Novel Methods for Forensic Multimedia Data Analysis: Part I

The increased usage of digital media in daily life has resulted in the demand for novel multimedia data analysis techniques that can help to use these data for forensic purposes. Processing of such data for police investigation and as evidence in a court of law, such that data interpretation is reliable, trustworthy, and efficient in terms of human time and other resources required, will help greatly to speed up investigation and make investigation more effective. If such data are to be used as evidence in a court of law, techniques that can confirm origin and integrity are necessary. In this chapter, we are proposing a new concept for new multimedia processing techniques for varied multimedia sources. We describe the background and motivation for our work. The overall system architecture is explained. We present the data to be used. After a review of the state of the art of related work of the multimedia data we consider in this work, we describe the method and techniques we are developing that go beyond the state of the art. The work will be continued in a Chapter Part II of this topic

Fouille de données de santé

Dans le domaine de la santé, les techniques d’analyse de données sont de plus en plus populaires et se révèlent même indispensables pour gérer les gros volumes de données produits pour un patient et par le patient. Deux thématiques seront abordées dans cette présentation d'HDR.La première porte sur la définition, la formalisation, l’implémentation et la validation de méthodes d’analyse permettant de décrire le contenu de bases de données médicales. Je me suis particulièrement intéressée aux données séquentielles. J’ai fait évoluer la classique notion de motif séquentiel pour y intégrer des composantes contextuelles, spatiales et sur l’ordre partiel des éléments composant les motifs. Ces nouvelles informations enrichissent la sémantique initiale de ces motifs.La seconde thématique se focalise sur l’analyse des productions et des interactions des patients au travers des médias sociaux. J’ai principalement travaillé sur des méthodes permettant d’analyser les productions narratives des patients selon leurs temporalités, leurs thématiques, les sentiments associés ou encore le rôle et la réputation du locuteur s’étant exprimé dans les messages

Analyzing Tweets For Predicting Mental Health States Using Data Mining And Machine Learning Algorithms

Tweets are usually the outcome of peoples’ feelings on various topics. Twitter allows users to post casual and emotional thoughts to share in real-time. Around 20% of U.S. adults use Twitter. Using the word-frequency and singular value decomposition methods, we identified the behavior of individuals through their tweets. We graded depressive and anti-depressive keywords using the tweet time-series, time-window, and time-stamp methods. We have collected around four million tweets since 2018. A parameter (Depressive Index) is computed using the F1 score and Mathews correlation coefficient (MCC) to indicate the depressive level. A framework showing the Depressive Index and the Happiness Index is prepared with the time, location, and keywords and delivers F1 Score, MCC, and CI values. COVID-19 changed the routines of most peoples\u27 lives and affected mental health. We studied the tweets and compared them with the COVID-19 growth. The Happiness Index from our work and World Happiness Report for Georgia, New York, and Sri Lanka is compared. An interactive framework is prepared to analyze the tweets, depict the happiness index, and compare it. Bad words in tweets are analyzed, and a map showing the Happiness Index is computed for all the US states and was compared with WalletHub data. We add tweets continuously and a framework delivering an atlas of maps based on the Happiness Index and make these maps available for further study. We forecasted tweets with real-time data. Our results of tweets and COVID-19 reports (WHO) are in a similar pattern. A new moving average method was presented; this unique process gave perfect results at peaks of the function and improved the error percentage. An interactive GUI portal computes the Happiness Index, depression index, feel-good- factors, prediction of the keywords, and prepares a Happiness Index map. We plan to create a public web portal to facilitate users to get these results. Upon completing the proposed GUI application, the users can get the Happiness Index, Depression Index values, Happiness map, and prediction of keywords of the desired dates and geographical locations instantaneously

