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Assessment of Using Artificial Intelligence Navigational Applications in Metro Manila 14

Assessment of Using Artificial Intelligence Navigational App...

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14th international conference on Software Technology and engineering, ICSTE 2024

作者： Sedilla, Raymond B. Concepcion, Edrick Joseph D. Otilla, Glenmar P. Lim, Aisaac Job M. Velarde, Rojelio C. Samonte, Mary Jane C. School of Information Technology Mapua University Manila Philippines School of Mechanical and Manufacturing Engineering Mapúa University Manila Philippines School of Civil Environmental Geological Engineering Mapúa University Manila Philippines School of Information Technology Mapua University Makati City Philippines

ISBN: (纸本)9798350378955

Navigation systems are frequently used by people and are a basis for routes, transportation, and logistics. Many users of GPS applications often encounter problems when using these systems due to incorrect data being received. The study investigated the issues users face regarding their use of GPS applications and the lack of features that need to be improved or included. The study utilized the data gathered in the survey to understand underlying themes and problems encountered by respondents, and it shows that the integration of AI with navigation systems will benefit users. The survey also discovered that most respondents have a high level of complete agreement on integrating AI into navigational applications. The research explores integrating real-time data from CCTV cameras across Metro Manila into AI-powered GPS navigation apps. By collecting data from CCTVs, the study aims to advance the accuracy and capability of GPS navigation and devising routes in Metro Manila. By understanding individual behavior and preferences, AI algorithms can provide tailored suggestions for nearby points of interest and route preferences. The level of personalization greatly enhances the user experience gives a broader perspective on navigation throughout Metro Manila and improves engagement with AI-integrated GPS tracking applications. © 2024 IEEE.

关键词： Global positioning system

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A Secure Authentication Mechanism for IOT Devices Using Hyperledger Fabric 5th

A Secure Authentication Mechanism for IOT Devices Using Hype...

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5th international conference on Advances in Distributed Computing and Machine Learning, ICADCML 2024

作者： Infant Vinoth, P. Nagendra Kumar, D. Guhan, M.P.S. Archana, M.R. Santhana Hari, S. Department of Computer Science and Engineering Thiagarajar College of Engineering Madurai India

ISBN: (纸本)9789819718405

There is currently widespread use of IoT devices across various fields like health care, agriculture, manufacturing, transportation, and smart cities. IoT involves connecting objects and devices to the internet, which allows them to communicate, collect, and exchange data among the devices. These data that it gets require a need to properly provide data privacy so that these data are not misused by a malicious user. Since data privacy is important in this environment, which involves a lot of data transfer among the various IoT devices. So, in this paper, a blockchain-based platform called Hyperledger fabric is used for data exchange between IoT devices, and a new authentication mechanism has been proposed for the Hyperledger fabric platform so that we can ensure data privacy. Being a consortium blockchain, we in this paper provide a zero knowledge proof (ZKP) based authentication mechanism for each and every IoT device, so that we tend to eliminate the possibility of a malicious device on the Hyperledger fabric platform. The suggested system enhances the privacy of data transfer between IoT devices, and it is assessed based on a variety of performance indicators in order to demonstrate the potential advantages of the proposed mechanism. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Authentication

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Conceptualization of an Operational Capability Development Framework to Facilitate the Integration of Additive manufacturing Based on a Use Case Perspective 43rd

Conceptualization of an Operational Capability Development F...

引用

43rd IFIP WG 5.7 international conference on Advances in Production Management systems (APMS)

作者： Gustafsson, Christopher Nygren, Christer Malardalen Univ Hamngatan 15 S-63105 Eskilstuna Sweden

