Journal of Science and Technology Issue on Information and Communications Technology最新文献_第7页

Lightweight face mask detection and face recognition 轻量级的人脸检测和人脸识别

Journal of Science and Technology Issue on Information and Communications Technology Pub Date : 2022-06-30 DOI: 10.31130/ud-jst.2022.243ict

T. Ho-Phuoc, Hanh T. M. Tran, Duc Hoang Xuan, Tuan Dao-Duy, Hoang Le Uyen Thuc

引用次数: 0

Cash flows – investment sensitivity under financial constraints: The case of Vietnam 现金流-金融约束下的投资敏感性:越南案例

Journal of Science and Technology Issue on Information and Communications Technology Pub Date : 2022-06-30 DOI: 10.31130/ud-jst.2022.050

Thai Thi Hong An, Ha Le Hong Ngoc Thai

引用次数: 0

Ensemble of Convolution Neural Networks for Improving Automatic Modulation Classification Performance 改进自动调制分类性能的卷积神经网络集成

Journal of Science and Technology Issue on Information and Communications Technology Pub Date : 2022-06-30 DOI: 10.31130/ud-jst.2022.293e

Ha-Khanh Le, Van-Sang Doan, Van‐Phuc Hoang

{"title":"Ensemble of Convolution Neural Networks for Improving Automatic Modulation Classification Performance","authors":"Ha-Khanh Le, Van-Sang Doan, Van‐Phuc Hoang","doi":"10.31130/ud-jst.2022.293e","DOIUrl":"https://doi.org/10.31130/ud-jst.2022.293e","url":null,"abstract":"This paper investigates convolutional neural networks (CNN) to classify 26 types of signal modulation under the influence of five different fading channels and Gausian noise with SNR from -20 dB to +18 dB. Specifically, five CNN models, including ResNet18, SqueezeNet, GoogleNet, MobileNet, and RepVGG, are taken into account for a accuracy competition to discover the best one. As a result, the SqueezeNet model achieves the highest accuracy of 97.5% for the SNR value of +8~dB. Based on the evaluation results of the single models, we propose an ensemble learning approach, which integrate some robust networks to improve classification accuracy. The numerical results show that ensemble learning can improve the automatic modulation classification accuracy compared to those single models. Specifically, the ensemble learning model gains the accuracy of 52.7% at the SNR of -20 dB and 77% at the SNR of -2 dB. In addition, three types of ensemble methods are considered for analysis and comparison. Consequently, the weighted ensemble provides a better performance in terms of accuracy than unweighted one.","PeriodicalId":262140,"journal":{"name":"Journal of Science and Technology Issue on Information and Communications Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123001644","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

Superposition Principle-based Method for Power Loss Allocation in Power Systems 基于叠加原理的电力系统功率损耗分配方法

Journal of Science and Technology Issue on Information and Communications Technology Pub Date : 2022-06-30 DOI: 10.31130/ud-jst.2022.041e

Dương Duy Long, Nguyen Tuan Anh, Phạm Năng Văn

引用次数: 0

The moderating role of perceived CSR messages on the relationship between e-WOM and online customer trust 感知企业社会责任信息对电子口碑与在线客户信任关系的调节作用

Journal of Science and Technology Issue on Information and Communications Technology Pub Date : 2022-06-30 DOI: 10.31130/ud-jst.2022.099

Nguyen Hong Quan Nguyen, Pham Lan Huong Pham, Pham Thai Ha Pham, Tran Hong Ha Tran, Ha Minh Ngoc Ha, Le Thi Hong Loan Le

引用次数: 0

Market competition and earnings management: Evidence from Vietnam 市场竞争与盈余管理:来自越南的证据

Journal of Science and Technology Issue on Information and Communications Technology Pub Date : 2022-06-30 DOI: 10.31130/ud-jst.2022.103e

Doan Nguyen Trang Phuong Doan

引用次数: 0

Improve job experiences prediction with attention mechanism 利用注意机制改进工作经验预测

Journal of Science and Technology Issue on Information and Communications Technology Pub Date : 2022-06-30 DOI: 10.31130/ud-jst.2022.105e

