检索结果-内蒙古大学图书馆

IEEE International Conference on Sensors and Nanotechnology

作者： M. S. Jasmi M. F. M. Fathil M. K. Md Arshad M. Nuzaihan. M. N. N. H. A. Halim S. F. A. Rahman A. Ayoib M. Shaifullah. A. S M. M. Ibrahim Faculty of Electronic Engineering and Technology Universiti Malaysia Perlis Arau Malaysia Institute of Nano Electronic Engineering Universiti Malaysia Perlis Kangar Malaysia School of Electrical and Electronic Engineering Engineering Campus Universiti Sains Malaysia Nibong Tebal Malaysia Faculty of Chemical Engineering & Technology Universiti Malaysia Perlis Padang Besar Malaysia Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka Durian Tunggal Malaysia

Uncharged biomolecules sensing performance of dielectric-modulated field-effect transistor (DMFET) biosensor at various nanogap thickness via semiconductor device simulation tool was assessed in this work. The device structures with 10 nm-, 15 nm-, and 20 nm-thick nanogap were constructed for this investigation. Each device structure was applied with dielectric constant ranging from 2 to 7 at the nanogap representing the presence of various biomolecules. These device structures were electrically simulated by supplying gate voltage from 0 V to 2 V and biased with drain voltage of 0.05 V for linear region of operation. Based on the extracted drain current, the reduction of nanogap thickness increase capacitance at the nanogap region. In additional, increase in nanogap’s dielectric constant causing an increase of its capacitance, and translated into higher output drain current. Sensitivity calculation and analysis shows DMFET biosensor with 10 nm-thick nanogap demonstrated the highest sensitivity with 6.896 µA/dec, which possibly permit enhanced sensing of uncharged biomolecule.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Incorporating Extended Reality technology for Delivering computer Aided Design and Visualisation Modules 14

Incorporating Extended Reality Technology for Delivering Com...

引用

14th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2022

作者： Vichare, Parag Cano, Michele Dahal, Keshav Siewierski, Tomasz Gilardi, Marco University of the West of Scotland PaisleyPA1 2BE United Kingdom Lodz University of Technology Faculty of Electrical Electronic Computer and Control Engineering Lodz90-537 Poland

ISBN: (纸本)9781665493345

The basic requirement in curriculum design is to review and constructively align programme modules with state-of-the art and trends in the subject area. Extended reality (XR), an umbrella term for emerging technologies such as augmented reality (AR), mixed reality (MR) and virtual reality (VR), is becoming a prominent aspect of design and visualization for architecture, engineering, and construction (AEC) industry. engineering programmes are primary feeders for the AEC industry, delivery of CAD and visualisation modules provide wider opportunities for adapting such emerging technologies in the subject area, as well as use of these technologies for developing novel pedagogical practices. This paper provides a rational behind revising traditional CAD and visualisation modules designed for engineering undergraduate programmes, and constructively incorporate XR within programme modules. A critical literature review is provided on XR subject area as well as XR based pedagogical practices. This review identifies elements of XR as a subject area that can be incorporated in AEC programmes. It also highlights academic and operational considerations in adapting XR technology for delivering CAD and visualisation modules. Similar approach is extended to evaluate integration of XR technologies for Electrical and Power engineering Programmes. © 2022 IEEE.

关键词： computer aided design

来源：评论

学校读者我要写书评

暂无评论

Beamforming Design Towards Sum-Rate Maximization for Holographic Active RIS-Aided Uplink Near-Field Communications

引用

IEEE Internet of Things Journal 2025年第12期12卷 18582-18595页

作者： Singh, Sandeep Singh, Keshav Singh, Sandeep Kumar Shin, Hyundong Duong, Trung Q. Kaohsiung80424 Taiwan National Sun Yat-sen University Institute of Communications Engineering Kaohsiung80424 Taiwan Kyung Hee University Department of Electronic Engineering Gyeonggi-do Yongin-si17104 Korea Republic of Motilal Nehru National Institute of Technology Allahabad Department of Electronics and Communication Engineering Prayagraj India Kyung Hee University Department of Electronics and Information Convergence Engineering Deogyeong-daero Gyeonggi-do Yongin-si1732 Korea Republic of Memorial University Faculty of Engineering and Applied Science St. John'sNLA1C 5S7 Canada Queen's University Belfast School of Electronics Electrical Engineering and Computer Science BelfastBT7 1NN United Kingdom

