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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Rathnayaka, Prabod Gamage, Gihan De Silva, Daswin Alahakoon, Damminda Manic, Milos La Trobe University Centre for Data Analytics and Cognition Melbourne Australia Virginia Commonwealth University Department of Computer Science Richmond United States

ISBN: (纸本)9798350331820

Machine perception of emotions is integral to the development of human-centric Artificial Intelligence (AI) in sustainable industrial applications. Human expressions of emotions are not always direct. Word embeddings are mature techniques that can extract the semantics of such indirect expressions from text data. However, they are not primed to extract emotions. In this paper, we propose a novel approach that generates robust word embeddings for implicit and explicit expressions of emotion. This approach consists of two techniques, mask and rogue, we evaluate both techniques on two benchmark datasets for emotion classification. Our results confirm the effectiveness of the proposed approach in extracting emotions from diverse contexts. We have shared the emotion word embedding for public use. © 2023 IEEE.

关键词： Embeddings

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How costly can red-black trees be? 3rd

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3rd International Conference on Computing and Information, ICCI 1991

作者： Cameron, Helen Wood, Derick Data Structuring Group Department of Computer Science University of Waterloo WaterlooONN2L 3G1 Canada

ISBN: (纸本)9783540540298

We show that the internal path length of a red-black tree of size N is bounded above by 2N(log N - log log N) + O(N) and that this is, asymptotically, tight. This result further affirms a conjecture that whenever trees of size N, in a class of height-balanced binary trees, have height bounded from above by α log2 N, then the internal path length is bounded from above by α(log2 N - log2 log2 N) + O(N). We also prove that the asymptotic bound is tight for red-black trees. For this purpose, we introduce a class of red-black trees, the C(k, h) trees, which achieve the bound when k = h - 21og h + Ε, where |Ε| ≤1/2. This result solves the open problem of how bad red-black trees can be. In order to establish this result, we also prove that any red-black tree of a given height can be produced from a "skinniest" red-black tree of the same height by a series of simple insertions. © Springer-Verlag Berlin Heidelberg 1991.

关键词： Binary trees

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Signal Analysis of the Singing Voice: Low-Order Representations of Singer Identity 26

Signal Analysis of the Singing Voice: Low-Order Representati...

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26th International computer Music Conference, ICMC 2000

作者： Mellody, Maureen Wakefield, Gregory H. Applied Physics Program University of Michigan United States Department of Electrical Engineering and Computer Science University of Michigan United States

Signals from 12 soprano and mezzo-soprano singers are analyzed with the modal distribution, a high-resolution time-frequency analysis method, to obtain measures of instantaneous amplitude and frequency of the signals’ partial components. These estimates are used to construct singer-specific transfer functions for each vowel and pitch analyzed. An AR approximation to a residual representation of these transfer functions is determined. This low-order residual approximation is used in a hierarchical clustering experiment. Using this representation, functions from each singer for a given vowel tend to cluster into a single class before classes collapse across singers. This result suggests that the low-order residual approximation captures singer-specific features in the sung signals. © 2000 ICMC. All Rights Reserved.

关键词： Transfer functions

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Cybersecurity Detection Using Neural Networks for Chemical Industry 1

Cybersecurity Detection Using Neural Networks for Chemical I...

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1st International Conference on Technology, Engineering, and Computing Applications, ICTECA 2023

作者： Pratama, Ilham Fitrah Eka Mantoro, Teddy Wijayanti, Rika Persadha, Pratama Dahlian Postgraduate Program of Medical Intelligence National Intelligence College Bogor Indonesia Sampoerna University Department of Computer Science Jakarta Indonesia

ISBN: (纸本)9798350360554

Cybersecurity threats affect all sectors of the economy, especially the chemical industry. The chemical industry is a critical infrastructure vulnerable to cyberattacks. In addition to financial and reputational losses, they can also cause serious accidents (such as loss of control of hazardous materials) with serious consequences for workers, society, and the environment. Industrial control panel systems are typically embedded in a variety of physical devices. The safety of control systems is crucial for ensuring the secure functioning of industrial chemical processes. Nevertheless, the susceptibility of control systems to cyber-attacks has intensified due to the extensive deployment of actuators, sensor measurements, and wireless communications. These attacks have the potential to propagate swiftly and result in severe industrial accidents. This study was conducted as part of a systematic literature review. The purpose of this study is to analyze cybersecurity threats to the chemical industry. Research shows that although cyber attacks are highly vulnerable to the chemical industry, they can be detected through neural network-based integration (NN) without having to know the process model when large quantities of historical data are available and easy to apply. It has been shown that it can be done. It is hoped that the policy recommendations obtained from this research will provide more effective guidelines for protecting the chemical industry from the risks of cyber threats. © 2023 IEEE.

