Improvement Practices in the Performance of a CPS Multiple-Joint Robotics Simulator

Abstract

In the Fourth Industrial Revolution environment, plenty of automatic and smart software in diverse fields will come out, such as virtual reality/augmented reality (VR/AR), autonomous robots and vehicles, smart factoring, and so on. In Korea, especially, one important issue is the cyber–physical system (CPS), used for monitoring and controlling the smart and automatic system in a smart city. This kind of system, therefore, needs to have good performance; otherwise, it may not respond in time. To solve this, we propose a code visualization approach to reduce code complexity based on a static analysis, which identifies bad codes against performance. To ensure better performance, we make our queries identify performance degradation factors, store statically analyzed data into database (DB) tables, and visualize bad operation patterns. For performance improvement, we can refactor with them. As a result, we reduce the code complexity of CPS-based software to obtain good performance. With this approach, we expect to have better performance and a reduction in the complexity of CPS software without even power consumption.

Analysis of Machine Learning Systems for Cyber Physical Systems

“…Co-design or integration of networking and control elements in industrial IoT, energy production and monitoring, and traffic congestion avoidance, and a few more applications are only a few of the additional machine learning applications that help CPS operations. [19].…”

Code Visualization for Performance Improvement of Java Code for Controlling Smart Traffic System in the Smart City

“…Table 4 shows code patterns for performance degradation and rules for regular expression and XPath. For C/C++ code, we mentioned the regular expression pattern for loop unrolling and loop down count in detail [36,37]. The example code of Table 4 is increased by 1 from 0 to 1000 in the 'for statement'.…”