24th International Conference on Information Modelling and Knowledge Bases

In the last three decades information modelling and knowledge bases have become essentially important subjects not only in academic communities related to information systems and computer science but also in the business area where information technology is applied. The series of European – Japanese Conference on Information Modelling and Knowledge Bases (EJC) originally started as a co-operation initiative between Japan and Finland in 1982. The practical operations were then organised by professor Ohsuga in Japan and professors Hannu Kangassalo and Hannu Jaakkola in Finland (Nordic countries). Geographical scope has expanded to cover Europe and also other countries. Workshop characteristic - discussion, enough time for presentations and limited number of participants (50) / papers (30) - is typical for the conference. Suggested topics include, but are not limited to: 1. Conceptual modelling: Modelling and specification languages; Domain-specific conceptual modelling; Concepts, concept theories and ontologies; Conceptual modelling of large and heterogeneous systems; Conceptual modelling of spatial, temporal and biological data; Methods for developing, validating and communicating conceptual models. 2. Knowledge and information modelling and discovery: Knowledge discovery, knowledge representation and knowledge management; Advanced data mining and analysis methods; Conceptions of knowledge and information; Modelling information requirements; Intelligent information systems; Information recognition and information modelling. 3. Linguistic modelling: Models of HCI; Information delivery to users; Intelligent informal querying; Linguistic foundation of information and knowledge; Fuzzy linguistic models; Philosophical and linguistic foundations of conceptual models. 4. Cross-cultural communication and social computing: Cross-cultural support systems; Integration, evolution and migration of systems; Collaborative societies; Multicultural web-based software systems; Intercultural collaboration and support systems; Social computing, behavioral modeling and prediction. 5. Environmental modelling and engineering: Environmental information systems (architecture); Spatial, temporal and observational information systems; Large-scale environmental systems; Collaborative knowledge base systems; Agent concepts and conceptualisation; Hazard prediction, prevention and steering systems. 6. Multimedia data modelling and systems: Modelling multimedia information and knowledge; Contentbased multimedia data management; Content-based multimedia retrieval; Privacy and context enhancing technologies; Semantics and pragmatics of multimedia data; Metadata for multimedia information systems. Overall we received 56 submissions. After careful evaluation, 16 papers have been selected as long paper, 17 papers as short papers, 5 papers as position papers, and 3 papers for presentation of perspective challenges. We thank all colleagues for their support of this issue of the EJC conference, especially the program committee, the organising committee, and the programme coordination team. The long and the short papers presented in the conference are revised after the conference and published in the Series of “Frontiers in Artificial Intelligence” by IOS Press (Amsterdam). The books “Information Modelling and Knowledge Bases” are edited by the Editing Committee of the conference. We believe that the conference will be productive and fruitful in the advance of research and application of information modelling and knowledge bases. Bernhard Thalheim Hannu Jaakkola Yasushi Kiyok

Letters from the War of Ecosystems – An Analysis of Independent Software Vendors in Mobile Application Marketplaces

