bluuebunny/crossref_metadata_2025_split huggingface dataset:
Next-Gen Medical Technology a Smart Approach to Syringe Injection Pump Automation
Authors: Dhone Komal Ashok , Joshi Sonali , Sonaskar Sandeep 
Published: June 2024

Abstract
This presents the design, implementation, and successful validation of a cutting-edge IoT-based Syringe Injection Pump (SIP) for precision medication administration. In response to the increasing demand for enhanced healthcare automation, this system leverages technologies to address critical challenges in medication delivery. This SIP incorporates a robust Internet of Things (IoT) framework, enabling seamless communication between the device and a central healthcare management system. The automated syringe injection process is governed by a sophisticated algorithm that considers patient-specific parameters, ensuring precise dosage administration. Through extensive testing and real-world simulations, the results demonstrate a significant reduction in human error and improved medication adherence. The system’s architecture integrates secure communication protocols, ensuring data confidentiality and integrity during transmission. An innovative user interface provides healthcare professionals with real-time monitoring and control capabilities, enhancing situational awareness and responsiveness. Furthermore, the SIP’s adaptability to diverse medical environments underscores its versatility in meeting the evolving needs of healthcare institutions. To validate the system’s effectiveness, a comprehensive performance evaluations, including dosage accuracy, response time, and reliability under varying conditions was conducted. Results indicate an impressive dosage precision of 99.8%, showcasing the system’s reliability in critical healthcare scenarios. The IoT connectivity facilitates remote monitoring and control, allowing healthcare providers to intervene promptly in case of anomalies or emergencies. In addition to its technical prowess, the SIP aligns with current healthcare trends by promoting sustainability and cost-effectiveness. The automated system optimizes resource utilization, reduces medication waste, and minimizes the environmental impact associated with traditional manual injection methods. In conclusion, this IoT-based Syringe Injection Pump represents a paradigm shift in medical technology, offering a smart and results-oriented solution for precise medication administration. The successful implementation and validation of this system pave the way for improved patient outcomes, streamlined healthcare workflows, and a more sustainable approach to medication delivery. This research contributes to the ongoing discourse on advancing medical technology and underscores the potential of IoT in shaping the future of healthcare.
Lightweight design of prosthetic knee joint based on variable density method
Authors: Tong Xiangbin , Peng Bo , Yi Hang , Su Liang , Peng Ruitao 
Published: June 2024

Abstract
The variable density method has emerged as an efficient approach for tackling the topology optimization challenge in continuous structures. In response to the increasing demand for lightweight prosthetic joints, a lightweight design was conducted, focusing on the front linkage rod - a crucial component of prosthetic joints. This study employed Altair Inspire software to optimize the motion-based topology of the front linkage rod. Additionally, the optimized model underwent geometric reconstruction and strength analysis. Subsequently, both the pre- and post-lightweight models were subjected to 3D printing to determine the weight reduction ratio. After confirming that the weight reduction ratio fell within the acceptable error range, a lightweight model was successfully achieved, exhibiting a remarkable weight reduction of 68.61% when compared to the initial model. This research introduces a fresh perspective on the lightweight design of prosthetic joints in motion, offering valuable insights for future endeavors in this field.
LabVIEW-based rotary balance data synchronization acquisition system design
Authors: Li Jian , Sun Bingyu 
Published: June 2024

Abstract
To solve the problem that many high-precision rotating balance bridge output signals and angular phase signals need to be measured synchronously in wind tunnel force measurement experiments, a rotating balance data synchronization acquisition system is designed based on LabVIEW and NI PXIe acquisition board. LabVIEW graphical programming is applied, combined with STM32F407VET6 processor embedded development of the timing divider, using the equal interval method to obtain the required synchronization trigger signals and use them as the digital trigger signals of the NI PXIe acquisition card. In addition, multi-threaded programming technology is used to develop the upper computer software to realize the storage, display, and analysis of the collected data. The test proved that the system has high testing accuracy, a short development cycle, embedded visualization development is easy to debug, stable operation, and real-time and reliable data synchronization acquisition.
Turbine bearing fault diagnosis based on embedded system
Authors: Zhao Zhikang , Wei Chuankang , Zhao Rentao 
Published: June 2024

