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GBI-Based Wireless Home Automation system Using IoT 1

3rd International Conference on Computer Science, Electrical and electronic engineering, ICCEE 2021

作者： Javaid, Anas Pazil, Anis Fariza Md. Siong, Chong Hock Ramli, Nurulazlina Centre of Advanced Electrical & Electronic System Faculty of Engineering Built Environment and Information Technology SEGi University Selangor Petaling Jaya47810 Malaysia

ISBN: (数字)9789811697814

ISBN: (纸本)9789811697807

This paper proposed the design and implementation of Green Building Index (GBI)-based of home automation for monitoring and controlling with safety features integrated by the adoption of Internet of Things. The GBI criteria encompasses the energy efficiency, indoor environmental quality, water efficiency and innovation were implemented for this project focusing on lighting, heating, and ventilation of indoor and outdoor applications. The integration of smart plant irrigation system with rainwater harvesting system is also proposed for plants watering automation. To complement the GBI-based innovation criteria, the add-on features of smart security system such as facial recognition, movement and flame detection using various sensors were also incorporated into the design. In the end, all of the subsystems are connected into the cloud server for electrical power consumption monitoring performed by the smart energy meter. Finally, a working prototype is developed to address the proposed solutions and has successfully accomplished all tested conditions. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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3D bioprinting of in vitro porous hepatoma models:establishment,evaluation,and anticancer drug testing

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Bio-Design and Manufacturing 2024年第2期7卷 137-152页

作者： Xiaoyuan Wang Zixian Liu Qianqian Duan Boye Zhang Yanyan Cao Zhizhong Shen Meng Li Yanfeng Xi Jianming Wang Shengbo Sang Shanxi Key Laboratory of Micro Nano Sensors and Artificial Intelligence Perception College of Electronic Information and Optical EngineeringTaiyuan University of TechnologyTaiyuan 030024China Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education Taiyuan University of TechnologyTaiyuan 030024China Shanxi Institute of 6D Artificial Intelligence Biomedical Science Taiyuan 030031China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan 030024China Department of Pathology Shanxi Provincial Cancer HospitalTaiyuan 030024China General Hospital of Taiyuan Iron and Steel Company Taiyuan 030809China

Traditional tumor models do not tend to accurately simulate tumor growth in vitro or enable personalized treatment and are particularly unable to discover more beneficial targeted *** address this,this study describes the use of threedimensional(3D)bioprinting technology to construct a 3D model with human hepatocarcinoma SMMC-7721 cells(3DP-7721)by combining gelatin methacrylate(GelMA)and poly(ethylene oxide)(PEO)as two immiscible aqueous phases to form a bioink and innovatively applying fluorescent carbon quantum dots for long-term tracking of *** GelMA(10%,mass fraction)and PEO(1.6%,mass fraction)hydrogel with 3:1 volume ratio offered distinct pore-forming characteristics,satisfactorymechanical properties,and biocompatibility for the creation of the 3DP-7721 *** analysis and quantitative real-time fluorescence polymerase chain reaction(PCR)were used to evaluate the biological properties of the *** with the two-dimensional culture cell model(2D-7721)and the 3D mixed culture cell model(3DM-7721),3DP-7721 significantly improved the proliferation of cells and expression of tumor-related proteins and ***,we evaluated the differences between the three culture models and the effectiveness of antitumor drugs in the three models and discovered that the efficacy of antitumor drugs varied because of significant differences in resistance proteins and genes between the three *** addition,the comparison of tumor formation in the three models found that the cells cultured by the 3DP-7721 model had strong tumorigenicity in nude *** evaluation of the levels of biochemical indicators related to the formation of solid tumors showed that the 3DP-7721 model group exhibited pathological characteristics of malignant tumors,the generated solid tumors were similar to actual tumors,and the deterioration was *** research therefore acts as a foundation for the application of 3DP-7721 models in drug devel

关键词： 3D bioprinting Hepatoma tumor models Drug screening Antitumor drug development

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A Cross-Scale Multi-Branch Feature Fusion Based Method for Smoke and Fire Detection in Warehouses 24

A Cross-Scale Multi-Branch Feature Fusion Based Method for S...

