bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Permanent Deformation of High Liquid Limit Clay Subgrade Based on Non-Uniform Distribution of Modulus
Authors: Fu Wei , Liu Shaoping , Shang Huayu , Liu Jie , Zhao Fujie
Published: December 2024

The wet and hot environment widely distributed in the south of China makes the roadbed seriously humidified after the completion of construction, which leads to the reduction of its structural stiffness, strength and stability, and makes the road rutting, cracking and other diseases frequent. In this paper, Geo-studio software is used to calculate the non-uniform distribution of humidity field at each point of high liquid limit clay roadbed. At the same time, Matlab software combined with Geo-studio and Abaqus software is used to establish the non-uniform distribution modulus field inside the roadbed considering the humidity difference at each point inside the roadbed. Based on the layered summation method, a calculation method of permanent deformation considering the non-uniform distribution of modulus inside the subgrade is proposed, and the principle and steps of the method are described in detail. The relevant research results have important reference significance for the design treatment of foundation and the control of settlement after construction of subgrade.
Effect of Aircraft Sliding Load on Dynamic Response of Cement-Concrete Pavement and Underpass Structure
Authors: Li Feilong , Jiang Changshan , Yu Qian , Han Jinbao , Zhang Heqing
Published: December 2024

According to the characteristics of an underpass under the runway in a flight area, a subprogram of the aircraft moving load was compiled, and the reliability of the model was verified using numerical examples. At the same time, the effects of different aircraft sliding loads on the dynamic response and safety of cement-concrete pavements and underpass structures were analyzed by numerical simulation. The results show that the B777-9 aircraft is taxiing on the cement-concrete pavement, the maximum vertical peak displacement is 5.03 mm. The vertical displacement of the cement-concrete pavement on the upper part of the pavement is limited when there is an underpass under the pavement. When there is a passage under the runway, the maximum vertical acceleration at the top of the runway, caused by the taxiing load of the B777-9 aircraft, was 7.29 m/s2. When there was no passage, the maximum difference of vertical peak acceleration caused by the B777-9 aircraft skidding loads was as high as 38.09%. When there was an underpass under the pavement, the maximum principal stress of cement concrete pavement floor was 3.59 MPa, but the calculated value was only 71.8% of the design value. When the aircraft glides perpendicular to the cement-concrete pavement above the underpass, the B777-9 aircraft could cause greater displacement, axial force, and bending moment on the top of the passage structure of 2.38 mm, –347.91 kN, and –71.61 kN·m, respectively.
Research on Deep Learning and Identification of Hidden Diseases in Asphalt Pavement Based on Ground Penetrating Radar
Authors: Wang Shanshan , Su Chunhua , Jiang Wenqing , Han Wenyang , Hu Xueliang , Chen Kai , Wei Jincheng
Published: December 2024

Ground penetrating radar (GPR) can be used for efficient and non-destructive detection of internal diseases in asphalt pavement, allowing for fast acquisition of a large amount of GPR image data. Currently, the identification of pavement diseases mainly depends on manual work, which significantly affects the efficiency of disease identification, and the identification results are prone to be affected by the operator’s personal opinions. This paper presents a method of identifying hidden diseases in asphalt pavement based on semi-supervised deep learning. Based on the YOLOv5 network, supervised learning was conducted on a limited number of existing samples to obtain the initial network model for disease identification. Then, the samples not subjected to manual labeling were identified and labeled, thus ensuring a balance in the types and the quantity of disease samples. Finally, a relatively comprehensive dataset was used for training to improve the identification precision of the intelligent model. The experimental results show that the overall precision of disease identification can reach 92% through the semi-supervised learning mode and the deep learning with expanded training dataset. The precision of identification results obtained from the semi-supervised learning model was improved by 24% compared to that obtained from the supervised learning model. The results also demonstrate that the new intelligent approach proposed in this paper can more effectively tap into the potential learning abilities of the model, thereby improving the precision of subgrade disease identification, and thus achieving accurate and efficient identification of pavement diseases.
Saved Travel Time and Travel Distance of City-Cluster High-Speed Rail: Evidence from the Yangtze River Delta
Authors: Xu Jie , Wang Di
Published: December 2024

This paper investigates the saved travel time (STT) of two short haul city-cluster high-speed rails (C-HSR) in China, in the competition with road transport and long distance high-speed rail (HSR) trunk lines. We analyze its correlation with passengers’ travel distance distribution based on the actual passenger flow. The results suggest that C-HSR has competitive advantage for haul distances between 31 km and 160 km. It depends on both the station to station distance and the out of vehicle time, whereas the latter has greater influence on shorter corridors. The reasonable ratio of the out of vehicle time to the in vehicle time is between 0.4 and 1.4. The distribution of C-HSR passengers’ travel distance is in line with STT. The distances of most C-HSR trips are within the range of C-HSR’s competitive advantage. The policy implications of the conclusions are operation schemes of C-HSR and even long distance HSR lines and the suggestion for C-HSR stations’ site selection.
Spatio-Temporal and Accessibility Analysis of Public Transportation System in Delhi
Authors: Saini Mukesh , Ugbede Awulu James , Berwal Parveen
Published: December 2024

