Information (Switzerland)最新文献_第5页

Prototype Selection for Multilabel Instance-Based Learning 多标签基于实例学习的原型选择

Information (Switzerland) Pub Date : 2023-10-19 DOI: 10.3390/info14100572

Panagiotis Filippakis, Stefanos Ougiaroglou, Georgios Evangelidis

{"title":"Prototype Selection for Multilabel Instance-Based Learning","authors":"Panagiotis Filippakis, Stefanos Ougiaroglou, Georgios Evangelidis","doi":"10.3390/info14100572","DOIUrl":"https://doi.org/10.3390/info14100572","url":null,"abstract":"Reducing the size of the training set, which involves replacing it with a condensed set, is a widely adopted practice to enhance the efficiency of instance-based classifiers while trying to maintain high classification accuracy. This objective can be achieved through the use of data reduction techniques, also known as prototype selection or generation algorithms. Although there are numerous algorithms available in the literature that effectively address single-label classification problems, most of them are not applicable to multilabel data, where an instance can belong to multiple classes. Well-known transformation methods cannot be combined with a data reduction technique due to different reasons. The Condensed Nearest Neighbor rule is a popular parameter-free single-label prototype selection algorithm. The IB2 algorithm is the one-pass variation of the Condensed Nearest Neighbor rule. This paper proposes variations of these algorithms for multilabel data. Through an experimental study conducted on nine distinct datasets as well as statistical tests, we demonstrate that the eight proposed approaches (four for each algorithm) offer significant reduction rates without compromising the classification accuracy.","PeriodicalId":38479,"journal":{"name":"Information (Switzerland)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135730228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Translation Performance from the User’s Perspective of Large Language Models and Neural Machine Translation Systems 基于用户视角的大语言模型和神经机器翻译系统的翻译性能

Information (Switzerland) Pub Date : 2023-10-19 DOI: 10.3390/info14100574

Jungha Son, Boyoung Kim

{"title":"Translation Performance from the User’s Perspective of Large Language Models and Neural Machine Translation Systems","authors":"Jungha Son, Boyoung Kim","doi":"10.3390/info14100574","DOIUrl":"https://doi.org/10.3390/info14100574","url":null,"abstract":"The rapid global expansion of ChatGPT, which plays a crucial role in interactive knowledge sharing and translation, underscores the importance of comparative performance assessments in artificial intelligence (AI) technology. This study concentrated on this crucial issue by exploring and contrasting the translation performances of large language models (LLMs) and neural machine translation (NMT) systems. For this aim, the APIs of Google Translate, Microsoft Translator, and OpenAI’s ChatGPT were utilized, leveraging parallel corpora from the Workshop on Machine Translation (WMT) 2018 and 2020 benchmarks. By applying recognized evaluation metrics such as BLEU, chrF, and TER, a comprehensive performance analysis across a variety of language pairs, translation directions, and reference token sizes was conducted. The findings reveal that while Google Translate and Microsoft Translator generally surpass ChatGPT in terms of their BLEU, chrF, and TER scores, ChatGPT exhibits superior performance in specific language pairs. Translations from non-English to English consistently yielded better results across all three systems compared with translations from English to non-English. Significantly, an improvement in translation system performance was observed as the token size increased, hinting at the potential benefits of training models on larger token sizes.","PeriodicalId":38479,"journal":{"name":"Information (Switzerland)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135779169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Impact of Data Science Solutions on the Company Turnover 数据科学解决方案对公司营业额的影响

Information (Switzerland) Pub Date : 2023-10-19 DOI: 10.3390/info14100573

Marian Pompiliu Cristescu, Dumitru Alexandru Mara, Lia Cornelia Culda, Raluca Andreea Nerișanu, Adela Bâra, Simona-Vasilica Oprea

