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Real-Time Tunable Gas Sensing Platform Based on SnO2 Nanoparticles Activated by Blue Micro-Light-Emitting Diodes

Nano-Micro Letters 2024年第12期 111-127页

作者： Gi Baek Nam Jung-El Ryu Tae Hoon Eom Seung Ju Kim Jun Min Suh Seungmin Lee sungkyun Choi Cheon Woo Moon Seon Ju Park Soo Min Lee Byungsoo Kim sung Hyuk Park Jin Wook Yang Sangjin Min Sohyeon Park sung Hwan Cho Hyuk Jin Kim Sang Eon Jun Tae Hyung Lee Yeong Jae Kim Jae Young Kim Young Joon Hong Jong-In Shim Hyung-Gi Byun Yongjo Park Inkyu Park Sang-Wan Ryu Ho Won Jang Department of Materials Science and Engineering Seoul National University Research Laboratory of Electronics Department of Mechanical Engineering Massachusetts Institute of Technology Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Department of Display Materials Engineering Soonchunhyang University Department of Photonics and Nanoelectronics BK21 FOUR ERICA-ACE Center Hanyang University ERICA Department of Nanotechnology and Advanced Materials Engineering Sejong University Department of Electronics Information and Communication Engineering Kangwon National University Advance Institute of Convergence Technology Seoul National University Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Department of Physics Chonnam National University

Micro-light-emitting diodes（μLEDs） have gained significant interest as an activation source for gas sensors owing to their advantages, including room temperature operation and low power consumption. However, despite these benefits, challenges still exist such as a limited range of detectable gases and slow response. In this study, we present a blue μLED-integrated light-activated gas sensor array based on SnO2nanoparticles（NPs） that exhibit excellent sensitivity, tunable selectivity, and rapid detection with micro-watt level power consumption. The optimal power for μLED is observed at the highest gas response, supported by finite-difference time-domain simulation. Additionally, we first report the visible light-activated selective detection of reducing gases using noble metal-decorated SnO2NPs. The noble metals induce catalytic interaction with reducing gases, clearly distinguishing NH3, H2, and C2H5OH. Real-time gas monitoring based on a fully hardwareimplemented light-activated sensing array was demonstrated, opening up new avenues for advancements in light-activated electronic nose technologies.

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Electrodeposition behavior and characteristics of Ni-carbon nanotube composite coatings

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Transactions of Nonferrous Metals Society of China 2011年第A01期21卷 68-72页

作者： sung-Kyu KIM Tae-sung OH Department of Materials Science and Engineering Hongik University

Ni-CNT (carbon nanotube) composite coatings were processed by electrodeposition and their hardness and corrosion characteristics were investigated with variations of CNT concentration in an electrolyte solution and electrodeposition current density. With increasing the CNT concentration in the electrodeposition bath and the current density, more CNTs are incorporated into Ni matrix. Hardness values of the Ni-CNT coatings are irrelevant to the CNT concentration in the solution, the current density, and current mode, implying poor adhesion of CNTs to Ni matrix. With increasing the CNT content in the coating, the corrosion resistance of the Ni-CNT composite coating becomes inferior due to the porous microstructure.

关键词： composite coating carbon nanotube electrodeposition

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UV-assisted flash light welding process to fabricate silver nanowire/graphene on a PET substrate for transparent electrodes

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Nano Research 2018年第4期11卷 2190-2203页

作者： Wan-Ho Chung sung-Hyeon Park sung-Jun Joo Hak-sung Kim Department of Mechanical Engineering Hanyang University 17 Haendang-Dong Seongdong-Gu Seoul 133-791 Republic of Korea Institute of Nano Science and Technology Hanyang University Seou1133-791 Republic of Korea

