bluuebunny/crossref_metadata_2025_split huggingface dataset:
A numerical method for the optimal boundary control of a Rayleigh beam
Authors: Bao Kunlong , Cong Yuhao 
Published: December 2024

Abstract
The paper is dedicated to addressing the boundary control problem aimed at suppressing vibration in a Rayleigh beam. The dynamic of the Rayleigh cantilever beam is presented as a pseudohyperbolic equation, which describes the vibration of the Rayleigh beam. By means of the Hermite finite element method (FEM), we formulate an optimization problem aimed at determining the feedback gain matrices. Finally, the numerical simulation experiment is carried out to verify the effectiveness of the proposed method.
A new algorithm for determining the minimum eigenvalue of irreducible Z-matrices
Authors: Li Ling , Zhong Qin 
Published: December 2024

Abstract
The theory of minimum eigenvalue of Z-matrices is applied to many fields, and there are many methods to estimate and calculate the minimum eigenvalue. In this paper, a new iterative algorithm is obtained by diagonal similar transformation by the relationship between Z-matrices and nonnegative matrices. The algorithm can obtain the minimum eigenvalue satisfying arbitrary accuracy requirements.
LDPSR: a super-resolution network featuring the lightweight duplication plugin
Authors: Zhao Shuzhang , Yang Sibo , Bao Yuan 
Published: December 2024

Abstract
A new super-resolution (SR) technique by CNNs is introduced: Lightweight Duplication Super Resolution Network (LDPSR). This network achieves performance similar to mainstream non-lightweight network networks while maintaining a lower calculation cost and number of parameters, and has specially designed a Lightweight Duplication Plugin (LDP), which only generates addition operations without increasing the burden of multiplication operations, effectively improving the computational performance of the network. This plugin greatly reduces the network size by segmenting input images and expanding them separately to avoid increasing the parameter count. The network architecture includes a shallow part, a deep part, and an up-sampling part. By combining special convolution modules and lightweight plugins, the diversity of features is enhanced while controlling the parameters and costs of computational. This study provides a new network architecture and computing method that can achieve efficient SR on lightweight devices with lower computational costs and parameter requirements, to achieve the practical application value of SR technology.
Study on the destructive effects of shock waves on typical cabinets under explosive conditions within the cabin
Authors: Zhou Feixiang , Yu Cungui , Zhang Bing , Shi Rui , Zhang Wenyi 
Published: December 2024

Abstract
The implosion load generated by the explosion of the semi-armor-piercing anti-ship warhead is the main factor causing damage to the ship structure and the equipment in the cabin. Scientific understanding of the damaging effect of the explosion load in the cabin on the equipment in the cabin has also become an important topic in the design of the anti-explosion structure of the ship. In this paper, the typical ship-borne electronic cabinet is the goal. We analyze the cabin explosion environment of different equivalents and different blast distances of the naked charge of the explosion shock wave on the cabinet damage effect and compare it with the damaging effect of the cabinet in the free field environment. The results show that the maximum deformation of the panel is not located at the center point because of the two-wall corner structure formed by the cabinet panel and the lower wall of the cabin in the explosion environment. After the implosion load of the cabin tends to be stable, the displacement of the panel center point is larger than that in the free field environment, and its value is about 1.28 to 1.34 times that in the free field environment.
Research on the effect of vacuum on the performance of cryogenic tanks
Authors: Zhang Juyin , Wang Xueping , Zhao Zhiqi , Wei Jialin , Jin Shufeng 
Published: December 2024

Abstract
The thermal insulation performance of cryogenic tanks depends deeply on the vacuum level of annular space. By establishing mathematical models of thermal transmission under different vacuum levels and setting up corresponding test platforms, the vacuum failure test research was carried out. The variation laws of the pressure, boil-off rate, and temperature of the ullage were tested and analyzed with the vacuum levels of 0.001 Pa, 1 Pa, 100 Pa, and 1 000 Pa in the annular space. The results show that the theoretical calculation results are in good agreement with the experimental data. The heat flux with the annular space of 1000 Pa is 2.22 times, 13.69 times, and 107.5 times the amount of those with the annular space of 10 Pa, 1 Pa, and 0.001 Pa, respectively. Pressure rise rate, boil-off rate, and ullage temperature increase with vacuum level degrading, causing potential safety hazards.
Performance analysis of satellite-to-ground 16QAM coherent optical communication
Authors: Yang Jin , Yang Xinquan , Guo Jingzhong 
Published: December 2024

