INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY最新文献

Positive-Unlabeled Learning Method for Positive Emotion Recognition Using EEG technology 利用脑电图技术识别积极情绪的积极无标记学习法

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Pub Date : 2024-08-09 DOI: 10.24297/ijct.v24i.9650

Zizhu Li, Chengyuan Shen, Jianting Cao

{"title":"Positive-Unlabeled Learning Method for Positive Emotion Recognition Using EEG technology","authors":"Zizhu Li, Chengyuan Shen, Jianting Cao","doi":"10.24297/ijct.v24i.9650","DOIUrl":"https://doi.org/10.24297/ijct.v24i.9650","url":null,"abstract":"Emotion is a reaction of the human brain to external events, and the study of emotion recognition has substantial practical applications. Therefore, accurately recognizing and understanding positive emotions across different populations is crucial. Traditional image recognition technology cannot effectively identify emotions in individuals with impaired facial muscle control, such as elderly people in nursing homes with Alzheimer’s disease and patients with facial nerve paralysis (Bell’s palsy). Consequently, many machine learning methods have been widely applied to emotion recognition based on electroencephalogram (EEG) signals in recent years. In cases where the number of samples is sufficient, powerful deep learning methods can achieve high performance in emotion recognition. However, obtaining a large amount of reliably labeled emotional EEG data is arduous. We introduce a Positive-Unlabeled (PU) learning method for classifying EEG signals into Positive and Non-Positive emotions using a binary classifier developed with minimal labeled data. This approach utilizes a small volume of labeled data containing only positive emotion signals, combined with unlabeled data that includes both classes, effectively reducing the dependency on extensive, reliably labeled EEG data. The best accuracy achieved by this method is 93.95%. Experimental results on the dataset demonstrate theeffectiveness of our approach.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141922780","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

Unveiling Neurophysiological Markers of Consciousness Levels through EEG Exploration 通过脑电图探索揭示意识水平的神经生理学标记

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Pub Date : 2024-06-05 DOI: 10.24297/ijct.v24i.9627

Jingming Gong, Linfeng Sui, Ran Zhang, Boning Li, Chengyuan Shen, ,Taiyo Maeda, Jianting Cao

{"title":"Unveiling Neurophysiological Markers of Consciousness Levels through EEG Exploration","authors":"Jingming Gong, Linfeng Sui, Ran Zhang, Boning Li, Chengyuan Shen, ,Taiyo Maeda, Jianting Cao","doi":"10.24297/ijct.v24i.9627","DOIUrl":"https://doi.org/10.24297/ijct.v24i.9627","url":null,"abstract":"The concept of consciousness levels typically refers to various aspects and tiers related to an individual’s cognition, perception, thinking, and awareness. Although neurophysiological markers have not yet been definitively identified to distinguish between these nuanced levels, this paper introduces a robust marker, the Approximate Entropy (ApEn), which quantifies the complexity of EEG signals to differentiate states of altered consciousness. Utilizing ApEn, we analyze EEG data from the frontal lobe—a region closely associated with consciousness—in states indicative of severely altered conditions, specifically anesthesia, coma, and brain death. To enhance the precision of consciousness levelassessment, we employ a Support Vector Machine (SVM) model, which classifies the states based on EEG complexity measures. This approach not only provides valuable insights into the neural correlations associated with changes in these critical states but also underscores the potential of combining quantitative EEG analysis with machine learning techniques to advance our understanding of consciousness. The findings demonstrate that EEG complexity, when analyzed using ApEn coupled with SVM classification, offers a novel and effective method for assessing and distinguishing between degrees of consciousness. This approach promises significant implications for clinical diagnostics and patient monitoring.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386371","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

A NEW ROBUST HOMOMORPHIC ENCRYPTION SCHEME BASED ON PAILLIER, RESIDUE NUMBER SYSTEM AND EL-GAMAL 基于派利尔、残差数系统和埃尔-伽马尔的新型稳健同态加密方案

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Pub Date : 2024-04-17 DOI: 10.24297/ijct.v24i.9606

