Structure Of System Research Articles

In Vivo Assessment of a Triple Periodic Minimal Surface Based Biomimmetic Gyroid as an Implant Material in a Rabbit Tibia Model.

Biomimetic approaches to implant construction are a rising frontier in implantology. Triple Periodic Minimal Surface (TPMS)-based additively manufactured gyroid structures offer a mean curvature of zero, rendering this structure an ideal porous architecture. Previous studies have demonstrated the ability of these structures to effectively mimic the mechanical cues required for optimal implant construction. The porous nature of gyroid materials enhances bone ingrowth, thereby improving implant stability within the body. This enhancement is attributed to the increased surface area of the gyroid structure, which is approximately 185% higher than that of a dense material of the same form factor. This larger surface area allows for enhanced cellular attachment and nutrient circulation facilitated by the porous channels. This study aims to evaluate the biological performance of a gyroid-based Ti6Al-4V implant material compared to a dense alloy counterpart. Cellular viability was assessed using the lactate dehydrogenase (LDH) assay, which demonstrated that the gyroid surface allowed marginally higher viability than dense material. The in vivo integration was studied over 6 weeks using a rabbit tibia model and characterized using X-ray, micro-CT, and histopathological examination. With a metal volume of 8.1%, the gyroid exhibited a bone volume/total volume (BV/TV) ratio of 9.6%, which is 11-fold higher than that of dense metal (0.8%). Histological assessments revealed neovascularization, in-bone growth, and the presence of a Haversian system in the gyroid structure, hinting at superior osteointegration.

Roma Children’s Access to Education: Barriers and Supports

ABSTRACT This study aims to identify the barriers encountered in the access of Roma children to education and to offer solutions according to the school administrators’ and teachers’ views. It is conducted with a phenomenological research design. The study group is composed of 24 participants, including 7 school administrators and 17 teachers. Data collected employing semi-structured interviews are analyzed with inductive content analysis. According to the findings, within the framework of Bourdieu’s cultural capital theory, the barriers to Roma children’s access to education are revealed as the structure of the education system, cultural characteristics, and perspective on education. Participants have stated that low expectations from Roma children within the current education system and the formation of Roma Schools are significant barriers to accessing education. These barriers to Roma children’s access to education are seen as a product of deficiencies caused by the family and the student himself. Additionally, neighborhood culture and social learning also prevent Roma children from accessing education. To overcome these barriers, participants suggest that schools should be turned into centers of attraction, flexible education programs should be implemented, and Roma children should be educated in mixed schools. The findings suggest that these barriers are regarded as a product of deficiencies caused by Roma children.

Understanding Unsteady Vortex Structure and Shedding Frequency of Cylindrical Hole Film Cooling: Insights From Experimental and Numerical Approaches

Abstract To enhance film cooling effectiveness and reduce mixing loss, it is imperative to understand the dynamics of the unsteady vortex system and its interaction with the mainstream flow. In this study, a comprehensive experimental investigation was conducted to assess the film cooling effectiveness of a flat-plate cylindrical hole, along with the structure of the vortex system and the frequency of vortex shedding. This was achieved using a variety of techniques including pressure-sensitive paint (PSP), particle image velocimetry (PIV), hot-wire anemometry, and dynamic pressure sensors. To complement the experimental findings, a detailed analysis of the evolution mechanisms of unsteady coherent vortices was performed using the detached eddy simulation (DES) numerical method. The findings of the study revealed that the Kelvin–Helmholtz (K–H) shear vortex patterns on the windward side undergo a transition from clockwise to counterclockwise rotation with increasing blowing ratios. Large-scale vortex sheds from the K–H shear vortices, ultimately evolving into the hairpin vortex in the downstream region. Additionally, the study proposed two evolution models for the vortex systems in the film cooling flow field at different blowing ratios and elucidated the evolution mechanisms of counter-rotating vortex pair (CRVP). The results of the spectral analysis revealed a notable discrepancy in the slopes of the eigenfrequencies, which could be attributed to variations in the evolution patterns of the vortex systems.

