bluuebunny/crossref_metadata_2025_split huggingface dataset:
A review on liquefaction and cold storage of liquid air energy storage
Authors: Shen Jie , Liu Ruonan , Bai Yundou , Han Jian , He Qing 
Published: December 2024

Abstract
Liquid air energy storage (LAES) is a large scale, long energy storage duration, high energy density, and no geographical constraints, making it an effective means to address the intermittency and variability issues of renewable energy. The processes of air liquefaction and cold energy storage occur simultaneously. The liquefaction method can impact the liquefaction rate and efficiency of the system. Various cold storage (CS) methods can affect the utilization of cold energy in the system. First, an overview and comparison of five different liquefaction cycles is presented in the paper. Then, the importance of the CS method is analyzed, and different CS methods are compared. Finally, the paper issues related to cold energy balance in liquefaction and CS over multiple cycles are examined, and the future works of liquefaction and CS of LAES are discussed.
Fault diagnosis method of converter valve equipment based on infrared image processing
Authors: Han Fengshou , Lai Hao , Li Jianxun , Han Zixi , Li Jingxiang , Peng Ten 
Published: December 2024

Abstract
To solve the problem of abnormal heating of converter valve equipment, this text suggests a means for diagnosing failures of valve converter devices based on infrared radiation. First, the image is processed by gray level elimination and image segmentation, and then the relative temperature difference algorithm is used for defect diagnosis. Finally, experiments bear out the precision of the means.
Optimal configuration model of multi-energy capacity structure
Authors: Shi Jialin , Wu Fangrong , Lu Kunjie , Le Ying , Li Mingchao , Suo Xun 
Published: December 2024

Abstract
To solve the multi-energy capacity allocation problem, a hybrid power system planning model based on complex adaptive system theory (CAS) is proposed considering the temporal and stochastic characteristics of renewable energy sources. The objective function of the model is to maximize economic efficiency, with various types of power sources as adaptive agents and power generation as the decision variable. The model achieves rational allocation of multi-energy generation capacity through the adaptive effects between entities and the environment as well as the behavior rules of constantly changing entities. The actual power system is selected for simulation and compared with the Pareto solution set. Results show that the optimal configuration of power structure based on CAS can significantly improve the consumption of renewable energy and is more in line with the operating mode of the actual power system.
Power grid facility detection and static model reconstruction based on multi-view stereo vision reconstruction
Authors: Chen Qiushi 
Published: December 2024

Abstract
Power grid facility detection and static model reconstruction are critical in power system management and planning. Traditional methods have such problems as low detection accuracy, and the reconstruction result is inaccurate. It is necessary to find an effective method for improving detection accuracy and reliability. In this paper, a multi-view stereo vision reconstruction method was proposed to improve the accuracy of power grid facility detection and static model reconstruction. The method used the image information of multiple views and stereo vision algorithms, and integrated image information from multiple views through the image depth analysis and feature detection of the stereo vision algorithm. Finally, the detection and 3D model of the power facility were accurately reconstructed. The experimental verification showed that the multi-view stereo vision reconstruction method had a better effect on detecting the power grid facility and the static model reconstruction. The accuracy and integrity of the facility detection were improved, and the false alarm and miss detection in the traditional method were reduced.
Design and study of a forearm-type wheel-legged obstacle-crossing robot
Authors: Fang Lin , Tan Xiaolan , Huang Guangao , Jiang Xin , Xue Yunhao 
Published: December 2024

Abstract
Traditional legged robots suffer from slow movement speed, low energy utilization, complex control and poor reliability, while wheeled robots are deficient in obstacle crossing and environmental adaptability. To address such problems, the project suggests a forearm-type obstacle-crossing robot based on rear-wheel drive. This solution realizes the change from single-point contact of bipedal robots to continuous single-point contact, which improves the stability and moving speed of the system. Meanwhile, the forearm structure reduces the constraints on the moving environment, which gives it excellent obstacle-crossing performance; the simple mechanical structure improves reliability and flexibility.
A linkage mechanism with high mechanical advantage for robotic grippers
Authors: Zhu Yonghui , Sun Xiantao , Wang Zhiyong , Chen Wenjie , Xie Gang , Chen Weihai 
Published: December 2024