Abstract
Atmospheric turbulence and pointing errors are two major factors affecting satellite-to-ground coherent optical communication links. This study considers the effects of power scintillation and phase jitter caused by atmospheric turbulence, as well as active mode compensation for wavefront phase distortion. Additionally, residual pointing errors due to platform micro-vibrations are taken into account, and a statistical channel model is derived under the combined effects of atmospheric turbulence and residual pointing errors during tracking and acquisition. Based on this model, a closed-form approximate expression for the average bit error rate (BER) of 16QAM satellite-to-ground coherent optical communication is derived using the Meijer-G function. The results show that the derived BER expression matches well with numerical integration results, confirming its accuracy and applicability under various link conditions. Through numerical simulations, the effects of residual pointing error variance, turbulence strength, satellite zenith angle, and transceiver antenna aperture on the performance of 16QAM satellite-to-ground coherent optical communication are evaluated. The findings offer valuable theoretical insights for the design and optimization of future satellite-to-ground 16QAM coherent optical communication systems.
Challenges and analysis of combining FR1 and FR2 bands using 5G carrier aggregation
Authors: Lai Kexin , Mao Jianhui , Zhang Peng , Li Zhou 
Published: December 2024

Abstract
As 5G networks evolve to meet increasing demands for high-speed data, the integration of Frequency Range 1 (FR1) and Frequency Range 2 (FR2) bands has emerged as a key focus. While FR1 offers broad coverage, FR2 (mmWave) provides high capacity but faces challenges such as high propagation loss and susceptibility to blockage. Carrier Aggregation (CA) in 5G allows for the simultaneous utilization of multiple frequency bands, enhancing overall network capacity and performance by combining FR1 and FR2 resources. This study evaluates the effectiveness of CA in integrating FR1 and FR2 bands, comparing it to single-band operation. Simulations reveal that while CA improves overall throughput, significant differences in link capacity can lead to performance issues in specific scenarios. We propose a solution to mitigate these issues, which is validated through further simulations.
Person-eye state detection for deep foundation work of power transmission lines based on improved TOOD network
Authors: Chen Junyu , Ding Zheng , Sun Pengcheng , Wang Cong , Zhang Wei 
Published: December 2024

Abstract
Due to the unique challenges of underground environments, such as complex terrain, limited lighting, and safety hazards like collapses, water accumulation, and hazardous gases, the safety and health of personnel are at significant risk. Therefore, accurately detecting the physiological state of workers, particularly the recognition of eye states, becomes crucial. To meet the demands of detecting the eye states of workers in deep excavation operations under lower hardware conditions and in complex environments, this paper proposes an improved TOOD algorithm. The algorithm enables real-time detection in continuous frame sequences and extracts features using a well-designed lightweight ResNet50-NBt1D. Additionally, the use of a compact Feature Pyramid Network (FPN) to process data extracted by the backbone network further reduces computational complexity. By integrating an anchor-based training strategy, the model effectively selects multi-scale features and performs upsampling to achieve accurate classification and localization tasks, ensuring final detection precision while reducing unnecessary target information and parameter calculations. This provides a cost-effective solution for safety risk detection in deep excavation operations of underground power transmission lines. Finally, the proposed TOOD method was evaluated on a self-constructed dataset. Results show that the method achieved an average recall rate of 96.25% and an average precision of 97.16% in detection tasks, with a reduction in model parameters by approximately 71.62%. This demonstrates that the improved method offers an efficient and feasible solution for safety risk detection in deep excavation operations of underground power transmission lines.
A security algorithm based on SM9 for interdomain communication
Authors: Cheng Huayang , Li Yang , Yan Jing , Wang Dan , Dong Liangyu , Gu Junjie 
Published: December 2024

