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Production platforms present an attractive solution to managing increasing product variety in production systems. Forming production systems platforms can potentially facilitate changeable manufacturing and co-development of products and production systems. One of the first steps in developing a production platform is the identification of the potential candidates. A scheme for classification coding of production systems is presented. Coded production systems can be compared across a manufacturer’s departments in order to identify commonalities between systems, and thus identify candidates for platform development. The production system classification code consists of four sub-codes with four to ten digits each describing physical or logical characteristics on production system or cell levels. The four sub-codes are structured into blocks of classification code, which digitally represent and describe complete production systems. They facilitate the comparison and identification of similarity and commonality patterns using the code digits and values. A production system case study is used for illustration and is represented as a block of code following the developed coding scheme. The production systems classification code can be used as a decision support tool in the early phases of production systems platform development, and for capturing information on the rationale, structure, processes and enablers of flexible and changeable production systems.

The social network is a platform where a big number of data can be collected as the number of social network users grows each day. Many data scientists are investigating the correlation of those data collected from different users and different locations on the social network. In this research, a platform is developed to stream the Twitter APIs to study the social network analysis on Twitter. This platform development process will be divided into three process, including extraction, classification and application process. This streaming process will be done using Tweepy, an open source Python library for Twitter API that is used in the Twitter data mining process. The data extracted from this process will later be visualized in a visualization tool for social network analysis. This platform is intentionally created to aid the user to analyze the data extracted from Twitter with a simple application. The sentiment analysis from various tweets will be analyzed using machine learning tool and visualized in graph for better visualization.

This paper conducts an in-depth study on the current problems of decentralized and single teaching resources, and combines the characteristics of immersion and interaction of virtual reality technology to build an online professional teaching resource library platform for virtual simulation. From the platform development standards, platform construction design and platform application flow, this paper makes a detailed research and illustration to provide reference for researchers engaged in the reform of professional teaching resource library platform.

This paper describes the work pursued within the TV-assistdem project, an AAL initiative, the aim of which is to develop a technological tool to facilitate remote support to patients affected by Mild Cognitive Impairment (MCI). The idea is to exploit TV-based transmission of data and video-interactivity among health-professionals, patients, caregivers and family members to support MCI older users. The objective of TV-assistdem goes beyond the realisation of the necessary technological effort, and extends to the delivery of a longitudinal experimentation on an European scale. The paper gives an overview of the project and presents the results of the user requirements elicitation effort carried out during the first phase involving users to gather valuable indications for the platform development. A presentation of the platform functionalities is also provided and the current status of the implementation effort is finally presented.

This paper is about the models translation support for mobile robotic platform simulation. Application of expert system and multilanguage translation tools were proposed to hasten and simplify the process of models’ code generation in the required format at mobile robotic platform development. Usage of intelligent support and the created translating module was explained and illustrated on the example of models conversion into the format required for Robot Operating System. The Developed application was examined and the results were reviewed.

Online discussion platforms have the potential to support or even improve older adults’ well-being. Nonetheless, potential health benefits are often shaped by the usability of such platforms. Improving usability is imperative to maximize these potential benefits. As a part of a qualitative analysis of a study of an online community for older adults with frailty symptoms, we developed and refined a coding scheme targeting usability. The scheme was derived by reviewing contemporary literature on user experience, usability, and health information technology in older adults. Our review revealed challenges to apply commonly used terms to summarize our qualitative data. For example, the concept of perceived usability has different meanings and definitions in existing frameworks as they pertain to user engagement and technology adoption (specifically, the Technology Acceptance Model) than usability in an online discussion context for older adults. Because none of the meanings of usability fully encompassed the breadth of this concept for older users, we developed a coding scheme that is practical and captures a broad range of older adults’ perceptions of usability. Through qualitative analysis of the online discussion content using the newly developed coding scheme, new themes emerged such as confusing layout (e.g., difficulty in locating discussion boxes), insufficient instruction or training (trouble posting discussions), unwanted results (e.g., pressed a wrong key), and memory issues and cognitive burden. This presentation describes the process of developing a coding scheme, illustrates nuances of meanings in concepts related to usability, and presents preliminary results of our qualitative analysis.