Design of Integrated System for the Comprehensive Utilization of Yellow River Sediment-Sealing Machine Structure and Control System Design

With the development of national industrialization, the control of yellow-river sediment needs to develop a complete automatic treatment system. In this paper, the structure and control system of the sealing machine in the integrated system design of the yellow river sediment comprehensive utilization are designed. Firstly, the overall design scheme of the sealing machine is determined, then, the structure and working principle of the sealing machine are introduced in detail. The design part of the actuator is defined. Secondly, finite element analysis is carried out for some of the stressed parts. The results show that the sealing machine system runs normally, the structure is not deformed and damaged, and it can work continuously for 12~16 hours, and the woven bag with sand can be successfully sealed. The sealing machine can not only save manpower and material resources, but also has the characteristics of simple operation and high efficiency. However, affected by the size of the equipment, it can only work in the factory or a large flat site.

An efficient ranking-based ensembled multiclassifier for neurodegenerative diseases classification using deep learning.

Neurodegenerative diseases are group of debilitating and progressive disorders that primarily affect the structure and functions of nervous system, leading to gradual loss of neurons and subsequent decline in cognitive, and behavioral activities. The two frequent diseases affecting the world's significant population falling in the above category are Alzheimer's disease (AD) and Parkinson's disease (PD). These disorders substantially impact the quality of life and burden healthcare systems and society. The demographic characteristics, and machine learning approaches have now been employed to diagnose these illnesses; however, they possess accuracy limitations. Therefore, the authors have developed ranking-based ensemble approach based on the weighted strategy of deep learning classifiers. The whole modeling procedure of the proposed approach incorporates three phases. In phase I, preprocessing techniques are applied to clean the noise in datasets to make it standardized according to deep learning models as it significantly impacts their performance. In phase II, five deep learning models are selected for classification and calculation of prediction results. In phase III, a ranking-based ensemble approach is proposed to ensemble the results of the five models after calculating the ranks and weights of them. In addition, the Magnetic Resonance Imaging (MRI) datasets named Alzheimer's Disease Neuroimaging Initiative (ADNI) for AD classification and Parkinson's Progressive Marker Initiative (PPMI) for PD classification are selected to validate the proposed approach. Furthermore, the proposed method achieved the classification accuracy on AD- Cognitive Normals (CN) at 97.89%, AD- Mild Cognitive Impairment (MCI) at 99.33% and CN-MCI at 99.44% and on PD-CN at 99.22%, PD- Scans Without Evidence of Dopaminergic Effect (SWEDD) at 97.56% and CN-SWEDD at 98.22% respectively. Also, the multi-class classification shows the promising accuracy of 97.18% for AD and 97.85% for PD for the proposed framework. The findings of the study show that the proposed deep learning-based ensemble technique is competitive for AD and PD prediction in both multiclass and binary class classification. Furthermore, the proposed approach enhances generalization performance in diagnosing neurodegenerative diseases and performs better than existing approaches.

Optimal‐droop voltage‐restorer for zonal dc distribution system with simultaneous consideration of dynamic current balance and power loss reduction

AbstractA dc voltage restorer (dc‐VR) with optimal droop control is developed to reduce the power loss and solve the dynamic current imbalance simultaneously of the zonal dc distribution system integrating multi‐parallel energy storage. Firstly, the power loss model composed of line loss and converter loss is built and it is proved to be a strictly convex function with respect to droop coefficients, which indicates the power loss can be mitigated by optimizing the current distribution. Thus, an image‐based droop optimization method is proposed to search for the optimal droop coefficients. Then, the economy of voltage compensation on power loss reduction is investigated and an ESS‐combined dc‐VR is designed, including an interleaved parallel architecture and a capacitor‐integrated electric spring (C‐ES). Unified virtual inertia is proposed for interleaved parallel bridge arms to make their dynamic performance consistent. And the newly introduced C‐ES can keep the bus voltage at the rated level to reduce the system cost. Therefore, the problem of dynamic currents imbalance is addressed from the points of converter structure (dc‐VR) and control system (unified inertia), and the power loss can be reduced by voltage recovery (C‐ES) and optimizing the current reallocation which is achieved by updating sharing coefficients from the image‐based droop optimization method. Finally, the simulation cases validate the effectiveness of the proposed optimal‐droop dc‐VR on dynamic current balance and power loss reduction, and hardware in the loop experiment results prove the consistent dynamic characteristics of the dc‐VR's arms.

