Search Results

Energy storage systems play a crucial role in modern power systems. Consequently, a mixed cloud energy storage (CES) system is proposed. The mixed CES system comprises consumers and prosumers. The consumers can only consume energy. The prosumers ...

• The framework of cloud energy storage systems with varying structures is built.
• The real-time economic generation controller is designed for the built system.
• A long-term deep reinforcement learning method is proposed for this ...

The surge in intelligent edge computing has propelled the adoption and expansion of the distributed embedded systems (DESs). Numerous scheduling strategies are introduced to improve the DES throughput, such as latency-aware and group-based hierarchical ...

Metaproteomics, utilizing high-throughput LC-MS, offers a profound understanding of microbial communities. Quantitative metaproteomics further enriches this understanding by measuring relative protein abundance and revealing dynamic changes under ...

RRT* (Rapidly-exploring Random Tree Star), as a variant of RRT (Rapidly-exploring Random Tree), is widely used to solve path planning problems because of its asymptotic optimality. However, the algorithm is inefficient due to the high initial ...

As the global population continues to age, there is a concurrent rise in the number of individuals experiencing cognitive impairment and dementia, underscoring the critical necessity to address their hospice needs and quality of life concerns. ...

Product customization is a complex task that relies heavily on consumer preferences. Eliciting these preferences can be challenging for firms looking to develop novel products and require significant investments of both time and effort. ...

A typical manufacturing failure in powder bed additive manufacturing (AM) is caused by the collision between the already printed structure and the powder recoater due to large thermal deformation. This paper presents a density-based topology ...

• Concurrent topology optimization approach to design the parts and their supports.
• Additive manufacturing process simulation model based on inherent strain method.
• New thermal deformation constraint to avoid recoater collision.

Nature has undergone millions of years of evolution, enabling organisms to adapt and survive in their environment. The remarkable features developed by these organisms serve as a rich source of inspiration for designers involved in engineering ...

Human joint motion exhibits a high degree of freedom, with different joints capable of moving and rotating in various directions. Consequently, accurately capturing the features of posture motion becomes challenging, resulting in lower prediction ...

To ensure the user experience of mobile systems, the foreground application can be differentiated to minimize the impact of background applications. However, this article observes that system services in the kernel and framework layer, instead of ...

Deep Neural Network (DNN) models have notably improved the efficiency of machine learning tasks. However, their high storage and computational costs restrict their deployment on resource-limited embedded devices. Knowledge distillation ...

The integration of 3D printing with smart materials in 4D printing technology has attracted extensive research attention due to its capability of endowing static printed structures with dynamic behaviors and actions that evolve over time. One such ...

Smart grid has drawn a lot of attention and investment in recent years, which not only helps the modern generation and distribution of traditional power but also highly widens the application of renewable energy sources. However, the main ...

In order to solve the main challenges in the application of smart grid, such as the privacy preservation of users' information and the trustful transmission channel among peers, WireGuard and Hyperledger Fabric are introduced. We implement the whole ...

• An effective test-time bi-directional adaptation strategy is proposed to seek robust segmentation.
• A window-based order statistics alignment module is presented to adapt appearance-agnostic test images to existing learned models.
• ...

Deep learning models often suffer from performance degradations when deployed in real clinical environments due to appearance shifts between training and testing images. Most extant methods use training-time adaptation, ...

Polypharmacy (multiple use of drugs) is an effective strategy for combating complex or co-existing diseases. However, a major consequence of polypharmacy is a higher risk of adverse side effects due to drug-drug interactions, which are ...

• We propose a promising polypharmacy side effect prediction model.
• We prove the ...

Generative design provides a promising algorithmic solution for mass customization of products, improving both product variety and design efficiency. However, the current designer-driven generative design formulates the automated ...

Regression learning is classic and fundamental for medical image analysis. It provides the continuous mapping for many critical applications, like the attribute estimation, object detection, segmentation and non-rigid registration. However, ...

Ultrasound (US) is widely used for its advantages of real-time imaging, radiation-free and portability. In clinical practice, analysis and diagnosis often rely on US sequences rather than a single image to obtain dynamic anatomical information. ...

In this paper, we consider the privacy preservation problem in continuous-time average consensus algorithms with strongly connected and balanced graphs, against either internal honest-but-curious agents or external eavesdroppers. A ...

For improving manufacturing efficiency and minimizing costs, design for additive manufacturing (AM) has been accordingly proposed. The existing design for AM methods are mainly surrogate model based. Due to the increasingly available data nowadays,...