Physical Sciences and Mathematics Commons^™

Exploring Market Segmentation For Autonomous Ferries, Ashari Fitra Rachmannullah, Taih Cherng Lirn, Kuo Chung Shang

Journal of Marine Science and Technology

This study aims to investigate the determinants that underlie psychographic segmentation in the domain of autonomous ferries (AFs) by using the theory of planned behaviour (TPB) as a guiding theoretical construct. The paper focuses on Indonesian individuals who had previously utilised conventional ferry services. TPB was applied as a catalyst to identify possible market segmentation among potential AF passengers. In this study, cluster analysis is used to differentiate passengers by their perception of using AFs. The results identified three market segments through cluster analysis based on passengers’ perceptions of using AFs: Resource-Limited, Resource-Capable, and Value-Optimistic. Among these segments, the Resource-Capable …

Fretting Corrosion Wear Of Titanium-Based Alloy (Ti-6al-4v) In 0.9 Wt.% Nacl Solution, Chen-En Lu, Wen-Ken Li, Hung-Hua Sheu, Jeou-Long Lee, Hung-Bin Lee

Journal of Marine Science and Technology

In this study, a high precision fretting tribo-corrosion tester used to analyze the wear and corrosion behavior of Ti alloys in a fretting motion condition. The tester, operated in a ball-on-plate mode, was employed in the fretting corrosion study of metallic bio-materials (Ti and Ti-6Al-4V) under different loads (0 and 10 N), electrolytes (0.9 wt% NaCl and SBF) and fixed displacement frequency (1 Hz). Using profilometer, optical microscope in the experimental analysis and three-body mechanism in the theoretical analysis, the fretting corrosion performances of these bio-medical metals, such as velocity accommodation characteristics, friction, wear, and scratch profile were examined in …

A New-Type Deep Learning Model Based On Shapley Regulation For Containerized Freight Index Prediction, Yen-Chang Shih, Ming-Shue Lin, Taih-Cherng Lirn, Jih-Gau Juang

Journal of Marine Science and Technology

In this study, we have crafted an innovative methodology that represents a groundbreaking synthesis of deep learning techniques with cooperative game theory. In this study, we use the accuracy of data prediction by different LSTM models as a measurement index and assign different LSTM models corresponding weights through the Shapley value calculation method to construct a more accurate predictive analysis model. We use this improved Shapley regulation model to calibrate a long short-term memory (LSTM) neural network by using historical freight data to predict the China Container Freight Index (CCFI), the leading export container freight index commonly used in China. …

Applicability Of Reducing Valve Timing Overlap For Diesel Engines Under High Exhaust Back Pressure, Chien-Cheng Chen, Yuan-Liang Jeng, Shun-Chang Yen

Journal of Marine Science and Technology

The exhaust back pressure of diesel engines becomes increasing higher nowadays. As an example, the De-NOx system and DE-SOx system necessitated by the increasingly stringent emission standards, would result in increased exhaust back pressure for those diesel engines adopting such systems. Some ships adopt underwater exhaust system to save space on the working deck and to reduce noise and air pollution, while the hydrostatic pressure under water level has made the exhaust back pressure of diesel engines getting much higher. Under high exhaust back pressure, to keep discharging exhaust unhindered and operating smoothly for diesel engine, it often results in …

Adaptive Prediction Horizon Energy-Saving Collision-Free Mpc Of Ships Based On Ship-Shore Cooperation, Han Xue, Enjie Yang

Journal of Marine Science and Technology

ABSTRACT:In order to perform the close association between ship maneuvering control and energy consumption through the control strategy, this paper designs an adaptive prediction horizon based energy-saving robust nonlinear model predictive control (APHERNMPC) for underactuated ships to deal with the actual control and state constraints during berthing based on ship-shore cooperation. An improved Emperor Penguin Optimizer (EPO) method is proposed for collision avoidance decision. To solve the problems of falling into local optimum and reducing the convergence speed, the traditional EPO is improved based on Sobol sequence in order to enhance the diversity and ergodicity of the population. The multi-ship …

Multimodel Approach To A Support Stock Assessment Of Standardized Catch And Effort Data: A Case Study Of Blue Shark (Prionace Glauca) In The Indian Ocean By The Taiwanese Large-Scale Longline Fishery, Chun-Yi Hung, Hoang Huy Huynh, Xing-Han Wu, Wen-Pei Tsai