关键词： Chemical industry

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The Role of Biosafety and Biosecurity in Biotechnology to Prevent Bioterrorism Threats 1

The Role of Biosafety and Biosecurity in Biotechnology to Pr...

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1st International Conference on Technology, Engineering, and Computing Applications, ICTECA 2023

作者： Subariyah, Riski Mantoro, Teddy Ratmono, Barito Mulyo Postgraduate Program of Medical Intelligence National Intelligence College Bogor Indonesia Sampoerna University Department of Computer Science Jakarta Indonesia

ISBN: (纸本)9798350360554

'Society 5.0' is characterized as a high degree of integration of cyberspace and physical space capable of promoting economic growth and addressing social problems in a modern information society based on cutting-edge technology advancements for data processing and knowledge creation. Recent developments in the field of biotechnology have been demonstrated by gene editing techniques, especially CRISPR-Cas9, such as basic research, applied biotechnology, and biomedical research Most biotechnology is essentially 'dual use' because its development can result in both profitable and nefarious goals, all depending on the perspective and motivation of the perpetrator. The purpose of this research is a better understanding of biosecurity, biosecurity, and bioterrorism threats, so as to provide a foundation for policymakers, researchers, and health professionals to improve global health security so as to realize effective biodefense systems. The research was conducted by library research, namely data collection with literature studies. By implementing biosafety and biosecurity laboratory measures in accordance with established guidelines and guidelines can help protect people, animals, the environment, and national security. Medical intelligence is vital to monitoring and assessing the threat of bioterrorism through the process of data collection, which is then analyzed, and data dissemination. The medical intelligence community can help protect public safety and prevent bioterrorism by understanding and implementing strong biosafety and biosecurity practices in laboratories. Bioterrorism attacks that can occur at any time must be anticipated by medical intelligence by conducting research and assessment of bioterrorism threats, analyzing information so that it can be passed on to the government to take appropriate policies to be able to detect and monitor the spread of infectious diseases quickly, and developing strategies to prevent the spread of disease. Combining health s

关键词： Bioterrorism

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Big data Analytics for Quality Control in The Pharmaceutical Industry 10

Big Data Analytics for Quality Control in The Pharmaceutical...

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10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024

作者： Malathi, P. Jansi, S. Prabhakaran, M.V. Senbagam, K. Sujatha, M.P. Sadaieswaran, R. Saveetha College of Liberal Arts and Sciences Saveetha Institute of Medical and Technical Sciences Department of Data Analytics Tamil Nadu Chennai India Acharya college of Engineering and Technology Department of Computer science and Engineering Achariyapuram Puducherry India Dhanalakshmi Srinivasan College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Mamallapuram India Agni College of Technology Department of Computer Science and Engineering Chennai Thalambur India Tagore College of arts and science Department of Computer Applications Chennai Chromepet India

ISBN: (纸本)9798350384369

In order to ensure the safety and manufacturing efficiency of pharmaceuticals, rigorous quality control measures are necessary. However, existing quality control systems often struggle with industrial process complexity and regulatory requirements. The proposed study highlights the need for a revolutionary strategy to overcome the limitations of existing systems. Quality control systems in existing systems have limitations such as real-time monitoring, insufficient data analysis for pattern identification, and limited predictive capabilities. These limitations have an impact on the industry's ability to recognize and manage quality concerns, posing a danger to medicine manufacturing. For addressing these issues, a novel approach to maintain quality control in the pharmaceutical sector using big data analytics is proposed. Advanced analytics are used for real-time monitoring, data analysis and predictive modeling in the proposed system. The results and analysis through extensive comparisons shows proposed big data analytics system achieves 95% fault detection, 40% downtime reduction, and 35% waste reduction in pharmaceutical manufacturing. The proposed system's ability to handle massive datasets allows it to identify complicated patterns and abnormalities, enabling proactive quality control. The implementation exceeds industry standards, addressing data privacy and security concerns. © 2024 IEEE.

关键词： data quality

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Multi-Agent RAG Chatbot Architecture for Decision Support in Net-Zero Emission Energy Systems 25

Multi-Agent RAG Chatbot Architecture for Decision Support in...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Gamage, Gihan Mills, Nishan De Silva, Daswin Manic, Milos Moraliyage, Harsha Jennings, Andrew Alahakoon, Damminda La Trobe University Centre For Data Analytics And Cognition Melbourne Australia Virginia Commonwealth University Department Of Computer Science Richmond United States

ISBN: (纸本)9798350340266

Modern energy platforms are increasingly leveraging Artificial Intelligence (AI) for effective decision-making and efficient operations. This has led to the development of expansive data spaces that comprise both structured and unstructured energy data in various modalities. Conversational agents with the most recent advancements in Large Language Models (LLM) are primed to facilitate the efficient retrieval of this diverse information for decision support. In this paper, we propose a multi-agent chatbot architecture for decision support in net-zero emissions energy systems, leveraging LLMs and Retrieval-Augmented Generation (RAG). This architecture consists of a Chatbot User Interface (UI), an advanced Natural Language Understanding (NLU) module for precise entity and intent recognition, a robust Chatbot Core with four specialized agents: Observer, Knowledge Retriever, Behavior Analyzer, and Visualizer and Response Construction Module. These components work together to address diverse decision support needs in energy environments, specifically for net zero carbon emissions initiatives that need to consider diverse parameters and large volumes of data. We showcase the chatbot's successful integration and evaluation for decision support in the net-zero emissions energy system of a large tertiary education institution. © 2024 IEEE.

