bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automation in the Maritime Transport System – A Framework for Planning Resilient Operations
Authors: Ramstad Lone S. , Marie Stene Trine , Fjørtoft Kay , Holte Even 
Published: October 2024

Abstract
Maritime transport systems (MTS) are becoming increasingly automated, integrated and complex. New technology, automation and autonomous systems will contribute to safer, greener, and more efficient transport systems. However, the advancements pose new challenges, and it is a need to understand and manage the potential brittleness and risks. Uncertainties and the unknown should be prepared for when planning the implementation of new technology.
Hence, this paper presents a framework to support the planning for resilient operations when introducing autonomy in a MTS. The framework is based on a resilient approach and is the first draft of a framework being developed within the research project Maritime Resilience Management of an Integrated Transport system (MARMAN).
The approach is intended to facilitate a process where MTS actors work systematically to identify challenges, clarify potential future measures, and prepares for integrating automation and autonomy in a system. The method emphasizes the needs for cooperation, coordination and integrated planning across different transport modalities, organizational boundaries and stakeholders. But also between humans and technology, focusing on the different levels of planning (i.e. strategic, tactical and operational), where the main objectives will be to increase resilience by coping with potential critical events. In addition, continuous learning and commitment between actors and how to use the new technology are crucial for enhancing resilience.
Research on Autonomous Collision Avoidance of USV Based on Improved APF Algorithm
Authors: Gu Chaohong , Feng Youbing , Zhong Weibo , Cai Litao , Chu Huiyan 
Published: October 2024

Abstract
Aiming at the problem of Unmanned Surface Vessel (USV) avoiding dynamic vessels on the sea surface, an Artificial Potential Field method based on Velocity Obstacle Method (VO-APF) was studied. Under the premise of complying with the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs), the overlapping of ship domains is minimized. The Quaternion ship domain was introduced into VO to make it more suitable for collision avoidance judgment in the ship domain, and the collision avoidance time of the ship was predicted, and the reasonable obstacle avoidance point was finally obtained. The attraction function of the obstacle avoidance target point and the repulsion function of the ship domain based on the APF are set, and the USV is subjected to the repulsion force and attraction in the APF, and finally completes the whole dynamic ship collision avoidance task. In the simulation environment, VO, APF and VO-APF were compared in three different encounter situations. The results show that VO-APF can help USV to complete the collision avoidance task under the premise of complying with COLREGs, and the overlap time between USV’s own ship domain and the other ship domain is the shortest, and the safety degree is the highest.
Digital Twin Model Study of Piping Acoustic Induced Vibration Risk
Authors: Li Qi , He Mengfu , Qin Manqing , Lai Haibin 
Published: October 2024

Abstract
The research and calibration of digital twin models are crucial for developing an intelligent monitoring system for pipeline acoustic induced vibration. This study addresses the rapid assessment of acoustic induced vibration risks during the design stage using a digital twin model. First, the likelihood of failure (LOF) due to acoustic induced vibration was calculated based on EI guideline, providing a quantitative risk assessment. Concurrently, numerical simulations were conducted to validate these results. The findings show a high consistency between the two methods, indicating their complementary and validating roles. Therefore, the integrated use of methods based on EI guidelines and numerical simulation provides robust technical support for early-stage assessment of acoustic induced vibration risk in pipeline design, enhancing both accuracy and reliability of the evaluation, and laying a solid foundation for pipeline design and safety assurance.
Steam Pressure Control of Marine Boiler Based on AFSA-PSO-LSSVM
Authors: Yuan Xiemin , Huang Yinrong 
Published: October 2024

Abstract
To solve the problem that the main steam pressure fluctuates greatly when the load of the combustion control system of the marine main boiler changes suddenly, present a combined inverse control system of Support vector machine and PID to control the steam pressure intelligently. The inverse model of the nonlinear system identified by LSSVM is used as the feedforward controller and the PID controller is used as the feedback controller. The hybrid intelligent algorithm of artificial fish swarm Algorithm and particle swarm optimization is used to optimize the parameters of the control system. The AFSA algorithm is used to search the initial values of the parameters and the PSO algorithm is locally updated. Finally, the mechanism of the steam pressure control system of the marine boiler is modeled and simulated, and the algorithm models of AFSA-PSO-LSSVM-PID, AFSA-LSSVM-PID, PSO-LSSVM-PID and LSSVM-PID are established. The experimental results show that the AFSA-PSO-LSSVM-PID model has a good dynamic, stability, anti-interference ability and robustness.
ILKD: An Incremental Learning and Knowledge Distillation Framework for Coronavirus Risk Prediction
Authors: Shen Jiahao , Shen Ao , Huang Hao , Hou Yijie , Kou Zheng 
Published: October 2024

