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2023 9th International Conference on Applied System Innovation (ICASI)最新文献

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Research and development of new electric vehicle rearview mirror system with intelligent networking system 新型电动汽车智能网联后视镜系统的研究与开发
Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179591
J. Lin, Cheng-Jen Lin, Hong-Sheng Cai
This study researches and develops the new electric vehicle rearview mirror system of the intelligent network system. It has dual spindles to select the direction of rotation. Its functions include: (1) In addition to developing electric rearview mirrors for electric vehicles, it is equipped with memory motors, which can memorize at least 3 sets of positions. To provide the electric rearview mirror memory angle for electric vehicle driving, you can choose outside the rearview mirror angle and can memorize up to 3 sets of angles, which guarantees the initial safe driving angle of electric vehicle driving. (2) The second rotation axis design, linked driving steering wheel device can provide the rearview mirror to adjust the angle of view direction synchronously when the electric vehicle is driving and turning, so as to ensure that the steering has no dead angle design. After various tests, the error values of the designed control parameters are all below 3%, reaching and safe setting.
本课题研究开发了新型电动汽车后视镜智能网联系统。它有双主轴来选择旋转方向。其功能包括:(1)除开发电动汽车电动后视镜外,还配备了记忆电机,可记忆至少3组位置。为电动汽车行驶提供电动后视镜记忆角度,可选择后视镜外角度,最多可记忆3组角度,保证了电动汽车行驶的初始安全驾驶角度。(2)第二旋转轴设计,联动驱动方向盘装置可提供后视镜,在电动汽车行驶和转弯时同步调整视角方向,保证转向无死角设计。经过多次试验,设计的控制参数误差值均在3%以下,达到安全整定。
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引用次数: 0
Performance Improvement of sol-gel prepared cerium oxide as gate oxide on Si MOS with various volumes of the chelating agent 不同体积螯合剂对溶胶-凝胶法制备氧化铈栅极氧化物的性能影响
Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179519
Chih-Feng Yen, Chung-Hung Lin, H. Hsu, Yu-De Lin
In this study, a cerium oxide (CeO2) thin film on Metal-Oxide-Semiconductor (MOS) structure was prepared by sol-gel method. Cerium nitrate (Ce(NO3)3·6H2O) powder and isopropanol solution was used as the coating solution and various chelating agent (glacial acetic acid) volumes of 0, 2, 3, 4, and 5 ml were mixed in hit to prepare CeO2 films, and annealed with oxygen for 1 hour. The electrical characteristics were measured to examine the film qualities, including oxide capacitance (Cox), leakage current density, k value, equivalent oxide thickness (EOT), effective oxide charge density (QEFF), and interface density (Dit). The corresponding values are 79.1 pF, 6.4×10-4 A/cm2 at +5V, 24, 30.9 nm, 2.03×1011 cm-2, and 1.93 × 1011 cm-2eV-1, respectively. Based on these data, it can be considered that CeO2 thin films by sol-gel method on Si exhibit a good quality and can be used as an advanced gate oxide on MOS structure in the near future.
本文采用溶胶-凝胶法制备了金属-氧化物-半导体(MOS)结构的氧化铈(CeO2)薄膜。以硝酸铈(Ce(NO3)3·6H2O)粉末和异丙醇溶液为包衣溶液,将0、2、3、4、5 ml的各种螯合剂(冰醋酸)混合在hit中制备CeO2薄膜,用氧气退火1小时。通过测量电学特性来检测薄膜质量,包括氧化物电容(Cox)、漏电流密度、k值、等效氧化物厚度(EOT)、有效氧化物电荷密度(QEFF)和界面密度(Dit)。对应值分别为79.1 pF, 6.4×10-4 A/cm2 +5V, 24, 30.9 nm, 2.03×1011 cm-2和1.93 ×1011 cm-2eV-1。综上所述,可以认为溶胶-凝胶法制备的CeO2薄膜质量良好,在不久的将来可作为MOS结构上的高级栅极氧化物。
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引用次数: 0
Deep Learning-based Hybrid Precoding and Combining Designs for Millimeter Wave MIMO Systems 基于深度学习的毫米波MIMO系统混合预编码与组合设计
Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179573
Jia-Jhe Song, Yung-Fang Chen
In this paper, we apply deep learning-based (DL) approach to solve the hybrid precoding and combining design problem in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. After training process, we feed testing data set into neural network (NN) and obtain phases of RF analog precoders and combiners. Given a RF analog precoder, we can acquire baseband precoders by using least square solution and the similar way is applied to RF analog combiner to acquire baseband combiner. As indicated in the simulation results for the evaluated spectral efficiency based on the outputs of DNN, it shows that the performance of our method is competitive.
