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检索条件"丛书名=Communications in Computer and Information Science"

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Utilizing Large Language Models for Privacy Protection and Advancing Medical Digitization

Utilizing Large Language Models for Privacy Protection and A...

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2024 International Workshop on Deidentification of Electronic Medical Record Notes

作者： Ru, Zhu-Jian Panchal, Omkar Chen, Ching-Tai Jonnagaddala, Jitendra Dai, Hong-Jie Hsueh, Sheng-Chun Natl Kaohsiung Univ Sci & Technol Dept Elect Engn High Performance Distributed Syst Lab 415 Jiangong Rd Kaohsiung Taiwan Asia Univ Dept Bioinformat & Med Engn Taichung Taiwan CGD Hlth Pvt Ltd Hyderabad Telangana India Univ New South Wales Sydney NSW Australia NMC Royal Hosp Abu Dhabi U Arab Emirates Natl Kaohsiung Univ Sci & Technol Dept Elect Engn Intelligent Syst Lab 415 Jiangong Rd Kaohsiung Taiwan

ISBN: (纸本)9789819779659;9789819779666

This research explores the utilization of artificial intelligence (AI) language generation models for the de-identification of medical case narratives, effectively anonymizing patient identifiers to prevent unauthorized disclosure of sensitive health information. This ensures that patient data remains unrecognizable even when accessed, offering two significant advantages: compliance with legal standards forbidding the indiscriminate release of medical records, and bolstered trust in healthcare providers which encourages patients to share necessary details for therapeutic and investigative purposes. Historically, de-identification processes necessitated the manual examination of records by specialists to identify and sanitize personal identifiers, it is a time-consuming task with potential for error. The digitalization of medical records now offers avenues for automated de-identification, simultaneously enhancing data accuracy and facilitating the ethical utilization of extensive datasets in healthcare research, public health strategy, and policymaking. The emergence of sophisticated generative AI technologies has augmented the capacity for comprehensive de-identification. Platforms such as ChatGPT and Bing have evolved to address complex human inquiries. Yet, employing these tools without proper safeguards potentially compromises de-identification objectives by risking data exposure. To advance the integrity of privacy measures and maintain data governance, this study fine-tunes a pre-established vast language AI model, Pythia, for localized training with state-of-the-art technology with rigorous privacy assurance.

关键词： Large language models Sensitive health information Fine tuning QLora

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Emotion-Aware Interfaces: Empirical Methods for Adaptive User Interface 1

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8th International Conference on computer-Human Interaction Research and Applications-CHIRA-Annual

作者： Haddad, Syrine Daassi, Olfa Belghith, Safya Univ Tunis El Manar Natl Engn Sch Tunis Tunis Tunisia Univ Carthage Natl Engn Sch Carthage Carthage Tunisia Lab Robot Informat & Complex Syst LR RISC ENIT Tunis Tunisia

ISBN: (数字)9783031826337

ISBN: (纸本)9783031826320;9783031826337

Designing User Interfaces (UIs) that can interpret and respond to user emotions has evolved from a passing trend to a core tenet of design philosophy. As technology advances, it becomes increasingly important to predict users' emotional states during interface interactions. This paper proposes a cutting-edge deep learning model designed to predict a wide range of emotions in users, such as Happiness, Anger, Calmness, and Surprise. The research started with a thorough survey, gathering feedback from 72 users regarding UI designs tailored to various emotions. Using these insights, interfaces were developed to address different emotional states. Following the design phase, a user interaction study was conducted involving 29 participants interacting with these interfaces while their facial expressions were recorded. Subsequently, a predictive model for user emotions was developed, achieving an accuracy of 83%, showcasing its robustness and reliability in discerning and predicting user emotions based on interactions with UIs. This model was seamlessly integrated into a proposed real-time adaptive UI system. Notably, existing literature has traditionally relied on pre-existing software for emotion detection in adaptive systems. Our contribution is to demonstrate an Emotional Interface Adaptation System that uses a trained model in real-world circumstances to provide a dynamic and responsive user experience that adapts in real-time to users' emotional cues.

关键词： Emotion-driven GUI design Facial expression analysis Emotion adaptive systems

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Assessing Multilinguality of Topic Models on a Short-Text South African Languages Dataset 5th

Assessing Multilinguality of Topic Models on a Short-Text So...

