The Future of Millennial Jobs

The Future of Millennial Jobs explores the future of the labor force for Millennials and how higher education can better align with future job market demands. The report concludes that many young adults, ages 18 to 34 years-old, are uniquely prepared for jobs of the future with the knowledge and skills needed to effectively navigate workforce opportunities, yet points to reasons for concern, too: a growing number of Millennials, lacking access to technology and other resources, will be left behind

Android Chat Application Forensic Process Improvement and XRY Support

Tänapäeval seisab maailma silmitsi kiire mobiilseadmete arenguganing see nõuab digimaailmas kohtuekspertiisi valdkonda. Eriti on see seotudmobiiltelefonide ja kaasaskantavate seadmetega, millel on erinevad platvormid javiisid andmete salvestamiseks. See nõuab konkreetseid teadmisi, kuidas neid andmeideraldada ja töödelda. Andmete eraldamine, analüüsimine ja esitamine inimeseleloetaval kujul on kolm põhilist väljakutset, millega ekspertiisitöötajad puutuvadkokku igapäevaselt. Kõigil neist on kogum küsimusi ja takistusi. Teiseks jakolmandaks on osad, mis on esitatud käesoleva väitekirjaga. Isegi kui valdkonnason kogum äratuntavat (spetsialistide poolt) tarkvara, ei toeta need alati hilisemaidandmete formaate ja seetõttu ei saa pakkuda igal ajal inimestele loetavat varianti.Probleemide lahendamiseks on loodud ekspertide teenus, selle vestluserakenduseanalüüs on tehtud nii käsitsi kui ka automaatselt.Selle töö peamine tulemus lubab mitte vaid otsingut toestada, vaid kirjutadamooduleid ka Python'is, mis kitsendab otsingut ning iga moodul mõistab vajaduselesitatud failiformaati. Tulemused näitavad automaatotsingu ja -eraldamisehäid ja halbu külgi ning võrdlevad analüüsitulemusi manuaalse lähenemisega (kuieksperdid analüüsivad faile käsitsi). Kommertsvahendit XRY toetab hulk vestlusrakendusi,mida võrreldakse peamise tulemuste tabeliga. Vähesel hulgal analüüsitakseavatud lähtekoodiga tarkvara (nende andmebaasi skeemi läbi erinevate versioonide),näitamaks et vestlusrakenduse andmete salvestamise vorm võib muutuda,mis vajaks kommertstarkvara uuendusi või käsitsi kogu andmete lugemist jatöötlemist.Võtmesõnad: digitaalne kohtuekspertiis, android, suhtlemistarkvara, sqlite andmebaas,andmete analüüsCERCS: P170, Arvutiteadus, arvutusmeetodid, süsteemid, juhtimine (automaatjuhtimisteooria)Nowadays world faces rapid mobile devices development and so requires forensic Field in digital world. This is especially related to mobile phones and wearable devices, with various platforms and different ways of storing data. Thisrequires certain knowledge on how to extract and process that data. Extracting,analyzing and presenting data in human readable way are three challenges, thateach forensic specialist face in the working Field. Each one of listed, have a set ofissues and obstacles. Second and third are the parts, which are presented in thisthesis. Even if there is a set of recognizable (by specialists) software in the Field, itis not always support the latest data formats and therefore cannot provide humanreadable variant all the time. To solve a set of problems a forensic utility has beencreated, both manual and automated analysis of chat application data has been done.Main result in this work allows not only to perform a search, but to write amodules in Python, which can make search narrower and each of modules canunderstand particular file format, if needed. Result shows, good and bad sides ofautomated way of searching and extracting results and compare analysis resultswith manual approach (as when forensic specialist do analyze files manually). Acommercial tool - XRY, have a list of supported chat applications, which will becompared to the main results table. Few open source applications code will be analyzed(their database schema throughout different versions), to show, that chatapplication data storage format might change, which would require commercialsoftware update or manually read and process all data.Keywords: computer forensics, android, chat application, sqlite database, dataanalysisCERCS: P170, Computer science, numerical analysis, systems, contro

New trends in data mining.

Trends; Data; Data mining;

Open Source Development in a Differentiated Duopoly

Open source software is released under an open source license giving individuals the right to use, modify, and redistribute freely the programs. This paper proposes a model of differentiated duopoly in which firms invest in the development of proprietary or open source software. The main findings are: (i) firms invest more when the products are substitutes; (ii) for substitute products, firms’ investment in software development is greatest when the software is open source; (iii) for close to perfect complements, firms’ investment in software development is greatest when the software is proprietary; and (iv) for substitute products, investment in open source software yields higher profits than investment in proprietary software.

Web services approach for ambient assisted living in mobile environments

Web services appeared as a promising technology for Web environments independent of technologies, services, and applications. First, a performance comparison study between the two most used Web service architectures, SOAP and REST, is presented, considering messages exchange between clients and a server. Based on this study, the REST architecture was chosen to deploy the system because it gets better results compared to SOAP architecture. Currently, there are some issues related with this approach that should be studied. For instance, if massive quantities of data are sent to databases it can influence significantly the performance of the whole system. The Advanced Message Queuing Protocol (AMPQ) appears as a promising solution to address this problem. Then, in order to evaluate the performance of this approach, this work presents a performance evaluation and a comparison study of RESTful Web services and the AMQP Protocol considering exchanging messages between clients and a server. The study is based on the averaged exchanged messages for a certain period of time. It was observed and concluded that, for large quantities of messages exchange, the best results comes from the Advanced Message Queuing Protocol. Message Queuing Telemetry Transport (MQTT) was addressed in this work because it is a similar protocol to AMQP but it can be used by mobile devices with a processing capacity smallest unlike the AMQP that needs greater processing capacity. These studies are performed in the context of Ambient Assisted Living environments, since the work was applied to this topic in order to experiment the effectiveness and evaluate the performance of these protocols in this scenario

Intelligent Management and Efficient Operation of Big Data

This chapter details how Big Data can be used and implemented in networking and computing infrastructures. Specifically, it addresses three main aspects: the timely extraction of relevant knowledge from heterogeneous, and very often unstructured large data sources, the enhancement on the performance of processing and networking (cloud) infrastructures that are the most important foundational pillars of Big Data applications or services, and novel ways to efficiently manage network infrastructures with high-level composed policies for supporting the transmission of large amounts of data with distinct requisites (video vs. non-video). A case study involving an intelligent management solution to route data traffic with diverse requirements in a wide area Internet Exchange Point is presented, discussed in the context of Big Data, and evaluated.Comment: In book Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, IGI Global, 201

Toward a Unified Description of Battery Data

Battery research initiatives and giga-scale production generate an abundance of diverse data spanning myriad fields of science and engineering. Modern battery development is driven by the confluence of traditional domains of natural science with emerging fields like artificial intelligence and the vast engineering and logistical knowledge needed to sustain the global reach of battery Gigafactories. Despite the unprecedented volume of dedicated research targeting affordable, high-performance, and sustainable battery designs, these endeavours are held back by the lack of common battery data and vocabulary standards, as well as, machine readable tools to support interoperability. An ontology is a data model that represents domain knowledge as a map of concepts and the relations between them. A battery ontology offers an effective means to unify battery-related activities across different fields, accelerate the flow of knowledge in both human- and machine-readable formats, and support the integration of artificial intelligence in battery development. Furthermore, a logically consistent and expansive ontology is essential to support battery digitalization and standardization efforts, such as, the battery passport. This review summarizes the current state of ontology development, the needs for an ontology in the battery field, and current activities to meet this need.publishedVersio