A new model is introduced for avoiding accidents where a tugboat capsizes or trips when towing a larger vessel. The development of the Tripping Avoidance Knowledge Base (TAKB) is described in terms of the relevant des...
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A new model is introduced for avoiding accidents where a tugboat capsizes or trips when towing a larger vessel. The development of the Tripping Avoidance Knowledge Base (TAKB) is described in terms of the relevant descriptive parameters, the graphical representation of the knowledge base and its conversion to a decision matrix is also shown. As with any AI application in a new and promising area, there are many unclear points which this paper highlights. The paper closes with the authors' recommendations for future development and refinement of the knowledge base.
作者:
CHICKERING, JEQUALLS, WBJohn E. Chickering:is a systems analyst with American Management Systems
Inc. in Arlington Virginia. Mr. Chickering received his BS degree in marine engineering from the U.S. Merchant Marine Academy in Kings Point New York in 1981 and his MBA degree in operations research and statistics from the University of Maryland in 1985. He is a licensed third assistant engineer of steam and motor vessels and a member of the Naval Reserve. Mr. Chickering's work includes the design and specification of several management information systems for the U.S. Navy including one that will automate the Navy's engineering drawing management system. Most recently Mr. Chickering has helped develop a workstation for the Navy's Paperless Ship Initiative. William B. Quails:is a management consultant with American Management Systems
Inc. in Arlington Virginia. Mr. Quails received his BA degree in English from the Tulane University in New Orleans Louisiana in 1977 and his MPA degree in management science from the University of Georgia in 1982. Mr. Quails participated in the design and development of the U.S. Navy's Shipboard Non-tactical ADP Program II (SNAP II). Recently Mr. Quails has participated in the design and development of several knowledge-based computer systems using artificial intelligence programming technologies. Mr. Quails is a member of Pi Alpha Alpha an honorary public affairs and administration society.
The U.S. Navy relies heavily on advanced technology to carry out its missions. As a consequence, today's sailors are spending increasing amounts of time maintaining and repairing complex systems and equipment. In ...
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The U.S. Navy relies heavily on advanced technology to carry out its missions. As a consequence, today's sailors are spending increasing amounts of time maintaining and repairing complex systems and equipment. In performing these duties, sailors depend on supporting technical documentation. As the complexity of systems and equipment grow, the volume and complexity of this technical documentation also increases. As a result, technical information, one of the Navy's critical resources, is simultaneously becoming more vital and more difficult to use. The Navy is meeting this challenge by exploring innovative approaches to the management of technical documentation. One example is the Paperless Ship Initiative, which employs optical disk technology as the primary means for document storage. Optical disks can store large volumes of technical information in a small space. One way to take advantage of this auto mated access is to make technical information more readily accessible and easier to use. As an example, a technical manual can be organized on an optical disk into discrete segments of text and indexed for fast retrieval by section, subsection, or paragraph. Furthermore, mechanisms can be developed which allow computer-supported links between logically related segments of the text. This style of interface allows a user to interact directly with the textual passages and to establish new organizational and referential links between them. This style of interface falls under the general category of hypertext (also known as linked text ). The combination of optical disk storage and hypertext offers new possibilities for improving access to large volumes of technical documentation while maintaining all of the advantages of traditional paper-based documentation. This paper begins with a discussion of the need for better technical documentation support. Alternatives that can fulfill this need are reviewed and the role of hypertext is described. The paper illustrates a sample
Due to demographical factors, there will be a 25% decline in the national labor pool of eligible 17 to 21 year old men by 1992. As the Navy faces fierce competition with other services and private industry for the dwi...