Graphene oxide and silver nanowires were bar coated onto polyethylene terephthalate （PET） substrates and then welded using an ultraviolet （UV）-assisted flash light irradiation process to achieve both high electrical conductivity and low haze. The irradiation process connected adjacent silver nanowires by welding, while simultaneously reducing the graphene oxide to graphene. This process was performed using a custom W-assisted flash light welding system at room temperature under ambient conditions and was extremely rapid, with processing time of several milliseconds. The effects of varying the weight fractions of the silver nanowires and graphene oxide and of varying the W-assisted flash light welding conditions （light energy and pulse duration） were investigated. The surface morphologies of the welded silver nanowire/graphene films were analyzed using scanning electron microscopy. Optical characterizations, including transmittance and haze measurements, were also conducted using a spectrophotometer. To test their resistance to oxidation, the welded silver nanowire/graphene films were subjected to high temperature in a furnace （100 ℃）, and their sheet resistances were measured every hour. The flash light welding process was found to yield silver nanowire/graphene films with high oxidation resistance, high conductivity （14.35 Ω·sq-1）, high transmittance （93.46%）, and low haze （0.9%）. This material showed uniform temperature distribution when applied as a resistive heating film.

关键词： silver nanowires graphene oxide transparent electrode flash light welding printed electronics

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Controlling the contact levels of details for fast and precise haptic collision detection

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Frontiers of Information Technology & Electronic Engineering 2017年第8期18卷 1117-1130页

作者： A Ram CHOI sung Min KIM Mee Young sung Department of Computer Science and Engineering lncheon National University lncheon Korea

For accurate and stable haptic rendering, collision detection for interactive haptic applications has to be done by filling in or covering target objects as tightly as possible with bounding volumes （spheres, axis-aligned bounding boxes, oriented bounding boxes, or polytopes）. In this paper, we propose a method for creating bounding spheres with respect to the contact levels of details （CLOD）, which can fit objects while maintaining the balance between high speed and precision of collision detection. Our method is composed mainly of two parts： bounding sphere formation and two-level collision detection. To specify further, bounding sphere formation can be divided into two steps： creating spheres and clustering spheres. Two-level collision detection has two stages as well： fast detection of spheres and precise detection in spheres. First, bounding spheres are created for initial fast probing to detect collisions of spheres. Once a collision is probed, a more precise detection is executed by examining the distance between a haptie pointer and each mesh inside the colliding boundaries. To achieve this refmed level of detection, a special data structure of a bounding volume needs to be defined to include all mesh information in the sphere. After performing a number of experiments to examine the usefulness and performance of our method, we have concluded that our algorithm is fast and precise enough for haptic simulations. The high speed detection is achieved through the clustering of spheres, while detection precision is realized by voxel-based direct collision detection. Our method retains its originality through the CLOD by distance-based clustering.

关键词： Collision detection Haptic rendering Bounding sphere Clustering Contact levels of details (CLOD)

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Clinicopathologic features of surgically resected primary gastric lymphoma

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World Journal of Gastroenterology 2004年第8期10卷 1103-1109页

作者： Seong-HoKong Do-JoongPark Hyuk-joonlee Han-KwangYang Kuhn-UkLee Kuk-JinChoe Min-AKim Hye-SeungLee Chul-WooKim Dae-SeogHeo Chul-Woo Kim Dae-Seog Heo Department of Surgery Seoul National University College of MedicineSeoulKorea Cancer Research Institute Seoul National University College of MedicineSeoulKorea Department of Pathology Seoul National University College of MedicineSeoulKorea Tumor Immunity Medical Research Center and Cancer Research Institute Seoul National University College of MedicineSeoulKorea Department of Internal Medicine Seoul National University College of MedicineSeoulKorea