The recent emergence of a new generation of mobile application marketplaces has changed the business in the mobile ecosystems. The marketplaces have gathered over a million applications by hundreds of thousands of application developers and publishers. Thus, software ecosystems—consisting of developers, consumers and the orchestrator—have emerged as a part of the mobile ecosystem. This dissertation addresses the new challenges faced by mobile application developers in the new ecosystems through empirical methods. By using the theories of two-sided markets and business ecosystems as the basis, the thesis assesses monetization and value creation in the market as well as the impact of electronic Word-of-Mouth (eWOM) and developer multihoming— i. e. contributing for more than one platform—in the ecosystems. The data for the study was collected with web crawling from the three biggest marketplaces: Apple App Store, Google Play and Windows Phone Store. The dissertation consists of six individual articles. The results of the studies show a gap in monetization among the studied applications, while a majority of applications are produced by small or micro-enterprises. The study finds only weak support for the impact of eWOM on the sales of an application in the studied ecosystem. Finally, the study reveals a clear difference in the multi-homing rates between the top application developers and the rest. This has, as discussed in the thesis, an impact on the future market analyses—it seems that the smart device market can sustain several parallel application marketplaces.Muutama vuosi sitten julkistetut uuden sukupolven mobiilisovellusten kauppapaikat ovat muuttaneet mobiiliekosysteemien liiketoimintadynamiikkaa. Nämä uudet markkinapaikat ovat jo onnistuneet houkuttelemaan yli miljoona sovellusta sadoilta tuhansilta ohjelmistokehittäjiltä. Nämä kehittäjät yhdessä markkinapaikan organisoijan sekä loppukäyttäjien kanssa ovat muodostaneet ohjelmistoekosysteemin osaksi laajempaa mobiiliekosysteemiä. Tässä väitöskirjassa tarkastellaan mobiilisovellusten kehittäjien uudenlaisilla kauppapaikoilla kohtaamia haasteita empiiristen tutkimusmenetelmien kautta. Väitöskirjassa arvioidaan sovellusten monetisaatiota ja arvonluontia sekä verkon asiakasarviointien (engl. electronicWord-of-Mouth, eWOM) ja kehittäjien moniliittymisen (engl. multi-homing) — kehittäjä on sitoutunut useammalle kuin yhdelle ekosysteemille — vaikutuksia ekosysteemissä. Työn teoreettinen tausta rakentuu kaksipuolisten markkinapaikkojen ja liiketoimintaekosysteemien päälle. Tutkimuksen aineisto on kerätty kolmelta suurimmalta mobiilisovellusmarkkinapaikalta: Apple App Storesta, Google Playstä ja Windows Phone Storesta. Tämä artikkeliväitöskirja koostuu kuudesta itsenäisestä tutkimuskäsikirjoituksesta. Artikkelien tulokset osoittavat puutteita monetisaatiossa tutkittujen sovellusten joukossa. Merkittävä osa tarkastelluista sovelluksista on pienten yritysten tai yksittäisten kehittäjien julkaisemia. Tutkimuksessa löydettiin vain heikkoa tukea eWOM:in positiiviselle vaikutukselle sovellusten myyntimäärissä. Työssä myös osoitetaan merkittävä ero menestyneimpien sovelluskehittäjien sekä muiden kehittäjien moniliittymiskäyttäytymisen välillä. Tällä havainnolla on merkitystä tuleville markkina-analyyseille ja sen vaikutuksia on käsitelty työssä. Tulokset esimerkiksi viittaavat siihen, että markkinat pystyisivät ylläpitämään useita kilpailevia kauppapaikkoja.Siirretty Doriast

Geographic information extraction from texts

A large volume of unstructured texts, containing valuable geographic information, is available online. This information – provided implicitly or explicitly – is useful not only for scientific studies (e.g., spatial humanities) but also for many practical applications (e.g., geographic information retrieval). Although large progress has been achieved in geographic information extraction from texts, there are still unsolved challenges and issues, ranging from methods, systems, and data, to applications and privacy. Therefore, this workshop will provide a timely opportunity to discuss the recent advances, new ideas, and concepts but also identify research gaps in geographic information extraction

Front-Line Physicians' Satisfaction with Information Systems in Hospitals

Day-to-day operations management in hospital units is difficult due to continuously varying situations, several actors involved and a vast number of information systems in use. The aim of this study was to describe front-line physicians' satisfaction with existing information systems needed to support the day-to-day operations management in hospitals. A cross-sectional survey was used and data chosen with stratified random sampling were collected in nine hospitals. Data were analyzed with descriptive and inferential statistical methods. The response rate was 65 % (n = 111). The physicians reported that information systems support their decision making to some extent, but they do not improve access to information nor are they tailored for physicians. The respondents also reported that they need to use several information systems to support decision making and that they would prefer one information system to access important information. Improved information access would better support physicians' decision making and has the potential to improve the quality of decisions and speed up the decision making process.Peer reviewe

Combining SOA and BPM Technologies for Cross-System Process Automation

This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges arising from the transformation

Letters from the War of Ecosystems – An Analysis of Independent Software Vendors in Mobile Application Marketplaces