ISBN: (纸本)9783031716478;9783031716454;9783031716447

This paper proposes an operational capability development framework to facilitate additive manufacturing (AM) integration from an AM use case perspective. We conducted a single case study in collaboration with master students and AM actors. data was collected through interviews with respondents from five AM actors and additional data collection methods. data was analyzed thematically. The conceptualization of the proposed framework was performed iteratively by revisiting the literature and empirical data. The proposed framework provides insights on targeted operational performance and operational capabilities, including its constituents and development mechanisms, based on AM use cases which are evaluated regarding AM's potential and fit to fulfill a company's needs. We evaluated the framework based on selected AM use cases and additional insights from industry professionals and academics. This paper introduces a novel framework for operational capability developed to facilitate AM integration. Thereby, yielding another way of working with AM integration based on an AM use case perspective for engineers, managers, and other decision-makers. Therefore, we recommend that future research should extend the framework to include, evaluation using additional AM use cases, the development of dynamic capabilities, and evaluate other industrial contexts.

关键词： 3D Printing Adoption Implementation Production System Development Advanced manufacturing Technology

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Design Consideration of Table-top Model of an AI-Enabled Aquaponics System 7

Design Consideration of Table-top Model of an AI-Enabled Aqu...

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7th IEEE Pune Section international conference, PuneCon 2024

作者： Yadav, Anamika Trivedi, Yashashwini Sharma, Neelotpal Indian Institute of Technology Dept. of Electronics and Electrical Engineering Assam Guwahati India Class 12th Disha Delhi Public School Rajasthan Kota India

ISBN: (纸本)9798331527822

Aquaponics is the fusion of hydro-farming with aquaculture, whereby vegetation produced in a soilless culture, typically in a regulated environment, uses the nutrients supplied by growing fish. Fish produce nearly all the nutrients needed for plant development. These systems may offer greater sustain-ability, lower resource use, and fewer environmental effects than traditional aquaculture. Most participants include education professionals, commercial operators, non-profit societies managing aquaponic systems as a hobby, and consultants selling products, materials, and services. Various operational conditions can influence these systems, such as the selection of species, restricted funding, and skewed market conditions. Owing to these problems, the farming sector is shifting toward automation or smart, which uses artificial intelligence (AI) and the Internet of Things (IoT) to streamline processes and boost output. AI and IoT technology incorporate several cutting-edge methods and devices, such as big data, cloud computing, networking, sensor technology, and mobile applications. To keep this system's popularity in mind, the study aims to design a tabletop model of an AI-enabled aquaponic system. This systematic approach uses scientific methodologies to produce study findings that can be disputed, improved, and repeated. This technique is anticipated to speed up the creation of useful systems, scientific knowledge, and smart commercial implementations. This research is essential for businesses as professionals planning to invest in new initiatives must consider manufacturing costs, product worth, and investment return. © 2024 IEEE.

关键词： Aquaculture

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ONTOLOGY-BASED CONTEXT-AWARE data ANALYTICS IN ADDITIVE manufacturing

ONTOLOGY-BASED CONTEXT-AWARE DATA ANALYTICS IN ADDITIVE MANU...

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ASME 2024 international Design engineering Technical conferences and Computers and Information in engineering conference, IDETC-CIE 2024

作者： Park, Yeun Witherell, Paul Cho, Hyunbo National Institute of Standards and Technology MD United States Pohang University of Science and Technology Korea Republic of

ISBN: (纸本)9780791888353

Recent advances in Additive manufacturing (AM), particularly in production scenarios, have been largely driven by insights achieved through data analytics. AM has greatly benefited from the increasingly large amounts of data generated during the design to product transformation. Despite the large amounts of data that can be generated from each build, the variations that can occur between builds create challenges in data reuse. Advances in data analytics are coming in the form of advanced machine learning algorithms, and are often associated with deep learning, where large amounts of data are analyzed, and interpretations are made. While such algorithms are increasingly adept at solving complex problems, solutions are highly dependent on the data used to train the algorithms and thus often subject to unwanted bias. Contextualization of data can help limit unintended bias and improve the probability of attaining viable results. data contextualization often comes through domain context. This work describes the development of an AM ontology to support context-aware data analytics. The Additive manufacturing data Analytics Ontology, or AMDA Ontology, is developed to facilitate the contextualization of AM data through the representation of explicit AM concepts throughout the design to product transformation and the encoding of inhering relationships within the concepts. The AM concepts are accompanied by a suite of concepts representative of the necessary modeling, simulation, and analytics terms to create links between AM data, AM data analytics opportunities, and appropriate machine learning algorithms. The early results indicate that AMDA ontology has the ability to facilitate key correlations between AM data and the analytic opportunities to enhance the design to product transformation of AM parts. Copyright © 2024 by National Institute of Standards and Technology (NIST)

