UNIFORM SMARTPHONE CONTROLLER FOR WEB-BASED VIRTUAL REALITY PURPOSES

This work introduces a uniform smartphone controller interface integrated into LIRKIS G-CVE web-based global collaborative virtual environments. In general, VR controllers provide various kinds of interaction techniques to manipulate virtual objects. Mostly, those aim focus on controlling the virtual context and the interaction with 3D GUI integrated in the virtual environment. With respect to web-based virtual reality, the progress in development of uniform interfaces is raising thanks to emerging web technologies and frameworks with cross-platform support. Although there are many manufacturers of VR controllers, their usage is often limited only for specified display device. Our intention is to cover multiple devices through only one simple controller interface, that is capable to provide a variety of interactions for web-based VR. In this study we proposed Enhanced Smart Client Interface designed for providing fully immersive interaction through smartphones. We performed several experiments focused on user experience and usability under two cloud platforms. Results obtained from experiments performed in our study confirm that utilization of our interface is mostly affected by the server response time. Based on the results this solution is suitable for further development and improvements.

Current Innovation Sources Driving The Spanish Electric Power Sector

Renewable energy is not simply the cornerstone of a transition, but an entire electric power revolution. However, which are the technologies with which power companies are going to redesign the electricity industry? Interviews were conducted with innovation managers of the biggest power companies in Spain to shed some light on the innovation sources upon which the electric power system of the future is based. The results revealed that renewable electricity represents a complete paradigm shift. Until now, the system’s net electricity balance has been achieved by adjusting power generation to its demand. However, in a renewable system, electricity generation is limited by and depends on environmental resources, so it cannot be sufficiently controlled to meet the demand at all times. Therefore, it is the electricity consumption that must be adjusted to generation. It was concluded that there are currently nine innovation sources that are redesigning the industry: renewable energy, energy storage systems, electric vehicles, Industry 4.0, smart grids, blockchain, distributed and selfconsumption generation, smart client, and demand side response. Moreover, it was found that system regulations established by governments, business sustainability plans, and open innovation by startups play key roles in the development of innovation.

LIRKIS Global Collaborative Virtual Environments: Current State and Utilization Perspective

Recent advances in the field of web technologies, including the increasing support of virtual reality hardware, have allowed for shared virtual environments, reachable by just entering a URL in a browser. One contemporary solution that provides such a shared virtual reality is LIRKIS Global Collaborative Virtual Environments (LIRKIS G-CVE). It is a web-based software system, built on top of the A-Frame and Networked-Aframe frameworks. This paper describes LIRKIS G-CVE and introduces its two original components. The first one is the Smart-Client Interface, which turns smart devices, such as smartphones and tablets, into input devices. The advantage of this component over the standard way of user input is demonstrated by a series of experiments. The second component is the Enhanced Client Access layer, which provides access to positions and orientations of clients that share a virtual environment. The layer also stores a history of connected clients and provides limited control over the clients. The paper also outlines an ongoing experiment aimed at an evaluation of LIRKIS G-CVE in the area of virtual prototype testing.

Intelligent Automation Using Machine and Deep Learning in Cybersecurity of Industrial IoT

Artificial intelligence is making significant changes in industrial internet of things (IIoT). Particularly, machine and deep learning architectures are now used for cybersecurity in smart factories, smart homes, and smart cities. Using advanced mathematical models and algorithms more intelligent protection strategies should be developed. Hacking of IP surveillance camera systems and Closed-Circuit TV (CCTV) vulnerabilities represent typical example where cyber attacks can make severe damage to physical and other Industrial Control Systems (ICS). This chapter analyzes the possibilities to provide better protection of video surveillance systems and communication networks. The authors review solutions related to migrating machine learning based inference towards edge and smart client devices, as well as methods for DDoS (Distributed Denial of Service) intelligent detection, where DDoS attack is recognized as one of the primary concerns in cybersecurity.

Implementation of CTR Dairy Model Using the Visual Basic for Application Language of Microsoft Excel

The goal of the article is to implement the CTR Dairy model using the Visual Basic for Application (VBA) language of Microsoft Excel. CTR Dairy is a dynamic simulation model for grazing lactating dairy cows that predicts milk production and profit over feeding based on ruminal digestion and absorption of nutrients under discontinuous feeding schedules. The CTR Dairy model was originally developed as a research tool using a proprietary computer simulation software called SMART that required the SMART client to run the program. As SMART software is now discontinued, and its client is no longer available, rewriting the model in the VBA language using Microsoft Excel for inputs and outputs makes the program available to a broad range of users including dairy farmers, extension advisors, dairy nutrition consultants and researchers. Dairy farmers can use the new version of the CTR Dairy program to manipulate the herbage allowance and the access time to the grazing paddock, as well as the timing of supplemental feeding, to improve the utilization of the pasture and to increase the production of the milk.

Design and Implementation of Bohai Oil Spill Emergency Response Platform Based on Smart Client

Bohai Sea is a fragile ecological and economic area with frequent oil pollution. On the basis of the actual business demands of oil spill emergency companies in Bohai, this paper puts forward to building the oil spill emergency response platform with "decision-makers view", which created an extendable emergency platform with Smart Client framework suitable for multi department cooperation and growing applications. The platform contains four main modules: (I) forecast and decision; (II) decision supports; (III) auxiliary supports; (IV) framework management. At the same time, the platform realizes many kinds of auxiliary analytical functions such as monitoring analysis, sensitive area analysis, case analysis, resource allocation etc with WebService and GIS technologies. It automatically provides a comprehensive decision list to the decision-maker before emergency actions. The application of the platform will shorten much time of the emergency preparation compared with manual brain decision, and improve the efficiency of the oil spill emergency greatly.

The Design of the Campus Short Message Platform Based on Smart Client

In the digital construction process of universities, channels and ways of information dissemination is changing. SMS platform can able to achieve bulk SMS sending and receiving, meeting announcements and emergency notifications. It has been increasingly used by the majority of universities. This paper presents a design scheme of campus short message platform based on smart client. It can be integrated with multiple application of campus network system, provides users with a richer, broader range of SMS services on campus, so as to increase productivity, reduce office costs.