In order to improve coverage rate of wireless sensor network (WSN), improved lion swarm optimization algorithm (LSOA) is proposed to optimize node coverage in WSN. Firstly, node coverage model of WSN is studied. Secon...
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We developed an intelligent MEMS sensor with data processing ability for data acquisition and conversion at low power consumption. It enables data processing at the sensing device for efficient distributed processing....
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ISBN:
(纸本)9781665409117
We developed an intelligent MEMS sensor with data processing ability for data acquisition and conversion at low power consumption. It enables data processing at the sensing device for efficient distributed processing. We employed a MEMS reservoir which integrates sensing and computing functions in single device structure. In this research we designed a frequency modulated capacitive accelerometer and characterized its frequency response. The measured response was used for simulation of time series prediction and the machine learning task was successfully demonstrated.
This research discusses the performance evaluation of distributed database systems in a cloud computing environment Cloud computing environments allow data and applications to be stored and deployed on infrastructure ...
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With the continuous development of train operation control technology, the iteration of train operation control systems has been accelerated, leading to an increasing workload of system testing. Currently, most system...
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Tactile sensors with impact localization are becoming an essential part in automotive, aerospace, and civil engineering for damage assessment, safety assurance and structural monitoring. Inkjet printing is on rise for...
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ISBN:
(纸本)9798350387186;9798350387179
Tactile sensors with impact localization are becoming an essential part in automotive, aerospace, and civil engineering for damage assessment, safety assurance and structural monitoring. Inkjet printing is on rise for its eco-friendliness, cost-efficiency, low power consumption and quick design iteration ability. However, its minimal fabrication process results in operational challenges. These challenges can be mitigated by integrating artificial intelligence with inkjet printed sensors to enhance their performance. Among all artificial intelligences, echo state networks are gaining recognition for their low computational demands and hardware compatibility. This study developed an inkjet-printed tactile grid sensor with an echo state network for impact localization. The sensitivity of sensor was assessed through a pencil drop experiment, with data transformation across time and magnitude domains to improve network adaptability. Hyperparameters of the model were fine-tuned through sequential search. Developed echo state network with grid tactile sensor demonstrated high accuracy, pinpointing the impact location of pencil drops with an impressive precision rate of 94.89%.
Data exchange has become increasingly important in modern business and research. Consequently, many initiatives are being developed worldwide to facilitate open data exchange in secure distributed marketplaces. Ideall...
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ISBN:
(纸本)9798350366266;9798350366259
Data exchange has become increasingly important in modern business and research. Consequently, many initiatives are being developed worldwide to facilitate open data exchange in secure distributed marketplaces. Ideally, each party maintains control over their data and implements access through legal contracts, in the form of programmable policy. Such policy would express where the data exchange takes place, and who has access to the data. Inspired by how traditional Operating systems abstract the complexities of computer architectures into standardized core functions, this research focuses on abstracting different data exchange patterns into a unified set of core data exchange microservices that adhere to agreed-upon data exchange policies. DYNAMOS implements a distributed data exchange platform and recreates real-life data exchange use cases. It is designed to be self-adaptive, utilizing extendable algorithms to generate dynamic microservice compositions and dynamically choose archetype patterns, influenced by policy, user input, or system events. In our study, we highlight key insights from our experience with a dynamic microservice platform. Employing sidecars for communication abstraction, protocol buffers for strict interface definition, and ephemeral single-use jobs for improved security emerged as pivotal strategies. However, these approaches do introduce a trade-off between operational speed and especially system complexity.
Geo-location, also known as measurement report (MR) location, is a technique to determine the geographic location of user equipment (UE) and the behaviour attribute of telephone traffic based on wireless signals measu...
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Among the existing attack models, Attack Graphs (AGs) represent a powerful abstraction to capture the notion of multi-step attacks i.e., ensembles of sequential vulnerability exploits taken by an attacker with a speci...
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ISBN:
(纸本)9798350325454
Among the existing attack models, Attack Graphs (AGs) represent a powerful abstraction to capture the notion of multi-step attacks i.e., ensembles of sequential vulnerability exploits taken by an attacker with a specific objective. A well-known issue in using AGs is their poor scalability due to the complexity of generating and analyzing all existing attack paths. To this aim, we propose a workflow for a more efficient generation of attack paths in a distributed and resilient manner. We describe the general workflow, emphasizing the research challenges and providing few preliminary solutions.
The proceedings contain 9 papers. The special focus in this conference is on distributedcomputing and Artificial Intelligence. The topics include: A Deep Learning-Based OCR System Implementation for Traceability...
ISBN:
(纸本)9783031809453
The proceedings contain 9 papers. The special focus in this conference is on distributedcomputing and Artificial Intelligence. The topics include: A Deep Learning-Based OCR System Implementation for Traceability Ensurement in a Metal Manufacturing Workshop;dimensional Reduction Techniques for the Characterization of Behavioral Patterns in Dairy Cows;geothermal Heat Exchanger’s Temperature Input sensor Prediction Based on Deep Learning Modelling Technique;a Hybrid Intelligence Model Forecasts the Temperature of a Battery Used in Electric Vehicles;a Comparative Analysis of Algorithms and Metrics to Perform Clustering;wind Speed Virtual sensor for Small Wind Turbine;reconstructing Turbulence-Distorted Wavefronts Through Laser-Beam Profiles.
This paper presents the design and implementation of an autonomous indoor houseplant irrigation robot operating under the ROS2 framework. The robot prototype integrates locomotion, water delivery, power management, se...
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ISBN:
(纸本)9798350366457;9798350366440
This paper presents the design and implementation of an autonomous indoor houseplant irrigation robot operating under the ROS2 framework. The robot prototype integrates locomotion, water delivery, power management, sensors, and high-level control systems. A YOLOv8-based vision system, trained on a custom houseplant dataset, detects and localizes plants for precise irrigation. Robot localization and mapping use ROS2 SLAM Toolbox with 2D LIDAR, for autonomous navigation and irrigation via ROS2's Nav2 path planning. Wireless communication is achieved through an ad-hoc mesh network connecting the main computer with distributed microcontrollers. The prototype demonstrates key autonomous functions, as well as acknowledging limitations, presenting opportunities for future enhancements to improve robustness and practical applicability in home automation.
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