{"title":"The Impact of Data Science Solutions on the Company Turnover","authors":"Marian Pompiliu Cristescu, Dumitru Alexandru Mara, Lia Cornelia Culda, Raluca Andreea Nerișanu, Adela Bâra, Simona-Vasilica Oprea","doi":"10.3390/info14100573","DOIUrl":"https://doi.org/10.3390/info14100573","url":null,"abstract":"This study explores the potential of data science software solutions like Customer Relationship Management Software (CRM) for increasing the revenue generation of businesses. We focused on those businesses in the accommodation and food service sector across the European Union (EU). The investigation is contextualized within the rising trend of data-driven decision-making, examining the potential correlation between data science applications and business revenues. By employing a comprehensive evaluation of Eurostat datasets from 2014 to 2021, we used both univariate and multivariate analyses, assessing the percentage of companies that have e-commerce sales across the EU countries, focusing on the usage of big data analytics from any source and the use of CRM tools for marketing purposes or other activities. Big data utilization showed a clear, positive relationship with enhanced e-commerce sales. However, CRM tools exhibited a dualistic impact: while their use in marketing showed no significant effect on sales, their application in non-marketing functions had negative effects on sales. These findings underscore the potential role of CRM and data science solutions in enhancing business performance in the EU’s accommodation and food service industry.","PeriodicalId":38479,"journal":{"name":"Information (Switzerland)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135778715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generative Adversarial Networks (GANs) for Audio-Visual Speech Recognition in Artificial Intelligence IoT 人工智能物联网中用于视听语音识别的生成对抗网络(GANs

Information (Switzerland) Pub Date : 2023-10-19 DOI: 10.3390/info14100575

Yibo He, Kah Phooi Seng, Li Minn Ang

{"title":"Generative Adversarial Networks (GANs) for Audio-Visual Speech Recognition in Artificial Intelligence IoT","authors":"Yibo He, Kah Phooi Seng, Li Minn Ang","doi":"10.3390/info14100575","DOIUrl":"https://doi.org/10.3390/info14100575","url":null,"abstract":"This paper proposes a novel multimodal generative adversarial network AVSR (multimodal AVSR GAN) architecture, to improve both the energy efficiency and the AVSR classification accuracy of artificial intelligence Internet of things (IoT) applications. The audio-visual speech recognition (AVSR) modality is a classical multimodal modality, which is commonly used in IoT and embedded systems. Examples of suitable IoT applications include in-cabin speech recognition systems for driving systems, AVSR in augmented reality environments, and interactive applications such as virtual aquariums. The application of multimodal sensor data for IoT applications requires efficient information processing, to meet the hardware constraints of IoT devices. The proposed multimodal AVSR GAN architecture is composed of a discriminator and a generator, each of which is a two-stream network, corresponding to the audio stream information and the visual stream information, respectively. To validate this approach, we used augmented data from well-known datasets (LRS2-Lip Reading Sentences 2 and LRS3) in the training process, and testing was performed using the original data. The research and experimental results showed that the proposed multimodal AVSR GAN architecture improved the AVSR classification accuracy. Furthermore, in this study, we discuss the domain of GANs and provide a concise summary of the proposed GANs.","PeriodicalId":38479,"journal":{"name":"Information (Switzerland)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the Use of Kullback–Leibler Divergence for Kernel Selection and Interpretation in Variational Autoencoders for Feature Creation 在变分自编码器特征创建中利用Kullback-Leibler散度进行核选择和解释

Information (Switzerland) Pub Date : 2023-10-18 DOI: 10.3390/info14100571

Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-García

{"title":"On the Use of Kullback–Leibler Divergence for Kernel Selection and Interpretation in Variational Autoencoders for Feature Creation","authors":"Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-García","doi":"10.3390/info14100571","DOIUrl":"https://doi.org/10.3390/info14100571","url":null,"abstract":"This study presents a novel approach for kernel selection based on Kullback–Leibler divergence in variational autoencoders using features generated by the convolutional encoder. The proposed methodology focuses on identifying the most relevant subset of latent variables to reduce the model’s parameters. Each latent variable is sampled from the distribution associated with a single kernel of the last encoder’s convolutional layer, resulting in an individual distribution for each kernel. Relevant features are selected from the sampled latent variables to perform kernel selection, which filters out uninformative features and, consequently, unnecessary kernels. Both the proposed filter method and the sequential feature selection (standard wrapper method) were examined for feature selection. Particularly, the filter method evaluates the Kullback–Leibler divergence between all kernels’ distributions and hypothesizes that similar kernels can be discarded as they do not convey relevant information. This hypothesis was confirmed through the experiments performed on four standard datasets, where it was observed that the number of kernels can be reduced without meaningfully affecting the performance. This analysis was based on the accuracy of the model when the selected kernels fed a probabilistic classifier and the feature-based similarity index to appraise the quality of the reconstructed images when the variational autoencoder only uses the selected kernels. Therefore, the proposed methodology guides the reduction of the number of parameters of the model, making it suitable for developing applications for resource-constrained devices.","PeriodicalId":38479,"journal":{"name":"Information (Switzerland)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135888870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders 近似加法器的数据和应用感知误差分析方法

