Automatiserade regressionstester avseende arbetsflöden och behörigheter i ProjectWise. : En fallstudie om ProjectWise på Trafikverket

Test av mjukvara görs i syfte att se ifall systemet uppfyller specificerade krav samt för att hitta fel. Det är en viktig del i systemutveckling och involverar bland annat regressionstestning. Regressionstester utförs för att säkerställa att en ändring i systemet inte medför att andra delar i systemet påverkas negativt. Dokumenthanteringssystem hanterar ofta känslig data hos organisationer vilket ställer höga krav på säkerheten. Behörigheter i system måste därför testas noggrant för att säkerställa att data inte hamnar i fel händer. Dokumenthanteringssystem gör det möjligt för flera organisationer att samla sina resurser och kunskaper för att nå gemensamma mål. Gemensamma arbetsprocesser stöds med hjälp av arbetsflöden som innehåller ett antal olika tillstånd. Vid dessa olika tillstånd gäller olika behörigheter. När en behörighet ändras krävs regressionstester för att försäkra att ändringen inte har gjort inverkan på andra behörigheter. Denna studie har utförts som en kvalitativ fallstudie vars syfte var att beskriva utmaningar med regressionstestning av roller och behörigheter i arbetsflöden för dokument i dokumenthanteringssystem. Genom intervjuer och en observation så framkom det att stora utmaningar med dessa tester är att arbetsflödens tillstånd följer en förutbestämd sekvens. För att fullfölja denna sekvens så involveras en enorm mängd behörigheter som måste testas. Det ger ett mycket omfattande testarbete avseende bland annat tid och kostnad. Studien har riktat sig mot dokumenthanteringssystemet ProjectWise som förvaltas av Trafikverket. Beslutsunderlag togs fram för en teknisk lösning för automatiserad regressionstestning av roller och behörigheter i arbetsflöden åt ProjectWise. Utifrån en kravinsamling tillhandahölls beslutsunderlag som involverade Team Foundation Server (TFS), Coded UI och en nyckelordsdriven testmetod som en teknisk lösning. Slutligen jämfördes vilka skillnader den tekniska lösningen kan utgöra mot manuell testning. Utifrån litteratur, dokumentstudie och förstahandserfarenheter visade sig testautomatisering kunna utgöra skillnader inom ett antal identifierade problemområden, bland annat tid och kostnad.

Loss of connectivity in Alzheimer's disease: an evaluation of white matter tract integrity with colour coded MR diffusion tensor imaging

A novel MRI method-diffusion tensor imaging-was used to compare the integrity of several white matter fibre tracts in patients with probable Alzheimer's disease. Relative to normal controls, patients with probable Alzheimer's disease showed a highly significant reduction in the integrity of the association white matter fibre tracts, such as the splenium of the corpus callosum, superior longitudinal fasciculus, and cingulum. By contrast, pyramidal tract integrity seemed unchanged. This novel finding is consistent with the clinical presentation of probable Alzheimer's disease, in which global cognitive decline is a more prominent feature than motor disturbance.

GPU implementation of a hyperspectral coded aperture algorithm for compressive sensing

This paper presents a new parallel implementation of a previously hyperspectral coded aperture (HYCA) algorithm for compressive sensing on graphics processing units (GPUs). HYCA method combines the ideas of spectral unmixing and compressive sensing exploiting the high spatial correlation that can be observed in the data and the generally low number of endmembers needed in order to explain the data. The proposed implementation exploits the GPU architecture at low level, thus taking full advantage of the computational power of GPUs using shared memory and coalesced accesses to memory. The proposed algorithm is evaluated not only in terms of reconstruction error but also in terms of computational performance using two different GPU architectures by NVIDIA: GeForce GTX 590 and GeForce GTX TITAN. Experimental results using real data reveals signficant speedups up with regards to serial implementation.