P. A. Agbedemnab, Abdul Somed Safianu and, Abdul-Mumin Selanwiah Salifu

{"title":"A NEW ROBUST HOMOMORPHIC ENCRYPTION SCHEME BASED ON PAILLIER, RESIDUE NUMBER SYSTEM AND EL-GAMAL","authors":"P. A. Agbedemnab, Abdul Somed Safianu and, Abdul-Mumin Selanwiah Salifu","doi":"10.24297/ijct.v24i.9606","DOIUrl":"https://doi.org/10.24297/ijct.v24i.9606","url":null,"abstract":"\u0000\u0000\u0000The new focus of cryptographic research is on encryption schemes that can withstand cyber-attacks, with the arrival of cloud computing. The widely used public key encryption system designed by Taher El Gamal based on the discrete logarithm problem has been used in many sectors such as internet security, E-voting systems, and other applications for a long time. However, considering the potential data security threats in cloud computing, cryptologists are developing new and more robust cryptographic algorithms. To this end, a new robust homomorphic encryption scheme based on Paillier, Residue Number system (RNS), and El Gamal (PRE), is proposed in this paper., which is expected to be highly effective and resistant to cyber-attacks. The proposed scheme is composed a three-layer encryption and a three-layer decryption processes thereby, making it robust. It employs an existing RNS moduli set {2n + 1, 2n, 2n − 1, 2n−1} − 1}, having passed it through the Paillier encryption process for forward conversion and then the El Gamal cryptosystem to encrpyt any data. The decryption process is a reversal of these processes starting from the El Gamal through a reverse conversion with the same moduli set using the Chinese Remainder Theorem (CRT). The simulation results shows that the proposed scheme outperforms similar existing schemes in terms of robustness and therefore, making it more secured which however, trades off with the time of execution in similar comparison.\u0000\u0000\u0000","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140693210","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

On Defining Smart Cities using Transformer Neural Networks 利用变压器神经网络定义智能城市

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Pub Date : 2024-01-28 DOI: 10.24297/ijct.v24i.9579

Andrei Khurshudov

{"title":"On Defining Smart Cities using Transformer Neural Networks","authors":"Andrei Khurshudov","doi":"10.24297/ijct.v24i.9579","DOIUrl":"https://doi.org/10.24297/ijct.v24i.9579","url":null,"abstract":"Cities worldwide are rapidly adopting “smart” technologies, transforming urban life. Despite this trend, a universally accepted definition of “smart city” remains elusive. Past efforts to define it haven’t yielded a consensus, as evidenced by the numerous definitions in use. In this paper, we endeavored to create a new “compromise” definition that should resonate with most experts previously involved in defining this concept and aimed to validate one of the existing definitions. We reviewed 60 definitions of smart cities from industry, academia, and various relevant organizations, employing transformer architecture-based generative AI and semantic text analysis to reach this compromise. We proposed a semantic similarity measure as an evaluation technique, which could generally be used to compare different smart city definitions, assessing their uniqueness or resemblance. Our methodology employed generative AI to analyze various existing definitions of smart cities, generating a list of potential new composite definitions. Each of these new definitions was then tested against the pre-existing individual definitions we’ve gathered, using cosine similarity as our metric. This process identified smart city definitions with the highest average cosine similarity, semantically positioning them as the closest on average to all the 60 individual definitions selected.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140490788","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

Convolutional Neural Networks for Deep Sleep Detection Based on Data Augmentation 基于数据增强的卷积神经网络用于深度睡眠检测

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Pub Date : 2024-01-28 DOI: 10.24297/ijct.v24i.9567

Ruixuan Chen, Linfeng Sui, Mo Xia, Jinsha Liu, Tao Zhang, Jianting Cao

{"title":"Convolutional Neural Networks for Deep Sleep Detection Based on Data Augmentation","authors":"Ruixuan Chen, Linfeng Sui, Mo Xia, Jinsha Liu, Tao Zhang, Jianting Cao","doi":"10.24297/ijct.v24i.9567","DOIUrl":"https://doi.org/10.24297/ijct.v24i.9567","url":null,"abstract":"Sleep is a necessary process that individuals undergo daily for physical recovery, and the proportion of deep sleep in the sleep stages is a critical aspect of the recovery process. Convolutional Neural Networks (CNNs) have shown remarkable success in automatically identifying deep sleep stages through the analysis of electroencephalogram (EEG) signals. This article introduces three data augmentation techniques, including time shifting, amplitude scaling and noise addition, to enhance the diversity and features of the data. These techniques aim to enable machine learning models to extract features from various aspects of sleep EEG data, thus improving the model’s accuracy. Three deep learning models are introduced, namely DeepConvNet, ShallowConvNet and EEGNet, for the identification of deep sleep. To evaluate the proposed methods, the Sleep-EDF public dataset was utilized. Experimental results demonstrate that the enhanced dataset formed by applying the three data augmentation techniques achieved higher accuracy in all deep learning models compared to the original dataset. This highlights the feasibility and effectiveness of these methods in deep sleep detection.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592244","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

