bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Card fault diagnosis of the pressurized water reactor off-heap nuclear measurement system based on expert experience and convolutional neural network
Authors: Jin Peng , Lu Jian , Guan Yue , Zhu Pengfei , Tian Ye , Zhu Weijian , Ye Jinmiao , Xie Linjun 
Published: July 2024

Abstract
The reactor nuclear measurement system is important in a
nuclear power plant. Its main role is to measure the reactor's core
power distribution using detectors and calibrate and provide data on
the core fuel consumption. This study describes the lack of fault
data and the lack of diagnostic methodology research in the
overhauling process and fault diagnosis of the off-heap nuclear
measurement system core card. This core card provides the detectors
with the necessary working conditions. It also collects signals. In
this study, we propose a methodology for the fault diagnosis of the
card through circuit analysis, simulation of functional module
division, fault data generation, and training of a convolutional
neural network diagnostic model. The proposed methodology can
transform the drawings into convenient diagnostic processes and
algorithms based on expert experience. These drawings are difficult
to use in actual overhauling conditions. The corresponding
experimental equipment was designed for practical testing. The
experimental results show that the accuracy of the obtained
diagnostic model for classifying preset faults can reach 99.5%,
indicating that this model can be applied in actual working
conditions. The accuracy of the trained diagnostic model in
classifying 13 kinds of faults in the training set during the actual
test was tested. Results show that the accuracy rate is close to
100%. Moreover, the correction of the model using the real
maintenance data in applying the actual maintenance conditions was
also analyzed. The intelligent diagnostic system that centers on the
fault diagnosis method investigated in this study has been applied
in the pressurized water reactor off-heap nuclear measurement system
digital transformation and upgrading project of Qinshan No. 2
Plant.
Tourism accessibility in a protected area: toward the psycho-social approach
Authors: Rahmafitria F , Pratama A R , Kaswanto  , Miller L 
Published: July 2024

Abstract
Tourism accessibility is one of the critical components in achieving sustainability in protected areas. The increasing tourism trend in protected areas implies the requisiteness of building a tourism accessibility conception that can guarantee the areas’ sustainability. Tourism accessibility in protected areas has to be understood comprehensively, physically and non-physically, as perceived limitless ease can affect tourist behaviors. This paper analyzes the components of accessibility using a perception approach. The research was undertaken in Taman National Komodo in 2019 by distributing questionnaires to 534 respondents. Results indicated that tourists’ perceived accessibility comprised five dimensions, i.e., destination, psychological, individual, physical, economic, and conservation. Out of the five dimensions, the conservation dimension, which was the knowledge about natural vulnerability in protected areas, could reduce perceived accessibility. Other dimensions increased perceived accessibility and impacted tourists’ ignorance behavior. It pointed out the salience of tourism planning for protected areas. This research is expected to provide input for sustainable tourism policy management in protected areas.
Trek n’ heal: A potential eco-sport tourism activity in Gunung Walat University Forest to reduce the stress for Gen-Z
Authors: Bawono P S , Maulina A Y , Fernando R , Raihan D M 
Published: July 2024

Abstract
Mental health issues are still under-reported in most low and middle-income countries, including in Indonesia. WHO states that mental health disorders as one of the causes of suicide of which the latter forms the fourth biggest cause of death of people aged 15-29 years or the so called Generation Z. Mental wellbeing of youth is crucial as they will carry on as future leaders of a nation. Healthy environment will create healthy wellbeing. One of the prevention strategies for mental health disorders is nature recreation. This research has the objective to identify potential recreational activities that can be carried out at Gunung Walat University Forest. The methods used in this research are observation; online interviews with 30 respondents stratified into three categories of 10 respondents: senior high school students, undergraduate students, and people who have graduated from university and have job; and literature review. This research found that activities especially trekking and orienteering were potential sports for reducing stress and other mental health issues according to the respondents.
Beyond concrete jungles: managing urban green spaces as butterfly hotspot and their implications for ecotourism in Pontianak City, Indonesia
Authors: Rushayati S B , Azahra S D 
Published: July 2024

Abstract
Urbanization and development in urban areas have led to changes in natural habitat of wildlife, including butterflies. To address this challenge, the development of green spaces as animal habitats and increasing public awareness of butterfly conservation through ecotourism programs are steps that can be taken. This paper explores the importance of RTH in Pontianak City related to its function as a butterfly habitat and its effective development strategy in supporting ecotourism programs, namely butterfly watching. The research was conducted from April 2022 to May 2023 in four green spaces in Pontianak City using the Pollard Walk technique in several seasons. The results showed the presence of 27 butterfly species from five families spread throughout the observation location. The diversity of butterfly species identified in each area and observation period indicates that the green spaces in Pontianak City can be developed as conservation and recreation areas based on environmental education. Management by creating habitat characteristics that support the presence of butterflies by considering the use of local plant species and landscape connectivity, as well as management that balances the needs of conservation, recreation, and education, conservation-oriented planning, and active involvement of related parties can help encourage the development of urban ecotourism.
High Conservation Value area in oil palm landscape as a potential ecotourism destination for birdwatching activity
Authors: Erniwati  , Santosa Y 
Published: July 2024

Abstract
HCV (High Conservation Value) areas in oil palm plantations has a potential to become an ecotourism destination, particularly where bird watching is concerned. However, the potential of HCV to become an ecotourism area has not yet been explored. The study aims to identify diversity of bird in different characteristic of HCV in oil palm landscape and to analysis which characteristic of HCV prospect to develop for bird watching ecotourism site. Data were collected using the line transect method in fourteen HCV areas in different plantation estates at different three provinces in Sumatera. The result showed about 87 bird species and 42 families were identified. Number of species recorded ranged from 10 species to 34 species each site. Based on species conservation status of IUCN, three species were listed as Vulnerable, according to CITES list, three species were classified in Appendix II. Eleven species were listed as protected species in Indonesia. The existence of these protected birds might be regarded as the iconic species of HCV areas, attracting tourists for birding. The HCV areas have a diversity of birds with different ecological roles which are thought to be related to the characteristics of the HCVs. The characteristics of HCV areas are; forest cover, riparian forest, or shrub, located in the middle of oil palm plantation had higher diversity of birds. Those kind of HCV characteristics is suitable to be developed as an ecotourism area. The management may utilize this study to design and manage ecotourism interventions, especially for birdwatching action.