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Due to demographical factors, there will be a 25% decline in the national labor pool of eligible 17 to 21 year old men by 1992. As the Navy faces fierce competition with other services and private industry for the dwindling personnel resources of the nation, efforts must be made to consider automating certain tasks, especially those that are hazardous, boring, and labor intensive onboard ships at sea. The Surface Ship Continuing Concept Formulation (CONFORM) program (SEA-5014) sponsored the Naval Surface Weapons Center's Robotics Laboratory to identify potential applications of robotic and artificialintelligence systems to operation and mission activities for shipboard use. The results of the investigation concerning applications of robotics to automate the aforementioned tasks are presented. Changes in current manning levels for selected tasks and ship classes, i.e., CVs, CVNs, LPDs, LPNs, and auxiliaries are examined. Future ship designs incorporating robotics, such as the advance based repair (ABR) ship are discussed. Twenty-four applications were cited in the study which include a remote controlled vehicle for flight deck operations, limited tasks in biological, chemical, and radiation environments, computer aided command decision aids, ordnance handling, undersea search, recovery, and salvage, and ventilation duct cleaning. Four of the applications and their subsequent hardware fruition will be discussed.
A backtracking algorithm for AND-Parallelism and its implementation at the Abstract Machine level are presented: first, a class of AND-Parallelism models based on goal independence is defined, and a generalized versio...
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This book comprises select proceedings of the 7th International Conference on Innovative Computing which was held in Bangkok, Thailand, Jan 19-23, 2025 (IC 2025) focusing on cutting-edge research carried out in the ar...
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ISBN:
(数字)9789819680078
ISBN:
(纸本)9789819680061;9789819680092
This book comprises select proceedings of the 7th International Conference on Innovative Computing which was held in Bangkok, Thailand, Jan 19-23, 2025 (IC 2025) focusing on cutting-edge research carried out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure management, etc. The essays are written by leading international experts, making it a valuable resource for researchers and practicing engineers alike.
In clinical artificialintelligence (AI), graph representation learning, mainly through graph neural networks and graph transformer architectures, stands out for its capability to capture intricate relationships and s...
In clinical artificialintelligence (AI), graph representation learning, mainly through graph neural networks and graph transformer architectures, stands out for its capability to capture intricate relationships and structures within clinical datasets. With diverse data—from patient records to imaging—graph AI models process data holistically by viewing modalities and entities within them as nodes interconnected by their relationships. Graph AI facilitates model transfer across clinical tasks, enabling models to generalize across patient populations without additional parameters and with minimal to no retraining. However, the importance of human-centered design and model interpretability in clinical decision-making cannot be overstated. Since graph AI models capture information through localized neural transformations defined on relational datasets, they offer both an opportunity and a challenge in elucidating model rationale. Knowledge graphs can enhance interpretability by aligning model-driven insights with medical knowledge. Emerging graph AI models integrate diverse data modalities through pretraining, facilitate interactive feedback loops, and foster human–AI collaboration, paving the way toward clinically meaningful predictions.
This book comprises select proceedings of the 7th International Conference on Innovative Computing which was held in Bangkok, Thailand, Jan 19-23, 2025 (IC 2025) focusing on cutting-edge research carried out in the ar...
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ISBN:
(数字)9789819680030
ISBN:
(纸本)9789819680023;9789819680054
This book comprises select proceedings of the 7th International Conference on Innovative Computing which was held in Bangkok, Thailand, Jan 19-23, 2025 (IC 2025) focusing on cutting-edge research carried out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure management, etc. The essays are written by leading international experts, making it a valuable resource for researchers and practicing engineers alike.
Single-cell RNA sequencing (scRNA-seq) has provided a high-dimensional catalog of millions of cells across species and diseases. These data have spurred the development of hundreds of computational tools to derive nov...
Single-cell RNA sequencing (scRNA-seq) has provided a high-dimensional catalog of millions of cells across species and diseases. These data have spurred the development of hundreds of computational tools to derive novel biological insights. Here, we outline the components of scRNA-seq analytical pipelines and the computational methods that underlie these steps. We describe available methods, highlight well-executed benchmarking studies, and identify opportunities for additional benchmarking studies and computational methods. As the biochemical approaches for single-cell omics advance, we propose coupled development of robust analytical pipelines suited for the challenges that new data present and principled selection of analytical methods that are suited for the biological questions to be addressed.
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