This paper describes a method to recognize a Quick Response Code (QR) a novel. The QR Code is a twodimensional code, which is currently used in various fields. According to the salient growth smartphone market, the recognition distance of QR Code is increased but the recognition angle is still limited. To tackle the issue, we propose a QR Code recognition method using 'cloud-based pre-generated image matching'. Our experimental results show the efficiency of the proposed method.
Application development platform is the most important environment in IT industry. There are a variety of platforms. Although the native development enables application to optimize, various languages and software development kits need to be acquired according to the device. The coexistence of smart devices and platforms has rendered the native development approach time and cost consuming. Cross-platform development emerged as a response to these issues. These platforms generate applications for multiple devices based on web languages. Nevertheless, development requires additional implementation based on a native language because of the coverage and functions of supported application programming interfaces (APIs). Wearable devices have recently attracted considerable attention. These devices only support Bluetooth-based interdevice communication, thereby making communication and device control impossible beyond a certain range. We propose Network Application Agent (NetApp-Agent) in order to overcome issues. NetApp-Agent based on the Cordova is a wearable device control platform for the development of network applications, controls input/output functions of smartphones and wearable/IoT through the Cordova and Native API, and enables device control and information exchange by external users by offering a self-defined API. We confirmed the efficiency of the proposed platform through experiments and a qualitative assessment of its implementation.
Recently, as the smartphone market is growing rapidly, the amount of using QR Code with smartphone is increasing together. This paper proposes a new method for improving the rate of QR Code recognition on smartphone. In some angles, sometimes, a few applications cannot recognize QR code. So, this method make it possible to recognize the QR Code any angle. In order to find an original QR Code we proposes a method which recognizes QR code imaginary at first, then send information of this QR Code to an area of QR database. Finally we use 'image matching method' between recognition of QR Code and the database we already had.
This paper proposes a virtualized network function orchestration system based on Network Function Virtualization (NFV), one of the main technologies in 5G mobile networks. This system should provide connectivity between network devices and be able to create flexible network function and distribution. This system focuses more on access networks. By experimenting with various scenarios of user service established and activated in a network, we examine whether rapid adoption of new service is possible and whether network resources can be managed efficiently. The proposed method is based on Bluetooth transfer technology and mesh networking to provide automatic connections between network machines and on a Docker flat form, which is a container virtualization technology for setting and managing key functions. Additionally, the system includes a clustering and recovery measure regarding network function based on the Docker platform. We will briefly introduce the QR code perceived service as a user service to examine the proposal and based on this given service, we evaluate the function of the proposal and present analysis. Through the proposed approach, container relocation has been implemented according to a network device's CPU usage and we confirm successful service through function evaluation on a real test bed. We estimate QR code recognition speed as the amount of network equipment is gradually increased, improving user service and confirm that the speed of recognition is increased as the assigned number of network devices is increased by the user service.
The Network architecture using the deployment of VNF (Virtual Network Function) based on NFV(Network Functions Virtualization) enables to provide fast service to the user, since it has flexible structure in mobile traffic. In this paper, we propose the network configuration scheme capable of VNF deployment through low-cost compute node for the small cell such as 5G UDN(Ultra Dense Network). In addition to, we describe the network architecture without the special settings and connection. By using resource utilization test, we demonstrate an ability of the proposed network architecture.
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