bluuebunny/crossref_metadata_2025 huggingface dataset:
Vernacular voices in the public sphere
Authors: Gill Martin
Published: July 2024

Though criticized for attracting bigots and haters,
‘below the line’ (BTL) comment spaces extend the public sphere to include
vernacular voices that rarely figure in mainstream democratic debate. This
study examines interaction among commenters in a corpus of comments posted
to the British newspaper the Express on the divisive issue
of Britain’s withdrawal from the European Union. It shows how in this
context regular BTL commenters create and perform an authentic ‘Brexiter’
identity in opposition to public norms of civility, through displays of
in-group solidarity and collective out-group hostility. It further shows how
this aggressive behaviour is deliberately orchestrated and channelled by the
newspaper itself. The study suggests that, as a result, the common ground
essential to democratic participation is not being extended but eroded, to
the detriment of all.
Variation in psychopathological terminology
Authors: Vezzani Federica , Costa Rute
Published: July 2024

Representing specialized knowledge in the medical domain implies considering the dynamism of scientific and
technological progress. The advancement of knowledge on diseases goes hand in hand with the reconceptualization processes
undertaken by experts with consequent conceptual evolutions and possible variations of the terms used to designate medical
concepts. Sometimes term variation is the result of a desire to avoid or overcome negative connotations anchored in medical terms,
and leads to the creation of less evaluatively charged terms that carry a diminished ideological load.

This study illustrates the case of Body Dysmorphic Disorder (BDD), a relatively under-/misdiagnosed medical
condition which has been the object of multiple reconceptualizations by experts. We focus on the analysis of the conceptual
evolution of BDD and the consequent variation occurring at the linguistic level. We adopt the theoretical assumption that
terminology has a double dimension – conceptual and linguistic. Following on this assumption, the terminologist must examine both
the experts’ conceptualizations of a given domain and the discourses produced by them in order to effectively represent the
specialized knowledge of a specific subject field. To complete the analysis, we present how information about BDD is disseminated
to non-experts through the analysis of a corpus of mass-media articles.
Metaphors for legal terms concerning vulnerable people
Authors: Mannoni Michele , Cavalieri Silvia
Published: July 2024

This study takes a cognitive view of metaphor to investigate the terms designating vulnerable people used in two
legal languages, namely English as used in the European Union and Mandarin Chinese. We applied a discourse dynamics approach to
metaphor to explore the implicit connotations of the terms identifying different groups of vulnerable people (e.g., minors,
disabled people, victims of human trafficking). The findings show that even when appearing in legal texts, many of the key terms
for these groups are not objective, nor are they unbiased and detached from our subjective and bodily experience of the world.
When these terms are connoted, they tend to have negative connotations, raising concerns about their social implications. This
study highlights the entailments of embodiment theories for terminology and proposes that the identification of groups of
vulnerable people is a social product motivated by unconscious relations of power rather than relations of assistance and
reciprocity.
SARS-CoV-2 brainstem encephalitis in human inherited DBR1 deficiency
Authors: Chan Yi-Hao , Lundberg Vanja , Le Pen Jérémie , Yuan Jiayi , Lee Danyel , Pinci Francesca , Volpi Stefano , Nakajima Koji , Bondet Vincent , Åkesson Sanna , Khobrekar Noopur V. , Bodansky Aaron , Du Likun , Melander Tina , Mariaggi Alice-Andrée , Seeleuthner Yoann , Saleh Tariq Shikh , Chakravarty Debanjana , Marits Per , Dobbs Kerry , Vonlanthen Sofie , Hennings Viktoria , Thörn Karolina , Rinchai Darawan , Bizien Lucy , Chaldebas Matthieu , Sobh Ali , Özçelik Tayfun , Keles Sevgi , AlKhater Suzan A. , Prando Carolina , Meyts Isabelle ,   COVID Human Genetic Effort, Bastard Paul , Borghesi Alessandro , Bousfiha Aziz , Boyarchuk Oksana , Brodin Petter , Bustamante Jacinta , Casari Giorgio , Chevalier Rémi , Christodoulou John , Colobran Roger , Condino-Neto Antonio , Aldave Becerra Juan Carlos , Arkin Lisa , Andreakos Evangelos , Thorball Christian W. , Espinosa Sara , Flores Carlos , Geraldo Amyrath , Halwani Rabih , Hatipoğlu Nevin , Melaiki Brahim , Fellay Jacques , Gagro Alenka , Itan Yuval , Jeewandara Chandima , Haerynck Filomeen , Mansouri Davood , Naesens Leslie , Ng Lisa F.P. , Okamoto Keisuke , Soler-Palacin Pere , Renia Laurent , Onofre Aurora Pujol , Resnick Igor B. , Franco Restrepo José Luis , Rivière Jacques G. , Scherbina Anna , Šedivá Anna , Seppänen Mikko R.J. , Su Helen , Tangye Stuart G , Temel Sehime G. , Tayoun Ahmad Abou , Turvey Stuart , Uddin K.M. Furkan , van de Beek Diederik , Le Voyer Tom , Vinh Donald C. , Zhang Shen-Ying , Casanova Jean-Laurent , Wilson Michael R. , Rosain Jérémie , Jouanguy Emmanuelle , Aubart Mélodie , Abel Laurent , Mogensen Trine H. , Pan-Hammarström Qiang , Gao Daxing , Duffy Darragh , Cobat Aurélie , Berg Stefan , Notarangelo Luigi D. , Harschnitz Oliver , Rice Charles M. , Studer Lorenz , Casanova Jean-Laurent , Ekwall Olov , Zhang Shen-Ying
Published: July 2024

