Proceedings of the 1st International Conference on Advanced Information Science and System最新文献

Modulation spectrum augmentation for robust speech recognition 鲁棒语音识别的调制频谱增强

Proceedings of the 1st International Conference on Advanced Information Science and System Pub Date : 2019-11-15 DOI: 10.1145/3373477.3373695

Bi-Cheng Yan, Shih-Hung Liu, Berlin Chen

{"title":"Modulation spectrum augmentation for robust speech recognition","authors":"Bi-Cheng Yan, Shih-Hung Liu, Berlin Chen","doi":"10.1145/3373477.3373695","DOIUrl":"https://doi.org/10.1145/3373477.3373695","url":null,"abstract":"Data augmentation is a crucial mechanism being employed to increase the diversity of training data in order to avoid overfitting and improve robustness of statistical models in various applications. In the context of automatic speech recognition (ASR), a recent trend has been to develop effective methods to augment training speech data by warping or masking utterances based on their waveforms or spectrograms. Extending this line of research, we make attempts to explore novel ways to generate augmented training speech data, in comparison to the existing state-of-the-art approaches. The main contribution of this paper is at least two-fold. First, we propose to warp the intermediate representation of the cepstral feature vector sequence of an utterance in a holistic manner. This intermediate representation can be embodied in different modulation domains by performing discrete Fourier transform (DFT) along the either the time- or the component-axis of a cepstral feature vector sequence. Second, we also develop a two-stage augmentation approach, which successively conduct perturbation in the waveform domain and warping in different modulation domains of cepstral speech feature vector sequences, to further enhance robustness. A series of experiments are carried out on the Aurora-4 database and task, in conjunction with a typical DNN-HMM based ASR system. The proposed augmentation method that conducts warping in the component-axis modulation domain of cepstral feature vector sequences can yield a word error rate reduction (WERR) of 17.6% and 0.69%, respectively, for the clean-and multi-condition training settings. In addition, the proposed two-stage augmentation method can at best achieve a WERR of 1.13% when using the multi-condition training setup.","PeriodicalId":300431,"journal":{"name":"Proceedings of the 1st International Conference on Advanced Information Science and System","volume":"59 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132770043","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: 1

Rank-consistency-based multi-view learning with Universum Universum基于排名一致性的多视图学习

Proceedings of the 1st International Conference on Advanced Information Science and System Pub Date : 2019-11-15 DOI: 10.1145/3373477.3373700

Changming Zhu, Panhong Wang, D. Miao, Rigui Zhou

引用次数: 0

Design and implementation of database encryption system for cloud environment 云环境下数据库加密系统的设计与实现

Proceedings of the 1st International Conference on Advanced Information Science and System Pub Date : 2019-11-15 DOI: 10.1145/3373477.3373502

Luwei Zhang, Tianyu Li, Huang Jun, Dongmin Li, Bei Zhu, Jing Li

引用次数: 0

An empirical investigation of information quality on Saudi Arabia's government services on smart device 沙特阿拉伯智能设备政府服务信息质量实证研究

Proceedings of the 1st International Conference on Advanced Information Science and System Pub Date : 2019-11-15 DOI: 10.1145/3373477.3373488

I. Zamzami

引用次数: 0

Real-time dynamic data desensitization method based on data stream 基于数据流的实时动态数据脱敏方法

Proceedings of the 1st International Conference on Advanced Information Science and System Pub Date : 2019-11-15 DOI: 10.1145/3373477.3373499

Bing Tian, Shuqi Lv, Qilin Yin, Ning Li, Yue Zhang, Ziyan Liu

{"title":"Real-time dynamic data desensitization method based on data stream","authors":"Bing Tian, Shuqi Lv, Qilin Yin, Ning Li, Yue Zhang, Ziyan Liu","doi":"10.1145/3373477.3373499","DOIUrl":"https://doi.org/10.1145/3373477.3373499","url":null,"abstract":"With the rapid development of the data mining industry, the value hidden in the massive data has been discovered, but at the same time it has also raised concerns about privacy leakage, leakage of sensitive data and other issues. These problems have also become numerous studies. Among the methods for solving these problems, data desensitization technology has been widely adopted for its outstanding performance. However, with the increasing scale of data and the increasing dimension of data, the traditional desensitization method for static data can no longer meet the requirements of various industries in today's environment to protect sensitive data. In the face of ever-changing data sets of scale and dimension, static desensitization technology relies on artificially designated desensitization rules to grasp the massive data, and it is difficult to control the loss of data connotation. In response to these problems, this paper proposes a real-time dynamic desensitization method based on data flow, and combines the data anonymization mechanism to optimize the data desensitization strategy. Experiments show that this method can efficiently and stably perform real-time desensitization of stream data, and can save more information to support data mining in the next steps.","PeriodicalId":300431,"journal":{"name":"Proceedings of the 1st International Conference on Advanced Information Science and System","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126750601","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

NARX model identification for analysing Amazon vegetation under climate change 气候变化下亚马逊河流域植被分析的NARX模型辨识

Proceedings of the 1st International Conference on Advanced Information Science and System Pub Date : 2019-11-15 DOI: 10.1145/3373477.3373701

