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News Article | April 3, 2017
Site: startupjuncture.com

What happens in the startup scene in The Netherlands right now? Find out in another Dutch startup news update! Our Startup-Prince Contantijn van Oranje announced last Wednesday on the populair Dutch TV Show ‘De Wereld Draait Door’ that a new edition of the StartupFest will be held September this year. It will coincide with the populair startup event in September: Amsterdam Capital Week. Last year the titan’s of the tech industry – Tim Cook, Travis Kalanic and Eric Smidt – were speakers among others. Contantijn said that just like last year high profile names will be invited as keynote speakers, hinting that one of the speakers might the founder of Alibaba – Jack Ma. The theme of the event will be a new focus on promoting the involvement of startups in tackling major global problems like climate change, health, energy etc. Silicon Valley based insider security company Dtex Systems has set office in The Hague Security Delta. To prevent data abuse and data breaches the company has developed software to detect insider threats and infiltration from the outside. “We are also eager to work with partners and The Hague Security Delta is the perfect platform to work with governments, knowledge institutions and enterprises to build a solid foundation for the Dtex operations in the Netherlands and beyond”, said Olav van Haren, Sales Director at Dtex Systems. Founded in 1949 Vanderlande is for a long time not a startup anymore. But we still think the recent acquisition of the company deserves some attention. Vanderlande is a global market leader in baggage handling systems for airports and with a revenue of $1.051 billion it’s the world’s fifth-largest materials handling systems supplier. Last month Toyota Industries bought Vanderlande for 1.2 billion euros. The online supermarket raised 100 million euro in growth capital from four wealthy-family funds NPM Capital, De Hoge Dennen, Hoyberg and Finci. It was founded in 2015 after two years of stealth mode development. It has seeded the development of the company in just a few cities and plans to expand throughout the country in three year with the capital raised. It’s two key value propositions are: free delivery and taking out 1 hour of your agenda to stay at home for the delivery. You can on top of that follow the driver (like with Uber) in the app and thus know up to the minute when you’re expected to open the door. It’s contending for biggest deal of the year in The Netherlands and the investment is already in the top 3 of all-time funding in Dutch startups. Dutch/Belgian biotech company Pluriomics has raised an additional 2.5 million euro in funding from Belgian VCs SFPI-FPIM and SambrInvest. The startup is a spin-off from the Leiden University Medical Center (LUMC). It uses stem cell technology, disease modelling and cell-based assays development for cardiovascular drug discovery. SciSports, a spin-off of the University of Twenty has raised an additional 1.8 million euro in funding for further expansion. The startup has created a tool called BallJames that gathers 3D data of football games by looking into the field of radiology to try and make football analytics better while partnering with the university’s chair of Biometric Pattern Recognition. The startup previously raised a seed round of 1.35 million euro. SciSports will invest in automating these tools for the media, gambling, and gaming industries, said founder Giels Brouwer to tech.eu. Eindhoven-based SMART-Photonics has managed to raise seven million euro in a second round of investment. The money will be used for further growth, including through building a new plant and additional staff. The company specialises in the development and (mass) production of integrated photonic chips. These chips could eventually replace the electronic chips, because they are faster and more accurate. Ask a Female Engineer: How Can Managers Help Retain Technical Women on Their Team? Here is a great Y Combinator article on why female engineers leave a company. As it should be the folks at Y Combinator asked the female engineers themselves this questions, instead an arm-chair scholar. Building viral growth engines into the product experience can be a great strategy to build momentum and grow your startup. Here is a great article by Josh Elman on virality.


Das I.,University of Twenty | Das I.,Indian Institute of Remote Sensing | Das I.,ITC Inc | Kumar G.,Indian Institute of Remote Sensing | And 3 more authors.
Environmental Monitoring and Assessment | Year: 2011

Little is known about the quantitative vulnerability analysis to landslides as not many attempts have been made to assess it comprehensively. This study assesses the spatio-temporal vulnerability of elements at risk to landslides in a stochastic framework. The study includes buildings, persons inside buildings, and traffic as elements at risk to landslides. Building vulnerability is the expected damage and depends on the position of a building with respect to the landslide hazard at a given time. Population and vehicle vulnerability are the expected death toll in a building and vehicle damage in space and time respectively. The study was carried out in a road corridor in the Indian Himalayas that is highly susceptible to landslides. Results showed that 26% of the buildings fall in the high and very high vulnerability categories. Population vulnerability inside buildings showed a value >0.75 during 0800 to 1000 hours and 1600 to 1800 hours in more buildings that other times of the day. It was also observed in the study region that the vulnerability of vehicle is above 0.6 in half of the road stretches during 0800 hours to 1000 hours and 1600 to 1800 hours due to high traffic density on the road section. From this study, we conclude that the vulnerability of an element at risk to landslide is a space and time event, and can be quantified using stochastic modeling. Therefore, the stochastic vulnerability modeling forms the basis for a quantitative landslide risk analysis and assessment. © 2010 The Author(s).


