The document discusses essential practices for IT audits, including establishing an audit program and audit resources. It evaluates risk assessment, audit planning, and reporting practices. It also reviews several IT audit methodologies, particularly COBIT which was developed by ISACA and focuses on governance, control, and auditing for IT through processes and control objectives. COBIT is useful for IT audits and implementing IT controls but lacks detailed evaluation methods and control measures.
How BIM is able to optimise the design phase of a construction projectJacob Ostwald
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This document summarizes a student report about how Building Information Modeling (BIM) can optimize the design phase of construction projects. It defines BIM as both a type of software and process that allows collaboration between different professionals involved in a project. The report discusses how BIM benefits the planning and design phases through features like clash detection and cost/time estimation. It also examines industry attitudes towards adopting BIM and its growing use in Australia and worldwide.
ISO 27701 is important for privacy compliance because it provides a comprehensive framework for organizations to manage the privacy of personal data. The standard covers all aspects of privacy management, from data collection and processing to security and compliance.
ISO 27701 is aligned with the General Data Protection Regulation (GDPR), which is the most comprehensive privacy law in the world. The standard also supports compliance with other privacy laws, such as the California Consumer Privacy Act (CCPA) and the Brazilian General Data Protection Law (LGPD).
By implementing ISO 27701, organizations can demonstrate to their customers, employees, and regulators that they are committed to protecting personal data. The standard can also help organizations to reduce their risk of data breaches and other privacy incidents.
Here are some of the benefits of implementing ISO 27701:
Demonstrate compliance with privacy laws and regulations
Reduce the risk of data breaches and other privacy incidents
Improve customer trust and confidence
Enhance the organization's reputation
Gain a competitive advantage
If your organization handles personal data, then ISO 27701 is an important standard to consider. The standard can help you to protect personal data, comply with privacy laws, and improve your organization's overall privacy posture.
Here are some of the specific requirements of ISO 27701:
Establish a privacy management policy
Conduct a privacy risk assessment
Implement technical and organizational measures to protect personal data
Implement procedures for managing data breaches
Provide individuals with access to their personal data
Respond to data subject requests
Monitor and improve the privacy management system
ISO 27001 Training | ISO 27001 Internal Auditor Training | ISMS Internal Audi...himalya sharma
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ISO 27001 Internal Auditor Taining is done by Industry Experts, customized for you & connected with relevance to your Industry, products, services & Processes
This document provides an agenda and overview for implementing an Information Security Management System (ISMS) using an ISMS Implementation Toolkit. It discusses what an ISMS toolkit is and important considerations when using one. It then lists the top 5 ISMS toolkits and provides details on the author's own toolkit. Finally, it outlines a 20+1 step process for implementing an ISMS using the toolkit, with each step briefly described.
The document provides an overview of the Aadhaar card in India. It discusses that the Unique Identification Authority of India (UIDAI) was established in 2009 by the Government of India to provide a unique identity number to all Indian residents. The presentation was given by several individuals and provided background on UIDAI such as its chairman Nandan Nilekani.
Ambarella(06/2021)--Application of ambarella AI vision chip solution in smart...AEI Rsearch
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This document provides an overview of AEI Research, a consulting firm focused on China's automotive market. It summarizes their services including research reports on various automotive technologies and an automotive industry database. It also discusses Ambarella, a provider of AI vision chips for automotive applications. Key points include Ambarella's chip solutions that support applications like driver monitoring systems and advanced driver assistance systems from L2+ to L4/L5 levels of autonomy. The document highlights various multi-camera vision solutions using Ambarella chips that provide surround view capabilities.
Building information modeling & value to the AEC industry Part 1 v1Stephen Au
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BIM Lecture Note (3/6)
Objectives
* The challenges of Building Construction Industry
* To understand how BIM technology improve the building construction industry
* The value of using BIM for the industry
Question
* What are the benefits and limitation in applying BIM technology to the industry?
www.mtech.com.hk
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Tiny ML for spark Fun Edge
https://www.ittraining.com.tw/ittraining/it-elearning/el-ai/ai-tensorflow-lite-for-mcu
TensorFlow Lite for MCU正是專為邊緣裝置設計的TensorFlow模型預測框架,是TensorFlow的精簡版本,讓開發者可以在物聯網與嵌入式裝置中部署微型機器學習模型。 本課程將教授AI模型如何佈署於微控制器,包含模型訓練、模型最佳化以及TensorFlow Lite框架的程式開發等。此外,在實作上以Sparkfun edge board (ARM cortex M4)為例,說明如何以TensorFlow Lite 進行微控制器上面的人工智慧開發專案,包含人臉偵測、關鍵字的字詞偵測、姿態識別、異常偵測等。
The OpenVINO toolkit enables deep learning inference on embedded devices by supporting heterogeneous execution across Intel CPUs, GPUs, FPGAs, and Movidius VPUs. It includes optimized computer vision functions and pre-trained models. The toolkit provides a model optimizer to optimize models for size and speed and an inference engine to run models across different hardware accelerators. Developers can use OpenVINO to easily deploy CNN-based applications with real-time performance on embedded systems.