Abstract
Failure of the main components of the transmission mechanism of large machinery and equipment usually uses sensors to collect real-time vibration or audio information, followed by data processing on the computer to analyze whether the equipment is operating normally. In this paper, a multi-core embedded fault diagnosis platform based on ARM and DSP is designed. It is small in size. It can independently set the signal types, ranges, and filter parameters of multiple acquisition channels, and synchronously set high-precision acquisition and storage of voltage signals output from various sensors. The DSP adopts the fast Fourier algorithm to analyze the multi-channel sampling data in real time and extracts the fault characteristics through the analysis of envelope demodulation. The operation results show that the system can meet the routine online fault diagnosis of mechanical equipment transmission mechanism, and the fault analysis and diagnosis can reach 95% accuracy within one minute, with high real-time accuracy.
Modelling and simulation of a novel secretary bird-inspired vibration isolator
Authors: Zhang Quan , Jiang Zhan , Yin Xingfeng , Zhou Liping , Li Xingyuan , Li Long , Yi Sicheng 
Published: June 2024

Abstract
In this article, a novel secretary bird-inspired vibration isolator (SBIVI) is presented and investigated. The vibration isolator consists of an X-shaped stiffness adjustment mechanism and a lever arm structure that mimics the leg and wing of the secretary bird respectively. The biodynamics of the secretary bird is briefly introduced. The structure mapping from the body of the secretary bird to the scheme of the proposed SBIVI is analyzed. For the purpose of confirming the isolation performance of the SBIVI, the theoretical dynamics model is built while the virtual prototype simulation is carried out. By adjusting the values of the inertial mass and spring stiffness, the SBIVI can be easily installed with optimal operating conditions. From the simulation results, it is concluded that the vibration suppression ability of the SBIVI surpasses the traditional X-shaped structure within the interest of the frequency bandwidth.
Keycap character detection model based on target classification
Authors: Xiong Taiping , Zhu Zhiguo , Wang Tinghao 
Published: June 2024

Abstract
The production process of keycaps may result in surface character defects. The existing keycap character defect detection technology has low efficiency and accuracy, hindering the automation of keycap manufacturing. Addressing the challenge of extracting the entire keyboard from illuminated regions, this paper proposes a method using image feature points for template matching to extract the region of interest. Subsequently, leveraging prior knowledge, the paper addresses character segmentation and extraction on the keyboard. For character detection, the paper preprocesses images and classifies them by using an S-VGG network, yielding corresponding labels.
Bottleneck identification and transfer prediction for automated production lines based on FNN
Authors: Si Hongwei , Zhou Hongming , Guo Jian , Wang Jiajia , Zhang Yaqi , Liu Zhu , Chen Xu , Zhang Minghai , Gu Zhiyang 
Published: June 2024

Abstract
In a re-entrant production system, the throughput of the whole system depends on the capacity of the bottleneck machine. In this study, a new definition of bottleneck is proposed for a precision forging blade shop. The reinforcement learning algorithm is used to optimize the production scheduling to determine the most suitable scheduling scheme, which lays the foundation for bottleneck identification. Subsequently, the bottleneck identification index system was established according to the optimization objective, and the bottleneck identification problem was transformed into a multi-attribute decision-making problem. Finally, a fuzzy neural network is used for training, and the basic scheduling examples of each flow shop are utilized for bottleneck identification and prediction to verify their effectiveness.
A simulation approach for determining maximal control cycle time in force-compliant assembly under contact force/torque constraints
Authors: Wang Xiaoyao , Qie Xiaohan , Kong Feifei , Du Fuzhou 
Published: June 2024