Inherited deficiency of the RNA lariat–debranching enzyme 1 (DBR1) is a rare etiology of brainstem viral encephalitis. The cellular basis of disease and the range of viral predisposition are unclear. We report inherited DBR1 deficiency in a 14-year-old boy who suffered from isolated SARS-CoV-2 brainstem encephalitis. The patient is homozygous for a previously reported hypomorphic and pathogenic DBR1 variant (I120T). Consistently, DBR1 I120T/I120T fibroblasts from affected individuals from this and another unrelated kindred have similarly low levels of DBR1 protein and high levels of RNA lariats. DBR1 I120T/I120T human pluripotent stem cell (hPSC)–derived hindbrain neurons are highly susceptible to SARS-CoV-2 infection. Exogenous WT DBR1 expression in DBR1 I120T/I120T fibroblasts and hindbrain neurons rescued the RNA lariat accumulation phenotype. Moreover, expression of exogenous RNA lariats, mimicking DBR1 deficiency, increased the susceptibility of WT hindbrain neurons to SARS-CoV-2 infection. Inborn errors of DBR1 impair hindbrain neuron–intrinsic antiviral immunity, predisposing to viral infections of the brainstem, including that by SARS-CoV-2.
Manganite memristive devices: recent progress and emerging opportunities
Authors: Schulman A , Huhtinen H , Paturi P
Published: July 2024

Manganite-based memristive devices have emerged as promising candidates for next-generation non-volatile memory and neuromorphic computing applications, owing to their unique resistive switching behavior and tunable electronic properties. This review explores recent innovations in manganite-based memristive devices, with a focus on materials engineering, device architectures, and fabrication techniques. We delve into the underlying mechanisms governing resistive switching in manganite thin films, elucidating the intricate interplay of oxygen vacancies, charge carriers, and structural modifications. This review underscores breakthroughs in harnessing manganite memristors for a range of applications, from high-density memory storage to neuromorphic computing platforms that mimic synaptic and neuronal functionalities. Additionally, we discuss the role of characterization techniques and the need for a unified benchmark for these devices. We provide insights into the challenges and opportunities associated with the co-integration of manganite-based memristive devices with more mature technologies, offering a roadmap for future research directions.
Pressure scaling laws for partial discharges in wedge-shaped, dielectric-bounded gas gaps
Authors: Färber R , Šefl O , Franck C M
Published: July 2024

A pressure scaling law for the partial discharge inception voltage (PDIV) of wedge-shaped, dielectric-bounded gas gaps is derived and experimentally validated. The investigated prototypical electrode geometry is of relevance in a number of practical applications, such as contacting enameled wires in electric motors or transformers. The derived pressure scaling law is of particular interest for electric propulsion in aviation systems. The results show that the PDIV can be accurately parametrized from first principles as a function of the scaling parameter

p
⋅
s

/

ε
r

, where p is the gas pressure, s is the thickness of the insulating coating and ɛ
r its relative dielectric permittivity. Previously published empirical relationships between the PDIV and pressure are shown to be local approximations of the presented general scaling law. In particular, the often assumed linear relation of PDIV with pressure is shown to not be generally valid.
HTG transformation: an amplitude modulation method and its application in bearing fault diagnosis
Authors: Qiao Xi , Zhang Kun , Zhang Xiangfeng , Zhang Long , Xu Yonggang
Published: July 2024

Rolling bearings are critical components in modern mechanical equipment, and the health monitoring and predictive maintenance of bearings are crucial for the normal operation of machinery. Hence, there is a compelling need to delve into advanced methodologies for enhancing the detection of fault characteristics in bearings. Faulty bearings produce periodic impulses during constant-speed rotation, which can typically be detected through envelope analysis. However, in some complex conditions, the relevant fault frequencies may be hidden within interfering components. This paper presents an amplitude modulation technique called the hyperbolic tangent Gaussian (HTG) transformation, designed to extract weak fault components from signals. Firstly, a family of amplitude modulation functions, known as the HTG functions, is constructed. These functions modulate signals with normalized amplitudes to obtain a series of modulated signals. Simultaneously, a frequency domain amplitude ratio metric is used for the automatic selection of the optimal components. Finally, the HTGgram is introduced, a spectral decomposition method based on trend components, aiming to identify the best combination of filtering and modulation components. Simulations with multi-component bearing fault signals and experimental signals with composite bearing faults demonstrate that this method not only highlights fault features and suppresses noise interference but also adaptively selects frequency bands related to faults, enhancing fault information. This approach exhibits excellent adaptability and effectiveness in complex operating conditions with multiple interference components.
Ozone production by an He+O2 radio-frequency atmospheric pressure plasma jet driven by tailored voltage waveforms
Authors: Harris Benjamin , Dedrick James P , Niemi Kari , Wagenaars Erik
Published: July 2024