AIM:To analyze the clinicopathologic characteristics of surgically resected gastric lymphoma patients. METHODS:We retrospectively analyzed 57 surgically resected gastric lymphoma patients,dividing them into 2 subgroups:Low grade MALToma (the LG group),High grade MALToma and Diffuse large B cell lymphoma (the HG group). RESULTS:The numbers of patients were:20 in the LG group, 37 in the HG *** diagnostic rate of gastroscopy was 34.8% at primary diagnosis and 50% including differential *** positive rates of Hpyloriwere similar between the 2 groups (68% vs77%).Multiple lesions were found in 19.3%.The proportion of mucosal and submucosal lesions was 80.0%(16/20) in the LG group,and 24.3%(9/37) in the HG group (P<0.001).Lymph node invasion rates were 10.5%(2/19) in the LG group and 44.1%(15/34) in the HG group (P=0.031).The numbers of recurred patients were none in the LG group,and 8 in the HG *** univariant analysis,group (P=0.024) and TNM stage (stage Ⅰ,Ⅱ vs stages Ⅲ,Ⅳ,P=0.002) were found to be the significant risk *** was a tendency of higher recurrence rate in the subtotal gastrectomy group than in the total gastrectomy group (P=0.50). CONCLUSION:The HG groups had a more advanced stage and a higher recurrence rate than the LG *** there was no difference between subtotal and total gastrectomies,more careful assessments of multiplicities and radical resections with lymph node dissections seem to be needed because of multiplicity and LN invasion even in LG group.

关键词： Adenocarcinoma Adult Aged Disease-Free Survival Female Gastrectomy Helicobacter Infections Humans Lymphoma, B-Cell Lymphoma, Large-Cell, Diffuse Male Middle Aged Retrospective Studies Stomach Neoplasms Treatment Outcome

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Utilizing Blockchain Technology to Improve WSN Security for Sensor Data Transmission

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Computers, Materials & Continua 2021年第8期68卷 1899-1918页

作者： sung-Jung Hsiao Wen-Tsai sung Department of Information Technology Takming University of Science and TechnologyTaipei City11451Taiwan Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung41170Taiwan

This paper proposes a method for improving the data security of wireless sensor networks based on blockchain *** technology is applied to data transfer to build a highly secure wireless sensor *** this network,the relay stations use microcontrollers and embedded devices,and the microcontrollers,such as Raspberry Pi and Arduino Yun,represents mobile *** proposed system uses microcontrollers to facilitate the connection of various sensor *** adopting blockchain encryption,the security of sensing data can be effectively improved.A blockchain is a concatenated transaction record that is protected by *** section contains the encrypted hash of the previous section,the corresponding timestamp,and transaction *** transaction data denote the sensing data of the wireless sensing *** proposed system uses a hash value representation calculated by the Merkel-tree algorithm,which makes the transfer data of the system difficult to be tamped ***,the proposed system can serve as a private cloud data *** this study,the system visualizes the data uploaded by sensors and create relevant charts based on big data *** the webpage server of the proposed system is built on an embedded operating system,it is easy to model and visualize the corresponding graphics using Python or JavaScript programming ***,this study creates an embedded system mobile database and web server,which can utilize JavaScript program language and *** runtime environment to apply blockchain technology to mobile *** proposed method is verified by the experiment using about 1600 data *** results show that the possibility of data being changed is very small,and the probability of data being changed is almost zero.

关键词： Blockchain embedded system big data analysis python javascript node.js

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RFID Positioning and Physiological Signals for Remote Medical Care

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Computer Systems Science & Engineering 2022年第4期41卷 289-304页

作者： Wen-Tsai sung sung-Jung Hsiao Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung411030Taiwan Department of Information Technology Takming University of Science and TechnologyTaipei City11451Taiwan

The safety of patients and the quality of medical care provided to them are vital for their *** study establishes a set of RFID(Radio Fre-quency Identiﬁcation)-based systems of patient care based on physiological sig-nals in the pursuit of a remote medical care *** RFID-based positioning system allows medical staff to continuously observe the patient's health and *** staff can thus respond to medical emergencies in time and appropriately care for the *** the COVID-19 pandemic broke out,the proposed system was used to provide timely information on the location and body temperature of patients who had been screened for the *** results of experiments and comparative analyses show that the proposed system is superior to competing systems in *** use of remote monitoring technology makes user interface easier to provide high-quality medical services to remote areas with sparse populations,and enables better care of the elderly and patients with mobility *** can be found from the experiments of this research that the accuracy of the position sensor and the ability of package delivery are the best among the other related *** presentation of the graphical interface is also the most cordial among human-computer interaction and the operation is simple and clear.

