Digital Readiness Of Container Terminals For Digital Technology Adoption: A Case Study Of Vietnam,
2022
World Maritime University
Digital Readiness Of Container Terminals For Digital Technology Adoption: A Case Study Of Vietnam, Anh Tuấn Vu
World Maritime University Dissertations
No abstract provided.
Comparative Analysis Of Cloud-Based Server And Conventional Server Of Simulators For Marine Engineering,
2022
World Maritime University
Comparative Analysis Of Cloud-Based Server And Conventional Server Of Simulators For Marine Engineering, Jose Maria Razon Nalus
World Maritime University Dissertations
No abstract provided.
The Impact Of The Digital Maturity Level On Port Operations In Africa,
2022
World Maritime University
The Impact Of The Digital Maturity Level On Port Operations In Africa, Joyce Wanjiru Kaburu
World Maritime University Dissertations
No abstract provided.
The Determination Of Port Automation Levels Using An Analytic Hierarchical Process : A Case Study For The Port Of Colombo,
2022
World Maritime University
The Determination Of Port Automation Levels Using An Analytic Hierarchical Process : A Case Study For The Port Of Colombo, Waruna Lasantha De Silva Amarathunga
World Maritime University Dissertations
No abstract provided.
Research On The Early Warning And Intervention Of Learning Crisis Based On Smart Classroom,
2022
College of Information Engineering, Hunan Industry Polytechnic Changsha 410208 China
Research On The Early Warning And Intervention Of Learning Crisis Based On Smart Classroom, Tan Aiping, Wang Sainan
International Journal of Computer and Communication Technology
Under the normal state of online and offline integrated learning of open courses, the low participation of learners and low learning results are hot issues that scholars in the industry pay more attention to. Accurate learning crisis warning and personalized teaching intervention are important measures to solve the above problems and improve teaching quality. Based on the analysis of the shortcomings of the existing learning early warning and teaching intervention, this study constructs a research framework of online open course learning early warning and intervention under the intelligent classroom learning environment. The framework diagnoses and warns learners' learning state from …
Design Of An Efficient Memristor-Based Dynamic Exclusive-Or Gate.,
2022
Electronics andCommunication Engineering BharatiVidyapeeth’sCollegeof Engineering NewDelhi,India
Design Of An Efficient Memristor-Based Dynamic Exclusive-Or Gate., Annu Chauhan, Dishika Chopra, Lirisha Tayal, Utsav Singal, Kirti Gupta, Monica Gupta
International Journal of Computer and Communication Technology
In this paper, an efficient memristor-based dynamic logic design for an Exclusive-OR gate is proposed. The proposed realization reduces the number of cascaded stages and component count thereby providing an overall performance improvement. The performance of the proposed design is compared with the most recent existing design through LTspice software simulations at 32 nm technology node in terms of total power consumption, average propagation delay, and number of components used in the implementation. The outcomes depict that the proposed design consumes 57 % reduced power and provides faster operation with 5.09 % improvement in propagation delay in comparison to its …
Towards Qos-Based Embedded Machine Learning,
2022
Chapman University
Towards Qos-Based Embedded Machine Learning, Tom Springer, Erik Linstead, Peiyi Zhao, Chelsea Parlett-Pelleriti
Engineering Faculty Articles and Research
Due to various breakthroughs and advancements in machine learning and computer architectures, machine learning models are beginning to proliferate through embedded platforms. Some of these machine learning models cover a range of applications including computer vision, speech recognition, healthcare efficiency, industrial IoT, robotics and many more. However, there is a critical limitation in implementing ML algorithms efficiently on embedded platforms: the computational and memory expense of many machine learning models can make them unsuitable in resource-constrained environments. Therefore, to efficiently implement these memory-intensive and computationally expensive algorithms in an embedded computing environment, innovative resource management techniques are required at the …
Height Information Aided 3d Real-Time Large-Scale Underground User Positioning,
2022
Embry-Riddle Aeronautical University
Height Information Aided 3d Real-Time Large-Scale Underground User Positioning, Houbing Song, Chengkai Tang, Cunle Zhang, Lingling Zhang, Yi Zhang
Publications
Due to the cost of inertial navigation and visual navigation equipment and lake of satellite navigation signals, they cannot be used in large‐scale underground mining environment. To solve this problem, this study proposes large‐scale underground 3D real‐time positioning method with seam height assistance. This method uses the ultrawide band positioning base station as the core and is combined with seam height information to build a factor graph confidence transfer model to realise3D positioning. The simulation results show that the proposed real‐time method is superior to the existing algorithms in positioning accuracy and can meet the needs of large‐scale underground users.
