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arXiv 2023年

作者： Li, Sipan Liu, Songxiang Zhang, Luwen Li, Xiang Bian, Yanyao Weng, Chao Wu, Zhiyong Meng, Helen Shenzhen International Graduate School Tsinghua University Shenzhen China AI Lab Tencent Inc Shenzhen China Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong

Generative adversarial network (GAN)-based neural vocoders have been widely used in audio synthesis tasks due to their high generation quality, efficient inference, and small computation footprint. However, it is still challenging to train a universal vocoder which can generalize well to out-of-domain (OOD) scenarios, such as unseen speaking styles, non-speech vocalization, singing, and musical pieces. In this work, we propose SnakeGAN, a GAN-based universal vocoder, which can synthesize high-fidelity audio in various OOD scenarios. SnakeGAN takes a coarse-grained signal generated by a differentiable digital signal processing (DDSP) model as prior knowledge, aiming at recovering high-fidelity waveform from a Mel-spectrogram. We introduce periodic nonlinearities through the Snake activation function and anti-aliased representation into the generator, which further brings desired inductive bias for audio synthesis and significantly improves the extrapolation capacity for universal vocoding in unseen scenarios. To validate the effectiveness of our proposed method, we train SnakeGAN with only speech data and evaluate its performance for various OOD distributions with both subjective and objective metrics. Experimental results show that SnakeGAN significantly outperforms the compared approaches and can generate high-fidelity audio samples including unseen speakers with unseen styles, singing voices, instrumental pieces, and nonverbal vocalization. Copyright © 2023, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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An Interpretable Fine-Tuned BERT Approach for Phishing URLs Detection: A Superior Alternative to Feature engineering

An Interpretable Fine-Tuned BERT Approach for Phishing URLs ...

引用

International Conference on Social Networks Analysis, management and Security (SNAMS)

作者： Yi Wei Masaya Nakayama Yuji Sekiya Department of Electrical Engineering and Information Systems Graduate School of Engineering The University of Tokyo Tokyo Japan Information Technology Center The University of Tokyo Tokyo Japan Graduate School of Information Science and Technology The University of Tokyo Tokyo Japan

ISBN: (数字)9798331518349

ISBN: (纸本)9798331518356

Phishing is a kind of cybercrime that deceives online users into disclosing confidential information, leading to identity theft and financial loss. Attackers typically use a wide range of vectors to spread phishing links, further increasing the reach and effectiveness of these malicious campaigns. As this threat continues to grow, artificial intelligence strategies have emerged as a promising solution for phishing detection in recent years. However, traditional methods that require substantial manual feature engineering have been observed to be dataset-dependent and lack generalization to unknown or newly evolving phishing attacks. To address these limitations, this study proposes a fine-tuned BERT model-based phishing detection approach utilizing a novel tokenization method and providing interpretable outputs. By thoroughly searching the latest publicly available datasets, the generalization capabilities of both feature engineering methodologies and the proposed approach are tested. The experimental results demonstrate its effectiveness, significantly surpassing feature engineering, and ensuring the approach remains robust in generalizing across different datasets.

关键词： Social networking (online) Phishing Identity theft Manuals Feature extraction Vectors Tokenization Security Artificial intelligence Computer crime

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The disruption index is biased by citation inflation

arXiv

引用

arXiv 2023年

作者： Petersen, Alexander Michael Arroyave, Felber Pammolli, Fabio Department of Management of Complex Systems Ernest and Julio Gallo Management Program School of Engineering University of California MercedCA95343 United States Politecnico Milano Department of Management Economics and Industrial Engineering Via Lambruschini 4/B Milan20156 Italy

A recent analysis of scientific publication and patent citation networks by Park et al. (Nature, 2023) suggests that publications and patents are becoming less disruptive over time. Here we show that the reported decrease in disruptiveness is an artifact of systematic shifts in the structure of citation networks unrelated to innovation system capacity. Instead, the decline is attributable to ‘citation inflation’, an unavoidable characteristic of real citation networks that manifests as a systematic time-dependent bias and renders cross-temporal analysis challenging. One driver of citation inflation is the ever-increasing lengths of reference lists over time, which in turn increases the density of links in citation networks, and causes the disruption index to converge to 0. A second driver is attributable to shifts in the construction of reference lists, which is increasingly impacted by self-citations that increase in the rate of triadic closure in citation networks, and thus confounds efforts to measure disruption, which is itself a measure of triadic closure. Combined, these two systematic shifts render the disruption index temporally biased, and unsuitable for cross-temporal analysis. The impact of this systematic bias further stymies efforts to correlate disruption to other measures that are also time-dependent, such as team size and citation counts. In order to demonstrate this fundamental measurement problem, we present three complementary lines of critique (deductive, empirical and computational modeling), and also make available an ensemble of synthetic citation networks that can be used to test alternative citation-based indices for systematic bias. © 2023, CC BY.

