Development of an Onboard Robotic Platform for Embedded Programming Education

Robotics has been used as an attractive tool in diverse educational fields. A variety of robotic platforms have contributed to teaching practical embedded programming to engineering students at universities. However, most platforms only support content with a low level of programming skills and are unlikely to support a high level of embedded programming. This low association negatively affects students, such as incomprehension, decreased participation, dissatisfaction with course quality, etc. Therefore, this paper proposed a new robotic platform with relevant curricula to improve their effectiveness. The developed platform provided practical content used in mechatronics classes and the capability to operate a robot with a high level of embedded programming. To verify the effectiveness of the proposed platform, participants (undergraduates) examined course evaluations for educational programs based on the developed platform compared with the previous year’s class evaluation. The results showed that the proposed platform positively affects students’ intellectual ability (performance) and satisfaction in programming education.

Research and Design of Fault Indicator Using Comprehensive Detection and Identification Method

With the progress and development of society, the power supply quality of power system is required to be higher and higher. It is necessary to locate the fault and remove it quickly. Therefore, it is necessary to install fault indicator on distribution line to improve the efficiency of finding fault location. As an important part of distribution network, the 10kV overhead line has the characteristics of many branches, wide coverage area, time-consuming and labor-consuming in line inspection and maintenance. The fault indicators currently used have problems such as complex structure, high cost of installation and deployment, and inaccurate fault detection. In this paper, a new type of fault indicator is proposed, which uses the comprehensive fault detection method. DSP processor is used to collect, calculate and process the voltage and current information of power grid. Through the embedded programming language, the comprehensive fault detection and identification is realized. Finally, the acquisition accuracy and fault judgment accuracy of the fault indicator are tested by simulating the fault signal in the laboratory. The experimental results show that the proposed fault indicator has high accuracy and can meet the requirements of fault indication, location and alarm.

Design of Automized Inspection Vehicle for RTO

As we are all aware of current trend of Regional Traffic Office (RTO) system. One has to put a lot of effort in order to get licences from RTO. It is very tedious as well as time consuming process. Otherwise in order to get licences quickly we used to get the help of private agents by paying them much more money which is actually an illegal act according the rules of our government. By which people have to suffer a lot. So, with the help of technology we can convert the present tedious and time wasting process of RTO system into simpler and fruitful one. By this way our project also helps us to reduce the corruption which is present in today’s RTO system by completely removing the role of private agents and the people also automatically get benefited with this new RTO system”. The main aim of designed system in paper is to minimize the corruption by suggesting an ideal module which can be implemented in number of places for number of operation. minimize risk of internal fraud and enhance efficiencies by automating process and minimizing operator intervention, through this we can create an integrated , chain of trust for the identity and issuance process. Creating a secure chain of trust using electronic sensors, microcontroller and embedded programming. This System can be connected to IOT device and we can monitor real time data. Designed system is capable of removing corruption occurring while granting a licence to an applicant, and also capable of avoiding on road accidents caused due to inappropriate driving, because in the system licence will give to the applicant which can drive the vehicle properly.

Human-Error Prevention for Autonomous Edge Software Using Minimalistic Modern C++

In science and engineering using edge-embedded software, it is necessary to demonstrate the validity of results; therefore, the software responsible for operating an edge system is required to guarantee its own validity. The aim of this study is to guarantee the validity of the sampled-time filter and time domain as fundamental elements of autonomous edge software. This requires the update law of a sampled-time filter to be invoked once per every control cycle, which we guaranteed by using the proposed domain specific language implemented by a metaprogramming design pattern in modern C++ (C++11 and later). The time-domain elements were extracted from the software, after which they were able to be injected into the extracted software independent from the execution environment of the software. The proposed approach was shown to be superior to conventional approaches that only rely on the attention of programmers to detect design defects. This shows that it is possible to guarantee the validity of edge software by using only a general embedded programming language such as modern C++ without auxiliary verification and validation toolchains.