Abstract
In interdomain communication, confirming member identity and ensuring security is critical, yet identity forgery remains a challenge. Traditional solutions rely on a Certification Authority (CA) to issue authentication certificates and create a trust chain for identity verification. However, different security domains often have incompatible signature mechanisms, complicating certificate management and authentication. We propose a novel ring signature algorithm based on SM9 to address these issues. This algorithm enables member authentication across different domains, ensuring security irrespective of signature mechanisms and certificate versions. With ring signatures, members can authenticate their identities without revealing them to the CA, reducing certificate management burdens and enhancing system flexibility and compatibility. We provide algorithm correctness proofs and conduct security analyses to support practical implementation for identity authentication and communication security.
Development of three-dimensional magnetic field detection device based on FPGA
Authors: Zhu Zhongqiang , Du Xiliang 
Published: December 2024

Abstract
Aiming at the acquisition and real-time processing of three-dimensional magnetic field in space, this paper proposes a magnetic field detection device. It uses 64 three-dimensional magnetic field sensors to consist an 8x8 array measuring the magnetic field within the array range. It uses FPGA as the main control chip to simultaneously acquire the data collected by these three-dimensional magnetic sensors, and implements bilinear interpolation algorithm in FPGA to preprocess the magnetic image. Then it is transmitted to the computer through the Ethernet. The direction and magnetic field intensity of the magnetic vector are calculated by vector synthesis formula, and the data are further processed and plotted by MATLAB, which shows the measured space magnetic field vector information intuitively. The results of the experiment show that the device can obtain the three-dimensional magnetic field information of the space.
Simulation study of spread spectrum communication on satellite
Authors: Wang Jiaming , Gao Shuo , Yu Weicheng , Huang Bo , Xie Ye 
Published: December 2024

Abstract
All the basic principles and simulation models of the PMF-FFT capture algorithm, overlap-transform interference suppression, digital matched filter capture algorithm, delayed phase-locked loop tracking algorithm and Costas ring carrier synchronization in the starborne spread spectrum communication system are elaborated in detail. The waveforms and spectral variations in each stage of spread spectrum communication are simulated and verified using the Simulink tool. The results show that the model can achieve interference suppression, fast capture tracking of pseudocodes, and accurate synchronization of carriers at -30 dB SNR.
Combined ICEEMDAN and CMPE noise reduction algorithm for dynamic deformation data
Authors: Fu Wentao , Du Wenhong , Li Youming , Zhang Jiayuan , Zhang Xiuhua 
Published: December 2024

Abstract
To effectively segregate complex noise components within Global Navigation Satellite System (GNSS) deformation data, a noise reduction algorithm is proposed, which integrates the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and composite multiscale permutation entropy (CMPE). The algorithm initially employs the ICEEMDAN algorithm to decompose the observed data into a series of intrinsic modal functions (IMFs), and then develops a CMPE-based effective coefficient sieving method to accurately classify the IMF that contains effective information components, thus obtaining the GNSS deformation data after noise separation. The processing outcomes of both simulated and empirically measured data reveal that the adopted approach surpasses a solitary filtering algorithm in achieving optimal noise mitigation. Notably, the application of this method leads to a diminution of the root mean square error (RMSE) metric associated with the sequence of elevation coordinates, resulting in a reduction to 2.837 mm post-denoising and an enhancement of 32.9% in overall precision.
Image compression scheme based on region of interest recognition
Authors: Wu Dawei , Bai Enjian 
Published: December 2024

