检索结果-内蒙古大学图书馆

International Conference on Intelligent Systems and Networks, ICISN 2024

作者： Le, Duc Minh Department of Information Technology FPT University Swinburne Vietnam Hanoi Viet Nam

ISBN: (纸本)9789819755035

JSON has not only become a de factor language for data exchange between distributed systems but commonly been used as the intermediate configuration format in those systems. On the other hand, annotations have extensively been used as the intermediate metadata sublanguage of object-oriented programming languages in various generative software development (GSD) scenarios. However, existing works have not formally addressed the mapping between JSON and annotations and how such mapping is used in GSD. In this paper, we bridge this gap by matching JSON and annotations and formalising the resulted mapping in terms of a set of primitive transformation operators between the two languages. We use UML/OCL to construct syntax models of the two languages and match these models to identify mapping rules. We also semi-formalise design specifications of the operators. We demonstrate the effectiveness of JSONA using two GSD case studies: (1) SPA generation and (2) design pattern application. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Annotations Generative Software Development JSON object oriented programming languages

来源：评论

学校读者我要写书评

暂无评论

Model-based, Platform-independent Logging for Heterogeneous Targets 22

Model-based, Platform-independent Logging for Heterogeneous ...

引用

22nd ACM/IEEE International Conference on Model Driven Engineering languages and Systems (MODELS)

作者： Morin, Brice Ferry, Nicolas SINTEF Digital Oslo Norway

ISBN: (纸本)9781728125350

A recurring issue in generative approaches, in particular if they generate code for multiple target languages, is logging. How to ensure that logging is performed consistently for all the supported languages? How to ensure that the specific semantics of the source language, e.g. a modeling language or a domain-specific language, is reflected in the logs? How to expose logging concepts directly in the source language, so as to let developers specify what to log? This paper reports on our experience developing a concrete logging approach for ThingML, a textual modeling language built around asynchronous components, statecharts and a first-class action language, as well as a set of "compilers" targeting C, Go, Java and JavaScript.

关键词： original language logging modelling languages Language object oriented programming languages platform-independent logs Java Java programming language Targets

来源：评论

学校读者我要写书评

暂无评论

Design Patterns for Gas Optimization in Ethereum

Design Patterns for Gas Optimization in Ethereum

引用

International Workshop on Blockchain oriented Software Engineering (IWBOSE)

作者： Lodovica Marchesi Michele Marchesi Giuseppe Destefanis Giulio Barabino Danilo Tigano DMI University of Cagliari Cagliari Italy Computer Science Brunel University London United Kingdom DITEN University of Genova Genova

ISBN: (数字)9781728162782

ISBN: (纸本)9781728162799

Blockchain technology is an emerging technology that allows new forms of decentralized architectures, designed to generate trust among users, without the intervention of mediators or knowledge between the parties. Since 2015, thanks to the introduction of Smart Contracts by Ethereum, it is possible to run programs on the blockchain, greatly extending the potential of this technology. The programming of Smart Contract, through the Solidity language is different from the traditional one. First of all, any action that requires to modify the blockchain costs gas, which corresponds to a fraction of the currency used by that given blockchain, and therefore to real money. Gas optimization is a unique challenge in this context and has obvious implications. This document aims to provide a set of design patterns and tips to help gas saving in developing Smart Contracts on Ethereum. The provided patterns are presented divided into five main categories, based on their features.

关键词： contracts electronic money object-oriented languages peer-to-peer computing contract Peer to peer computing object oriented programming languages design pattern Gases Money

来源：评论

学校读者我要写书评

暂无评论

Messages must be tuned to the target language: Some implications of crosslinguistic semantic diversity for neurolinguistic research on speech production

引用

JOURNAL OF NEUROLINGUISTICS 2019年 52卷 100861-000页

作者： Kemmerer, David Purdue Univ Dept Speech Language & Hearing Sci Lyles Porter Hall715 Clin Dr W Lafayette IN 47907 USA

