bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhanced amplified spontaneous emission of flexible MAPbBr3 perovskite films with excellent mechanical reliability
Authors: Yang Jun , Luo Haoyue , Zeng Xin , Liu Xinfeng , Yang Jie , Huang Yexiong , Li Shuaiqi , Li Bixin , Qi Qi , Xu Dongmei , Pi Mingyu , Yang Junliang , Zhang Dingke
Published: June 2024

Halide perovskites have been proven to have enormous potential for further flexible optoelectronic devices. However, the repeated mechanical bending and tolerance to moisture corrosion remain a critical challenge for flexible perovskite devices. Solution chemistry of a precursor is the basis for the preparation of high-quality perovskite films and can significantly enhance the lasing performance and humidity stability of perovskites. Herein, from the perspective of solvent engineering, two ionic liquids (ILs) of methylammonium acetate (MAAc) and methylammonium propionate (MAP) were introduced to prepare high-quality MAPbBr3 perovskite films. The as-prepared MAPbBr3 perovskite films exhibit not only enhanced amplified spontaneous emission (ASE) performance but also the excellent mechanical reliability even in a humid environment. Especially, the MAAc-based MAPbBr3 perovskite film possesses the morphology optimization, defect passivation, simultaneous improvements in ASE, and bending durability due to the stronger coordination capacity and reactivity between MAAc and Pb2+. Our work provides an effective strategy for flexible perovskite based photonic devices fueled by the remarkable mechanical reliability.
Dynamic evaporation characteristics of liquefied natural gas droplets
Authors: Cen Kang , Li Mengxin , Jin Jun , Li Yiming , Li Wenxuan , Song Bin , Wei Lie
Published: June 2024

To delve into the intricate evaporation and dispersion mechanisms of dense droplets formed in the vicinity of liquefied natural gas (LNG) accidental releases, it is imperative to first examine the evaporation dynamics of individual moving LNG droplets. This paper presents a visual experimental setup designed to scrutinize the temporal evolution of diameter and displacement of single free-falling LNG droplets. Additionally, eight typical drag force models used for droplet motion state calculations were assessed. The optimal drag force models were selected to accurately predict the displacement of LNG droplets in the wide range of 100 < Re < 10 000. Moreover, eight typical gas phase models applied to predict heat and mass transfer were evaluated, revealing that none accurately capture the dynamic evaporation of free-falling LNG droplets. Subsequently, a new gas phase model suitable for predicting LNG droplet evaporation behavior is proposed. Furthermore, the periodic oscillation behavior of LNG droplet shape during the falling process is uncovered. The oscillation amplitude and dominant frequency of droplets are quantitatively investigated using the aspect ratio of droplets. Finally, an in-house program is developed to comprehensively analyze the evaporation characteristics of LNG droplets under different initial droplet diameters, velocities, and ambient temperatures. Based on gray relational analysis, the relative importance of three impacting factors on the evaporation coefficient is ranked.
Compact and miniaturized wideband bandpass filter based on substrate integrated waveguide and microstrip line
Authors: Liu Haihong , Yang Lingling , Cai Bin , Wu Ling , Cheng Yongzhi , Chen Fu , Luo Hui , Li Xiangcheng
Published: June 2024

In this work, we present a simple design of a compact and miniaturized wideband bandpass filter (BPF) based on substrate integrated waveguide (SIW) and microstrip line. Through the order extension, the filtering effect and the order of the Chebyshev response of the designed BPF can be indirectly controlled by preserving square notches (SNs) on the SIW. By introducing one or two SNs in the SIW structure, the resonance frequencies of different modes can be controlled, thus achieving dual- and tri-mode BPFs with wideband and low insert loss. The working principle of the designed BPFs was illustrated by modal analysis, field distribution, and equivalent circuit theory. Based on this, the dual- and tri-mode BPFs with center frequencies of 6.8 and 7 GHz were designed and demonstrated numerically. Further experimental results indicate that the proposed tri-mode BPF has low insertion loss (0.25 dB), compact size (0.27λg2), and wideband bandwidth (60%). In addition, the tri-mode BPF achieves a broadband out-of-band rejection of 1.5f0 (f0 is the center resonance frequency) below the −10 dB level, making it highly promising for various applications in related fields.
The role of indigenous and traditional foods in achieving food security in Africa: A bibliometric snapshot and farm-to-fork perspective
Authors: Owusu-Kwarteng James , Kehinde Bababode , Ohomeng-Boahen Godfred , Kojo Aduampong Mantey Joshua , Decardi-Nelson Theodora , Agyei Dominic
Published: June 2024