Proximal accessibility to affordable healthcare is a requirement for human well-being particularly for the low-income earners. The study analyzes the spatial relationships to public transport access in Delhi utilizing geographic data retrieved from OpenStreetMap and Google Maps sources. Bus stops data within the study area in the General Transit feed specification format acquired from Delhi Transport Corporation (DTC) were also extracted into geographic data. The study reveals that a total of 55% of the transportation network area are inaccessible to any government health care facility within the standard maximum time adopted when using public transport. However, these government health facilities are suitably served when travel delay factors are not taken into account. A little over 98% of the entire area is served within the stipulated standard maximum time. The isochrone API suggests that there is a need to improve in the public transport system within Delhi particularly factors that tend to abhor a free flow of traffic as it leads to the inefficient serviceability of accessing public healthcare facility by means of public transport. Main aim of the present study is to investigate the service area of the points of interest and to evaluate the access between the bus stops and the properties of land-use and for this purpose in present study the software used was QGIS 3.28.3.
Research on the Evolutionary Patterns of Surface Subsidence During Deep Mining Beneath Huge Thick Sand Mudstone Layers Based on Fluid-Solid Coupling Effects
Authors: Sun Jie , Hao Zhe , Shen Cheng , Liu Le , Zhu Yanfei
Published: December 2024

To investigate the evolutionary patterns of surface subsidence during deep mining beneath thick and massive sandy mudstone layers with consideration of fluid-solid coupling effects, this study takes the Hongqinghe Coal Mine as a case study. A fully coupled numerical model is established using the FLAC3D simulation software. The model computes changes in pore water pressure, variations in surface subsidence, characteristics of roof movement, and floor displacement throughout the coal seam extraction process. Through result analysis, it was observed that during the advancement of the working face excavation, the pore water pressure above the goaf diminishes, while the pore water pressure around the periphery and within the coal seam floor increased. Subsequent to the completion of the mining activities, there was a 23.12% increase in pore water pressure within the floor. For the conditions of deep excavation in regions characterized by ample groundwater, accounting for the effects of fluid-solid coupling yields surface subsidence results that align more closely with empirical measurements. The maximum observed surface subsidence, factoring in fluid-solid coupling effects, reaches 790 mm. Furthermore, undertaking deep excavation in areas with abundant groundwater within massive sandy mudstone formations leaded to delayed and protracted subsidence phenomena. Consequently, the surface subsidence continues for an extensive period even after the conclusion of mining activities.
Application of ABC Classification Method in Inventory Management of Coal Machine Overhaul Enterprise
Authors: Wen Zhifeng , Liu Xiwang
Published: December 2024

This paper describes the application of ABC classification management method in the inventory management of coal machine overhaul enterprises. Through the use of ABC classification method, the inventory structure is optimized and integrated to improve the efficiency of material turnover and warehouse throughput, reduce the inventory level, reduce the production and operation risk, and improve the capital utilization rate, and the data is analysed according to ABC classification method. The results show that the A class materials out of the inventory frequency and unit price is high, need to be strictly managed; B class materials out of the inventory frequency is low, the impact is small, need to take a loose management; C class materials are cheap and the quantity is large, you can take a rough management method. Through the implementation of ABC inventory management one year later, the enterprise inventory amount is reduced, the turnover rate of inventory materials is improved, and the rate of consistency of the treasury accounts is also improved.
Characterization of Soil Physicochemical Properties and Soil Microbial Changes on Slopes and Flats of Discharge Sites with Different Reclamation Years in Alpine Mining Areas
Authors: Kong Lingjian , Zhang Lin , Shi Xingping , Huang Zhanbin
Published: December 2024

Ecological restoration in alpine open-pit mines significantly influences local microbial communities and soil properties. However, the adaptive responses of these communities during the initial years of mine dump slope and flat restoration remain poorly understood. Therefore, our study employs spatial sequence instead of time successional sequence to investigate early-stage changes in soil microbe and physicochemical properties in alpine mining land reclamation in Guoluo Tibetan Autonomous Prefecture, Qinghai Province, by high-throughput sequencing analysis of 16S rRNA amplicon study. The pH of the treatment site was neutral to alkaline (7.5–8.0) in different years. As the period of reclamation increased, EC showed initially higher on the flat than on the side slopes, with opposite results by 2021. CEC from the first year of reclamation flatland is lower than the slope, then with the increase of reclamation time the results are also opposite. Soil organic matter gradually increased, other nutrient content also increased to some extent, the overall flatland nutrient is higher than the slope nutrient content. In the process of mine reclamation and restoration, the bacterial community relationships are primarily as follows: Proteobacteria > Acidobacteriota > Bacteroideta > Actinobacteria > Firmicutes, and there are relative changes in their abundances. The results of the Qinghai West Copper Mining Area show that the physical and chemical properties have changed significantly, and the side slopes can be fertilized. Soil microorganisms are richer on slopes than on flat land, and better results in the first year of fresh reclamation should follow the technique and be continuously monitored.
Characterization and Analysis of Urban Residual Wastes as Refuse-Derived Fuel in Baguio City, Philippines
Authors: Victoriano Jhonette Kelly I. , Andaya Bea_Ann S. , Duran Jeffrey Z.
Published: December 2024