关键词： Patents and inventions

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Joint Multi-scale Cross-lingual Speaking Style Transfer with Bidirectional Attention Mechanism for Automatic Dubbing

arXiv

引用

arXiv 2023年

作者： Li, Jingbei Li, Sipan Chen, Ping Zhang, Luwen Meng, Yi Wu, Zhiyong Meng, Helen Tian, Qiao Wang, Yuping Wang, Yuxuan The Tsinghua-CUHK Joint Research Center for Media Sciences Technologies and Systems Shenzhen International Graduate School Tsinghua University Shenzhen518055 China The Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong ByteDance Shanghai China

Automatic dubbing, which generates a corresponding version of the input speech in another language, can be widely utilized in many real-world scenarios, such as video and game localization. In addition to synthesizing the translated scripts, automatic dubbing further transfers the speaking style in the original language to the dubbed speeches to give audiences the impression that the characters are speaking in their native tongue. However, state-of-the-art automatic dubbing systems only model the transfer on the duration and speaking rate, disregarding the other aspects of speaking style, such as emotion, intonation and emphasis, which are also crucial to fully understand the characters and speech. In this paper, we propose a joint multiscale cross-lingual speaking style transfer framework to simultaneously model the bidirectional speaking style transfer between two languages at both the global scale (i.e., utterance level) and local scale (i.e., word level). The global and local speaking styles in each language are extracted and utilized to predict the global and local speaking styles in the other language with an encoder-decoder framework for each direction and a shared bidirectional attention mechanism for both directions. A multiscale speaking style-enhanced FastSpeech 2 is then utilized to synthesize the desired speech with the predicted global and local speaking styles for each language. The experimental results demonstrate the effectiveness of our proposed framework, which outperforms a baseline with only duration transfer in objective and subjective evaluations. © 2023, CC BY.

关键词： Translation (languages)

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Sensor-Based Nutrient Recirculation for Aeroponic Lettuce Cultivation

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Journal of Biosystems engineering 2021年第1期46卷 81-92页

作者： Chowdhury, Milon Islam, Md Nafiul Reza, Md Nasim Ali, Mohammod Rasool, Kamal Kiraga, Shafik Lee, Dae-hyun Chung, Sun-Ok Department of Agricultural Machinery Engineering Graduate School Chungnam National University Daejeon34134 Korea Republic of Department of Smart Agricultural Systems Graduate School Chungnam National University Daejeon34134 Korea Republic of

Purpose: The objective of this study was to investigate the effects of used-nutrient solution recirculation on nutrient efficiency improvement and reduction of environmental pollution of an ion-selective electrodes (ISEs)-based recycle-type aeroponic crop cultivation system. Methods: A recycle-type aeroponic crop cultivation test bench was fabricated, which consisted of K+, NO3-, and Ca2+ ISEs, pH, and EC sensor, and lettuce were cultivated for inspecting the nutrient solution recirculation process. The specific growth rate of lettuce was evaluated. Different percentages of the used-solution (20%, 40%, 60%, 80%, and 100% of the target volume) were recirculated to find a proper recirculation volume for maintaining the target nutrient level with the minimum supply of stock solutions. The nutrient saving percentage was determined by comparing the nutrient solution requirement with the open-type aeroponic system and open-field cultivation practices. Reduction of environmental pollution was assessed based on the possible environmental pollutions (i.e., surface water pollution, groundwater contamination, and contaminant deposition in the human body), which could be occurred by the direct discharge of the hydroponic nutrient solution. Results: The minimum amount of stock solutions were required during the 60% used-solution recirculation. The nutrient solution requirement of the recycle-type aeroponic system was almost 3 to 5 times less than the open-type aeroponic system, and 3 to 6 times less than open-field cultivation based on nutrient consumption rates at different growth stages. An open-type aeroponic system might require more nutrient solution than the open-field cultivation practices based on the frequency of nutrient solution supply in the crop root zone. Although, the discharged nutrient solution increased the K+, NO3-, and Ca2+ ion levels a little in the considered surface water reservoir, groundwater, and human body, long-term discharge of the high concentrated

关键词： Nutrients

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Differentially Private Log-Location-Scale Regression Using Functional Mechanism

arXiv

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arXiv 2024年

作者： Sheng, Jiewen Fang, Xiaolei Graduate Program in Operations Research North Carolina State University United States Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University United States

This article introduces differentially private log-location-scale (DP-LLS) regression models, which incorporate differential privacy into LLS regression through the functional mechanism. The proposed models are established by injecting noise into the log-likelihood function of LLS regression for perturbed parameter estimation. We will derive the sensitivities utilized to determine the magnitude of the injected noise and prove that the proposed DP-LLS models satisfy ϵ-differential privacy. In addition, we will conduct simulations and case studies to evaluate the performance of the proposed models. The findings suggest that predictor dimension, training sample size, and privacy budget are three key factors impacting the performance of the proposed DP-LLS regression models. Moreover, the results indicate that a sufficiently large training dataset is needed to simultaneously ensure decent performance of the proposed models and achieve a satisfactory level of privacy protection. © 2024, CC BY.