Abstract
In this paper, a compact linkage mechanism with high mechanical advantage and stroke is designed. The mechanism converts a small input force into a large output force using a toggle mechanism. Its feasibility for application in large gripping force manipulators has been verified. In the paper, the kinematic and static analyses of the mechanism are carried out. The effects of the mechanism parameters on its characteristics are investigated. Then, a dynamic mechanism simulation is carried out using ADAMS to obtain its mechanical gain and gripping force during motion. Finally, the processed double toggle mechanism is analyzed experimentally to verify its applicability. The simulation and experimental results show that the linkage mechanism performs better in the case of large gripping force demand. It can provide effective help for the design of mechanical grippers with large gripping force.
Algorithm realization of automatic navigation handling robot
Authors: Meng Tao 
Published: December 2024

Abstract
In traditional processing workshops, handling materials often needs to be completed manually, which is inefficient, greatly increases labor costs, and may even pose safety hazards. In order to solve these problems, automatic navigation handling robots have been introduced in the processing workshop. This paper designs an algorithm to automatically navigate and grab materials based on an automatic navigation handling robot. Among them, the construction and positioning of the map are realized using the Gmapping algorithm. The navigation is realized using the two-dimensional navigation function package that comes with the robot operating system, and the secondary positioning of the automatic navigation robot is realized according to the actual situation combined with the two-dimensional code. Simulation results show that the automatic navigation handling robot algorithm designed in this paper has good stability and can achieve accurate positioning and material grabbing.
Error modeling of a 3-RPS parallel mechanism based on screw theory
Authors: Song Xiaozong , Bao Zhenliang , Liu Jiakang 
Published: December 2024

Abstract
Due to the highly nonlinear nature of the kinematic equations of parallel mechanisms, this paper conducts an error modeling study of the 3-RPS parallel mechanism based on the efficiency and unification advantages of screw theory in handling nonlinear systems. First, the geometric structure and kinematic characteristics of the mechanism are analyzed; in addition, redundant error elimination is performed. Then, an error model is established using the screw theory. The impact of structural parameter errors on the end-effector’s position and orientation is analyzed through simulations. The conclusions indicate that the model can accurately predict the error distribution patterns of the parallel mechanism, providing important theoretical support for the precision optimization design of parallel mechanisms.
A two-stage 6D pose estimation method for industrial textureless parts based on multi-feature fusion
Authors: Lv Nengbin , Yang Wei , Du Fuzhou 
Published: December 2024

Abstract
6D pose estimation is an essential supporting technology for many industrial applications such as robotic vision, human-robot collaboration and augmented reality. However, in industrial environments, due to the textureless, reflective, and occluded characteristics of industrial parts, the accuracy and adaptability to the application environment of pose estimation are limited. To solve this issue, a two-stage 6D pose estimation method for industrial parts is proposed, which uses a multi-feature fusion strategy. In the first stage, the semantic keypoints are selected to train a PVN3D-based RGBD fusion pose estimation network to predict the initial pose. In the second stage, we propose a pose iterative optimization method based on the fusion of appearance and geometric features. Experiments on the MP6D industrial dataset demonstrate that the proposed method exhibits the comparative methods. Our approach offers a novel idea for accurate and robust pose estimation of industrial parts.
Cotton cellulose nanofiber/chitosan scaffolds for skin tissue engineering and wound healing applications
Authors: Fayer Leonara , Vasconcellos Rebecca , de Oliveira Eduarda Rocha , da Silva Almeida Ferreira Caroline , de Souza Nelson Luis Gonçalves Dias , Manhabosco Taíse Matte , de Oliveira Luiz Fernando Cappa , Martins Maria Alice , Brandão Humberto de Mello , Munk Michele 
Published: December 2024

