Enabling decentral collaborative innovation processes - a web based real time collaboration platform

The main goal of this paper is to define a collaborative innovation process as well as a supporting tool. It is motivated through the increasing competition on global markets and the resultant propagation of decentralized projects with a high demand of innovative collaboration in global contexts. It bases on a project accomplished by the author group. A detailed literature review and the action design research methodology of the project led to an enhanced process model for decentral collaborative innovation processes and a basic realization of a browser based real time tool to enable these processes. The initial evaluation in a practical distributed setting has shown that the created tool is a useful way to support collaborative innovation processes.Comment: multikonferenz wirtschaftsinformati

Joining and aggregating datasets using CouchDB

Data mining typically requires implementing operations that involve cross-cutting entity boundaries and are awkward to implement in document-oriented databases. CouchDB, for example, models entities as documents, with highly isolated entity boundaries, and on which joins cannot be directly performed. This project shows how join and aggregation can be achieved across entity boundaries in such systems, as encountered for example in the pre-processing and exploration stages of educational data mining. A software stack is presented as a means by which this can be achieved; first, datasets are processed via ETL operations, then MapReduce is used to create indices of ordered and aggregated data. Finally, a Couchdb list function is used to iterate through these indices and perform joins, and to compute aggregated values on joined datasets such as variance and correlations. In terms of the case study, it is shown that the proposed approach to implementing cross-document joins and aggregation is effective and scalable. In addition, it was discovered that for the 2014 - 2016 UCT cohorts, NBT scores correlate better with final grades for the CSC1015F course than do Grade 12 results for English, Science and Mathematics

A web-based AI assistant Application using Python and JavaScript

Our research is mainly based on a chatbot which is powered by Artificial Intelligence. Nowadays, Artificial Intelligence assistants such as Apple’s Siri, Google’s Now and Amazon’s Alexa are currently fast-growing and widely integrated with many smart devices. These assistants are built with the primary purpose of being personal assistants for every individual user in certain contexts. In this research, we would highlight the development process of the chatbots, features, problems, case studies and limitations. This research delivers the information, helps developers to build answer bots and integrate chatbots with business accounts. The aim is to assist users and allow transactions between client companies and their customers. As a result, users can accomplish results to queries as well as clients can grow their business

Real-time integration of IEQ with BIM - user centered approach

Altering indoor environment to increase occupants comfort may increase their productivity and reduce waste in time, energy and resources. This work attempts to understand occupants behavior and comfort to build a platform that visualizes user-centered parameters related to indoor environment in real-time using IoT. User-centered prototype platform was designed, built and tested. Gamification concepts was applied to increase participation. The results were visualized and spatially mapped to the 3D model. This platform may help users build better perception about their indoor environment,i.e in offices, schools, hotels and hospitals, using interactive content and games. Also, it may help decision makers to take faster and better decisions, relying on the abundance of user-centered data, which may help in quality improvement. A test with around 20 users was made to assess indoor and learning environments. Many have found the system useful and easy to use on their mobile devices. Users shared valuable feedbacks and ideas for further developments. The first experiment gave important insights for possible future tests

A Tool for Sharing and Visualization of Skydiving Records

Cílem téhle práce je vytvoření webové aplikace, která umožní maximálně jednoduchou 3D vizualizaci a sdílení vložených GPS záznamů. Je určená především pro aerosporty. Aplikace je postavená na full-stack JavaScript platformě Meteor.js, má webové uživatelské rozhraní a na 3D vizualizaci v prohlížeči využívá WebGL knihovnu three.js. Tato forma umožňuje dosáhnout požadovanou širokou dostupnost a jednoduchost používaní. Aplikace je cenným nástrojem na analýzu sportovních výkonů, protože umožňuje jednoduše získat přesnou představu o skutečné trajektorii vysoko nad zemí, kde to kvůli absenci blízkého referenčního bodu není možné jenom vizuálně.Purpose of this work is to create a web application which would enable easiest possible 3D visualisation and sharing of uploaded GPS logs. It is intended mainly for aerosports. The application is built on the full-stack JavaScript platform Meteor.js, it features a web user interface and utilizes WebGL library three.js for 3D visualisations in browser. This form allows to achieve intended accessibility and simplicity of usage. The application is a valuable sports performance analysis tool. It brings accurate view of the actual trajectory in the sky where it's otherwise impossible due to the absence of a close visual reference point.