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Local communities engage production systems based on a set of agreed quality standards to which each member must adhere. Most of these systems, from local food production to renewable energy communities, require continuous and transparent monitoring of ...

IoT devices are commonly powered by batteries: even rechargeable ones wear out and must be replaced. Hence, in a future with billions of IoT devices, the disposal of their batteries represents a looming environmental disaster. Battery-free systems have ...

Post-deployment monitoring (PDM) occurs in the late stages of a DevSecOps (DSO) pipeline. Its role in DSO is critical in providing feedback loops on system performance leading to desirable changes achieving long-term system and application sustainment. ...

Small uncrewed aerial systems (sUAS) are growing in their use for commercial, scientific, recreational, and emergency management purposes. A critical part of a successful flight is a correctly tuned controller which manages the physics of the vehicle. ...

Deep learning is a proven method in many applications. However, it requires high computation resources and usually has a constant architecture. Mobile systems are good candidates to benefit from deep learning applications since they are closely integrated ...

Cyber-physical systems (CPSs) need to respond to each change of each monitored object in time. The entire response process can be divided into two stages: the update stage and the control stage. Tasks in CPSs can thus be divided into two kinds: update ...

In early 2023, cyberattacks experienced a significant rise due to unknown (zero-day) malware targeting Internet of Things (IoT) devices. To tackle the challenge of zero-day detection within a highly resource-constrained IoT environment, we propose a novel ...

The demand for efficient and reliable cloud computing systems is increasing. However, effectively managing data workloads in edge cloud systems, especially for connected cars, can be challenging. To address this issue, we have developed a new cache ...

GIST descriptor is a classic feature descriptor primarily used for scene categorization and recognition tasks. It drives a bank of Gabor filters, which respond to edges and textures at various scales and orientations to capture the spatial structures in ...

Mitral Transcatheter Edge-to-Edge Repair (mTEER) is a medical procedure utilized for the treatment of mitral valve disorders. However, predicting the outcome of the procedure poses a significant challenge. This paper makes the first attempt to harness ...

Uplift modeling has been used effectively in fields such as marketing and customer retention, to target those customers who are more likely to respond due to the campaign or treatment. Essentially, it is a machine learning technique that predicts the ...

A Dual-Attention-Guided Time-Shifted Convolutional Traffic Event Video Classification Network (DAG-Net) is proposed to classify events in traffic videos, addressing the challenges posed by complex and changing traffic environments and varying relative ...

Ocean relationalities invites PDC delegates to engage in a situated action that explores ocean connections. This situated action presents augmented reality and photostories that express and convey various ocean connections, histories and relationships ...

Traditional wisdom for network management allocates network resources separately for the measurement and communication tasks. Heavy measurement tasks may compete limited resources with communication tasks and significantly degrade overall network ...

Certain data compression technique like pruning leads to unstructured sparse Convolution Neural Network (CNN) models, without directly leveraging sparsity in optimizing both memory consumption and inference latency of a model having low to medium ...

End-effectors in a robotic system generally have the role of executing operations related to manipulating and handling the objects. The traditional grippers are restricted to the scope of performing a specific task, which limits their capability of ...

This paper presents a method to detect, track and predict a potential collision with UAVs using an aircraft equipped with a single camera. The method analyses the movement in the camera’s image plane by means of sparse optical flow. In this way, the ...

Rehabilitation robots help physiotherapists in performing repetitive and tiring tasks. Moreover, they are also capable of automating therapy. However, for such an application, they require algorithms assessing patient’s performance and monitoring their ...

Segmenting planes or objects from point clouds is one of the important technologies for mobile robots or autonomous cars. To enhance the efficiency and accuracy of point cloud plane segmentation, this paper proposes an accurate algorithm that adapts and ...

In modern industrial production, although welding robots surpass humans in stability and safety, they have limitations in dealing with the unpredictability of actual production, especially in unstructured environments. To combine the adaptability of ...