Journal of Marine Science and Technology

In the context of stock assessment and fishery conservation, determining catch per unit effort (CPUE) accurately and reliably is essential. This study estimated trends in the relative abundance of blue sharks (Prionace glauca) in the Indian Ocean from 2005 to 2022. Blue sharks constitute a resilient bycatch species in pelagic tuna and swordfish longline fisheries. We employed a multimodel approach that included delta-lognormal, zero-inflated negative binomial, and vector autoregressive spatiotemporal (VAST) models to standardize catch rates recorded by observers in the Taiwanese large-scale longline fishery. Our analysis concentrated on the CPUE of blue sharks, including standardizing the number of fish …

Underwater Image Enhancement Algorithm For Dual Color Spaces, Xingsheng Shen, Yalin Song, Shichang Li, Xiaoshu Hu

Journal of Marine Science and Technology

Targeting issues related to low contrast, blurring, and loss of detail prevalent in underwater image enhancement algorithms, we propose a dual-color space multiscale residual network (DMR-SCNet) based on SCNet. First, we introduce the HSV color space feature extraction module, which aims to optimize the color representation and saturation of underwater images. Subsequently, we propose the RGB color space denoising module, which focuses on repairing the content and structure of underwater images to enhance their clarity and visual quality. Finally, by designing the residual attention (RAB) module, we aim to further refine the detailed representation and feature extraction of underwater images. …

A Novel Identity Authentication Mechanism For Unmanned Maritime Vessels Communication Based On Mitre Att&Ck Framework, Junxian He, Shih-Hao Chang

Journal of Marine Science and Technology

With the development of the smart shipping industry, unmanned vessel technology is rapidly evolving, accompanied by a demand for robust Internet of Things (IoT) communication security practices. Key communication technologies for the operation of unmanned vessels include external vessel communication. One crucial aspect is the verification of the identities of the parties involved in these communication systems, as this ensures secure and trusted interactions between unmanned vessels and port management authorities. Identity authentication plays a vital role in ensuring the secure communication of unmanned vessels.This paper aims to analyze potential risks related to identity authentication technology in unmanned vessel communication …

Corrigendum To “Applicability Of Reducing Valve Timing Overlap For Diesel Engines Under High Exhaust Back Pressure”

Journal of Marine Science and Technology

No abstract provided.

Integration Of 3d Structural Modelling And Well Logging Analysis In The Evaluation Of October Oil Field, Gulf Of Suez, Egypt, Lamiaa Yahia, Mostafa Toni, Farouk I. Metwalli, M. H. Mansour, Amir Ismail

Trends in advanced sciences and technology

An extensive study of the NUBIA and MAT reservoirs, incorporating numerous data sources, enhances the accuracy of production forecasts for hydrocarbon exploration and development. This study aims to integrate seismic and well data for re-assessment and to delineate the geological and petrophysical characteristics of the October oil field which is one of the most productive in the central Gulf of Suez, but it has recently witnessed a drop in output in some regions, and some wells have begun to depletion. While facies modeling enabled the spatial distribution of lithologic facies inside the constructed 3D structural model, which reflected two types …

Outsourcing Voting To Ai: Can Chatgpt Advise Index Funds On Proxy Voting Decisions?, Chen Wang

Fordham Journal of Corporate & Financial Law

Released in November 2022, Chat Generative Pre-training Transformer (“ChatGPT”), has risen rapidly to prominence, and its versatile capabilities have already been shown in a variety of fields. Due to ChatGPT’s advanced features, such as extensive pre-training on diverse data, strong generalization ability, fine-tuning capabilities, and improved reasoning, the use of AI in the legal industry could experience a significant transformation. Since small passive funds with low-cost business models generally lack the financial resources to make informed proxy voting decisions that align with their shareholders’ interests, this Article considers the use of ChatGPT to assist small investment funds, particularly small passive …

Cross-Language Tourism News Retrieval System Using Google Translate Api On Sebi Search Engine, H. Husni, Arif Muntasa, Sigit Susanto Putro, Zulfi Osman