Tracking control of dynamic ammonia coverage ratio references based on DC-SMC under a novel SCR-DeNOX structure

In response to the growing challenges of nitrogen oxides (NOX) emission control, NH3-based selective catalytic reduction (SCR) technology has been widely adopted to reduce NOX emission from marine diesel engine exhaust. In this study, the SCR mechanism model is based on a refined eight-state model. A novel structure of SCR-DeNOX system is established, which incorporates a by-pass valve and pipe. Unlike existing parallel and series SCR-DeNOX platforms, the novel structure shows a certain advantage in reducing NH3 and maintains a relatively high NOX conversion efficiency. Adaptive sliding mode observers (ASMO) are designed to generate dynamic ammonia coverage ratio references, replacing traditional fixed references. In addition, they also address the variations in the SCR-DeNOX model. The sliding mode control (SMC) is used to track the ammonia coverage ratio reference in upper cell by controlling ammonia injection. The decoupling with SMC (DC-SMC) is proposed to track the ammonia coverage ratio reference in the lower cell by controlling split ratio. The simulation results show the system with DC-SMC shows a 15.46% improvement in NOX conversion efficiency compared to that with SMC. Additionally, it shows a lower NH3 cost.

The transformation of Jordan’s healthcare system in an area of conflict

BackgroundThe Jordanian healthcare system has evolved over the past decades expanding its services, technological, and educational resources. A comprehensive view of this system is lacking. The objective of this report is to describe the structure of the Jordanian healthcare system, the challenges facing it, and the current and recommended health policies.Materials and methodsThis study reviewed the current status of the Jordanian healthcare system. The following parameters were analyzed: health indicators, infrastructure, human resources, insurance system, pharmaceutical expense, health education system, and medical tourism. Data were collected from various relevant official institutions and related published literature.ResultsJordan has a young population with a median age of 23.8 years. Life expectancy is 78.8 years for females and 77.0 years for males. The Jordanian healthcare system is divided into three major categories: (1) Governmental Insurance (i.e., the Ministry of Health (MOH), the Royal Medical Services (RMS) and semi-governmental insurance); (2) Private Insurance; and (3) Refugee Insurance, including the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA) and the United Nations High Commissioner for Refugees (NHUR). The Governmental Insurance covers 64.30% of the total population. Health expenditure is 6.37% of the gross domestic product (GDP). Pharmaceutical expenses make up 26.6% of the total national healthcare budget. Human resource assessment shows a high ratio of medical staff per 10.000 inhabitants, especially concerning physicians (31.7), dentists (7.9), and pharmacists (15.1). However, the ratio of nursing staff per 10.000 inhabitants is considered low (37.5). The Hospital bed/1000 population ratio is also relatively low (1.4). Healthcare accreditation is implemented through the Joint Commission International (JCI) accreditation which was achieved by 7 hospitals and by the National Health Care Accreditation Certificate (HCAC) achieved by 17 hospitals and 42 primary healthcare centers. Postgraduate medical education covers almost all medical and surgical fields. Medical tourism is currently well-established.ConclusionsAssessment of the Jordanian healthcare system shows high ratios of physicians, dentists, and pharmacists but a low ratio of nursing staff per 10.000 inhabitants. The hospital bed/1000 population ratio is also relatively low. Pharmaceutical expenses are significantly high and medical tourism is well-developed.

