Testing and validating Cyber-Physical systems (CPSs) in the aerospace domain, such as field testing of drone rescue missions, poses challenges due to volatile mission environments, such as weather conditions. While te...
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ISBN:
(纸本)9798350380279;9798350380262
Testing and validating Cyber-Physical systems (CPSs) in the aerospace domain, such as field testing of drone rescue missions, poses challenges due to volatile mission environments, such as weather conditions. While testing processes and methodologies are well established, structured guidance and execution support for field tests are still weak. This paper identifies requirements for field testing of drone missions and introduces the Field Testing Scenario Management (FiTS) approach for adaptive field testing guidance. FiTS aims to provide sufficient guidance for field testers as a foundation for efficient data collection to facilitate quality assurance and iterative improvement of field tests and CPSs. FiTS shall leverage concepts from scenario-based requirements engineering and Behavior-Driven Development to define structured and reusable test scenarios, with dedicated tasks and responsibilities for role-specific guidance. We evaluate FiTS by (i) applying it to three use cases for a search-and-rescue drone application to demonstrate feasibility and (ii) interviews with three experienced drone developers to assess its usefulness and collect further requirements. The study results indicate FiTS to be feasible and useful to facilitate drone field testing and data analysis.
Self-powered flexible pressure sensors are needed in applications such as human-machine interaction. Here, we present a triboelectric nanogenerator (TENG)-based self-powered flexible pressure sensor capable of operati...
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Synthetic Aperture Radar (SAR) utilizes the principle of radar waves reflecting off surfaces to obtain high-resolution images. SAR is typically employed by radar systems mounted on platforms such as satellites, aircra...
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Bed sensorsystems are useful for measuring sleep states in cognitively impaired older adults because they can measure unrestrained individuals. However, there are no criteria for identifying sleep abnormalities using...
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Various microstructure designs are frequently employed to optimize flexible sensor performance. However, the replication process of microstructures is complex, the required equipment is costly, and the production cost...
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Various microstructure designs are frequently employed to optimize flexible sensor performance. However, the replication process of microstructures is complex, the required equipment is costly, and the production costs remain relatively high. In this study, A method involving multiple coatings of a mixed carbon solution is employed to replicate the microstructure of the leaf surface. Flexible piezoresistive sensors with microstructures resembling those of corn husks, lucky bamboo leaves, and cattail leaves are fabricated. The fabrication process is straightforward, and the production cost is low. Morphological observations and performance testing reveal that the flexible piezoresistive sensor with the corn husk-like microstructure exhibits the best sensing performance: a sensitivity of 0.0128 kPa-1 in the pressure range of 0-18 kPa. The response and recovery times are 151 +/- 12 ms and 196 +/- 28 ms, respectively, with a pressure range of 0-178 kPa, stability over 10, 000 loading-unloading cycles and a hysteresis error of 8.05%. The fabricated flexible piezoresistive sensors can be utilized to detect human body signals such as frowning, finger bending, and foot pressure. These sensors hold potential for applications in fields such as motion monitoring, healthcare, and flexible robotic systems.
Lifelong development allows animals and machines to adapt to changes in the environment as well as in their own systems, such as wear and tear in sensors and actuators. An important use case of such adaptation is indu...
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ISBN:
(纸本)9798350348569;9798350348552
Lifelong development allows animals and machines to adapt to changes in the environment as well as in their own systems, such as wear and tear in sensors and actuators. An important use case of such adaptation is industrial odor-sensing. Metal-oxide-based sensors can be used to detect gaseous compounds in the air;however, the gases interact with the sensors, causing their responses to change over time in a process called sensor drift. sensor drift is irreversible and requires frequent recalibration with additional data. This paper demonstrates that an adaptive system that represents the drift as context for the skill of odor sensing achieves the same goal automatically. After it is trained on the history of changes, a neural network predicts future contexts, allowing the context+skill sensing system to adapt to sensor drift. Evaluated on an industrial dataset of gas-sensor drift, the approach performed better than standard drift-naive and ensembling methods. In this way, the context+skill system emulates the natural ability of animal olfaction systems to adapt to a changing world, and demonstrates how it can be effective in real-world applications.
The rapid growth of urbanization has led to an increasing need for efficient energy management systems to optimize energy consumption and reduce environmental impacts. Wireless sensor technology emerges as a pivotal s...
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Very Long Baseline Interferometry (VLBI) was originally developed to perform high angular resolution radio imaging, but it has also proven useful in geodesy. VLBI has played a key role in defining the International Ce...
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Precision agriculture depends on precise and timely information to enhance resource utilization and increase crop production. This paper conducts an in-depth analysis of four different soil sensors, each employing uni...
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ISBN:
(纸本)9798350349535;9798350349542
Precision agriculture depends on precise and timely information to enhance resource utilization and increase crop production. This paper conducts an in-depth analysis of four different soil sensors, each employing unique sensing technologies: the Zigbee Soil sensor, True TDR-315H, ESP32 Capacitive Soil sensor, and ComWinTop Soil Moisture sensor. The objective is to assess and contrast their performance in delivering accurate data, consistency, and capabilities for immediate monitoring. By integrating accurate and immediate data, precision agriculture can make informed decisions to improve resource management and crop yields. The focus of this analysis is to offer a thorough review of these soil sensors, evaluating their effectiveness in real-time monitoring, precision of data, and dependability in agricultural settings. Upon examination of the specified sensors, the True TDR-315H emerged as the most accurate, with the ComWinTop sensor closely following. When using the TDR-315H as a standard for comparison in this research, the ComWinTop's accuracy was found to be around 90%. Additionally, the ComWinTop is significantly more cost-effective than the TDR-315H, being 60% cheaper, thereby offering a more viable solution for a wide range of soil moisture monitoring applications.
The proceedings contain 26 papers. The topics discussed include: identification of age markers from the structural features of Baltic amber using SERS;ultrasensitive fiber temperature sensor based on Fabry Perot inter...
ISBN:
(纸本)9781510682146
The proceedings contain 26 papers. The topics discussed include: identification of age markers from the structural features of Baltic amber using SERS;ultrasensitive fiber temperature sensor based on Fabry Perot interferometer and vernier effect;resonant optical gyroscopes based on low-coherence radiation sources;in-situ state characterization monitoring of 18650 lithium-ion batteries with high-rate charge and discharge based on the high-stability fiber-optic sensor;time delay estimation accuracy enhancement with envelope filtering in LFM-DAS;ring confocal cavity with gradient lens as sensitive element for the passive optical gyro;arrangement optimization of fiber Bragg grating temperature sensor network for wafer surface temperature field reconstruction with grey wolf optimization-kriging algorithm based on k-medoids;and a novel leakage sensing system of hydrogen transportation pipeline based on hybrid UWFBG array.
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