer programming models (M1, M2, M3 and M4) and one multi-objective algorithm (Alg1) coded in GAMS. The data used for the models are embeded in the codes. The codes should be run in GAMS environment. Each code gives the optimal solution for the associated model in which optimal objective function and decision variables values are provided.
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172 Views