Analysis of heart rate variability in assessing the autonomic status of tuberculosis patients and in combination with HIV infection

In this study, a comprehensive instrumental assessment of the autonomic status of tuberculosis patients and those with concomitant HIV infection at the beginning and during treatment was conducted, revealing the structure of dysfunction through heart rate variability analysis. Correcting the identified disorders will enhance the effectiveness of treatment through a comprehensive individualized approach.The aim of the study: to assess the autonomic status of patients with tuberculosis and concomitant HIV infection during the course of treatment using spectral analysis of heart rate variability and to determine its clinical significance.Materials and methods. The study involved 195 participants. They were divided into two groups: a control group of 70 healthy individuals and an observation group of 125 newly diagnosed patients with infiltrative and disseminated pulmonary tuberculosis, further divided into two subgroups. The first subgroup included 64 patients with pulmonary tuberculosis, and the second subgroup included 61 patients with tuberculosis combined with HIV infection. The structure of the autonomic nervous system was studied using the computer complex «Varicard 2.51» for processing variocardiograms and analyzing heart rate variability (Registration certificate for medical device dated 10.12.2007 No. FSR 2007/01390). All patients were examined under identical conditions. Calculations were performed using SPSS Statistics v. 23.Results and discussion. The data on the assessment of the state and dynamics of the total power spectrum of RR intervals (TP) in the control group and in patients with tuberculosis and concomitant HIV infection in subgroups 1 and 2 of the observation group during treatment are presented. When comparing the frequency of TP above the «normal zone» in the control group and subgroup 1 of the observation group (t1= 3.30; p1<0.01; t2=1.70; p2>0.05), in the control group and subgroup 2 of the observation group (t1=3.51; p1<0.01; t2=2.64; p2<0.01), statistically significant differences were found in subgroup 1 before treatment and in subgroup 2 before and after treatment. The significant decrease in TP levels above the «normal zone» in patients of subgroups 1 and 2 before treatment indicated significant mobilization of the body’s regulatory system reserves needed to maintain vital functions. By the end of the hospital treatment stage, TP levels had not recovered in patients of subgroup 2, marking more pronounced regulatory disturbances in patients with pulmonary tuberculosis combined with HIV infection.Conclusion. The assessment of the state of regulatory systems and the body’s reserves based on heart rate variability indicators showed that in healthy individuals, these systems were at levels ensuring the body’s normal homeostatic balance with the regulatory systems functioning normally without excessive stress and high resource mobilization. In patients with pulmonary tuberculosis, the state of regulatory systems was at a lower level, especially in patients with concomitant HIV infection.

Human Immune System, Its Levels, and Disorders in the Context of HIV/AIDS: A Comprehensive Review

The human immune system is a complex and multi-tiered defense mechanism that safeguards the body from infections and diseases. This comprehensive review explores the structure and function of the immune system, detailing its two primary components: innate and adaptive immunity. While innate immunity offers immediate, nonspecific defense, adaptive immunity provides long-term protection by targeting specific pathogens. The review delves into the impact of HIV on the immune system, focusing on how the virus specifically targets and depletes CD4+ T cells, leading to immune system dysregulation and the progression to AIDS. The discussion includes the stages of HIV infection, the virus’s mechanisms of immune evasion, and the resulting immune dysfunctions such as immunodeficiency, chronic inflammation, and autoimmune disorders. Opportunistic infections like tuberculosis and hepatitis are also examined in the context of HIV-induced immune suppression. Advances in HIV/AIDS treatment, particularly the role of antiretroviral therapy (ART), are highlighted, emphasizing ART’s effectiveness in preserving immune function and improving patient outcomes. The review concludes by addressing ongoing challenges with ART adherence, access to treatment, and drug resistance, while also exploring emerging research into potential cures, including gene therapy and therapeutic vaccines. Through a detailed exploration of the human immune system and its vulnerabilities to HIV, this review underscores the importance of continued research and intervention in combating the global HIV/AIDS epidemic. Keywords: Human immune system, HIV/AIDS, CD4+ T cells, innate immunity, adaptive immunity, immunodeficiency

Error Analysis and Optimization of Structural Parameters of Spatial Coordinate Testing System Based on Position-Sensitive Detector.