Truong Dinh Thien, Ton Hoang Nguyen

{"title":"Improve job experiences prediction with attention mechanism","authors":"Truong Dinh Thien, Ton Hoang Nguyen","doi":"10.31130/ud-jst.2022.105e","DOIUrl":"https://doi.org/10.31130/ud-jst.2022.105e","url":null,"abstract":"Employee in the information technology domain is extremely active in their career. In that case, the company usually deals with human resource exhaustion. The understanding of their job mobility is useful for the company in a variety of ways, for example, employee recruitment, employee retention. While most studies focus on predicting the next job title or job recommendation based on previous experiences, the problem of forecast duration of employees working on the company at the individual level receives little attention. Moreover, previous methods treat the information from different experiences as similarly important so they cannot utilize the potential connection between experiences. To solve the above problems, we contribute a new model with attention mechanism. In particular, the attention mechanisms give more understanding to learned representations and give better results. We also predict next job title duration. Different from previous works, our model can effectively utilize the previous employee experiences and flexibly adapts to the information of different importance. Our methods are applied for 10.000 real-world employee profiles and show significant results that outperform the strong baseline model and other state-of-the-art methods.","PeriodicalId":262140,"journal":{"name":"Journal of Science and Technology Issue on Information and Communications Technology","volume":"2022 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128073821","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

The prediction of pKa values for phenolic compounds by the DFT theory 用DFT理论预测酚类化合物的pKa值

Journal of Science and Technology Issue on Information and Communications Technology Pub Date : 2022-06-30 DOI: 10.31130/ud-jst.2022.047e

Nguyen Thi Nguyen

{"title":"The prediction of pKa values for phenolic compounds by the DFT theory","authors":"Nguyen Thi Nguyen","doi":"10.31130/ud-jst.2022.047e","DOIUrl":"https://doi.org/10.31130/ud-jst.2022.047e","url":null,"abstract":"The acid dissociation constant is an important parameter that affects the physicochemical properties of molecules in solution. A set of 20 phenolic compounds were used to establish a model to predict values of phenolic compounds. Calculations in aqueous medium were performed with a polarizable continuum solvent model (PCM) and three hybrid DFT functionals (B3LYP, PBE0, ωB97XD and M062X) with the basis set 6-311++G(d,p). The directly calculated value of gives less accurate results with an average absolute error (MAE) of 1.74 units when using the ωB97XD functional and phenol as reference compound. In the case of using statistical correction, the accuracy of is greatly improved. In the case of using statistical correction, the accuracy of is greatly improved with the lowest MAE value of 0.14 units (M062X; ). The calculated results of in this study have the same accuracy as the experimental measurements.The acid dissociation constant is an important parameter that affects the physicochemical properties of molecules in solution. A set of 20 phenolic compounds were used to establish a model to predict values of phenolic compounds. Calculations in aqueous medium were performed with a polarizable continuum solvent model (PCM) and three hybrid DFT functionals (B3LYP, PBE0, ωB97XD and M062X) with the basis set 6-311++G(d,p). The directly calculated value of gives less accurate results with an average absolute error (MAE) of 1.74 units when using the ωB97XD functional and phenol as reference compound. In the case of using statistical correction, the accuracy of is greatly improved. In the case of using statistical correction, the accuracy of is greatly improved with the lowest MAE value of 0.14 units (M062X; ). The calculated results of in this study have the same accuracy as the experimental measurements.","PeriodicalId":262140,"journal":{"name":"Journal of Science and Technology Issue on Information and Communications Technology","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129755002","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

Phase diagram of graphene in the presence of spin-orbit coupling and electron-electron interaction 石墨烯在自旋轨道耦合和电子-电子相互作用下的相图

Journal of Science and Technology Issue on Information and Communications Technology Pub Date : 2022-06-30 DOI: 10.31130/ud-jst.2022.094e

T. Phùng, Nguyen Thi Mai, Pham Thi Lien, Nguyen Thanh Tung Nguyen, Ngo Thi My Binh Ngo

引用次数: 0

Applying Neural Network And Levenberg - Marquardt Algorithm for Load Forecasting in IA-Grai District, Gia Lai Province 神经网络与Levenberg - Marquardt算法在贵州IA-Grai地区负荷预测中的应用

Journal of Science and Technology Issue on Information and Communications Technology Pub Date : 2022-06-30 DOI: 10.31130/ud-jst.2022.240ict

Quang-Huy Giap, D. L. Nguyen, Thi-Thanh-Quynh Nguyen, Thi Minh Hang Tran

引用次数: 2