There are nearly 6,500 languages in the world, and they vary greatly with regard to both lexical and grammatical semantics. Hence, an early stage of utterance planning involves "thinking for speaking"-i.e., shaping the thoughts to be expressed so they fit the idiosyncratic meanings of the symbolic units that happen to be available in the target language. This paper has three main sections that cover three distinct types of crosslinguistic semantic diversity. Each type is initially elaborated with examples, and then its implications for the neurobiology of speech production are considered. Type 1: Semantic field partitions. These are exemplified by huge crosslinguistic differences in many domains of meaning, including colors, body parts, household containers, events of cutting and breaking, and topological spatial relations. When such differences are viewed from the perspective of contemporary neurocognitive theories which assume that most concrete concepts are subserved by both modal (i.e., sensory, motor, and affective) and transmodal (i.e., integrative) cortical systems, they imply that speakers must access language-specific semantic structures at multiple levels of representation in the brain. Type 2: Semantic conflation classes. Some languages have whole sets of words that systematically encode two or more components of meaning. For instance, in the roughly 53 Athabaskan languages there are no generic verbs like give, carry, or throw;instead, there are entire sets of 9-13 verbs for these kinds of actions, with each set making the same distinctions between the types of objects that are given, carried, or thrown, such as animate objects, round objects, stick-like objects, flat objects, etc. This regular conflation of [action + object] in Athabaskan verb meanings predicts that speakers frequently co-activate both action-related and object-related cortical regions in a functionally integrated fashion. Type 3: Grammatically obligatory semantic categories. This kind o

关键词： Semantics Messages object oriented programming languages Speech Speech Production Measurement Language Loudspeakers artificial speech production

来源：评论

学校读者我要写书评

暂无评论

Reverse Engineering of Relational Database Schema to UML Model

Reverse Engineering of Relational Database Schema to UML Mod...

引用

IEEE UP Section Conference on Electrical Computer and Electronics (UPCON)

作者： Nida Iftekhar Misbahur Rahman Warsi Sherin Zafar Samia Khan Siddhartha Sankar Biswas Jamia Hamdard New Delhi India Aligarh Muslim University Aligarh India

ISBN: (纸本)9781728134567

For the evolution and maintenance of legacy systems, it is essential that they are reverse engineered. It is becoming important because in many Legacy systems, suitable documentation is not available which makes maintenance. The proposed approach extracts hidden information which is useful for maintaining a software. Application modeling and data modeling are essential for the development of the software and are used for designing application and database separately. Generally, in software systems application layer is the object-oriented programming language and database is the backend store. Modeling of these layers separately creates inconsistency. This paper proposes a technique to reverse engineer the database schema to UML model which will incorporate modeling of an object-oriented technology on top of purely relational database. Using this conversion of database schema to UML diagram, the gap between these layers is being bridged. It will provide the understanding of the legacy system in a better way. The database schema is converted into XMI format which can be imported in a UML modeling tool. The proposed approach converts the SQL database schema as well as more frequently used SELECT statements for the schema into UML model which is in the form of XMI. By importing the generated XMI file into MagicDraw, UML model is graphically represented.

关键词： data models object-oriented programming relational databases reverse engineering software maintenance SQL Unified Modeling Language UML Reverse engineering Legacy systems database schema Relational databases Software maintenance data models SQL object oriented programming relational database schema schema object orientation object oriented programming languages

来源：评论

学校读者我要写书评

暂无评论

Non-Native Children Speech Recognition Through Transfer Learning

Non-Native Children Speech Recognition Through Transfer Lear...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Marco Matassoni Roberto Gretter Daniele Falavigna Diego Giuliani Center for Information and Communication Technology Fondazione Bruno Kessler via Sommarive 18 Trento (Italy)

ISBN: (纸本)9781538646595

This work deals with non-native children's speech and investigates both multi-task and transfer learning approaches to adapt a multi-language Deep Neural Network (DNN) to speakers, specifically children, learning a foreign language. The application scenario is characterized by young students learning English and German and reading sentences in these second-languages, as well as in their mother language. The paper analyzes and discusses techniques for training effective DNN-based acoustic models starting from children's native speech and performing adaptation with limited non-native audio material. A multi -lingual model is adopted as baseline, where a common phonetic lexicon, defined in terms of the units of the International Phonetic Alphabet (IPA), is shared across the three languages at hand (Italian, German and English);DNN adaptation methods based on transfer learning are evaluated on significant non-native evaluation sets. Results show that the resulting non-native models allow a significant improvement with respect to a mono-lingual system adapted to speakers of the target language.

关键词： Transfer learning Multi-task learning non-native speech recognition children's speech Transfer (Psychology) PARALLEL PROCESSING (COMPUTERS) object oriented programming languages Loudspeakers Speech recognition Introduced species Child English English language phonetics

来源：评论

学校读者我要写书评

暂无评论

Language Transfer of Audio Word2Vec: Learning Audio Segment Representations Without Target Language Data

Language Transfer of Audio Word2Vec: Learning Audio Segment ...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Chia-Hao Shen Janet Y. Sung Hung-Yi Lee National Taiwan University Electrical Engineering Department Harvard University Design Engineering Department

