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Coastal Land Use Planning. An Integrated Approach Between Environmental Protection, Economic Competition and National Defense The Case of Quirra, Sardinia (Italy) 24th

Coastal Land Use Planning. An Integrated Approach Between En...

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24th International Conference on Computational science and Its Applications (ICCSA)

作者： Fenu, Nicolo Balletto, Ginevra Borruso, Giuseppe Univ Turin ESOMAS Dept Econ Social Studies Appl Math & Stat Turin Italy Sardarch Spin Off Univ Cagliari Cagliari Italy Univ Cagliari DICAAR Dept Civil Environm Engn & Architecture Cagliari Italy Univ Trieste DEAMS Dept Econ Business Math & Stat Bruno de Fin Trieste Italy

ISBN: (纸本)9783031652370;9783031652387

The integrated management of marine and coastal areas is considered one of the main components of the concept of sustainable development, capable of increasing the well-being of coastal communities and maintaining ecological integrity and biological diversity. In particular, Chapter 17 of Agenda 21 (UN 1992) relating to the protection of the oceans, all types of seas including closed and semi-enclosed seas and coastal areas and the protection, rational use and valorisation of their living resources, directs towards new integrated management approaches of coastal areas at different scales, through interdisciplinary, participatory and responsible methods and tools. The marine environment, including adjacent coastal areas, therefore, constitutes an essential component of the global life support system, offering sustainable development opportunities for communities. This is contrasted by extensive technical and scientific literature, which contributes to forming the "right to the sea", understood as the right to freely enjoy the sea and the beaches according to the "common good" approach. Specifically, the Autonomous Region of Sardinia recognized the Coastal Land Use Plan (PUL) as the main implementation tool through which the Municipalities, within the framework of the powers conferred pursuant to Article 41 of the Regional Law. 9/2006 (Conferral of functions and tasks to local authorities) can plan in the Maritime State Property for tourist-recreational purposes. The present manuscript is inserted into this concise framework, with which it is intended to represent the integrated and systemic approach conducted by the authors for the drafting of the PUL of the Municipality of Villaputzu (Sardinia, Italy) between environmental protection, economic competition and national defense.

关键词： Coastal Land Use Planning Integrated Coastal Planning Sardinia (Italy)

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Seizure Types Classification Based on Multi-branch Hybrid Deep Learning Network 20th

Seizure Types Classification Based on Multi-branch Hybrid De...

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20th International Conference on Intelligent Computing (ICIC)

作者： Jia, Qingwei Liu, Jin-Xing Shang, Junling Dai, Lingyun Wang, Yuxia Hu, Wenrong Yuan, Shasha Qufu Normal Univ Sch Comp Sci Rizhao 276826 Peoples R China Univ Hlth & Rehabil Sci Sch Hlth & Life Sci Qingdao 266114 Peoples R China

ISBN: (纸本)9789819755905;9789819755912

Identifying different types of seizure is essential for the treatment of epilepsy and reducing the pain and risk to patients. The task of classifying seizure types is made more challenging by the fact that EEG signals change more complexly in different types of epileptic seizures. In this paper, a multi-branch hybrid deep learning network is proposed to identify different types of seizure. Firstly, EEG signals are decomposed into multiple subcomponents by applying Hilbert Vibration Decomposition (HVD), which could provide subcomponents that retain phase information and choose subcomponents with high energy as inputs for the multi-branch hybrid deep learning network. Then, we designed a multi-branch hybrid deep learning network using convolutional neural network (CNN) and Mogrifier long short-term memory (Mogrifier LSTM) to extract spatial and temporal EEG features, followed cross-branch feature fusion based on attention mechanism. This study validates the effectiveness of the proposed method in identifying three types and four types of seizure using EEG data collected from the Temple University Hospital Epileptic Seizure Corpus (TUSZ). The highest accuracy achieved in identifying three types of seizure is 98%, with an F1-score of 0.98, while for four types of seizure, the highest accuracy reaches 97%, with an F1-score of 0.97. The results show that this multi-branch hybrid network is beneficial to the characterization of EEG signals and improves classification performance.

关键词： EEG Seizure types Hilbert Vibration Decomposition Convolutional neural network Mogrifier long short-term memory

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More Than One Gesture but Less Than Two? Inter-stroke Dependencies in Form and Meaning 15th

More Than One Gesture but Less Than Two? Inter-stroke Depend...

