A lumped kicker magnet system is being developed as part of the electron beam switchyard of Shanghai High repetition rate X-ray free electron laser (XFEL) and Extreme Light (SHINE) at Shanghai Advanced Research Institute (SARI), Chinese Academy of Sciences (CAS). SHINE is a linac-based facility with an energy of 8 GeV and a repletion rate of 1 MHz, aiming for a multi-beamline mode of operation to improve the efficiency of the user experiments. The kicker is located in a tunnel and appears to be a critical element of the defection system and determines the stability performance of the beamlines. To allow autonomous and reliable operation in a harsh environment, a dedicated control system based on the Experimental Physics and Industrial Control System (EPICS) is developed. In this work, status acquisition, control scheme, and alarm handlers are programmed via a programmable logic control (PLC) based human machine interface (HMI). A compact and modular design of the controller, including four slots (trigger, timing, external, and power supply interlock) and HMI are integrated to allow easy maintenance and operation. In addition, a waveform acquisition framework based on LabVIEW is built to ensure the intuitive demonstration of the kicker waveforms. This enables the waveform real-time diagnosis and fast-tracking if any distortions occur in the beamlines. Detailed design – overall concept, achieved performance, and initial tested results - of two modular configurations of the controllers are provided for further demonstration.

Objective This paper is aim to provide a digital evaluation method based on Multiple Electrical Performance Parameters (MEPP), to evaluate the health of the medical devices scientifically. Methods Firstly, the circuit characteristics of the medical devices were analyzed to establish the theoretical basis and evaluation index for the evaluation system. Then, based on the experience of the health status of medical equipment in the whole life cycle, the health status of the medical devices is correlated with the electrical performance parameters in this paper. Finally, this paper selected 4 different brands of monitors. The maintenance records of our hospital as result were to gain the stability of each brand, and calculate the stability value of 4 devices through the electrical performance. The health status is scored and evaluated at last. Results The experimental result shows that the scores of 4 devices are 83.9, 88.1, 89.5, 81 respectively. After checking and comparing the maintenance frequency, it is found that it conforms to the order of stability. And the experiment results of the same brand monitor also show that the stability is consistent. Conclusion Aiming at the electrical performance parameters of the monitors, this study provides a scientific evaluation for the health status of the monitors and similar medical equipment. It’s a basis for new computer technology application to traditional circuit detection.

Over the last decades, halide materials, represented by organic-inorganic hybrid perovskites, have emerged with great potential for the next-generation photonic and optoelectronic devices. In particular, their excellent photonic and optoelectronic properties can be further engineered by chemical compositions, material sizes, device structures, external fields and so on. More recently, tuning of dimensionality plays a significant role in promoting the properties of organic-inorganic hybrid perovskites. Originating from shape diversity and quantum confinement effect, the emerging different forms of perovskites, such as nanocrystals, nanowires/nanorods, nanoplatelets/nanosheets and ultra-thin films, have heralded new opportunities for novel physical phenomenon and high-performance devices. Particularly, the ultra-thin organic-inorganic hybrid perovskites, which combing the advantages of two-dimensional (2D) materials and organic-inorganic hybrid perovskites, are attracting more interest thanks to the exotic and unique properties. Considering the ultra-smooth surface and interface, ultra-thin organic-inorganic hybrid perovskites based heterostructures with van der Waals contacts can be artificially designed without considering the lattice matching. More novel properties will emerge and can be easily engineered by the strong interface coupling in ultra-thin organic-inorganic hybrid perovskites stacks. By flexible design of heterostructures based on ultra-thin organic-inorganic hybrid perovskites and their integration with diverse 2D materials, it offers many possibilities to discover new properties and device functionalities within the 2D family in the fields of green energy, sensor, integrated circuit and so on. In this presentation, I will introduce my achievements in the fields of ultrathin 2D organic-inorganic hybrid perovskites, including the materials design and preparations, heterostructure constructions, optical properties explorations and optoelectronic device designs.

Multimodal sentiment analysis has considerable potential and importance, but most of the existing methods face difficulties in adapting to complex environments and scenarios. To address these challenges, we propose a self-supervised feature fusion multimodal sentiment analysis model based on the Mamba architecture. The model abandons the traditional Transformer architecture and adopts the Mamba model, leveraging its advantages of efficiently processing long sequences and low computational complexity. Firstly, we utilize the Mamba model to extract features from text, audio, and visual modalities. To further optimize the feature fusion process, we introduce an improved cross-modal attention fusion module based on Mamba, which intelligently selects and fuses key information from different modalities using the unique selective state space model structure of Mamba when processing different types of data, thereby enhancing the accuracy of sentiment analysis. Additionally, we propose a novel feature fusion strategy that combines the powerful representation capabilities of the Mamba model with the cross-modal attention mechanism of the Transformer to more effectively integrate data features extracted by pre-trained models. To evaluate the performance of the proposed model, experiments were conducted on three public datasets: CMU-MOSI, CMU-MOSEI, and IEMOCAP. Compared with previous multimodal sentiment analysis models(such as MulT, ICCN, etc.), the experimental results demonstrate that our proposed model exhibits significant improvements in the evaluation metrics, thereby validating the effectiveness and robustness of our methodology.

Energy storage systems based on batteries (e.g., Lead-acid and Lithium-ion batteries) are widely explored in cooperation with renewable energies such as photovoltaic (PV) power generation to achieve a carbon-neutral sustainable society. Among various batteries, Nickel-Zinc (NiZn) battery could be a suitable candidate for storing renewable energies due to their non-flammable materials and lower cost as compared to other battery technologies like Lithium-ion. However, the voltage window of a NiZn battery is usually smaller (around 1.3V to 1.9V) which is incompatible with power systems running at 48 Vdc or even 400 Vdc bus. To address this, series-connected cells are usually used to provide a higher bus voltage and thus a larger system capacity, which may however suffer from voltage unbalance as the number of the series-connected cells increases.

This paper proposes a switched-capacitor voltage equalizer for 30 series-connected NiZn battery cells. Due to the low-voltage feature of the NiZn battery, it uses low-voltage semiconductor devices and capacitors to automatically transfer power among NiZn cells. Moreover, the switches can operate at a high switching frequency to reduce the overall size of the reactive components. Analyses of the switched-capacitor equalizer are given, followed by simulation and design guidelines on key components. Comparisons of three types of switched-capacitor circuits are presented to discuss the pros and cons. Control strategies for the power switches are also elaborated. Experimental results of the low-voltage, low-profile switched-capacitor equalizer for a battery string consisting of 30 series-connected NiZn battery cells confirm that the proposed switched-capacitor equalizer is able to maintain similar voltages among different cells while providing a cost-effective solution for battery energy storage systems.