Abstract
Chitosan (CS) is a promising polymeric biomaterial for use in scaffolds for in vitro skin models and wound dressings, owing to its non-antigenic and antimicrobial properties. However, CS often exhibits insufficient physicochemical properties, mechanical strength, and bioactivity, limiting its efficacy in demanding applications. To address these challenges, cotton cellulose nanofibers (CNFs) represent a promising nanomaterial for enhancing CS-based scaffolds in tissue engineering. CNF offers superior stiffness, and mechanical properties that enhance cellular adhesion and proliferation, both crucial for effective tissue regeneration and healing. This study aimed to develop and characterize a scaffold combining cotton CNF and CS, focusing on its cytocompatibility with human fibroblasts and keratinocytes. The cotton CNF/CS scaffold was fabricated using the casting technique, and its physicochemical properties and cellular compatibility were assessed in vitro. The results demonstrated that incorporating cotton CNF significantly enhanced the stability of the CS matrix. The CS scaffold with 1000 μg ml−1 of cotton CNF exhibited increased roughness and reduced rupture strain compared to the pure CS scaffold. The cotton CNF/CS scaffold effectively promoted the adhesion, viability, proliferation, migration, and collagen synthesis of skin cells. Notably, increased cell viability was observed in human fibroblasts cultured on scaffolds with higher concentrations of cotton CNF (100 and 1000 μg ml−1). Based on the findings, the cotton CNF/CS scaffold demonstrates enhanced physicochemical properties and bioactivity, making it a promising candidate for the development of in vitro human skin models and wound healing dressings.
Advances in additive manufacturing for bone tissue engineering: materials, design strategies, and applications
Authors: Pazhamannil Ribin Varghese , Alkhedher Mohammad 
Published: December 2024

Abstract
The growing annual demand for bone grafts and artificial implants emphasizes the need for effective solutions to repair or replace injured bones. Additive manufacturing technology offers unique merits for advancing bone tissue engineering (BTE), enabling the creation of scaffolds and implants with customized shapes and designs, interconnected architecture, controlled mechanical properties and compositions, and broadening its range of applications. It overcomes the limitations of traditional manufacturing methods such as electrospinning, salt leaching, freeze drying, solvent casting etc. This review highlights additive manufacturing technologies and their applications in BTE, as well as materials and scaffold architectures to widen the potential of the biomedical sector. The selection of optimal printing methods for BTE requires careful consideration of the advantages and disadvantages against the needs for degradation, strength, and biocompatibility. Material extrusion and powder bed fusion techniques are the most widely used additive manufacturing processes in BTE. The comprehensive review also revealed that parametric designs such as triply periodic minimal surface (TPMS) and Voronoi hold better characteristics for their application in BTE. Voronoi designs exhibit exceptional randomness whereas TPMS structures feature high permeability with continuous surfaces. Topology optimized and gradient models exhibited superior physical and mechanical properties compared to uniform lattices. Future research should focus on the development of novel biomaterials, multi-material printing, assessing long-term impacts, and enhancing 3D printing technologies.
An inter-comparison of tropical cyclone datasets for the Australian region
Authors: Kumar Sarvesh , Chand Savin , Ramsay Hamish , Klotzbach Philip J , Courtney Joseph , Koschatzky Valentina , Kumar Sushil 
Published: December 2024

Abstract
Tropical cyclone (TC) best track datasets have temporal inhomogeneity, mostly associated with changes in monitoring practices and technological improvements. Temporal inconsistencies are often mitigated by using TC data from more homogeneous periods. For example, TC records since 1980 are preferred for frequency and track analysis, while records for intensity analysis have become more consistent since ∼2000. However, such measures reduce the sample size for trend analysis, potentially leading to conflicting conclusions due to natural climate-variability. Inter-agency best track data can also vary, due to differences in the way best track information—such as centre fix locations and associated intensity estimates—are defined and assessed. When comparing global datasets and regional datasets, additional inconsistencies can be introduced where TCs form or track just outside the official area of responsibility for each agency. We highlight discrepancies in Australian TC best track data from various sources by comparing it to a more rigorously scrutinized dataset compiled by the Australian Bureau of Meteorology. This dataset is found to have highly accurate TC records for the Australian region. We also highlight the implications of data differences on TC-related trend analysis, aiming to increase awareness of dataset inconsistencies while guiding credible climate-change detection and attribution messages.
Policy relevant crop diversity monitoring based on earth observation and farmers’ declarations
Authors: der Velde Marijn van , Claverie Martin , d’Andrimont Raphaël , Machefer Melissande , Bosco Simona , Catarino Rui , Dentener Frank , Angilieri Vincenzo 
Published: December 2024

