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Hundredfold increase of stimulated Brillouin-scattering bandwidth in whispering-gallery mode resonators

Photonics Research 2023年第6期11卷 917-924页

作者： GUOPING LIN JINGYI TIAN TANG SUN QINGHAI SONG YANNE K.CHEMBO Ministry of Industry and Information Technology Key Laboratory of Micro-Nano Optoelectronic Information System School of ScienceHarbin Institute of TechnologyShenzhen 518055China Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Shenzhen 518055China Department of Electrical and Computer Engineering&Institute for Research in Electronics and Applied Physics(IREAP) University of MarylandCollege ParkMaryland 20742USA

Backward stimulated Brillouin scattering(SBS)is widely exploited for various applications in optics and *** typically features a narrow gain bandwidth of a few tens of megahertz in fluoride *** we report a hundredfold increase of SBS bandwidth in whispering-gallery mode *** crystalline orientation results in a large variation of the acoustic phase velocity upon propagation along the periphery,from which a broad Brillouin gain is *** 2.5 GHz wide Brillouin gain profile is theoretically found and experimentally *** phenomena with Brillouin shift frequencies ranging from 11.73 to 14.47 GHz in ultrahigh Q Z-cut magnesium fluoride cavities pumped at the telecommunication wavelength are ***,the Brillouin-Kerr comb in this device is *** 400 comb lines spanning across a spectral window of 120 nm are *** finding paves a new way for tailoring and harnessing the Brillouin gain in crystals.

关键词： scattering pumped Brillouin

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Enhanced Energy Efficiency in Wireless Sensor Networks through Harvesting Technologies

Enhanced Energy Efficiency in Wireless Sensor Networks throu...

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Electrical, Energy, and Artificial Intelligence (EICEEAI), International engineering Conference on

作者： Mohammed Ayad Saad Adnan H. Al Ahmed Hashim Rashid Hassaan Th. H. Thabet Mohammed Al Essa Sameer Alani Dep of Electrical Electronics & System Engineering Faculty of Engineering & Built Environment Universiti Kebangsaan Malaysia (UKM) Bangi Selangor Malaysia Dep of Medical Instrumentations Technique Engineering Al-Kitab University Kirkuk Iraq Middle Technical University Electrical Engineering Technical College Iraq Department of Electrical Electronics & System Engineering Faculty of Engineering & Built Environment Universiti Kebangsaan Malaysia (UKM) Bangi Selangor Malaysia Department of Medical Instruments Techniques Engineering Al-Hadba University College Mosul Iraq Department of Medical Instrumentations Technique Engineering Jannat Iraq College Ramadi Iraq Computer Center University of Anbar Iraq

ISBN: (数字)9798350373363

ISBN: (纸本)9798350373370

In sensor networks, a wireless sub-system enabling the transfer of digitised data facilitates communication between sensors. Deploying sensor networks involves considering factors such as sensor quantity, topology (fixed or dynamic), data collection needs, and energy supply. Energy poses a significant challenge in wireless nodes, prompting the exploration of suitable power sources for wireless sensor networks (WSNs). While fixed utilities like power lines or manual battery recharging may suffice for a few nodes, deploying hundreds or thousands of nodes in challenging terrain demands alternative solutions. Solar cells and other energy harvesting techniques like wind and RF emerge as ideal options, rendering WSNs self-sustaining. Efficient energy-saving mechanisms are crucial to address energy constraints in small sensors. This review examines leveraging solar cells for energy harvesting, proposing a system incorporating an energy management technique based on node sleep and wake-up strategies. The results reveal a trade-off between dropped communication packets and blocked transmissions during node sleep. The proposed Nash equilibrium resolves this, optimising energy conservation against packet blocking probability in the envisioned scenario.

关键词： Vibrations Wireless sensor networks Photovoltaic cells Wireless networks Nash equilibrium Generators Energy efficiency

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The influence of proton radiation on the performance of silicon Mach-Zehnder modulator

The influence of proton radiation on the performance of sili...

