Augmenting human memory using personal lifelogs

Memory is a key human facility to support life activities, including social interactions, life management and problem solving. Unfortunately, our memory is not perfect. Normal individuals will have occasional memory problems which can be frustrating, while those with memory impairments can often experience a greatly reduced quality of life. Augmenting memory has the potential to make normal individuals more effective, and those with significant memory problems to have a higher general quality of life. Current technologies are now making it possible to automatically capture and store daily life experiences over an extended period, potentially even over a lifetime. This type of data collection, often referred to as a personal life log (PLL), can include data such as continuously captured pictures or videos from a first person perspective, scanned copies of archival material such as books, electronic documents read or created, and emails and SMS messages sent and received, along with context data of time of capture and access and location via GPS sensors. PLLs offer the potential for memory augmentation. Existing work on PLLs has focused on the technologies of data capture and retrieval, but little work has been done to explore how these captured data and retrieval techniques can be applied to actual use by normal people in supporting their memory. In this paper, we explore the needs for augmenting human memory from normal people based on the psychology literature on mechanisms about memory problems, and discuss the possible functions that PLLs can provide to support these memory augmentation needs. Based on this, we also suggest guidelines for data for capture, retrieval needs and computer-based interface design. Finally we introduce our work-in-process prototype PLL search system in the iCLIPS project to give an example of augmenting human memory with PLLs and computer based interfaces

Regional Data Archiving and Management for Northeast Illinois

This project studies the feasibility and implementation options for establishing a regional data archiving system to help monitor and manage traffic operations and planning for the northeastern Illinois region. It aims to provide a clear guidance to the regional transportation agencies, from both technical and business perspectives, about building such a comprehensive transportation information system. Several implementation alternatives are identified and analyzed. This research is carried out in three phases. In the first phase, existing documents related to ITS deployments in the broader Chicago area are summarized, and a thorough review is conducted of similar systems across the country. Various stakeholders are interviewed to collect information on all data elements that they store, including the format, system, and granularity. Their perception of a data archive system, such as potential benefits and costs, is also surveyed. In the second phase, a conceptual design of the database is developed. This conceptual design includes system architecture, functional modules, user interfaces, and examples of usage. In the last phase, the possible business models for the archive system to sustain itself are reviewed. We estimate initial capital and recurring operational/maintenance costs for the system based on realistic information on the hardware, software, labor, and resource requirements. We also identify possible revenue opportunities. A few implementation options for the archive system are summarized in this report; namely: 1. System hosted by a partnering agency 2. System contracted to a university 3. System contracted to a national laboratory 4. System outsourced to a service provider The costs, advantages and disadvantages for each of these recommended options are also provided.ICT-R27-22published or submitted for publicationis peer reviewe

Performance optimization and security of EEG/ERP portal

Předmětem této práce je výkonová optimalizace a bezpečnost EEG/ERP portálu vyvíjeného na Katedře informatiky a výpočetní techniky. Portál slouží jako úložiště pro data a metadata získaná při výzkumných EEG měřeních. Teoretická část této práce ukazuje základní postupy pro optimalizaci databázového modelu, informace o objektově-relačním mapování spolu se způsobem použití nástroje Hibernate a zmiňuje časté problémy vyskytující se při navrhování datové vrstvy webových aplikací. V části zabývající se bezpečností jsou uvedeny nejrozšířenější bezpečnostní hrozby webových aplikací. Praktická část se zabývá především výkonovými problémy datové vrstvy EEG/ERP portálu. Dosažené výsledky jsou shrnuty a zhodnoceny a jsou navržena doporučení pro další zlepšení v oblasti datové vrstvy aplikace a v oblasti bezpečnosti.Katedra informatiky a výpočetní technikyObhájenoThe subject of this paper is divided into two parts: the performance and the security of the EEG/ERP Portal which serves as a repository for data and metadata from EEG research and which is developed at the Department of Computer Science and Engineering. The theoretical part of this thesis introduces common patterns of database model optimization, an overview of object-relational mapping together with the use of the Hibernate tool, and common issues in the database layer of the web applications. In the security part most common security threats are mentioned in overall. The practical part focuses mainly on the performance issues of the database layer of the EEG/ERP Portal. The results are then summarized and evaluated and recommendations for further improvements of the data layer and security level are given

Applying semantic web technologies to knowledge sharing in aerospace engineering

This paper details an integrated methodology to optimise Knowledge reuse and sharing, illustrated with a use case in the aeronautics domain. It uses Ontologies as a central modelling strategy for the Capture of Knowledge from legacy docu-ments via automated means, or directly in systems interfacing with Knowledge workers, via user-defined, web-based forms. The domain ontologies used for Knowledge Capture also guide the retrieval of the Knowledge extracted from the data using a Semantic Search System that provides support for multiple modalities during search. This approach has been applied and evaluated successfully within the aerospace domain, and is currently being extended for use in other domains on an increasingly large scale