2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)最新文献_第5页

WLAN Throughput Prediction Using Deep Learning with Throughput, RSS, and COR 无线局域网吞吐量预测使用吞吐量，RSS和COR的深度学习

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082838

Yoshihiko Tsuchiya, Norisato Suga, Kazunori Uruma, K. Yano, Yoshinori Suzuki, Masaya Fujisawa

引用次数: 0

Recurrent Network with Attention for Symbol Detection in Communication Systems 通信系统中符号检测的注意递归网络

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082803

K. Chia, Vishnu Monn Baskaran, Koksheik Wong, M. L. Sim, Chong Hin Chee

引用次数: 0

Improved QoS in Internet of Things (IoTs) through Short Messages Encryption Scheme for Wireless Sensor Communication 利用无线传感器通信短消息加密方案提高物联网QoS

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082815

Syed Hussain Ali Kazmi, Faizan Qamar, Rosilah Hassan, K. Nisar

{"title":"Improved QoS in Internet of Things (IoTs) through Short Messages Encryption Scheme for Wireless Sensor Communication","authors":"Syed Hussain Ali Kazmi, Faizan Qamar, Rosilah Hassan, K. Nisar","doi":"10.1109/ISPACS57703.2022.10082815","DOIUrl":"https://doi.org/10.1109/ISPACS57703.2022.10082815","url":null,"abstract":"Global interest in Internet of Things (IoTs) can be accorded to the provisioning of Wireless Sensors Communication (WSC). Sensor data cannot be standardized due to diverse nature of measurements. However, the sensor's data needs to be converted into standard size for compatibility with encryption schemes. Therefore, IoTs face various processing and communication overhead issues for acceptable Quality of Service (QoS) in WSC. We proposed a communication model of the Short Messages Encryption Scheme (SMES) Model with the least additional padding in plain text. We performed a comparative analysis of various existing encryption modes and highlighted the limitations concerning compatibility with SMES. Our communication model utilizes Time of Day (TOD) based loose synchronization intervals in combination with Cipher Feed-Back (CFB) mode of AES encryption. Our evaluation of the proposed scheme shows least processing requirements and overheads in comparison with various other encryption modes. We concluded this paper by deliberating possible future research directions in SMES for IoTs.","PeriodicalId":410603,"journal":{"name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116117223","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

Improved Median-Filtered Data Embedding Method for Image Enhancement 图像增强的改进中值滤波数据嵌入方法

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082792

Koi Yee Ng, Simying Ong, Koksheik Wong

引用次数: 0

Lightweight Scrambled JPEG XS Coding for Privacy Protection 用于隐私保护的轻量级加密JPEG XS编码

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082851

T. Nakachi, H. Kimiyama, Mitsuru Maruyama

引用次数: 0

Detection and histo-scoring of HER2/CEN17 biomarkers in SISH images HER2/CEN17生物标志物在SISH图像中的检测和历史评分

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082765

Z. Rehman, M. F. A. Fauzi, Wan Siti Halimatul Munirah Wan Ahmad, P. Cheah, L. Looi, Toh Yen Fa, F. S. Abas

引用次数: 1

Noise-aware Zero-Reference Low-light Image Enhancement for Object Detection 用于目标检测的噪声感知零参考低光图像增强

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082804

Kelvin Ang, Wan Teng Lim, Y. P. Loh, Simying Ong

{"title":"Noise-aware Zero-Reference Low-light Image Enhancement for Object Detection","authors":"Kelvin Ang, Wan Teng Lim, Y. P. Loh, Simying Ong","doi":"10.1109/ISPACS57703.2022.10082804","DOIUrl":"https://doi.org/10.1109/ISPACS57703.2022.10082804","url":null,"abstract":"Computer vision advancement has proven to be able to automate many practical tasks such as object detection and recognition in challenging environments. However, most notable computer vision models are optimized to work under environment with ideal lighting conditions. Real-world scenarios are uncontrolled and it is common to encounter quality and performance deterioration due to challenges in poor lighting, especially related to the amplification of noise signals. Consequently, there is an increase of vision enhancement related works to maintain such models' performances, however there is still a gap in exploring the practical implication that such existing enhancement work has on detection models, as well as the issue and handling of noise signals. Hence, this paper investigates the incorporation of noise information into the enhancement modelling with the specific aim to improve the performance of object recognition. Building upon the zero-reference deep curve estimation (Zero-DCE) approach, a noisy data training strategy is designed in order to introduce noise priors into the curve estimation training to produce better image structure enhancement. Furthermore, the commonly implemented post-process denoising approach is also studied in this work to find out its impact and effectiveness in the context of object detection. Experiments on the ExDark dataset show that the enhanced images produced by the proposed approach is able to improve object detection in low-light images using YOLOv5 with an increase of up to 3% in precision, and comparable performance with significantly more complex state-of-the-art low-light image enhancement models.","PeriodicalId":410603,"journal":{"name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"28 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133517158","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

System Design Considerations in Free Space Optical Links over Turbulence Channel 湍流信道上自由空间光链路的系统设计考虑

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082843

Omar Aboelala, It Ee Lee, G. Chung

引用次数: 0

Hybrid Attention Mechanism combined with Peak Sampling for Object Tracking 结合峰值采样的混合注意机制在目标跟踪中的应用

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082766

Zheng-Jun Xu, Dadi Zhu, D. Cai, De-Tian Huang

{"title":"Hybrid Attention Mechanism combined with Peak Sampling for Object Tracking","authors":"Zheng-Jun Xu, Dadi Zhu, D. Cai, De-Tian Huang","doi":"10.1109/ISPACS57703.2022.10082766","DOIUrl":"https://doi.org/10.1109/ISPACS57703.2022.10082766","url":null,"abstract":"In recent years, deep learning has created a research boom in the field of computer vision and continues to drive the development of high-level tasks such as object tracking and object detection. However, designing a robust object tracking method remains a challenging topic due to the tracking challenges such as illumination changes, occlusions, deformations, etc. In this paper, we propose a novel object tracking method that combines attention mechanism and peak sampling to address the problems that arise in most existing object trackers when facing the above challenges. First, an effective hybrid attention mechanism is proposed and then introduced into the model to enhance the tracker's attention to foreground targets. Then, the Maximum peak sampling method is adopted to strengthen the highest peak of the feature response map to highlight the foreground target, which effectively suppresses the interference of target analogues. Finally, a combination of offline training and online learning methods is used to further improve the tracking accuracy and robustness. Experimental results on several standard datasets show that the proposed tracker is able to effectively promote the tracking accuracy and robustness.","PeriodicalId":410603,"journal":{"name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116056389","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

Statistical Analysis of Multiphase Error Algorithm 多相误差算法的统计分析

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082818

S. Koike

引用次数: 0