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This paper is grounded in the emerging field of web science and shall contribute to its further classification and demarcation by illustrating the current state of »web-native research methods«. It builds upon an initial arraying work of Richard Rogers, who coined the term »Digital Methods« for research with methods that were »born« in the web, and illustrated and organized them in his eponymous book in 2013. This paper attempts to develop a more appropriate illustration of the Digital Methods by following the web’s very own, hypertextual, network-like nature, in particular by construing an ontological representation on the base of the Web Ontology Language (OWL). By virtue of decomposing the book into granular information units and their subsequent reassembly into OWL entities, immediate access to the entire knowledge domain can be provided, and coherencies, interrelations and distinctions between concepts become apparent. The ontology’s structure was induced narrowly along the provided examples of research projects and subsequently clustered in topic groups, of which the three most important ones were (a) the Digital Methods as an arraying space of web-native methodology, (b) a collection of concrete applications of these Digital Methods in research projects, and (c) a hierarchical scheme of traditional sciences with a distinct interest in answering research questions with help of Digital Methods. Subsequently, the ontology was evaluated in three general dimensions: Deriving user stories and scenarios provided means to validate the utilization quality; the accuracy and reliability of the resulting structure was validated with help of a control group of web-native research projects; and process control instruments served as a validator for the ontology’s correctness. Despite the ontology itself, this paper also resulted in a first interpretation of the produced information: Statements about research practise in social science, politics and philosophy were as possible as findings about commonly applied varieties of methods. Concluding, the present paper proposes a process of ontology engineering, an evaluation of the ontology’s value, and an interpretation of the ontology’s content.
The amount of data produced and stored in multiple types of distributed data sources is growing steadily. A crucial factor that determines whether data can be analyzed efficiently is the use of adequate visualizations. Almost simultaneously with the ongoing availability of data numerous types of visualization techniques have emerged. Since ordinary business intelligence users typically lack expert visualization knowledge, the selection and creation of visualizations can be a very time- and knowledge-consuming task. To encounter these problems an architecture that aims at supporting ordinary BI users in the selection of adequate visualizations is developed in this thesis. The basic idea is to automatically provide visualization recommendations based on the concrete BI scenario and formalized visualization knowledge. Ontologies that formalize all relevant knowledge play an important role in the developed architecture and are the key to make the knowledge machine-processable.
This thesis focuses on the identification of influential users, also known as key opinion leaders, within the social network Instagram. Instagram is a very popular platform to share images with the option to categorise the images by certain tags. It is possible to collect public data from Instagram via the open API of the platform.
This thesis presents a concept to create an automated crawler for this API and col- lect data into a database in order to apply algorithms from graph theory to identify opinion leaders afterwards. The sample topic for this thesis has been veganfood and all associated posts from Instagram have been crawled.
After the user data has been crawled a graph has been created to do further research with common social network analysis tools. The graph contained a total set of more than 26,000 nodes.
To identify opinion leaders from this graph, five di↵erent metrics have been applied, in particular PageRank, Betweenness centrality, Closeness Centrality, Degree and Eigen- vector centrality. After applying the di↵erent algorithms the results have been eval- uated and additionally an marketing expert with focus on social media analysed the results.
This project was able to figured out that it is possible to find opinion leaders by using the PageRank algorithm and that those opinion leaders have a very good value of en- gagement. This indicates that they show a high interaction with other users on their posts. In conclusion the additional research options are discussed to provide a future outlook.
The topic for the thesis originated from the CAP4ACCESS project run by the European Commission and its partners, which deals towards the sensiti-zation of people and development of tools for awareness about people with movement disabilities. The explorative analysis is never ending and to explore and find interest-ing patterns and the results is a tedious task. Therefore, a scientific approach was very important. To start with, familiarizing the domain and the data sources were done. Thereafter, selection of methodology for data analysis was done which resulted in the use of CRISP-DM methodology. The data sources are the source of blood to the analysis methodology, and as there were two sources of data that is MICROM and OSM Wheelchair History(OWH), it was important to integrate them together to extract relevant datasets. Therefore a functional and technically impure data warehouse was created, from which the datasets are extracted and analysed.The next task was to select appropriate tools for analysis. This task was very important as the data set although was not big data but con-tained a large number of rows. After careful analysis, Apache spark and its machine learning library were utilized for building and testing supervised models. DataFrame API for Python, Pandas, the machine learning library Sci-kit learn provided unsupervised algorithms for analysis, the association rule analysis was performed using WEKA. Tableau[21] and Matplotlib[24] provide attractive visualizations for representation and analysis.