ISBN: (纸本)9781538646595

Audio Word2Vec offers vector representations of fixed dimensionality for variable-length audio segments using Sequence to-sequence Autoencoder (SA). These vector representations are shown to describe the sequential phonetic structures of the audio segments to a good degree, with real world applications such as spoken term detection (STD). This paper examines the capability of language transfer of Audio Word2Vec. We train SA from one language (source language) and use it to extract the vector representation of the audio segments of another language (target language). We found that SA can still catch the phonetic structure from the audio segments of the target language if the source and target languages are similar. In STD, we obtain the vector representations from the SA learned from a large amount of source language data, and found them surpass the representations from naive encoder and SA directly learned from a small amount of target language data. The result shows that it is possible to learn Audio Word2Vec model from high-resource languages and use it on low-resource languages. This further expands the usability of Audio Word2Vec.

关键词： Audio Word2Vec Spoken Term Detection Seq2Seq Autoencoder Language Transfer Audio vector representation object oriented programming languages representations Language Sexually Transmitted Diseases original language

来源：评论

学校读者我要写书评

暂无评论

CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON ENGLISH AND FRENCH

CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Michael Neumann Ngoc Thang Vu University of Stuttgart Germany

ISBN: (纸本)9781538646595

Research on multilingual speech emotion recognition faces the problem that most available speech corpora differ from each other in important ways, such as annotation methods or interaction scenarios. These inconsistencies complicate building a multilingual system. We present results for cross-lingual and multilingual emotion recognition on English and French speech data with similar characteristics in terms of interaction (human-human conversations). Further, we explore the possibility of fine-tuning a pre-trained cross-lingual model with only a small number of samples from the target language, which is of great interest for low-resource languages. To gain more insights in what is learned by the deployed convolutional neural network, we perform an analysis on the attention mechanism inside the network.

关键词： Speech Emotion Recognition Multilingual Cross-lingual CNN Attention emotion recognition Speech object oriented programming languages Multilingualism

来源：评论

学校读者我要写书评

暂无评论

SPEAKER INVARIANT FEATURE EXTRACTION FOR ZERO-RESOURCE languages WITH ADVERSARIAL LEARNING

SPEAKER INVARIANT FEATURE EXTRACTION FOR ZERO-RESOURCE LANGU...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Taira Tsuchiya Naohiro Tawara Testuji Ogawa Tetsunori Kobayashi Department of Communications and Computer Engineering Waseda University Tokyo Japan

ISBN: (纸本)9781538646595

We introduce a novel type of representation learning to obtain a speaker invariant feature for zero-resource languages. Speaker adaptation is an important technique to build a robust acoustic model. For a zero-resource language, however, conventional model-dependent speaker adaptation methods such as constrained maximum likelihood linear regression are insufficient because the acoustic model of the target language is not accessible. Therefore, we introduce a model-independent feature extraction based on a neural network. Specifically, we introduce a multi-task learning to a bottleneck feature-based approach to make bottleneck feature invariant to a change of speakers. The proposed network simultaneously tackles two tasks: phoneme and speaker classifications. This network trains a feature extractor in an adversarial manner to allow it to map input data into a discriminative representation to predict phonemes, whereas it is difficult to predict speakers. We conduct phone discriminant experiments in Zero Resource Speech Challenge 2017. Experimental results showed that our multi-task network yielded more discriminative features eliminating the variety in speakers.

关键词： zero resource speech challenge speaker invariant feature adversarial multi-task learning fMLLR representation learning Loudspeakers object oriented programming languages Feature extraction Acoustic models Language speaker adaptation Phonemes Maximum likelihood linear regression Learning

来源：评论

学校读者我要写书评

暂无评论

ADVERSARIAL MULTILINGUAL TRAINING FOR LOW-RESOURCE SPEECH RECOGNITION

ADVERSARIAL MULTILINGUAL TRAINING FOR LOW-RESOURCE SPEECH RE...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Jiangyan Yi Jianhua Tao Zhengqi Wen Ye Bai National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781538646595

This paper proposes an adversarial multilingual training to train bottleneck (BN) networks for the target language. A parallel shared-exclusive model is also proposed to train the BN network. Adversarial training is used to ensure that the shared layers can learn language-invariant features. Experiments are conducted on IARPA Babel datasets. The results show that the proposed adversarial multilingual BN model outperforms the baseline BN model by up to 8.9% relative word error rate (WER) reduction. The results also show that the proposed parallel shared-exclusive model achieves up to 1.7% relative WER reduction when compared with the stacked share-exclusive model.

关键词： Speech recognition low-resource deep neural networks bottleneck features adversarial multilingual training Speech recognition object oriented programming languages Training TRAIN

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：