For the research on real-time accurate testing technology for the explosion point spatial coordinate of munitions, its currently commonly used methods such as acoustic-electric detection or high-speed imaging are limited by the field conditions, response rate, cost, and other factors. In this paper, a method of spatial coordinate testing for the explosion point based on a 2D PSD (position-sensitive detector) intersection is proposed, which has the advantages of a faster response, better real-time performance, and a lower cost. Firstly, a mathematical model of the spatial coordinate testing system was constructed, and an error propagation model for structural parameters was developed. The influence of the position of the optical axes' intersection as well as the azimuth angle and pitch angle on the test accuracy of the system was simulated and analyzed, thus obtaining the distribution and variation trend of the overall error propagation coefficient of the system. Finally, experiments were designed to obtain the test error of the system for validation. The results show that the system test accuracy is high when the azimuth angle is 20°-50°, the overall error propagation coefficient does not exceed 48.80, and the average test error is 56.17 mm. When the pitch angle is -2.5°-2.5°, the system has a higher test accuracy, with the overall error propagation coefficient not exceeding 44.82, and the average test error is 41.87 mm. The test accuracy of the system is higher when the position of the optical axes' intersection is chosen to make sure that explosion points fall in the region of the negative half-axis of the Zw-axis of the world coordinate system, with an overall error propagation coefficient of less than 44.78 and an average test error of 73.38 mm. It is shown that a reasonable selection of system structure parameters can significantly improve the system test accuracy and optimize the system deployment mode under the long-distance field conditions so as to improve the deployment efficiency.

Conceptual Design Process of a Missile Model and Production Using Additive Manufacturing Method

This study focuses on air-to-ground missile systems, which are widely used in Turkey and around the world and are becoming increasingly important. The development of missile systems takes into account various requirements defined by the end user. It is important to identify a system and its subcomponents that fully meet the requirements. This study analyzes an air-to-ground missile system and its main subcomponents identified through the conceptual design method based on the systematic design approach proposed by Pahl and Beitz. The aim is to determine the feasibility of obtaining an optimal solution that meets the requirements set by the conceptual design method. The missile design’s optimal solution was modeled using SolidWorks software. A three-dimensional (3D) printer with FDM production technology was used to produce a prototype of the computer-modeled design. ABS and ABS-plastic blend filaments were preferred due to their material properties in the FDM production process. During the printing stage, the filament and output settings of the model were determined using the 3D printer’s interface program. The filaments were then extruded through a nozzle, following the cross-sectional geometry of the part. The resulting model was printed in pieces and assembled with a tolerance of 0.1mm. This process resulted in a 3D model of the missile, which was created to represent the system structure in different colours. The study demonstrates that the conceptual design method can be used to develop innovative and meaningful missile models.

Materialization of Ritual: The Example of Alevi Belief System

Rituals are symbolic and physical elements of beliefs and experiences. Individuals' and societies' relationships with nature and struggle for survival within nature have led to the creation of various practices. All these practices, when manifested symbolically within the context of belief systems, are called rituals. Therefore, every change in the relationship between the individual, society, and nature results in a change in rituals. Migration, urbanization, technological advancement, and globalization cause many elements concerning individuals and society to change. Changes that affect societies' social, cultural, economic, and religious lives have led to functional and structural changes in rituals performed within the traditional context. Thus, rituals passed down in traditional societies with their traditional and symbolic structures have undergone semantic and formal changes in rapidly changing modern societies. At the core of these changes lies the necessity for individuals to adapt to contemporary socio-economic conditions. Rituals has a power that shapes community in many ways with their mythic and theological backgrounds. Rituals determine the doctrinal and social structure of Alevi belief system. For the Alevi community, rituals hold the power to transmit cultural and social values, as well as to define the belief system with its mythic and theological background. Traditional Alevi rituals shape the entire lives of their followers. Members of the faith learn and transmit all components of their socio-cultural and economic environment through ritual-centered practices. Despite all political and social events, Alevi communities managed to sustain their ritual-centered traditional belief systems and lifestyles until the 1960s. However, migration after this period rapidly led to the transformation and alteration of ritual-centered life. Alevi communities experienced a culture shock due to their rituals not being accepted by the “other”s. This situation compelled them to conceal their beliefs and remain invisible. The process experienced after migration and urbanization has resulted in the weakening of traditional belief systems among Alevi individuals. During this period where non-governmental organizations are increasingly dominant and influential, the social and cultural demands of Alevi communities who come together under the leadership of non-governmental organizations in the city have led to the transformation and reconstruction of traditional Alevi rituals. Therefore, the traditional structure and rituals of the Alevi belief system have undergone a transition from their traditional context to a new world influenced by factors such as migration, urbanization, modern life, and the rejection of dominant authority. This article discusses the change and re-creation of rituals away from the traditional context in urban life following social and economic demands in the context of fieldwork conducted in Türkiye, Germany, and Austria.