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13th International Conference on Computing and Pattern Recognition, ICCPR 2024

作者： Bai, Yanbing Liu, Pengyu Liu, Weilong Deng, Yiyang Kong, Lili Chen, Shanji Chen, Jiali Yuan, Bowen School of Information Science and Technology Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University Of Technology Beijing China Information Technology Co. Ltd Dingzhou China Beijing-Dublin International College at BJUT Beijing University Of Technology Beijing China College of Physics and Electronic Information Engineering Qinghai Minzu University Qinghai China

ISBN: (纸本)9798400717482

To address the challenges of leakage, misdetection, and low accuracy caused by environmental complexity, object occlusion, and insufficient lighting in smoke and fire detection within warehouse scenarios, this paper proposes a cross-scale multi-branch feature fusion network for smoke and fire detection, named SF-YOLO. Firstly, a multi-branch feature enhancement module, Res2Net-C, is proposed to introduce an attention mechanism using a multi-branch feature fusion network, which not only extends the sensory field of the network, but also enhances the ability of extracting effective information, while effectively suppressing the interference of irrelevant information. It effectively improves detection performance under complex environmental conditions and in the presence of object occlusion. Secondly, a cross-scale feature fusion network structure, MSFPN, is proposed, which achieves effective complementation and fusion of high-level and low-level information by establishing hopping connections between features at different scales, and significantly improves the recognition accuracy of the type and location of the smoke and fire in low-light conditions. In addition, the added small target detection layer further improves the network's ability to detect small targets. Finally, in order to better adapt to pyrotechnic targets with variable morphology, EIoU is adopted as the bounding box loss function. Test results on a self-built dataset show that SF-YOLO achieves a mean accuracy rate (mAP) of 87.5% in the task of detecting smoke and fire under multiple environmental factors in a warehouse scenario, proving its effectiveness and usefulness. © 2024 Copyright held by the owner/author(s).

关键词： Deep learning

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Wideband Channel Measurement and Characterization Based on 5G Passive Sounding in Railway Scenarios

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China Communications 2025年第4期22卷 13-26页

作者： Zheng Peng Fei Dan Chen Chen Chen Haoran Huang Yanyan Ai Bo School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong UniversityBeijing 100044China Nanjing Rongcai Transportation Technology Research Institute Co. LtdNanjing 211121China Frontiers Science Center for Smart High-Speed Railway System Beijing Jiaotong UniversityBeijing 100044China

With the development of wireless communication,the fifth generation mobile communication technology(5G)has emerged as a hot topic in highspeed railway communication system and has moved towards industrial *** the radio propagation characteristics in 5G high-speed train(HST)scenarios is essential for enhancing wireless coverage and overall system *** propose a novel 5G passive sounding scheme to extract channel impulse responses(CIRs)using channel state information reference signals(CSI-RS)from the target 5G base station(BS).Detailed procedures for timefrequency synchronization,CSI-RS detection and extraction are presented through *** the laboratory work involving absolute power calibration,phase coherence calibration and power delay profile(PDP)validation,we validate the accuracy and performance of the developed ***,a measurement campaign was conducted in HST scenarios encompassing both residential and undeveloped *** path loss(PL)model and the channel characteristics including stationarity interval(SI),multipath components(MPCs),shadow fading(SF),Rician K-factor,root mean square(RMS)delay spread and received correlation coefficients are analyzed and *** estimated channel characteristics and the statistical model presented in this paper will contribute to the research on HST radio propagation and the development of 5G railway communication systems.

关键词： 5G channel characterization channel measurement high-speed train passive sounding

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Proposal of a novel peeling of nano-particle (PNP) process for localized material removal on a hard material surface by controllable magnetic fields 22

Proposal of a novel peeling of nano-particle (PNP) process f...

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22nd International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2022

作者： Permpatdechakul, Thitipat Khajornrungruang, Panart Suzuki, Keisuke Kutomi, Shotaro Graduate School of Computer Science and System Engineering Mechanical Information Science and Technology Course Kyushu Institute of Technology Fukuoka Japan Department of Intelligent and Control Systems Avanced Mechanical Division Kyushu Institute of Technology Fukuoka Japan School of Computer Science and System Engineering Advanced Mechanical Course Kyushu Institute of Technology Fukuoka Japan

ISBN: (纸本)9781998999118

This article proposes a novel Peeling of Nano-Particle (PNP) process to locally remove material on a hard material surface using controllable magnetic fields. Fe3O4 particles in the size range of 50-100 nm in aqueous solution (pH value 11 adjusted by KOH) were magnetically controlled to adhere and remove from a 4H-SiC surface by two electromagnetic coils, which were sandwiched between the substrate. The particle controlling phenomenon on the surface was experimentally observed and verified by our developed apparatus applying an evanescent field. According to the results, particles could be controlled to approach and remove from the substrate surface with 12mT of magnetic field at the selective area on the substrate surface to realise the proposed PNP process. © European Society for Precision engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Magnetic fields

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Pavement Disease Detection and Segmentation 12

Pavement Disease Detection and Segmentation

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12th International Conference on Computing and Pattern Recognition, ICCPR 2023

作者： Liu, Pengyu Chen, Jiali Chen, Shanji Yuan, Jing Faculty of Information Technology Beijing University of Technology Beijing China Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology Beijing China Faculty of Physics and Electronic Information Engineering Qinghai Minzu University Qinghai Xining China

ISBN: (纸本)9798400707988

Pavement disease identification based on target detection and image segmentation is a common method in the maintenance of pavement diseases, which has great study value for the repair of road disease and road health status assessment. The study use pavement disease as the target, building segmention data set and detection data set which contains pothole, lateral crack, longitudinal crack and mesh crack. For the detection task, the pavement disease detection model is based on the improved YOLOv5, and the model's mAP is 94.2%. For the segmentation task, pavement disease segmentation model is based on the improved U-Net, and the model's mIOU is 94.4%. © 2023 ACM.

