2021 8th NAFOSTED Conference on Information and Computer Science (NICS)最新文献_第5页

Modified CNN model-based Forgery Detection applied to Multiple-Resolution Tampered Images 基于改进CNN模型的多分辨率篡改图像伪造检测

2021 8th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2021-12-21 DOI: 10.1109/NICS54270.2021.9701560

T. Le-Tien, Duy Ho-Van, Nhu Pham-Ng-Quynh, Hanh Phan-Xuan, Tuan Nguyen-Thanh

引用次数: 1

A Cost-Effective High-Performance Conducted Emission Test Solution to Comply with MIL-STD-461F/G Standard 符合MIL-STD-461F/G标准的高性价比高性能传导辐射测试解决方案

2021 8th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2021-12-21 DOI: 10.1109/NICS54270.2021.9701470

Nam Nguyen-Tat, Luong Nguyen-Xuan, Thanh Nguyen

引用次数: 0

A Low Complexity Detector For Two-Way Relay Stations in Wireless MIMO-SDM-PNC Systems 一种用于无线MIMO-SDM-PNC系统双向中继站的低复杂度检测器

2021 8th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2021-12-21 DOI: 10.1109/NICS54270.2021.9701485

Minh Le Nguyen, X. Tran, Vu-Duc Ngo, Quang-Kien Trinh

引用次数: 1

VNAnomaly: A novel Vietnam surveillance video dataset for anomaly detection VNAnomaly:一个新的越南监控视频数据集，用于异常检测

2021 8th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2021-12-21 DOI: 10.1109/NICS54270.2021.9701540

Tu N. Vu, T. T. Dinh, Nguyen D. Vo, T. Tran, Khang Nguyen

引用次数: 1

Aquaculture Environment Prediction Based on Improved LSTM Deep Learning Model 基于改进LSTM深度学习模型的水产养殖环境预测

2021 8th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2021-12-21 DOI: 10.1109/NICS54270.2021.9701532

Vinh Tran-Quang, Anh Ha-Ngoc

{"title":"Aquaculture Environment Prediction Based on Improved LSTM Deep Learning Model","authors":"Vinh Tran-Quang, Anh Ha-Ngoc","doi":"10.1109/NICS54270.2021.9701532","DOIUrl":"https://doi.org/10.1109/NICS54270.2021.9701532","url":null,"abstract":"In aquaculture, there is always a potential risk of changing the water environment, hindering the growth of aquatic products, or even causing mass death, causing great damage to farmers. Therefore, it is vital to predict the quality of water resources early. A lot of methods have been introduced, including SVM, GM, RNN. These methods focus only on forecasting water quality in general, as well as fewer diversity of forecasting parameters, but do not focus on water characteristics in aquaculture. In this paper, we propose an aquaculture environment prediction based on an improved LSTM (long-short-term memory network) deep learning model. We conduct a characteristic analysis of the environmental parameters of lobster culture. Then use these features to improve the traditional LSTM model to improve the accuracy of the prediction model. The data used to train and test the proposed model are exploited from the actual set of environmental parameters measurement data for lobster farming of the environmental monitoring center in the Xuan Dai bay area, Phu Yen province, Vietnam. The prediction results of the improved LSTM model are compared with those of the RNN models. The results show that the improved LSTM model performs more accurate predictions of changes in aquatic environmental parameters than other compared solutions.","PeriodicalId":296963,"journal":{"name":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"79 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131894415","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: 3

A Personalized Adaptive Algorithm for Sleep Quality Prediction using Physiological and Environmental Sensing Data 基于生理和环境感知数据的个性化睡眠质量预测自适应算法

2021 8th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2021-12-21 DOI: 10.1109/NICS54270.2021.9700990

