International Journal of Maritime Engineering最新文献_第2页

Characterizations and Energy Analysis of Hydroxyl Group Functionalized Graphene (Nanomaterial) Mixed with Paraffin Wax (Polymer Pcm) as Thermal Energy Storage Materials And Applications 羟基官能化石墨烯（纳米材料）与石蜡（聚合物 Pcm）混合作为热能存储材料的特性和能量分析及其应用

IF 0.7 4区工程技术

International Journal of Maritime Engineering Pub Date : 2024-07-27 DOI: 10.5750/ijme.v1i1.1376

Sumit Nagar, S Sreenivasa, Gaurav Kumar, Gopal Krishan Gard

引用次数: 0

Modeling and Implementation of PID Controller in Vehicle Ride Comfort Improvement Using Bond Graph 利用邦德图对改善车辆行驶舒适性的 PID 控制器进行建模和实施

IF 0.7 4区工程技术

International Journal of Maritime Engineering Pub Date : 2024-07-27 DOI: 10.5750/ijme.v1i1.1361

Lalit Batra, Sanjay Kumar, Saurabh Kumar Agrawal

引用次数: 0

Novel Advancements in the Field of Nanostructured Materials: Zero-, One-, Two- and Three-Dimensional Materials 纳米结构材料领域的新进展：零维、一维、二维和三维材料

IF 0.7 4区工程技术

International Journal of Maritime Engineering Pub Date : 2024-07-27 DOI: 10.5750/ijme.v1i1.1352

Amit Kumar, JMA Sulaiman, Pranav Kumar, Sohini Chowdhury, S. Sreenivasa

引用次数: 0

Assessment and Enhancement of Chinese College Students’ Cross- Cultural Learning Competence Based on BP Neural Network Algorithm 基于BP神经网络算法的中国大学生跨文化学习能力评估与提升

IF 0.7 4区工程技术

International Journal of Maritime Engineering Pub Date : 2024-07-27 DOI: 10.5750/ijme.v1i1.1370

Yang Jiao

{"title":"Assessment and Enhancement of Chinese College Students’ Cross- Cultural Learning Competence Based on BP Neural Network Algorithm","authors":"Yang Jiao","doi":"10.5750/ijme.v1i1.1370","DOIUrl":"https://doi.org/10.5750/ijme.v1i1.1370","url":null,"abstract":"Cross-cultural learning competence, a critical skill in our globally interconnected world, is advanced through the application of the Backpropagation (BP) neural network algorithm. This innovative approach involves leveraging neural network techniques to model and enhance individuals' abilities to navigate and understand diverse cultural contexts. The BP neural network algorithm facilitates personalized learning experiences by adapting to individuals' cultural backgrounds and preferences. This research explores a comprehensive approach for assessing and enhancing cross-cultural learning competence among Chinese college students, integrating the Word Embedding Multilingual Model with the Back Propagation Neural Network (WEMM-BPNN) algorithm. Recognizing the importance of global competencies in higher education, our study focuses on leveraging advanced neural network techniques to evaluate and elevate students' cross-cultural learning abilities. The WEMM-BPNN model combines the power of word embedding and multilingual considerations, tailoring the learning experience to individual cultural backgrounds. Through a meticulous analysis of cross-cultural data and linguistic patterns, the algorithm refines its recommendations for personalized learning strategies. The research aims not only to assess the current state of cross-cultural learning competence but also to provide targeted interventions to enhance students' intercultural understanding and adaptability. By merging linguistic models with neural network algorithms, this study offers a pioneering approach to cultivating cross-cultural competencies, contributing valuable insights to the ongoing discourse on globalized education.","PeriodicalId":50313,"journal":{"name":"International Journal of Maritime Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noise Aware Fully Integrated Low Power and Low Inrush Current Fast Transient Response LDO 噪声感知全集成式低功耗、低浪涌电流、快速瞬态响应 LDO

IF 0.7 4区工程技术

International Journal of Maritime Engineering Pub Date : 2024-07-27 DOI: 10.5750/ijme.v1i1.1336