The increasing amount of waste in a limited space creates a problematic scenario, particularly in urban areas. Thus, methods of diverting waste wherever possible have become a trend, such as the utilization of refuse-derived fuel (RDF) for alternative energy. In this study, residual wastes were characterized and analyzed for the energy potential it could provide for Baguio City. The majority of the waste composition comprises plastics (35.63%) and paper (44.83%). The association of heating value to moisture was found to have a similar trend with other related studies. Finally, the performance parameters of the produced RDF patterned from Baguio City WACS were measured, where the HV (12.673 MJ/kg), moisture (2.414%), ash (4.757%), and sulfur (0.215%), satisfy the condition of RDF 3 based on ASTM standards. The conducted study may be used as a pilot test for the waste-to-energy scheme, especially since Baguio city has no established WtE system in place to date.
Application of Dipole Acoustic Logging in Wave Velocity Testing in Soft Formation in Offshore Areas
Authors: Wu Caihong , Zhuang Chunxi , Zhang Xu
Published: December 2024

Wave velocity measurement is one of the frequently-used and indispensable in-situ test in offshore wind power engineering investigation. The test results can be used to calculate the dynamic parameters of the soil and to evaluate the engineering geological characteristics of the site. Influenced by the severe environment in the ocean, the traditional continental wave velocity measurement is greatly restricted, and it is necessary to carry out a comparative study on the in-situ wave velocity test method in offshore. Relying on Jiangsu Dafeng offshore wind power project, through the field application of dipole sonic logging, as well as bending-extension element indoor test, it is found that dipole sonic logging has the significant advantages of fewer influencing factors, higher efficiency, and more accurate and reliable quality of the results compared with PS logging, and it can be used as the main method of wave velocity testing for the offshore engineering.
Experimental Study on Detecting Boulder in Offshore Areas Based on Dipole Acoustic Wave Remote Detection Technology
Authors: Wu Caihong , Wang Dong , Zhuang Chunxi , Cao Xu , Zhang Xu
Published: December 2024

The distribution of boulder in sea area is hidden and random, so it is difficult to find out by drilling or conventional geophysical prospecting technology. The existence of boulder poses serious harm or engineering safety hidden danger to offshore engineering, especially pile foundation engineering construction. Dipole shear wave remote detection technology is a new technology in the field of petroleum exploration in recent years. This technology uses dipole shear wave to reflect and image the geological body beside the borehole, and realizes the identification of the spatial location, shape and size of the reflector. Based on the basic principle of dipole shear wave remote detection, the idea of using this technology to realize accurate detection of boulder in sea area is put forward for the first time. The numerical simulation of remote detection imaging of boulder with different scales and different distances near the borehole is carried out, and the forward image of the model is obtained. Through the field dipole shear wave detection test and data analysis in the sea area, the identification of boulder is completed and verified by drilling, and good technical results are obtained. Dipole shear wave remote detection technology can be applied as a technical means for accurate detection of boulder in sea area.
Research on Mechanism and Influencing Factors of Improving the Effects of Steam Stimulation in Different Assisted Methods
Authors: Tong Lin
Published: December 2024

Because the steam stimulation development of heavy oil reservoir belongs to the blowdown depleted development, the reservoir energy can not effectively maintain the supply of liquid in the later stage of steam stimulation and the recovery efficiency gets worse. Injecting stream with some gas or chemicals to assist stream stimulation can effectively improve the development effect of heavy oil reservoir. This paper studied how the different additives influence the effect of steam stimulation using physical simulation experiment. Basing on the results of physical simulation experiment, numerical simulation methods were used to compare the different influences that the different cleanup methods make on the steam stimulation effect. The recovery effect of flue gas foam-assisted steam stimulation is the best with considering many kinds of factors. When the formation heterogeneity is very bad and the oil viscosity is very high, the recovery effect of flue gas foam assisted steam stimulation can be more obvious.
Analysis of Causes of Wall Thinning of Ammonia Pipes in a Power Plant
Authors: Zhang Yiwen , Tao Kangning , Hu Shusen , Zhu Linye
Published: December 2024