Abstract
With the development of networks, many fields now demand higher quality in specific image areas, such as main characters in photos, lesion areas in medical images, and features in remote sensing. At the same time, these fields need to manage data storage and transmission effectively for subsequent analysis and application. In order to meet the demand for image compression in modern society, this paper proposes an image compression scheme based on region of interest (ROI) recognition, dividing images into ROI and non-ROI regions and processing them with lossless and lossy compression, respectively, to improve efficiency and ensure ROI quality. The scheme uses the object detection network YOLOv4 to recognize the ROI of the image, designs an image block difference transformation to transform the image pixels into smaller values, designs a lossless DC encoding for the ROI of the image based on the difference between adjacent pixels, and designs a lossy DC encoding with quantization coding for the non-ROI of the image. Experimental analysis of uncompressed images shows the scheme effectively enhances compression efficiency while maintaining ROI quality, proving its practical value.
Incremental update algorithm for minimal dominating set of dynamic undirected graphs
Authors: Zhang Hongtao 
Published: December 2024

Abstract
Minimum dominating set is a basic graph problem. Most existing solving algorithms are designed for static graphs. In this paper, an incremental update algorithm is proposed to solve the minimal dominating set of a dynamic graph. This algorithm can quickly update the MDS when the structure of graph changes, and not need to recalculate based on the entire graph. By analyzing the characteristics of the four structural changes (adding vertices, deleting vertices, adding edges, and deleting edges) in the graph, a local update strategy for the minimal dominating set is designed, and a reduction rule for the minimal dominating set is proposed. This not only effectively reduces the computational complexity, but also enables the algorithm results to approach the minimum dominating set. Compared with traditional static algorithms, our algorithm has higher efficiency and accuracy in calculating the minimal dominating set of dynamic graphs.
Identification of Fungi that Decompose Avicennia marina Leaf Litter at 21-30 ppt Salinity Level to Improve Sustainability of Mangrove Ecosystem
Authors: Yunasfi  , Silalahi R , Utomo B , Dalimunthe A , Sembiring S , Purba J G , Sihotang V , Sitepu G A , Lubis S R 
Published: December 2024

Abstract
Due to its contribution of organic matter, litter creation is crucial to the sustainability of mangrove ecosystems. The breakdown process of litter involves the involvement of microorganisms, including fungi and bacteria. The purpose of this study is to quantify the amount of proteins and carbohydrates in the disintegrated leaf, as well as the rate at which Avicennia marina leaf litter decomposes and the fungus involved in the process. The Forest Cultivation Laboratory, Faculty of Forestry, University of North Sumatra, and the Medan Industrial Research and Standardization Center hosted this study from August 2023 to January 2024. Both the dilution approach and the litter bag method were employed in this investigation. The decomposition rate of Avicennia marina leaf litter was 10.71/year. There are 5 species of fungi obtained, namely Aspergillus sp. 1, Aspergillus sp. 2, Aspergillus sp. 3, Aspergillus sp. 4, and Penicilium sp. The index value of the diversity of the species of fungi found in Avicennia marina leaf litter is 1.50. The average percentage of carbohydrate content contained in the decomposed litter is 8.7% and protein content is 7.7%.
Analysis of erosion rate in Sleman District using the USLE (Universal Soil Loss Equation) method
Authors: Aini L N , Taufiqurrohman M A , Isnawan B H 
Published: December 2024

Abstract
Population growth has resulted in land conversion. One consequence is the potential for erosion. This research is to determine the rate and level of erosion hazard in Sleman Regency. The research was conducted using a survey method. Location determination was carried out purposively, while representative samples were determined using a stratified random sampling method based on land catena which is divided into 4 geomorphic units, namely upper slope, middle slope, lower slope and foot slope. The data obtained were analyzed using the empirical Universal Soil Loss Equation (USLE) formula. The results of the research show that the predicted erosion rate for Sleman Regency in the upper slope geomorphic units is 2.44-331.23 tons/ha/year, belonging to the very light to heavy erosion hazard class. In the middle slope geomorphic unit, it is 0.77-28.34 tons/ha/year with an erosion hazard level that is classified as very light to light. In the lower slope geomorphic unit, it is 0.43-6.62 tons/ha/year with a very light level of erosion hazard, while in the toe slope geomorphic unit it is 0.35-57.05 tons/ha/year with an erosion hazard level classification. which is classified as very light to mild.
The effect of agricultural policy on sustainability and environmental protection: omnibus law case study
Authors: Marpaung N , Nitami D A , Siregar O M , Eriza F , Asbi E A 
Published: December 2024