Foods that are produced and processed locally using some forms of traditional knowledge are important for achieving food and nutrition security in Africa. These food crops are generally nutritious, being rich in essential nutrients and bioactive food compounds necessary for health promotion. Additionally, most African indigenous food crops are better adapted to local growing conditions, fulfil economic needs and are highly resistant to abiotic and climate-induced stresses. Hence, the proper utilisation of locally grown and wild foods crops will help contribute to the improvement of food security, nutrition value, health, and income generation in the African continent. In this review, we focus not only on the determinants of food insecurity in Africa but also discuss the scope, nutrition, and health impact of some common locally grown foods in Africa. We also highlight some traditional processing methods for harnessing the value of these foods, as well as farming and economic/agribusiness practices that can be used to promote the cultivation of foods in an African context. In conclusion, we reiterate that the production and processing of sustainable, locally available foods is essential to providing long-term food security for Africa. There is, therefore, the need for empowerment of local farmers and increased investments in research as well as the formulation of national/regional policies that intend to reduce food insecurity with emphasis on indigenous sustainable food systems for improved access to locally available, nutritious, and healthy foods in Africa.
Implementation of One Health Approach in Tanzania: Strengths and Challenges
Authors: Vianney John-Mary , Kimaro Esther G. , Buza Joram , Knight-Jones Theo , Fevre Eric , Richards Shauna , Shirima Gabriel M.
Published: June 2024

One Health (OH) approach has recently been defined by the OH High-Level Expert Panel (OHHLEP) as an integrated, unifying approach that aims to sustainably balance and optimize the health of people, animals, and ecosystems. Under the Prime Minister’s Office (PMO), the OH section (OHS) is responsible for OH implementation. The OHS task is to bring together multiple sectors and disciplines to work together with clear OH approach coordination in the country. Following the recent revision of the OH strategic plan (2022–2027), the OHS is now eligible to receive funding from the government. In addition, through OHS, Tanzania has supporting documents for OH, including the National Action Plan for Antimicrobial Resistance, the prioritized list of zoonotic diseases, and strategic prevention and control plans. Despite these developments in OH in Tanzania, the Capacitating One Health in Eastern and Southern Africa (COHESA) project helped identify the challenges and gaps that Tanzania faces in OH implementation. A baseline assessment study was conducted in four settings: Desktop Review, Focus Group Discussion (FGD), Key Informants Interview (KII), and OH net mapping. Results showed that the country’s OH challenges include a lack of OH resources, OH education inclusiveness, and OH awareness at the subnational level. There are limited suitable OH monitoring mechanisms to assess the progress of the OH approach in Tanzania. Thus, COHESA supports the country in addressing these challenges to improve at all levels of OH sectoral performance in the context of OH governance, education, and implementation.

Information

© The Authors 2024
Can a one-day event trigger interest in quantum physics at the university level?
Authors: Anttila Daria , Lehtinen Antti , Koskinen Pekka
Published: June 2024

The ongoing second quantum revolution and the growing impact of quantum technologies on our society and economy are making quantum physics education even more important. Consequently, there is a lot of research on quantum physics education for university students and even the general public. However, studying quantum physics or any other topic is primarily voluntary and thus a matter of personal interest—and it can only grow from a seed planted earlier. Here, we describe and test how a one-day event designed to trigger interest and change perceptions about quantum physics among physics and mathematics students at the University of Turku, Finland succeeded in meeting its goals. The data was collected from participants through questionnaires and complementary interviews. We found that the event made attitudes and views toward quantum physics more positive, versatile, and realistic. Although the event was too short to notably or permanently elevate the phase of interest when evaluated externally on a four-level scale, self-evaluations still reported an increased interest for most participants. Thus, it appears that even a short event can cultivate the ground to make it fertile for maintaining and developing interest further, for example, by well-designed and -timed quantum physics curriculum.
Two orientation effects and large anisotropy of parameters in piezo-active 2–1–2 composites based on [0 1 1]-poled crystals
Authors: Topolov Vitaly Yu
Published: June 2024