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2021 Asia Communications and Photonics Conference, ACP 2021

作者： Han, Changhao Hu, Zhaoyi Tao, Yuansheng Fu, Engang Wang, Xingjun State Key Laboratory of Advanced Optical Communications System and Networks Department of Electronics School of Electronics Engineering and Computer Science Peking University Beijing100871 China State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing100871 China

The influence of proton radiation on silicon Mach-Zehnder modulator performance was studied for space environment. The modulator was sensitive to proton radiation while still demonstrated a certain working ability aft... 详细信息

ISBN: (纸本)9781957171005

关键词： Silicon

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Comparative study for different types of mppt algorithms using direct control method 1

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2nd International Conference on Electrical and electronics engineering, ICEEE 2021

作者： Shams, Immad Mohammed, Karam Khairullah Mekhilef, Saad Tey, Kok Soon Power Electronics and Renewable Energy Research Laboratory Department of Electrical Engineering Faculty of Engineering Kuala Lumpur50603 Malaysia Control and Mechatronics Engineering Department School of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru81310 Malaysia School of Software and Electrical Engineering Faculty of Science Engineering and Technology Swinburne University of Technology MelbourneVIC3122 Australia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur50603 Malaysia

ISBN: (数字)9789811607493

ISBN: (纸本)9789811607486

Maximum power point tracking (MPPT) controllers achieve higher importance due to the high expansion rate of photovoltaic systems. The probability of partial shading conditions (PSCs) is also increased which drastically reduced the maximum power extraction capability from PV systems. In this paper, different types of MPPT algorithms using direct control method have been examined under the same test conditions. The current research trend on MPPT controllers has also been highlighted. This paper gives a brief description to engineers and practitioners working in the area of MPPT controllers. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

关键词： Controllers

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Design of Named Entity Recognition Model for Awingi Language Using Deep Learning Approach

Design of Named Entity Recognition Model for Awingi Language...

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IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Abebe Belew Kassahun Eshetie Derb Amogne Andualem Ayalew Ayodeji Olalekan Salau Sepiribo Lucky Braide Murtala Aminu Buhari Teaching Learning and Technology Team Leader ICT Executive Injibara University Injibara Ethiopia Department of Information Technology School of Computing Institute of Technology Debre Markos University Debre Markos Ethiopia Department of Information System College of Engineering and Technology Injibara University Injibara Ethiopia Department of Electrical/Electronics and Computer Engineering Afe Babalola University Ado-Ekiti Nigeria Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Rivers State University Port Harcourt Nigeria School of Science Engineering & Environment University of Salford United Kingdom

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Named entity recognition is a field of NLP that aims to detect and extract relevant information from unstructured text documents. However, some Ethiopian languages were getting started in different research fields. One of the languages spoken in Ethiopia is called Awingi language has a rich morphology and it is highly lacking in computational linguistic tools. There is some NER research done in Ethiopian language using different approaches and classification techniques, but since there was a lack of study conducted on NER for the Awingi language. This study aims to design a named entity recognition model for the Awngi Language using a deep learning approach with word2vect word embedding techniques. The data collected from AMICO Hiber Awiꬼgi program was posted on social media pages, Awngi Language and Literature department of Injibara University, and Awi Zone Educational and Training department. Therefore, the study uses a newly tagged dataset with 37,133 tokens. Presently, researchers focused on discovering four main named entities such as persons, locations, Dates, and organizations from unstructured Awiꬼgi text by using the three algorithms namely convolutional neural networks, long short-term memory, and bi-directional long-short-term memory. For the feature engineering task, Word2vec and one-hot encoding are utilized. To identify the best-performing model, the researchers have conducted several experiments. Over other algorithms, the Bi-LSTM algorithm before sampling and word embedding performed better results, i.e 95.4%, 92.4%, 95.3%, and 91.2% Accuracy, precision, recall, and f1-score, respectively, and after sampling and word embedding it performed with 99.4%, 97.3%, 99.2%, and 97.2% Accuracy, precision, recall, and f1-score, respectively.