关键词： Smart manufacturing

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Digitization of Forensic engineering: Overview, Perspectives and New Challenges 14th

Digitization of Forensic Engineering: Overview, Perspectives...

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14th international conference on Information, Intelligence, systems, and Applications, IISA 2023

作者： Finocchiaro, Regina Amelio, Alessia Biondi, Samuele Department of Engineering and Geology University "G. d’Annunzio" Chieti-Pescara viale Pindaro 42 Pescara65127 Italy

ISBN: (纸本)9783031674259

In the last years, digitization of data and processes in the forensic field has started to flourish as a core aspect of computer science, due to the need of extracting, representing and storing the underlying information. The scope of application is wide and multidisciplinary, as the digitization process now fully involves all phases of the forensic process. Due to the recent innovations in the field of knowledge representation and data analytics, this paper provides a thorough methodological overview of the main digitizing approaches and algorithms within the so-called "Forensic engineering". Firstly, the two terms "Digitization" and "Forensic" will be introduced and defined. Then, the meaning and value of these two concepts combined together will be explored. Accordingly, an overview of the forensic digitization procedure will be provided and the importance that this digital transformation entails, in both scientific and innovation terms. Secondly, different examples of data-driven approaches and intelligent systems for knowledge extraction, representation and classification will be presented in multiple contexts of forensic engineering. Following a methodologic analysis of the main limitations of the existing methods, we will propose innovative and promising research directions in the field. Finally, many difficulties, due to Code requirements and Code of Practice approaches, will be pointed out in order to define a more practical approach for a common Legal Engineer. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Forensic engineering

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Hybrid Cyber-Physical Intrusion Detection System for Smart manufacturing 37

Hybrid Cyber-Physical Intrusion Detection System for Smart M...

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37th international Florida Artificial Intelligence Research Society conference, FLAIRS 2024

作者： Potts, Jeremy Ismail, Muhammad Department of Computer Science College of Engineering Tennessee Tech University CookevilleTN United States

Smart manufacturing is an important part of our critical infrastructure and is the current age of industry where physical components such as robotic arms, 3-D Printers, CNC machine, etc. are all interconnected and remotely controlled or automated which provides a major boost in efficiency.[9] While these systems are more convenient, the cyber-physical integration expands the attack surface of these systems for any potential threats to act on and exploit. This integration also creates gaps in the current intrusion detection systems (IDS) and the research of such systems as they focus on either the cyber or physical components of these system which leaves blind spots when an attack can only be detected by using either cyber or physical data. This paper presents an experiment conducted to fill that gap by creating a cyber-physical testbed, launching Denial of Service and Physical Hijacking attacks, collecting benign and malicious data, and creating a hybrid IDS utilizing K-Nearest Neighbors and Decision Tree models that consider both cyber and physical data. This hybrid IDS produced good results, achieving an accuracy of 97.2% which is roughly the same as separate cyber and physical IDSs, but there is a significant boost in precision (98.4%), recall (94.2%), and F1 score (96.1%) when using the hybrid IDS compared to the separate IDSs. Copyright © 2024 by the authors.