Abstract
Comprehensive, wall-to-wall, evaluation of cropping systems and therefore crop diversity using Earth Observation (EO) data is becoming reality. Agricultural policies such as the Common Agricultural Policy (CAP) in the European Union (EU) stimulate more diverse crop-mixes. We compute a new EU-wide overview of crop diversification for 2018 using the Shannon diversity index based on 10 m resolution EO crop map. For the EU as a whole, the effective number of species broadly ranges from 2.6 (p10) to 5.3 (p90) with a median of 3.9. The EO-based map allows identifying how crop diversity varies at an informative spatial resolution, e.g. in areas dominated by mono-cropping or with extensive forest cover. Here we compare the crop diversity calculated from top–down EO-data and bottom–up farmers’ declarations in the Netherlands using the EO-based map (more than 84 millions 10 m pixels) and 2018 Dutch farmers declarations (more than 323 thousands parcels). After accounting for differences in thematic and spatial detail we show agreement in spatial patterns and calculated crop diversification (R
2 = 0.62). Furthermore, we track changes in crop diversity over time using the Dutch farmers’ declarations from 2009 to 2021, which suggest a positive response to the 2014 CAP greening policy. Combining the forthcoming Copernicus High Resolution Layers on Crop Types with increasingly available parcel data will enhance spatial targeting of agricultural policies and facilitate the monitoring of policy impact at farm to regional level.
Fragility and seismic risk of public building structures due to earthquake loads (Case study: Manahan Sports Building)
Authors: Sari A N , Sangadji S , Saifullah H A 
Published: December 2024

Abstract
Earthquake disaster is a natural disaster with a small probability of occurrence but with a large risk of consequences. Indonesia is an earthquake-prone area which is flanked by 3 plates. which results in Indonesia becoming an earthquake-prone area. This paper analyzes the seismic performance and risk of public buildings of indoor sports buildings which has a inclined column with an elliptical cross-section in Manahan District, Surakarta city. From 1867-2022, there were 10 big earthquakes that occurred in several nearby cities in Surakarta. The seismic risk analysis was conducted by constructing a fragility function depicted in the form of a fragility curve. The analysis procedure starts with developing a 3D finite element model in the computer and applying pushover loads so that the structure achieves nonlinear behavior with material specifications and loading in accordance with the Indonesian National Standard 1726-2019 regulations and resulting in capacity curves, then converted into a capacity spectrum curve. Damage limits are set based on ATC-40 and HAZUS MH-MR 5 criteria. The fragility function is defined as the conditional probability of exceeding the damage limits set for various earthquake intensities. From this study, the probability of building damage based on ground acceleration in Surakarta (Sa=0,36g) with ATC-40 criteria is obtained on the X axis with Immediate Occupancy damage of 13.29% and Life safety of 3.21%, on the Y axis the Immediate Occupancy limit is 55.51% and Life safety is 13.89%. For HAZUS MH-MR 5 guidelines on the X-axis the probability for slight damage is 60.29%, moderate 30.97%, extensive 3.21% and complete 0.42%, and for the Y-axis slight is 93.76%, moderate 73.06%, extensive 12.24% and complete 9.47%.
Correlation of CPT, SPT, and ERT data for a better understanding of soils condition: A case study in SPG Merbau, South Sumatra
Authors: Putra M. Sang Gumilar Panca , Salleh Shahrun Nazida , Anggraini Nita 
Published: December 2024