关键词： Pavements

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Higher Order OAM Mode Generation Using Wearable Antenna for 5G NR Bands

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Computer systems Science & engineering 2023年第10期47卷 537-551页

作者： Shehab Khan Noor Arif Mawardi Ismail Mohd Najib Mohd Yasin Mohamed Nasrun Osman Thennarasan Sabapathy Shakhirul Mat Salleh Ping Jack Soh Ali Hanafiah Rambe Nurulazlina Ramli Advanced Communication Engineering(ACE) Centre of ExcellenceFaculty of Electronic Engineering&TechnologyUniversiti Malaysia PerlisKangarPerlisMalaysia Faculty of Engineering Technology(FTK) Department of Electronic Engineering TechnologyUniversiti Malaysia Perlis(UniMAP)Unicity Alam Campus02100Padang BesarPerlisMalaysia Centre for Wireless Communications(CWC) University of Oulu90570OuluFinland Department of Electrical Engineering Universitas Sumatera UtaraMedan20155Indonesia Centre for Advanced Electrical and Electronic System(CAEES)Faculty of Engineering Built Environment and Information TechnologySEGi University SelangorMalaysia

This paper presents a flexible and wearable textile array antenna designed to generate Orbital Angular Momentum(OAM)waves with Mode+2 at 3.5 GHz(3.4 to 3.6 GHz)of the sub-6 GHz fifth-generation(5G)New Radio(NR)*** proposed antenna is based on a uniform circular array of eight microstrip patch antennas on a felt textile *** contrast to previous works involving the use of rigid substrates to generate OAM waves,this work explored the use of flexible substrates to generate OAM waves for the first *** than that,the proposed antenna was simulated,analyzed,fabricated,and tested to confirm the generation of OAMMode+*** the same design,OAM Mode−2 can be generated readily simply by mirror imaging the feed *** that the proposed antenna operated at the desired frequency of 3.5 GHz with an overall bandwidth of 400 MHz in free ***,mode purity analysis is carried out to verify the generation of OAM Mode+2,and the purity obtained was 41.78%at free space flat ***,the effect of antenna bending on the purity of the generated OAM mode is also ***,the influence of textile properties on OAM modes is examined to assist future researchers in choosing suitable fabrics to design flexible OAM-based *** a comprehensive analysis considering different factors related to wearable applications,this paper demonstrates the feasibility of generating OAMwaves using textile ***,as per the obtained Specific Absorption Rate(SAR),it is found that the proposed antenna is safe to be *** findings of this work have a significant implication for body-centric communications.

关键词： Wearable antenna OAM vortex waves 5G textile antenna microstrip patch antenna specific absorption rate(SAR)

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Port-controllable routing of orbital angular momentum modes using a rotatable diffractive neural network

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Science China(Physics,Mechanics & Astronomy) 2025年第6期Mechanics & Astronomy) .卷 158-167页

作者： Junmin Liu Jiafu Chen Qingji Zeng Zemin Liang Xinping Wu Xin Zhao Jiangnan Xiao Huapeng Ye Ze Dong Dianyuan Fan Shuqing Chen Institute of Microscale Optoelectronics Shenzhen University College of New Materials and New Energies Shenzhen Technology University Terahertz Technology Innovation Research Institute Shanghai Key Laboratory of Modern Optical System Terahertz Science Cooperative Innovation Center School of Optical-Electrical Computer Engineering University of Shanghai for Science and Technology Guangdong Provincial Key Laboratory of Optical Information Materials and Technology & Institute of Electronic Paper Displays South China Academy of Advanced Optoelectronics South China Normal University School of Information and Electronics Beijing Institute of Technology

