Carbon footprint bloembollen 2010

Voor exporteurs en handelaren van leverbare bollen is het in de toekomst mogelijk van belang om aan te kunnen geven wat de carbon footprint (kg CO2 –equivalenten per eenheid) van hun product is. Daarom is een rekenmodel ontwikkeld, waarmee met een minimum aan variabelen op eenvoudige wijze de directe en indirecte CO2 uitstoot per 1000 stuks van op de plaats van bestemming afgeleverde bloembollen kan worden berekend. Andere hierbij vrijgekomen broeikasgassen zoals N2O en CH4 worden omgerekend in CO2-equivalenten. De rekenmethodiek (wat wordt nog wel en wat wordt niet aan productie en transport van leverbare bloembollen toegerekend) en de gebruikte kengetallen voor CO2-equivalenten zijn afgestemd met het LEI/Hans Blonk Milieu Advies. Op de invoer- en resultaatpagina van dit model in Excel kunnen de meeste gegevens door het aanklikken van keuzemogelijkheden worden ingevoerd. Onderscheidende factoren in dit model zijn: het gewas, gewastype, het teeltgebied (Nederland of elders), de bewaarduur, de bewaarmethode (gangbaar of State-of-the-Art), de exportbestemming en het wel of niet terughalen van de exportkratten. Verdere differentiëring is in dit model geen optie. Het model laat zien dat bolgewassen en vaste planten een carbon footprint hebben die vergelijkbaar is met andere landbouwgewassen. Een uitzondering daarop zijn Irissen. Door de hoge temperaturen bij de bewaring is de Iristeelt niet alleen in vergelijking met andere bolgewassen, maar ook vergeleken met andere landbouwproducten zéér energie-intensief te noemen. Bij het transport van vaste planten wordt turf gebruikt. Vervanging van dit materiaal door een alternatief zou de relatief grote carbon footprint van tweejarige vaste planten met de helft kunnen terugbrengen. Van bijna alle bolgewassen bestaat de CO2-footprint voor het grootste gedeelte uit emissies in de verwerking en bewaringsfase. Het terugbrengen van de circulatie en ventilatie bij de bewaring, bijvoorbeeld door frequentieregelaars en/of ethyleen gestuurde ventilatie, kan de CO2-uitstoot resulterend uit de teelt van bolgewassen aanzienlijk verminderen. Het uitgebreide rekenmodel komt via internet beschikbaar voor exporteurs en handelaren

Multi-Level Visual Alphabets

A central debate in visual perception theory is the argument for indirect versus direct perception; i.e., the use of intermediate, abstract, and hierarchical representations versus direct semantic interpretation of images through interaction with the outside world. We present a content-based representation that combines both approaches. The previously developed Visual Alphabet method is extended with a hierarchy of representations, each level feeding into the next one, but based on features that are not abstract but directly relevant to the task at hand. Explorative benchmark experiments are carried out on face images to investigate and explain the impact of the key parameters such as pattern size, number of prototypes, and distance measures used. Results show that adding an additional middle layer improves results, by encoding the spatial co-occurrence of lower-level pattern prototypes