Atmospheric pressure plasma jets are efficient sources of reactive oxygen and nitrogen species with potential applications in medicine, materials processing, green industry and agriculture. However, selective control over the production of reactive species presents an ongoing challenge and a barrier to the widespread uptake of these devices in applications. This study therefore investigates the production of ozone by a radio-frequency plasma jet driven with tailored voltage waveforms composed of up to five consecutive harmonics, with a fundamental frequency of 13.56 MHz. The plasma is supplied with helium with small admixtures (0.1%–1.0%) of oxygen gas. The ozone density in the far effluent is measured with Fourier transform infrared spectroscopy and the gas temperature in the plasma channel is determined with optical emission spectroscopy. Voltage waveform tailoring is found to enhance the ozone density in the far effluent of the plasma jet in comparison to operation with single-frequency voltage waveforms. Increasing the number of applied harmonics in the driving voltage waveform for a fixed peak-to-peak voltage enhances the ozone density but significantly increases the gas temperature within the plasma channel. Meanwhile, increasing the number of applied harmonics while maintaining a constant RF power deposition allows the density of ozone in the effluent to be increased by up to a factor of 4 relative to single-frequency operation, up to a maximum density of 5.7

×

10

14

 cm−3, without any significant change to the gas temperature. This work highlights that tailored voltage waveforms can be used to control the density of ozone delivered through the plasma effluent, marking an important step towards realising the potential of these plasmas for applications.
Gravitational wave signatures of a chiral fermion dark matter model
Authors: Abe Tomohiro , Babu K.S. , Kaladharan Ajay
Published: July 2024

Theories in which the dark matter (DM) candidate is a fermion transforming chirally under a gauge symmetry are attractive, as the gauge symmetry would protect the DM mass. In such theories, the universe would have undergone a phase transition at early times that generated the DM mass upon spontaneous breaking of the gauge symmetry. In this paper, we explore the gravitational wave signals of a simple such theory based on an SU(2)D dark sector with a dark isospin-3/2 fermion serving as the DM candidate. This is arguably the simplest chiral theory possible. The scalar sector consists of a dark isospin-3 multiple, which breaks the SU(2)D gauge symmetry and also generates the DM mass. We construct the full thermal potential of the model and identify regions of parameter space which lead to detectable gravitational wave signals, arising from a strong first-order SU(2)D phase transition, in various planned space-based interferometers, while also being consistent with dark matter relic abundance. The bulk of the parameter space exhibiting detectable gravitational wave signals in the model also has large WIMP-nucleon scattering cross sections, ℴSI, which could be probed in upcoming direct detection experiments.
A novel semiquantum key distribution protocol with Bell states
Authors: Sun Zhenying
Published: July 2024

In this paper, a novel semiquantum key distribution (SQKD) protocol is proposed using Bell states, where quantum Alice can share

N

secret bits with semiquantum Bob via a quantum channel. Semiquantum Bob is required to measure particles with the

Z

basis (i.e.

{

|
0
⟩

,

|
1
⟩

}

), produce fresh particles within the

Z

basis and send particles via a quantum channel. Security analysis turns out that this protocol is immune to various attacks launched by the outside eavesdropper. Compared with present SQKD protocols using Bell states without a third party (Sun et al 2011 arXiv:1106.2910v3; Wang et al 2011 Chin. Phys. Lett.
28 100301; Wu et al 2022 Front. Phys. 10 1029262), on the one hand, this protocol has the highest qubit efficiency; and, on the other hand, the reflecting operations of the semiquantum user in this protocol contribute to the generation of final shared keys.
Corrigendum: Monitoring of thermal deformations of a highway bridge: Comparison of geodetic measurements, finite element simulations and AI predictions (2024 J. Phys.: Conf. Ser. 2647 252023)
Authors: Lorenz R , Petryna Y
Published: July 2024

Please see Article PDF for corrigendum text.
Overview of research status and key technologies of bionic flapping wing aircraft
Authors: Yuan Li , Yubo Zhang
Published: July 2024

The design of bionic flapping-wing aircraft, drawing inspiration from birds and insects’ aerodynamic traits and flapping patterns, exhibits distinct advantages at low Reynolds numbers—a limitation of conventional fixed-wing and rotorcraft. Hummingbirds, renowned for their hovering, forward, and backward flight capabilities, inspire military and other applications seeking both performance and concealment. This paper summarizes research progress and key technologies in bionic flapping-wing aircraft, focusing on bird flight mechanisms and the design of hummingbird-mimicking aircraft. Key mechanisms like delayed stall, added mass effect, and wake capture are highlighted. The paper also outlines design considerations and identifies key bottlenecks and future trends in this exciting field.
Linked multidisciplinary optimisation of a twin-shaft turbine of a promising turboshaft engine
Authors: Popov G M , Zubanov V M , Baturin O V , Scherban A I
Published: July 2024