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15th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (DHM)

作者： Laparle, Schuyler Ferre, Gaelle Scholman, Merel C. J. Tilburg Univ Tilburg Netherlands Univ Poitiers Poitiers France Saarland Univ Saarbrucken Germany Univ Utrecht Utrecht Netherlands

ISBN: (纸本)9783031610653;9783031610660

In gesture analysis, one must segment the gesture stream into discrete units to be analyzed for meaning and alignment with accompanying speech. This requires defining what constitutes a single "gesture". Following the influential work of Kendon (2004) and McNeill (2005), this nearly always involves identifying the "stroke", the gesture's meaningful core. Innovations in the understanding of gestural meaning complicate this procedure, as there is increasing evidence that gestures are both internally complex and compositional. In the present work, we discuss the ways in which this complexity in gestural meaning may be addressed by including the notion of "gesture sequences". Using data from American television talk shows and TED talks, we demonstrate two types of inter-stroke dependencies in pragmatic gestures where one movement's meaning and form is dependent on that of a previous movement: (i) "closing gestures" signal the closure of a discourse topic and are dependent on a preceding presentation gesture;(ii) "contrast sequences" signal a contrast discourse relation and are dependent on adjacent presentation gestures occurring in different regions of gesture space. These findings have important implications for both how we annotate the gesture stream and how we simulate gesture in virtual agents.

关键词： discourse coherence topic closure contrast gesture

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Port Cities Symbiosis. Port Network Authority of the Eastern Adriatic Sea and of Sardinia Sea (Italy) 24th

Port Cities Symbiosis. Port Network Authority of the Eastern...

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24th International Conference on Computational science and Its Applications (ICCSA)

作者： Balletto, Ginevra Battino, Silvia Borruso, Giuseppe Univ Cagliari DICAAR Dept Civil Environm Engn & Architecture Via Marengo 2 I-09123 Cagliari Italy Univ Sassari Dept Econ & Business DiSea Sardinia Italy Univ Trieste DEAMS Dept Econ Business Math & Stat Bruno de Fin Via Valerio 4-1 I-34127 Trieste Italy

ISBN: (纸本)9783031653285;9783031653292

Port cities have always been key hubs for the transport of goods and people. Ports meet global transportation needs, while being integrated into geographies subject to local policies. Maritime and logistical flows pass through ports and densely built-up areas, creating new environmental challenges. Political interests and strategies, technological development, migrations, trafficking of goods and flows of people are factors that influence spatial organization as well as land use to respond to the new challenges of the global market. This also involves changes in the morphology of port cities, which are by their nature dynamic, cosmopolitan and more open to change and the reorganization of the coastal space, from port cities to port regions. Ports are becoming increasingly hybrid, progressively changing shape and inserting new functions even beyond their administrative borders, renewing the relationships of Port Cities Symbiosis. In this paper we focus on the hybridization process of ports, to address new international challenges in particular. By analyzing some theoretical and real cases of Italian port system authorities - of the Sardinian Sea of the Eastern Adriatic Sea, Ports of Trieste and Monfalcone -, it is proposed to evaluate a synthetic hybridization matrix of ports, within the framework of the broader Port cities symbiosis phenomenon.

关键词： Port-Cities Port Cities Planning Port Cities Symbiosis

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Parallel Dense Vision Transformer and Augmentation Network for Occluded Person Re-identification 1

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18th International Conference on computer-Aided Design and computer Graphics (CAD/Graphics)

作者： Yang, Chuxia Fan, Wanshu Wei, Ziqi Yang, Xin Zhang, Qiang Zhou, Dongsheng Dalian Univ Sch Software Engn Natl & Local Joint Engn Lab Comp Aided Design Dalian 116622 Peoples R China Dalian Univ Technol Sch Comp Sci & Technol Dalian 116024 Peoples R China Inst Automat CAS Key Lab Mol Imaging Beijing 100190 Peoples R China

ISBN: (数字)9789819996667

ISBN: (纸本)9789819996650;9789819996667

Occluded person re-identification (ReID) is a challenging computer vision task in which the goal is to identify specific pedestrians in occluded scenes across different devices. Some existing methods mainly focus on developing effective data augmentation and representation learning techniques to improve the performance of person ReID systems. However, existing data augmentation strategies can not make full use of the information in the training data to accurately simulate the occlusion scenario, resulting in poor generalization ability. Additionally, recent Vision Transformer (ViT)-based methods have been shown beneficial for addressing occluded person ReID as they have powerful representation learning ability, but they always ignore the information fusion between different levels of features. To alleviate these two issues, an improved ViT-based framework called Parallel Dense Vision Transformer and Augmentation Network (PDANet) is proposed to extract well and robustly features. We first design a parallel data augmentation strategy based on random stripe erasure to enrich the diversity of input sample for better cover real scenes through various processing methods, and improve the generalization ability of the model by learning the relationship between these different samples. We then develop a Densely Connected Vision Transformer (DCViT) module for feature encoding, which strengthens the feature propagation and improves the effectiveness of learning by establishing connections between different layers. Experimental results demonstrate the proposed method outperforms the existing methods on both the occluded person and the holistic person ReID benchmarks.

