Filtern
Erscheinungsjahr
- 2019 (45) (entfernen)
Dokumenttyp
- Masterarbeit (20)
- Dissertation (15)
- Bachelorarbeit (8)
- Habilitation (1)
- Ausgabe (Heft) zu einer Zeitschrift (1)
Sprache
- Englisch (45) (entfernen)
Schlagworte
- Internet of Things (2)
- 2019 European Parliament Election (1)
- Agrarlandschaft (1)
- Association Rules (1)
- BPM (1)
- Belief change, concept contraction, EL (1)
- Biodiversität (1)
- Business Process Management Recommender Systems Survey (1)
- Business Process Modeling (1)
- Calcium (1)
- Challenges (1)
- Cold Chain (1)
- Densimetric Measurement (1)
- Dichtemessung (1)
- Dredging (1)
- ECSA (1)
- Ebullition (1)
- Effectiveness (1)
- Elektronenmikroskopie (1)
- Empfehlungssystem (1)
- Entity Component System Architecture (1)
- Food Transportation System (1)
- Foodstuff (1)
- Freeze Coring (1)
- GRAF1 (1)
- Gas storage capacity (1)
- Gefrierkernverfahren (1)
- Handsfree editing (1)
- Human resources management (1)
- International organization (1)
- Kryo (1)
- Lake Kinneret (1)
- Maschinelles Lernen (1)
- Minimalschnitt (1)
- Nanoröhren (1)
- Nassbaggerung (1)
- Nützlinge (1)
- OPD-SHRM (1)
- Oligomer (1)
- Parteienkommunikation (1)
- Pestizid (1)
- Political Communication (1)
- Probabilistic finite automata (1)
- Proteinstrukturanalyse (1)
- Recommender System (1)
- Recommender Systems, Business Process Modeling, Literature Review (1)
- Reservoir Sedimentation (1)
- Schädlingskontrolle (1)
- Sediment (1)
- Solutions (1)
- Stauseeverlandung (1)
- Sustainability (1)
- Wahlen zum europäischen Parlament (EU-Wahlen) (1)
- Weinbau (1)
- agriculture (1)
- beneficial insects (1)
- biocide (1)
- biodiversity (1)
- chironomids (1)
- decision support tool (1)
- ecotoxicity (1)
- environmental risk assessment (1)
- evolution (1)
- fungus resistant grapevine (1)
- groundwater remediation (1)
- leap motion (1)
- long-living systems (1)
- machine learning (1)
- minimal pruning (1)
- model-based (1)
- mosquito control (1)
- non-target effects (1)
- pelzresistente Rebsorten (1)
- periphyton (1)
- pest control (1)
- pesticide (1)
- punishment goals (1)
- regulation (1)
- risk assessment (1)
- security (1)
- software engineering (1)
- student misbehavior (1)
- tracking (1)
- uptake (1)
- virtual reality (1)
- viticulture (1)
Institut
- Institut für Management (8)
- Institut für Wirtschafts- und Verwaltungsinformatik (8)
- Institut für Computervisualistik (7)
- Institute for Web Science and Technologies (7)
- Fachbereich 7 (4)
- Fachbereich 8 (2)
- Institut für Integrierte Naturwissenschaften, Abt. Biologie (2)
- Institut für Softwaretechnik (2)
- Institut für Umweltwissenschaften (2)
- Fachbereich 4 (1)
Das Ziel dieser Masterarbeit war es ein CRM System für das Assist Team der CompuGroup Medical zu entwickeln, welches Open Innovation in die Entwicklung der Minerva 2.0 Software integriert. Um dies zu erreichen wurden CRM Methoden mit Social Networ- king Systemen kombiniert, basierend auf der Forschung von Lin und Chen (2010, S. 11 – 30). Um die definierten Ziele zu erreichen wurde Literatur analysiert, wie ein CRM System und eine Online Community erfolgreich implementiert werden können und dies auf die Entwicklung der Minerva Community angewendet. Dabei wurde sich an den Design Science Richtlinien von Hevner u. a. (2004, S. 75 – 104) orientiert. Das fertige Produkt wurde basierend auf Kunden- und Managementanforderungen entworfen und wurde an- schließend aus Kunden- und Firmenperspektive evaluiert.
Implementation of Agile Software Development Methodology in a Company – Why? Challenges? Benefits?
(2019)
The software development industry is enhancing day by day. The introduction of agile software development methodologies was a tremendous structural change in companies. Agile transformation provides unlimited opportunities and benefits to the existing and new developing companies. Along with benefits, agile conversion also brings many unseen challenges. New entrants have the advantage of being flexible and cope with the environmental, consumer, and cultural changes, but existing companies are bound to rigid structure.
The goal of this research is to have deep insight into agile software development methodology, agile manifesto, and principles behind the agile manifesto. The prerequisites company must know for agile software development implementation. The benefits a company can achieve by implementing agile software development. Significant challenges that a company can face during agile implementation in a company.
The research objectives of this study help to generate strong motivational research questions. These research questions cover the cultural aspects of company agility, values and principles of agile, benefits, and challenges of agile implementation. The project management triangle will show how benefits of cost, benefits of time, and benefits of quality can be achieved by implementing agile methodologies. Six significant areas have been explored, which shows different challenges a company can face during implementation agile software development methodology. In the end, after the in depth systematic literature review, conclusion is made following some open topics for future work and recommendations on the topic of implementation of agile software development methodology in a company.