关键词： User interfaces

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Replication System of Oracle database Standard Edition by Utilizing Traditional Archived Log

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Procedia computer science 2018年 135卷 140-146页

作者： Aria Sukma Suharjito Diana Computer Science Department BINUS Graduate Program- Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

This article will be described replication system of oracle database standard edition by utilizing traditional archived log, because in this database version doesn’t have replication feature like in oracle database enterprise edition. The research methodology which being used by this research are data collection, analysis, and design. Literature study is used for data collection methods. Analyze current replication system such as data-guard and Golden-gate are used for analysis methods. Design is method by development of prototype application to run extract, transport and recovery function for source and target database. The result of this research is a replicator application prototype for oracle database standard edition by utilizing traditional archived log was created by transaction at database. The conclusions of this are replication performance by utilizing traditional archived log has quite similarly function compared by data-guard that exist in Oracle enterprise edition in terms of data replication

关键词： Application Replication systems Replication database Replication Oracle database Standard Edition

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Comparative analysis of disaster information website based on web usability evaluation and quality content of disaster information 4

Comparative analysis of disaster information website based o...

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4th International Conference on science and Technology, ICST 2018

作者： Agus Riyanto, Indra Abdatush Sholihah, Ratri Cahyadi, Ahmad Master Program on Planning and Management of Coastal Area and Watershed Faculty of Geography Universitas Gadjah Mada Indonesia Computer Science Computer Science and Electronics Department Universitas Gadjah Mada Indonesia Environmental Geography Department Universitas Gadjah Mada Indonesia

Disaster is one of the most important researches because every country in the world has their own disaster potential. Disaster assessment improves over time due to technological and information advancements;and it is very reliant to a long period of data record. Disaster information is already available online in various websites, and is presented in form of map, data, video and multimedia contents. Each country has different disaster information standards, the Web Usability and quality of disaster-related content. This research objective is to find good model WEBUSE and quality content both national and international disaster website. National disaster website includes: Geospatial Information Agency (Badan Informasi Geospasial/BIG), Meteorological, Climatological and Geophysical Agency (Badan Meteorologi Klimatologi dan Geofisika/BMKG), National Disaster Management Authority (Badan Nasional Penanggulangan Bencana/BNPB);while international website includes: National Oceanic and Atmospheric Administration (NOAA) and United States Geological Survey (USGS). Usability comparison method uses the WEBUSE questionnaire with 4 categories, content organization and readability, navigation and links, user interface design, and performance and effectiveness;while the disaster-related content quality is measured using scoring method, with 4 categories, the geospatial information, data quality, product, and accessibility, according to United Nations Office for Disaster Risk Reduction (UNISDR). The usability level analysis for all 5 websites are classified as "good", with USGS achieving the highest score of 0.703. As for the disaster-related quality content analysis result, USGS fulfills all categories. © The Authors, published by EDP sciences, 2019.

关键词： Disasters

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Electrostatic Discharge Parameter Prediction based on DALSTM Model 7

Electrostatic Discharge Parameter Prediction based on DALSTM...

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7th IEEE International Symposium on Electromagnetic Compatibility, ISEMC 2023

作者： He, Xiusi Ruan, Fangming Xu, Kai Wang, Wenli Guizhou Normal University School of Big Data and Computer Science Guiyang China Liupanshui Vocational and Technical College Department of Bioengineering Liupanshui China

ISBN: (纸本)9798350333107

To improve accuracy and convergence speed of predicting variation of electrostatic discharge parameters, with Double Attention mechanism, a Long Short-Term Memory (LSTM) neural network time series prediction model (DALSTM) was proposed in this paper. By introducing the LSTM cell structure reconstructed with the attention mechanism, the model parameters are reduced to improve the convergence speed, and the self-attention layer calculates the self-attention weights on the output of each hidden layer to make full use of the cellular memory information and improves the prediction accuracy. After analysis using data from experiment results with the new system testing electrode moving velocity effect, proposed DALSTM model, compared to LSTM model, has indicators to be reduced to 62.77% in Root Mean Square Error (RMSE), 74.56% in Mean Absolute Error (MAE) and 74.58% in Mean Absolute Percentage Error (MAPE), respectively. There is also a significant improvement compared to other benchmark methods. © 2023 IEEE.

关键词： Long short-term memory

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