关键词： Occluded person ReID Vision transformer Data augmentation

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Automatic Multi-label Classification of Interictal Epileptiform Discharges (IED) Detection Based on Scalp EEG and Transformer 20th

Automatic Multi-label Classification of Interictal Epileptif...

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20th International Conference on Intelligent Computing (ICIC)

作者： Rao, Wenhao Wang, Haochen Zhuang, Kailong Guo, Jiayang Gu, Peipei Zhang, Ling Wang, Xiaolu Jiang, Jun Chen, Duo Nanjing Univ Chinese Med Sch Artificial Intelligence & Informat Technol Nanjing Jiangsu Peoples R China Xiamen Univ Natl Inst Data Sci Hlth & Med Xiamen Peoples R China Zhengzhou Univ Light Ind Coll Software Engn Zhengzhou Henan Peoples R China Hubei Univ Sci & Technol Xianning Med Coll Sch Biomed Engn & Med Imaging Xianning Peoples R China Tongji Med Coll Wuhan Childrens Hosp Clin Neuroelectrophysiol Room Wuhan Peoples R China

ISBN: (纸本)9789819755806;9789819755813

Interictal epileptiform discharges (IED) refer to abnormal electroencephalogram (EEG) waveforms that occur between epileptic seizures, which are of great significance for the diagnosis and treatment of epilepsy. Traditionally, the detection of IED requires experienced clinical doctors to visually inspect EEG recordings, a process that is time-consuming, labor-intensive, and subject to expert bias. With the advancement of deep learning technology, computer-aided methods for automatic detection of IED have become possible, providing clinicians with faster and more accurate diagnostic tools. In this paper, we propose an automated IED detection system based on Transformer, which is capable of end-to-end identification of IED from raw EEG data. We evaluated the proposed IED detector on a dataset consisting of EEG recordings from 11 pediatric epilepsy patients collected at Wuhan Children's Hospital. The results show that the average accuracy for the multi-label classification task of different types of IED is 93.47%, and the average F1 score is 93.19%. These findings provide an effective solution for the automated detection of IED and are expected to play an important role in clinical diagnosis.

关键词： Epilepsy EEG IED detection Deep learning Transformer

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CCJ-SLC: A Skin Lesion Image Classification Method Based on Contrastive Clustering and Jigsaw Puzzle 6th

CCJ-SLC: A Skin Lesion Image Classification Method Based on ...

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6th Chinese Conference on Pattern Recognition and computer Vision (PRCV)

作者： Zhang, Yuwei Xu, Guoyan Wu, Chunyan Hohai Univ Coll Comp & Informat Nanjing 211100 Peoples R China

ISBN: (纸本)9789819985579;9789819985586

Self-supervised learning has been widely used in natural image classification, but it has been less applied in skin lesion image classification. The difficulty of existing self-supervised learning is the design of pretext tasks, intra-image pretext tasks and inter-image pretext tasks often focus on different features, so there is still space to improve the effect of single pretext tasks. We propose a skin lesion image classification method based on contrastive clustering and jigsaw puzzles from the perspective of designing a hybrid pretext task that combines intra-image pretext tasks with inter-image pretext tasks. The method can take advantage of the complementarity of high-level semantic features and low-level texture information in self-supervised learning to effectively solve the problems of class imbalance in skin lesion image datasets and large intra-class differences in skin lesion images with small inter-class differences, thus improving the performance of the model on downstream classification tasks. Experimental results show that our method can achieve supervised learning classification results and outperform other self-supervised learning classification models on the ISIC-2018 and ISIC-2019 datasets, moreover, it performs well on the evaluation metrics of unbalanced datasets.

关键词： Self-supervised Learning Skin Lesion Classification Contrastive Learning Clustering Jigsaw Puzzle

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LeveragingWav2Vec2.0 for Kazakh Speech Recognition: An Experimental Study 24th

LeveragingWav2Vec2.0 for Kazakh Speech Recognition: An Exper...