Abstract
Determining the maximum force feedback control cycle time for an assembly task at a given force/torque threshold is an important basis for designing and evaluating the corresponding force-compliant assembly method. For this issue, this paper proposes a simulation method for determining the maximum force feedback cycle time. The feasible region of the assembly process pose is determined by Monte Carlo simulation. Based on the particle swarm optimization, the pose and motion direction that generate the maximum contact force are found in the feasible region. Finally, dynamic simulation is carried out to determine the maximum force feedback control cycle. Experiments carried out for single-hole assembly show that the proposed approach can effectively determine the maximum force feedback control cycle time, and has a comparative advantage in convergence and total time consumption.
Research on dynamic control technology of production plan based on modified BOM
Authors: Su Ping 
Published: June 2024

Abstract
This paper describes a dynamic control technology of production planning based on modified Bom. Firstly, the modified BOM information is constructed based on the reservation relation after the MRP operation. Then, based on the planning network graph model, the critical task node and its critical path are found, and the running status is monitored in real time. The critical path is modified dynamically, and the method is proved to be scientific and feasible by an example. In this paper, an intuitionistic and dynamically updated plan network chart is generated by the system’s automatic mapping, which is used to guide the production managers in making plans, adjusting plans, reporting progress, and performing other daily work. In addition, the critical path technology is applied to assist the production decision-maker in identifying the key tasks that need the key support, thus further improving the production management and control ability of the enterprise, which has very good social benefits.
Study on the effect of carbon fiber grid plate layup on substrate-solar cell thermal adaptation
Authors: Qiao Weiwei , Xu Jingjing 
Published: June 2024

Abstract
The differences in the configuration and thermal expansion coefficient of solar cell modules result in thermal stress when solar cells undergo high and low-temperature cycles in orbit, which induces the failure of battery module connections. In this paper, finite element modeling and simulation methods are used to study the thermal compatibility design of four different layers of rigid carbon fiber mesh panels: [0/90]3s, [0/90-45/-45-0/90], [0/90-45-45/-45], and [45/-45]3s. The results show that the substrate configuration with a larger proportion of 0/90 layers has good thermal adaptability for the interconnect-oriented battery array.
Study on hydraulic characteristics of two-direction flow at the inlet/outlet of a large pumped storage station
Authors: Li Yu , Xue Kaizhen 
Published: June 2024

Abstract
The inlet/outlet is one of the most important parts of a pumped storage power station. Improper designs will cause problems such as suction vortex and increased head loss, which will affect the operation efficiency of the power station. This paper takes the inlet/outlet of a pumped storage power station in Zhejiang Province as an example for research. The upper reservoir inlet/outlet takes itself and the surrounding terrain, gully, and dam as the research object, and conducts physical model tests; the lower reservoir inlet and outlet take itself and the surrounding stone factory and other mountain terrain as the research object, and conduct numerical simulation studies. On this basis, the rationality of the scheme is explored and the optimization scheme is found, which can be used as a reference for similar engineering designers.
Numerical simulation of the effect of current density and cathode inlet humidity on the PEMFC with anode self-humidifying circulating
Authors: Guo Zhensong 
Published: June 2024

Abstract
The use of circulating gas self-humidification for fuel cell anodes will reduce the use of external humidifiers, thus reducing the cost and layout space, so most fuel cells use the anode self-humidification cycle mode. However, there is little research on the 3D simulation of PEMFC considering the anodic self-humidification cycle. In this paper, a three-dimensional PEMFC model considering the anode self-humidification cycle was established to explore the effects of working current density and cathode inlet humidity on the fuel cell performance of the anode self-humidification cycle. The results show that in anode cycling mode, higher working current density has advantages, but the advantages of high cathode inlet humidity are not obvious, and the performance of low cathode inlet humidity is not bad in anode cycling mode. In anode cycling mode, it is recommended to use high current density between medium and high current density. Between medium and high cathode intake humidity, a medium cathode intake humidity is recommended.
Research on quantitative assessment method of multi-time scale regulation capability of heat source tower heat pump for grid regulation demand
Authors: Chen Hongyin , Wang Songcen , Gan Yeping , Zhong Ming , Wang Xiaoming , Guo Yi , Xu Bin , Liu Chao 
Published: June 2024

