Uniform: The Form Validation Language

Digital forms are becoming increasingly more prevalent but the ease of creation is not. Web Forms are difficult to produce and validate. This design project seeks to simplify this process. This project is comprised of two parts: a logical programming language (Uniform) and a web application. Uniform is a language that allows its users to define logical relationships between web elements and apply simple rules to individual inputs to both validate the form and manipulate its components depending on user input. Uniform provides an extra layer of abstraction to complex coding. The web app implements Uniform to provide business-level programmers with an interface to build and manage forms. Users will create form templates, manage form instances, and cooperatively complete forms through the web app. Uniform’s development is ongoing, it will receive continued support and is available as open-source. The web application is software owned and maintained by HP Inc. which will be developed further before going to market

DPMbox: An interactive user-friendly web interface for a disk-based grid storage system

Disk Pool Manager (DPM) es un sistema de gestión de almacenamiento que se usa dentro del Worldwide LHC Computing Grid. Ha sido desarrollado en el CERN y actualmente es el más usado dentro de esta infraestructura de computación distribuida. Avanzando hacia el uso de estándares que faciliten el uso de DPM, recientemente se implementó una interfaz WebDAV (una extensión del protocolo HTTP) para este sistema. A pesar de ello esta interfaz aún ofrece una funcionalidad básica, sobre todo accediendo desde un navegador web, lo que hace que siga siendo necesario usar algunas herramientas especiales. El objetivo de DPMbox es ofrecer una interfaz realmente amigable, intuitiva y que pueda usarse con herramientas ya conocidas por los usuarios, como es el caso de un navegador web, atrayendo así a usuarios menos técnicos de la comunidad científica. El proyecto basa su construcción en la interfaz WebDAV implementada y hace uso de tecnologías maduras y estándar que permiten este desarrollo como JavaScript/ECMAScript a través de jQuery u otras librerías de apoyo, así como HTML y CSS. Al realizarse como colaboración con el CERN el desarrollo se centra en las funcionalidades requeridas por el sistema DPM. Aún así, uno de los objetivos es que habiendo cumplido los requisitos iniciales, el sistema sea extensible y facilmente adaptable, haciendo posible su uso con otros sistemas que ofrezcan el protocolo WebDAV de manera general.Disk Pool Manager (DPM) is a lightweight storage management system for grid sites. It has been developed in CERN (European Organization for Nuclear Research), and it is the most widely adopted solution in the Worldwide LHC Computing Grid infrastructure. Attracting less technical users has been an objective for the last years, thus, as an effort to move towards standard protocols that removes the need of special tools, DPM started offering a WebDAV (an extension of the HTTP protocol) interface, facilitating the access through commonly available tools, i.e. web browsers or WebDAV clients. However, this interface only provides basic functionality, especially when accessed from a web browser, making it still necessary to use some specific tools. DPMbox is a project for a friendly web interface that allows both technical and nontechnical users to manage their data from and into the grid by accessing it trough their web browsers. The project has been built getting advantage of the implemented WebDAV front-end, and as a web development it uses standard and mature web technologies like HTML, CSS and JavaScript/ECMAScript as its core language. As a collaboration with CERN, the development has been focused on the functionality required by the DPM, but one of the objectives is to make DPMbox easily expandable and flexible, enabling its use with other systems that offer the WebDAV protocol

Carnap: an Open Framework for Formal Reasoning in the Browser

This paper presents an overview of Carnap, a free and open framework for the development of formal reasoning applications. Carnap’s design emphasizes flexibility, extensibility, and rapid prototyping. Carnap-based applications are written in Haskell, but can be compiled to JavaScript to run in standard web browsers. This combination of features makes Carnap ideally suited for educational applications, where ease-of-use is crucial for students and adaptability to different teaching strategies and classroom needs is crucial for instructors. The paper describes Carnap’s implementation, along with its current and projected pedagogical applications

Hikester - the event management application

Today social networks and services are one of the most important part of our everyday life. Most of the daily activities, such as communicating with friends, reading news or dating is usually done using social networks. However, there are activities for which social networks do not yet provide adequate support. This paper focuses on event management and introduces "Hikester". The main objective of this service is to provide users with the possibility to create any event they desire and to invite other users. "Hikester" supports the creation and management of events like attendance of football matches, quest rooms, shared train rides or visit of museums in foreign countries. Here we discuss the project architecture as well as the detailed implementation of the system components: the recommender system, the spam recognition service and the parameters optimizer

Slicer

Explorative data visualization is a widespread tool for gaining insights from datasets. Investigating data in linked visualizations lets users explore potential relationships in their data at will. Furthermore, this type of analysis does not require any technical knowledge, widening the userbase from developers to anyone. Implementing explorative data visualizations in web browsers makes data analysis accessible to anyone with a PC. In addition to accessibility, the available types of visualizations and their interactive latency are essential for the utility of data exploration. Available visualizations limit the number of datasets eligible for use in the application, and latency limits how much exploring the users are willing to do. Existing solutions often do all the computation involved in either the client application or on a backend server. However, using the client limits performance and data size since hardware resources in web browsers are scarce, and sending large datasets over a network is not feasible. Whereas server-based computation often comes with high requirements for server hardware and is limited by network latency and bandwidth on each interaction. This thesis presents Slicer, a framework for creating explorative data visualizations in web browsers. Applications can be created with minimal developer effort, requiring only a description of the visualizations. Slicer implements bar charts and choropleth maps. The visualizations are linked and can be filtered either by brushing or clicking on single targets. To overcome the hurdles of pure client- and server-reliant solutions, Slicer uses a hybrid approach, where prioritized interactions are handled client-side. Recognizing that different types of interactions have different latency thresholds, we trade the cost of switching views for low latency on filtering. To achieve real-time filtering performance, we follow the principle that the chosen resolution of the visualizations, not data size, should limit interactive scalability. We describe use of data tiles accommodating more interactions than shown in earlier work, using an approach based on delta differencing, which ensures constant time complexity when filtering. For computing data tiles, we present techniques for efficient computation on consumer hardware. Our results show that Slicer can offer real-time interactivity on latency-sensitive interactions regardless of data size, averaging above 150Hz on a consumer laptop. For less sensitive interactions, acceptable latency is shown for datasets with tens of millions of records, depending on the resolution of the visualizations