When it comes to web applications and their dynamic content, one seemingly common trouble area is that of layouts. Frequently, web designers resort to frameworks or JavaScript-based solutions to achieve various layouts where the capabilities of Cascading Style Sheets (CSS) fall short. Although the World Wide Web Consortium (W3C) is attempting to address the demand for more robust and concise layout solutions to handle dynamic content with the recent and upcoming specifications, a generic approach to creating layouts using constraint syntax has been proposed and implementations have been created. Yet, the introduction of constraint syntax would change the CSS paradigm in a fundamental way, demanding further analysis to determine the viability of its inclusion in core web standards. This thesis focuses on one particular aspect of the introduction of constraint syntax: how intuitive constraint syntax will be for designers. To this end, an experiment is performed involving participants thinking aloud while reading code snippets. Also, cursor movements are recorded as a proxy for eye movement over the code snippets. The results indicate that, upon first-impression, constraint syntax within CSS is not intuitive for designers.
Due to the present developments of the Internet and its technical components, the skills of the web experts have to be more and more complex and specific. The Internet experts in the creative field are located distributedly around the whole world. As a result, many companies have problems to find the needed experts on site and are dependent on creative cooperations and virtual teams with the help of technical tools. The virtual working place is an important issue, particularly in modern times and the market offers more and more cooperation systems for exactly this purpose: Creative cooperation in distributed working situations. This thesis examines the approaches of creative cooperation and cooperation technologies with an analysis about existing cooperation systems with a creative context. It spans a wide range of tools. On the one hand, there are approaches which offer only straightforward solutions for single design tasks. On the other hand, there are providers which recognised the great need of creative cooperation systems and working at full speed to extend their systems. The examined areas of this work lead to a design process oriented approach with flexible frames and enough space for the creative development of every single user. The cooperation in a creative context stays in the foreground and is the base for future approaches for the web design sector.
There is a dramatic shift in credit card fraud from the offline to the online world. Large online retailers have tried to establish countermeasures and transaction data analysis technologies to lower the rate of fraudulent transactions to a manageable amount. But as retailers will always have to make a trade-off between the performance of the transaction processing, the usability of the web shop, and the overall security of it, one can assume that e-commerce fraud will still happen in the future. Thus, retailers have to collaborate with relevant business partners on the incident to find a common ground and take coordinated (legal) actions against it.
Trying to combine the information from different stakeholders will face issues due to different wordings and data formats, competing incentives of the stakeholders to participate on information sharing, as well as possible sharing restrictions that prevent them from making the information available to a larger audience. Moreover, as some of the information might be confidential or business-critical to at least one of the parties involved, a centralized system (e.g. a service in the public cloud) can not be used.
This Master Thesis is therefore analysing how far a computer supported collaborative work system based on peer-to-peer communication and Semantic Web technologies can improve the efficiency and effectivity of e-commerce fraud investigations within an inter-institutional team.
Ghana’s timber industries have traditionally focussed on certifying international demand (exports) to the detriment of domestic wood consumption. The legal wood supply to the domestic market has become insufficient to satisfy the growing needs of the local population. This research aims at gaining greater insight into the sources of wood supply to Ghana’s domestic wood markets focusing on the contribution of legal wood by the mainstream timber companies.
The study used random and purposive sampling techniques for selecting the respondents in the domestic wood market, wood producers as well as consumers. Additionally, the views of the respondents were sought through well semi-structured questionnaires. On the other hand, views from key informants, mostly experts, and regulators in Ghana’s wood industry were solicited through interviews.
The result indicates that the formal timber processors supply 73% of their processed lumber to the export market and 27% to the domestic market. The destination of the 27% is both the domestic market and other lumber demanded sectors especially large scale construction and furniture companies. The carving industry on other hand obtains wood directly from the farmers and not necessary from the domestic wood market. At the domestic timber market, dealers receive lumber supply from both formal (16. 7%) and informal (83.3%) sources.
The domestic wood sector provides livelihood support to both wood dealers, consumers as well as artisans. About 70% of respondents (wood dealers) used in the survey have no other source of livelihood for existence except wood business.