The paper presents the results of the linked multidisciplinary optimisation of a single-stage turbine of a compressor and a single-stage free turbine of a promising turboshaft engine. In the process of optimisation, gas dynamic, strength, design and technological constraints were taken into account. Calculation of gas dynamic parameters was performed using 3D CFD modelling. Calculation of strength parameters was performed using 3D CSM modelling. Analysis of geometrical parameters of blade profiles was performed using in-house developed programmes. The geometrical parameters of the blade profiles were used as varied parameters. The total number of varying parameters was 194. As a result of solving the optimisation task, a turbine variant was found with the compressor turbine efficiency 0.32 % higher than that of the original turbine, as well as with the efficiency of the free turbine 0.7 % higher than that of the original one. At the same time the fulfilment of all constraints is ensured.
LAVIT (LAVavatory system for Interplanetary Travels) for NASA’s Artemis Program
Authors: Karmakar Riya , Shastri Bhardwaj , Choomjinda Ubol , Mukundan Arvind , Wang Hsiang-Chen
Published: July 2024

NASA’s Artemis program aims to land on the Moon by 2024. Returning to the Moon will establish a base for future crewed Mars missions. Many efforts are underway to provide astronauts with equipment, housing, and other assistance as the prospect of returning to the Moon. Mass reduction, volume reduction, energy efficiency improvements, and operational optimization are the goals. Astronauts will urinate and defecate in microgravity and lunar gravity after eating and drinking. During their time inside the spacecraft and outside of their spacesuits, astronauts will require a toilet that possesses equivalent functionalities to that found on Earth. Therefore in this study, a complete lavavatory system for interplanetary travels have been developed and designed.
Image Matching-Based Visual-Inertial Integrated Navigation for UAV in GNSS-Denied Environments
Authors: Huang Tianqi , Zhou Yibiao , Zhang Bihui
Published: July 2024

For unmanned aerial vehicle (UAV) navigation in global satellite navigation system (GNSS)-denied environments, an image matching-based visual-inertial integrated navigation system is proposed. Deep learning-based methods are used for image matching to address the challenges of multi-modal image matching. A feature mismatch removal method using reference visual data and inertial navigation prior pose is proposed to improve the accuracy and robustness of image matching. Error-state Kalman filtering (ESKF) is applied to fuse the outputs of visual navigation and inertial navigation and calibrate the inertial navigation system. In addition, an image mismatch detection method based on Kalman innovation detection is applied to avoid severe errors caused by image mismatch. Finally, the proposed integrated navigation system is validated by Airsim simulation and a public dataset.
The stiffness of elastomeric diaphragm in pneumatic springs
Authors: Bai Yumei , Che Jixing , Wu Mingkai , Wu Jiulin , Jiang Wei
Published: July 2024

The design of pneumatic springs applied in precision vibration isolation platforms requires an accurate mathematical model. Many validation experiments have shown that neglecting the effect of the diaphragm on the response of a isolator can lead to a significant error between the observed and predicted behavior. This paper modifies the standard pneumatic spring model by considering the effects of the diaphragm on stiffness. A theoretical model for diaphragm stiffness is presented. The model equates the inner and outer rings of the diaphragm into two segments of composite material subjected to unidirectional stretching. The elastic modulus and stiffness of each part of anisotropic materials were obtained using the theory of composite mechanics, combined with the working conditions of the diaphragm. Finally, the dynamic stiffness experimental platform was built to verify theoretical model. The result indicates that considering the stiffness of elastomeric diaphragm, the error is reduced from 27.33% to 7.5%.
Development and Application of the Sliding Plane Method for Turbomachinery
Authors: Zhou Yeqi , Fu Jue , Ye Zhouteng , Sun Wei , Cui Jiahuan
Published: July 2024

This study focuses on the development and application of the sliding plane method for turbomachinery. The implementation of sliding plane consists of two parts: (1) grid manipulation in pre-processor and (2) sliding mesh interpolation in solver. In pre-processor phase, mesh extrusion, donor-receptor search pairing, and geometric array updates algorithms are implemented. Based on the updated grid information in pre-processor phase, flux interpolation between pairwise sliding planes is developed for unsteady Raynolds-averaged simulation (RANS). To validate the performance of our sliding plane method, the comparative simulation with the mixing plane method on Transonic Compressor Darmstadt (TCD) at Technical University of Darmstadt (TUDa) case is conducted using both sliding boundary and hybrid boundary methods. Special concern is placed on the stall phenomena near the leading edge of the compressor under near-stall conditions. Numerical results show superior agreement with experimental data compared to the mixing plane results, affirming its effectiveness in simulating unsteady conditions.
Development of Large-scale Bending and Torsional Test Rig Using Strong Floor Anchorage System for Structural Analysis
Authors: Abdul Hamid M F , Yob M S , Vishnu J S , Izahar M M
Published: July 2024

