The widespread adoption of app hardening techniques in Android applications makes it more challenging for current analysis techniques to analyze hardened apps, leading to limited analysis coverage. This limitation is mainly due to the difficulties in obtaining detailed information about Intents, which is essential for component communication and the execution of specific events in Android applications.

As autonomous driving research has actively pro-gressed, software for autonomous vehicles and embedded systems such as Apollo and AutoWare have also been developed, providing a complete set of self-driving modules, including perception, localization and mapping, path planning, prediction, decision making, and control. Most of the researchers currently use these software programs, but many researchers have also studied autonomous driving based on the middleware software termed robot operating system (ROS) before such software was released, especially in academia. Accordingly, we intend to develop ROS-based unmanned RC car equipped with autonomous driving sensors such as LiDAR, radar, VIS/IR cameras, GPS, and IMUs that can provide ROS-based datasets to researchers studying self-driving cars and robots using ROS. In addition, unlike conventional datasets, we acquire dataset not only on road but also pedestrian paths that can be used in both vehicles and robots and provides extreme environmental datasets such as snowfall environments. In this sense, the ROS dataset we created will be helpful to researchers studying autonomous vehicles and robots by using ROS.

An boost battery charger is proposed to operate on 0V battery voltage in wireless power transfer (WPT) system for bio-medical application. The proposed battery charger for bio-medical application should be operated on low power. Thus, our target input power is very low such as 5mW~10mW and target output power is 2mW~5mW. Because the proposed battery charger starts up using rectifier output voltage, it doesn't need to consider battery voltage at start-up situation. Also our structure supply power to battery on constant current (CC) Mode. And we proposed burst mode (BM) protection to protect circuit and battery. The proposed battery charger is implemented using 0.18um CMOS technology. As a result, it achieves 83% efficiency and batteryless start-up and CC Mode operation.