Abstract
In the context of power saving, the increasing energy consumption of air conditioning and the limited energy demand has become an urgent problem. Therefore, according to the feature that the accuracy of grid load forecasting improves gradually with the shortening of time scale and the flexible intra-day regulation characteristics of heat pump units, a multi-timescale regulation model of a heat pump system is developed. Aiming for the lowest operating costs and best performance, three system scheduling scenarios were developed: day-ahead, mid-day, and real-time, respectively. Through the coordination of multiple time scales, it is ensured that the output of the system meets the requirements of the grid. Taking the Wuhan area with four heat source tower units as an example, a simulation experiment comparing the performance of the multi-timescale scheduling method with the day-ahead scheduling method was conducted in the same system, which showed that compared to the day-ahead scheduling method, the multi-timescale scheduling method can reduce the system energy consumption by 13.1% and improve the system performance factor by 12.4%.
A study of the latest updates of the readout system for the hybird-pixel detector at HEPS
Authors: Li Hangxu , Zhang Jie , Wei Wei , Li Zhenjie , Ji Xiaolu , Zhang Yan , Yang Xuanzheng , Zhang Shuihan , Ma Xueke , Liu Peng , Wang Zheng , Chen Yuanbai 
Published: June 2024

Abstract
The High Energy Photon Source (HEPS) represents a
fourth-generation light source. This facility has made unprecedented
advancements in accelerator technology, necessitating the
development of new detectors to satisfy physical requirements such
as single-photon resolution, large dynamic range, and high frame
rates. Since 2016, the Institute of High Energy Physics has
introduced the first user-experimental hybrid pixel detector,
progressing to the fourth-generation million-pixel detector designed
for challenging conditions, with the dual-threshold single-photon
detector HEPS-Beijing PIXel (HEPS-BPIX) set as the next-generation
target. HEPS-BPIX will employ the entirely new Application-Specific
Integrated Circuit (ASIC) BP40 for pixel information readout. Data
flow will be managed and controlled through readout electronics
based on a two-tier Field-Programmable Gate Array (FPGA) system: the
Front-End Electronics (FEE) and the Input-Output Board (IOB) handle
the fan-out for 12 ASICs, and the μ4FCP is tasked with
processing serial data on high-speed links, transferring pixel-level
data to the back-end RTM and μTCA chassis, or independently
outputting through a network port, enabling remote control of the
entire detector. The new HEPS-BPIX firmware has undergone a
comprehensive redesign and update to meet the electronic
characteristics of the new chip and to improve the overall
performance of the detector. We provide an overview of the core
subunits of HEPS-BPIX, emphasizing the readout system, evaluating
the new hardware and firmware, and highlighting some of its
innovative features and characteristics.
Wastewater discharges and urban land cover dominate urban hydrology signals across England and Wales
Authors: Coxon Gemma , McMillan Hilary , Bloomfield John P , Bolotin Lauren , Dean Joshua F , Kelleher Christa , Slater Louise , Zheng Yanchen 
Published: June 2024

Abstract
Urbanisation is an important driver of changes in streamflow. These changes are not uniform across catchments due to the diverse nature of water sources, storage, and pathways in urban river systems. While land cover data are typically used in urban hydrology analyses, other characteristics of urban systems (such as water management practices) are poorly quantified which means that urbanisation impacts on streamflow are often difficult to detect and quantify. Here, we assess urban impacts on streamflow dynamics for 711 catchments across England and Wales. We use the CAMELS-GB dataset, which is a large-sample hydrology dataset containing hydro-meteorological timeseries and catchment attributes characterising climate, geology, water management practices and land cover. We quantify urban impacts on a wide range of streamflow dynamics (flow magnitudes, variability, frequency, and duration) using random forest models. We demonstrate that wastewater discharges from sewage treatment plants and urban land cover dominate urban hydrology signals across England and Wales. Wastewater discharges increase low flows and reduce flashiness in urban catchments. In contrast, urban land cover increases flashiness and frequency of medium and high flow events. We highlight the need to move beyond land cover metrics and include other features of urban river systems in hydrological analyses to quantify current and future drivers of urban streamflow.
Maize migration mitigates the negative impact of climate change on China’s maize yield
Authors: Su Xun , Chen Minpeng 
Published: June 2024