关键词： Budget control

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Waste management Application using UML

Waste Management Application using UML

引用

Renewable Solutions for Ecosystems: Towards a Sustainable Energy Transition (ICRSEtoSET), International Conference on

作者： Yara Hossam Lara Ashraf Nour Mohamed Omar Rabea Yousef Shoula Sally Kassem Irene Samy Industrial Engineering Program School of Engineering and Applied Science Nile University Giza Egypt Smart Engineering Systems Research Center (SESC) Nile University Faculty of Computers and Artificial Intelligence Cairo University Cairo Egypt Industrial Engineering Department Smart Engineering Systems Research Center (SESC) Giza Egypt

ISBN: (数字)9798350346336

ISBN: (纸本)9798350346343

Solid waste creation will continue to grow both in amount and pace as long as there are human activities. The consequences of improper solid waste management are highly harmful to the environment and human health, requiring immediate action to stabilize the situation. This research represents a solid waste collection management system through several unified modelling language (UML) models. The motivation for utilizing the UML modelling approach in solid waste collection management is twofold: first, the environmental importance of solid waste management collection, second the efficiency of UML models in representing such a complex system. The models developed in this research serve as the initial step towards building an efficient mobile application for solid waste collection management. Such mobile application is expected to encourage the use of best practices to manage solid waste collection according to the recent rapid growth of mobile technology utilization.

关键词： Waste management Visual BASIC Waste materials Solid modeling Renewable energy sources Biological system modeling Unified modeling language

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IoT human needs inside compact house

引用

Journal of Open Innovation: Technology, Market, and Complexity 2023年第1期9卷 1-9页

作者： Azis, Baskoro Ong, Ardvin Kester S. Prasetyo, Yogi Tri Persada, Satria Fadil Young, Michael N. Sari, Yanuarita Kusuma Permata Nadlifatin, Reny Interior Design Department School of Design Bina Nusantara University Jakarta 11480 Indonesia School of Industrial Engineering and Engineering Management Mapua University Manila 658 Muralla St. Intramuros Manila 1002 Philippines Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta 11480 Indonesia Communication Science Department Faculty of Digital Communication and Hotel & Tourism Bina Nusantara University Jakarta 11480 Indonesia Department of Information Systems Institut Teknologi Sepuluh November Kampus ITS Sukolilo Surabaya 60111 Indonesia

Indonesia is entering Industry 4.0, but is still not using supportive technology, especially in residential areas. A compact house is one of the dwellings built on limited modern land, providing flexible use of space according to the activities carried out by residents. The current version of this type of residence, namely smart homes, is still far from what is expected. There is a need for the modern use of IoT in every room, which can adapt to the activities of residents to make it easier for residents to move. A grounded theory and descriptive approach was used to find the continuity of modern Industry 4.0 and IoT technology in smart homes with the compact house concept to find the novelty of design standards. The findings are in the form of lighting that can be adjusted via IoT to reduce the crime rates in abandoned homes or in homes that are not active because the residents are traveling. © 2023 The Authors

关键词： Activity Compact house IoT Light Smart home

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Preference Location of Assignment engineering Professionals in the Middle East: A Conjoint Analysis Approach 22

Preference Location of Assignment Engineering Professionals ...

引用

4th International Conference on management Science and Industrial engineering, MSIE 2022

作者： Pineda, Jan Russell P. Prasetyo, Yogi Tri Nadlifatin, Reny Persada, Satria Fadil Chuenyindee, Thanatorn Ayuwati, Irene Dyah School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines Entrepreneurship Department Binus Business School Undergraduate Program Bina Nusantara University Jakarta11480 Indonesia Department of Industrial Engineering and Aviation Management Navaminda Kasatriyadhiraj Royal Air Force Academy Bangkok10220 Thailand Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Faculty of Business and Information Technology Institut Teknologi Telkom Surabaya Surabaya Indonesia

ISBN: (纸本)9781450395816

This study examines the preference of location of assignment of engineering professionals working in the Middle East. A survey method that allows for the use of structured questionnaire was adopted. The study was conducted to engineering professionals with a total of 55 participants. Data gathered was coded and analyzed using Conjoint Analysis. Results revealed that location of assignment in design offices or cities is still preferred over remote area assignments with attractive salary and other additional compensation packages. The research results recommend employers to also consider non-monetary aspects in order to retain valued employees in their companies. © 2022 ACM.

关键词： Location

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