The recent emergence of a new generation of mobile application marketplaces has changed the business in the mobile ecosystems. The marketplaces have gathered over a million applications by hundreds of thousands of application developers and publishers. Thus, software ecosystems&mdash;consisting of developers, consumers and the orchestrator&mdash;have emerged as a part of the mobile ecosystem.&nbsp; This dissertation addresses the new challenges faced by mobile application developers in the new ecosystems through empirical methods. By using the theories of two-sided markets and business ecosystems as the basis, the thesis assesses monetization and value creation in the market as well as the impact of electronic Word-of-Mouth (eWOM) and developer multihoming&mdash; i. e. contributing for more than one platform&mdash;in the ecosystems. The data for the study was collected with web crawling from the three biggest marketplaces: Apple App Store, Google Play and Windows Phone Store.&nbsp; The dissertation consists of six individual articles. The results of the studies show a gap in monetization among the studied applications, while a majority of applications are produced by small or micro-enterprises. The study finds only weak support for the impact of eWOM on the sales of an application in the studied ecosystem. Finally, the study reveals a clear difference in the multi-homing rates between the top application developers and the rest. This has, as discussed in the thesis, an impact on the future market analyses&mdash;it seems that the smart device market can sustain several parallel application marketplaces. - - - - - Muutama vuosi sitten julkistetut uuden sukupolven mobiilisovellusten kauppapaikat ovat muuttaneet mobiiliekosysteemien liiketoimintadynamiikkaa. N&auml;m&auml; uudet markkinapaikat ovat jo onnistuneet houkuttelemaan yli miljoona sovellusta sadoilta tuhansilta ohjelmistokehitt&auml;jilt&auml;. N&auml;m&auml; kehitt&auml;j&auml;t yhdess&auml; markkinapaikan organisoijan sek&auml; loppuk&auml;ytt&auml;jien kanssa ovat muodostaneet ohjelmistoekosysteemin osaksi laajempaa mobiiliekosysteemi&auml;.&nbsp; T&auml;ss&auml; v&auml;it&ouml;skirjassa tarkastellaan mobiilisovellusten kehitt&auml;jien uudenlaisilla kauppapaikoilla kohtaamia haasteita empiiristen tutkimusmenetelmien kautta. V&auml;it&ouml;skirjassa arvioidaan sovellusten monetisaatiota ja arvonluontia sek&auml; verkon asiakasarviointien (engl. electronicWord-of-Mouth, eWOM) ja kehitt&auml;jien moniliittymisen (engl. multi-homing) &mdash; kehitt&auml;j&auml; on sitoutunut useammalle kuin yhdelle ekosysteemille &mdash; vaikutuksia ekosysteemiss&auml;. Ty&ouml;n teoreettinen tausta rakentuu kaksipuolisten markkinapaikkojen ja liiketoimintaekosysteemien p&auml;&auml;lle. Tutkimuksen aineisto on ker&auml;tty kolmelta suurimmalta mobiilisovellusmarkkinapaikalta: Apple App Storesta, Google Playst&auml; ja Windows Phone Storesta.&nbsp; T&auml;m&auml; artikkeliv&auml;it&ouml;skirja koostuu kuudesta itsen&auml;isest&auml; tutkimusk&auml;sikirjoituksesta. Artikkelien tulokset osoittavat puutteita monetisaatiossa tutkittujen sovellusten joukossa. Merkitt&auml;v&auml; osa tarkastelluista sovelluksista on pienten yritysten tai yksitt&auml;isten kehitt&auml;jien julkaisemia. Tutkimuksessa l&ouml;ydettiin vain heikkoa tukea eWOM:in positiiviselle vaikutukselle sovellusten myyntim&auml;&auml;riss&auml;. Ty&ouml;ss&auml; my&ouml;s osoitetaan merkitt&auml;v&auml; ero menestyneimpien sovelluskehitt&auml;jien sek&auml; muiden kehitt&auml;jien moniliittymisk&auml;ytt&auml;ytymisen v&auml;lill&auml;. T&auml;ll&auml; havainnolla on merkityst&auml; tuleville markkina-analyyseille ja sen vaikutuksia on k&auml;sitelty ty&ouml;ss&auml;. Tulokset esimerkiksi viittaavat siihen, ett&auml; markkinat pystyisiv&auml;t yll&auml;pit&auml;m&auml;&auml;n useita kilpailevia kauppapaikkoja.</p

Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Technische Universität Ilmenau, 09. - 11. März 2016; Band III

Übersicht der Teilkonferenzen Band III • Service Systems Engineering • Sicherheit, Compliance und Verfügbarkeit von Geschäftsprozessen • Smart Services: Kundeninduzierte Kombination komplexer Dienstleistungen • Strategisches IT-Management • Student Track • Telekommunikations- und Internetwirtschaft • Unternehmenssoftware – quo vadis? • Von der Digitalen Fabrik zu Industrie 4.0 – Methoden und Werkzeuge für die Planung und Steuerung von intelligenten Produktions- und Logistiksystemen • Wissensmanagemen