The results of a comparative study on piezo-active 2–1–2 composites with two ferroelectric components are discussed. The composite structure combines elements of 2–2 (laminar) and 1–3 (fibrous) connectivity patterns. The first component in each composite is domain-engineered [0 1 1]-poled single crystal with macroscopic mm2 symmetry and high piezoelectric activity. The second component is a poled ferroelectric ceramic that is represented by parallel rods in the shape of an elliptic cylinder with a large ratio of semi-axes at its base. The first orientation effect is appreciable due to rotations of the main crystallographic axes X and Y around Z || OX
3 by an angle α in each crystal layer. Rotation of the ceramic rod bases by an angle γ in a polymer medium leads to the second orientation effect in the 2–1–2 composite. The two orientation effects contribute to a large anisotropy of electromechanical coupling factors

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A spatiotemporal encoding metasurface design for manipulation of integrated radiation-scattering characteristic
Authors: Hou Jun Hui , Shi Yan
Published: June 2024

This paper presents a spatiotemporal encoding metasurface design to independently achieve the good radiation and the low scattering performances in the same frequency band. The proposed metasurface unit cell is composed of a square patch and two orthogonally placed I-shaped strips. By switching the operating states of the PIN diode inserted into each I-shaped strip between ON state and OFF state, a phase difference of 180° can be obtained in the band of 7.6–7.95 GHz for two orthogonally polarized incident waves. When a coaxial probe is introduced at the diagonal line of the square patch, the dual-polarized radiation capability is achieved within the frequency range of 7.6–7.95 GHz. With the proposed metasurface unit cell, the manipulation of the radiating wave and the scattering wave has no influence on each other. By controlling the PIN operating states by the field programmable gate array in real time, the power of the scattering wave is transferred to some higher order harmonics, thus realizing radar cross section (RCS) reduction. With optimized spatial and temporal encoding layouts, the proposed metasurface realizes the RCS reduction over 10 dB within the range of 7.3–8 GHz, with the maximum RCS reduction of 35.6 dB, while maintaining good radiation capability.
Enhancement of bionic cilia flow rate sensor signals by single-well stochastic resonance
Authors: Fu Yihang , Zhang Xinwei , Lv Leyang , Zhao Haowen , Liu Wu
Published: June 2024

Based on the characteristics of non-periodic signals in bionic cilia flow rate sensors, an investigation on the real-time signal processing methodologies is conducted in single-well stochastic resonance. In this research, we derive a model for an adaptive single-well stochastic resonance system featuring nonlinear recuperation. To assess the scientific robustness and practical viability of the algorithm, a validation experiment was formulated utilizing the single-well stochastic resonance capacitance online detection and processing hardware system. The experimental findings show a notable reduction in noise interference, a marked enhancement in signal quality, and an approximate 0.55 increase in the maximum cross-correlation coefficient among sensor signals. Consequently, the model fulfills the requirements for effectively handling non-periodic signals from sensors.
A signal-adaptive measurement matrix construction algorithm for compressed sensing of sEMG data
Authors: Ma Yehao , Wang Xiaofeng , Liu Bangli , Jiang Chao , Gu Haiyan , Zhong Qiubo , Zhang Haoxiang
Published: June 2024

