研究方向 Research Direction

• 開金鑰密碼系統 Open key cryptosystem
• 數位簽章技術 Digital Signature Technology
• 資料隱藏 Data hiding
• 網路安全 Cyber security
• 浮水印 Watermark
• 雲端安全 Cloud security
• 物聯網安全 IoT security

With “information security” as the research direction, the laboratory develops technologies such as cryptography, data hiding, cloud security, dynamic and static analysis of malicious programs, iOS system security, Internet of Things security, APP vulnerability analysis and detection, etc.

研究方向 Research Direction

• 5G行動網路虛擬化 5G mobile network virtualization
• 最新世代行動通訊 Latest generation of mobile communication
• 車聯網 Internet of Vehicles, IoV
• 自駕車 Self–driving
• 主動安全行車技術 Active Safe Driving Technology
• 雲計算 Cloud Computing
• 雲程式設計 Cloud Programming
• 雲應用服務 Cloud Application Service

5G/LTE-A Pro/LTE-A 合作、小細胞基地台、中繼通訊於雲端計算 3-Tier Cloud-based Active Safety Driving於無人自駕車與 Drone IoT系統 全球雲端虛擬資源管理與SDN/NFV於雲端資料中心之VM loading與動態雲端網路loading之管控與雲端 End-to-End Congestion control 5G/LTE-A Pro異質無線網路HeNet的Cooperative-based Communications與 Handoff

5G/LTE-A Pro/LTE-A cooperation, small cell base station, relay communication in cloud computing. 3-Tier Cloud-based Active Safety Driving in unmanned self-driving cars and Drone IoT systems. Global cloud virtual resource management and SDN/NFV in the cloud data center VM loading and dynamic cloud network loading control and cloud End-to-End Congestion control. Cooperative-based Communications and Handoff of 5G/LTE-A Pro heterogeneous wireless network HeNet

研究方向 Research Direction

• 語音訊號處理 Audio Signal Processing
• 語者辨識 Speaker recognition
• 語音合成 Speech synthesis
• 自然語言處理 Natural language processing
• 無線行動寬頻接取系統 Wireless Mobile Broadband Access System

本實驗室以語音/自然語言處理以及下世代寬頻無線通訊系統，作為長期的研究與發展目標。眾所皆知的，人工智慧 (AI) 正加速改變全球產業、經濟與社會生活發展型態，亦成為各大產業的發展重點。本實驗室研究團隊致力於開發AI技術應用於語音助理與寬頻無線通訊系統。在眾多的AI應用中，顯而易見地，AI為智慧家庭的應用開啓了創新的大門，其中，尤以語音/自然語言技術的應用最受囑目，因為語音對話是人機互動最直覺、最人性化的方式。因此，我們基於智慧家庭的應用主軸，開發AI語音助理系統以及相關之寬頻無線傳輸的演算法。

This laboratory takes speech/natural language processing and next-generation broadband wireless communication systems as long-term research and development goals. As everyone knows, artificial intelligence (AI) is accelerating the change of global industry, economic and social life development patterns, and has become the focus of the development of major industries. The research team in this laboratory is committed to developing AI technology for voice assistants and broadband wireless communication systems. Among the many AI applications, it is obvious that AI has opened the door to innovation for the application of smart homes. Among them, the application of voice/natural language technology is the most popular, because voice dialogue is the most intuitive and interactive way between man and machine. Therefore, we develop AI voice assistant systems and related broadband wireless transmission algorithms based on the application of smart homes.

研究方向 Research Direction

• 資料探勘 Data Mining
• 樣式探勘演算法設計 Design of Pattern Mining Algorithms
• 機器學習應用 Applied Machine Learning

本實驗室研究重點在數據分析與計算智能等領域發展，包含大數據分析、自然語言處理、圖像、影片、及音訊處理、社群網路探勘、HADOOP集群系統、CUDA平台等技術的深入與應用，訓練學生自主學習及研究能力，並培養企業所需人才。

The research of this laboratory focuses on the development of data analysis and computational intelligence, including big data analysis, natural language processing, image, video, and audio processing, social network exploration, HADOOP cluster system, CUDA platform and other technologies. Application, training students’ independent learning and research ability, and training talents needed by enterprises.

研究方向 Research Direction

• 醫學影像處理及分析 Medical image processing and analysis
• 人臉辨識及表情分析 Face recognition and expression analysis
• 情緒偵測及調適 Emotion detection and adjustment
• 數位版權保護 Digital copyright protection

本實驗室的研究重點在訓練學生了解醫學影像的成像原理，進而分析影像，並結合類神經網路技術於醫學影像處理，影像擷取，影像浮水印及晶圓檢測等系統之開發。使學生具備應用類神經網路及影像處理之相關技術能力。

The research in this laboratory focuses on training students to understand the imaging principles of medical images, analyze the images, and combine neural network technology in the development of medical image processing, image capture, image watermarking and wafer inspection systems. To equip students with relevant technical skills in applied neural networks and image processing.

研究方向 Research Direction

• 高光譜影像處理 Hyperspectral image processing
• 醫學影像處理 Medical image processing
• 生理訊號分析 Physiological signal analysis
• 人工智慧 Artificial intelligence
• 智慧辨識 Intelligent recognition
• 農業4.0 Agriculture 4.0
• 工業4.0 Industry 4.0

HSIPL is dedicated to design and develop algorithms for multi/hyperspectral, medical and satellite images, specifically for image classification, endmember finding and target detection. In particular, we have wide interests in various research topics for multi/hyperspectral applications.