Evaluation Of Classroom Gamification In Higher Education,
2022
Karmaveer Bhurao Patil College Of Engineering Satara
Evaluation Of Classroom Gamification In Higher Education, Dipali Ghatge, Dayanand Ghatge, Rajeswari Kannan Dr., Amir Shaikh, Varsha Naik
Graduate Research in Engineering and Technology (GRET)
Using games for teaching-Learning include features that engage the learners. Gamified instruction builds learning for the better in many ways. First, it empowers students to be responsible for their learning. Well-designed games are particularly effective at keeping reluctant learners engaged because they keep the learner close to but not over their capacity threshold. Second, gamified methods help students maintain a skillful mindset when encountering new obstacles. Moreover finally, gamified instructional techniques build on the ways games boost a player to survive in the face of challenges to help students better overcome hurdles in their learning environment. Engagement of the students …
Editorial,
2022
Associate Professor, Department of Computer Engineering, MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune 411052
Editorial, Chhaya S. Gosavi Dr., Anand Bewoor Dr., Mahendra Prabhakar Deore Dr.
Graduate Research in Engineering and Technology (GRET)
This special edition is devoted to Pedagogies for Higher Education, which has become an important research area in this decade. Higher education faces many challenges like engaging reluctant students, implementing active learning pedagogies effectively for diverse and large classes etc. This issue tried to incorporate various solutions and case studies to cater above mentioned challenges in higher education.
Artificial Justice: The Quandary Of Ai In The Courtroom,
2022
Duke Law
Artificial Justice: The Quandary Of Ai In The Courtroom, Paul W. Grimm, Maura R. Grossman, Sabine Gless, Mireille Hildebrandt
Judicature International
No abstract provided.
Using Design Science Research To Create A Virtual Environment For Nursing Students,
2022
University of the Free State
Using Design Science Research To Create A Virtual Environment For Nursing Students, Benjamin Botha, Lizette De Wet
African Conference on Information Systems and Technology
This paper aims to provide insight into the design science research approach followed during a transdisciplinary research study between computer scientists and professional nurses. The researchers used a design science research approach to create a virtual environment where nursing students could practice managing a patient with a foreign object in the right lung. The virtual environment underwent multiple changes as it progressed through the different cycles of design science research. Within these cycles, namely the relevance, design, and rigor cycle, various iterations of each of the cycles took place. Presented in this paper the design science approach followed will be …
Evaluating Serverless Computing,
2022
Louisiana State University and Agricultural and Mechanical College
Evaluating Serverless Computing, Charitra Maharjan
LSU Master's Theses
Function as a Service (FaaS) is gaining admiration because of its way of deploying the computations to serverless backends in the different clouds. It transfers the complexity of provisioning and allocating the necessary resources for an application to the cloud providers. The cloud providers also give an illusion of always availability of resources to the users. Among the cloud providers, AWS serverless platform offers a new paradigm for developing cloud applications without worrying about the underlying hardware infrastructure. It manages not only the resource provisioning and scaling of an application but also provides an opportunity to reimagine the cloud infrastructure …
Parallel Algorithms For Scalable Graph Mining: Applications On Big Data And Machine Learning,
2022
University of New Orleans
Parallel Algorithms For Scalable Graph Mining: Applications On Big Data And Machine Learning, Naw Safrin Sattar
University of New Orleans Theses and Dissertations
Parallel computing plays a crucial role in processing large-scale graph data. Complex network analysis is an exciting area of research for many applications in different scientific domains e.g., sociology, biology, online media, recommendation systems and many more. Graph mining is an area of interest with diverse problems from different domains of our daily life. Due to the advancement of data and computing technologies, graph data is growing at an enormous rate, for example, the number of links in social networks is growing every millisecond. Machine/Deep learning plays a significant role for technological accomplishments to work with big data in modern …
Computer Aided Diagnosis System For Breast Cancer Using Deep Learning.,
2022
University of Louisville
Computer Aided Diagnosis System For Breast Cancer Using Deep Learning., Asma Baccouche
Electronic Theses and Dissertations
