In order to solve the fatigue problem of offshore floating photovoltaic direct current(DC) cable between floating blocks under the influence of wave motion, this paper proposes a method to evaluate the fatigue life of...
详细信息
Sign language plays an important role in information transmission and emotional communication between deaf-mute people and the outside world. With the development of artificial intelligence technology, the recognition...
详细信息
This paper studies the lateral and longitudinal formation control issue of a collection of vehicles subject to wear and road disturbance. A novel prescribed-time disturbance observer is designed to estimate the unknow...
详细信息
Aiming at the present information security problems and the one-sidedness of vulnerability assessment indicators of cyber-physical power systems,an assessment model is proposed based on the improved fuzzy analytic hie...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Aiming at the present information security problems and the one-sidedness of vulnerability assessment indicators of cyber-physical power systems,an assessment model is proposed based on the improved fuzzy analytic hierarchy process to identify the critical nodes of the ***,an integrated model of the cyber-physical power system is established,and the cascading failure process after component failure of the power system is taken into ***,several assessment indicators considering two aspects of power flow character and structural safety are given.A three-scale method and the optimal transfer matrix are employed to improve the traditional analytic hierarchy process,and the fuzzy comprehensive evaluation is used to determine the final ***,the validity of the proposed method is verified on the model based on the IEEE 30-bus system.
This paper presents the development of a computational methodology to determine input characteristics correlated with solar power generation. Solar power can be influenced by several factors, such as dirt accumulation...
This paper presents the development of a computational methodology to determine input characteristics correlated with solar power generation. Solar power can be influenced by several factors, such as dirt accumulation on the panels, temperature, irradiation, and location, which may reduce the energy generation capability. Our objective is to quantify losses in photovoltaic power generation due to dirt on the panels using a computational method that analyzes the most correlated input features with solar power generation. Data was collected from a meteorological station and a photovoltaic system located at the Federal Institute of Espirito Santo, Serra campus, Brazil, to develop a dataset. This dataset was then utilized by the computational method to ascertain the most correlated features. Consequently, we were able to evaluate the impact of dirt both when the panels were dirty and after cleaning them. We analyzed the effect of six years of dirt accumulation before cleaning the panels. Following the feature correlation analyses, we opted to use the average solar radiation and temperature readings from the LPNET14 sensor, infrared radiation, and relative humidity to study the dirt's impact. As a result, we determined that cleaning the panels led to a 4.01% increase in the system's power output.
This study presents a novel application of computer vision technology to enhance safety in the automotive service industry, with a specific focus on the real-time detection of Personal Protective Equipment (PPE) usage...
详细信息
ISBN:
(数字)9798350353853
ISBN:
(纸本)9798350353860
This study presents a novel application of computer vision technology to enhance safety in the automotive service industry, with a specific focus on the real-time detection of Personal Protective Equipment (PPE) usage. Using a YOLOv8 convolutional neural network, this study analyzes approximately 2,000 high-resolution images from security cameras within automotive repair facilities to detect compliance with safety gear requirements. These environments are characterized by constant artificial lighting and frequent interactions among employees and customers, which introduces complexity in visual data processing. The YOLOv8 model was selected for its proficiency in real-time object detection, facilitating robust and efficient analysis while ensuring that only authorized personnel perform specific tasks. Initial results indicate successful uniform detection, though challenges remain in accurately identifying smaller items like safety glasses and gloves. This underscores the potential of advanced image recognition technologies to substantially enhance workplace safety and operational efficiency across various industries. This study not only demonstrates the system's effectiveness in PPE detection but also sets a foundation for future advancements in smart safety practices within the industrial sector.
In the field of electric vehicles, the safety of power lithium-ion batteries is a socially important issue, and the study of thermal runaway of lithium batteries is now gradually becoming more in-depth. In this paper,...
详细信息
In this paper, we investigate the distributed optimization problem for heterogeneous linear multi-agent systems with unknown disturbances. By applying the primal-dual method and the time-scale separation technique, a ...
详细信息
Over the past decades, topological interface states have attracted significant attention in classical wave systems. Generally, research on the topological interface states of elastic waves is conducted in the lattices...
详细信息
Over the past decades, topological interface states have attracted significant attention in classical wave systems. Generally, research on the topological interface states of elastic waves is conducted in the lattices with symmetric elements. This paper proposes composite lattices with/without symmetric elements, and demonstrates the realization of tunable topological interface states of elastic waves via parametric *** quantize the topological characteristics of the bands, a modified Zak phase is defined to calculate the topological invariant by the eigenstates for the lattices with/without symmetric elements. The numerical results show that the tunable frequencies of topological interface states can be realized in composite lattices with/without symmetric elements through the modulation of the parametric excitation frequency. The tunable topological interface states can be introduced into the vibration energy harvesting to design efficient and steady energy harvesting systems.
暂无评论