研究方向 Research Direction

• 自然語言 Natural Language
• 影像處理 Image Processing
• AIOT

本實驗室的研究以深度學習技術結合影像處理、電腦視覺技術及機器視覺，應用於：工業檢測: 電容缺件檢測、軟電池極性檢測、PCBA 連板插記檢測；視訊監控: DeepStream多攝影機即時監控、夜視與熱影像融合；醫學應用: 乾癬影像分割、乾癬影像描述、心臟超音波分割、影像與生理訊號合成；農業應用:3D點雲植物分割；自然語言:虛擬病人對話語意應用

研究方向 Research Direction

• 學習式布局設計 Learning based Layout Design
• 醫療資源探勘 Medical Data Mining
• 理論計算科學 Theoretical Computer Science

暫無

not available at present

研究方向 Research Direction

• 感測網路與路由 Sensing network and routing
• 室內定位 Indoor Positioning
• 智慧製造與機器人控制 Intelligent manufacturing and robot control

本實驗室主要是以「電腦網路」與「嵌入式系統」為基礎，結合機器學習、最佳化技術，發展物聯網相關應用系統，包含室內定位之感測器佈署與應用、智慧機台/智慧製造之即時性系統設計、結合路由/避障之自動割草機、機器人自走控制等，配合執行相關產學合作，培訓學生具實務、團隊合作之系統整合設計人才。

This laboratory is mainly focused on “computer network” and “embedded system”, combined with machine learning and optimization technology to develop IoT-related application systems, including sensor deployment and application for indoor positioning, and smart manufacturing Real-time system design, automatic lawn mower combined with routing/obstacle avoidance, robot self-propelled control, etc. Cooperate with the implementation of relevant industry-university cooperation, and train students to have practical and teamwork system integration design talents.

研究方向 Research Direction

• PC/PLC系統整合 PC/PLC system integration
• 機器人路徑規畫 Robot path planning
• 機器視覺 Machine vision
• 人工智慧 Artificial intelligence
• 3D物體辨識 3D object recognition

本實驗室主要目標為結合電腦視覺軟體及PC及PLC整合系統設計技術發展智慧型生產線，輔以業界實務之需求，培養嵌入式智慧型系統專長的學生成為具軟硬體系統整合之人才。 主要研究為PC/PLC整合式系統、機器人路徑規劃、3D視覺、行動式裝置程式開發、即時服務等，將機器人與智慧系統整合，使其具備機器視覺、人工智慧等功能，達成智慧型生產線之目標。

The main goal of this laboratory is to develop intelligent production lines combining computer vision, PC and PLC integrated system design technology, supplemented by the needs of industry practice, to train students to become talents with software and hardware system integration. Our researches are mainly focused on PC/PLC integrated system, robot path planning, 3D vision, mobile device program development, real-time service, etc., integrating robots and smart systems to enable machine vision, artificial intelligence and other functions to achieve the smart production line aims.

研究方向 Research Direction

• 嵌入式多核心系統軟體設計 software design on embedded multi–core system
• 即時作業系統設計 Real–time operating system design
• 無線感測網路應用 Wireless sensing network application

本實驗室以「嵌入式作業系統」為基礎，發展嵌入式系統與物聯網相關應用，包含室內定位追踪與導引系統，健康照護與管理系統，智慧防災互聯網應用等，並積極與產業合作，同時鼓勵學生參加全國性競賽與論文發表，培育擁有實作能力，創新創業，軟硬體整合之人才。

Based on the “embedded operating system”, the laboratory develops embedded systems and related applications of the Internet of Things (IoT), including indoor positioning tracking and guidance systems, health care and management systems, intelligent disaster prevention Internet applications, etc., and actively cooperates with the industry. At the same time, students are encouraged to participate in competitions and paper publications to cultivate talents with practical ability, innovation and entrepreneurship.

研究方向 Research Direction

• EKG及步態訊號分析 EKG and gait signal analysis
• e健康資訊 eHealth Information
• 穿戴式運算 Wearable computing
• 電腦網路 Computer network
• 嵌入式系統設計 Embedded System Design

本實驗室的學術研究主軸是”穿戴式運算”，應用的面向包括：醫學生理(含ECG/PPG/肢體活動)訊號之擷取和分析、快速疾病篩檢、健康促進等科技。透過與鄰近醫療機構之學術共同合作研究，累積了步態分析、ECG/PPG訊號分析、復建科技研究、神經科學研究等領域之電訊號類醫學工程技術基礎，提供本系大學部及研究所同學，可連結醫療實務之學習平台。

The main focus of the laboratory’s academic research is “wearable computing”, and the applications include: medical physiology (including ECG/PPG/body activity) signal acquisition and analysis, rapid disease screening, health promotion and other technologies. Through academic joint research with neighboring medical institutions, we have accumulated gait analysis, ECG/PPG signal analysis, reconstruction technology research, neuroscience research and other fields of telecommunications medical engineering technology foundation, providing the university department and research institute of our department Students can connect to the learning platform of medical practice.