2021 Palestinian International Conference on Information and Communication Technology (PICICT)最新文献_第2页

Smart Health using IOT: Challenges and Solutions 使用物联网的智能健康:挑战和解决方案

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI: 10.1109/PICICT53635.2021.00025

Afia M. Muhammad, A. Alsunbul, A. Zeki

引用次数: 1

RSS Certainty: An Efficient Solution for RSS Variation due to Device Heterogeneity in WLAN Fingerprinting-based Indoor Positioning System 基于指纹识别的无线局域网室内定位系统中由于设备异构导致的RSS变化的有效解决方案

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI: 10.1109/PICICT53635.2021.00024

I. H. Alshami, Noor Azurati Ahmad, S. Sahibuddin

引用次数: 0

Noise-Robust Least-Squares Method in TDOA Estimation of a Source Location 噪声鲁棒最小二乘法在源位置TDOA估计中的应用

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI: 10.1109/PICICT53635.2021.00032

Ahmed Waleed Al-Asadi, Nabeel Salih Ali

{"title":"Noise-Robust Least-Squares Method in TDOA Estimation of a Source Location","authors":"Ahmed Waleed Al-Asadi, Nabeel Salih Ali","doi":"10.1109/PICICT53635.2021.00032","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00032","url":null,"abstract":"The determination of the target position between a sensor and signal arrival is essential in various spheres of life, including telecommunication and military sectors. In this case, several sensors for detecting sound or other signals in space are used to estimate the position of a source emitting a signal. Typical methods for determining the location of a target often encounter problems when there is noise in the place of the sensors. This paper proposes the least-squares error method that applies the concept of correntropy. The process can robustly detect distortion in the position of the sensors and noise produced by them and could thus be used to estimate the target location. Experiments suggest that the method proposed here is superior to the standard least-squares method. Therefore, the innovations implemented include the provision of a new cost function that uses the concept of correntropy by the term exp, which results in higher resistance to noise in the transmitted data and the positions of the sensors. The technique's performance could be enhanced as a result of the presented method based on convergence rate and reduction of errors. The proposed approach is applicable to signal and instrumentation calculation noises that broaden the sound output time difference.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132390673","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

EEG Feature Fusion for Person Identification Using Efficient Machine Learning Approach 基于高效机器学习方法的脑电特征融合人脸识别

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI: 10.1109/PICICT53635.2021.00029

Zaid Abdi Alkareem Alyasseri, M. Al-Betar, M. Awadallah, S. Makhadmeh, O. Alomari, A. Abasi, Iyad Abu Doush

{"title":"EEG Feature Fusion for Person Identification Using Efficient Machine Learning Approach","authors":"Zaid Abdi Alkareem Alyasseri, M. Al-Betar, M. Awadallah, S. Makhadmeh, O. Alomari, A. Abasi, Iyad Abu Doush","doi":"10.1109/PICICT53635.2021.00029","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00029","url":null,"abstract":"Recently, the electroencephalogram (EEG) signal presents an excellent potential for a new person identification technique. This paper proposed a new method for EEG feature extraction based on fusing different EEG features. In general, EEG feature extraction can be categorized into three types which are time domain, frequency domain, and time-frequency domain features. This paper also applied several supervised learning approaches to select the efficient classifier for EEG-based person identification. The performance of the proposed method is tested using standard EEG datasets, namely, EEG Motor Movement/Imagery Dataset. The results are evaluated using four common criteria which are: accuracy rate (ACCEEC), sensitivity (SenEEC), specificity (SpeEEC) and F-score (FSEEC). The experiment results show that the fusion approach achieves better results compared with a traditional EEG feature extraction approach. The proposed fusion feature method is recommended to apply in more challenging signal problem instances, such as user authentication or early detection of epilepsy based on EEG signals.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121608923","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

Alpha channel-Based Indicator For Robustness Forward/Backward LSB Steganography 基于Alpha通道的LSB前/后隐写鲁棒性指标

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI: 10.1109/PICICT53635.2021.00039