Since December 2022, the pipe wall thinning or leakage phenomenon has frequently occurred in a power plant. The failure parts mostly occurred at the lower part of the horizontal pipes. The failure position is 30 mm–60 mm before and after the pipe weld. The initial leak point is small. After being tapped by the hammer, a large area of the pipe section near the leak point is broken. At this time, two TP316L ammonia pipes’ wall of a 600 MW power plant unit were found thinner after more than two years of operation. Causes of thinning were analyzed by macroscopic examination, chemical composition analysis, metallographic examination, hardness test, scanning electron microscope (SEM) and energy dispersive spectroscopy (EDS) analysis, and X-ray diffraction test (XRD). Results show that a large number of parallel-distributed second phases in the matrix of the base metal, which indicates an inadequate heat treatment of the original pipe. Corrosion products were found on the inner wall of the pipe, which are generated by the reaction of the pipe with NH3, CO2 and H2O, and no other abnormal phase is found. The results show that the main reason for the failure of the ammonia pipeline is methylammonium corrosion, and the secondary reason is the original metallographic microstructural defect of the pipeline material.
Dispatching Taxi Cabs with Ridesharing – An Efficient Implementation of Popular Techniques
Authors: Jelinski Bogusz
Published: December 2024

The article describes how to effectively dispatch hundreds of thousands of ride requests per hour, with thousands of cabs. Not only which cab should pick up which passenger, but which passengers should share a ride and what is the best pick-up and drop-off order. An automatic dispatching process has been implemented to verify feasibility of such cab sharing solution, simulation was used to check quality of routes. Performance of different programming tools and frameworks has been tested. Thousands of passengers per minute could be dispatched with basic algorithms and simple hardware and they can be dispatched in a cab sharing scheme very effectively, at least 11 passengers per cab per hour. The spotlight is on practical aspects, not well-known theory. The goal is to verify feasibility of a large-scale dispatcher and to give its benchmark. Implementation of algorithms including a dispatcher and simulation environment is available as open source on GitHub.
Sustainable Transportation and Intelligent Infrastructure Development in Saudi Arabia: A Study on the Impact of Saudi Vision 2030 and Renewable Energy Integration
Authors: Alanazi Fayez , Alenezi Mamdouh
Published: December 2024

This research paper examines the influence of Saudi Vision 2030 on the advancement of sustainable transportation and intelligent infrastructure in Saudi Arabia, specifically emphasizing the incorporation of renewable energy sources. The study evaluates the existing condition of transportation and infrastructure within the country, identifies the primary obstacles and prospects encountered by the sector, and assesses the efficacy of Saudi Vision 2030 in tackling these challenges. Furthermore, the research explores the potential of renewable energy sources, including solar and wind power, to facilitate the progression of sustainable transportation and intelligent infrastructure in Saudi Arabia. Through a quantitative research approach, this study sheds light on the impact of Saudi Vision 2030 and provides insights into the future prospects of sustainable transportation and intelligent infrastructure development in Saudi Arabia.
Learning Sustainable Mobility Behaviour in Post-Pandemic Vienna
Authors: Braşoveanu Adrian M.P. , Nixon Lyndon J.B. , Scharl Arno
Published: December 2024

Sustainable mobility behaviour is a difficult goal to reach, as people are not willing to change their habits simply because it might help the environment. One method to change their mind is to create various incentives. Before doing this, however, it is important to understand their behaviour. This paper is focused on understanding people’s activity (e.g., next trip prediction, classification of their activity) based on their recent trip data collected through a mobility app. The early experiments show that a classical method based on gradient boosting leads to better results that more state if the art deep learning methods for these tasks.
To Be More Concrete About Abstracta and Concreta
Authors: Toyoshima Fumiaki , Niki Satoru
Published: December 2024

The distinction between abstract and concrete entities, especially its precise characterization, remains underexplored in foundational ontology research. This paper aims to constitute the initial steps towards a formal ontology of abstracta and concreta. We begin by presenting three existing criteria (epistemic, spatiotemporal and causal) for the abstract/concrete distinction. We illustrate them with some well-known upper ontologies. After examining the shared assumption by the three criteria that any entity is either abstract or concrete but not both, we develop an alternative and more general framework for formally representing abstract and concrete entities. In particular, we propose a relational account of them by introducing the relation of “concretization”. The pivotal idea is that being abstract (or concrete) amounts to being concretized by (or concretizing) some other entity. We also briefly discuss a concretization-based reinterpretation of the spatiotemporal criterion and universals.
Ontology as Structure, Domain and Definition
Authors: Bennett Brandon , Sindoni Giulia
Published: December 2024