Schutte J.H.,University of Twenty | Wijnant Y.H.,University of Twenty | De Boer A.D.,University of Twenty
Acta Acustica united with Acustica | Year: 2015

The horn effect is known as an important amplification mechanism in tyre/road noise. The name is referring to the geometry between tyre and road surface which resembles an exponential horn. The horn effect is a common subject for both experimental and numerical research. Contrary to previous studies which considered point sources, this paper focusses on the horn effect by simulated tyre vibrations. The amplification of acoustic pressure, however, depends largely on the location of the observer. The sound power can be used as a measure for the horn effect which is independent on the point of observation. In this paper, the sound radiation problem is solved using the boundary element method (BEM). First, a case study considering equivalent point sources is used to validate the accuracy of the boundary element model and solver using experimental results. Next, the vibrations of tyres rolling on textured road surfaces are investigated numerically. The computed tyre vibrations are used to study the horn effect using different tyre designs. The amplification by horn effect is determined by the combined tyre/road geometry and the distribution of the noise. The current method may be used to systematically study the influence of the horn effect, for example, during tyre development. © S. Hirzel Verlag EAA.


Yusof N.,University of Technology Malaysia | Zurita-Milla R.,University of Twenty | Kraak M.-J.,University of Twenty | Retsios B.,University of Twenty
International Journal of Geographical Information Science | Year: 2016

Wind speed and direction vary over space and time due to the interactions between different pressures and temperature gradients within the atmospheric layers. Near the earth’s surface, these interactions are modulated by topography and artificial structures. Hence, characterizing wind behaviour over large areas and long periods is a complex but essential task for various energy-related applications. In this study, we present a novel approach to discover wind patterns by integrating sequential pattern mining and interactive visualization techniques. The approach relies on the use of the Linear time Closed pattern Miner sequence algorithm in conjunction with a time sliding window that allows the discovery of all sequential patterns present in the data. These patterns are then visualized using integrated 2D and 3D coordinated multiple views and visually explored to gain insight into the characteristics of the wind from a spatial, temporal and attribute (type of wind pattern) point of view. This proposed approach is used to analyse 10 years of hourly wind speed and direction data for 29 weather stations in the Netherlands. The results show that there are 15 main sequential patterns in the data. The spatial task shows that weather stations located in the same region do not necessarily experience similar wind pattern. For within the selected time interval, similar wind patterns can be observed in different stations and in the same station at different times of occurrence. The attribute task discovered that the repetitive occurrences of chosen pattern indicate as regular wind behaviour at different weather stations that persisted continuously over time. The results of these tasks show that the proposed interactive discovery facilitates the understanding of wind dynamics in space and time. © 2016 Taylor & Francis


PubMed | University of Twenty
Type: Journal Article | Journal: Environmental monitoring and assessment | Year: 2011

Little is known about the quantitative vulnerability analysis to landslides as not many attempts have been made to assess it comprehensively. This study assesses the spatio-temporal vulnerability of elements at risk to landslides in a stochastic framework. The study includes buildings, persons inside buildings, and traffic as elements at risk to landslides. Building vulnerability is the expected damage and depends on the position of a building with respect to the landslide hazard at a given time. Population and vehicle vulnerability are the expected death toll in a building and vehicle damage in space and time respectively. The study was carried out in a road corridor in the Indian Himalayas that is highly susceptible to landslides. Results showed that 26% of the buildings fall in the high and very high vulnerability categories. Population vulnerability inside buildings showed a value >0.75 during 0800 to 1000 hours and 1600 to 1800 hours in more buildings that other times of the day. It was also observed in the study region that the vulnerability of vehicle is above 0.6 in half of the road stretches during 0800 hours to 1000 hours and 1600 to 1800 hours due to high traffic density on the road section. From this study, we conclude that the vulnerability of an element at risk to landslide is a space and time event, and can be quantified using stochastic modeling. Therefore, the stochastic vulnerability modeling forms the basis for a quantitative landslide risk analysis and assessment.

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