Angesh Anupam

{"title":"NARX model identification for analysing Amazon vegetation under climate change","authors":"Angesh Anupam","doi":"10.1145/3373477.3373701","DOIUrl":"https://doi.org/10.1145/3373477.3373701","url":null,"abstract":"The Amazon rainforest is a critical landscape and harbours a wide range of biodiversity. This is considered to be one of the largest sink for anthropogenic carbon sequestration on the Earth. Undoubtably, any substantial variation in the vegetation of this basin have tremendous impact upon the carbon absorption. Nonetheless, the impact of changing climate on the Amazon rainforest further complicates the matter. This study, for the first time, utilises the system identification method, under a wider realm of machine learning, for modelling the nonlinear dynamical relationship among the Leaf Area Index (LAI) and surface temperature for an Amazon rainforest site. The chosen model structure is Nonlinear Autoregressive with Exogenous Inputs (NARX). The training and testing datasets involved in this study correspond to the NASA Earth Observations. On contrary to the existing modelling methods performed for the Amazon, this data driven method results into a parsimonious model structure consisting of autoregressive terms as well as time lagged surface temperature. It therefore gives a deeper insights about the effects of temperature variation on the Amazon vegetation, emboldening the potential management of this crucial rainforest. A temperature dependent model also facilitates the forecasting under the various scenarios of the Intergovernmental Panel on Climate Change (IPCC).","PeriodicalId":300431,"journal":{"name":"Proceedings of the 1st International Conference on Advanced Information Science and System","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114845600","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: 1

Block-regressed face alignment algorithm based on supervised descent method 基于监督下降法的分块回归人脸对齐算法

Proceedings of the 1st International Conference on Advanced Information Science and System Pub Date : 2019-11-15 DOI: 10.1145/3373477.3373697

Yuqi Shi

引用次数: 0

Attitude of international tourist towards ICT and digital services in tourism industry of nepal 国际游客对尼泊尔旅游业中ICT和数字服务的态度

Proceedings of the 1st International Conference on Advanced Information Science and System Pub Date : 2019-11-15 DOI: 10.1145/3373477.3373487

Wenan Tan, Deepanjal Shrestha, Deepmala Shrestha, S. Jeong

{"title":"Attitude of international tourist towards ICT and digital services in tourism industry of nepal","authors":"Wenan Tan, Deepanjal Shrestha, Deepmala Shrestha, S. Jeong","doi":"10.1145/3373477.3373487","DOIUrl":"https://doi.org/10.1145/3373477.3373487","url":null,"abstract":"Tourism is the second biggest industry of Nepal and it serves as the primary source of business and employment in the country. The ICT boom around the globe has a poor state in Nepal and the country lacks behind in digital service implementations. The global pressure has forced Nepalese tourism industry and Government organizations to implement ICT to overcome global competition and meet the rising demands. These implementations lack the study and empirical evidence of consumers (International Tourist) attitude and point of view, therefore, this work carries a great significance. The work explores the attitude of International tourist for perceived risk, perceived usefulness, and perceived case of use of ICT technologies for adoption in Nepalese context. We employ exploratory research methodology with descriptive statistics to investigate the subject under consideration. A sample size of 150 international tourists based on convenience sampling is taken as primary source of data, supplemented by secondary sources which consist of reports, projects, publications and closed group interview of tourism officials and business men. The study helps Small and Medium Size Enterprises (SMEs) and business houses of Nepal to devise plans and strategies for growth and implementations in ICT and Digital services. The study also fulfills the gap in the literature and serves as a knowledge base for tourism officials, business houses, policy makers, bankers, digital companies, tourism authorities and consumers.","PeriodicalId":300431,"journal":{"name":"Proceedings of the 1st International Conference on Advanced Information Science and System","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131569448","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

Research and development of intelligent safe storage cabinet management system 智能保险箱柜体管理系统的研究与开发

Proceedings of the 1st International Conference on Advanced Information Science and System Pub Date : 2019-11-15 DOI: 10.1145/3373477.3373482

Jian Zheng, Zhiyi Chen

{"title":"Research and development of intelligent safe storage cabinet management system","authors":"Jian Zheng, Zhiyi Chen","doi":"10.1145/3373477.3373482","DOIUrl":"https://doi.org/10.1145/3373477.3373482","url":null,"abstract":"This paper mainly takes the present safe storage cabinet as the research object, carries on the research and the development. Through communicating requirements with enterprises, a set of intelligent safe storage cabinet management system developed to realize centralized management of safe storage cabinet and solve the problem of integrated control of chemical management information and detection information of multiple safe storage cabinets. The system consists of hardware and software. The main functions of the software are various gas detection, temperature and humidity detection, personnel management, chemical use management, alarm and related equipment control. The hardware mainly consists of control center, access control identification, security storage cabinet control, air conditioning control, filtering, and exhaust control and alarm device. The intelligent safety storage cabinet management system solves the complexity of chemical management in large chemical enterprises and greatly improves the work efficiency. With high safety and reliability, the system can understand the status of each storage cabinet in the chemical warehouse in real time and deal with emergencies in time. In the realization of chemical role of information management. The intelligent management of safe storage cabinets in chemical warehouses can achieve real-time control and other aspects have certain innovation.","PeriodicalId":300431,"journal":{"name":"Proceedings of the 1st International Conference on Advanced Information Science and System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131122407","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

Impacts of adversarial inputs in associative memory models and its iterative learning variants 对抗性输入对联想记忆模型及其迭代学习变体的影响

Proceedings of the 1st International Conference on Advanced Information Science and System Pub Date : 2019-11-15 DOI: 10.1145/3373477.3373698

V. Venkoparao, Saurav Musunuru, R. Dubey

引用次数: 0