This document discusses stepper motors, including their types, resolutions, gear ratios, coils, phases, and drive methods. It provides details on a specific 28BYJ-48 5V unipolar stepper motor, including its specifications. It explains half-step sequencing and how stepper motor movement is controlled by pulse signals. Code examples are given for controlling a stepper motor with a Raspberry Pi. The document contrasts unipolar and bipolar stepper motors and their drive methods.
This document discusses the basics of artificial neural networks including multi-layer perceptrons (MLPs). It explains that MLPs use multiple hidden layers between the input and output layers to extract meaningful features from the data. The document also covers topics like training neural networks using backpropagation and stochastic gradient descent, the use of mini-batches to speed up training, and common activation and loss functions.
https://youtu.be/RHvROP94qZ0
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Tiny ML for spark Fun Edge
https://www.ittraining.com.tw/ittraining/it-elearning/el-ai/ai-tensorflow-lite-for-mcu
TensorFlow Lite for MCU正是專為邊緣裝置設計的TensorFlow模型預測框架,是TensorFlow的精簡版本,讓開發者可以在物聯網與嵌入式裝置中部署微型機器學習模型。 本課程將教授AI模型如何佈署於微控制器,包含模型訓練、模型最佳化以及TensorFlow Lite框架的程式開發等。此外,在實作上以Sparkfun edge board (ARM cortex M4)為例,說明如何以TensorFlow Lite 進行微控制器上面的人工智慧開發專案,包含人臉偵測、關鍵字的字詞偵測、姿態識別、異常偵測等。
The OpenVINO toolkit enables deep learning inference on embedded devices by supporting heterogeneous execution across Intel CPUs, GPUs, FPGAs, and Movidius VPUs. It includes optimized computer vision functions and pre-trained models. The toolkit provides a model optimizer to optimize models for size and speed and an inference engine to run models across different hardware accelerators. Developers can use OpenVINO to easily deploy CNN-based applications with real-time performance on embedded systems.
This document discusses stepper motors, including their types, resolutions, gear ratios, coils, phases, and drive methods. It provides details on a specific 28BYJ-48 5V unipolar stepper motor, including its specifications. It explains half-step sequencing and how stepper motor movement is controlled by pulse signals. Code examples are given for controlling a stepper motor with a Raspberry Pi. The document contrasts unipolar and bipolar stepper motors and their drive methods.
This document discusses the basics of artificial neural networks including multi-layer perceptrons (MLPs). It explains that MLPs use multiple hidden layers between the input and output layers to extract meaningful features from the data. The document also covers topics like training neural networks using backpropagation and stochastic gradient descent, the use of mini-batches to speed up training, and common activation and loss functions.
https://youtu.be/RHvROP94qZ0
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Reinforcement learning allows an agent to learn how to behave through trial-and-error interactions with an environment. The agent takes actions in a state and receives rewards, learning through experience which actions maximize total rewards. The agent learns a policy using a Q-table that represents the estimated utility of taking an action in a given state. Initially the agent explores randomly, but over time exploits what it has learned from the Q-table to select the highest-valued actions. The Q-learning algorithm iteratively updates the Q-table values using the Bellman equation to improve its estimates of the best actions.
The document discusses Linux device trees and how they are used to describe hardware configurations. Some key points:
- A device tree is a data structure that describes hardware connections and configurations. It allows the same kernel to support different hardware.
- Device trees contain nodes that represent devices, with properties like compatible strings to identify drivers. They describe things like memory maps, interrupts, and bus attachments.
- The kernel uses the device tree passed by the bootloader to identify and initialize hardware. Drivers match based on compatible properties.
- Device tree files with .dts extension can be compiled to binary blobs (.dtb) and overlays (.dtbo) used at boot time to describe hardware.
2. 課程大綱 (新)
Part I USB 規格
Introduction to USB Architecture
Other related USB Terms(ULPI,HSIC,OTG … )
USB Data Flow Type and Communication protocol
USB Device Enumeration
Windows INF Files
USB Classes
1) USB Audio (USB Speaker)
2) USB CDC-ACM (USB-UART)
3) USB CDC-ECM (USB Ethernet Adapter)
4) USB HID (Mouse , Keyboard , Consumer device)
5) USB Mass Storage
6) USB Bluetooth
3. 課程大綱 (新)
Part II USB韌體實作
Windows INF 實作練習
USB Device Enumeration練習
USB Audio練習
1) USB Audio 封包說明
2) 如何控制USB Audio (Mute , Volume Up/Down)
USB HID class 實作
1) HID Class 封包說明
2) 實作Mouse相關功能
3) 實作Keyboard相關功能
4) 實作HID Data Transfer功能
5) 實作HID Consumer Device功能
6) 實作如何wakeup PC功能
USB CDC class 實作
1) CDC Class 封包說明
2) 實作USB轉UART相關功能
USB MSC class 實作
1) Mass Storage Class 封包說明
2) 了解MSC SCSI command , 存取MSC device
Bluetooth over USB
1) Bluetooth HCI (Host Controller Interface) 控制說明
2) 透過HCI來控制Bluetooth Module
4. Lab: USB Audio
USB Audio Driver
USB Host Driver
USB Host Controller
USB DAC
USB Cable