本文采用基于深度学习(DL)的方法解决毫米波(mmWave)多输入多输出(MIMO)系统中的混合预编码和组合设计问题。经过训练后,将测试数据集输入神经网络,得到射频模拟预编码器和组合器的相位。给定一个射频模拟预编码器,我们可以用最小二乘法来获取基带预编码器,同样的方法也应用于射频模拟合成器来获取基带合成器。基于深度神经网络输出评估频谱效率的仿真结果表明,我们的方法性能具有竞争力。
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引用次数: 0
An Empirical Evaluation of Applying Deep Reinforcement Learning to Taiwanese Mahjong Programs 深度强化学习应用于台湾麻将课程之实证评估
Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179593
Hsin Hsueh Chen, Kuo-Chan Huang
We introduce deep reinforcement learning (DRL) into a Taiwanese mahjong program, and compare the pros and cons of traditional tree search methods and DRL in terms of effectiveness and efficiency. Our DRL-based program aims to learn good strategies comparable to the state-of-the-art Taiwanese mahjong program Verylongcat, and has demonstrated effective learning capability in the experiments. Moreover, the required computation time of our DRL-based program is significantly lower than the Verylongcat version, bringing great advantage in time-limited tournaments.
我们将深度强化学习(DRL)引入台湾麻将程序中,并在有效性和效率方面比较传统树搜索方法和DRL的优缺点。我们基于drl的程序旨在学习与最先进的台湾麻将程序Verylongcat相媲美的良好策略,并在实验中显示出有效的学习能力。此外,我们基于drl的程序所需的计算时间明显低于Verylongcat版本,在限时比赛中具有很大的优势。
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引用次数: 0
Robust ESD Capability of High-voltage nLDMOSs with Embedded Floating P+ Structures in the Drain Side 在漏侧嵌入浮动P+结构的高压nLDMOSs的稳健ESD性能
Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179526
Yu-Jie Chung, Shen-Li Chen, Xing-Chen Mai, Ting-En Lin, Xiu-Yuan Yang
This paper uses TCAD to simulate the modulation of a 0.18-μm 60 V nLDMOS device with a floating P+ embedded in the drain side by dividing the drain side into one-half and embedding the floating P+ near the drain outer side, which will increase the P+-zone length in different modes.The simulation is carried out with an input current of 1E-5 amps, and the trigger voltage, breakdown voltage, and electric field of the devices can be obtained from the TCAD simulation. By embedding the floating P+, it was found that the electric field could be reduced and the breakdown voltage of the device could be increased. In the design, the floating P+ with a length of 9 μm is embedded in the drain outer side, and the breakdown voltage is increased from 96.42 V to 119.29 V, so that the ESD immunity of the device can be improved.
本文利用TCAD模拟了一个0.18-μm 60 V的nLDMOS器件在漏极侧嵌入浮动P+的调制过程,将漏极侧分成两半,在漏极外侧附近嵌入浮动P+,可以增加不同模式下的P+区长度。在输入电流为1E-5安培的情况下进行仿真,通过TCAD仿真可以得到器件的触发电压、击穿电压和电场。通过嵌入漂浮的P+,可以减小电场,提高器件的击穿电压。本设计在漏极外侧嵌入长度为9 μm的浮动P+,将击穿电压从96.42 V提高到119.29 V,从而提高器件的ESD抗扰性。
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引用次数: 0
An URL Protection Approach for Apps on Smartphone by Built-in VPN Mechanism 基于内置VPN机制的智能手机应用URL保护方法
Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179545
Ming-Yang Su, Yu-Hung Lu, Hung-Yang Lu, Yu-Shih Lian, Kangshao Peng
This paper presents a security system that uses the built-in Virtual Private Networks (VPN) mechanism on Android to monitor the Uniform Resource Locators (URLs) linked to when apps are executed. Then, the proposed system sends the URLs to VirusTotal, a third-party security website for evaluation. Finally, the security score of each URL is presented to the smartphone user, providing them the choice to decide whether to remove an app with security concerns.
本文介绍了一个安全系统,该系统使用Android上内置的虚拟专用网(VPN)机制来监控应用程序执行时链接的统一资源定位器(url)。然后,系统将url发送给第三方安全网站VirusTotal进行评估。最后,将每个URL的安全评分呈现给智能手机用户,让他们选择是否删除存在安全问题的应用程序。
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引用次数: 0
Monte Carlo Tree Search and Machine Learning Techniques on Block Go Programs 方块围棋程序中的蒙特卡罗树搜索和机器学习技术
Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179581
Shi-Jim Yen, Ken-Wen Lee
Black Go, a game similar to Go, uses Tetris-like pieces and can teach complex Go logic through a fun and easy game process. Monte Carlo tree search can be used to design Block Go programs, and machine learning techniques can train game records and obtain useful game patterns. The paper discusses how to develop a pattern database on Block Go and its performance on Monte Carlo tree search to create a good Block Go program.