Abstract
Crop migration as an adaptation to modulate climate change’s impact on crop yields presents both benefits and risks. We explored how maize migration in China modulates yield responses to climate change and quantified the potential economic benefits of maize migration as an adaptation strategy. We employed a panel data model to identify and measure the factors driving the relocation of maize area, linear regression to quantify the effects of maize migration on climate exposure and irrigated area, and an econometric model to estimate the effects of maize migration on yield. The results show that rise in temperature has a significant negative effect on maize area and that precipitation has a significant positive effect. The migration of maize area is driven by socio-economic factors including agricultural gross domestic product, power of farming machines, and fertilizer input. Moreover, expanded irrigation reduces the adverse effects of high temperatures on maize yield, thereby influencing adaptive crop migrations. The beneficial effects of maize migration are primarily achieved by reducing the adverse effects of extreme heat and strengthening the positive effects of irrigation. However, the extent of this adaptation is jointly affected by agricultural policies, irrigation infrastructure, and economic factors. Current market-oriented agricultural policies may be effective in guiding spatial shifts in maize distribution to align with climate-driven changes, potentially decreasing the vulnerability of China’s maize yield to the impact of climate change. China’s food security policies need to consider climate-driven spatial shifts in crop cultivation and enhance food subsidy policies to highlight the benefits of investment in climate change adaptation, such as adjusting cropping acreage and irrigation to farmers in North China.
Wind-driven sediment exchange between the Indian marginal seas over the last 18 000 years
Authors: Kang Xiaoying , Yu Zhaojie , Song Lina , Colin Christophe , Wilson David J , Song Zehua , Su Bai , Tang Xiaojie , Chang Fengming , Bassinot Franck , Wan Shiming 
Published: June 2024

Abstract
The Indian Coastal Current is the only channel for material exchange between the two largest marginal seas in the northern Indian Ocean: the Bay of Bengal and the Arabian Sea. However, its past history is poorly known, limiting accurate predictions of its future changes. Here, we present a new clay mineral record from south of India supported by interpretations of model simulations to trace its variability over the last 18 000 years. Decreased smectite/(illite + chlorite) ratios during the cold intervals suggest that a stronger northeasterly wind led to a mean southward flow of the Indian Coastal Current in the Bay of Bengal. In contrast, increased smectite/(illite + chlorite) ratios during the warm intervals suggest the opposite scenario. Combining the proxy record with model simulations, we infer that atmospheric circulation changes were the main driver of the changes. Moreover, a possible link is observed between a positive Indian Ocean Dipole (IOD) and weakened southward flow of the Indian Coastal Current in the Bay of Bengal during the Holocene. These findings imply that future warming scenarios, if associated with more intense positive IOD events as proposed, may lead to a reduction in fresh water transport from the Bay of Bengal to the Arabian Sea.
Refrigeration by modified Otto cycles and modified swaps through generalized measurements
Authors: Behzadi Naghi 
Published: June 2024

Abstract
We introduce two types of thermodynamic refrigeration cycles obtained through modification of the Otto cycle refrigerator by a generalized measurement channel. These refrigerators are corresponding to the activation of the measurement-based stroke before (first type) and after (second type) the full thermalization of the cooling medium by the cold reservoir in the related familiar Otto cycle. We show that the coefficient of performance for the first type modified refrigerator increases linearly in terms of measurement strength parameter, beyond the classical cooling of the familiar Otto cycle refrigerator. The second type interestingly introduces an autonomous refrigerator whose supplying work is provided by a quantum engine induced by the measurement channel and operates simultaneously inside the modified cycle. By the considered measurement channel, we also establish such modifications on the swap refrigerator. It is observed that the thermodynamic properties of the obtained modified swap refrigerators are the same as of the modified Otto cycle ones respectively.