The common practice among researchers is to use scaled models for validation. However, using scaled models can lead to errors due to the scaled factor. To overcome this problem, this paper presents the development of a large-scale bending and torsional test rig for structural analysis which is involves testing the actual scaled model of the structure. In this research, a portal frame powered by a hydraulic system anchored to a strong floor is developed to evaluate specimens’ sizes up to 6 m x 2 m, such as planar frame and space frame structures. The design of the strong floor and the test rig will be analyzed for three-point bending, four-point bending and torsional tests. For stress analysis, it was found that the design of the test rig is capable of carrying out three-point bending test up to 37.6 kN, four-point bending test up to 75.2 kN, and torsional testing up to 4.1 kN.
Research Status and Development Trend of Precision Cutting Technology
Authors: Shan Li  , Calderon Aldrin D.
Published: July 2024

Precision cutting technology plays an important role in modern manufacturing, which providing key solutions for the production of high-precision, high-quality parts. Firstly, on the basis of reading a lot of relevant papers, the classification of precision cutting technology are summarized in this paper, and then the research status of cutting force control, tool wear, nano cutting, model simulation and optimization and green sustainable development are summarized and analyzed. On this basis, the problems existing in the current precision cutting technology are pointed out, and the future development trend is predicted.
Pneumatically Operated Tendril-based Soft Hyper-Redundant Robotic Gripper
Authors: Sanyal Shubhashis , Kumar Shukla Anuj , Sharad Pinjan Hrishi , Tailor Piyush , Pavan Kumar Pyla , Saurav Suman , Kumar Bhargav Surjeet
Published: July 2024

The present work aims to design a soft, hyper redundant robotic gripper inspired by natural tendrils. The development of automation also requires extensive study in the field of biomimetic robotics. Most robotic systems are generally built using traditional rigid materials, such as hard plastics and metals. Creating accurate robotic systems necessitates the assembly of firm components connected at specific joints. Nonetheless, crafting a robotic system modeled after natural systems, comprising continuous deformable materials, is anticipated to match or exceed the capabilities of rigid robotic systems. Soft and highly redundant robotic grippers offer nearly limitless degrees of freedom (DOF) and elevated levels of kinematic redundancy. In the present work, a soft robotic gripper is proposed, inspired by plant tendrils that deform helically to hold the object on actuation. The work describes the initial design, material selection, method, important design parameters, an actuation mechanism and the simulation and analysis of the soft gripper. Such studies will be useful to industries and researchers in automation and biomimetic robotic systems.
Explicit Calculation Method for Heat Exchanger Considering Variable Physical Property Treatment
Authors: Liu Z W , Liu Q H , Wen J , Dong B S
Published: July 2024

This work presents a heat exchanger calculation method characterized by the explicit temperature solution (ETS) for the working medium. This method is derived for both parallel-flow and counter-flow patterns based on the traditional LMTD method. As the temperature distribution is given in an explicit form related to the mixing temperature, the heat transfer performance of heat exchangers can be solved without iterations, improving the efficiency of heat exchanger design. Considering the practical engineering application, the influence of variable physical property is discussed. The temperature distributions of the reference temperature method and the integral method (whole length) are compared with the accurate distribution of the adaptive-grid method (segmented). Results indicate that the temperature distribution obtained by the integral method highly coincides with the accurate one, showing a relative error of only 0.36 %. The proposed ETS method with integral physical property treatment is an efficient and accurate way for heat exchanger design.
Industrial Air Purifiers: CFD Investigation for Optimized Duct Design for Noise Reduction and Performance Enhancement
Authors: Kumar Shukla Anuj , Babu Dinesh , Dubey Sameer
Published: July 2024

This research investigates into the critical intersection of fluid dynamics and noise generation within industrial air purifier ducts. As industrialization escalates, so does the concern for environmental challenges and air pollution. Industrial air purifiers, designed to combat airborne contaminants, play a pivotal role in fostering cleaner and healthier industrial environments. However, the accompanying noise from essential components poses challenges for worker well-being and operational efficiency. Utilizing Computational Fluid Dynamics (CFD) simulations, our investigation systematically explores the impact of duct geometry on fluid dynamics, turbulence, and noise generation. Validation against experimental data ensures the accuracy of our numerical model. The deliberate variations in duct design across five models, coupled with subsequent simulations for four additional designs, reveal Design 5 as a successful contender in achieving noise reduction objectives. Comparative analyses of outlet velocities, inlet pressures, and sound levels provide actionable insights for engineers and manufacturers. This research not only advances our understanding of duct geometry’s role in noise generation but also paves the way for quieter and more efficient industrial air purifiers. The optimized designs contribute to creating industrial environments that prioritize both workplace well-being and environmental sustainability.
Investigation of the weight effect on the oscillations of a magnetically-levitated body coupled to an energy harvester
Authors: Francis A C , Kandil A , ElSaid A , Zahra W K
Published: July 2024