The paper presents a spatio-temporal ontology guided by a particular methodology, in which the semantics is constructed within a spatio-temporal interpretation structure that is built up in three stages. The first, stage stipulates a standard classical model of time and space. This structure forms the grounding for the interpretation. The next stage is the specification of domains of entities, which are either elements of the grounding structure (time points and regions) or constructions from these elements (mappings from time to space associated with individuals existing within the spatio-temporal structure). The final stage is the definition of conceptual vocabulary in terms of the grounding structure and the specified domains. This definitional stage can be further subdivided into three types of specification: direct grounding of primitives onto the underlying structure, indirect grounding by defining additional vocabulary in terms of grounded primitives, partial grounding by specifying semantics types and axioms to constrain the meaning of vocabulary that is not explicitly defined. The main goal of the paper is to advocate a methodology rather than a specific ontology. We suggest that building up in this way, results in robust ontologies, whose assumptions can be clearly seen, since they are encapsulated within the grounding stage and domain specifications. Although the definitional stage may incorporate a diverse and expressive vocabulary, its terms are essentially just labels for properties and relations that were already implicit within the grounding structure.
Towards Semantic Interoperability Among Heterogeneous Cancer Data Models Using a Layered Modular Hyper-Ontology
Authors: El Ghosh Mirna , Kalokyri Varvara , Sambres Melanie , Vaterkowski Morgan , Duclos Catherine , Tannier Xavier , Tsakou Gianna , Tsiknakis Manolis , Daniel Christel , Dhombres Ferdinand
Published: December 2024

Semantic interoperability is a growing and challenging subject in the healthcare domain. It aims to ensure a coherent and unambiguous exchange, use, and reuse of health information among different systems and applications. In the context of the EUCAIM (Cancer Image Europe) project, semantic interoperability among various heterogeneous cancer image data models is required to support the communication, integration, and sharing of data in a standardized and structured way. For this purpose, hyper-ontology is developed as a common semantic meta-model that bridges the disparate imaging and clinical knowledge of the various repositories in EUCAIM and supports their integration. EUCAIM’s hyper-ontology is also an application-based ontology targeted for federated semantic querying and image annotation. To facilitate the hyper-ontology building process and ensure the extensibility of the ontology model, an iterative hybrid well-founded approach that divides the ontology structure into layers and modules is established.
Diffraction and Interference of Complex Structure
Authors: Zhao Bangzhe , Jiang Yuxi , Yang Zunfu , Feng Bochun , Lu Ying , Zhang Chenghao , Wang Lina
Published: December 2024

This experiment mainly studies the interference diffraction phenomenon of two kinds of complex structures. One is to use the hexagonal structure of the watch strap to carry out the interference diffraction experiment of light. By changing the distance between the light source and the hexagon, and the position of the receiving screen to observe the diffraction phenomenon, it is found that the hexagonal interference diffraction phenomenon is obvious, and the distance is an important parameter affecting the interference phenomenon. At the same time, we set up a set of instruments that conform to Kirchhoff diffraction. Using Kirchhoff theory, the relative intensity diffraction formula of diffraction of complex structure-hexagonal-like holes on the screen is derived, and the instrument is used to simulate different incident angles. Different diffraction patterns find out the internal laws between them.
Development of the Calibration Device for Torque Multiplier
Authors: Xu Jian , Zhang Yizhi , Chen Kexing
Published: December 2024

The torque multiplier, as a device that generates extra-large torque, is widely used in industries such as aviation, aerospace, and shipbuilding. The multiplier amplifies and transmits input torque via an internal mechanical gear set, that the mechanical wear and increased assembly clearance caused by long-term use will have a certain impact on the accuracy of its output torque value. The development of an on-site calibration device, which measurement range is 200–5000 Nm, and can calibrate coaxial or non-coaxial torque multipliers is introduced in this paper. The device with small volume is easy to move. It is also equipped with intelligent instruments, which can achieve loading and unloading control, automatic recognition of sensors, automatic collection and calculation of output input torque ratio.
Effects of Work Support System for Construction Machine Work
Authors: Yamada Hironao , Ueki Satoshi , Ikeda Takahiro
Published: December 2024

In this study, we developed an “MR (Mixed Reality) work support system” that can visually display information from the construction supervisor to worker with the aim of quickly and accurately communicating complex instructions to workers that were difficult to convey. The comparative experiment with two conventional instruction methods was performed to verify the effectiveness of the proposed system. The results confirmed that the proposed system decreased working time, and the proposed system was also effective in reducing workers’ mental burden.
Research on Enhancing the Teaching Effectiveness of Motion Control System Course Under the OBE Concept Through Data Visualization
Authors: Guo Yonghui
Published: December 2024

This article explores how to use data visualization technology to enhance the teaching effectiveness of motion control system courses based on the Outcome Based Education (OBE) concept. By designing and implementing a comprehensive data visualization system, a visual display of students’ learning progress, mastery, and teaching effectiveness can be achieved. The research results indicate that data visualization technology not only enhances students’ learning interest and participation, but also helps teachers accurately identify teaching difficulties, adjust teaching strategies in a timely manner, and significantly improve the teaching quality of the course and students’ comprehensive abilities. This paper provides new insights and methods for OBE teaching reform in Motion Control Systems courses, demonstrating the potential of data visualization in enhancing teaching effectiveness.
Optimization and Application of Green Supply Chain Management in the Smart Grid Environment
Authors: Guo Yonghui
Published: December 2024

