劉德寬 Kihon Liu Android developer With over 10 years of experience, I specialize in building, integrating, testing, and supporting Android applications for mobile and tablet devices on the Android platform. [email protected] Taipei, Taiwan. Experience Blocto (portto Co., Ltd.) , 1 AugMar 2024 Trusted by millions, the Blocto App stands as a secure, cross-chain cryptocurrency wallet designed for immediate use, enabling everyone to get started within 30 seconds. Blocto. Building tomorrow, together. Striving to enhance accessibility within the Web3 community, Blocto offers an extensive Web3 ecosystem through a
Johnny Liu (Yu Liu) Engineer with 7+ years of experience A n engineer in Electronic Parts and Components Manufacturing. A person with a simple personality,as well as handle tasks with caution and a sense of responsibility. Proficient in communication and values collaboration. Banqiao District , New Taipei City, Taiwan(R.O.C) [email protected] Experience Research and Development Engineer Shin Zu Shing C o., Ltd. OctMarY6M) 1. Research and development testing of MIM feed stock, Evaluate 3 of projects. 2. Yield monitoring for MIM new materials , production
劉柏頡 6 years Digital Designer, mainly focus on FPGA(SNPS HAPS80/100) relative design and integrations. Familiar with Simulator(VCS/Xcelium) and FPGA Synthesis tools(SNPS Synplify & ProtoCompiler, Xilinx Vivado). Experienced in script languages, such as Makefile, TCL, Perl and Python. Experienced with EDA tools, such as SNPS SpyGlass and CDNS LEC. Experienced in building some automatic flows using Jenkins and Git. Supervisor Engineer 城市,[email protected] Skills Language SystemVerilog & Verilog C/C++ Python Makefile Perl TCL Tool Xilinx Vivado Synplify/ProtoCompiler Xcelium
研究所是我累積實力的重要階段,期間我完成了1次產學合作、1次海外實習和3次教育部成果發表會。關於機器學習與電腦視覺的歷程有以下兩點。其一為碩一期間的產學合作案,我帶領2位同學在8個月的時間內完成,其內容包含4種人群事件的偵測與警示,我的部分是針對人群湧入一特定空間造成的擁擠現象做偵測,我使用OpenCV和C++做開發,透過擷取影像上的人類特徵,運用機器學習中的多元回歸模型來做人數預測,以及提出空間重建法並根據Dynamism of Space理論估算出空間的可容納人數閥值做事件判斷,最後達到87%的事件預測準確率。另外身為組長的我負責了大部分行政,統整的工作,以及扮演與外籍組員間英文溝通的橋梁,並且於該年底(106)受產學合作中心邀請,於教育部技專校院研發成果記者會上發表。而畢業論文是將產學的內容作延伸,在不受硬體平台的限制下,為了提升準確率調整了回歸模型以外的參數,即增加了擷取特徵的種類,最後達到92%的事件預測準確率。
研究所是我累積實力的重要階段,期間我完成了1次產學合作、1次海外實習和3次教育部成果發表會。關於機器學習與電腦視覺的歷程有以下兩點。其一為碩一期間的產學合作案,我帶領2位同學在8個月的時間內完成,其內容包含4種人群事件的偵測與警示,我的部分是針對人群湧入一特定空間造成的擁擠現象做偵測,我使用OpenCV和C++做開發,透過擷取影像上的人類特徵,運用機器學習中的多元回歸模型來做人數預測,以及提出空間重建法並根據Dynamism of Space理論估算出空間的可容納人數閥值做事件判斷,最後達到87%的事件預測準確率。另外身為組長的我負責了大部分行政,統整的工作,以及扮演與外籍組員間英文溝通的橋梁,並且於該年底(106)受產學合作中心邀請,於教育部技專校院研發成果記者會上發表。而畢業論文是將產學的內容作延伸,在不受硬體平台的限制下,為了提升準確率調整了回歸模型以外的參數,即增加了擷取特徵的種類,最後達到92%的事件預測準確率。