Energy harvesting technology utilizes magnetic oscillations to produce electrical energy which in turn powers any small device. This paper discusses the numerical analysis of a non-ideal magnetic levitation system, with emphasis on the energy harvesting potential considering the weight of the oscillating middle block. The system being considered is a magnetic levitation system connected to an electrodynamic shaker that excites the base of the system to produce oscillations. The outcome of modelling the Maglev system is a coupled highly nonlinear equation that resembles the duffing oscillator. Runge-Kutta method is carried out to describe the temporal behavior of the oscillatory middle block and hence the harvested power. The results of findings presented through phase planes, Poincare map and parametric variations indicate that varying parameters such as Ω and E, directly impact power harvesting and system stability. This paper explores periodic and non-periodic motions in the temporal behavior of the Maglev system, contributing to the current trend in energy harvesting. The novel addition of the middle block’s weight offers crucial insights for enhancing energy harvesting devices, paving the way for future advancements in system design and application.
Heating opaque material sheets by a blue laser
Authors: Sibsiri Kwanruthai , Kijamnajsuk Puchong , Sutthiopad Malee , Luengviriya Chaiya
Published: July 2024

We present a study of heating small opaque substrates using a blue laser diode. It can be used as a method of temperature control for small sensors, e.g., atomic magnetometers. A blue laser from a low-cost engraving machine is used to illuminate an opaque material sheet (1×1×0.2 cm3) attached to a 1-cm glass cuvette whose size is similar to a typical vapor cell in compact atomic magnetometers. The input electric power of the laser diode (P) is supplied by a laser driver board and controlled via a computer by a pulse width modulation. We investigate the heating method using the electric power (P) between 2.67 and 4.67 W and 4 types of opaque materials: a silica bonded investment material, a gypsum bonded investment material, a silicone epoxy, and a mortar. The results show that in all cases, the temperature of the cuvette increases with time until it reaches a maximum value (Tmax) within 10 mins. For all tested materials, Tmax always increases with the power P. For a given power P, Tmax depends on the material type. At the maximum power of 4.67 W, Tmax are 52°C, 64°C, 81°C, and 88°C for the silica bonded investment material, the gypsum bonded investment material, the silicone epoxy, and the mortar, respectively. Therefore, among the tested materials, mortar is the most effective material for laser heating.
Multi-objective optimal design for the railway bogie frame system under stress and fatigue analysis
Authors: Lee Cheng-Kang , Liu Chien-Kuan , Cheng Yung-Chang
Published: July 2024

This work focuses on applying a novel and integrated multi-objective optimization approach to enhance the strength of the railway bogie frame system under both static loads and fatigue tests. The finite element modelling is conducted using ANSYS/Workbench software, and the von Mises stress and fatigue safety factor of the bogie frame are computed through conventional simulations for EN 13749 and EN 15663 testing. After employing the uniform design method, the fatigue safety factor is increased from 1.924 to 2.586, resulting in a 34.41% improvement rate for the bogie frame. Additionally, the von Mises stress is reduced from 56.96 MPa to 42.91 MPa, reflecting a 24.66% improvement rate compared to the original design. Following the implementation of the multi-objective optimum design process, the fatigue safety factor further improves from 1.924 to 2.742, resulting in a 42.51% enhancement for the bogie frame. Simultaneously, the von Mises stress decreases from 56.96 MPa to 40.48 MPa, yielding an improvement rate of 28.92%.
Preliminary analysis for a new sub-type III Solar Radio Burst (Type VI) on 11th July 2023
Authors: Bokhari N.H.M. , Hamidi Z.S. , Shariff N.N.M.
Published: July 2024

We focus on the subcategory Solar Radio Burst Type III (Type VI) events detected on 11th July 2023, exhibiting an extended duration lasting almost 24 hours. Utilizing archival data from the e-CALLISTO network, we analyze the dynamical properties with emphasis on the 11:17-11:30 UTC interval due to their prominent features. The six selected stations recorded a series of well-defined SRB type III features with various intensities. Drift rates were calculated and produced the average absolute value of 1.4 MHz/s for a series burst and 8.2 MHz/s for a single burst, aligning with previous SRB type III drift rate ranges. Solar parameters on that day indicate a quite high range solar wind of 329.9 km/s, high solar coronal density of 6.07 protons/cm3, also high solar flux units in the radio sun measurement correlating with the abundance of sunspots numbers and an elevated peak in solar flare intensity on that month. Direct associations between SRB type VI and solar flares of class C4.5 were observed, while no direct links to Coronal Mass Ejections (CMEs) were identified within that timeframe. This research underscores the importance of understanding SRB type VI characteristics and their associations with solar activities for space weather forecasting.
Linear intersection pairs of negacyclic codes and their applications in construction of entanglement-assisted quantum error-correcting codes
Authors: Jitman Somphong
Published: July 2024

Linear intersection pairs of linear codes have become of interest and continuously studied due to their nice algebraic properties and wide applications. In this article, we focus on linear intersection pairs of negacyclic codes over finite fields and their applications. General characterization and algebraic properties of such pairs are given in terms of their generator polynomials. For s∈{0,1}, explicit constructions of linear s-intersection pairs and linear s-complementary pairs of negacyclic codes are presented. As applications, constructions of entanglement-assisted quantum error-correcting codes are discussed together with illustrative examples.
Research on the operation characteristics of natural draft dry cooling tower group under crosswind conditions
Authors: Liu Yiming , Li Xiaoxiao
Published: July 2024