围棋是一种类似于围棋的游戏,使用类似俄罗斯方块的棋子,可以通过有趣而简单的游戏过程教授复杂的围棋逻辑。蒙特卡罗树搜索可以用来设计围棋程序,机器学习技术可以训练游戏记录并获得有用的游戏模式。本文讨论了如何开发一个Block Go模式数据库及其在蒙特卡罗树搜索中的性能,以创建一个好的Block Go程序。
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引用次数: 0
Cataract Detection using Hybrid CNN Model on Retinal Fundus Images 基于混合CNN模型的视网膜眼底图像白内障检测
Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179523
Van-Viet Nguyen, Chun-Ling Lin
In this research, a hybrid convolutional neuron network (CNN) model was developed for cataract detection. The full fundus image in the original dataset will be divided into four segments that created five fundus image datasets and trained by five different CNN models which have the same structure. The five model predictions will pass through majority voting to get the final prediction. The experimental result shows that the proposed hybrid CNN performs better than stand-alone models.
本研究建立了一种用于白内障检测的混合卷积神经元网络(CNN)模型。将原始数据集中的完整眼底图像分成4个片段,创建5个眼底图像数据集,分别使用5个结构相同的不同CNN模型进行训练。五个模型预测将通过多数投票获得最终预测。实验结果表明,本文提出的混合CNN比单机模型具有更好的性能。
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引用次数: 0
Monolithic Integration of Photo-Diode and Transimpedance Amplifier in CMOS 90 nm Technology 90纳米CMOS技术中光电二极管和跨阻放大器的单片集成
Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179578
Tzu-Hsuan Hsu, Jau‐Ji Jou, Tien-Tsorng Shih, Y. Hung
Herein, we designed and simulated the monolithic integration of photo-diode (PD) and transimpedance amplifier (TIA) in CMOS 90 nm technology. In the standard process, a PN-junction structure with an illuminated area of 39.48 $mu$m × 39.48 $mu$m was designed as the PD. The breakdown voltage of the PD is -10.5V. At a reverse bias voltage of 3V, the PD has a dark current of 2.6 pA and a capacitance of 1.03 pF. The TIA is composed of a regulated gate cascode circuit, a differential amplifier paralleling with an edge peak generator. The PD and the TIA are monolithically integrated, the overall transimpedance gain is 40.3 dB$Omega$, and the bandwidth is 4.1 GHz. The integrated design of PD and TIA could be applied in 5 Gb/s optical receivers.
在此,我们设计并模拟了光电二极管(PD)和跨阻放大器(TIA)在CMOS 90nm工艺下的单片集成。在标准工艺中,设计了一个照射面积为39.48 $mu$ m × 39.48 $mu$ m的pn结结构作为PD。PD击穿电压为-10.5V。在反向偏置电压为3V时,PD的暗电流为2.6 pA,电容为1.03 pF。TIA由一个稳压门级联电路、一个差分放大器和一个边峰发生器并联组成。PD和TIA采用单片集成,整体跨阻增益为40.3 dB $Omega$,带宽为4.1 GHz。PD和TIA集成设计可以应用于5gb /s光接收机。
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引用次数: 0
Indoor Air Quality and Improvement Strategies of Using Mechanical Ventilation in Confined Spaces 密闭空间机械通风的室内空气质量及改善策略
Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179508
Hsin-Chun Lee, Chen-Yu Pan, H. Hsu
The factors of indoor air quality are affected by the density of people, the size and time of opening the door, and the arrangement of the air inlet and outlet of the ventilation equipment. We found that the optimal CO2 of the cross opening was reduced by 109.7 ppm/min through CO2 concentration detection. However, natural ventilation can result in higher indoor temperatures. Therefore, this study increases mechanical ventilation equipment and explores natural and mechanical ventilation to achieve ventilation energy saving.
室内空气质量的因素受人的密度、开门的大小和时间、通风设备进出风口的布置等因素的影响。通过CO2浓度检测,我们发现交叉开孔的最佳CO2降低了109.7 ppm/min。然而,自然通风会导致室内温度升高。因此,本研究增加机械通风设备,探索自然通风与机械通风相结合,实现通风节能。
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引用次数: 0
期刊
2023 9th International Conference on Applied System Innovation (ICASI)
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