249 research outputs found
Permanently : Preservation Lab Treatment Report
No full textThis is a 4 volume set of books by author Kenneth Koch, printed by Tiber Press in 1960. This set came to the Preservation Lab for rehousing. The books are in good condition, yet suffer from minor surface dirt. The original slip case designed for the book is missing, but a photo of the original was used as reference.View Catalog Record</a
The Memristor Inside Out: The missing element has been found!
No full textEarlier this year HP Lab engineers announced their physical realization of the ‘missing’ fourth basic circuit element in electronics: the memristor. Not often a technological discovery attracted so much attention from the media. Apart from the wildest possible speculations on future applications in new non-volatile memory devices with human brain synthesizing properties and suggestions to rewrite the existing textbooks on circuit theory, the discovery met with much scepticism as well. What exactly is this memristor? Where does it come from? What will it bring us? Why didn’t we miss it before?Electrical Engineering, Mathematics and Computer Scienc
Chemical applications of escience to interfacial spectroscopy
No full textThis report is a summary of works carried out by the author between October 2003 and September 2004, in the first year of his PhD studie
Recovering Missing Contours for Occluded Object Detection
No full textOne difficult problem in practical applications is the corrupted or missing data frequently encountered in digital images. It introduces great challenges to the tasks such as object detection. This letter provides new methods for recovering missing object contours and detecting occluded objects. First, we propose an efficient contour reconstruction approach according to the Bayesian rule, utilizing global shape prior knowledge. Second, the contour reconstruction is applied to a robust detection framework for occluded objects. Based on the observed broken curves we iteratively recover object contours and propose object candidates. The experimental results demonstrate the high detection performance, localization accuracy and great advantages of our method for severe occlusion cases.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000305605200003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Engineering, Electrical & ElectronicSCI(E)EI2ARTICLE8463-4661
Adapting the process of a public sector innovation lab with the help of design thinking: The case of X-lab Rvo
No full textIn the Netherlands, one of the government bodies solving complex problems is the Netherlands Enterprise Agency (‘Rijksdienst Voor Ondernemers’; RVO). Within RVO, X-lab is developing new ways of working to be better prepared to deal with these complex problems. In short, X-lab is RVO’s internal innovation lab that creates and collects different frameworks, methods and tools to support policy writers when they solve problems. They do this by co-creation, developing frameworks, experimenting and setting up processes. In practice it has been noted by X-lab that innovative ideas are being created with the help of X-lab, but not always successfully carried out in practice. Hence, X-lab is working on improving its methods and processes. A new method they are currently developing is flow design, which is seen as a good fit to solve the present complex problems. However, X-lab encounters problems scaling up the flow design method, therefore it is not practiced by many. I was approached to further investigate this problem. While investigating the problem, I noticed there are several underlying problems within flow design that do not allow flow design to live up to its full potential to deal with complex problems. This is mainly because after a flow design session no clear actions to solve the problem are designed after analysing the problem. Based on this insight, I decided to shift the focus of this research towards these underlying problems. Resulting in the following aim of this research: The aim of this research is to deliver a tangible product that enables X-lab to better deal with complex problems, supported by recommendations that are based on a thorough analysis of X-lab and flow design. Since I am a designer experienced in design thinking, the following research question was drafted: Where and how can design thinking support the trajectory of flow design within X-lab RVO? This thesis follows the structure of the double diamond as presented by the design council (2007). The starting point of this thesis was conducting research into X-lab and flow design. These results are evaluated and then compared to design thinking theories. Based on the outcome of this analysis several experiments were performed to develop the solution. As a final step this solution is validated and iterated. Resulting in two manuals and a decision-making canvas. The discovery phase The first phase of this thesis is the discovery phase. In this phase case studies and interviews are done to develop a theory explaining flow design. Based on this analysis several problems are identified which are arbitrary division, language, time limitation, lack of process and measuring impact. Of these problems lack of process is the most relevant problem and therefore it was selected to solve in this thesis. In this analysis it was concluded that flow design doesn’t live up to its full potential. According to the theories by Tuckmann (1972) and Snowden and Boone (2007), there need to be steps added after a flow design session, so that the group can live up to its full potential and so that complex/complicated problems are solved in the best possible way. Therefore, the question arises whether design thinking is a relevant theory to support in developing these steps and if so, how can it support flow design? The define phase: This question is answered in the second phase of this thesis, the define phase. With the help design thinking models, such as frame creation (Dorst, 2015) and the double diamond (Design council, 2004), the conclusion is made that design thinking is supporting when dealing with complex and complicated problems. Also, based on the design thinking models, two design thinking principles were drafted that can support flow design, which are:•To be able to perform next steps while solving a problem, their needs to be clarity in which steps to take and why•Secondly, these steps need to be taken using iteration and experimentationThe create phase:The third phase of this process is the create phase. In this phase the solution is created and developed. To do so several experiments are performed to understand the moment of intervention, the use of frameworks, how to deliver clarity and their current way of experimentation. Based on these experiments a model is developed and tested. The result was a concept model, which had potential, but needed further iteration so that the user knows how to properly apply the model. This was done in the final phase.The deliver phase:The final phase of this thesis is the deliver phase. In this phase I have developed two manuals and a decision-making canvas which guides you through the necessary steps to take for solving a complicated or complex problem. These products were validated using a fictive case study. The evaluation pointed out that the product portfolio is succesfull, but where and how did design thinking support