Information (Switzerland) Pub Date : 2023-10-17 DOI: 10.3390/info14100570

Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique

{"title":"DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders","authors":"Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique","doi":"10.3390/info14100570","DOIUrl":"https://doi.org/10.3390/info14100570","url":null,"abstract":"Approximate adders are some of the fundamental arithmetic operators that are being employed in error-resilient applications, to achieve performance/energy/area gains. This improvement usually comes at the cost of some accuracy and, therefore, requires prior error analysis, to select an approximate adder variant that provides acceptable accuracy. Most of the state-of-the-art error analysis techniques for approximate adders assume input bits and operands to be independent of one another, while some also assume the operands to be uniformly distributed. In this paper, we analyze the impact of these assumptions on the accuracy of error estimation techniques, and we highlight the need to address these assumptions, to achieve better and more realistic quality estimates. Based on our analysis, we propose DAEM, a data- and application-aware error analysis methodology for approximate adders. Unlike existing error analysis models, we neither assume the adder operands to be uniformly distributed nor assume them to be independent. Specifically, we use 2D joint input probability mass functions (PMFs), populated using sample data, in order to incorporate the data and application knowledge in the analysis. These 2D joint input PMFs, along with 2D error maps of approximate adders, are used to estimate the error PMF of an adder network. The error PMF is then utilized to compute different error measures, such as the mean squared error (MSE) and mean error distance (MED). We evaluate the proposed error analysis methodology on audio and video processing applications, and we demonstrate that our methodology provides error estimates having a better correlation with the simulation results, as compared to the state-of-the-art techniques.","PeriodicalId":38479,"journal":{"name":"Information (Switzerland)","volume":"34 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135994561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An AI-Based Framework for Translating American Sign Language to English and Vice Versa 基于人工智能的美英手语翻译框架

Information (Switzerland) Pub Date : 2023-10-15 DOI: 10.3390/info14100569

Vijayendra D. Avina, Md Amiruzzaman, Stefanie Amiruzzaman, Linh B. Ngo, M. Ali Akber Dewan

引用次数: 0

Investigating the Relationship of User Acceptance to the Characteristics and Performance of an Educational Software in Byzantine Music 用户接受度与拜占庭音乐教育软件特性和性能的关系研究

Information (Switzerland) Pub Date : 2023-10-15 DOI: 10.3390/info14100568

Konstantinos-Hercules Kokkinidis, Georgios Patronas, Sotirios K. Goudos, Theodoros Maikantis, Nikolaos Nikolaidis

{"title":"Investigating the Relationship of User Acceptance to the Characteristics and Performance of an Educational Software in Byzantine Music","authors":"Konstantinos-Hercules Kokkinidis, Georgios Patronas, Sotirios K. Goudos, Theodoros Maikantis, Nikolaos Nikolaidis","doi":"10.3390/info14100568","DOIUrl":"https://doi.org/10.3390/info14100568","url":null,"abstract":"The purpose of this study is to examine the impact of educational software characteristics on software performance through the mediating role of user acceptance. Our approach allows for a deeper understanding of the factors that contribute to the effectiveness of educational software by bridging the fields of educational technology, psychology, and human–computer interaction, offering a holistic perspective on software adoption and performance. This study is based on a sample collected from public and private education institutes in Northern Greece and on data obtained from 236 users. The statistical method employed is structural equation models (SEMs), via SPSS—AMOS estimation. The findings of this study suggest that user acceptance and performance appraisal are exceptionally interrelated in regard to educational applications. The study argues that user acceptance is positively related to the performance of educational software and constitutes the nested epicenter mediating construct in the educational software characteristics. Additional findings, such as computer-familiar users and users from the field of choral music, are positively related to the performance of the educational software. Our conclusions help in understanding the psychological and behavioral aspects of technology adoption in the educational setting. Findings are discussed in terms of their practical usefulness in education and further research.","PeriodicalId":38479,"journal":{"name":"Information (Switzerland)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136184506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated Assessment of Comprehension Strategies from Self-Explanations Using LLMs 基于llm的自我解释理解策略的自动评估

Information (Switzerland) Pub Date : 2023-10-14 DOI: 10.3390/info14100567

Bogdan Nicula, Mihai Dascalu, Tracy Arner, Renu Balyan, Danielle S. McNamara

引用次数: 0

Multi-Beam Radar Communication Integrated System Design 多波束雷达通信集成系统设计

Information (Switzerland) Pub Date : 2023-10-14 DOI: 10.3390/info14100566

Hao Ma, Jun Wang, Xin Sun, Wenxin Jin

引用次数: 0