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It is usual for a consumer to search a product based on its category and go to related kind of shop to buy a product, e.g. food in supermarket, a pencil from a stationary shop and etc. While it is not uncommon nowadays for a shop to sell various categories of goods at the same time, like a newspaper stand do sell toys, an accessory shop has stationary. However, consumer may not easily notice and purchase...
The state-of-practice for Internet of Things (IoT) applications is deployment on specialised networks of embedded devices connected to a cloud backend. While this paradigm has successfully supported a range of IoT systems, its power is limited by the high latency and bandwidth caused by communications with remote data servers and the inability to share specialised IoT infrastructure across applications...
This paper presents the development of an Indigenous On-Board Diagnostic Kit and a remote on-line diagnostic system for Euro standard vehicles using On-Board Diagnostics (OBD) and GSM technology. The different parts of the system are indigenous developed OBD Kit, Communication Module and GUI for main server. The vehicles are equipped with OBD kits and communication modules with GSM, The Electronic...
Docker has been widely adopted in enterprise-level container environment. As an important part of Docker-based container ecosystem, Docker Registry provides the service of storing, distributing and managing Docker images, which is crucial to run Docker containers. In large-scale container platforms, deploying applications is prone to overburdening Docker Registry with flooding network traffic, and...
Virtual Environments have become a compelling tool for various applications beyond gaming and Virtual Worlds, for example for education, collaborative engineering, or simulation and visualization. In the emerging field of smart environments, like Smart Cities and Smart Factories for industry or agriculture, a digital counterpart of a real world site, driven by hundreds of Internet of Things (IoT)...
To solve the problems of heterogeneous data types and large amount of calculation in making decision for big data, an optimized distributed OLAP system for big data is proposed in this paper. The system provides data acquisition for different data sources, and supports two types of OLAP engines, Impala and Kylin. First of all, the architecture of the system is proposed, consisting of four modules,...
Currently, when companies conduct risk analysis of own networks and systems, it is common to outsource risk analysis to third-party experts. At that time, the company passes the information used for risk analysis including confidential information such as network configuration to third-party expert. It raises the risk of leakage and abuse of confidential information. Therefore, a method of risk analysis...
Thanks to the huge amount of sequenced data that is becoming available, building scalable solutions for supporting query processing and data analysis over genomics datasets is increasingly important. This paper presents GDMS, a scalable Genomic Data Management System for querying region-based genomic datasets; the focus of the paper is on the deployment of the system on a cluster hosted by CINECA.
In order to achieve sustainability in the context of advances in science and technology, it is necessary to transform the traditional tourist attractions into smart tourist attractions by combining smart and information technologies with scientific management. Navigation and guide is an important module of smart tourist attraction. A navigation and guide service system based on smart phone is proposed...
A WebVR-based laboratory built on the basis of NCSLab framework is introduced in this paper. Three.js 3D engine is integrated in the proposed laboratory to support VR 3-D animation based on HTML5 standard. In addition, VR Visualization Interface is added in NCSLab 3-D as a new feature to create a virtual reality environment for control engineering education. The dynamic generated QR code on Experiment...
In this work two approaches of backward chaining inference implementation were compared. The first approach uses a classical, goal driven inference running on the client device — the algorithm implemented within the KBExpertLib library was used. Inference was performed on a rule base buffered in memory structures. The second approach involves implementing inference as a stored procedure, run in the...
This paper presents the cloud infrastructure of the AEGLE project, that targets to integrate cloud technologies together with heterogeneous reconfigurable computing in large scale healthcare systems for Big Bio-Data analytics. AEGLEs engineering concept brings together the hot big-data engines with emerging acceleration technologies, putting the basis for personalized and integrated health-care services,...
Model driven engineering allows many stakeholders to contribute their expertise to the system description. This practice enables agility but implies consistency maintenance issues between different system models. Incremental model transformations (IMT) are used to synchronize different artifacts contributed by the stakeholders. IMTs detect changes on the source model and execute change rules to propagate...
With the continuing penetration of sensor devices and the development of wireless communication techniques, increasing number of applications involving context awareness in ubiquitous computing have been used in daily life. How to collect data from mobile devices at a low energy cost and to mine contextual habits of users remains a key challenge for ubiquitous computing. We proposed an efficient context-...
We present Hammer, a real-world, end-to-end network traffic simulator, capable of simulating complex and dynamic network, user and server behaviors. The focus of this tool is to primarily facilitate investigations related to product stability, for instance different aspects of capacity, longevity, memory leaks, cores and also handle customer content testing that will reveal the behavior of the device...
The traffic safety information is essential for intelligent transportation, as for the current collected traffic information, the effective utilization rate is relatively low, it is also difficult to evaluate the information availability and effectiveness, so developing a good traffic information warning platform is very significant for public travelers. Based on this, using the typical expressway...
Workflows have been widely used to coordinate business activities, software components and services. By making use of cloud resources, workflow systems can be deployed as common services to process a large quantity of workflow execution requests from various users. A challenge for the workflow service is that it should be elastic, i.e., to scale up or scale down to meet the requirements of processing...
Database is widely used for information storage and management. With the explosion of the data size, the requirement of the storage capacity is growing dramatically. Cloud offers clients a scalable solution to meet the demand of the increasing space. A cloud service, if used and managed properly, can increase the resource usability and provide more secure services. In this paper, we propose a cloud-based...
This paper explores methodologies, advantages and challenges related to the use of the Information Centric Network technology for developing NoSQL distributed databases, which are expected to play a central role in the forthcoming IoT and BigData era. ICN services make possible to simplify the development of the database software, improve performance, and provide data-level access control. We use...
Lag compensation is widely implemented in shooter games to mitigate the impact of network latency. “Shot around a corner” is an inconsistency introduced by lag compensation that still exists in many recent titles. In this paper, we investigate the influence of network latency and movement speeds on the rollback distances, and how they in turn affect the perceived “shot around a corner” frequencies...
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