Abstract
Soil investigation at a project site is crucial for understanding soil properties and layers, which is essential for designing a robust foundation and preventing future construction failures. This study evaluates the relationship between Cone Penetration Test (CPT), Standard Penetration Test (SPT), and Electrical Resistivity Tomography (ERT) methods at the Merbau Gas Gathering Station (SPG) in South Sumatra, Indonesia. The methods used include CPT for determining geotechnical parameters and soil characteristics, SPT for measuring soil consistency through blow counts, and ERT for assessing soil resistivity, which correlates with soil type and moisture content. CPT and SPT results exhibit a very strong correlation (R2 = 0.9962 at Location 01 and 0.9839 at Location 02), indicating that CPT’s qc values are reliable predictors of SPT blow counts. In contrast, the correlation between ERT resistivity and CPT is moderate, with R2 values of 0.5564 and 0.6465 at the two locations, suggesting a moderate negative relationship where higher resistivity corresponds to lower qc values. The correlation between ERT resistivity and SPT is weaker at Location 01 (R2 = 0.0882) but stronger at Location 02 (R2 = 0.7114), indicating that resistivity has a more significant influence on SPT results at Location 02. In conclusion, while CPT and SPT show strong correlation and consistency in soil characterization, ERT provides supplementary data whose influence varies by location. This analysis underscores the complexity of integrating different geotechnical testing methods and the importance of considering site-specific conditions when interpreting subsurface data.
Determination of Excavation Method and Support System for Sultan Alimuddin - Kakap Tunnel Based on Surface Geology Mapping and Excavation Face
Authors: Martiane Wieta , Indrawan I Gde Budi , Anggara Ferian 
Published: December 2024

Abstract
With Samarinda serving as a key buffer to the capital city of Nusantara, which grapples with urbanization and congestion challenges, infrastructure development has become a critical focus, particularly the construction of the Sultan Alimuddin - Kakap Tunnel. Planned for Selili Village, this tunnel will be the first road tunnel in East Kalimantan and is strategically important for alleviating traffic congestion, enhancing the distribution of goods and services, and ensuring safety. However, the geological conditions at the construction site pose significant challenges, mainly due to weak rock with a high potential for landslides. By assessing the rock mass utilizing the Japan Society of Civil Engineers (JSCE) evaluation methodologies and the Rock Mass Rating (RMR), this research seeks to identify the most appropriate excavation techniques and tunnel support systems. To characterize the engineering geology, surface geological mapping, core drill analysis, tunnel excavation face mapping, and laboratory testing were performed. The RMR and JSCE assessment methods were compared to assess the rock mass quality and recommend appropriate excavation techniques and support systems. The findings reveal that the tunnel alignment is dominated by interbedded siltstone and sandstone lithologies. The rock mass quality along the tunnel, as reported by RMR, varies from fair to poor. Based on the JSCE method, the tunnel route falls into the DI, CII, and CI rock categories. The top heading and bench excavation method is recommended based on RMR, while the double bench method is suggested by the JSCE assessment. Although there are slight differences in the recommended support systems, both RMR and JSCE consistently advise using rock bolts and shotcrete as the main method of support for the tunnel.
The effect of glass powder and husk ash on the permeability of clay soil
Authors: Kusumastuti Dyah Pratiwi , Sajiharjo  , Pantouw John Paulus 
Published: December 2024

Abstract
In geotechnical engineering, hydraulic conductivity is a crucial characteristic that affects applications like stability analysis and irrigation management. However, clay soils usually have low hydraulic conductivity, which makes them unsuitable for use in several types of constructions. This current study investigates the combined use of glass powder and rice husk ash as additives and evaluates their impact on clay soil’s hydraulic conductivity. The research involved preparing soil specimens by mixing 10% glass powder with varying percentages of rice husk (2.5%, 5%, 7.5%, and 10%). Permeability testing was performed using the falling head method, following the Indonesian standard SNI 03-6870:2002. According to a grain size examination, more than 85% of soil’s small particles could be passed through a number 200 sieve. The result showed that adding glass powder and rice husk ash significantly increased the soil’s void ratio and hydraulic conductivity. With 10% glass powder and 5% rice husk ash added, the void ratio peaked at 0.633, and with 10% glass powder and 10% rice husk ash, the greatest hydraulic conductivity was 1.4973×10−3 m/day (1.7329×10− 5 cm/sec). However, only the specimen with 10% glass powder and 5% rice husk maintained hydraulic conductivity within the acceptable limit for liners and covers (≤ 1×10−7 cm/sec). The findings highlight the importance of optimizing stabilizer proportions to achieve desirable soil characteristics.