Abstract
This study assesses the effects of increased domestic investment in the Agriculture, Hunting, Forestry, and Fisheries sectors on environmental sustainability in Indonesia, particularly after the Omnibus Law was enacted in 2020. Using a descriptive quantitative approach and time series data from the Central Bureau of Statistics, relevant Ministries, legal documents, and previous research, the study examines the relationship between domestic investment and various environmental indicators. These indicators include the area of forest and aquatic conservation, total plantation land, greenhouse gas emission intensity, and energy intensity in agriculture. The analysis reveals that despite a significant rise in investment, there has been no notable impact on environmental sustainability. Forest and aquatic conservation areas have remained stable, and while plantation land has increased, it is unevenly distributed. Additionally, greenhouse gas emissions and energy intensity have shown stability with minor reductions, indicating that sustainable practices have not been effectively implemented. The findings underscore the need for more robust policies to ensure that increased investment also fosters environmental protection and long-term sustainability.
Multi-source environmental diversity mapping to assess potential level of soil degradation on coffee plantations: Ende Regency, East Nusa Tenggara
Authors: Mutiara C , Wahyuni S , Mujiyo M , Cahyono O , Dewi W S , Herawati A , Romadhon M R , Istiqomah N M , Irmawati V , Hardian T , Hasanah K , Anggita A 
Published: December 2024

Abstract
This study investigates the potential level of soil degradation from coffee plantation land use in the Ende district of Flores, East Nusa Tenggara. Given its significant economic role in the region, coffee cultivation has been noted for its detrimental impact on soil quality and health. The main goal of this study is to thoroughly assess the level of soil degradation and determine the key factors driving it. The methodology utilizes a scoring system based on land map units overlaid with thematic maps encompassing administrative boundaries, soil types, rainfall distribution, land use patterns, and slope gradients. Over the past six years, coffee productivity in Ende Regency has consistently declined, averaging 6.49 tons per year. The findings indicate that a substantial portion of Ende Regency, encompassing approximately 107,977.90 hectares, falls within the low potential for soil damage category. Recommendations for mitigation include adopting enhanced land management practices and implementing integrated pest and disease control strategies in coffee cultivation. This study aims to understand sustainable agricultural practices in coffee production contexts, emphasizing the importance of balancing economic development with environmental stewardship in fragile ecosystems like those found in Ende Regency.
Spatial distribution and characteristics of microplastic particles in sediments at Belawan Estuary, North Sumatra Province
Authors: Leidonald R , Muhtadi A , Fadhilah A , Susetya I E , Panjaitan E T , Sihombing M A , Qaulya U , Rohim N , Firdaus M , Tampubolon P A 
Published: December 2024

Abstract
The presence of plastic waste in waters, both in macro and micro forms, has been a widely researched topic in various studies at different observation sites. This underlies the need to study the spatial distribution of microplastics in the sediments of the Belawan estuary. In addition to the fact that no research has been conducted on microplastics in this area before, this study can provide up-to-date information and further analysis on the presence and abundance of microplastics in the sediments of the Belawan Estuary area. The purpose of this study is to determine the characteristics and distribution of microplastics in the sediments of the Belawan Estuary, North Sumatra. The research was conducted from September to December 2023. Microplastics in the sediments, obtained from 36 samples from aquatic sediments/sea floor and mangrove forest sediments, were found contain several types of microplastics, including fibers, fragments, foam, pellets, and films. Fragments and films were the most commonly found types of microplastics in the sediments of the Belawan estuary. Microplastics in mangrove sediments were found higher compared to aquatic sediments. The types of microplastic polymers found in the sediments of the Belawan estuary were Nylon, polyester (PES), polypropylene (PP), polystyrene (PS), and polytetrafluoroethylene (PTFE).