Surface electromyography (sEMG), serving as a pivotal wearable technology, is a promising tool to assess and monitor muscle function. Yet, the efficacy of a sEMG system faces inevitable constraints, primarily stemming from the challenges of transmission and energy consumption induced by big data. Compressed sensing (CS) is a promising data acquisition solution that takes advantage of the signal sparseness in a particular basis to significantly reduce the number of samples. Current CS methods usually employ random or deterministic measurement matrix to compress sEMG signal. However, these measurement matrices do not integrate the signal feature, which limits the performance of these CS methods. To address this problem, this paper proposes an improved CS method for sEMG data compression. This proposed method introduces a measurement matrix construction algorithm to produce a deterministic matrix tailored for processing sEMG signals. The deterministic measurement matrix integrates the characteristics of the magnitudes of sEMG signals. The simulated signals and experimental signals acquired from the upper limb muscles of the stroke survivors were applied to evaluate the proposed CS method, with results showing that it achieves better reconstruction accuracy and robustness than the CS methods with other measurement matrices. The proposed method employing basis pursuit in the signal reconstruction presents better performance than that employing orthogonal matching pursuit. Hence, we can conclude that the proposed CS algorithm is of key importance for the popularization of sEMG in the wearable health monitoring devices.
Separation of ventilation and perfusion of electrical impedance tomography image streams using multi-dimensional ensemble empirical mode decomposition
Authors: Hülkenberg Alfred Christian , Ngo Chuong , Lau Robert , Leonhardt Steffen
Published: June 2024

Objective. In the future, thoracic electrical impedance tomography (EIT) monitoring may include continuous and simultaneous tracking of both breathing and heart activity. However, an effective way to decompose an EIT image stream into physiological processes as ventilation-related and cardiac-related signals is missing.
Approach. This study analyses the potential of Multi-dimensional Ensemble Empirical Mode Decomposition by application of the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and a novel frequency-based combination criterion for detrending, denoising and source separation of EIT image streams, collected from nine healthy male test subjects with similar age and constitution.
Main results. In this paper, a novel approach to estimate the lung, the heart and the perfused regions of an EIT image is proposed, which is based on the Root Mean Square Error between the index of maximal respiratory and cardiac variation to their surroundings. The summation of the indexes of the respective regions reveals physiologically meaningful time signals, separated into the physiological bandwidths of ventilation and heart activity at rest. Moreover, the respective regions were compared with the relative thorax movement and photoplethysmogram (PPG) signal. In linear regression analysis and in the Bland–Altman plot, the beat-to-beat time course of both the ventilation-related signal and the cardiac-related signal showed a high similarity with the respective reference signal.
Significance. Analysis of the data reveals a fair separation of ventilatory and cardiac activity realizing the aimed source separation, with optional detrending and denoising. For all performed analyses, a feasible correlation of 0.587 to 0.905 was found between the cardiac-related signal and the PPG signal.
Transmissive invisibility cloak using phase gradient metasurfaces
Authors: Wang Yufang , Ge Yuehe , Zhou Ziheng , Chen Zhizhang (David)
Published: June 2024

Different from the reflective approach of the carpet cloak designed to conceal surface irregularities on highly reflective surfaces, the transmission invisibility cloak, often capable of achieving perfect invisibility, operates within a transmission geometry. In this configuration, the cloaking mechanism ensures that an object neither reflects nor refracts incoming waves in free space, presenting opportunities for more versatile applications, though with the requirement for intricate designs. This paper introduces a novel methodology for designing a transmissive invisibility cloak, employing a simplified combination structure of two phase-gradient metasurfaces based on the generalized Snell’s law. Initially, we designed a highly transparent metasurface for the millimeter-wave band to yield diverse phase gradients. We confirmed the effectiveness of this metasurface through the observation of abnormal refraction. Then, through a deliberate arrangement of these phase gradients, we construct a transmissive invisibility cloak that guides electromagnetic waves around the cloaked region. Simulations and experimental measurements conducted under plane-wave conditions demonstrate the cloak’s effectiveness and practical applicability. The ensuing comparative investigations of results among free space, uncloaked objects, and cloaked objects validate the expected cloaking effect, offering valuable insights into the design and functionality of transmissive invisibility cloaks.
Canonical analysis of gravity with dynamical determinant of metric-general case
Authors: Klusoň J
Published: June 2024

We analyse general form of theory with the dynamical determinant of metric. We show that due to the presence of general function of determinant that multiplies scalar curvature the Hamiltonian constraint is second class constraint that makes consistency of this theory questionable.
Low-cost saw/sinus-tooth-shaped circular microstrip patch antenna for in-space and satellite applications
Authors: Avşar Aydin Emine , Akbiyik Hürrem
Published: June 2024