The recent rise of big data technology surrounding the electronic systems and developed toolkits gave birth to new promises for Artificial Intelligence (AI). With the continuous use of data-centric systems and machines in our lives, such as social media, surveys, emails, reports, etc., there is no doubt that data has gained the center of attention by scientists and motivated them to provide more decision-making and operational support systems across multiple domains. With the recent breakthroughs in artificial intelligence, the use of machine learning and deep learning models have achieved remarkable advances in computer vision, ecommerce, cybersecurity, and healthcare. Particularly, numerous …
A Memory-Centric Customizable Domain-Specific Fpga Overlay For Accelerating Machine Learning Applications,
2022
University of Arkansas, Fayetteville
A Memory-Centric Customizable Domain-Specific Fpga Overlay For Accelerating Machine Learning Applications, Atiyehsadat Panahi
Graduate Theses and Dissertations
Low latency inferencing is of paramount importance to a wide range of real time and userfacing Machine Learning (ML) applications. Field Programmable Gate Arrays (FPGAs) offer unique advantages in delivering low latency as well as energy efficient accelertors for low latency inferencing. Unfortunately, creating machine learning accelerators in FPGAs is not easy, requiring the use of vendor specific CAD tools and low level digital and hardware microarchitecture design knowledge that the majority of ML researchers do not possess. The continued refinement of High Level Synthesis (HLS) tools can reduce but not eliminate the need for hardware-specific design knowledge. The designs …
The Message Design Of Raiders Of The Lost Ark On The Atari 2600 & A Fan’S Map, Quick Start, And Strategy Guide,
2022
Old Dominion University
The Message Design Of Raiders Of The Lost Ark On The Atari 2600 & A Fan’S Map, Quick Start, And Strategy Guide, Miguel Ramlatchan, William I. Ramlatchan
Distance Learning Faculty & Staff Books
The message design and human performance technology in video games, especially early video games have always been fascinating to me. From an instructional design perspective, the capabilities of the technology of the classic game consoles required a careful balance of achievable objectives, cognitive task analysis, guided problem solving, and message design. Raiders on the Atari is an excellent example of this balance. It is an epic adventure game, spanning 13+ distinct areas, with an inventory of items, where those hard to find items had to be used by the player to solve problems during their quest (and who would have …
Credit Card Fraud Detection Using Machine Learning Techniques,
2022
BIS Helwan University
Credit Card Fraud Detection Using Machine Learning Techniques, Nermin Samy Elhusseny, Shimaa Mohamed Ouf, Amira M. Idrees Ami
Future Computing and Informatics Journal
This is a systematic literature review to reflect the previous studies that dealt with credit card fraud detection and highlight the different machine learning techniques to deal with this problem. Credit cards are now widely utilized daily. The globe has just begun to shift toward financial inclusion, with marginalized people being introduced to the financial sector. As a result of the high volume of e-commerce, there has been a significant increase in credit card fraud. One of the most important parts of today's banking sector is fraud detection. Fraud is one of the most serious concerns in terms of monetary …
Developing A Miniature Smart Boat For Marine Research,
2022
California Polytechnic State University, San Luis Obispo
Developing A Miniature Smart Boat For Marine Research, Michael Isaac Eirinberg
Computer Engineering
This project examines the development of a smart boat which could serve as a possible marine research apparatus. The smart boat consists of a miniature vessel containing a low-cost microcontroller to live stream a camera feed, GPS telemetry, and compass data through its own WiFi access point. The smart boat also has the potential for autonomous navigation. My project captivated the interest of several members of California Polytechnic State University, San Luis Obispo’s (Cal Poly SLO) Marine Science Department faculty, who proposed a variety of fascinating and valuable smart boat applications.
Specialized Named Entity Recognition For Breast Cancer Subtyping,
2022
California Polytechnic State University, San Luis Obispo
Specialized Named Entity Recognition For Breast Cancer Subtyping, Griffith Scheyer Hawblitzel
Master's Theses
The amount of data and analysis being published and archived in the biomedical research community is more than can feasibly be sifted through manually, which limits the information an individual or small group can synthesize and integrate into their own research. This presents an opportunity for using automated methods, including Natural Language Processing (NLP), to extract important information from text on various topics. Named Entity Recognition (NER), is one way to automate knowledge extraction of raw text. NER is defined as the task of identifying named entities from text using labels such as people, dates, locations, diseases, and proteins. There …
