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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Preserving Tangible and Intangible Cultural Heritage: The Cases of Volterra and Atari 20th

Preserving Tangible and Intangible Cultural Heritage: The Ca...

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20th International Workshop on Combinatorial Image Analysis (IWCIA)

作者： Grzeszczuk, Maciej Skorupska, Kinga Grabarczyk, Pawel Fuchs, Wladyslaw Aubin, Paul F. Dietrick, Mark E. Karpowicz, Barbara Maslyk, Rafal Zinevych, Pavlo Stawski, Wiktor Knapinski, Stanislaw Kopec, Wieslaw Polish Japanese Acad Informat Technol XR Ctr Warsaw Poland Fdn Hist Home Comp Poland Poland IT Univ Copenhagen Copenhagen Denmark Univ Detroit Mercy Detroit MI 48221 USA Volterra Detroit Fdn Royal Oak MI USA Kobo Assoc Toronto ON Canada

ISBN: (纸本)9783031665936;9783031665943

At first glance, the ruins of the Roman Theatre in the Italian town of Volterra have little in common with cassette tapes containing Atari games. One is certainly considered an important historical landmark, while the consensus on the importance of the other is partial at best. Still, both are remnants of times vastly different from the present and are at risk of oblivion. Unearthed architectural structures are exposed to the elements just as the deteriorating signals stored on magnetic tapes. However, the rate of deterioration is much faster with the magnetic media, as their life expectancy is counted in decades, whereas the Roman Theater, which is already in ruin, measures its lifespan in centuries. Hence, both would benefit from some form of digital preservation and reconstruction. In this panel, we discuss how to sustainably preserve tangible and intangible cultural artifacts for future generations.

关键词： Cultural Heritage Virtual Reality Magnetic Media Heritage Preservation

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Integrating AIoT for Enhanced Monitoring and Optimization of Transmission Lines Earthing System 2nd

Integrating AIoT for Enhanced Monitoring and Optimization of...

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2nd International Conference on Forthcoming networks and Sustainability in the AIoT Era (FoNeS-AIoT)

作者： Ahmed, Saadaldeen Rashid Hussain, Abadal-Salam T. Fadhil, Mohammed Sulaiman, Sazan Kamal Shah, Pritesh Itankar, Nilisha Tawfeq, Jamal Fadhil Taha, Taha A. Yass, Alaa A. Alayan Univ Coll Engn Artificial Intelligence Engn Dept Nasiriyah Iraq Bayan Univ Comp Sci Dept Erbil Kurdistan Iraq Al Kitab Univ Tech Engn Coll Dept Med Instrumentat Tech Engn Kirkuk Iraq Knowledge Univ Coll Engn Dept Comp Engn Erbil Iraq Symbiosis Int Deemed Univ SIU Symbiosis Inst Technol SIT Pune Campus Pune 412115 Maharashtra India Al Farahidi Univ Med Tech Coll Dept Med Instrumentat Tech Engn Baghdad Iraq Northern Tech Univ Unit Renewable Energy Kirkuk Iraq Northern Tech Univ Dept Elect Engn Technol Kirkuk Iraq

ISBN: (纸本)9783031628801;9783031628818

This study investigates the integration of Artificial Intelligence of Things (AIoT) in transmission line earthing systems for enhanced monitoring and optimization. Leveraging real-time data insights, the research utilizes a dataset encompassing ground resistance, fault currents, and environmental conditions. The methodology involves the seamless integration of AIoT technologies, providing a transformative approach to earthing system management. Findings reveal significant patterns and trends, showcasing the potential of AIoT to revolutionize system dynamics. Contributions include advancements in monitoring and optimization, addressing longstanding challenges. The results highlight the economic, environmental, and safety benefits of the proposed integration, setting the stage for an intelligently adaptive and resilient future in power system management.

关键词： Relay Power Protection Transformer Overload Small Transient Period Control Surface System

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Utilizing CNN Architectures for Non-invasive Diagnosis of Speech Disorders 19th

Utilizing CNN Architectures for Non-invasive Diagnosis of Sp...