Abstract
The coronavirus pandemic has seriously affected public health and social order. Prediction methods based on machine learning can identify the infectivity phenotype and pandemic risk of coronavirus. Currently, six types of coronaviruses that infect humans have been discovered, with significant differences in viral genome sequences. Continuous genetic variation of the virus will lead to reduced performance of machine learning models and potential learning forgetting. To solve this challenge, we propose an incremental learning and knowledge distillation framework (ILKD). First, we employ Dna2Vec to extract virus features and encode the virus sequence into virus feature vector. Second, we use hierarchical clustering to continuously identify new coronavirus groups. Third, ILKD employ a combined strategy of incremental learning and knowledge distillation to transform the Back Propagation (BP) neural network to continuously learn and predict the phenotypes of human-to-human coronavirus infection. Experimental results show that ILKD can effectively alleviate the learning forgetting phenomenon. Further analysis reveals ILKD has better performance than other incremental learning models, and has important public health application value.
RAF-Unet: A Remote Sensing Identification Method for Forest Land Information with Modified Unet
Authors: Wang Zhiyuan , Chen Lingyan , Shen Wanling , Xiao Jiawen , Xu Zhanghua , Liu Jinfu 
Published: October 2024

Abstract
Carrying out remote sensing refinement identification of forest land in complex environment is of great significance for timely mapping of forest distribution. Aiming at the problem that remote sensing images have bias in the extraction of forest land information data, based on the semantic segmentation algorithm Unet, combining the ResNet50 deep learning network, the attention mechanism module and the feature pyramid structure, we construct RAF-Unet (ResNet+Attention+FPN+Unet) to improve the extraction of forest land information data. The ResNet50 classification network is used as the encoder of the Unet network to extract the feature maps at five different scales; then, the attention mechanism module is introduced in the decoder stage of the Unet network to extract the key task goal information by learning the weight values of the features; finally, the feature pyramid structure is used in the output stage of the encoder to fuse the information from the shallow network and the deep network to extract the remote sensing forest land information in the image. The results show that the RAF-Unet algorithm outperforms the Unet algorithm in all the indexes, with a precision of 95.24%, a recall of 91.80%, an F1-score value of 93.49%, an intersection over union of 87.63%, and an accuracy of 93.68%; the validity of the modules is verified by the ablation experiments, and the ResNet network, the attention mechanism, and the feature pyramid structure are all effective in improve the classification effect. It helps the forestry department to better manage and dynamically monitor forestry information, which is of great significance to the scientific development, utilization and protection of forest land resources.
Event Based Control for Network Security Systems Subject to Actuator Saturation
Authors: Zhang Gengyuan 
Published: October 2024

Abstract
As a typical nonlinear link, actuator saturation exists in most network security protection systems. It easily disrupts the closed-loop performance of the system, leading to instability. The event triggering control policy generally adopts an aperiodic sampling mechanism and transmits information only when the triggering condition is met, which can save system communication and computing resources. An event-triggered controller is designed for a network security system with actuator saturation, and the system stabilization is realized. The attractor domain of the system is estimated by solving optimization problems in the form of linear matrix inequalities. Simulation results show the validity of the conclusions obtained in this paper.
Design and Implementation of a Ka-Band Frequency Source Based on DS+DDS Hybrid Method
Authors: Qian Pei , Ye Balin 
Published: October 2024

Abstract
This article proposes a design scheme for a broadband agile frequency conversion Ka-band frequency source, which adopts a mixed frequency synthesis method of DS+DDS. This method combines the advantages of DDS such as fast frequency switching speed, small frequency step, and wide DS frequency bandwidth, and uses segmented filtering to effectively suppress the disadvantage of DDS spurious error. DS adopts an up conversion and double frequency doubling scheme to broaden the frequency band, with simple design and low cost. The deterioration of phase noise is offset by selecting a low phase noise PLL. Actual measurement shows that the output bandwidth of the frequency source is 8GHz, with spurious suppression ≤ −61dBc, frequency switching time ≤ 140ns, output power ≥ 15dBm, step frequency of 1MHz, and phase noise ≤ −100dBc/Hz@1kHz, meet the design requirements.
Thermal conductivity of insulating materials using a peltier cell based cooling system
Authors: Guzman A , Garcia F , Puma A , Gomez-Leon M , Palo-Tejada E 
Published: October 2024