Owing to the immense contribution of the domestic wood market to the country’s economy and developmental agenda, a calls for policy review especially 20% supply of formal processed lumber to the domestic market is timely. Additionally, looking at the various interventions to curtail illegal chain saw and the continued market demand, the study believes more regulated measures will better help the nation to grasped huge revenue lost as a result of illegalities to embark on vigorous afforestation programs to sustain the domestic wood market.
Jordan is deemed as one of the least water-endowed regions in the world. The acute water shortage, accompanied with changing climatic conditions have necessitated the increasing use of treated wastewater (TWW), predominantly in irrigated agriculture sector. This is especially true with the upper Zarqa River. The ample supply of TWW resources can be found there; paradoxically, the practical implementation of TWW reuse is hindered by the enforcement of irrigation water quality standard, compounding pressure on the dwindling groundwater resources. In light of the large potential source of TWW, this study aims to supply knowledge on maximizing the safe reuse of TWW while minimizing the environmental impacts within the local environment of the upper Zarqa River. A SWOT analysis was conducted to identify the strengths, weaknesses, opportunities, and threats of TWW reuse for agriculture in the local context. In recognition of the projected growth in the treated effluent to more than 135 MCM in the coming ten years, and how it would affect the water use on the study region, several plausible development scenarios were proposed based on expected developments on the ground. Considering the vital role of TWW in sustaining multiple ecosystem services, this study addresses the need to review current standard, encourages managed aquifer recharge with TWW, recommends crops type modification, and enhances knowledge on suitable practices at farm level. Each of these factors is needed in order to deliver a range of ecosystem services to sustain the local rural communities and to advance them in the face of profound challenges, thereby leading to its stability and increased productivity.
Amboseli-Tsavo Ecosystem is a unique landscape in Kenya’s semi-arid rangelands to the border of Tanzania. It is characterized by high abundances of wildlife which frequently disperses between three National Parks, namely Amboseli, Tsavo West and Chyulu Hills. Due to an increased population and a land-use change from prior nomadic pastoralism to sedentary farming activities, the land became highly fragmented and transformed into a human-dominated area. Increasingly wildlife migration routes are becoming blocked, leading to isolation of the National Parks and multiplied human-wildlife conflicts. The African elephant (Loxodonta africana) is sadly famous as the most common conflict animal causing damage to properties, cropland and injuring or killing livestock and, in the worst case, people. However, elephants are at the same time a flagship species and represent the backbone for tourism activities around Amboseli. Therefore, the elephant is both a very valuable and problematic asset in the area. Unfortunately, wildlife conservation practices over the last decades, favoring animals over humans, have led to a negative perception of wildlife among the population in the ecosystem which challenges appropriate conservation mechanisms.
To maintain the tourism attraction of viewing elephants and to minimise the conflicts between local communities and animals, migration routes should remain open. The concept of landscape connectivity ensures biodiversity conservation, particularly for far-distance migration animals such as elephants. The elephant was therefore chosen as a keystone species in this study on which the analysis is based.
Using a least-cost path analysis (LCP) in ArcGIS, “cheapest” travel routes of Loxodonta africana between the three National Parks were identified. Factors included were selected and weighted by information gathered in expert interviews. Satellite imagery were classified using ESA SNAP toolbox to obtain vegetation covers and waterbodies for two different seasons (dry and wet), aiming to illustrate the temporal variability of potential connectivity paths. Additionally, key informant interviews and interviews of Group Ranch members around Amboseli National Park were conducted to gather information regarding the current state of management in the ecosystem and perceptions about wildlife management. A subsequent SWOT Analysis on three optimum routes obtained through LCP, takes the social-political factors and information obtained into account to discuss the different options for their conflict solving potential.
On the one hand, recommendations resulting from this study identify possible elephant migration routes that should be maintained by using a participatory conservation approach to secure landscape connectivity in long-term. On the other hand, management recommendations include a design for improved relationships between Group Ranch members and the responsible governmental institutions by equally distributing benefits, implementing financial benefits and establishing a functioning and adequate compensation scheme. By ensuring peoples’ active participation in conservation and wildlife management, a more positive attitude towards wildlife might be induced, which will positively influence the wildlife conflict in long run.