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24th International Conference on Computational science and Its Applications (ICCSA)

作者： Kozhirbayev, Zhanibek Nazarbayev Univ Natl Lab Astana Astana 01000 Kazakhstan

ISBN: (纸本)9783031646072;9783031646089

In the fast-growing world of neural networks, models trained on extensive multilingual text and speech data have shown great promise for improving the state of low-resource languages. This study focuses on the application of state-of-the-art speech recognition models, specifically Facebook's Wav2Vec2.0 and Wav2Vec2-XLSR, to the Kazakh language. The primary objective is to evaluate the performance of these models in transcribing spoken Kazakh content. Additionally, the research explores the possibility of using data from other languages for initial training and examines whether fine-tuning the model with target language data can improve its performance. More so, this work gives insights into how effective pre-trained multilingual models are when used on low-resource languages. The fine-tuned wav2vec2.0-XLSR model demonstrated impressive results, achieving a character error rate (CER) of 1.9 and a word error rate (WER) of 8.9 when tested against the test set of the Kazcorpus dataset. These findings may help create robustness in Automatic Speech Recognition (ASR) systems for Kazakh which could be used for various applications such as voice-activated assistants;speech-to-text translators among others.

关键词： Automatic speech recognition Kazakh language Wav2Vec 2.0 Wav2Vec2-XLSR Pre-trained transformer models Speech representation models

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Eye Tracking to Evaluate Usability with the Older Adults: A Secondary Study 16th

Eye Tracking to Evaluate Usability with the Older Adults: A ...

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16th International Conference on Social Computing and Social Media (SCSM) Held as Part of the 26th International Conference on Human-computer Interaction (HCII)

作者： Castro, John W. Madrigal, Gianina Rojas, Luis A. Univ Atacama Dept Ingn Informat & Ciencias Comp Copiapo Chile Ctr Interuniv Envejecimiento Saludable CIES Talca Chile Univ San Sebastian Fac Ingn Arquitectura & Diseno Bellavista 7 Santiago 8420524 Chile

ISBN: (纸本)9783031612800;9783031612817

From 1980 to 2021, a significant increase in the global elderly population has been observed, a trend expected to persist until 2050. In this context, Information and Communication Technologies (ICTs) facilitate various aspects of daily life. Despite existing barriers to older adults using ICTs, studies report an increase in exposure and technology usage within this age group. Therefore, it is crucial to consider the usability of software systems used by older adults. One technique for evaluating usability is eye tracking. However, there is a lack of work compiling studies that report its use for usability evaluation involving the elderly. Our research aims to provide an overview of the use of eye tracking for usability evaluation involving older adults through a Systematic Mapping Study (SMS). We identified six primary studies reporting usability assessments using a mixed approach of qualitative and quantitative methods, combining eye tracking with other techniques such as questionnaires, interviews, and direct observation. These methods offer a comprehensive insight tailored to the specific needs of older adults. The consistency in the number of studies in recent years, except in 2020 and 2023, underscores the importance of incorporating usability considerations and the potential of eye tracking in designing technologies for older adults.

关键词： Eye Tracking Usability Evaluation Older Adult Exploratory Study

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CAPABARA: A Combined Attack on CAPA 15th

CAPABARA: A Combined Attack on CAPA

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15th International Workshop on Constructive Side-Channel Analysis and Secure Design (COSADE)

作者： Toprakhisar, Dilara Nikova, Svetla Nikov, Ventzislav Katholieke Univ Leuven COSIC Leuven Belgium NXP Semicond Leuven Belgium

ISBN: (纸本)9783031575426;9783031575433

Physical attacks pose a substantial threat to the secure implementation of cryptographic algorithms. While considerable research efforts are dedicated to protecting against passive physical attacks (e.g., side-channel analysis (SCA)), the landscape of protection against other types of physical attacks remains a challenge. Fault attacks (FA), though attracting growing attention in research, still lack the prevalence of provably secure designs when compared to SCA. The realm of combined attacks, which leverage the capabilities of both SCA and FA adversaries, introduces powerful adversarial models, rendering protection against them challenging. This challenge has consequently led to a relatively unexplored area of research, resulting in a notable gap in understanding and efficiently protecting against combined attacks. The CAPA countermeasure, published at CRYPTO 2018, addresses this challenge with a robust adversarial model that goes beyond conventional SCA and FA adversarial models. Drawing inspiration from the principles of Multi-party Computation (MPC), CAPA claims security against higher-order SCA, higher-order fault attacks, and their combination. In this work, we present a combined attack that breaks CAPA within the constraints of its assumed adversarial model. In response, we propose potential fixes to the design of CAPA that increase the complexity of the proposed attack, although not provably thwarting it. With this presented combined attack, we highlight the difficulty of effectively protecting against combined attacks.

关键词： Fault attacks Combined attacks CAPA

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