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5th Southern African Conference for Artificial Intelligence Research

作者： Roos, Darren Craig Malan, Katherine Mary Univ South Africa Dept Decis Sci Pretoria South Africa

ISBN: (纸本)9783031782541;9783031782558

Topic modelling is an important technique in natural language processing, enabling the extraction of underlying themes from large textual corpora. Measuring the performance of topic models is largely an open problem. In addition, the increasing number of multilingual corpora makes it important to be able to measure the multilingual performance of topic models. Current coherence metrics either fail to take into account multilinguality, or they rely on expensive parallel corpora. To address these gaps, we introduce a novel performance metric called Multilingual Topic Coherence (MTC). MTC measures the extent to which topics represent multilingual ideas without using a parallel corpus. It combines word embedding-based coherence with a multilinguality score. To test MTC's effectiveness, we constructed a short-text dataset comprising texts from nine of South Africa's official languages. We compared the MTC performance of three widely used topic models: Latent Dirichlet Allocation (LDA), ZeroShotTM, and BERTopic. Our findings indicate that contextualized topic models, such as ZeroShotTM and BERTopic, outperform traditional models like LDA in terms of both coherence and multilinguality. The MTC metric provides a more nuanced evaluation, highlighting the strengths and weaknesses of each model in handling multilingual topics. This research advances the understanding and application of topic modelling in multilingual and low-resource environments, offering a robust metric for future evaluations. Code used to conduct this study is provided (https://***/AlgorithmicAmoeba/multilingual topic coherence).

关键词： Natural language processing Topic modelling South African languages topic model performance Multilingual topic coherence

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A Novel Symmetric Key Based Authentication Scheme that Saves Energy for Edge Devices of the Internet of Things 5th

A Novel Symmetric Key Based Authentication Scheme that Saves...

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5th International Conference on Computing science, Communication and Security

作者： Kuppuswamy, Prakash Al-Maliki, Sayeed Q. Al-Khalidi John, Rajan Mani, Mohan SRM Univ Sonipat Haryana India King Khalid Univ Abha Saudi Arabia Jazan Univ Jazan Saudi Arabia

ISBN: (纸本)9783031751691;9783031751707

In today's digitally connected world, edge devices such as smartphones, tablets, wearables, and IoT devices have become an essential part of our day-to-day life. These devices facilitate seamless connectivity and enable us to access information and services at our fingertips. However, this convenience comes at a cost - the potential compromise of sensitive data due to security vulnerabilities. Edge device security has become a significant concern, and one of the solutions to address these concerns is the utilization of cryptography algorithms. With the rapid proliferation of edge devices in today's interconnected world, the basic for strong and efficient safety mechanisms has become paramount. One such mechanism is the symmetric key algorithm, which plays a vital role in securing edge devices and safeguarding critical data. A device-based authentication algorithm that saves energy and enables secure communication within the edge devices is crucial for verifying device identity and ensuring device security. This article explores a new energy-saving authentication protocol based on integers and modulo 37 called SSK (simple symmetric key algorithm). This new authentication protocol is easy to implement and is particularly suitable for edge devices on the Internet of Things that require energy savings and potential security. Additionally, this article discusses the implementation of SSK algorithms, edge device security, their functionality, and potential use cases.

关键词： Internet of Things Edge Device authentication algorithm Simple symmetric key Cryptography etc.

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A Comparative Study of GPT3.5 Fine Tuning and Rule-Based Approaches for De-identification and Normalization of Sensitive Health information in Electronic Medical Record Notes

A Comparative Study of GPT3.5 Fine Tuning and Rule-Based App...

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2024 International Workshop on Deidentification of Electronic Medical Record Notes

作者： Zhao, Zi-Rui Chou, Po-Chen Mir, Tatheer Hussain Dai, Hong-Jie Natl Kaohsiung Univ Sci & Technol Intelligent Syst Lab Dept Elect Engn Coll Elect Engn & Comp Sci 415 Jiangong Rd Kaohsiung 807618 Taiwan Natl Kaohsiung Univ Sci & Technol Coll Elect Engn & Comp Sci Dept Elect Engn 415 Jiangong Rd Kaohsiung 807618 Taiwan Natl Inst Canc Res Natl Hlth Res Inst Tainan Taiwan Kaohsiung Med Univ Ctr Big Data Res 100 Shihcyuan 1st Rd Kaohsiung 807 Taiwan Kaohsiung Med Univ Sch Post Baccalaureate Med Coll Med Shihcyuan Ist Rd Kaohsiung 807 Taiwan