the trajectory of flow design? I will explain that based on the theories I have consulted in this thesis.The support of design thinking:Based on Tuckmann (1972) and Snowden (2007) and the interviews it can be said that the full potential of the current flow design process is not met. First of all, because in theory the potential is higher when all steps of the two theories are completed, and secondly, because flow design has no tangible outcome and therefore no clear actions to solve the problem are designed after analysing the problem. However, the final goal is to solve the problem, consequently the current flow design process could be improved.So, flow design doesn’t perform all the steps of Tuckmann’s model of group development and also not of Snowden’s dealing with complex/complicated problems model. The missing steps in flow design are Tuckmann’s norming and performing steps and Snowden’s probe, sense and response steps for complex problems, and Snowden’s sense, analyse and response steps for complicated problems. The product portfolio was designed in such a way that it facilitates that all of Snowden’s and Tuckmann’s steps are performed. Furthermore, the validation showed that the product portfolio indeed delivered clear actions to solve the problem. Since, the product portfolio has been created with the use of design thinking, namely the methods of the double diamond and frame creation are being applied, I conclude design thinking supports the trajectory of flow design.So, I have presented a product portfolio in this thesis which improves flow design. Furthermore, this product portfolio along with the thorough description I made on flow design itself has been written down in a tangible document that can be transferred to collegues within the organisation. Reflecting on the starting point of this project six months ago, I conclude that the side effect of this thesis is that the resulting product increases the potential scalability of flow design.Lastly, the validation pointed out that improvements can be made on clarifying what type of problem you are dealing with and on how to use the action model more time efficient.Strategic Product Desig
Missing data imputation by utilizing information within incomplete instances
No full textThis paper proposes to utilize information within incomplete instances (instances with missing values) when estimating missing values. Accordingly, a simple and efficient nonparametric iterative imputation algorithm, called the NIIA method, is designed for iteratively imputing missing target values. The NIIA method imputes each missing value several times until the algorithm converges. In the first iteration, all the complete instances are used to estimate missing values. The information within incomplete instances is utilized since the second imputation iteration. We conduct some experiments for evaluating the efficiency, and demonstrate: (1) the utilization of information within incomplete instances is of benefit to easily capture the distribution of a dataset; and (2) the NIIA method outperforms the existing methods in accuracy, and this advantage is clearly highlighted when datasets have a high missing ratio
Corrigendum to: Human Footprint on Natural Systems: Missing Post-war Scenario in the Urban Context of Damascus
No full textAll regions in Syria have witnessed a decline in green spaces due to the spread of illegal logging operations and a decline in interest in agricultural wealth due to the
Systems. Missing post-war Scenario in the Urban Context of Damascus,” the author would like to revise the Acknowledgement and Credits sections to better reflect the contributions of collaborating institutions.
The revised sections are provided below:
Acknowledgement
[A]FA has been collaborating with the Faculty of Architecture of the University of Damascus and the Damascus-based Reparametrize Foundation as part of their ongoing project Recoding Post-War-Syria, Zamalka. Students have been selected from each institution to participate in the lab.
Credits
[APPLIED] FOREIGN AFFAIRS, IoA, University of Applied Arts Vienna / Reparametrize Studio
These revisions do not affect the scientific content, results, or conclusions of the article. The author and the editorial team regret the omission and have now rectified the record
A missing partner model with 24-plet breaking SU(5)
No full textWe give a missing partner model using 24-plet instead of 75-plet to break the SU(5) symmetry. Fermion masses and mixing are generated through the Georgi-Jarlskog mechanism. The model is constructed at renormalizable level at very high energy. The perturbative region is extended for the unification gauge coupling. Constrains by proton decay is also satisfied.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000313124000022&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Physics, Particles & FieldsSCI(E)2ARTICLE12nul
TAM 2.0
No full textMost courses in the Computer Science Bachelor at the Delft University of Technology make use of lab sessions. During these lab sessions students can ask questions about course material and get feedback on their assignment. Moreover, their knowledge about assignments can be orally tested. In order to properly help the students, teaching assistants, or TAs, are selected to assist the lecturer during the lab sessions. With the number of students in the Bachelor quickly growing, the process of manually recruiting students to become a TA and assigning the TAs to lab sessions is becoming very time consuming and almost impossible. During a Bachelor End Project in 2018 four students (van Deursen et al., 2018) created the Teach- ing Assistant Management (TAM) platform. This project aimed to ease the process of recruiting and scheduling TAs. All parties involved in the process of appointing TAs can use TAM to provide their input. Lecturers can register their courses on TAM and students are able to indicate their interest and availability to help with different courses. However, the first version of TAM missed a number of important features. For example, student avail- ability data had to be extracted manually and teachers still had to email their TA selection to the coordinator. This project aims to continue and improve TAM with these missing features. In order to achieve this goal TAM 2.0 has been developed. TAM 2.0 consists of three components: a MySQL database, a back end written using Spring and Java containing the business logic, and a front end website created using Vue to provide an interface to its users. TAM 2.0 also integrated LabraCORE. LabraCORE provides user and course information to several platforms and stores it conveniently in one central place.TAMComputer Science and Engineerin
Proton decay in a supersymmetric SO(10) model with missing partner mechanism
No full textThe extended supersyrnmetric SO(10) model with missing partner mechanism is studied. An intermediate vacuum expectation value is incorporated which corresponds to the see-saw scale. Gauge coupling unification is not broken explicitly. Proton decay is found to satisfy the present experimental limits at the cost of fine-tuning some parameters.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000334424000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Physics, Particles & FieldsSCI(E)[email protected]; [email protected]; [email protected]
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