Real time automatic scene classification

This work has been done as part of the EU VICAR (IST) project and the EU SCOFI project (IAP). The aim of the first project was to develop a real time video indexing classification annotation and retrieval system. For our systems, we have adapted the approach of Picard and Minka [3], who categorized elements of a scene automatically with so-called ’stuff’ categories (e.g., grass, sky, sand, stone). Campbell et al. [1] use similar concepts to describe certain parts of an image, which they named “labeled image regions”. However, they did not use these elements to classify the topic of the scene. Subsequently, we developed a generic approach for the recognition of visual scenes, where an alphabet of basic visual elements (or “typed patches”) is used to classify the topic of a scene. We define a new image element: a patch, which is a group of adjacent pixels within an image, described by a specific local pixel distribution, brightness, and color. In contrast with pixels, a patch as a whole can incorporate semantics. A patch is described by a HSI color histogram with 16 bins and by three texture features (i.e., the variance and two values based on the two eigen values of the covariance matrix of the Intensity values of a mask ran over the image. For more details on the features used we refer to Israel et al. [2]. We aimed at describing each image as a vector with a fixed size and with information about the position of patches that is not strict (strict position would limit generalization). Therefore, a fixed grid is placed over the image and each grid cell is segmented into patches, which are then categorized by a patch classifier. For each grid cell a frequency vector of its classified patches is calculated. These vectors are concate- nated. The resulting vector describes the complete image. Several grids were applied and several patch sizes with the grid cells were tested. Grid size of 3x2 combined with patches of size 16x16 provided the best system performance. For the two classification phases of our system, back-propagation networks were trained: (i) classification of the patches and (ii) classification of the image vector, as a whole. The system was tested on the classification of eight categories of scenes from the Corel database: interiors, city/street, forest, agriculture/countryside, desert, sea, portrait, and crowds. Each of these categories were relevant for the VICAR project. Based upon their relevance for these eight categories of scenes, we choose nine categories for the classification of the patches: building, crowd, grass, road, sand, skin, sky, tree, and water. This approach was found to be successful (for classification of the patches 87.5% correct, and classification of the scenes 73.8% correct). An advantage of our method is its low computational complexity. Moreover, the classified patches themselves are intermediate image representations and can be used for image classification, image segmentation as well as for image matching. A disadvantage is that the patches with which the classifiers were trained had to be manually classified. To solve this drawback, we currently develop algorithms for automatic extraction of relevant patch types. Within the IST project VICAR, a video indexing system was built for the Netherlands Institute for Sound and Vision1, consisting of four independent mod- ules: car recognition, face recognition, movement recognition (of people) and scene recognition. The latter module was based upon the afore mentioned approach. Within the IAP project SCOFI, a real time Internet pornography filter was built, based upon this approach. The system is currently running on several schools in Europe. Within the SCOFI filtering system, our image classification system (with a performance of 92% correct) works together with a text classi- fication system that includes a proxy server (FilterX, developed by Demokritos, Greece) to classify web-pages. Its total performance is 0% overblocking and 1% underblocking

A valuable burden? The impact of children with profound intellectual and multiple disabilities on family life

Background: This study analysed parents' positive and negative appraisals of the impact of raising children with profound intellectual and multiple disabilities (PIMD) on family life. Method: Mothers (n = 52) and fathers (n = 27) of 56 children with PIMD completed a questionnaire focused on their positive and negative appraisals of the impact of childhood disability on family life. Scale means (ranging from 10 to 40) were calculated, as was the relationship between the two subscales. Results: Mothers and fathers indicated that their children affect family life both positively (M = 31.4 and 32.8, respectively) and negatively (M = 31.3 and 28.5, respectively). Only fathers showed a positive significant relationship between the positive and negative subscales. Conclusions: Parents' positive and negative appraisals co-occur. Although parents positively appraise the impact on family life, their substantial negative appraisals demand tailored support for families raising children with PIMD with a strong focus on practical support

Well-Being of Families with a Child with Profound Intellectual and Multiple Disabilities

In disability research, there is an increased focus on the well-being of families with a child with a disability, also known as family quality of life (FQOL). However, the well-being of families with a child with profound intellectual and multiple disabilities (PIMD) has not yet been explored, even though their well-being may be affected by the pervasive support needs they need to manage. In turn, sufficient well-being of the family is necessary to guarantee adequate support and thus well-being for the person with PIMD. The purpose of this study was to examine the well-being of families with a child with PIMD, including possible differences between parents and siblings, and how individual and familial factors are related to FQOL. A total of 82 participants from 44 families with a child with PIMD in the Netherlands participated. Multilevel models were employed to analyze FQOL scores and which factors significantly affected scores. Families scored moderately high on both total score and subscales, scoring lowest on emotional well-being. There were significant differences between parents and siblings and a significant effect of age of the respondent on emotional well-being, material well-being, and disability-related support. Siblings scored higher than parents, and scores decreased with age on these domains. Although families with a child with PIMD scored, on average, satisfactory on their FQOL, they were least satisfied with the support for their emotional well-being, and may therefore require additional support for this aspect of their family life. Results of this study contribute to understanding the lives of families with a child with PIMD and their support needs