Experimental Implementation approach of Crawling Framework CARE JOBS for Disability Job Search Using Intelligent Agents 利用智能代理进行残疾工作搜索的 CARE JOBS 抓取框架的实验实施方法

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Pub Date : 2023-12-21 DOI: 10.24297/ijct.v23i.9559

Diana Avram

引用次数: 0

Rotitome-G: Principles and design concept of experimental compliant continuum robotic microsurgical endoscopic sarcotome for pixel/voxel-level target access neurosurgery Rotitome-G：用于像素/体素级靶点入路神经外科手术的实验性顺应式连续体机器人显微手术内窥镜纤支镜的原理和设计理念

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Pub Date : 2023-12-02 DOI: 10.24297/ijct.v23i.9549

H. S. Gandhi

{"title":"Rotitome-G: Principles and design concept of experimental compliant continuum robotic microsurgical endoscopic sarcotome for pixel/voxel-level target access neurosurgery","authors":"H. S. Gandhi","doi":"10.24297/ijct.v23i.9549","DOIUrl":"https://doi.org/10.24297/ijct.v23i.9549","url":null,"abstract":"The practice of minimal access surgery is widely accepted, and it has become prevalent with improved endoscope design. The traditional microscope in neurosurgery is gradually being challenged by the neuro-endoscope for its direct co-axial vision and direct illumination of the deep set subcortical pathology. The conceptualized design of Rotitome-G is based on compliant continuum robotic system. The system is a biomimicry of muscular hydrostat anatomy of the elephant trunk, a plant tendril, and many similar structures in the animal world with an infinite degree of freedom. The article describes the functional anatomy of these structures and the extensor expansion of the human finger as applied to the construction and implementation of the Rotitome-G. This flexible microsurgical endoscope integral to its design has unique cutting tool versions and multiple assistive tools passed through single ‘target access’ burr hole aperture. It is navigable within the surgical space co-relative to the image space to increase precision and improve the volume of tumour resection. The current study is theoretical and further work is in progress to assess its surgical capabilities to bring it to the clinical arena.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138606517","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

Construct and Evaluate a Phone Dialing System Leveraging SSVEP Brain-Computer Interface 利用 SSVEP 脑机接口构建和评估电话拨号系统

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Pub Date : 2023-11-23 DOI: 10.24297/ijct.v23i.9539

Jinsha Liu, Boning Li, Jianting Cao

引用次数: 0

Real-time Interpretation of EEG Signals for Consciousness State Assessment 实时解读脑电信号以评估意识状态

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Pub Date : 2023-11-18 DOI: 10.24297/ijct.v23i.9541

Jingming Gong, Linfeng Sui, Ran Zhang, Boning Li, Chengyuan Shen, Jianting Cao

{"title":"Real-time Interpretation of EEG Signals for Consciousness State Assessment","authors":"Jingming Gong, Linfeng Sui, Ran Zhang, Boning Li, Chengyuan Shen, Jianting Cao","doi":"10.24297/ijct.v23i.9541","DOIUrl":"https://doi.org/10.24297/ijct.v23i.9541","url":null,"abstract":"Assessing the level of consciousness is critical in clinical practice, especially for patients with traumatic brain injuriesor those in a coma or vegetative state. Traditional methods like the Glasgow Coma Scale have limitations, such asinter-observer variability and low sensitivity. In recent years, electroencephalography (EEG) has emerged as a promisingapproach for assessing consciousness, offering non-invasive, real-time monitoring of brain activity. In this study, we propose a real-time analysis system for assessing consciousness levels using a portable EEG device. Our system analyzes EEG signals and provides valuable insights into consciousness levels, enabling prompt clinical interventions. The real-time nature of our system allows for continuous monitoring and immediate assessment of consciousness levels. Compared to traditional methods, our system offers advantages in terms of real-time functionality, providing a comprehensive evaluation of consciousness. Through extensive experiments using real patient data, our systemdemonstrates its value as a valuable tool for assessing consciousness levels in clinical practice. It offers healthcare professionals an efficient and reliable method for evaluating consciousness.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262486","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

Design and Implementation of P300 Brain-Controlled Wheelchair with a Developed Wireless DA Converter P300脑控轮椅无线数模转换器的设计与实现

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Pub Date : 2023-08-01 DOI: 10.24297/ijct.v23i.9485

Zizhu Li, Boning Li, Wenping Luo, Jianting Cao

引用次数: 0

INTERNATIONAL JOURNAL OF COMPUTERS &amp; TECHNOLOGY最新文献

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY最新文献