Antennas operating in S and C bands are crucial in space satellite applications due to their high bandwidth, which facilitates the swift transmission of large data volumes from space vehicles to Earth. These bands are less affected by atmospheric disturbances and exhibit lower noise levels, ensuring uninterrupted and reliable communication between spacecraft and Earth centers. They are essential for satellite-based remote sensing, analyzing surface properties, transmitting high-resolution images, scientific data, and other information. Additionally, they are used for spacecraft control and navigation, enabling precise mission operations. This study emphasizes user-friendly production antennas with different geometries and distinct feeding techniques, demonstrating various design implementations using CST Microwave Studio software. Innovative manufacturing methods such as 3D printing PLA substrates and using copper tape for antenna elements were explored to optimize costs and production processes. Precise cutting of antenna radiation geometries was achieved using the Cricut machine. Experimental validation through reflection coefficient (S11) measurements with a handheld vector network analyzer confirmed the practical application of theoretical foundations. The study’s novelty lies in examining unconventional materials like PLA filament for antenna substrates, exploring fractalization theory for enhancing bandwidth, and discussing advancements in material science with flexible filaments like TPU. These contributions offer insights into user-friendly antenna production, innovative manufacturing techniques, and theoretical explorations in antenna design, enhancing the efficiency and effectiveness of space satellite communication systems.
Davidson basis in the shell model for 2p, 2h, and pn nuclei
Authors: Sobhani Hadi , Luo Yan-An , Jalili Amir , Hassanabadi Hassan
Published: June 2024

In this study, we replace the widely used harmonic oscillator basis with the Davidson basis for the shell model computation. The new foundation was introduced and its application to the shell model computation was explained. A detailed discussion is given on the method of calculation and utilization. Then, three cases two-particle, 18O, and two-hole, 38Ar, and proton-neutron nuclei, 6Li, and 18F, that illustrate various scenarios are examined. In these two scenarios, both Davidson bases and harmonic oscillator are used to replicate energy levels and a few electric transition probabilities. We assess each case’s accuracy by comparing the theoretical predictions with the experimental data.
Development and characterization of powder metallurgy processed Al/Fe/SiC/MoS2 hybrid composites
Authors: Zaki Mohammad Umair , Upadhyay Vikas , Hasan Faisal , Sharma Chaitanya
Published: June 2024

This study explores hybrid aluminum matrix composites through powder metallurgy, incorporating silicon carbide, iron, and molybdenum disulfide at varying weight percentages (5%, 10%, and 15%). Defect-free hybrid composites with a uniform distribution of reinforcing particles were fabricated and characterized for microstructure, hardness, density, and wear. The EDX spectra show peaks consistent with Al, Fe, SiC, and MoS2, confirming their presence in developed hybrid composites. The pure aluminum sample presents a relative density higher than that of hybrid composites, while its hardness is lower (25%–41%) than that of hybrid composites. The wear rate decreased with the amount of reinforcing particles. The presence of hard silicon carbide, iron, particles, and lubrication by molybdenum disulfide effectively enhanced the wear behavior of hybrid composites.
Local detailed balance for active particle models
Authors: Khodabandehlou Faezeh , Maes Christian
Published: June 2024

Starting from a Huxley-type model for an agitated vibrational mode, we propose an embedding of standard active particle models in terms of two-temperature processes. One temperature refers to an ambient thermal bath, and the other temperature effectively describes ‘hot spots,’ i.e. systems with few degrees of freedom showing important population homogenization or even inversion of energy levels as a result of activation. That setup admits to quantitatively specifying the resulting nonequilibrium driving, rendering local detailed balance to active particle models, and making easy contact with thermodynamic features. In addition, we observe that the shape transition in the steady low-temperature behavior of run-and-tumble particles (with the interesting emergence of edge states at high persistence) is stable and occurs for all temperature differences, including close to equilibrium.
Blind Spot Detection for Autonomous Driving Using RADAR Technique
Authors: Ramteke A Y , Ramteke P , Dhongade A , Modak U , Thakre L P
Published: June 2024