This paper was studied on the important function of mobile interactive model for the Massive Open Online Course (MOOC) under Chinese context. We did empirical study to find out which function should be considered when designing a mobile MOOC platform. The author conducted a questionnaire in Distance Education School of Zhejiang University from the perspective of the main online learning users. We used the method of factor analysis by SPSS16.0 to analyze the research results. Through simplifying the interactive function of each module and analyzing the research results, the important function of mobile interactive model for MOOC composed of 5 modules and 7 factors were put forward. Our works have certain reference to the study of platform development and development for MOOC. Keywords: Mobile learning, Interactive mode, Factor analysis, MOOC.

This paper proposes an open healthcare platform structure design and suggests an authenticated registration process that links to a mobile device to enable convenient registration and sharing of diverse types of medical devices and services. Furthermore, in order to verify the effectiveness of the proposed registration method, the paper introduces and implements a health IoT-based mobile application. This research was completed with the intent that the results will contribute to user authentication and platform development for IoT-based medical devices in the future

With the rapid development of mobile internet, The campus life is deeply changing. Campus Mobile Office Platform can make the teachers’ and students' campus life more facilitate. The main functions of the platform are campus bulletin, teaching arrangement, course inquiry, examination arrangements, student achievement, attendance information, leave applications, e-mail, online learning, library, campus positioning, network repair, part-time information, second-hand information. This paper studies the basic functions and the key problems of platform development, then gave the solution for the key problems

In the current, Colleges students are universal love Taekwondo, it has been widely spread in the university, and some universities will Taekwondo to set for compulsory courses of sports teaching. And now the study is less for Taekwondo of foreign spread, the study of Taekwondo is also confined to the study of Taekwondo for college students’ psychological health effects research, and rarely to analysis of Taekwondo in domestic colleges are widely spread reason. This article is mainly based on this to solve this problem, analysis of Taekwondo popular reasons in collage. According to college students to conduct research and reliability validity and factor analysis, it can draw Taekwondo widespread promotion factor, which can better enhance the student body quality improvement and can rich the universities sports teaching, to achieve physical exercise and lifelong education to lay a good solid foundation.

In this paper, an implementation framework of electromechanical equipment online management was put forward by studying on key technology of coal mine electromechanical equipment online management based on web. Based on ASP.NET technology, C# as development language, Oracle10g database for data processing, it realized cross-regional and inter-provinces multi-sector information online management, information sharing and report form processing, improved electromechanical equipment management efficiency of mine enterprises and reduced management costs.

In the manufacturing system, production-planning is very important in effective management for expensive production facilities and machineries. To enhance efficiency of Manufacturing Execution System(MES), a manufacturing system that reduces the difference between planning and execution, certain production-planning needs a dispatching rule that is properly designed for characteristic of work information and there should be a appropriate selection for the rule as well. Therefore, in this paper dispatching rule will be selected by several simulations based on characteristics of work information derived from process planning data. By constructing information that are from simulation into ontology, one of the knowledge-based-reasoning, production planning platform based on the selection of dispatching rule will be demonstrated. The platform has strength in its wider usage that is not limited to where it is applied. To demonstrate the platform, RacerPro and Protg are used in parts of ontology reasoning, and JAVA and FlexChart were applied for production-planning simulation.

Classifying and abstracting the temporal information of land environment in this paper, from the aspects of air, earth and life, analysising temporal logic and description in geographic entities of land environment, abstract lot to spatial objects, exploring that the definition of space object, temporal evolution and organization and storage methods of dynamic spatio-temporal data; combining closely the object-oriented with the SOA, constructing a model that SOA-based spatio-temporal data frame of "air-earth-life" in land environment. Studies have shown that, it’s the internal demand and the inevitable choice for platform development of integrated information management in land environment to construct by using SOA.