Holographically-driven active reconfigurable intelligent surface (HARIS), leveraging densely packed sub-wavelength elements, overcomes the limitations of conventional RIS in signal processing, unlocking advanced capabilities for next-generation networks. Thus, to exploit its full potential, this work proposes the integration of HARIS into an Internet of Things (IoT) multi-user uplink near-field-driven wireless communication system. A sum-rate maximization problem is formulated to provide efficient resource utilization by jointly optimizing the equalizer design, power allocation at each IoT user, and the HARIS phase shift, while satisfying strict constraints of quality of service (QoS) requirement and limited power budget at each IoT user and HARIS. Due to the non-convex nature of the problem, we propose an alternating optimization (AO)-based algorithm, incorporating techniques such as minimum mean square error (MMSE), convex upper bound approximation, and semidefinite relaxation (SDR). Then, extensive simulations validate the algorithm's efficacy and convergence, demonstrating up to 63% higher performance with HARIS than passive RIS. Additionally, we highlight that near-field communication yields up to 90% higher sum-rate than hybrid 76% and far-field model 73%. Moreover, we demonstrate the impact of imperfect channel state information (iCSI) on the system performance. © 2014 IEEE.

关键词： Mean square error

来源：评论

学校读者我要写书评

暂无评论

Sentiment Analysis Using Machine Learning and Deep Learning Models

Sentiment Analysis Using Machine Learning and Deep Learning ...

引用

Machine Learning and Applied Network Technologies (ICMLANT), IEEE International Conference on

作者： Hoang-Dieu Vu Quang-Tu Pham Vijender Kumar Solanki Trong-Minh Hoang Due-Tan Tran Faculty of Electrical and Electronic Engineering Phenikaa University Hanoi Vietnam Department of Computer Science and Enginnering Stanley College Of Engineering & Technology For Women Hyderabad TG India Posts and Telecommunications Institute of Technology Hanoi Vietnam

ISBN: (数字)9798350389180

ISBN: (纸本)9798350389197

This study investigates sentiment analysis method-ologies using two distinct datasets: the IMDb Movie Reviews corpus and a novel Financial Sentiment dataset. Employing a comprehensive approach, the research integrates traditional Machine Learning algorithms and Deep Learning models to analyze and interpret sentiments. The preprocessing phase incor-porates techniques such as punctuation removal, text lowercasing, and specialized considerations for financial symbols. Machine Learning models, including Logistic Regression and Random Forest, are applied to the IMDb dataset, with Naive Bayes demonstrating superior performance at 89% accuracy. The Deep Learning model achieves 82% accuracy on the testing set. In the Financial Sentiment dataset, Naive Bayes emerges as the optimal model, despite reduced overall performance due to dataset limitations and imbalance. This research contributes valuable insights into sentiment analysis methodologies, offering a nuanced understanding of model performance across diverse datasets and enhancing our comprehension of sentiment classification in various contexts.

关键词： Deep learning Analytical models Sentiment analysis Logistic regression Machine learning algorithms Accuracy Reviews Symbols Bayes methods Testing

来源：评论

学校读者我要写书评

暂无评论

Modeling and Analysis of Electrical Circuit Connections in the Piezoelectric Cantilever Array for Vibration Energy Harvester

Modeling and Analysis of Electrical Circuit Connections in t...

引用

International Conference on Environment and Electrical engineering (EEEIC)

作者： Li Wah Thong Swee Leong Kok Roszaidi Ramlan Faculty of Engineering and Technology Multimedia University Melaka Malaysia Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka Melaka Malaysia Faculty of Mechanical Engineering Universiti Teknikal Malaysia Melaka Melaka Malaysia

The use of energy-efficient and environmentally-friendly low-power sensors technologies has impacted the advancement of vibration energy harvesting systems. The standard piezoelectric cantilever beam has numerous limitations, such as a limited operating range and decreased output power due to mismatch of operating frequency and its surrounding frequencies. A broadband approach to energy harvesting is crucial for capturing electrical energy from random ambient vibrations. In this study, a model of the piezoelectric energy harvesters is established to assess the effectiveness of a multi-cantilever system. This research explores the impact of two distinct electrical connection configurations for the cantilevers, specifically series and parallel circuit arrangements, on boosting the power output and expanding the bandwidth. An array consisting of four similar piezoelectric cantilevers with different resonant frequencies were positioned alongside each other to function as a system for producing electrical output across a frequency range between 100Hz to 400Hz. The bandwidth of the multi-cantilever system was effectively expanded from 100Hz to 200 Hz for a 4-beam system, which is twice its original single cantilever output for both the series and parallel configurations. The peak output voltage of the system is also notably higher, at least a two-fold increase over the individual cantilever beams.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Improving Subset Linear Discriminant Analysis Algorithm Using Overlapping Clustering

Improving Subset Linear Discriminant Analysis Algorithm Usin...

