Explore the vast range of titles available.

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.

To prevent traffic accidents, even autonomous vehicles, as well as connected cars, need to know the driving situation of other vehicles in the vicinity. In particular, in emergency situations, messages’ transmission among vehicles can face many problems such as the broadcast storm, message flooding, or message contention. Therefore, this paper proposes a topological sequence recognition mechanism that calculates the driving direction of vehicles, the geographical location and relative position associated with the driving direction, and the relative safety distance for each vehicle in connected subgroups of connected cars using the Connected Mobile Virtual Fence (CMVF) system. Thus, the proposed mechanism can alleviate issues with message dissemination as a vehicle will know the driving situations of other nearby vehicles. In addition, the proposed mechanism is found to be very effective, particularly in preventing secondary accidents due to traffic accidents in front of the vehicle so that emergency messages can be disseminated to the trailing vehicles. Finally, it is expected that the proposed mechanism will be reflected in the technology of connected cars and autonomous vehicles.

In an intelligent smart city like Sejong city in Korea, automatic and smart software is absolutely necessary for autonomous traffic and vehicles control systems. Therefore, these systems need to have an accurate and timely performance; otherwise, safety issues may arise. To resolve this, we propose our code visualization approach to adapt an object-oriented smart traffic control simulator, which analyzes Java code’s complexity and identifies bad codes against performance. To achieve an accurate performance, we must repeatedly perform refactoring until attaining a range of system-defined performances through effective code visualization. As a result, we enhance the code complexity of the cyber-physical system-based software to achieve the exact performance. With this approach, we expect to obtain an accurate performance and complexity improvement of the object-oriented traffic control simulator without significant power consumption.

As the geofence is a virtual perimeter for a real-world geographical area, it is a subset of Location-Based Services (LBS) where is popping up all over discussions of LBS. In this paper, the researchers propose a platform of three-dimensional (3D) geofence model no matter it's indoor or outdoor. For the accuracy of location estimate, they use mainly the WiFi fingerprinting mechanism of Wireless Positioning System and mix Dead Reckoning mechanism using Inertial Measurement Unit sensor of smartphone. Therefore, it can be tracking location for 3D geofence of some invisible areas as well as inter-floor location information in a building. In the Internet of Things, the precise geolocation of thing will be critical. The 3D geofence or LBS is promising applications that become possible when things can become organized and connected by location.

Conventional geofencing applications have not been provided 3D(three-dimensional) spatial information no matter where indoor or outdoor. Therefore, we design and implement a framework of 3D geofence which is included with the indoor information as well as 2D location information. The proposed framework consists of four layers such as Application Service Layer, Geofence Engine Layer, Geofence Infrastructure Layer, Security Layer. Also, the proposed framework supports to automatically activate or deactivate the specified 3D geofence. In IoT(Intemet of Things) computing environment, the proposed 3D geofence will be promising applications.

The location estimation for personalization using Received Signal Strength (RSS) is important in Ubiquitous Computing Environments (UCE). UCE is based on Wireless Sensor Network (WSN). But GPS is not acceptable in building, tunnel, and etc. Researchers research location estimation using some techniques. That is machine learning, neural network and Support Vector Machine (SVM). They are getting and storing in DBMS that is RSS from Access Point (AP) to mobile phone in IEEE 802.11 WSN. That is potential candidates to enable service decision of Mobile Phone itself at location aware computing spaces in UCE. The most fundamental requirement of such localization systems can estimate a location with personal information accumulating RSS at particular locations. In this article, they will introduce a few methods, which give high accuracy and overcome other method's disadvantages, such as SVM, Neural Networks, and machine learning techniques.

Most embedded software systems are built into hardware dependent systems. For modeling them, researchers use a state diagram as one of modeling tools for one method to model a reactive and real time system. But most state diagrams cannot model some particular random process problems that caused by diverse state patterns such as if-else, switch-case of complex embedded system without built in advance. So for correctly designing random models, they develop Stochastic Design Tool based on their stochastic based state diagram for embedded systems, which extended the state diagram of dynamic diagrams in UMLx.x for the embedded & reactive environment. To show correctly modeling a particular system, they use their stochastic based state diagram design tool for correctly modeling diverse reactions on Javelin robot situations in crossroads.

The Continuously Adaptive Mean Shift algorithm is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face tracking for a perceptual user interface. In this article, researchers have design and implement a simple and lightweight finger tracking algorithm to track the movement of hands and find fingertips. Since the proposed algorithm is designed only using a pin-camera within smartphone without any motion sensing devices, they are considered a number of constraints such as processor's speed, memory, response times, etc. The algorithm is able to track the finger movement without building a 3D model of the hand. Coordinates and movement of the finger in a live video feed can be taken to become the coordinates and movement of the mouse pointer to make human-computer interaction. In the near future, the proposed algorithm can be applied the next generation Human-Computer Interaction, requiring the spatial and sensory interface for smart devices.

The famous elevator products still need the integrated safety technologies of elevators combined with a variety of IT services such as measurement and transmission of customer's ride quality, disaster prevention, crime prevention. However, conventional research and development have been developed separately for each of the system. In this paper, we propose a single safety module to integrate multiple sensor data sources incoming through various sensors for elevators. Thus the proposed module is a circuit board to provide IT convergence such as ride quality, building emergency alert, crime prevention combined with RMS only for elevator. Therefore, the proposed single integrated safety module provides user's safety in the elevator as well as cost effective.

There are many hardware and software that support the multiple video sources. However, it is often necessary to represent a number of multimedia data within a limited display resource. In this paper, we propose a single integrated OSD(On-Screen Display) module to display the elevator's operation information received from the elevator control panel combined with the video streaming information transmitted to the HDMI port at the same time. So, one display monitor makes it possible split screens to display the real-time multimedia streaming data sent from multiple input sources at the same time. The proposed OSD module is an integrated module incorporated OSD design technology. Therefore, the proposed module is more accurate and faster than that implemented by the software.