The bio-insecticide Bacillus thuringiensis israelensis (Bti) has worldwide become the most commonly used agentin mosquito control programs that pursue two main objectives: the control of vector-borne diseases and the reduction of nuisance, mainly coming frommosquitoes that emerge in large quantities from seasonal wetlands. The Upper Rhine Valley, a biodiversity hotspot in Germany, has been treated withBti for decades to reduce mosquito-borne nuisance and increase human well-being.Although Btiis presumed to be an environmentally safe agent,adverse effects on wetland ecosystems are still a matter of debate especially when it comes to long-term and indirect effects on non-target organisms. In light of the above, this thesis aims at investigating direct and indirect effects of Bti-based mosquito control on non-target organisms within wetland food chains.Effects were examinedin studies with increasingeco(toxico)logical complexity, ranging from laboratory over mesocosm to field approaches with a focus on the non-biting Chironomidae and amphibian larvae (Rana temporaria, Lissotriton sp.).In addition, public acceptance of environmentally less invasive alternative mosquito control methods was evaluated within surveys among the local population.
Chironomids were the most severely affected non-target aquatic invertebrates. Bti substantially reduced larval and adult chironomid abundances and modified their species composition. Repeated exposures to commonly used Bti formulations induced sublethal alterations of enzymatic biomarkers activityin frog tadpoles. Bti-induced reductions of chironomid prey availability indirectly decreased body size of newts at metamorphosis and increased predation on newt larvae in mesocosm experiments. Indirect effects of severe reductions in midge biomassmight equally be passed through aquatic but also terrestrial food chains influencing predators of higher trophic levels. The majority ofaffectedpeople in the Upper Rhine Valley expressed a high willingness to contributefinancially to environmentally less harmful mosquito control.Alternative approaches could still include Bti applications excepting treatment of ecologically valuable areas. Potentially rising mosquito levels could be counteracted with local acting mosquito traps in domestic and urban areas because mosquito presence was experienced as most annoying in the home environment.
As Bti-based mosquito control can adversely affect wetland ecosystems, its large-scale applications, including nature conservation areas, should be considered more carefully to avoid harmful consequences for the environmentat the Upper Rhine Valley.This thesis emphasizesthe importance to reconsiderthe current practice of mosquito control and encourage research on alternative mosquito control concepts that are endorsed by the local population. In the context ofthe ongoing amphibian and insect declinesfurther human-induced effects onwetlands should be avoided to preserve biodiversity in functioning ecosystems.
Most social media platforms allow users to freely express their opinions, feelings, and beliefs. However, in recent years the growing propagation of hate speech, offensive language, racism and sexism on the social media outlets have drawn attention from individuals, companies, and researchers. Today, sexism both online and offline with different forms, including blatant, covert, and subtle lan- guage, is a common phenomenon in society. A notable amount of work has been done over identifying sexist content and computationally detecting sexism which exists online. Although previous efforts have mostly used peoples’ activities on social media platforms such as Twitter as a public and helpful source for collecting data, they neglect the fact that the method of gathering sexist tweets could be biased towards the initial search terms. Moreover, some forms of sexism could be missed since some tweets which contain offensive language could be misclassified as hate speech. Further, in existing hate speech corpora, sexist tweets mostly express hostile sexism, and to some degree, the other forms of sexism which also appear online was disregarded. Besides, the creation of labeled datasets with manual exertion, relying on users to report offensive comments with a tremendous effort by human annotators is not only a costly and time-consuming process, but it also raises the risk of involving discrimination under biased judgment.
This thesis generates a novel sexist and non-sexist dataset which is constructed via "UnSexistifyIt", an online web-based game that incentivizes the players to make minimal modifications to a sexist statement with the goal of turning it into a non-sexist statement and convincing other players that the modified statement is non-sexist. The game applies the methodology of "Game With A Purpose" to generate data as a side-effect of playing the game and also employs the gamification and crowdsourcing techniques to enhance non-game contexts. When voluntary participants play the game, they help to produce non-sexist statements which can reduce the cost of generating new corpus. This work explores how diverse individual beliefs concerning sexism are. Further, the result of this work highlights the impact of various linguistic features and content attributes regarding sexist language detection. Finally, this thesis could help to expand our understanding regarding the syntactic and semantic structure of sexist and non-sexist content and also provides insights to build a probabilistic classifier for single sentences into sexist or non-sexist classes and lastly find a potential ground truth for such a classifier.
This paper describes the robots TIAGo and Lisa used by
team homer@UniKoblenz of the University of Koblenz-Landau, Germany,
for the participation at the RoboCup@Home 2019 in Sydney,
Australia. We ended up first at RoboCup@Home 2019 in the Open Platform
League and won the competition in our league now three times
in a row (four times in total) which makes our team the most successful
in RoboCup@Home. We demonstrated approaches for learning from
demonstration, touch enforcing manipulation and autonomous semantic
exploration in the finals. A special focus is put on novel system components
and the open source contributions of our team. We have released
packages for object recognition, a robot face including speech synthesis,
mapping and navigation, speech recognition interface, gesture recognition
and imitation learning. The packages are available (and new packages
will be released) on http://homer.uni-koblenz.de.