Nguyen Thi Phuoc Van, Dao Minh Son, K. Zettsu

{"title":"A Personalized Adaptive Algorithm for Sleep Quality Prediction using Physiological and Environmental Sensing Data","authors":"Nguyen Thi Phuoc Van, Dao Minh Son, K. Zettsu","doi":"10.1109/NICS54270.2021.9700990","DOIUrl":"https://doi.org/10.1109/NICS54270.2021.9700990","url":null,"abstract":"The lacking data from wearable sensors to solve different problems in the healthcare area is obvious since it is not easy to find enough volunteers to collect data. Moreover, human reacts very differently to medical treatment/ exercise levels/ stress and so on. Therefore, we need an advanced prediction model which can reuse the public data and can be adapt to personal data to predict health parameters. This paper introduces a solution for this issue. We present a novel personalized adaptive algorithm based on ensemble learning to predict sleeping efficiency, the proposed framework can be extended to solve many problems in healthcare applications. In this work, the global model is built based on ensemble learning with common features from all clients. The global model is then combined with the model from the client with more personalized features. The client model will learn and be updated model every day. Our proposed framework was tested in two data sets PMData and another private data set and showed better results than the conventional method. The proposed algorithm/ framework is a great step to solve the prediction problem in healthcare since each person has their own characteristics, responds differently to treatments/environment/stressful levels. The proposed algorithm is a big enhancement in building a health navigator system to enhance human health.","PeriodicalId":296963,"journal":{"name":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132345796","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: 2

Keynote Talk #1 : Cryscanner: Finding Cryptographic Libraries Misuse 主题演讲#1:Cryscanner:查找加密库误用

2021 8th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2021-12-21 DOI: 10.1109/NICS54270.2021.9701578

S. Guilley

引用次数: 0

LS-SPP: A LSTM-Based Solar Power Prediction Method from Weather Forecast Information LS-SPP:基于lstm的基于天气预报信息的太阳能发电预测方法

2021 8th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2021-12-21 DOI: 10.1109/NICS54270.2021.9701529

Nhat-Tuan Pham, Nhu-Y Tran-Van, Kim-Hung Le

引用次数: 1

Assessing a Voice-Based Conversational AI prototype for Banking Application 评估基于语音的银行应用会话AI原型

2021 8th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2021-12-21 DOI: 10.1109/NICS54270.2021.9701536

Chinmoy Deka, S. Sah, Abhishek Shrivastava, Mridumoni Phukon, Lipsa Routray

{"title":"Assessing a Voice-Based Conversational AI prototype for Banking Application","authors":"Chinmoy Deka, S. Sah, Abhishek Shrivastava, Mridumoni Phukon, Lipsa Routray","doi":"10.1109/NICS54270.2021.9701536","DOIUrl":"https://doi.org/10.1109/NICS54270.2021.9701536","url":null,"abstract":"Conversational AI has tremendous potential in different application domains due to its rapid development and improved accuracy in recognizing natural languages. Researchers have developed numerous applications and have shown state-of-the-art results. However, acceptability by users for such Conversational AI applications is imperative for successful deployment. This paper aims to assess a Conversational AI for a banking application in terms of usability, attractiveness, and intuitiveness. For this purpose, two different prototype versions were developed with varying dialog design and visual backgrounds. The experiment was conducted by letting 40 participants interact with the prototype versions, exploiting the Wizard-of-Oz (WoZ) paradigm, and administering three questionnaires to measure their perception of the Conversational AI prototype. Qualitative and Quantitative assessment of the questionnaires suggests that the Conversational AI prototype is highly usable, attractive, and intuitive, providing evidence that users will appreciate such Conversational AI in banking applications.","PeriodicalId":296963,"journal":{"name":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115680205","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 Augmented Embedding Spaces approach for Text-based Image Captioning 基于文本的图像字幕的增强嵌入空间方法

2021 8th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2021-12-21 DOI: 10.1109/NICS54270.2021.9701576

Doanh C. Bui, Truc Trinh, Nguyen D. Vo, Khang Nguyen

引用次数: 0