This survey is about recognizing patterns in the way Small and Medium Enterprises (SMEs) organize their procurement activities. The scope of the survey is limited to the key commodities of the SME.A key commodity is defined as the purchased product or service group which is essential for realizing the value proposition for the customers of the SME.Prior outcome of our research indicated the existence of four procurement oriented patterns in SMEs. 4 Procurement Oriented Patterns where part of the study: Pattern 1 Focal company: ICT turn-key designerValue proposition of the focal company: ICT Design and assembly of offices on a high quality level at a reasonable price. Operational excellence: standardization in commodities, low transaction costs internally and externallyPurchased key commodity: Standard ICT software and hardwarePattern 2 Focal company: Horse shoes manufacturerValue proposition of the focal company: Standard horse shoes assortment at reasonable prices in a competitive environmentPurchased key commodity: Standard quality iron, reliable deliveryPattern 3 Focal company: IT innovation driven companyValue proposition of the focal company: Developing innovative software made applicable for practical usage in devices at a reasonable pricePurchased key commodity: Delivering applicable solutions on the bases of regular soft- and hardware, to enable the companies’ innovative software function in practicePattern 4 Focal company: designer and manufacturer of trailersValue proposition of the focal company: Designing and manufacturing trailers tailor made for specific requirements of customersPurchased key commodity: Designing and manufacturing axles which align to the specific trailer wishes of the customer of the focal companyFINDINGS Pattern recognitionAbout 50 % of the respondents recognized the four presented patterns from own experience and/or read literature. Respondents also suggested pattern variants. It is concluded that this Delphi study strengthens the view that these patterns exist in SMEs. Further research may include further empirical testing of these patterns and their variants. Perceived strengths or weaknesses. Respondents mentioned a wide variety of strengths and weaknesses of the patterns. No clear conclusions can be drawn from this data. Adequacy of the pattern descriptions. One of the outcomes of this Delphi study is an improved conceptual framework for describing procurement activity patterns. This framework can be used for collecting SME data in future research, for example by modifying the existing survey questions which are used in the WIM research program to describe SME procurement activities. The improved model includes more variables and values than the initial model. Thus future research may lead to more detailed patterns descriptions. Missing patterns and pattern variantsApart from the suggested pattern variants, respondents do not miss patterns which are quite different from the four patterns suggested by the research team. Methodological remarksThe Delphi study method did not allow for fast feedback on panel member contributions and fast group think processes. For the future it is advised to consider other methods in similar cases, for example the World Cafe method.
Wereldwijd onderzoek: Hoe gebruiken nieuwsmedia social media? Jongeren lezen geen krant meer, ze kijken op hun smartphone die ze altijd bij de hand hebben. Binnen het lectoraat social media en reputatiemanagement van NHL hogeschool te Leeuwarden heeft een groep internationale studenten in 12 landen onderzoek gedaan. Hierbij hebben ze meer dan 150 social media sites bestudeerd van nieuws media. De resultaten maken deel uit van een internationaal onderzoek van NHL Hogeschool en Haaga Helia University. De onderzoeksvraag was: Wat speelt zich af in de nieuwsmedia? Persbureaus kunnen het overzicht gebruiken om hun social media te optimaliseren. En voor ieder die journalistiek een warm hart toedraagt is het interessante informatie over de nieuwsmedia in een overgangssituatie (2nd edition)
Many quality aspects of software systems are addressed in the existing literature on software architecture patterns. But the aspect of system administration seems to be a bit overlooked, even though it is an important aspect too. In this work we present three software architecture patterns that, when applied by software architects, support the work of system administrators: PROVIDE AN ADMINISTRATION API, SINGLE FILE LOCATION, and CENTRALIZED SYSTEM LOGGING. PROVIDE AN ADMINISTRATION API should solve problems encountered when trying to automate administration tasks. The SINGLE FILE LOCATION pattern should help system administrators to find the files of an application in one (hierarchical) place. CENTRALIZED SYSTEM LOGGING is useful to prevent coming up with several logging formats and locations. Abstract provided by the authors. Published in PLoP '13: Proceedings of the 20th Conference on Pattern Languages of Programs ACM.