引用

2023 Al-Sadiq International Conference on Communication and Information technology, AICCIT 2023

作者： Mandeel, Thulfiqar H. Ahmad, Muhammad Imran Khalid, Noor Aldeen A. Hassan, Mustafa Hamid Kadhim, Mohammed Hayder Imam Ja'afar Al-Sadiq University College of Information Technology Department of Computer Techniques Engineering Muthanna Iraq Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Bilad Alrafidain University College Department of Medical Instruments Engineering Techniques Diyala Iraq Imam Ja'afar Al-Sadiq University College of Information Technology Muthanna Iraq Jabir Ibn Hayyan for Medical and Pharmaceutical Sciences Department of Information Technology Najaf Iraq

ISBN: (纸本)9798350341881

In recent years, there have been many proposals to improve the performance of traditional linear discriminant analysis (LDA). One of these is subset-improving linear discriminant analysis (S-LDA), which is based on clustering the whole set of classes into subsets and performing the LDA locally on these subsets. However, this algorithm suffers from an improper mapping of the classes to the corresponding subset during the testing procedure due to the inevitable discrepancy between the images used for training and those for testing. This discrepancy is caused either by spatial distortion or noise. The wrong mapping is severe when the number of data samples is small which is a common scenario in biometric datasets. In this paper, overlapping clustering is proposed for class clustering, to overcome the aforementioned problem. The proposed algorithm outperforms the S-LDA by 35.4% in mapping accuracy when using the PolyU palmprint database, 36.96%, resp. 33.92% when using left resp. Right palm images from the IIT Delhi Touchless Palmprint Database. © 2023 IEEE.

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

Energy Efficiency Maximization for Relay-aided Wireless Powered Mobile Edge Computing

TechRxiv

引用

TechRxiv 2023年

作者： Wu, Tongyu He, Huaiwen Shen, Hong School of Computer University of Electronic Science and Technology of China Zhongshan Institute China Computer Science and Engineering School University of Electronic Science and Technology of China China Faculty of Applied Sciences Macao Polytechnic University China

Mobile edge computing (MEC) integrated with radio frequency-based wireless power transfer (WPT) has became a promising trend to shorten task delay and achieve sustainable operations of computing system, as it continuously provides energy to wireless devices (WDs) and allows computation tasks offloading to a powerful edge server nearby. Furthermore, introducing the relay technique to WPT-MEC system could improve offloading capability and energy efficiency, especially when the condition of the wireless channels between server and WDs is poor. In this paper, we seek to maximize the energy efficiency (EE) for a multiuser relay-aided MEC network powered by WPT, where binary offloading policy is followed in WDs and partial offloading policy is adopted in the relay. We aim to jointly optimize the relay’s computing configurations, wireless charge time fraction and WDs offloading strategy, that faces great challenge due to the strong coupling of multi-user computing mode selection and hybrid offloading model among WDs and relay. To tackle the problem, we formulated it as a mixed integer nonlinear programming (MINLP) problem and design an iterative algorithm based on Dinkelbach’s method and alternating direction method of multipliers (ADMM) decomposition technique to solve it. We first transform the original fractional programming problem into a more tractable problem in a subtraction form based on Dinkelbach’s method. Then according to ADMM technique, we decompose the multi-user offloading problem into multiple subproblems which can be solved in a distributed model. For an iterative calculating step, we propose a Bi-Search algorithm for CPU frequency and transmission power optimization and a DAI-Based algorithm to choose the time fraction of wireless power charging. The simulation results show that our proposed algorithm convergence fast and derive a 15% higher energy efficiency than other benchmark methods. © 2023, CC BY-NC-SA.