Elinvo (Electronics, Informatics, and Vocational Education)

Cross-Language Information Retrieval (CLIR) is responsible for retrieving information stored in a language different from the language of the query provided by the user. Some translation methods commonly used in CLIR are Dictionary, Parallel corpora, Comparable corpora, Machine translator, Ontology, and Transitive-based. The query must be translated to the target language, followed by preprocessing and calculating the similarity between the query and all documents in the corpus. The problem is the time and accuracy of query translation. Moreover, the queries are not written as complete sentences according to certain language rules. Stemming, for example, every language has its own method. …

Comparison Of Support Vector Machine (Svm), K-Nearest Neighbor (K-Nn), And Stochastic Gradient Descent (Sgd) For Classifying Corn Leaf Disease Based On Histogram Of Oriented Gradients (Hog) Feature Extraction, Firdaus Solihin, Muhammad Syarief, Eka Mala Sari Rochman, Aeri Rachmad

Elinvo (Electronics, Informatics, and Vocational Education)

Image classification involves categorizing an image's pixels into specific classes based on their unique characteristics. It has diverse applications in everyday life. One such application is the classification of diseases on corn leaves. Corn is a widely consumed staple food in Indonesia, and healthy corn plants are crucial for meeting market demands. Currently, disease identification in corn plants relies on manual checks, which are time-consuming and less effective. This research aims to automate disease identification on corn leaves using the Support Vector Machine (SVM), K-Nearest Neighbor (K-NN) with K=2, and Stochastic Gradient Descent (SGD) algorithms. The classification process utilizes the …

A Comparison Of Opennmt Sequence Model For Indonesian Automatic Question Generation, Yuniar Indrihapsari, Handaru Jati, N. Nurkhamid, Ratna Wardani, Pradana Setialana, Muhamad Izzudin Mahali, Danang Wijaya, Dhista Dwi Nur Ardiansyah, Satya Adhiyaksa Ardy, Maria Bernadetha Charlotta Wonda Tiala, Andi Hakim Al-Khawarizmi, Widya Ardiyanto

Elinvo (Electronics, Informatics, and Vocational Education)

Evaluation of learners is a crucial aspect of the educational system. However, creating evaluation instruments is a process that demands teachers' time and energy. The researcher developed the Indonesia Automatic Question Generator in this study using an architecture modified from past studies. The primary goals of this project are (1) to construct an AQG tool utilizing the OpenNMT series and (2) to analyze and compare the model's performance. As a data source, this study employs the SQuAD 2.0 dataset and numerous sequence techniques, including BiGRU, BiLSTM, and Transformer. The researcher trained the models using OpenNMT-py and Google Collaboratory. This approach …

Classification Of Corn Seed Quality Using Residual Network With Transfer Learning Weight, Meidya Koeshardianto, Wahyudi Agustiono, Wahyudi Setiawan

Elinvo (Electronics, Informatics, and Vocational Education)

Corn is one of the main ingredients in farm animal feed. Currently, corn is preferable because widely available and cheaper in the market than others. However, it needs quality control on corn production. The company that manufactures animal feed has certain quality standards to receive corn material. On the other hand, the quality of corn produced varies greatly. Thus, quality control when receiving corn from suppliers greatly affects the quality of animal feed. The quality of feed ingredients is classified into physical properties and analytical values. Physical properties are determined so that the resulting corn can be accepted or rejected, …

Preface, Anne Greene, Martin Lipa, Bill Paulson

Level 3

No abstract provided.

Balancing Quality Assurance & Innovation In Pharma, Emma Ramnarine

Level 3

At the Pharmaceutical Regulatory Science Team (PRST) workshop on ICH Q9(R1), held at the Technological University Dublin in early June 2023, Boehringer Ingelheim US Biopharma Operations Product Management & Development Operations Head Emma Ramnarine shared her insights on balancing quality assurance and innovation in pharmaceutical manufacturing. She addressed: ● patient-centered transformation ● a watershed moment in her career ● understanding the drug shortage problem ● disruptive collaboration, and ● systems thinking

approaches. Click here for the slides accompanying Ramnarine’s remarks. She connected some of her remarks for the pharmaceutical industry to those made in the previous talk by Ed Hoffman, …

Quality Reborn, Anders Vinther

Level 3

It is time for Quality leaders to not only fulfill the traditional role of ensuring cGMP compliance within the company but also take the Quality profession to the level of business leadership like Deming did in Japan after World War II. FDA has recently stated that they have low confidence in quality management maturity of the pharmaceutical industry.