Y Avanija, K. Suresh Reddy

{"title":"Noise Aware Fully Integrated Low Power and Low Inrush Current Fast Transient Response LDO","authors":"Y Avanija, K. Suresh Reddy","doi":"10.5750/ijme.v1i1.1336","DOIUrl":"https://doi.org/10.5750/ijme.v1i1.1336","url":null,"abstract":"The complexity of Systems-on-Chip (SoC) designs necessitates robust linear regulator architectures to ensure stable operations and efficient power management in modern devices. In response to this demand, low-dropout (LDO) voltage regulators have emerged as a focal point for their scalability and superior performance across diverse application domains. This paper proposes an LDO linear regulator characterized by high power supply rejection ratio (PSR) and rapid transient response. The design of this LDO emphasizes low power consumption and minimal inrush current while incorporating advanced techniques to enhance PSR and stability across varying frequencies. Despite its compact footprint and low-power profile, this LDO achieves remarkable PSR across a broad spectrum of frequencies. To achieve swift transient response, the proposed design integrates variable biasing and transient boost capacitance. The variable bias structure enhances the slew rate and PSR of the LDO, contributing to its overall performance optimization. Additionally, the strategic placement and utilization of transient-boost capacitance leverage its voltage characteristics to bolster transient response without introducing additional quiescent current, thereby further enhancing circuit stability.","PeriodicalId":50313,"journal":{"name":"International Journal of Maritime Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of Soccer Teaching Ability Based on Deep Learning Algorithm 基于深度学习算法的足球教学能力评估

IF 0.7 4区工程技术

International Journal of Maritime Engineering Pub Date : 2024-07-27 DOI: 10.5750/ijme.v1i1.1401

FL Yu

{"title":"Assessment of Soccer Teaching Ability Based on Deep Learning Algorithm","authors":"FL Yu","doi":"10.5750/ijme.v1i1.1401","DOIUrl":"https://doi.org/10.5750/ijme.v1i1.1401","url":null,"abstract":"Soccer teaching involves imparting fundamental skills, tactics, and strategies related to the sport of soccer. Coaches and instructors focus on teaching players proper techniques for dribbling, passing, shooting, and defending, while also emphasizing teamwork, sportsmanship, and game awareness. Soccer teaching sessions typically include a combination of drills, scrimmages, and tactical discussions tailored to the age and skill level of the players. This paper proposed an effective soccer assessment technique for teaching ability with the Automated Probabilistic Deep Learning (APDL) model. The proposed APDL model comprises an automated model for the assessment of student performance. The proposed APDL model processes the input soccer images with the pre-processing of the features. With APDL model uses the probabilistic computation features for the computation of the variables in the soccer data. With the extraction of the features, the maximum likelihood is computed for the classification with the deep learning model features. The APDL model implements the classification-based deep learning model features with the examination of soccer teaching, instruction, development of skill, and players. Simulation results demonstrated that prediction with the APDL model estimates the probability of prediction as 0.91 with an estimated uncertainty value of 0.08. In the case of teaching and coaching assessment, the uncertainty is stated as 0.08 for both with the prediction assessment score of 0.92. The classification accuracy of the proposed APDL model is achieved as 0.95 with the precision value of 0.97. The findings of this research contribute to the advancement of coaching methodologies in soccer, providing coaches and educators with valuable insights into their teaching effectiveness and areas for improvement. Additionally, the automated nature of the APDL model offers scalability and efficiency in assessing coaching performance, paving the way for enhanced coaching practices and player development in soccer.","PeriodicalId":50313,"journal":{"name":"International Journal of Maritime Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141797634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physical Fitness Test Data Analysis and Training Program Recommendation Based on Machine Learning 基于机器学习的体能测试数据分析与训练计划推荐

IF 0.7 4区工程技术

International Journal of Maritime Engineering Pub Date : 2024-07-27 DOI: 10.5750/ijme.v1i1.1347

Tingting Zhao

{"title":"Physical Fitness Test Data Analysis and Training Program Recommendation Based on Machine Learning","authors":"Tingting Zhao","doi":"10.5750/ijme.v1i1.1347","DOIUrl":"https://doi.org/10.5750/ijme.v1i1.1347","url":null,"abstract":"Physical fitness is the state of being physically healthy and capable of performing daily tasks with vigor and resilience. Physical fitness and machine learning intersect in various ways, primarily through the use of wearable devices, fitness apps, and data analysis. Wearable fitness trackers equipped with sensors, such as heart rate monitors, accelerometers, and GPS trackers, collect vast amounts of data on individuals' physical activity, sleep patterns, and vital signs. The paper presents an innovative approach to physical fitness assessment and training program recommendation using the Gradient Probabilistic Automated Recommender System with Machine Learning (GPA-RS-ML). This system utilizes machine learning techniques to assess fitness data from individuals and then suggests training programs that are customized to their specific goals and needs. By incorporating gradient values and probabilistic predictions, the GPA-RS-ML algorithm offers a comprehensive and individualized approach to fitness training, enhancing the efficiency and effectiveness of training interventions. The study demonstrates the efficacy of the GPA-RS-ML system in accurately predicting suitable training programs for participants, considering their unique fitness profiles and preferences. This research contributes to the advancement of automated fitness assessment and recommendation systems, providing a valuable tool for fitness professionals and enthusiasts to optimize fitness outcomes and improve adherence to training regimens.","PeriodicalId":50313,"journal":{"name":"International Journal of Maritime Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synergistic Effects of Heated Walnut Shell Powder and Reduced Graphene Oxide in Paraffin Wax Composites for Marine Thermal Applications 石蜡复合材料中加热核桃壳粉和还原石墨烯氧化物在海洋热应用中的协同效应