This article explores the optimization strategies and practical applications of green supply chain management in the smart grid environment. The introduction of smart grid technology provides a new opportunity for the green transformation of the power supply chain, achieving efficient energy utilization and low-carbon emissions through advanced technologies such as big data, cloud computing, and the Internet of Things. The article analyzes the connotation and characteristics of green supply chain management, and focuses on discussing the role of smart grids in promoting green supply chain management from three aspects: supply chain collaboration, resource allocation optimization, and risk management. Research shows that smart grid technology has significant effects in improving supply chain efficiency, reducing environmental pollution, and enhancing corporate competitiveness, providing a reference for future research on green supply chain management.
Outline of a PAC Learnable Class of Bounded Functions Including Graphs
Authors: Xu Kevin H.
Published: December 2024

A graph G = {V, E}, with a finite number of vertices V and a finite number of edges E, has a property of a possibly infinite number of paths where a path is a sequence of vertices one walks along edges from one vertex to another. In this paper, we describe a graph as a function in the Enterprise-Participant (EP) data model and outline that a graph G, i.e., the function representing G, is Probably Approximately Correct (PAC) learnable, i.e., there is a learning algorithm in polynomial time that constructs edge representations in an EP database as a program P from a set of sampled paths and EP’s built-in reduction rules enables the reasoning of global transitive relations of the graph: there is a path from A to C if there are two paths A to B and B to C. Such a reasoning is also called a prediction, where predicting that A to C is not a path is an error when A to C is actually a path and an edge along the path A to B or B to C was not fed to the algorithm as part of a sample path. We generalize this learnability to a class of bounded functions. It is a reminder that data can be better represented in an EP database than in a graph before being embedded in distributional semantic learning models.
Method and Improvement of Channel Estimation
Authors: Wu Kangle , Fei Teng , Qin Zhiwei , Zhang Yihui , Jia Yuxin , Wu Pengcheng
Published: December 2024

Channel estimation plays a crucial role in wireless communication systems as it involves inferring channel characteristics from received signals. Due to the unique nature of wireless communication environments, signals transmitted by the sender are subjected to various interferences such as transmission loss and noise pollution, making signal recovery at the receiver challenging. Accurate channel estimation is vital for the reliability and performance of data transmission. This paper provides an overview of the basic principles of channel estimation, the advantages and disadvantages of channel estimation techniques based on deep learning, development trends, and discusses improvements to traditional channel estimation methods.
A Monte Carlo-Based Fast Sample Entropy Algorithm
Authors: Huang Zhengyang , Chen Chao , Huang Shizhen
Published: December 2024

Sample entropy is widely used in complexity analysis. It analyzes the complexity of time series by calculating the probability of template matching success at different scales. However, the direct calculation of sample entropy takes a long time. Although some studies have proposed several fast sample entropy algorithms, these algorithms still fail to achieve substantial acceleration with increasing data length. This paper proposes a fast sample entropy algorithm based on Monte Carlo (MC-LW algorithm). It is optimized based on a fast sample entropy algorithm—lightweight (LW algorithm) combined with the Monte Carlo method. First, the time series is downsampled using Monte Carlo methods, and then the optimized LW algorithm is used to calculate the downsampled time series. Direct sample entropy requires a similarity search of the full space. Fast algorithms also require a comparison of all-time series. This approach combines the advantages of the LW algorithm and Monte Carlo methods to accelerate the calculation of sample entropy. As the data length increases, the MC-LW algorithm can achieve more than a hundredfold acceleration compared to direct sample entropy algorithms. The paper experimentally compares the MC-LW algorithm, direct sample entropy algorithm, and LW algorithm in terms of entropy distinguishability and computation time, demonstrating that this algorithm effectively accelerates the calculation of sample entropy.
Age-Conditional Face Prediction Model Based on Improved CycleGAN
Authors: Che Lixing , Liang Yi , Zhang Dianwei , Qiu Mingyue
Published: December 2024

The issue of missing children has always been a sore point of social concern, with the number of their cases increasing year by year, and the phenomenon of disappearance has not completely disappeared despite the long-term anti-trafficking operations carried out by public security departments. The pain and broken families brought by cases of missing children pose a threat to social stability. Children’s faces change significantly with age, which increases the difficulty of identification and retrieval, and existing techniques have many limitations in coping with these changes, which need to be updated and improved. In this study, an age-conditional face prediction model based on improved CycleGAN is proposed, aiming to solve the problem of recognizing and retrieving missing children. The study constructs a model capable of predicting what a child will look like in adulthood by introducing advanced generative adversarial network techniques and age-conditional constraints. The model utilizes a large amount of face data obtained from public security bureaus and the Internet, and adopts a segmented age domain to improve the model’s ability to capture age changes. Accurate generation of facial features for different age groups is achieved through CycleGAN’s cyclic consistency network and identity coding techniques, combined with StyleGAN’s modulated convolution. The improved CycleGAN model not only effectively solves the limitations of traditional methods in dealing with significant changes in children’s facial features, but also dramatically improves the detection rate of missing children cases in practical applications, providing efficient technical means for public security departments. The model has high generalization value and can be used not only for the identification of missing children, but also in more fields to continuously improve the overall safety and stability of the society.
Transformation and Upgrading of Cyber Security Major in Vocational Colleges in the Context of New Quality Productive Forces
Authors: Yang Xiong , Yang Cheng
Published: December 2024