Selection of drive system and chassis structure basic design and analysis for medium-sized urban electric bus

One of the alternative solutions to address environmental and energy challenges is the utilization of electric vehicles, particularly in the domain of public transportation. The focus was on the development of medium-sized electric buses to expand the reach of electric-powered public transport. The design process encompasses the selection of vehicle components, such as the drive system, and the configuration of a space frame chassis structure. The drive system was meticulously chosen and proved to exceed the design requirements, as it achieved a gradability of 12.44%, surpassing the targeted capability of 10% slope. Moreover, it boasts a maximum speed of 108 km/h, exceeding the design requirement of a maximum speed of 50 km/h, and can accelerate at a rate of 1-2 m/s². The chassis design adheres to regulations and standards and is grounded in the strength, stiffness, and natural frequency criteria. The initial chassis design did not meet the design requirement, however, through several iterations, a chassis structure was achieved with a vertical bending stiffness of 8.57 kN/mm and a torsional stiffness of 9.63 kNm/°. Based on the outcomes of this research, a drive system and chassis structure design that fully satisfies all the existing design requirements has been successfully attained.

Giant impact on early Ganymede and its subsequent reorientation

Ganymede has an ancient impact structure called a furrow system. The furrow system is the largest impact structure in the outer solar system, and the impact should have significantly affected Ganymede’s early history; however, its effects are poorly understood. No attention has been given to the center of the furrow system coinciding with Ganymede's tidal axis, indicating that mass redistribution induced by the furrow-forming impact caused a reorientation (true polar wander) of Ganymede. We propose that the impact ejecta created a mass anomaly that reoriented the impact site toward the tidal axis. We found that an impactor with a radius of 150 km and an incidence angle between 60° and 90° most accurately reproduces the current location of the furrow system. We predict that future explorations would reveal remnant topographic profiles or gravity anomalies associated with the furrow-forming impact and reorientation. Additionally, various possible explanations for the reorientation of Ganymede, such as an impactor-origin mascon beneath the basin or a thickness variation in the lithosphere, should be studied.

Large-area and high-efficiency carbon nanotube/silicon heterojunction solar cells enabled by self-similar fiber electrodes and solid-state gel electrolytes

Carbon nanotube/silicon (CNT/Si) Van der Waals heterojunction solar cells have attracted increasing attention due to their low-cost, easy-fabrication process and potential use in next generation photovoltaics. Herein, we reported a high-performance and large-area solar cell fabricated using high-quality CNT films, self-similar CNT fibers and solid-state gel electrolytes. The power conversion efficiency of the fabricated device reached 13.1 % in an active area of 1 cm2, which is much higher than that of the pristine CNT/Si device (7.19 %). In this system, small-bundled and carbon-welding structure at inter-tube junctions enable the CNT film with excellent conductivity. The CNT fiber electrodes were adopted as front contact grids to further reduce the resistance of the CNT film owing to their high conductivity and self-similar microstructure. The solid-state gel electrolyte functions as a p-type dopant to enhance the conductivity of CNTs and the built-in potential at the heterojunction, meanwhile its antireflection property contributes to a significant improved photocurrent of the solar cells. This simple and effective way provides a facile route for developing high-performance, large-area CNT/Si Van der Waals heterojunction solar cells.