关键词： Deep learning Training Humanities Accuracy Social networking (online) Morphology Named entity recognition Organizations Encoding Long short term memory

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A Self-Supervised Learning Approach for Zero-Day Attack Detection in Network Traffic Analysis

A Self-Supervised Learning Approach for Zero-Day Attack Dete...

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Advanced Algorithms and Control engineering (ICAACE), International Conference on

作者： Jian Xu Heyao Chen Jiaxin Huang Mengyuan Zhao Dongwen Luo Electrical and Electronics Engineering University of Southern California California USA Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China Information Studies Trine University Phoenix USA Information System Northeastern University Oakland USA Department of Microelectronics South China University of Technology Guangzhou China

ISBN: (数字)9798331535087

ISBN: (纸本)9798331535094

This paper presents a self-monitoring approach for zero-day stop detection in network traffic analysis. The plan integrates self-monitoring with an integrated network to identify past attack patterns without relying on technical data show. A novel pre-training mechanism is developed to learn robust feature representations from unlabeled network traffic, enabling effective detection of zero-day attacks. The architecture employs a hierarchical feature extraction approach combined with an adaptive detection mechanism that continuously updates to address concept drift in network traffic patterns. The evaluation has been carried out by various benchmarks, including CICIDS2017 and TON-IoT, showing the effectiveness of the plan. The system achieves a detection rate of 97.8% for zero-day attacks while maintaining a false positive rate of 1.2%, outperforming existing methods. The self-monitoring function of learning reduces the dependence on registered data while maintaining high accuracy. The system demonstrates high performance in various tasks, achieving up to 100,000 flows per second with minimal workload. The evaluation results confirmed the good use in the global network environment, especially in situations where traditional educational monitoring is limited due to the lack of training materials.

关键词： Training Control engineering Adaptive systems Concept drift Network intrusion detection Telecommunication traffic Self-supervised learning Benchmark testing Feature extraction Monitoring

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Ultrahigh-coherence microcomb generation and low-noise amplification using integrated photonics

Ultrahigh-coherence microcomb generation and low-noise ampli...

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IEEE Photonics Conference (IPC)

作者： Xuguang Zhang Zixuan Zhou Yijun Guo Minxue Zhuang Warren Jin Bitao Shen Yujun Chen Jiahui Huang Weiwei Hu Haowen Shu John E. Bowers Xingjun Wang Lin Chang State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing China Department of Electrical and Computer Engineering University of California Santa Barbara Santa Barbara CA USA Frontiers Science Center for Nano-Optoelectronics Peking University Beijing China

ISBN: (数字)9798350361957

ISBN: (纸本)9798350361964

We demonstrate a high-coherence parallel integrated light source utilizing a self-injection locked microcomb and injection locking amplification. Our strategy exhibits a record high on-chip gain of 60 dB, nearly 0 dB noise factor, which enable more than 30 highly coherent channels in integrated photonics whose linewidths down to 10 Hz, power exceeding 20 dBm per line and a wall plug efficiency of 19%.

关键词： Injection-locked oscillators Noise system-on-chip Gain Photonics Plugs Light sources

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VulPin: Finer-Grained Slicing for Pinpointing Vulnerability in Binary Programs 23

VulPin: Finer-Grained Slicing for Pinpointing Vulnerability ...