Cyber security serves as the base and link for the development of new quality productive forces. Vocational education is supposed to be aligned with the evolution of technology, and transforms from emphasis of hands-on skills to development of independent problem-solving skills, then promote students’ critical thinking. The transformation and upgrading of cyber security major in vocational colleges aims at the establishment of a practical training system for skilled professionals and talents, thorough analysis of the contents of new ‘Teacher, Teaching and Textbook’ in the new situation, development of ideological and political elements, optimization of the research and development capability of teaching staff, integration of multiple initiatives to generate a government-industry-college-institute integration system based on “one network (cloud network), two terminals (institutions and enterprises), three chains (innovation chain, education chain, industry chain), and four security (security communication, security data, security software, security computing)”. This article combines the characteristics of vocational colleges, analyzes the existing problems and shortcomings through investigating the current problems of network security talent training and the needs of industrial development, summarizes practical experience, and proposes innovative paths for talent training under the era of new quality productive forces. Finally, these measures of cyber security are entitled to achieve the key supportive role for the development of new quality productive forces.
Research on the Ethics and Privacy Protection of Artificial Intelligence
Authors: Xue Mingjun , Mu Xianze , Guo Yuxin , Zhao Bangzhe , Zhou Chunyu , Wang Lina
Published: December 2024

With the rapid development of science and technology, artificial intelligence (AI) has become a hot topic in today’s society. However, the widespread use of AI technology also brings a series of ethical and privacy protection issues. These issues not only concern the privacy rights of individuals, but also affect the fairness and trust of society. Therefore, this paper aims to explore the importance of AI ethics and privacy protection, analyze the current challenges, and propose practical solutions. Through the research of this paper, we hope that more people will pay attention to this field and jointly promote the healthy development of artificial intelligence technology.
Reproductive Health Problems Among Women in Selected Terai Districts of Nepal: A Critical Medico-Legal Assessment
Authors: Baniya Mahadev , Halder Debarati , Pandey Ashok
Published: December 2024

Reproductive health challenges persist among women in Nepal's Terai districts, posing a considerable public health burden. The aim is to investigate the prevalence and determinants of reproductive health issues, including Pelvic Inflammatory Disease (PID), Pelvic Organ Prolapse (POP), cervical lesions, cervical cancer, and their associated risk factors. This research utilizes a mixed-methods strategy to thoroughly investigate reproductive health issues among women of reproductive age in specific Terai districts of Nepal. The quantitative aspect of the study encompasses a cross-sectional survey administered to 570 women, employing Slovin's formula for sample size determination and pretested semi-structured questionnaires. Through the saturation theory, along with in-depth exploration and targeted analysis, 40 participants were interviewed, enabling a comprehensive understanding of the investigated phenomenon. The obtained data was analyzed in SPSS with the level of significance <0.005 level. The results indicate a high prevalence of uterine prolapse (42.5%) and cervical cancer (57.5%) within the surveyed population. Pelvic Inflammatory Disease POP, cervical lesions, and cervical cancer are notably linked to various factors including age, ethnicity, economic status, health-seeking behavior, age at first childbirth, nutritional status, and workload (p<0.005). Qualitative analysis identified underlying factors contributing to these reproductive health challenges and insights into health-seeking behavior and treatment practices. These findings highlight the critical need for tailored interventions and healthcare initiatives to tackle the prevalent reproductive health issues. Enhanced awareness of available reproductive health services is crucial for women's well-being. This study offers valuable insights into the complex landscape of reproductive health problems in Nepal's Terai region, laying the groundwork for evidence-based interventions and policy development aimed at enhancing the reproductive health outcomes for women in this demographic.
Evropská unie po Essenu
Authors: Marcell von Donat
Published: December 2024

European Union after Essen
Česká křesťanskodemokratická politika v evropském kontextu
Authors: Ivan Pilip
Published: December 2024

Czech Christian Democratic Policy in the European Context
Z Pusanu do Pchanmundžomu
Authors: Zdeněk Zbořil
Published: December 2024

Paik Sun Jup: From Pusan to Panmunjom. Předmluva: Matthew B. Ridgway a James A. Van Fleet.Brassey's (US) Inc. 1992, 271 stran.
Cloud Computing Security Threats and Responses
Authors: Saurabh Kansal
Published: December 2024