Waqf Management in Pesantren: A Case Study of Lembaga Wakaf Daarut Tauhiid

Waqf, as an instrument for wealth distribution in Islam, must have an impact on people's well-being. However, in actuality, waqf collection and management in Indonesia is substandard. As a result, as a nazir, the Lembaga Wakaf Daarut Tauhiid Institution must be able to collect and administer waqf assets properly. The purpose of this research is to analyze the waqf institutions' strengths, weaknesses, opportunities, and dangers, as well as to develop strategies for collecting and managing waqf assets in the Wakaf Daarut Tauhiid Institution. In this study, the Analytic Network Process (ANP) with a SWOT structure system was applied. The most influential feature of strenth was discovered to be the presence of figure. The most serious shortcoming is a lack of education and outreach to prospective waqf. The most crucial feature of the possibility is the high potential of waqf. The most potent part of threat is waqf faith in waqf organizations. The approach for effective waqf asset management prioritizes the promotion of waqf initiatives using social media. The created plan is designed to serve as a guide for stakeholders in creating future policies.

A Bi-Objective Optimal Scheduling Method for the Charging and Discharging of EVs Considering the Uncertainty of Wind and Photovoltaic Output in the Context of Time-of-Use Electricity Price

With the increasing share of renewable energy generation and the integration of large-scale electric vehicles (EVs) into the grid, the reasonable charging and discharging scheduling of electric vehicles is essential for the stable operation of power grid. Therefore, this paper proposes a bi-objective optimal scheduling strategy for microgrids based on the participation of electric vehicles in vehicle-to-grid technology (V2G) mode. Firstly, the system structure for electric vehicles participating in the charging and discharging schedule was established. Secondly, a bi-objective optimization model was formulated, considering load mean square error and user charging cost. A heuristic method was employed to handle constraints related to system energy balance and equipment output. Then, the Monte Carlo method was employed to simulate electric vehicle loads and to facilitate the generation of and reduction in scenario scenes. Finally, the model was solved using an improved multi-objective barebones particle swarm optimization algorithm. The simulation results show that the proposed scheduling strategy has a lower charging cost (CNY 11,032.4) and lower load mean square error (12.84 × 105 kW2) than the strategy employed in the comparison experiment, which ensures the economic and stable operation of the microgrid.

Design of a LiDAR ranging system based on dual‐frequency phase modulation

AbstractPhase‐based light detection and ranging (LiDAR) technology is emerging in the fields of industrial mapping, autonomous driving, and robotics, but the traditional phase‐based ranging technology generally suffers from the problem that the ranging accuracy is inversely proportional to the measurement range under a single measurement frequency, the system structure is complicated, and the performance is unstable, and so forth. In this article, a new type of LiDAR system design based on phase ranging is proposed. The system adopts a 100 + 1 MHz double measuring ruler modulation light source, uses the laser to control the phase difference detection method of the same frequency reference, optimizes the structure of the transceiver optical system, and the design of AD8302 high‐resolution signal phase discriminator circuit, builds a high‐precision laser ranging system, and carries out the experiments on the measurement accuracy of the LiDAR ranging system. The experimental results show that the measurement accuracy of the system is millimeter level, which is simple, practical, and can meet the needs of a wide range of practical applications. This study provides a feasible and innovative solution for LiDAR technology in high‐precision distance measurement.

Towards efficient identification of fractional-order systems

This study focuses on the efficient identification of fractional-order chaotic systems, particularly under challenging conditions where the time step, iteration time, orders, parameters, initial values, and system structure are all unknown. Unlike previous work, our approach emphasizes the complexities introduced by the unknown time step and iteration time. We introduce a novel differential evolution (DE) variant, termed global and local search using success-history based parameter adaptation for differential evolution (GL-SHADE), to tackle this problem in both noiseless and noisy environments. Comprehensive simulations show that GL-SHADE outperforms other comparative algorithms by delivering both higher precision and faster convergence under these uncertain conditions, highlighting the potential of advanced DE techniques in complex system identification.