The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Many companies monitor status of product and detect storing or releasing of stocks using RFID technology. The actual status of inventory, however, is sometimes different from the recorded data due to many reasons. To prevent the mismatch between real world and information system, companies investigate stocks regularly and adjust the status of information system. In open storage yard, manual inventory...
Our previous work suggested a method to connect online shopping services with social funding projects in order to provide a plenty of donating places for users to provide their shopping rewards and to improve the donation culture in our society. In this paper, we discuss the structure to implement the method using Apache Kafka, a well-known distributed publish/subscribe system, and present several...
The LiDAR technology is a data capturing tool that measures distances by illuminating the targets with laser lights. Many geometric applications use this LiDAR technology to build terrains and 3D models of buildings, cultural heritages and variety of objects. Efficiently handling point clouds from the LiDAR scanners is critical for data handling. In this paper, we present a LiDAR-based terrain editing...
Mobile devices, easily accessibly without constraints of time or space, have emerged as a means to replace existing mode of exercise. Smartphone applications have been the most commonly adopted for exercise data management. As users can select their desired applications, convenience increases significantly. Wearable devices, which feature tracking terminals, have gained grounds rapidly even in health...
In this paper, we propose a memory accessing method of Parallel Failureless Aho-Corasick (PFAC) algorithm considering Graphic Processing Unit (GPU) memory architecture for throughput improvement. Compared with Aho-Corasick (AC) Algorithm using Central Processing Unit (CPU) and Data-Parallel Aho-Corasick (DPAC) using Open Multi-Processing (OpenMP), PFAC using GPU achieves high performance advancement...
The continuous evolution of the telecommunication network architecture has made their network functions to become more available and utilizable. With SDN/NFV network service providers can program their own network functions on the standard commercial hardware platform. SDN/NFV enable more efficient utilization of resources and better service agility. It supports new network services faster and less...
This paper proposes a AR-based hybrid broadcasting system via broadcast and broadband networks under terrestrial DTV environment. Augmented Reality (AR) technology is a kind of mixed reality which 2D/3D graphics are integrated into the real world in order to enhance user experience and enrich information. A goal of AR-based hybrid broadcasting system is to enable broadcasting program using AR technology...
Fast data (the next step after big data) revolution leads to new requirements in data processing platforms. To overcome the fast data bottleneck caused by data in extremely rapid transit, adaptive data approximation is one of the alternative ways to handle incredible data speed. In this paper, we present an approximate iterative method for fast data analysis and investigate what benefits and opportunities...
Security is often treated as secondary or a non- functional feature of software which influences the approach of vendors and developers when describing their products often in terms of what it can do (Use Cases) or offer customers. However, tides are beginning to change as more experienced customers are beginning to demand for more secure and reliable software giving priority to confidentiality, integrity...
Many open source software (OSS) are developed under the OSS projects all over the world. Then, the software faults detected in OSS projects are managed by the bug tracking systems. Also, many data sets are recorded on the bug tracking systems by many users and project members. In this paper, we propose the useful method based on the deep learning for the improvement activities of OSS reliability....
The rapid growth of biometric technologies and wide accessibility of capturing devices has resulted in biometric systems becoming increasingly common in different applications. This has led to the introduction of ATMs in countries like Japan that have adapted biometrics, whereby fingerprints are used instead of PINs. Whilst in South Africa, biometrics is still not regulated in financial sectors. South...
HDFS has been widely used for storing massive scale data which is vulnerable to site disaster. The file system backup is an important strategy for data retention. In this paper, we present an efficient, easy- to-use Backup and Disaster Recovery System for HDFS. The system includes a client based on HDFS with additional feature of remote backup, and a remote server with a HDFS cluster to keep the backup...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.