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19th International Conference on Dependability of Computer systems (DepCoS-RELCOMEX)

作者： Ratajczak, Filip Najda, Mikolaj Szyc, Kamil Wroclaw Univ Sci & Technol Wroclaw Poland

ISBN: (纸本)9783031618567;9783031618574

This study explored the potential of convolutional neural networks (CNNs), like VGG and ResNet, in diagnosing diseases affecting the voice and speech apparatus through non-invasive analysis of vowel sound recordings. Utilizing the Saarbruecken Voice Database, voice recordings were transformed into spectrograms for model training, focusing on the vowels /a/, /u/, and /i/. The research employed Explainable Artificial Intelligence (XAI) techniques to highlight critical features for disease detection within these spectrograms, aiming to provide medical professionals with deeper insights into disease manifestations in voice patterns. Based on the F1-score, performance evaluation revealed that ResNet18 models achieved a score of 71.51 +/- 2.49, outperforming VGG19 models, which scored 68.51 +/- 1.78. The study's findings suggested that vowel selection and data augmentation strategies did not significantly enhance model performance. Additionally, it highlighted the inefficacy of using the 'U' and 'I' vowels as standalone indicators for disease diagnosis, recommending the aggregation of multichannel data to improve feature extraction by the models. (All results are fully reproducible, the source code is available at https://***/Tesla2000/DepCoS2024).

关键词： Convolutional Neural networks (CNNs) Voice Disorder Diagnosis Explainable Artificial Intelligence (XAI) Vowel Sound Analysis

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Review of the Diabetic Retinopathy Prediction Model Based on the Enhanced VGH Algorithm 1

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8th Smart Trends in Computing and Communications (SmartCom)

作者： Madan, Bhagyashree S. Sharma, Avinash Shri Ramdeobaba Coll Engn & Management Nagpur 440013 Maharashtra India Madhyanchal Profess Univ Bhopal 462044 India

ISBN: (数字)9789819713264

ISBN: (纸本)9789819713257;9789819713264

The most common disease in diabetic patients is diabetic retinopathy. It can cause eye blindness in people if it is not treated. The majority of people with type-1 and type-2 diabetes get DR as a consequence. Diabetes now becomes a main challenge to our human health. Till now many technologies and algorithms have implemented to detect DR stage. To detect DR in early stages is must to prevent from blindness of an eye. In this paper we have discussed some of the different authors implemented the employing several deep learning and machine learning methods to find diabetic retinopathy. This paper gives the proposed model of detection of DR using VGH algorithm. New technology can be implemented in future using the Vision guided horse optimizer (VGH algorithm), which is formed by the standard hybridization of the optics inspired and horse herd optimization that helps in achieving faster convergence.

关键词： Deep learning Machine learning Convolutional neural network Diabetic retinopathy

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Right to Be Forgotten: A Human Rights-Based Approach for Governance in Generative AI 1

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8th Smart Trends in Computing and Communications (SmartCom)

作者： Ghial, Rita Pundir, Diksha Kaur, Rajinder Panjab Univ Univ Inst Legal Studies Chandigarh India

ISBN: (数字)9789819713202

ISBN: (纸本)9789819713196;9789819713202

The Industrial Revolution 1.0 thrived in eighteenth century with factories and machines such as steam engines leading to mechanization of production. The Industrial Revolution 2.0 was propelled by electricity- and oil-based power in nineteenth century for mass production. The Industrial Revolution 3.0 was cultivated in the twentieth century through Electronics and Information and Communication Technologies for automatic production. The current phase of Industrial Revolution 4.0 in twenty-first century is built over the Industrial Revolution 3.0;but indeed is distinct from it due to its exponential growth, scope and impact across different sectors and industries in the Anthropocene age or era of humans. The Industrial Revolution 4.0 is led by technologies with 'Digital Intelligence' such as 'Internet of things', 'Artificial Intelligence', 'Cloud Computing', 'Quantum Computing', etc. Within the artificial intelligence (AI), the generative artificial intelligence (GAI) with its scale, scope, and complexity will progress toward a period that humankind has never experienced before. Parallel to the development of the digitally intelligent machines have emerged a new set of generational human rights which can also be called as 'Digital Rights' to safeguard our human rights in digital space. Right to be forgotten (RTBF) is one such emerging legal and digital right in civil, criminal, and tortious justice system. This research paper discusses the role of RTBF in the realm of one the prominent 'Digitally Intelligent' technology-GAI and discusses the conflicts of interests and rights arising between RTBF and GAI models.