Laila AlFaqawi, Mohamed AbuHaya, T. Barhoom

{"title":"Alpha channel-Based Indicator For Robustness Forward/Backward LSB Steganography","authors":"Laila AlFaqawi, Mohamed AbuHaya, T. Barhoom","doi":"10.1109/PICICT53635.2021.00039","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00039","url":null,"abstract":"Steganography is important technique for protecting confidential media (text, image, audio, etc.) by embedding it on another media object calling a cover or carrier, subject to no one can discovered. There is a conflict between the developers of Steganography and Steganalysis (detecting hidden messages), Therefore, there must be a rapid development in the creation of complex algorithms to hide information in a way that is difficult to analyze and access. This research introduces a new image steganography technique, Alpha Channel Based Steganography, that differently others algorithms by hiding secret information depending on Alpha Channel where using RGB channels as search space and alpha channel as an indicator for hiding and retrieving confidential data. two least significance bits in alpha channel using to indicate which RGB channel have the secret bit and other two to indicate the rounds number and type (forward and backward search) until secret message end. Using Alpha Channel in the introduced algorithm increase robustness against Steganalysis. Moreover, the capacity of hidden information has also increased due to the quadrupling of the search field in one image, where no visual attack can detect stego image even with maximum hiding capacity. After testing, evaluating and comparing with other algorithms, the proposed algorithm scoring 0% in MSE test, infinite in PSNR test, and 1 for SSIM test, the result of testing indicate that the proposed algorithm achieves the best results according to steganography aspects: imperceptibility, capacity and robustness.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124847276","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

Applying Deep Learning and Natural Language Processing in Cancer: A Survey 深度学习和自然语言处理在癌症中的应用综述

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI: 10.1109/PICICT53635.2021.00030

Aiman AbuSamra, Areej M. R. Al-Madhoun

引用次数: 0

Technical Support Committee 技术支援委员会

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI: 10.1109/picict53635.2021.00010

引用次数: 0

[Copyright notice] (版权)

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI: 10.1109/picict53635.2021.00003

引用次数: 0

The Use of Machine Translation to Provide Resources for Under-Resourced Languages - Image Captioning Task 利用机器翻译为资源不足的语言提供资源——图像字幕任务

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI: 10.1109/PICICT53635.2021.00017

Basem H. A. Ahmed, Motaz K. Saad

引用次数: 0

Wind Driven Optimization With Smart Home Battery for Power Scheduling Problem in Smart Home 基于智能电池的智能家居电力调度问题的风力优化

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI: 10.1109/PICICT53635.2021.00026

S. Makhadmeh, M. Al-Betar, A. Abasi, M. Awadallah, Zaid Abdi Alkareem Alyasseri, O. Alomari, Iyad Abu Doush

{"title":"Wind Driven Optimization With Smart Home Battery for Power Scheduling Problem in Smart Home","authors":"S. Makhadmeh, M. Al-Betar, A. Abasi, M. Awadallah, Zaid Abdi Alkareem Alyasseri, O. Alomari, Iyad Abu Doush","doi":"10.1109/PICICT53635.2021.00026","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00026","url":null,"abstract":"The power scheduling problem in smart home (PSPSH) refers to schedule smart appliances at suitable times in accordance with pricing system(s). Smart appliances can be rearranged and scheduled by moving their operation times from one period to another. Such a process aims to decrease the electricity bill and the power demand at peak periods and improve user satisfaction. Different optimization approaches were proposed to address PSPSH, where metaheuristics are the most common methods. In this paper, wind-driven optimization (WDO) is adapted to handle PSPSH and optimize its objectives. Smart home battery (SHB) is modelled and used to improve the schedules by storing power at off-peak periods and using the stored power at peak periods. In the simulation results, the proposed approach proves its efficiency in reducing electricity bills and improving user satisfaction. In addition, WDO is compared with bacterial foraging optimization algorithm (BFOA) to evaluate and investigate its performance. WDO outperforms BFOA in optimizing PSPSH objectives.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126695093","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