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Proceedings of the 2023 7th International Conference on computer Science and Artificial Intelligence

作者： Abdulrahman Hamman Adama Chukkol Senlin Luo Haruna Yunusa Abdulganiyu Abdu Yusuf Abulfatahi Mohammed Information and Electronics Department of Information and Electronics. Beijing Institute of Technology Beijing China China Information and Electronics Information System and Security & Countermeasures Experimental Center Beijing Institute of Technology Beijing China China Automation Science and Electrical Engineering School of Automation Science and Electrical Engineering Beihang University Beijing China China Computer Science School of Computer Science and Technology Beijing Institute of Technology Beijing China China Information Technology School of Management and Information Technology Modibbo Adama University Yola Nigeria Nigeria

ISBN: (纸本)9798400708688

Identifying vulnerabilities in binary code with precision is a critical area of study in the field of software security. Most existing techniques fail to pinpoint the vulnerability's exact location, due to the extensive labelled data requirement and lack of targeted approach to improve on the problematic code. In this paper, we introduce VulPin, a system specifically designed to pinpoint vulnerabilities in binary code. This framework uses a hierarchical attention network that analyze program slices along with a vulnerability position matrix. Experimental outcomes indicate that our framework not only outperforms existing approaches but also pinpoints vulnerabilities more rapidly with a high Accuracy and a very low rate of false positives.

关键词： Binary codes KEYWORDS Program slice Neural networks Vulnerability detection Vulnerability pinpoint

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On the Approximation of the Quotient of Two Gaussian Densities for Multiple-Model Smoothing

On the Approximation of the Quotient of Two Gaussian Densiti...

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International Conference on Information Fusion

作者： Yi Liu Xi Li Le Yang Lyudmila Mihaylova Yanbo Xue Department of Electrical and Computer Engineering University of Canterbury Christchurch NZ State Key Lab of Complex Electromagnetic Environment Effects on Electronics and Information Systems National University of Defense Technology Changsha China Department of Automatic Control and System Engineering University of Sheffield Sheffield UK Career Science Lab Beijing China

The quotient of two multivariate Gaussian densities can be written as an unnormalized Gaussian density, which has been applied in some recently developed multiple-model fixed-interval smoothing algorithms. However, this expression is invalid if instead of being positive definite, the covariance of the unnormalized Gaussian density is indefinite (i.e., it has both positive and negative eigenvalues) or undefined (i.e., computing it requires inverting a singular matrix). This paper considers approximating the quotient of two Gaussian densities in this case using two different approaches to mitigate the caused numerical problems. The first approach directly replaces the indefinite covariance of the unnormalized Gaussian density with a positive definite matrix nearest to it. The second approach computes the approximation through solving, using the natural gradient, an optimization problem with a Kullback-Leibler divergence-based cost function. This paper illustrates the application of the theoretical results by incorporating them into an existing smoothing method for jump Markov systems and utilizing the obtained smoothers to track a maneuvering target.

关键词：

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2 in 1 Humidifier + Air Purifier Fuzzy Control system

Journal of Uncertain Systems

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Journal of Uncertain systems 2023年第2期16卷

作者： Khokhar, Salah-Ud-Din Peng, QinKe Noor, Muhammad Yasir Department of Automation Science and Technology System Engineering Institute Xi'an Jiaotong University Xi'an Shaanxi China Department of Computer Science Gc University Lahore Lahore Punjab Pakistan Department of Physics (Electronics) Gc University Lahore Lahore Pakistan

In this modern era, smart home appliance control has quickly penetrated the market. This study explains the design and simulation results of a 2-in-1 humidifier + air purifier control system based on fuzzy rules. The rule block obtains three hard shell input values from air quality, humidity, and water level sensor, divides the sermon space into sections of each individual section with two (2) fuzzy variables, activates rules, and extends the singleton output value to match the output variables individually. Two defuzzifiers are arranged to adjust two actuators: the speed of the humidifier and the speed of the air purifier. The results obtained by MATLAB simulation are consistent with the proposed model, and accurate values are obtained. This study will expand the capabilities of fuzzy logic-based control systems in the process of systematization and potential returns. Using MATLAB Simulink R2016b, the design goals are achieved. © 2023 World Scientific Publishing Company.

关键词： Air purifier fuzzy logic humidifier inference engine rule block

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