ISBN: (纸本)9789819779659;9789819779666

Electronic Medical Records (EMR) systems enhance medical care efficiency through the consolidation of data analysis, bolstering patient safety, and diminishing storage expenses. Nevertheless, EMR text notes have the potential to reveal sensitive personal information, necessitating the implementation of robust security measures to protect sensitive information. Furthermore, the representation of temporal data in EMR text notes differs among institutions, which has a direct effect on the precision and dependability of time data analysis. In light of this, the AI CUP 2023-Privacy Protection and Standardization of Electronic Medical Record competition released a dataset annotated with sensitive health information (SHI) and normalized temporal information. We participated in the challenge and conducted a comparative study to assess the efficacy of two approaches, the fine-tuning of a large language model based on the chat generative pre-trained transformer (ChatGPT) and the rule-based approach, in enhancing the privacy of clinical texts. For the ChatGPT-based approach, we fine-tuned the gpt-3.5-turbo-1106 model to efficiently identify labels. In contrast, in the rule-based approach, we compiled several rules along with dictionaries collected from the internet and released datasets for recognizing and normalizing SHIs. The ChatGPT-based approach achieved macro-F-scores of 0.752 and 0.799 for SHI recognition and temporal information normalization, while the rule-based approach highlighted 0.866 and 0.869 for the two respective subtasks, exhibiting lower latency and power consumption. Both strategies exhibited their respective benefits in tackling privacy concerns. The implementations of both rule-based and ChatGPT-based methods can be accessed through the following GitHub repositories: https://***/zhao-rui-NB/worker_intelligence_ner (rule-based method) and https://***/Chou-po-chen/openai_ner(ChatGPT-based method).

关键词： Natural language processing de-identification sensitive health information temporal information normalization ChatGPT rule-based approach

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Valorizing Automotive Tire Waste via Additive Manufacturing Technologies 5th

Valorizing Automotive Tire Waste via Additive Manufacturing ...

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5th 5th Olympus - International Conference on Supply Chain

作者： Kladovasilakis, Nikolaos Natsios, Ioannis Pech-livani, Eleftheria Maria Tzetzis, Dimitrios Tzovaras, Dimitrios Hellas Informat Technol Inst CERTH ITI Ctr Res & Technol Thessaloniki 57001 Greece Int Hellen Univ Sch Sci & Technol Digital Mfg & Mat Characterizat Lab Thessaloniki 57001 Greece I4byDesign PC 6th Klm Charilaou Thermis Thessaloniki 57001 Greece

ISBN: (纸本)9783031693502;9783031693519

Towards a sustainable future and aiming to reduce pressure on natural resources, circular economy and recycling play a crucial role. Therefore, it is essential to develop methods for recycling non-recyclable materials with remarkable physio-mechanical properties. One category of such materials is automotive tire waste, composed of synthetic and natural rubber, chemical additives, fabrics, etc. Automotive end-of-life tires are discarded in large numbers (over 1 billion) annually and consist of non-recyclable materials with significant environmental hazards. In this context, the current study aims to present a sustainable method for utilizing automotive tire waste by employing robust recycling systems and additive manufacturing technologies. Automotive end-of-life tires were shredded into a powder form and mixed with Acrylonitrile Butadiene Styrene (ABS) pellets to create distinct mixtures with various compositions. These mixtures were processed through a robust recycling system to develop printable filaments made of composite materials with a polymeric matrix and tire particles as reinforcement. The produced filaments, as secondary life products, were used for Fused Filament Fabrication (FFF) of tensile and compression 3D printed specimens. These specimens were designed and tested under quasi-static tensile and compression loading, according to ISO 527 and 604, in order to be evaluated in terms of structural integrity and repeatability. The results of this study indicate a sustainable process for utilizing automotive tire waste via additive manufacturing with the ultimate objective of reusing and remanufacturing in a more circular way valorizing the tire industry and reducing the impacts of human economic activities on the environment.

关键词： Recycled Automotive Tire Circular Economy Additive Manufacturing 3D Printing ABS Mechanical Testing Second Life Products Ground Tire Rubber (GTR)

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QuantumUnit: A Proposal for Classic Multi-qubit Assertion Development 12th

QuantumUnit: A Proposal for Classic Multi-qubit Assertion De...

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12th Conference on Cloud Computing, Big Data and Emerging Topics

作者： Garcia-Rodriguez de Guzman, Ignacio de la Barrera Amo, Antonio Garcia Angel Serrano, Manuel Polo, Macario Piattini, Mario Univ Castilla La Mancha Inst Tecnol & Sistemas Informac Camino Moledores S-N Ciudad Real 13071 Spain

ISBN: (纸本)9783031708060;9783031708077

In this work, we present a systematic approach to implementing basic assertions in quantum circuits in order to verify classical states across any number of qubits. Our methodology utilizes fundamental quantum gates available on all gate-based quantum computing platforms. Through strategic combinations of these gates, we construct the 'Equal to', 'Different than', 'Greater than', and 'Lower than' comparators. By introducing single-qubit comparators and demonstrating how they can be expanded to handle multiple qubits, we provide a scalable method for verifying classical states in quantum circuits. This work provides the groundwork for robust testing procedures in quantum computing, a critical factor in the continued growth and reliability of this rapidly advancing field.