关键词： Mobile edge computing

来源：评论

学校读者我要写书评

暂无评论

Distributed Fixed-Time Algorithms for Time-Varying Constrained Optimization Problems

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2025年

作者： He, Xing Li, Yue Zhang, Meng Huang, Tingwen Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Chongqing400715 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

In this paper, the distributed form of the zeroing neural network for solving time-varying optimal problems is put forward. Compared with traditional centralized algorithms, distributed algorithms possess better privacy and scalability. This paper initially proposes a centralized time-varying optimisation algorithm with fixed-time convergence and certain robustness, which is based on the integration-enhanced zeroing neural network. Subsequently, the algorithm is enhanced, and two distributed algorithms are designed separately. Both of these two algorithms have a fixed convergence time and certain robustness. Additionally, this paper utilizes the penalty function approach to handle time-varying optimization problems with inequality constraints, thereby making the algorithm more widely applicable. The effectiveness of the algorithm is verified through several numerical examples, and the applicability of the algorithm is demonstrated by solving the package-level state-of-charge balancing problem. © 2020 IEEE.

关键词： Optimization algorithms

来源：评论

学校读者我要写书评

暂无评论

The Response of EEG Signal on Brain Relaxation Meditation Using Different Type of Zikr

The Response of EEG Signal on Brain Relaxation Meditation Us...

引用

2021 International Conference on Biomedical engineering, ICoBE 2021

作者： Razak, N.N. Abd Sidek, K.A. Alaa, K.Y.D. Nasir, N.F. Mohd Department of Electrical and Computer Engineering Kulliyyah of Engineering International Islamic University Malaysia Department of Computer Engineering College of Computer Science and Engineering University of Ha’il Saudi Arabia Biomedical Electronic Engineering Programme Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Malaysia

Depression and stress are increasingly prevalent in today’s society, owing to people's hectic, competitive, and demanding lifestyles. These illnesses had become very common, particularly among young and middle-aged people, and suicidal ideation had been identified as one of the leading causes of death by the World Health Organization (WHO). Nature sound (sound of downpours or beach) has been linked to depression and anxiety in neurology research, and it has been shown to be an alternative to alleviate anxiety. The electroencephalogram (EEG) waveform has been discovered to possess the potential in identifying information from the brain signal as well as data from the past via Bluetooth communication. The waveform use in the study are the result of a few experiments. In this study, EEG data were collected from eight subjects, four males and four females, in between the age of 20 to 30 years old and in good health, using the BrainLink device. The participants were asked to listen to two playlists of zikr, Allah, Ya Allah, and SubhanAllah, during the experiments. To smooth the signal, the Butterworth filter was used. Later, the extracted features were Alpha, Beta, and Delta waves, which were segmented based on the filtered signal. To complete the decision-making stage, the average value of amplitude differences and the p-value test were performed in the final phase. Based on the results of the experiments, it is clear that zikr is dominant in Delta wave. In terms of data hypothesis analysis, the results of both experiment were differentiated to determine which brain signal was dominant, and p-value testing was performed. Furthermore, this research is an alternative to current methods because it suggest that zikr has the tendency to alter a person's brain state to be either in a relaxed or calm mode regardless of the type of zikr recitation. As an outcome, the study recommends the relationship of the reaction of EEG signal on brain relaxation with different types of zikr

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Design of an electronically Controlled Biquadratic Filter Using Commercial ICs

Design of an Electronically Controlled Biquadratic Filter Us...

引用

International Electrical engineering Congress (iEECON)

作者： Somkid Ritnathikul Danupat Duangmalai Khanittha Kaewdang Settasuk Kwuanphet Thanawat Chalermpong Koson Pitaksuttayaprot Department of Computer Engineering Faculty of Agricultural and IndustrialTechnology Phetchabun Rajabhat University Phetchabun Thailand Department of Electrical and Electronic Engineering Faculty of Engineering Ubon Ratchathani University Ubon Ratchathani Thailand Department of Electrical Engineering Faculty of Industrial Technology Nakhon Phanom University Nakhon Phanom Thailand Department of Electronics and Automation Systems Engineering Faculty of Agricultural and Industrial Technology Phetchabun Rajabhat University Phetchabun Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

This paper presents an electronically controlled biquadratic filter designed for precise frequency selection in applications such as audio processing, telecommunications, and cochlear implants. The design utilizes AD830, AD844, and LM13700 integrated circuits, facilitating high-pass, band-pass, and low-pass responses with improved stability and real-time tunability. PSPICE simulations validate the filter's adaptability and performance, demonstrating its effectiveness in dynamic environments and its suitability for high-frequency applications requiring flexible frequency control. The results indicate a calculated pole frequency of 2.23 MHz, while simulations yield a slightly lower value of 2.0 MHz, affirming the design's practical viability and alignment with theoretical expectations.

关键词： Band-pass filters Performance evaluation Adaptation models Low-pass filters SPICE Stability analysis Real-time systems Telecommunications Integrated circuit modeling Frequency control

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：