2022 9th NAFOSTED Conference on Information and Computer Science (NICS)最新文献_第3页

Implementation of Computer Vision in Low Fidelity Robots: Analysis, Challenges, and Design Implications 计算机视觉在低保真机器人中的实现:分析、挑战和设计启示

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013428

J. Nayeem, Mir Oliul Pasha Taj, Md. Shahria Mahmud, Farha Hossain, A. Arabi

引用次数: 0

An efficient IDS using FIS to detect DDoS in IoT networks 使用FIS检测物联网网络中的DDoS的高效IDS

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013480

Trong-Minh Hoang, Nhat-Hoang Tran, Vu-Long Thai, Dinh-Long Nguyen, Nam-Hoang Nguyen

引用次数: 0

A Blockchain-based Authentication and Access Control for Smart Devices in SDN-enabled Networks for Metaverse 基于区块链的Metaverse sdn支持网络中智能设备的身份验证和访问控制

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013416

Dung Tran Tuan, Phan The Duy, Le Cong Hau, V. Pham

引用次数: 4

Robust hierarchical model for joint span detection and aspect-based sentiment analysis in Vietnamese 越南语联合跨度检测与面向情感分析的鲁棒层次模型

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013463

An Pha Le, T. Pham, T. Le, Duy V. Huynh, D. Ngo

{"title":"Robust hierarchical model for joint span detection and aspect-based sentiment analysis in Vietnamese","authors":"An Pha Le, T. Pham, T. Le, Duy V. Huynh, D. Ngo","doi":"10.1109/NICS56915.2022.10013463","DOIUrl":"https://doi.org/10.1109/NICS56915.2022.10013463","url":null,"abstract":"Recent successes of large pre-trained language models highlighted deep neural networks' potential in solving complicated natural language processing tasks, but some remain unsolved, especially for non-English languages. Two of them are span detection and aspect-based sentiment analysis. The former is a general sequence tagging, and the latter is a hierarchical classification task. Both are challenging in various ways, most notably due to the lack of available resources and effective methods for training. To overcome these drawbacks, this paper introduces a fashionable and robust hierarchical model that learns both tasks simultaneously using a multi-task learning framework for Vietnamese datasets. Our model is trained using a tunable custom task-dependent loss and easily adapted to a wide range of similar tasks. Experimental results showed that our approach is superior to the existing baseline systems and achieved state-of-the-art results. We also make the source code publicly available as a starter kit for further investigation and research11https://github.com/datnnt1997/ViSA.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124313098","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

Optimization of Durability of Edible Spoon Using Design of Experiment Method 用实验设计法优化食用勺子的耐用性

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013412

Quoc-Nguyen Banh, Van-Truc To, Minh-Man Luu, Hai D. Nguyen, V. Dong

引用次数: 0

Foggy-DOTA: An adverse weather dataset for object detection in aerial images Foggy-DOTA:用于航空图像中目标检测的恶劣天气数据集

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013441

Nguyen D. Vo, Phuc Nguyen, Thang Truong, Hoan C. Nguyen, Khang Nguyen

引用次数: 0

Keynote Speaker 2: Enabling Metaverse with Secure and Smart Network Resource Slicing 主讲人2:利用安全和智能网络资源切片实现元宇宙

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013452

E. Dutkiewicz, Diep N. Nguyen

{"title":"Keynote Speaker 2: Enabling Metaverse with Secure and Smart Network Resource Slicing","authors":"E. Dutkiewicz, Diep N. Nguyen","doi":"10.1109/NICS56915.2022.10013452","DOIUrl":"https://doi.org/10.1109/NICS56915.2022.10013452","url":null,"abstract":"Metaverse has recently attracted paramount attention due to its potential for future Internet. However, to fully realize such potential, Metaverse applications have to overcome various challenges such as massive resource demands, interoperability among applications, and security and privacy concerns. In this talk, we first discuss MetaChain, a novel blockchain-based framework to address emerging challenges for the development of Metaverse applications. In particular, by utilizing the smart contract mechanism, MetaChain can effectively manage and automate complex interactions among the Metaverse Service Provider (MSP) and the Metaverse users (MUs). We then proposed a novel framework, namely MetaSlicing, that can provide a highly effective and comprehensive solution in managing and allocating different types of resources for Metaverse applications. Specifically, by observing that Metaverse applications may have common functions, we first propose grouping applications into clusters, called MetaInstances. In a MetaInstance, common functions can be shared among applications. As such, the same resources can be used by multiple applications simultaneously, thereby enhancing resource utilization dramatically. To address the real-time characteristic and resource demand's dynamic and uncertainty in the Metaverse, we develop an effective framework based on the semi-Markov decision process and propose an intelligent admission control algorithm that can maximize resource utilization and enhance the Quality-of-Service for end-users.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130682169","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

Lightweight IoT-Based System for COVID-19 Patient Health Monitoring and Prediction 基于物联网的新型冠状病毒患者健康监测与预测轻量级系统

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013440

Tran Bao Thanh, Tri-Hai Nguyen, Kha-Tu Huynh, T. Le

引用次数: 0

A BERT-based Model for Cloud Filling from Remote Sensing Data 基于bert的遥感数据云填充模型

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013400

Trong-Nghia Nguyen, Thanh Van Le

引用次数: 0

Harvested Energy Maximization for Secure Full-Duplex Multi-User MIMO Networks with Non-linear Energy Harvesting 非线性能量收集安全全双工多用户MIMO网络的能量收获最大化

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013326

Le Ty Khanh, Xuan-Xinh Nguyen, H. H. Kha

{"title":"Harvested Energy Maximization for Secure Full-Duplex Multi-User MIMO Networks with Non-linear Energy Harvesting","authors":"Le Ty Khanh, Xuan-Xinh Nguyen, H. H. Kha","doi":"10.1109/NICS56915.2022.10013326","DOIUrl":"https://doi.org/10.1109/NICS56915.2022.10013326","url":null,"abstract":"This paper is concerned with secure communication in multiuser full-duplex (FD) communication systems with simultaneous wireless information and power transfer (SWIPT). In the considered system, an FD base station (BS) equipped with multiple antennas communicate with both uplink users (ULUs) and downlink users (DLUs) at the same time and in the same frequency while the set of energy harvesters can scavenge energy from ambient radio frequency signals. To keep the uplink and downlink information signals confidential from the energy harvesters which can be potential eavesdroppers and to optimize the harvested energy, we aim at designing the precoders and the transmit artificial noise covariance at the BS and the transmit precoders at ULUs to maximize the harvested energy subject to the constraints of the required minimum quality of service (QoS) and transmit power at the transmitters. Due to high nonconvexity and nonlinearity of the formulated design problem, we develop an iterative algorithm based on successive convex programming (SCP) by seeking appropriate surrogate functions to recast the original optimization problems into convex optimization ones. Then, the simulation results are conducted to evaluate the system performance in terms of the sum harvested energy for different system setups.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132905932","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