National forestry Commission (SBB) and National Park De Biesbosch. Subcontractor through NRITNational parks with large flows of visitors have to manage these flows carefully. Methods of data collection and analysis can be of help to support decision making. The case of the Biesbosch National Park is used to find innovative ways to figure flows of yachts, being the most important component of water traffic, and to create a model that allows the estimation of changes in yachting patterns resulting from policy measures. Recent policies oriented at building additional waterways, nature development areas and recreational concentrations in the park to manage the demands of recreation and nature conservation offer a good opportunity to apply this model. With a geographical information system (GIS), data obtained from aerial photographs and satellite images can be analyzed. The method of space syntax is used to determine and visualize characteristics of the network of leisure routes in the park and to evaluate impacts resulting from expected changes in the network that accompany the restructuring of waterways.
The focus of the research is 'Automated Analysis of Human Performance Data'. The three interconnected main components are (i)Human Performance (ii) Monitoring Human Performance and (iii) Automated Data Analysis . Human Performance is both the process and result of the person interacting with context to engage in tasks, whereas the performance range is determined by the interaction between the person and the context. Cheap and reliable wearable sensors allow for gathering large amounts of data, which is very useful for understanding, and possibly predicting, the performance of the user. Given the amount of data generated by such sensors, manual analysis becomes infeasible; tools should be devised for performing automated analysis looking for patterns, features, and anomalies. Such tools can help transform wearable sensors into reliable high resolution devices and help experts analyse wearable sensor data in the context of human performance, and use it for diagnosis and intervention purposes. Shyr and Spisic describe Automated Data Analysis as follows: Automated data analysis provides a systematic process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, suggesting conclusions and supporting decision making for further analysis. Their philosophy is to do the tedious part of the work automatically, and allow experts to focus on performing their research and applying their domain knowledge. However, automated data analysis means that the system has to teach itself to interpret interim results and do iterations. Knuth stated: Science is knowledge which we understand so well that we can teach it to a computer; and if we don't fully understand something, it is an art to deal with it.[Knuth, 1974]. The knowledge on Human Performance and its Monitoring is to be 'taught' to the system. To be able to construct automated analysis systems, an overview of the essential processes and components of these systems is needed.Knuth Since the notion of an algorithm or a computer program provides us with an extremely useful test for the depth of our knowledge about any given subject, the process of going from an art to a science means that we learn how to automate something.
Climate change is one of the most critical global challenges nowadays. Increasing atmospheric CO2 concentration brought by anthropogenic emissions has been recognized as the primary driver of global warming. Therefore, currently, there is a strong demand within the chemical and chemical technology industry for systems that can covert, capture and reuse/recover CO2. Few examples can be seen in the literature: Hamelers et al (2013) presented systems that can use CO2 aqueous solutions to produce energy using electrochemical cells with porous electrodes; Legrand et al (2018) has proven that CDI can be used to capture CO2 without solvents; Shu et al (2020) have used electrochemical systems to desorb (recover) CO2 from an alkaline absorbent with low energy demand. Even though many efforts have been done, there is still demand for efficient and market-ready systems, especially related to solvent-free CO2 capturing systems. This project intends to assess a relatively efficient technology, with low-energy costs which can change the CO2 capturing market. This technology is called whorlpipe. The whorlpipe, developed by Viktor Schauberger, has shown already promising results in reducing the energy and CO2 emissions for water pumping. Recently, studies conducted by Wetsus and NHL Stenden (under submission), in combination with different companies (also members in this proposal) have shown that vortices like systems, like the Schauberger funnel, and thus “whorlpipe”, can be fluid dynamically represented using Taylor-Couette flows. This means that such systems have a strong tendency to form vortices like fluid-patterns close to their air-water interface. Such flow system drastically increase advection. Combined with their higher area to volume ratio, which increases diffusion, these systems can greatly enhance gas capturing (in liquids), and are, thus, a unique opportunity for CO2 uptake from the air, i.e. competing with systems like conventional scrubbers or bubble-based aeration.