关键词： Right to be forgotten Digital intelligence GAI Governance Privacy

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Decomposed Fuzzy AHP Integrated Quality Function Deployment Methodology for Disaster Process in Turkiye 1

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International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Demir, Melisa Caliskan Sagiroglu, Aslihan Taskin, Alev Istanbul Aydin Univ Istanbul Turkiye Istanbul Arel Univ Istanbul Turkiye Yildiz Tech Univ Istanbul Turkiye

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

Performance metrics play a crucial role in evaluating NGOs and minimizing the adverse impacts incurred during times of disaster. Turkiye is one of the countries where catastrophic disasters occur, especially earthquakes, which can sometimes result in tens of thousands of deaths. This study aims to investigate the impact of disaster victims' expectations and NGOs' activities on the disaster management process in Turkiye. In this context, the Decomposed Fuzzy Analytic Hierarchy Process (DF-AHP) integrated Quality Function Deployment (QFD) methodology is employed to analyze the disaster management process in Turkiye. To date, there has been no research in the existing literature that has extended QFD to incorporate the significance of individuals' expectations in disaster processes as determined by DF-AHP, considering linguistic uncertainties from both optimistic and pessimistic points of view. The findings indicate that the most crucial technical property is "Clarity of the organizational structure & awareness of responsibilities". This research introduces a pragmatic and efficient methodology aimed at enhancing the efficacy of disaster management procedures within NGOs. Its findings can serve as a benchmark for diverse sectors. Moreover, the outcomes of this study can offer valuable insights for the advancement of post-disaster operations in Turkey's NGO sector.

关键词： Disaster Management Decomposed Fuzzy Analytic Hierarchy Process (DF-AHP) Quality Function Deployment (QFD)

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Adoption of GDPR - In the Intermunicipal Community of Terras de Tras-os-Montes, Portugal 1

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11st World Conference on Information systems and Technologies (WorldCIST)

作者： Padrao, Pascoal Lopes, Isabel Ribeiro, Maria Isabel Inst Politecn Braganca Campus Santa Apolonia P-5300253 Braganca Portugal Inst Politecn Braganca UNIAG Campus Santa Apolonia P-5300253 Braganca Portugal Univ Minho Algoritmi P-4704553 Braga Portugal Inst Politecn Braganca Ctr Invest Montanha CIMO Lab Associado Sustentabilidade & Tecnol Regioes M Campus Santa Apolonia P-5300253 Braganca Portugal

ISBN: (数字)9783031456459

ISBN: (纸本)9783031456442;9783031456459

In the face of rapid globalization and rapid technological evolution, new challenges have emerged in terms of personal data protection, demanding a solid and more coherent protection framework in the European Union (EU). Thus, the European Union created a Regulation, in 2016, with the aim of protecting the privacy of personal data of citizens of the European Union. Thus, in May 2018, Regulation (EU) 2016/679 - General Data Protection Regulation (GDPR) entered into force. Thus, after 6 years since its creation and four since its entry into force, with this research work, we intend, through a survey, to assess the state of implementation and adoption of the GDPR in Local Public Administration in Portugal, focusing on Municipalities inserted in the Intermunicipal Community of Lands of Tras-os-Montes (CIM-TTM). The results are discussed in the light of the literature and future work is identified with the aim of evaluating the implementation of such an important regulation with regard to secrecy, privacy and preservation of personal data.

关键词： General Data Protection Regulation Municipalities Data Protection Officer Information systems Security

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Behaviors and Patterns of TV News Viewing in Malaysia During and After Covid-19 Pandemic 9th

Behaviors and Patterns of TV News Viewing in Malaysia During...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Joo, Tang Mui Teng, Chan Eang Tunku Abdul Rahman Univ Management & Technol Kuala Lumpur 53300 Malaysia