Orbital angular momentum(OAM) modes provide an additional orthogonal physical dimension, offering transformative potential for enhancing optical communication capacity. Despite significant progress in mode multiplexing, the development of robust communication networks faces persistent challenges, particularly in effectively routing and controlling these multiplexed channels among network nodes. To tackle these dilemmas, we propose a rotatable diffractive neural network(R-DNN) strategy and demonstrate its capability for port-controllable OAM mode routing. By leveraging the correlation between the orthogonal evolution of OAM modes in free space and phase modulations during propagation, the R-DNN precisely shapes the spatial evolution of mode fields through multiple rotatable phase layers, enabling efficient routing to specific output ports. This approach exploits the interaction of secondary wavelets with the relative states of the rotatable layers, allowing on-demand control of mode evolution paths and enhancing routing flexibility. As a proof of concept, we developed a tri-functional router that successfully directs three OAM modes to individually controllable output ports. This router achieves an average intermode crosstalk of less than-16.4 dB across three functional states, one-dimensional, two-dimensional, and cross-connected switching, while supporting the routing of 5.85 Tbit/s quadrature phase-shift keying signals. These results highlight the R-DNN's effectiveness in achieving precise and controllable OAM mode manipulation, paving the way for advanced applications in mode-multiplexed communication networks and beyond.

关键词： orbital angular momentum mode mode routing diffractive neural network

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Textile Characterisation for Wearable Antenna Application using Transmission Line Measurement

Textile Characterisation for Wearable Antenna Application us...

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2023 IEEE International Symposium on Antennas and Propagation, ISAP 2023

作者： Pazil, Md.A.F. Rahman, N.H. Abd Ramli, N. Awang, R.A. Centre for Advanced Electrical & Electronic System Faculty of Engineering Built Environment and Information Technology SEGi University Petaling JayaSelangor 47810 Malaysia Antenna Research Centre School of Electrical Engineering College of Engineering University Teknologi MARA Selangor Shah Alam40450 Malaysia

ISBN: (纸本)9798350341140

This paper presents the conductivity measurement and analysis technique for the conductive textile on low loss and lossy substrates using transmission line measurement. This method is proposed to determine the accurate conductivity properties of the samples based on the transmission parameters, S21 of a two-port transmission line. The experiments were performed on conductive samples;pure copper as a reference and a conductive textile called Shieldit Super. Three samples were fabricated;Copper Pure on Rogers RO5880 as a reference sample, Shieldit Super on R05880 as sample 2 and Shieldit Super on felt fabric as sample 3. Operating at 1.575 GHz, simulation and measurement were carried out to analyse the properties of these three samples. The result shows a close agreement of the measured S21 for the three samples to the simulated value. Result is plotted to observe the conductivity behaviour for all samples and found correlates with the theoretical equation showing the lower the transmission loss, the higher the conductivity, resulting in higher antenna gain performance. Furthermore, a close match is demonstrated for the conductivity results for all fabricated samples to the expected conductivity. Hence, applying the correct technique to measure the material conductivity is imperative, especially for high-frequency applications like antennas. © 2023 IEEE.

关键词： characterisation conductive textile Conductivity textile transmission line measurement wearable antenna

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VideoQA-SC: Adaptive Semantic Communication for Video Question Answering

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IEEE Journal on Selected Areas in Communications 2025年

作者： Guo, Jiangyuan Chen, Wei Sun, Yuxuan Xu, Jialong Ai, Bo State Key Laboratory of Advanced Rail Autonomous Operation China Beijing Jiaotong University School of Electronic and Information Engineering Beijing China School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China Beijing Jiaotong University Frontiers Science Center for Smart High-speed Railway System School of Electronic and Information Engineering Beijing China Zhengzhou University School of Information Engineering Zhengzhou China

Although semantic communication (SC) has shown its potential in efficiently transmitting multimodal data such as texts, speeches and images, SC for videos has focused primarily on pixel-level reconstruction. However, these SC systems may be suboptimal for downstream intelligent tasks. Moreover, SC systems without pixel-level video reconstruction present advantages by achieving higher bandwidth efficiency and real-time performance of various intelligent tasks. The difficulty in such system design lies in the extraction of task-related compact semantic representations and their accurate delivery over noisy channels. In this paper, we propose an end-to-end SC system, named VideoQA-SC for video question answering (VideoQA) tasks. Our goal is to accomplish VideoQA tasks directly based on video semantics over noisy or fading wireless channels, bypassing the need for video reconstruction at the receiver. To this end, we develop a spatiotemporal semantic encoder for effective video semantic extraction, and a learning-based bandwidth-adaptive deep joint source-channel coding (DJSCC) scheme for efficient and robust video semantic transmission. Experiments demonstrate that VideoQA-SC outperforms traditional and advanced DJSCC-based SC systems that rely on video reconstruction at the receiver under a wide range of channel conditions and bandwidth constraints. In particular, when the signal-to-noise ratio is low, VideoQA-SC can improve the answer accuracy by 5.17% while saving almost 99.5% of the bandwidth at the same time, compared with the advanced DJSCC-based SC system. Our results show the great potential of SC system design for video applications. © 1983-2012 IEEE.

关键词： Bandwidth

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