Researchers are always looking for innovative ways to collect the environmental data and ease the process of data collection on the field. Advancement in sensor technologies and drones has led to easy technological access to design custom solutions even with basic electronics and technical knowledge. This paper documents, construction and working of “ITT Smart Sense”, which is a low power, easy to use and cost effective environment monitoring system using wireless sensor network that runs autonomously on battery power for an extended period of time. Along with that, a UAV based platform, titled “ITT Smart Sense Fly”, focused on environmental monitoring and scientific research and is tailored to the needs of researchers has been proposed in this paper. This platform is comprised of an autonomous unmanned aerial vehicle (UAV)/Drone with a camera sensor, an autopilot mobile app for mission planning and other required Photogrammetry tools. The drone navigates over the area of interest based on a pre-programmed flight plan and captures a series of photographs using the on-board camera. The collected image data set is processed to create orthomosaics, high resolution maps and 3D point cloud. The proposed solutions were demonstrated with three distinct case studies.
Located in the Urubamba mountain range, the Chicón glacier is the third highest tropical glacier of this area and the source of water for the Chicón watershed. Moreover, from this watershed four communities obtain water for human consumption and agriculture, which is their main economic activity. In the last years glacier retreat is evident in the area and threatens the livelihoods of the people because it affects the availability of fresh water.
The general objective of this research is to analyse the perception of people living in this watershed to climate change, disaster risk, and ecosystem-based solutions. The specific objectives are to identify natural hazards and climate change effects in the community, to recognise potential ecosystem services suitable for Ecosystem-based Adaptation (EbA) and Ecosystem-based Disaster Risk Reduction (Eco-DRR), and to assess to which climate change effects and disasters the communities are vulnerable based on their own perception. The methodological steps are based on literature review, expert interviews, questionnaires to the community, a workshop and field observations.
The results show that people perceive changes in the climate such as increase in temperature, less precipitation and shifts of the rainy and the dry season. The climate-related disasters that were identified are Glacier Lake Outburst Flood (GLOF), droughts, frosts and hailstorms. However, GLOFs are not frequent in the area and drought is the hazard that people consider will be more frequent. Additionally, pests were identified as biological hazards. Several ecosystems services can be obtained for EbA and Eco-DRR from forests, especially if native trees such as Qiwiña (Polylepis spp.), Chachacoma (Escallonia resinosa) and Aliso (Alnus jorullensis) are used in ecosystem management. Finally, the hypothesis was partially accepted since people in the study area are to some extent aware of climate change impacts, but only partially understand causes and effects. Further, they recognize most of the ecosystem services that forests provide. Therefore they are starting to implement ecosystem-based solutions in the watershed with the support of external institutions.
This thesis presents the perspective and basis for modeling of retail electricity price components in Germany. Detailed Python models are developed to provide predictions for yearly development of average network charges, EEG, StromNEV-19 and KWK surcharges for the period 2015-2035. For network charges and EEG surcharge, scenario-B (2035) from NEP2015 has been chosen as the model scenario. For KWK surcharge, the 2025 KWK share target, set by KWKG-2016, has been chosen as the model scenario. Individual component model results are validated against available academic literature and institutional reports. Model results for EEG surcharge, indicate an increasing yearly EEG costs till 2024, after which the expiring EEG plants of past will unburden the related high costs and EEG surcharge will drop but still be around 99% of 2015 level in 2035. Model results for network charges indicate a consistently increasing yearly trend owing to high grid investments needed for reaching the target RE share of 57%. KWK model results also indicate a growing KWK surcharge until 2020 which then would remain stagnant at that level onwards. All model results are collected under three consumption categories, namely, households, privileged and nonprivileged industries. The final results indicate that the average German household will face an overall increase of around 3.37 Cents/kWh in retail electricity prices (excluding VAT) till 2028, after which the retail prices will drop a little due to dropping EEG surcharge. The similar but slightly reduced trend can be seen for nonprivileged industrial consumption. The increment effect, however, is only minute for privileged industrial consumption due to high exemptions in EEG & KWK surcharges and reduced individual network charges.
This thesis is aimed for finding a solution for non-gaming application of Virtual Reality technology in data visualization and analysis. Starting by reconstructing the concept of Virtual Reality, the paper then describes the principles, concepts and techniques of designing a Virtual Reality application. In the last part of the thesis, a detailed description of how a prototype implemented is presented to provide a preview of how data visualization and analysis and Virtual Reality technology can be combined together in order to enable users to perceive and comprehend data in a possibly better way.
