2021 ◽  
Author(s):  
Jonathan B. Chan

System on Programmable Chip (SoPC) based embedded system development has been increasing, aiming for improved system design, testing, and cost savings in the workflow for Application Specific ICs (ASIC). We examine the development of Smart Home embedded systems, which have been traditionally based on a fixed processor and memory, with inflexible configuration. We investigate how more ability can be added by updating firmware without the burden of updating hardware, or using a full (but dedicated) general purpose computer system. Our development and implementation of the smart home controller is based on the SoPC development environment from Altera. The development board includes all the necessary parts such as processor, memory, and various communication interfaces. The initial implementation includes a simple protocol for communication between home appliances or devices and controller. This protocol allows data transfer between home appliances or devices and the controller, in turn allowing both to support more features. We have investigated and developed a home resource management application. The main resources being managed in this project are hot and cold water, electricity, and gas. We have introduced a number of expert rules to manage these resources. Additionally, we have developed a home simulator, with virtual appliances and devices, that communicates with the home controller. The simulator interacts with the SoPC based smart home embedded system developed in this project by generating messages representing a number of smart appliances in the home. It provides a useful testing environment for the smart home embedded system to verify its design goals.


Author(s):  
Kerstin Schmidt ◽  
Grit Walther ◽  
Thomas S. Spengler ◽  
Rolf Ernst

2008 ◽  
Vol 17 (06) ◽  
pp. 973-993 ◽  
Author(s):  
NASER MOHAMMADZADEH ◽  
SHAAHIN HESSABI ◽  
MAZIAR GOUDARZI ◽  
MAHDI MALAKI

The growing complexity of today's embedded systems demands new methodologies and tools to manage the problems of analysis, design, implementation, and validation of complex-embedded systems. Focusing on this issue, this paper describes a design and implementation toolset using our ODYSSEY methodology, which advocates object-oriented (OO) modeling of embedded systems and its ASIP-based implementation. The proposed approach promotes a smooth transition from high-level object-oriented specification to the final embedded system, which is composed of hardware and software components. The transition from higher to lower abstraction levels is facilitated by the use of our GUI, which supports the intermediate steps of the design and implementation process. In order to illustrate the proposed approach and related toolset, we apply this top-down design and implementation framework to real-world embedded systems, namely JPEG codec and Motion JPEG codec. Experimental results show that the developed tool remarkably decreases the design and verification time with modest performance penalty.


Author(s):  
Yu-Tsang Chang ◽  
Chun-Ming Huang ◽  
Chien-Ming Wu ◽  
Chun-Yu Chen ◽  
Yu-Sheng Lin ◽  
...  

Author(s):  
AZIS WISNU WIDHI NUGRAHA ◽  
IMRON ROSYADI ◽  
FAHMI KHOERULLATIF

ABSTRAKDevOps mendorong percepatan pengembangan sistem. Namun bukti nyata penerapannya pada sistem tertanam belum mencukupi. Salah satu penyebabnya adalah kesulitan proses deployment pada perangkat. Konsep IoT menghubungkan sistem tertanam dengan jaringan yang memungkinkan proses pembaharuan firmware menggunakan mekanisme Over The Air (OTA). Tulisan ini mengusulkan infrastruktur DevOps untuk pengembangan sistem tertanam. Perangkat keras yang digunakan adalah microcontroller ESP8266. Sedangkan lingkungan DevOps menggunakan perangkat lunak PlatformIO, GitHub dan Travis CI. Pengujian dilakukan dengan mengubah user requirement yang kemudian diterapkan pada perangkat keras. Tahapan DevOps (build and test, release hingga deploy) telah berhasil dilakukan secara otomatis. Sistem mampu mendeteksi kesalahan penulisan kode sumber. Rerata waktu keseluruhan proses adalah 77,21 detik. Proses build and test mendominasi waktu proses dengan rerata sebesar 77,21 detik dan waktu deploy memiliki rerata 1,41 detik.Kata kunci: IoT, Sistem Tertanam, OTA, DevOps, ESP8266 ABSTRACTDevOps drives the acceleration of system development. However, the concrete evidence of its application in embedded systems is not sufficient. One of the causes is difficulty in the deployment process on the device. Firmware update using an Over-The-Air (OTA) mechanism is allowed by the IoT concept that connects embedded systems into a network. This paper is proposing a DevOps infrastructure for embedded system development. Proposed infrastructure using ESP8266 for the hardware and PlatformIO, GitHub, and Travis CI for the DevOps environment. Testing the proposed system is done by changing the user requirements that are applied to the hardware. The DevOps stages from building and test, release, and deployment have automatically been done. The system is also able to detect developer errors in writing source code. The average time of the whole process on trial was 77.21 seconds. The build and test process dominates the processing time with an average of 77.21 seconds and the deployment time is relatively short with an average of 1.41 seconds.Keywords: IoT, Embedded System, OTA, DevOps, ESP8266


Author(s):  
Santhosh M S ◽  
Nagaraja G S

To minimise development costs and enhance dependability, modern embedded system development is increasingly emphasising on software modularity and reuse. Microcontrollers are extensively employed in embedded applications that have a very specific and specialised job to complete. The embedded applications are always resource constraint which requires efficient utilization of available resources. A Real Time Operating System (RTOS) is frequently used in this context to plan task execution as well as enable intertask communication and synchronisation. This paper provides the survey of different RTOS available in market and their applications. Several open source RTOS such as Free RTOS, VxWorks, SmallRTOS and TinyOS are compared with respect to the scheduling algorithms used.


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