For quality leaders to also become good business leaders we must educate them in ways that are different from what we currently do. The education should be in the 6 areas

• Visibly Demonstrating Responsibility of Quality
• Risk-Informed Decision Making and Communication
• Engaging …

Leveraging Advanced Analytics In The Pharmaceutical Industry, Patrick O'Sullivan

Level 3

This article is a transcribed and lightly edited version of Patrick O’Sullivan’s oral presentation to a seminar hosted on 1 June 2023 by the Pharmaceutical Regulatory Science Team (PRST), TU Dublin, titled ICH Q9(R1): The Next Frontier – An audience with international thought leaders exploring how the effective use of knowledge can enhance QRM outcomes to benefit the patient. Patrick presented an overview of how one could leverage advanced analytics in the pharmaceutical Industry.

Risk-Based Decision-Making – Using Knowledge Of Risk Throughout The Lifecycle, Michael Schousboe

Level 3

This article is based on a presentation given at the event ICH Q9(R1): The Next Frontier hosted by TU Dublin, Grangegorman 01-June-2023

An audience with international thought leaders exploring how the effective use of knowledge can enhance QRM outcomes to benefit the patient

Valerie Mulholland On Improving Rbdm Effectiveness, Valerie Mulholland

Level 3

No abstract provided.

Achieving Warranted Acceptance Of Biotechnologies, Emily Grayek, Baruch Fischhoff

Level 3

The U.S. has faced long-standing shortages of generic drugs, causing negative health effects and spikes in drug costs. To address these shortages, investments in critical technologies and policies to support their adoption will be needed. The success of these technologies and policies depends on public acceptance. We studied public acceptance using the mental model approach, which identifies gaps in understanding that can be addressed with communications. We began with semi-structured interviews with experts in pharmaceutical manufacturing. Based on these interviews, we developed and conducted surveys of the general public, physicians, and pharmacists. Similar strategies could be applied to improve communications …

Exploring The Role Of Knowledge In The Pharma Workplace Of The Future: An Interactive Workshop Exploring Culture, Km And Opex, Stephanie Friedrichsen, Nuala Calnan (Editor), Martin J. Lipa

Level 3

This article presents a summary of an interactive workshop facilitated by Nuala Calnan and Stephanie Friedrichsen during the conference: ‘ICH Q9(R1): The Next Frontier’ held in Technological University Dublin, Ireland, on 1 June 2023. The summary was prepared by the workshop facilitators in conjunction with Martin Lipa who was a participant at the workshop. The article is written to give a high-level overview of the discussions which took place during the workshop and is not intended to be a complete representation of all the activities, insights and findings.

Regulators Are Exploring With Industry How To Strengthen Quality Risk Management Practices, With Revision Of Ich Q9 A Key Focal Point, ( Ipq )

Level 3

No abstract provided.

Agenda From June 1st Conference

Level 3

No abstract provided.

Links To Prst Past Monographs And Level 3 Special Editions

Level 3

No abstract provided.

Speaker Bios

Level 3

No abstract provided.

Ipq Descriptor

Level 3

No abstract provided.

Ipq Bibliography Pac Km Qrm 2010 - 2023

Level 3

No abstract provided.

Breaking Down Computer Networking Instructional Videos: Automatic Summarization With Video Attributes And Language Models, Totok Sukardiyono, Muhammad Irfan Luthfi, Nisa Dwi Septiyanti

Elinvo (Electronics, Informatics, and Vocational Education)

Instructional videos have become a popular tool for teaching complex topics in computer networking. However, these videos can often be lengthy and time-consuming, making it difficult for learners to obtain the key information they need. In this study, we propose an approach that leverages automatic summarization and language models to generate concise and informative summaries of instructional videos. To enhance the performance of the summarization algorithm, we also incorporate video attributes that provide contextual information about the video content. Using a dataset of computer networking tutorials, we evaluate the effectiveness of the proposed method and show that it significantly improves …