For sustainable climate, an exponential growth in renewable heating and cooling is compulsory to reduce consumption of the fossil fuels for production of heat. An essential step from European Commission as an introduction of the strategy for renewable heat has
given a platform to the solar thermal market to tap the highest possible potential. To grab the opportunity given, capacity of the production is to be increased as well as reduction in cost of solar thermal product is to be achieved by any suitable alternate means. Polymer
based hybrid collector, named as OPVT collector, is the innovation from Fraunhofer Institute of Solar Energy Systems to break the road blocks for the solar thermal market. A polymer solar cell and a polymer solar thermal collector, both, technologies have tendency
of high initial investments and extremely low running cost in business. The aims of this study were to develop a calculation tool for determination of production cost of different OPVT collector concepts and evaluate their potential with reference to market size. The tool was expected to be uniform for all possible concepts of OPVT collector and flexible in
usage during the early stage of technological development. In this study, “Microsoft Excel” software based calculation tool is developed for estimation of production cost for different concepts. A Car washing station for water based OPVT collector and a bus station for air based OPVT collector are found be most suitable for start-up of the business. The analysis of results has highlighted that the minimum cost of OPVT collector can be referenced as its material cost. The OPVT collector business has huge potential and
possibility of early break-even point in the
production. As production costs are sensitive to
material costs, input values to the tool must be accurate. Presence of dominance of the material cost
is due to high cost of OPV. In industry, OPV is still being considered as the technological product instead the commodity product. This market potential study for
OPVT collector technology has been the important step in giving the confidence to solar thermal, polymer and plastic processing industries for business investment.
Keywords – OPVT collector, production cost, calculation tool, market size
In Sierra Leone, at the moment 10 out of the total 14 districts are faced with the problem of large-scale land investments for industrial agriculture (oil palm, sugarcane…). The production is mainly for the local, regional and world market. There are quite many of these investments in the planning stage, while some are extending their operations by taking more land from communities or are already at the production stage. Studies and media reports have claimed a number of negative impacts felt in communities hosting these companies, ranging from loss of land, food insecurity, increase in poverty to loss of livelihoods, environmental degradation as well as social and cultural problems. The goal of this thesis is to examine the impacts of the operations of “Socfin Agriculture Company” on food security of local communities in Malen Chiefdom, Pujehun District of Sierra Leone.
Both quantitative and qualitative research methods are used for data collection, analyses, and interpretation of results. The research uses household income and expenditure to compare household food security before and after the start of the company’s operations. It examines consequences of community’s loss of land to support household food production versus casual wage earn from employment created by the company to meet household food security.
The results show a loss of household’s income sources and a significant decrease in households’ income. Households’ food crop production has reduced accompanied by a complete loss of cash crop farming. Households affected by the operations of the company have lost access to land and other natural resources that support food production. Furthermore, the company employs very few people in comparison to the total population of affected communities. Calculation of total wage earn from employment by the company cannot meet the staple food (rice) needs of the households. Also, households claimed a host of unfilled promises made by the company and national government at the onset of the operations of the company.
In conclusion, household food production is the most significant determinant for household food security, with regards to food availability, accessibility, utilization and stability of supply. Therefore, national government should carefully study and develop a framework that addresses food security of households impacted by the operations of the rapidly growing large-scale land investment companies and ensure a fair share of the local community in the economic development of the country and suggesting ways of improving access rights in the context of tenure.
Carbon Sequestration under different land uses and soils in the State of Quintana Roo, Mexico
(2017)
Rising in global temperature is evidently related to atmospheric carbon dioxide (CO2) and methane (CH4) concentrations; this has become an environmental problem. The use of renewable energy, the development of eco-friendly merchandise and the enforcement of biomass management have been proposed to mitigate the issue. In the ecosphere, the pedosphere stores 1,500 to 2,500 PgC, which is four times more than the carbon stored in biomass; hence, it is very important to carry out soil carbon studies because of more long-term stability of such storage. In the study, soil carbon quantification was applied to the entire state of Quintana Roo, using a purpose oriented sampling, to observe the dynamic between land uses and soils, relating all relevant characteristics and properties of the landscape. To study the carbon content stored in soils, total carbon was estimated through loss-on-ignition, organic carbon by Walkley-Black method and inorganic carbon by calcium carbonate determination. The result portrays that the coastal dune vegetation-Arenosol (1,256 Mg C ha-1) is the combination with the highest soil carbon density, while Leptosol is the soil type with the highest storage capacity (852 MtC). Consequently, the soil carbon storage not only relates to soil properties but also associates with the surface area occupied by the specific soil type. In addition, the characteristics of the landscape play an important role in the storage of soil carbon. Due to that, soil carbon storage can be explained by biogeomorphoedaphic factors.