关键词： Intrusion detection

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Real-time Tool Defect Detection systems 3

Real-time Tool Defect Detection Systems

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3rd international conference on Smart Technologies and systems for Next Generation Computing, ICSTSN 2024

作者： Velmurugan, V. Elamvazhudi, B. Kulothungan, S. Mamimaran, C. IFET College of Engineering Mechanical Engineering Tamilnadu Villupuram India

ISBN: (纸本)9798350391565

To support the competition and to produce industrial economically, it seems mostly that manufacturing systems must exhibit a high level of disgruntlement in their operation. Hence, to create such flexibility and thereby develop a Flexible manufacturing System (FMS), it is necessary to reduce the human intervention in production. Flexibility in manufacturing can be understood and applicable through various standards & interpretations. In this work, the defects in the tools will be analyzed using image processing tools could exploit defects in the tool at a flexible manufacturing environment. Information from the installed sensors on vibration, acoustic emissions, spindle speed and cutting force in machine can be employed together to infer indirectly about tool flaws;portions or position referenced for correspondence mapping thus locating areas of interest. This information is primarily obtained through sensors, and upon processing this data it gives us some insight as to how the tool functions abnormally or where potential defects may be. A more direct approach is the non-contact cutting tool monitoring especially that which typically relies on vision images using optical inspection. This is because using this method, tool defects can be accurately described by size and position. It is possible to use digital image processing technologies to enhance the precision of the inspection and identification of the cutting tool's condition. Besides making the methodology less rigid, it improves the reliability of cutting tool damage, workpiece defects, and tool positioning. In this case, the inspection process is aided by the DIP in providing extensive visual information concerning the condition of the tool. When it comes to this technology method, real-time control and quick decisions are provided and the dependence on people is significantly reduced, increasing versatility and manufacturing system performance. Therefore, the development of competitive and genuinely versatil

关键词： Inspection

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Estimation of Lithium-ion Battery Health State Using Partial Charge-Discharge data 6

Estimation of Lithium-ion Battery Health State Using Partial...

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6th international conference on Energy systems and Electrical Power, ICESEP 2024

作者： Dong, Wusong Li, Zuxin Liu, Dingding Xu, Lihao School of Engineering Huzhou University Huzhou China School of Intelligent Manufacturing Huzhou College Huzhou China

ISBN: (纸本)9798350353563

data-driven methods are techniques for estimating the health state of lithium-ion batteries with the widest scope of application, yet the difficulty lies in obtaining complete charge/discharge process data in actual scenarios. In order to increase efficiency in both data utilization and health state prediction, efficient indirect health features of lithium-ion cells are exploited from charge/discharge data based on a time series method. These features stem from partial data within specific voltage ranges, and they are subsequently imported into a Long Short-Term Memory neural network model. The parameters of the model are automatically tuned by the Pelican Optimization Algorithm. This approach achieves high-accuracy health state estimation on different batteries. The work reveals potential for lithium-ion battery health state prediction with fragmented data. © 2024 IEEE.

关键词： State of charge

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Relevance of Industry 4.0 in manufacturing and Financial systems engineering (MFSE)—Connected Factories and Networks 1

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Proceedings of the international conference on Advancement in manufacturing engineering (ICAME) 2022

作者： Ravi, K. Naveenchanran, P. Department of Automobile Engineering Bharath Institute of Higher Education and Research Tamil Nadu Chennai India

ISBN: (数字)9789819913084

ISBN: (纸本)9789819913077

Today's industrial organizations face issues such as resource utilization, a shorter time to market, the creation of personalized products, and the connectivity of infrastructural pieces. This article discusses Industry 4.0 and Internet-connected technology's impact on corporate and societal value creation. Industry 4.0 is a solution to these challenges;it is the evolution of industrial systems that enables them to remain competitive. Industry 4.0 includes cyber-physical systems, additive manufacturing, virtual reality, predictive maintenance, and other features. Industry 4.0 is discussed in scholarly articles, conference proceedings, and social media sites. The authors analyse data gleaned from social network posts about Industry 4.0 in order to providing novel insights into the implementation of Industry 4.0. The data was gathered over time from the Twitter social network and then assessed in terms of the visibility and existence of Industry 4.0 and its components. The suggested roadmap is important because it accelerates the implementation of Industry 4.0 technologies for smart manufacturing and bridges the gap between sophisticated technologies and their implementation in manufacturing, especially for MFSEs. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Industry 4.0

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