Currently some of the most preferred models of technology delivery are cloud computing models of technology, which have dramatically transformed data management and storage but have also resulted in sophisticated risks. In this paper, we will analysis the development of cloud security threats, typical threats, and new threats in multi-cloud environments. Security enhancements are outlined, and the array of shortcomings of previous security solutions are presented, as well as prospects and challenges related to compliance. It is found that for combating these threats, there is need for implementational security measures, responsive technologies and standardized policies across the world. New ideas like zero-trust security and cryptographic forms are also stated to address the risks. This review’s implication, therefore, is that there should be partnerships in realizing safer and more robust clouds.
Fabrication of an In-house Phantom for Evaluation of Metal Artifact Reduction in Computed Tomography
Authors: Stevania F. Adhillaksa  , Choirul Anam  , Heri Sutanto  , Ariij Naufal  , Riska Amilia  , Ilham Alkian  , Adiwasono M. B. Setiawan
Published: December 2024

Purpose: This study aims to fabricate an in-house phantom for evaluating effectiveness of a metal artifact reduction (MAR) algorithm in computed tomography (CT) images. Methods: The in-house phantom was made from polyester-resin (PESR) with methyl ethyl ketone peroxide (MEKP) as a catalyst. The dimension of the phantom was 160 mm in diameter and 50 mm in length with seven insert holes ranging from 10 to 20 mm. The titanium representing a metal implant and calcium carbonate representing the bone were inserted into the holes of the phantom. The phantom was scanned using a GE Revolution Apex CT scanner, slice thickness of 1.25 mm, and tube current of 200 and 370 mA. Images were reconstructed using filtered back projection (FBP) and MAR algorithm for reducing metal artifact. Artifact evaluation was characterized by changing in CT number and image noise. Results: Titanium material increases metal artifact in the in-house phantom. Metal artifact from titanium decreases CT number around 5% and increases noise level around 60%. MAR implementation can reduce metal artifacts, which is indicated by an increase in the CT number around 0.7% and a decrease in noise level around 30%. Conclusion: The in-house phantom for evaluating MAR algorithm was successfully developed. The presence of titanium increases metal artifacts, which is characterized by a decrease in the CT number and an increase in noise level in the area around the titanium. It is found that the MAR succeeded in reducing metal artifacts.
Changes of Soil Microbial Characteristics and Nutrient Content in Sandy Soil Under Drip Irrigation System
Authors: Gaballah Maybelle , Ragab Samar , El-Gindy Abdel-Ghany , Arafa Yasser
Published: December 2024

A field experiment was conducted to investigate the changes in soil bacteria when using the bio fertilizers such as; azotobacter, bacillus circullans and bacillus megaterium in sandy soils across varied numbers of cultivated years using drip irrigation. Drip irrigation had a significant effect on bacterial levels. The biological qualities of the soil improved significantly as the number of years planted under drip irrigation rose. After two years of cultivation, the bacterial levels increased 102 times more than on uncultivated ground. The vertical direction, the number of bacterial colonies reduced as soil depth increased. The Bio-fertilizer treatment improved soil fertility more than any other therapy. The average total N, total P, and total K in 0-45 cm soil layers rose to 29.17, 26.67, and 36.7%, respectively. The soil environment was considerably improved, with significant positive relationships between bacterial, phosphate, and urea activity, as well as significant negative correlations with Ece and pH. We anticipate that soil microbial properties in drip-irrigated sandy soils will improve after 6-7 years of cultivation.
Screening of Soybean Varieties against Salinity stress at an Early Vegetative Growth Stage under Hydroponic Conditions
Authors: Fauziah Annisa , Prameswari Wuri , Inoriah Entang
Published: December 2024

Salinity is a principal environmental severe stress that significantly threatens crop production, including soybeans. It considerably affects various plant growth and physiological traits at different soybean growth stages, especially in coastal areas. However, the high soil pH in these regions presents a challenge. In this study, we screened two soybean varieties using an easy and rapid, and inexpensive screening technique. This study aimed to select soybean tolerance salinity stress in the early vegetative growth stage under hydroponic culture. The study was meticulously done with a randomized complete block design comprising two factors (varieties and NaCl) with three replications. Two soybean varieties, i.e., ‘Gepak Kuning and Dering 1’, were tested at three NaCl levels, i.e., 0, 60, and 120 mM. The results showed that each type of plant behaved differently to each stress level. The stress of 60 mM revealed that the Dering 1 variety was tolerant, whereas the Gepak Kuning variety was only somewhat tolerant. In conclusion, the Gepak Kuning variety was tolerant to 60 mM salinity stress, while the Dering 1 variety showed 60 mM and 120 mM salinity tolerance. These results will help select the most tolerant varieties to develop salinity-tolerant varieties in the future.