The natural draft dry cooling tower is a crucial equipment for thermal power plants in arid regions due to its water-saving capabilities and low energy consumption. However, crosswind conditions can significantly affect the operational performance of NDDCTs, making it crucial to understand their operation characteristics under such conditions. This study uses CFD simulation to analyze the operational properties of an NDDCT group with various crosswind conditions, examining key factors such as flow, temperature, velocity fields, and the interplay between towers. When the crosswind has an angle with the symmetry axis of the NDDCTs group, the NDDCTs have better performance. NDDCTs have the best performance when the angle is 30 °. The findings offer critical theoretical insights and data support for the design and optimization of NDDCT groups, with significant engineering and academic implications.
Simulation on Energy-Saving Control of Building Operation on Basis of Adaptive Fuzzy Algorithm
Authors: Yanqiu Zhang
Published: July 2024

Currently, residential construction in China is in a stage of rapid growth, and building energy consumption (EC) is a very significant issue. Among them, the EC of building air conditioning accounts for a large proportion, so how to improve the efficiency of building use is the key to improving building EC. This article intended to use EnergyPlus software to numerically simulate residential EC in different types, numbers of people, weather conditions, and other environments. The simulation results can be analyzed and processed to determine the optimal building operating parameters. This article intended to explore from two aspects: the architectural elements in independent spaces and the overall structure. The control group is a traditional building energy-saving (ES) control method, and the experimental group is a control method based on an adaptive fuzzy algorithm (AFA). The EC and comfort evaluation values of the two groups under the same working conditions are compared and analyzed. The EC of the traditional building ES control method is 120kWh/m2/year, and the EC of the control method based on the AFA is 95kWh/m2/year. The ES control simulation of building operation based on AFA has a reference effect on the adjustment of building EC.
Renewable energy integration and distributed energy optimization in smart grid
Authors: Fu G. S. , Yin X. , Xu Y. L.
Published: July 2024

In the context of this study, we leverage a hierarchical deep reinforcement learning algorithm to address challenges in the integration of renewable energy sources within smart grid environments. The primary focus is on enhancing the efficiency of large-scale renewable energy integration while ensuring grid stability and reliability. The algorithm builds on the principles of hierarchical deep reinforcement learning, aiming to optimize energy utilization, reduce operational costs, and decrease reliance on conventional energy sources within the smart grid framework. Rigorous experimentation in authentic smart grid settings validates the efficacy of the proposed algorithm, demonstrating notable improvements in grid performance and increased utilization of renewable energy sources. The mathematical outcomes underscore the algorithm’s superior performance across diverse conditions. This research contributes a practical solution for seamlessly incorporating renewable energy sources into smart grids, providing valuable insights for the optimization and sustainability of future smart grid systems. Future research directions may involve further refinement of the algorithm to adapt to evolving electricity network environments, fostering broader applications of renewable energy technologies in power systems.
Grid-connected New Energy Generation and its Influence on Power Supply Quality based on Smart Grid
Authors: Zhou Canhao , Lin Xiuqi , Fu Chunquan
Published: July 2024

With the large-scale access of NE(new energy) sources, the PS(power system) has presented a new pattern of multi-source coordinated and complementary PG(power generation), but the existing capacity benefit and absorptive capacity evaluation methods have not considered the impact of the coordinated operation of wind, solar, water and fire power sources on the time series load curve, and there is also a lack of a NE grid-connected capacity benefit and absorptive capacity evaluation method that can take into account the generation output characteristics of various types of power sources and multi-energy complementary characteristics. This paper analyzes the problems existing in traditional research, and analyzes the impact of NEG(new energy generation) on power supply quality based on smart grid. In addition, the capacity benefit and absorptive capacity evaluation methods of large-scale NE grid-connected are deeply studied in this paper, and some innovative research results have been obtained. Therefore, the method proposed in this paper can be used to promote smart grid to have a positive impact on power supply quality.
Lightweight High-Bandwidth LiDAR-Inertial Odometry Employing Sparse Incremental Hash-Voxels
Authors: Lin Chiayang , Sun Kejia , Zhao Tianrui , Nie Zhengwen , Zhao Yanzheng
Published: July 2024

This work introduces a lightweight LIO framework employing incremental voxels for enhanced efficiency. We leverage a sparse voxel data structure, replacing the tree structure in the Point-LIO open-source framework. Through hash table-managed voxel indexes, we achieve rapid K nearest neighbor search within nearly one voxel size with constant complexity query speed. This approach significantly reduces the time cost associated with tree nodes construction, balancing, and iteration compared to the tree-like structures. Experimental results demonstrate that our proposed enhancement achieves an average speed-up of 21.5% compared to Point-LIO in publicly available datasets. Moreover, it reduces drift by an average of approximately 20(m) and ATE by 1.41(m) under sparse point cloud input conditions.
A Study on the Control of Wing Surface Flow through Main Wing Boss Fairing and Nacelle Vortex Generators
Authors: Yu Yonggang , Tang Yu , Liu Hongyang , Wang Hao , Tang Tao , Luo Xiao
Published: July 2024