Abstract
In this work we have built and evaluated a system that allows us to determine the thermal conductivity of insulating materials. We use this system to study the thermal properties of suitable for building materials, typical of high altitude Andean regions.
The equipment’s setup is of a Guarded Hot Plate Apparatus (GHPA), the equipment’s central part has a circular hot plate and a concentric crown shaped disc (guard), which are not in contact each other. Two circular samples are placed on both sides of the hot plate and then the square cold plates are mounted at the lower and upper sides of the samples.
The cold plates are refrigerated by mean of liquid which flows through an spiral coil embedded in it. The liquid is cooled by Peltier cells whose hot sides are in contact with air radiators. The temperature’s gradient is measured between the hot plate and the guard with a Type E thermocouple and to measure the temperature of the cold plates Type K thermocouples are used. To show the equipment’s performance, some thermal conductivity tests were carried out on the following materials: sugar cane bagasse, adobe with Stipa ichu, ashlar and glass.
Structural and functional model of formation of STEM-competencies of students of professional higher education institutions in mathematics teaching
Authors: Pylypenko O S , Kramarenko T H 
Published: October 2024

Abstract
This study focuses on the vocational preparation of learners in professional pre-higher educational establishments. The primary objective is to provide a theoretical foundation for, construct, and empirically evaluate the efficacy of a structural-functional paradigm for cultivating STEM proficiencies among students in these institutions through mathematics instruction. The pedagogical experiment corroborated the research postulate that attaining advanced STEM competencies in mathematics among professional pre-higher education students can be facilitated through a learning model that incorporates specific pedagogical conditions: motivating and stimulating students to engage in educational, cognitive and research activities in mathematics through engagement in cooperation and the use of individual and group coaching; implementation of STEM projects in mathematics teaching; usage of ICT to ensure visibility and research orientation of mathematics teaching. The experimental outcomes and accompanying educational resources have enabled a comprehensive analysis of the challenges associated with implementing STEM methodologies in mathematics instruction. This article aims to elucidate the key attributes of the devised structural-functional model and evaluate its implementation efficacy, with particular emphasis on the application of the authors’ developed pedagogical support materials.
The use of visualization technologies in the study of the probability of life on exoplanets
Authors: Malchenko S L , Mykoliuk D V , Salivon S O 
Published: October 2024

Abstract
The modern generation receives a significant amount of information from various sources daily. The information received should be perceived and analyzed, and conclusions drawn. Young people prefer visual technologies that allow them to obtain and analyse dynamic details quickly. The educational process should not lag; on the contrary, it should prepare a thinking, creative person who can easily use modern digital technologies. This paper discusses the use of the Universal Sandbox 2 universe simulator in the study of astronomy, namely the search for exoplanets and the study of the conditions necessary for the existence of life on them.
The transformation of children’s mental representations of 5-6 year olds for coagulation: precursor models through a storytelling approach
Authors: Kaliampos G , Ioannou M , Pantidos P , Ravanis K 
Published: October 2024

Abstract
The current study presents the results of a qualitative research on the mental representations of children aged 5-6 years regarding the coagulation of everyday materials. Initially, children’s representations on coagulation of butter and chocolate were studied in a pre-test through three different tasks. Subsequently, a teaching intervention was implemented based on a storytelling approach, which is embedded in a socio-constructivist perspective with the aim of establishing a precursor model in children’s thinking about coagulation. Finally, in a post-test, children’s representations after the teaching intervention were studied. The results of the research showed that children have made significant progress in the post-test as the majority of them recognize cooling as a factor in the coagulation of the above materials.
The use of computer modeling in the educational process based on the example of studying Coulomb’s law
Authors: Velychko V Ye , Kaidan V P , Kaidan N V , Fedorenko O G 
Published: October 2024

Abstract
The study analyzes computer modeling tools intended for use in educational and scientific contexts. The concept of modeling as a method of research and a teaching tool is examined, the emphasis is placed on computer modeling. It is shown how physical laws, particularly Coulomb’s law, can be studied through modeling. The study uses pre-made simulators, spreadsheets, mathematical packages, as well as our own software in Object Pascal and Python. Experimental testing has confirmed the effectiveness of computer modeling in teaching natural sciences. A survey of students and teachers showed interest in further use of simulation tools in the educational process.
Ontological analysis of business process modeling of higher education institutions based on the electronic document management system
Authors: Shpakov A V , Gorda O V , Honcharenko Y O 
Published: October 2024