ISBN: (纸本)9789819745807;9789819745814

The demise of Television (TV) news before Covid-19 has been an attention when people have shifted to online platforms for online news. Covid-19 Pandemic has changed the demand for TV news. The media landscape in Malaysia has then been reengineered by the impact of it. Driven by the theory of Fear Appeal in the information searching about Covid-19 during Malaysian Movement Control Order (MCO), TV news viewing has increased. This research aims to study the behaviors and patterns of TV news consumption during Covid-19 Pandemic in Malaysia. It is also to study the significance of TV news to Malaysians during the Pandemic. This research targets to ascertain the change of trend in TV news viewing behaviors and patterns among Malaysians during and after the Pandemic. In-depth interviews are conducted with 10 interviewees from Northern, Central and Southern Sarawak, the largest state in Malaysia. Purposive sampling is applied where the interviewees are from the background of media practitioners, educators, and undergraduates. The interviews are conducted from end March to early April 2023. Written consent has been obtained and ethical clearance is gotten. It is found that the TV news viewing behaviors and patterns have changed starting from MCO. It is corresponding to the various statistics reviewed and to the theory of Fear Appeal in the updates of Covid-19. After MCO, Malaysians expect various contents, presentations, and promotional activities that can engage the audiences. It is also to cope and compete with the digitalization in the new phase of challenge.

关键词： TV news Viewing behaviors and patterns MCO TV contents The role of TV Fear appeal theory Sarawak Malaysia

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Efficient KPIs Analysis: Harnessing the Power of Excel and VBA Programming for Data Visualization and Analysis 4th

Efficient KPIs Analysis: Harnessing the Power of Excel and V...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Ed-daymouni, Oussama El Alaoui, Mustapha Hassouny, Maria El Amraoui, Khalid Elhamdaoui, Abderrahim Gouztal, Oumaima Chakchak, Hind Masmoudi, Lhoussaine Fares, Boubker Rouchdi, Mustapha Mohammed V Univ Fac Sci Energy Res Ctr Grp Semicond & Environm Sensor Technol BP 1014 Rabat Morocco Mohammed V Univ Rabat Fac Sci Phys Dept LCS Lab Rabat Morocco Ctr Natl Rech Sci & Tech UATRS CNRST Unites Appui Tech Rech Sci BP 8027 NU Rabat 10102 Morocco

ISBN: (纸本)9783031686740;9783031686757

The use of Key Performance Indicators (KPIs) is essential for tracking and supervising current performances, defining improvement areas, and assessing the effects of implemented modifications. There are different methods for visualizing and analyzing data that can offer important information and insights to operators and managers. However, many current visualization tools can be costly, time-consuming to develop, require programming skills, and pose accessibility constraints. This study introduces an application that has been developed using Microsoft Excel and Visual Basic for Applications (VBA) programming language to expedite and improve KPIs analysis. The application (app) enables automated calculations and generates interactive dashboards. It facilitates KPIs tracking, supervising processes, and enhancing the ability to analyze data and make good decisions. Microsoft Excel and VBA language familiarity and accessibility make the app a user-friendly platform for monitoring KPIs data across different organizational levels. These findings explain the adoption of Microsoft Excel and VBA language as a technology for data analysis. These tools enable organizations to make informed decisions based on precise and reliable data analysis. The research focuses on key performance indicators relevant to production services in corporations. A VBA application has been rapidly developed to present interactive dashboards and comprehensive analysis, ensuring flexibility, accessibility, and reliability simultaneously.

关键词： Excel VBA programming KPIs Data analysis

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Efficient Model for Prediction of Non-small Cells Lung Cancer via Deep Q-Learning 4th

Efficient Model for Prediction of Non-small Cells Lung Cance...

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4th Congress on Intelligent systems (CIS)

作者： Narad, Supriya Reddy, K. T. V. DMIHER DU Fac Engn & Technol Wardha Maharashtra India DMIHER DU FEAT Wardha Maharashtra India

ISBN: (纸本)9789819990399;9789819990405

Accurate prognosis is crucial for fast detection of non-small cell lung cancer (NSCLC). We address the need for a powerful deep Q-learning feature representation model for NSCLC prediction in this paper. We propose a novel approach for the segmentation of non-small cells, combining adaptive thresholding with a number of feature extraction techniques, including Fourier, Cosine, Wavelet, Laplace, Z Transform, S Transform, and Gabor Transform. These techniques are utilized to extract distinctive traits from the input data, enabling a more precise and comprehensive description of NSCLC features. To address these problems, we present a 1D convolutional neural network (CNN) incorporating Q-learning, a reinforcement learning technique that allows for ongoing accuracy improvements. The effectiveness of the core algorithms in our proposed model makes it stand out. Proposed method finds 12.5% more precision.

关键词： Lung Cancer Multi-domain Features Non-small cells

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