关键词： Remote medical care active RFID positioning physiological signal

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Improving Speech Enhancement Framework via Deep Learning

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Computers, Materials & Continua 2023年第5期75卷 3817-3832页

Speech plays an extremely important role in social *** individuals suffer from a“speech barrier,”which limits their communication with *** this study,an improved speech recognitionmethod is proposed that addresses the needs of speech-impaired and deaf individuals.A basic improved connectionist temporal classification convolutional neural network(CTC-CNN)architecture acoustic model was constructed by combining a speech database with a deep neural *** sensors were used to convert the collected voice signals into text or corresponding voice signals to improve *** method can be extended to modern artificial intelligence techniques,with multiple applications such as meeting minutes,medical reports,and verbatim records for cars,sales,*** experiments,a modified CTC-CNN was used to train an acoustic model,which showed better performance than the earlier common *** a CTC-CNN baseline acoustic model was constructed and optimized,which reduced the error rate to about 18%and improved the accuracy rate.

关键词： Artificial intelligence speech recognition speech to text CTC-CNN

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Utilizing the Improved QPSO Algorithm to Build a WSN Monitoring System

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Computers, Materials & Continua 2022年第2期70卷 3529-3548页

This research uses the improved Quantum Particle Swarm Optimization(QPSO)algorithm to build an Internet of Things(IoT)life comfort monitoring system based on wireless sensing *** purpose is to improve the quality of intelligent *** functions of the system include automatic basketball court lighting system,monitoring of infants’sleeping posture and accidental falls of the elderly,human thermal comfort measurement and other related life comfort services,*** the hardware system of the IoT,this research is based on the latest version of ZigBee 3.0,which uses optical sensors,3-axis accelerometers,and temperature/humidity sensors in the IoT perception *** the network transmission layer,the central network architecture is used for *** the application layer,we have designed a graphical interface for real-time values and information that can be read at any time and place using mobile *** this study,authors use the improved QPSO algorithm in the calculation part,so that the target can be effectively positioned outside the numerous surveillance *** study uses various sensor data fusion technologies to make the IoT system becomes able to provide more extensive and even better services than ever *** short,this research work has proven to be an effective way to reduce power consumption,improve medical quality and provide higher comfort for intelligent lift level.

关键词： Quantum particle swarm optimization IoT wireless sensor network ZigBee

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Home Monitoring of Pets Based on AIoT

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Computer Systems Science & Engineering 2022年第10期43卷 59-75页

作者： Wen-Tsai sung sung-Jung Hsiao Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung City411030Taiwan Department of Information Technology Takming University of Science and TechnologyTaipei City11451Taiwan

With technological and social development in recent decades,people have begun pursuing more comfortable lives that frequently feature household pets that are treated like members of the *** average,one out of every three households has a *** has also led to the creation and growth of many businesses in the pet industry.A few companies have developed a system that allows busy office workers to remotely care for pets at home based on the Internet of Things and an intelligent adjustment *** owners of two dogs,the authors of this study observed their pets’living habits and recorded environmental conditions that appear suitable for *** data were then used to develop an automatic control system to care for *** observational data on the pets’habits and environment were written in a program in Arduino by using the ESP8266 Wi-Fi *** module and booster module control is the switch and setting of various household *** to the loop setting of the program,the system does not need to manually switch or adjust the electrical settings of the ***,the pet's living environment is assessed by using various *** use of Arduino programs helps develop a system that can automatically adjust the environment to one that is most suitable for the pet's comfort.

关键词： Remote medical care active RFID positioning physiological signal

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