Abstract
Improving the quality of the educational process, bringing it to modern requirements is a complex task, the solution of which requires a systematic approach from higher education institutions and the development of a strategy to improve the quality of service and efficiency of the institution. Formalization and modeling of the management business process allows for effective management decisions. When analyzing large amounts of information to effectively solve the problem of data structuring, as well as the problem of forming new knowledge, it is proposed to use an ontological approach based on the use of associative rules. The ontological analysis of modeling business processes of higher education institutions and analysis of the structure, functions and information flows of organization and management of educational activities based on the structural approach is carried out. Improving the quality of the educational process, bringing it to modern requirements is a complex task, the solution of which requires a systematic approach from higher education institutions and the development of a strategy to improve the quality of service and efficiency of the institution. The use of an ontological model of interaction between subjects and objects of the system makes it possible to assess the level of system efficiency and build a simulation model of management, which will allow predicting the emergence of critical business processes that may lead to a decrease in the efficiency of decision-making and disruptions in the functioning of higher education institutions and their departments.
Experience of conducting integrated irregular classes in robotics
Authors: Valko N V , Kushnir N O 
Published: October 2024

Abstract
In the modern world of electronic devices, a person can bring to life any projects that make their life more comfortable and safe. The basis for such solutions is robotics. Creating and programming a robot today is quite simple. We offer the experience of conducting long-term projects that can take place in summer camps, scientific studios, and extracurricular clubs. The uniqueness of such activities lies in the combination of various types of work that help explore the topic and conduct scientific and technological research. Mastering robotics technology and understanding the principles of their operation is an important aspect of preparing modern children for a safe life in a high-tech world and successful self-realization. The foundation for the study and effective application of these technologies is mathematics, physics, engineering, and programming. Therefore, STEM education, aimed at developing competencies demanded in society, increasing motivation to study traditionally challenging subjects of the natural-mathematical cycle, is of particular importance. The peculiarity of this approach to education is project activity and transdisciplinarity, contributing to the formation of teamwork skills, critical thinking, and a comprehensive understanding of the researched problem. The article presents the experience of a volunteer project to teach robotics to children from Ukraine. Organizational conditions for conducting classes, typical difficulties, examples of projects, and the lesson scenario are provided. The proposed approach to organizing education is based on years of practical experience and can be used by educational institutions and non-profit organizations.
Virtual laboratories for study technologies of environmental protection
Authors: Levytska T O , Ye Piatykop O , Khliestova O A , Bilenko A P 
Published: October 2024

Abstract
This work is devoted to the use of virtual work for teaching bachelors in technologies of environmental protection. An analysis of publications in the field of using virtual laboratories in universities was carried out. The use of virtual laboratory work supports modern approaches to education, stimulates the learning process and creates conditions for more effective mastery of the material. The article describes an example of the development of laboratory work to determine the parameters of the dispersed composition of dust. Virtual laboratory work is developed as a web application, has a user-friendly interface, all data is saved into a database. Students can work at their own pace, repeat experiments, and adapt their approach to learning. The presented virtual laboratory is relevant to use in distance learning.
The formation of visual thinking of students in technical universities in the context of higher mathematics education
Authors: Klochko V I , Bondarenko Z V , Kyrylashchuk S A , Prozor O P , Kyrylashchuk T H 
Published: October 2024

Abstract
The visualisation of teaching higher mathematics as a development of information and communication technologies determines the transition of the educational process to a new level of its development. As a result, it should focus on the visual orientation and modern practice of its use. The question arises as to the formation of students’ visual thinking as a necessary component of the training of a modern specialist. In this context, a study has been conducted on the problem of using visual information and its visual perception in teaching higher mathematics on the example of individual sections, as well as techniques of justification based on visual information. The examples offered in the article form the skills of working with graphic information. Developing visual thinking, they fix attention during the learning process, implicitly and indirectly contributing to the conversion of mental content into a visual image, ensuring the formation of a more complete picture of an image or concept. The article analyses the results of using visualisation in the educational process of students of technical universities. The influence of visualisation on the level of students’ knowledge is analysed. In particular, the ability of a certain contingent of students to perceive and use visual images, their ability to think and express thoughts in images, perceive the content of logic, emotions contained in visual information, as well as the ability to operate with visual images in communication, establish cause and effect relationships and relations between concepts, as well as memorise and reproduce ideas about objects is noted.