Well-Being of Families with a Child with Profound Intellectual and Multiple Disabilities

In disability research, there is an increased focus on the well-being of families with a child with a disability, also known as family quality of life (FQOL). However, the well-being of families with a child with profound intellectual and multiple disabilities (PIMD) has not yet been explored, even though their well-being may be affected by the pervasive support needs they need to manage. In turn, sufficient well-being of the family is necessary to guarantee adequate support and thus well-being for the person with PIMD. The purpose of this study was to examine the well-being of families with a child with PIMD, including possible differences between parents and siblings, and how individual and familial factors are related to FQOL. A total of 82 participants from 44 families with a child with PIMD in the Netherlands participated. Multilevel models were employed to analyze FQOL scores and which factors significantly affected scores. Families scored moderately high on both total score and subscales, scoring lowest on emotional well-being. There were significant differences between parents and siblings and a significant effect of age of the respondent on emotional well-being, material well-being, and disability-related support. Siblings scored higher than parents, and scores decreased with age on these domains. Although families with a child with PIMD scored, on average, satisfactory on their FQOL, they were least satisfied with the support for their emotional well-being, and may therefore require additional support for this aspect of their family life. Results of this study contribute to understanding the lives of families with a child with PIMD and their support needs

Towards criteria and symptoms of constipation in people with severe or profound intellectual and multiple disabilities:A Delphi study

Background: Chronic constipation is common in people with intellectual disabilities, and seems to be highly prevalent in people with severe or profound intellectual and multiple disabilities (SPIMD). However, there is no current widely accepted definition for the constipation experienced by these individuals.Aim: This Delphi study aims to compile a list of operationalized criteria and symptoms of constipation in people with SPIMD based on practical experiences of and consensus between experts supporting them.Methods: A two-round Delphi study with an intermediate evaluation and analyses was conducted. Parents and relatives of persons with SPIMD and support professionals were included. The panel answered statements and open questions about symptoms and criteria of constipation. They were also requested to provide their opinion about classifying criteria and symptoms into domains. Answers to statements were analysed separately after both rounds with regard to consensus rate and displayed qualitatively; answers to open questions were analysed deductively.Results: In the first Delphi round (n = 47), consensus was achieved on criteria within the domains 'Defecation’ and 'Physical features', that were assigned to broader categories. Symptoms retrieved within the domain ‘Behavioural/Emotional’ were brought back to the panel as statements. After the second Delphi round (n = 38), consensus was reached on questions about domains, and for eight criteria (domain ‘Defecation’ n = 5; domain ‘Physical features n = 3). Within the domain ‘Behavioural/Emotional’, consensus was achieved for five symptoms. Criteria and symptoms with consensus >70% were considered ‘generic’ and <70% as ‘personal’. Symptoms mentioned in the text boxes were used to operationalize categories.Discussion and conclusion: It was possible to compile a list of generic criteria related to the domains ‘Defecation’ (n = 5) and ‘Physical features’ (n = 3) supplemented with generic symptoms related to the domain ‘Behavioural/Emotional’ (n = 5). We propose using both generic as well as personal criteria and symptoms resulting in a personal profile for an individual with SPIMD. Based on the current results, we recommend follow-up research to develop a screening tool to be used by relatives and professional caregivers, and a definition of constipation. This may support reciprocal collaboration and lead to timely identification of constipation in people with SPIMD