IF 0.7 4区工程技术

International Journal of Maritime Engineering Pub Date : 2024-07-27 DOI: 10.5750/ijme.v1i1.1359

Aman Sharma, Pradeep Kumar Singh, Kamal Sharma

{"title":"Synergistic Effects of Heated Walnut Shell Powder and Reduced Graphene Oxide in Paraffin Wax Composites for Marine Thermal Applications","authors":"Aman Sharma, Pradeep Kumar Singh, Kamal Sharma","doi":"10.5750/ijme.v1i1.1359","DOIUrl":"https://doi.org/10.5750/ijme.v1i1.1359","url":null,"abstract":"The study focuses on creating and analyzing paraffin wax composites enriched with heated walnut shell powder and reduced graphene oxide nanoparticles. Experimental procedures include careful blending of materials to form homogeneous mixtures, followed by analysis using techniques such as thermal gravimetric analysis (TGA), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR), and differential scanning calorimetry (DSC). The composites show improved thermal properties compared to pure paraffin wax, with increased melting temperatures, heat of fusion, and thermal conductivity. The study also examines density and thermal diffusivity, providing insights into thermal behavior. Additionally, it ensures the corrosion resistance of nano-enhanced bio-based phase change materials (PCMs) for marine engineering through thorough material selection, corrosion testing, and long-term exposure studies simulating seawater conditions. The study evaluates environmental impacts, toxicity, and compliance with standards and proposes mitigation strategies like protective coatings and encapsulation techniques. Overall, the research contributes to developing environmentally sustainable PCM materials for marine applications and offers insights into their thermal behavior for thermal energy storage and management.","PeriodicalId":50313,"journal":{"name":"International Journal of Maritime Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Immersive VR Tourism Analysis Model Based on Fuzzy Logic Algorithm 基于模糊逻辑算法的沉浸式 VR 旅游分析模型设计

IF 0.7 4区工程技术

International Journal of Maritime Engineering Pub Date : 2024-07-27 DOI: 10.5750/ijme.v1i1.1379

Hongru He

{"title":"Design of Immersive VR Tourism Analysis Model Based on Fuzzy Logic Algorithm","authors":"Hongru He","doi":"10.5750/ijme.v1i1.1379","DOIUrl":"https://doi.org/10.5750/ijme.v1i1.1379","url":null,"abstract":"Immersive virtual reality (VR) is a technology that transports users into fully immersive digital environments, often through the use of specialized headsets and sensory equipment. A three-dimensional environment, immersive VR offers users an unparalleled sense of presence and interaction, enabling them to explore and interact with virtual worlds as if they were physically present. This paper develops an effective immersive Virtual Reality (VR) model for tourism. The proposed model uses the fuzzy-based logic rules for tourism in VR for the classification with the Backpropagation Feedforward Neural Network (BFNN). Through the developed model efficacy of BFNN-based algorithms in accurately classifying diverse virtual environments and detecting edges with precision. The analysis of the results stated that the through BFNN model MSE and PSNR value is achieved with the value of 0.007 and 28.9 respectively. With the developed model significant classification is achieved with the BFNN model value for the exploration, cultural heritage, adventure, Urban exploration, and Relaxation. Additionally, comparative analyses demonstrate the superiority of BFNNs over alternative classification models, underscoring their effectiveness in accurately categorizing immersive tourism experiences. These findings stated that the advancement of immersive VR technology also offers practical insights for optimizing computational algorithms in immersive tourism applications. The potential of BFNNs redefine the landscape of immersive VR tourism, delivering captivating and personalized virtual experiences that elevate user engagement and satisfaction to unprecedented levels.","PeriodicalId":50313,"journal":{"name":"International Journal of Maritime Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Examine the Optical and Dry Sliding Wear Characteristics of Aluminum Metal Matrix Composites Reinforced With Ilmenite/GR/SN 研究用 Ilmenite/GR/SN 增强的铝金属基复合材料的光学和干滑动磨损特性

IF 0.7 4区工程技术

International Journal of Maritime Engineering Pub Date : 2024-07-27 DOI: 10.5750/ijme.v1i1.1360

Varun Singhal, Subhash Mishra, Komal Sharma, Sohini Chowdhury

引用次数: 0