The ever-changing landscape of the automotive sector has been significantly influenced by technological advancements, particularly the incorporation of Radar technology, have played a vital role in shaping the safety features of modern vehicles. In the automotive industry, radar sensors play a important role in advanced driver assistance systems (ADAS), improving road safety and driver convenience and One of the ADAS latest application is the Blind Spot Monitoring (BSM) system, which addresses the great challenge of driver visibility in certain areas around the vehicle. The BSM system uses radar sensors to detect obscured vehicles or objects, thereby reducing accident risk and improving road safety and driver convenience. As traffic densities rise and vehicles become more interconnected, BSM systems have become essential for safer and more efficient driving. The continuous evolution of radar technology integration demonstrates the automotive industry’s commitment to driver safety and its dedication to using advanced technologies to enhance the driving experience.
Artificial Intelligence in Carbon Capture: Modeling CO2 Absorption Using Amine Blends
Authors: Alavekar Aniruddha , Lanjewar Tejas , Vyawahare Aditya , Patil Mayurkumar P
Published: June 2024

Carbon dioxide (CO2) from burning fossil fuels and other modernistic industrial processes is the main contributor to the greenhouse gas impact and global warming. The substantial quantities of CO2 produced by this exercise emphasize the pressing need to produce effective processes for removing it from gas products in order to prevent hazardous emissions into the atmosphere. This work an aim is to develop a predictive model for estimating the CO2 absorbed rate in various amine blends. The model was used an artificial neural network (ANN) with three inputs, which was trained on a dataset of 159 experimental data points associated with CO2 absorption by amine blends. Sterically hindered amines, primary amines, tertiary amines, and a few promoters along with physical solvents were among the amine blends that were taken into consideration. Three crucial input variables that were included in the study: Amine temperature (T), Blended amine concentration (AmH) and the Partial pressure of CO2(PCO2
), and. RCO2
(unit as, kmol.m−2.s−1), or the rate of CO2 absorption, was the model’s target value. 15 neurons were found to be the ideal count of neural network models, and the dataset’s mean square error (MSE) was found to be 21.18. These findings demonstrated how effectively the created ANN model predicted CO2 absorption rates, representing a crucial step in the processes of carbon capture and sequestration.
Comparative Analysis of Winding of Multiple Yarns on Automated Winding Machine
Authors: sahare Shilpa , kamble Prashant , Suryavanshi V.
Published: June 2024

In this work, an automated yarn winding machine for small-scale industry is attempted to be designed and developed. Any nation’s economy benefits greatly from the textile industry, but in India, where it employs almost 66 million people, this is particularly true. The demand for premium yarn is rising along with the ready-to-wear industry. In order to determine if it is feasible to wind a rod of varying length on an automated winding machine, a comparative investigation of the various yarn materials is conducted in this paper. A few phenomena that may cause yarn strength to decline are also investigated. This led to the discovery that non-traditional winding procedures produce better results than conventional winding approaches. In this the experiments performed on cotton, polyester and wool and compared analysis is done.
Mechanical Design and Tactical Placement Technique of Robust and Reliable Battery Pack for Electric Vehicle- A Review
Authors: Janunkar Rajeshwar , Bhaiswar Vinod , Dandavate Abhijit
Published: June 2024

The great sensitivity of lithium-ion battery packs to external factors such pressure, temperature, and dynamic mechanical stresses might result in a potential failure during thermal runaway in an electric car caused by shaking or collision with a car. Enormous electrification of the commercial and public transit industries is hampered, among other things, by concerns about battery pack safety and reliability. In order to solve these problems, this study covers mechanical design elements. Through examples, the paper shows how basic mechanical elements able to incorporated into the design of battery packing to reduce the likelihood of failure and lessen the previously listed safety issues. In addition, the essential elements of a durable The battery pack has been thoroughly examined, and the resources needed to create these elements and satisfy their operational specifications have been determined. A LEAF battery package design example is used to illustrate the strategic battery pack placement technique. Lastly, the fundamental technical design specifications for a durable and dependable battery packing methods are made public by contrasting the disclosed design choices presented in this article with battery pack design.
Next-Gen Medical Technology a Smart Approach to Syringe Injection Pump Automation
Authors: Dhone Komal Ashok , Joshi Sonali , Sonaskar Sandeep
Published: June 2024

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

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

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

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

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

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

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

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

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

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

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

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

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

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.