Transport aircraft often adopt a high-lift configuration that incorporates multi-stage lift-enhancing devices such as leading-edge slats and trailing-edge flaps to augment lift. However, the design of suspended nacelles beneath the wings complicates the airflow characteristics around these devices, thereby increasing the likelihood of premature stall on the upper surface of the wings. This article deeply analyzes the flow mechanisms of two-dimensional multi-segment wings and three-dimensional high-lift devices, and elaborates on their design methods. At the same time, the article also discusses how to effectively control the flow separation on the upper surface of the wing by rectifying the leading edge of the wing and installing vortex generators on the nacelle, thereby improving the overall performance of the aircraft. The application of a fairing on the protruding tab can improve the airflow at the junction of the leading-edge slat and the suspended nacelle, resulting in an approximate 3% increase in the maximum lift coefficient. The implementation of a wing leading edge fairing can enhance the flow dynamics at the intersection of the flap and the pylon, leading to a notable improvement of around 3% in the maximum lift coefficient. Moreover, the incorporation of vortex generators on the shorter span can significantly augment the maximum lift coefficient by 20% while also delaying the stall angle by an impressive 8 degrees.
Risk and Prevention Control Analysis of Live Line Operation of Distribution Network Bypass
Authors: Deng Dinghua , Fang Yanjiao , Zhou Bin , Wei Yiting , Huang Bo , Huang Chongjie , Qing Zhiming
Published: July 2024

With the continuous increase of distribution network live line projects, employees and the number of live lines, it is very necessary to analyse the principle of distribution network live line risk, evaluate the risk system and study the safety measures. The risk factors of live line in distribution network are identified, and the causes are analysed by using fault tree analysis and other methods. This paper uses LECD hazard identification and risk assessment methods combined with fault tree, through questionnaires, consulting technical specialist personnel and other methods to analyse the hazard degree of each operation project of live line in distribution network, the frequency of exposure to dangerous environment and the possibility of accident occurrence. We should strengthen the prevention and control before the operation, pay attention to the matters needing attention in the operation, and do a good job in the safety management of the work to prevent the risk of live line operation of distribution network bypass.
Research on UPF Forwarding Model Supporting 5G LAN
Authors: Wang Hao , Chen Yongtao , Shi Liuyang , Ling Yushi , Xu Fan , Wu Yanxi , Lin Huixiang , Ke Yulan
Published: July 2024

With the rapid development of 5G technology, more and more application scenarios require UPF forwarding models that support 5G LAN to meet the growing data requirements. However, traditional network architectures may have performance bottlenecks and lack of scalability in the face of 5G networks. Therefore, this study aims to design an optimized UPF forwarding model to improve data processing efficiency, reduce latency, and ensure network performance in line with 5G standards. Based on the detailed analysis of the hardware design, data plane and control plane architecture of UPF forwarding model, as well as the interface design with 5G core network, a UPF software architecture is proposed to optimize the data processing flow and improve the forwarding efficiency. The experimental results show that the model has stable performance under different time nodes, and can meet the requirements of real-time and reliability in 5G LAN networks.
Research on 5G Heterogeneous Network Switching Mechanism and Self-optimizing Network Switching Algorithm
Authors: Chen Yongtao , Wang Hao , Shi Liuyang , Ling Yushi , Xu Fan , Wu Yanxi , Lin Huixiang , Ke Yulan
Published: July 2024

Heterogeneous network, as one of the key features of 5G network, can provide higher network capacity, lower latency and better user experience by effectively integrating different types of network resources. Therefore, how to achieve seamless switching between heterogeneous networks becomes an urgent problem to be solved. This paper will conduct an in-depth analysis of 5G heterogeneous network switching mechanism, propose a self-optimizing network switching algorithm as an improvement scheme, and verify its effectiveness through simulation experiments in order to promote the development of mobile communication technology.
Research on the Application of Cloud Edge Collaboration Architecture in Power System
Authors: Liu Xin , Zhong Yijun , Bi Cheng , Jiao Feng , Xu Jun
Published: July 2024

With the increasing demand for electricity and the wide use of renewable energy, the power system is facing higher complexity and challenges. In order to meet these challenges, cloud-side collaborative architecture has become an innovative solution with great potential. Firstly, this paper discusses the basic concept of cloud-side collaborative architecture, which integrates cloud computing, edge computing and terminal devices to achieve more efficient data processing and analysis. This architecture provides real-time data collection and monitoring capability for power system, which is helpful to realize better monitoring and optimization of power system operation state. Secondly, this paper discusses the application fields of cloud-side collaborative architecture in power system in detail, including energy data collection and monitoring, smart grid management, predictive maintenance and security and privacy protection, and emphasizes the importance of cloud-side collaborative architecture in power system modernization. Cloud-edge collaborative architecture provides new opportunities and solutions for the intelligence, sustainability and security of power systems, but it also needs to overcome some technical and security challenges.