The sentiment information implied in the content of Social Networking Services (SNS) is of great technical and social significance, which has attracted a lot of researchers in different fields. Chinese text sentiment analysis is still in its starting stage, and most of the previous sentiment analysis algorithms are either inaccurate or inefficient. The purpose of this paper is to propose an algorithm performing well in both accuracy and efficiency, and apply it into a real time platform. A sentiment analysis algorithm on Chinese micro-blog content is introduced firstly, which achieves an outstanding accuracy but performs badly in efficiency. Then we optimize it with three strategies: data structure optimization, query strategy optimization, and parallel optimization. The experiment shows these strategies are very effective and the optimized algorithm is over 100 times more efficient than the basic algorithm. Based on the optimized algorithm, a text sentiment analysis platform is developed for real time sentiment. The platform offers two main functions including text sentiment analysis and user sentiment timeline. The results are outputted through a group of open APIs, which can be revoked by other developers and reduces their development costs. As a whole, the platform performs well on responding rate, capacity of concurrent users, stability and expandability.

In the following we describe data sets, parameters and techniques that are pivotal to all following chapters serving as basis for the proposed machine learning approaches. The majority of novel techniques presented in this book are developed and evaluated on data-sets from applications containing interactions from real users performing real tasks.

This paper provides an overview of virtual reality based dynamic 3D network of celadon products platform key technologies and development process, put forward the platform development framework, implement a celadon products network show solutions, and Optimization of WEB3D platform.

In this article, a major research is done in audio products invoices information management platform development of the association rules based on data. Audio products start rapidly for some time. The article mainly introduces the process of audio products invoices information management platform. This site uses a modular design method, according to the requirements of users and the ease of application and maintenance to use program, it placed in various parts of the system among different modules.

Organizations generally lose their domain experiences when key developers leave from the organization which doesn't have a powerful and effective infrastructure to collect, package, validate, and spread experience. In a recent project aimed at building a general purpose embedded application development platform, we developed an Eclipse-based IDE to accelerate our embedded development process, codify our Linux embedded software development knowledge on one extensible platform, and standardize tools, scripts, and libraries within our organization. This paper shows the approach that we used to collect domain-specific experience, component-based layered architecture of Eclipse-based platform, and our experiences on Eclipse.

This talk will give an overview of the 5-year National Basic Research Program of China (also known as the 973 Program) on Wireless Sensor Networks that was launched in September 2006 and sponsored by the Ministry of Science and Technology. This national research project involves researchers from many major universities in China and Hong Kong, and aims to tackle fundamental research issues rising in three major application domains: coal mine surveillance, water pollution monitoring, and traffic monitoring and control. The distinctive feature of this project is that it will present a systematic study of wireless sensor networks, from node platform development, core protocol design and system solution development to critical problems. This talk will address the research challenges, current progress, and future plans.

Construct a new type man-machine graphical interface for inertial navigation system, this new type GUI is built by using Qt/embedded graphical library under the environment of embedded Linux OS. Transplant the Linux operating system to the PC104 computer. Realize the across platform development between Linux and Windows OS by using Qt/embedded graphical library. At last the hardware and software design for this system is described.

The article consists of a Powerpoint presentation on product integration of multimedia computers. The areas discussed include: platform development, product development and product engineering.

We discuss the development of a prototype of a multiuser online edutainment platform to provide an immersive and engaging learning and teaching experience. This project is aimed at developing a cyberworld with game-based learning modules that have collaborative, intuitive, assistive, and educational features. Users (teachers, students, contributors) will be able to select, customize, sequence, and integrate edutainment content in a modular way. This mechanism is inspired from the in-game level design engine technology in videogames. To support learners with physical and mental disabilities, technologies such as intelligent agents and assistive devices are employed. Edutainment modules to assist patients in rehabilitation and to support children with specific learning disabilities are developed. This platform is developed and evaluated in 4 stages: standalone, integrated, online, and multiuser. To ensure scalability and transferability, this platform is developed based on the SCORM standard.

This chapter will outline the challenges in platform development for digital consumer home devices delivering multimedia content and novel services and applications. It will detail the requirements on this market and the approaches taken by Philips Semiconductors when developing the Nexperia-Digital Video Platform. The Nexperia-Digital Video Platform (Nexperia-DVP) comprises a family of Systems on a Chip (SoCs) and a software platform that allows Philips’ customers to build cost effective, flexible Digital Video appliances.

Colloque avec actes et comité de lecture. Internationale.; International audience; This account presents the foundation of PROTEUS project programme which consists in designing and modelling of the computer platform for integration of maintenance applications. The presentation is focused on basic requirements defining project's rationale and on the choice of technologies which contribute to the development of the platform.