关键词： quantum computing quantum testing quantum assertion quantum software engineering

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Techniques for Determining the Operational and Non-operation Condition of a Technical Facility Based on Estimates of the Relationship Between the Useful Signal and the Noise 2nd

Techniques for Determining the Operational and Non-operation...

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2nd International Conference on information Technologies and Their Applications

作者： Aliev, Telman Musaeva, Naila Inst Control Syst 68 B Vahabzada AZ-1141 Baku Azerbaijan Azerbaijan Univ Architecture & Construct 11 A Sultanova AZ-1073 Baku Azerbaijan

ISBN: (纸本)9783031734168;9783031734175

It is shown that in many cases the signals that come from sensors installed to control the technical condition of a facility consist of a useful component and additive noise. The noise may be caused by both external factors and the initiation of a defect in the process of facility's operation. Noise caused by the influence of external factors, as a rule, is not correlated with the useful signal. Noise caused by the initiation of a defect or malfunction is correlated with the useful signal. Therefore, in order to distinguish between the operational and non-operational technical condition of a facility, it is necessary to calculate the correlation coefficient between the noise and the useful signal. However, in practice, it is impossible to isolate the useful component and the noise from the noisy signal. It is shown that the estimates of correlation coefficient and normalized cross-correlation function between the noise and the useful signal serve as indicators of the transition of a technical facility from the operational condition to the non-operational condition. Therefore, determination algorithms of the correlation coefficient and normalized cross-correlation function the between the noise and the useful signal have been developed. It is shown that the estimates of the relay correlation function of the noisy signal are used to calculate these estimates. It is noted that the use of the developed indicators can increase the adequacy and correctness of operation of monitoring systems.

关键词： Noise Useful Signals Correlation Coefficient Normalized Correlation Function Technical Facility Operational and Non-operational Condition

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Investigating the Segment Anything Model for Crop Head Counting in Cereal Crops 2nd

Investigating the Segment Anything Model for Crop Head Count...

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2nd International Conference on Agriculture-Centric Computation

作者： Tejasri, N. Rajalakshmi, P. Balram, M. Balaji, N. Desai, Uday B. IIT Hyderabad Dept Artificial Intelligence Hyderabad Telangana India IIT Hyderabad Dept Elect Engn Hyderabad Telangana India PJTSAU Inst Biotechnol Hyderabad Telangana India PJTSAU Dept Agron Hyderabad Telangana India

ISBN: (纸本)9783031744396;9783031744402

Effectively harnessing computer vision techniques powered by supervised deep learning in precision agriculture requires extensive data gathering and meticulous ground truth annotation that involves human effort. The emerging vision-based foundational models in Artificial Intelligence (AI) are gaining notable importance. Recently, Meta AI Research introduced a general, promptable Segment Anything Model (SAM) that has undergone pre-training on an extensive dataset dedicated to segmentation (SA-1B). Without additional training, this model is known to demonstrate its ability to generalize effectively to novel objects. This research assesses the effectiveness of the Segment Anything Model (SAM) in precision agriculture, specifically in counting crop heads within cereal crops such as paddy, wheat, and maize.

关键词： Segment Anything Model Precision Agriculture computer Vision Instance Segmentation Cereal Crop Crop head counting

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The Influence of Tribal Leaders in the Adoption of e-Banking Products in the Kingdom of eSwatini: Using Social Influence Theory 4th

The Influence of Tribal Leaders in the Adoption of e-Banking...

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4th International Conference on Society 5.0

作者： Mhlanga, Sandile Thamie Langerman, Josef Univ Johannesburg Johannesburg South Africa

ISBN: (纸本)9783031714115;9783031714122

In eSwatini, traditional authority is essential for handling conflicts, making decisions, allocating land, and providing cultural activities for the people living in their chiefdom. In this study we examine the role of traditional chiefs in the acceptance of electronic banking (e-Banking) products in eSwatini. The aim was to look specifically at the tribal authority's influence. Therefore, Social Influence Theory as our theoretical lens was employed for this study with the purpose of understanding changes brought about in individual's attitude. A focus group discussion was embarked on to obtain a diverse and comprehensive view of factors that are associated with the adoption of electronic banking products. A qualitative data analysis software *** version 9 was used for qualitative analysis in this study. The study shows that even though there is a positive view around Identification with traditional leadership, Compliance and Internalization contradict the view that traditional leadership influences the adoption of e-Banking products. This leads us to conclude that leadership does not have a strong effect on the adoption of these e-Banking products.

关键词： Tribal Leadership e-Banking eSwatini

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