Parallel hyperspectral coded aperture for compressive sensing on GPUs

The application of compressive sensing (CS) to hyperspectral images is an active area of research over the past few years, both in terms of the hardware and the signal processing algorithms. However, CS algorithms can be computationally very expensive due to the extremely large volumes of data collected by imaging spectrometers, a fact that compromises their use in applications under real-time constraints. This paper proposes four efficient implementations of hyperspectral coded aperture (HYCA) for CS, two of them termed P-HYCA and P-HYCA-FAST and two additional implementations for its constrained version (CHYCA), termed P-CHYCA and P-CHYCA-FAST on commodity graphics processing units (GPUs). HYCA algorithm exploits the high correlation existing among the spectral bands of the hyperspectral data sets and the generally low number of endmembers needed to explain the data, which largely reduces the number of measurements necessary to correctly reconstruct the original data. The proposed P-HYCA and P-CHYCA implementations have been developed using the compute unified device architecture (CUDA) and the cuFFT library. Moreover, this library has been replaced by a fast iterative method in the P-HYCA-FAST and P-CHYCA-FAST implementations that leads to very significant speedup factors in order to achieve real-time requirements. The proposed algorithms are evaluated not only in terms of reconstruction error for different compressions ratios but also in terms of computational performance using two different GPU architectures by NVIDIA: 1) GeForce GTX 590; and 2) GeForce GTX TITAN. Experiments are conducted using both simulated and real data revealing considerable acceleration factors and obtaining good results in the task of compressing remotely sensed hyperspectral data sets.

Caso de estudo: UI-equipar. Procedimento de amostragem de aparas para quantificação de 2,4,6-Tricloroanisol

O sector da cortiça apresenta uma grande importância em Portugal, o líder mundial na sua exportação. Liderança encabeçada pelo Grupo Amorim, o líder mundial na transformação da cortiça. A cortiça, um material de excelência, apresenta múltiplas aplicações, das quais a mais rentável é a rolha natural, seguida da rolha técnica. É nesta última que a UI-Equipar se foca e na qual a presente dissertação foi realizada. Este material encontra-se sobre um grande escrutínio em termos de qualidade. Apresentando-se a contaminação por 2,4,6-tricloroanisol como um dos factores mais alarmantes. A presente dissertação visa a melhoria na caracterização da cortiça de trituração para quantificação de 2,4,6-tricloroanisol, ou TCA, no controlo deste composto no início do processo produtivo. Para tal, elaborou-se uma hipótese de trabalho na qual se avaliou a aplicação da trituração da cortiça no controlo em estudo. Realizaram-se uma serie de análises sobre as aparas Refugo, Broca e Especial em que se averiguou o efeito da área de exposição, da representatividade da amostragem, do volume de análise e da presença das partes mais sujas da cortiça, as Terras. As evidências apontam para que, apesar da grande heterogeneidade quanto à presença de 2,4,6-tricloroanisol, apenas para a apara Refugo e para a apara Broca a percentagem de detecção de contaminações por TCA aumenta em consequência do aumento da área de exposição do material em análise e através de uma melhor representatividade da cortiça (comparativamente ao procedimento actualmente em prática). Mostra-se ainda que para a apara Refugo e para a apara Broca os resultados obtidos da análise de cortiça triturada são estatisticamente diferentes dos resultados das análises em apara e que da implementação de meio litro ou dois litros; e da presença ou ausência de terras não se obtêm diferenças estatisticamente significativas. Recomenda-se que a amostragem complementada com a trituração, com uma maceração em meio litro, seja aplicada às aparas Refugo e Broca, mantendo-se inalterada o controlo sobre a apara Especial.

Konzeption einer Benutzerschnittstelle sowie Realisierung von Usability– und UI-Tests im Rahmen der prototypischen Entwicklung einer Android-App für eine Crowdtesting-Plattform

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Health problems among detainees in Switzerland: a study using the ICPC-2 classification.

BACKGROUND: Little is known about the health status of prisoners in Switzerland. The aim of this study was to provide a detailed description of the health problems presented by detainees in Switzerland's largest remand prison. METHODS: In this retrospective cross-sectional study we reviewed the health records of all detainees leaving Switzerland's largest remand prison in 2007. The health problems were coded using the International Classification for Primary Care (ICPC-2). Analyses were descriptive, stratified by gender. RESULTS: A total of 2195 health records were reviewed. Mean age was 29.5 years (SD 9.5); 95% were male; 87.8% were migrants. Mean length of stay was 80 days (SD 160). Illicit drug use (40.2%) and mental health problems (32.6%) were frequent, but most of these detainees (57.6%) had more generic primary care problems, such as skin (27.0%), infectious diseases (23.5%), musculoskeletal (19.2%), injury related (18.3%), digestive (15.0%) or respiratory problems (14.0%). Furthermore, 7.9% reported exposure to violence during arrest by the police. CONCLUSION: Morbidity is high in this young, predominantly male population of detainees, in particular in relation to substance abuse. Other health problems more commonly seen in general practice are also frequent. These findings support the further development of coordinated primary care and mental health services within detention centers.

An approach to visual servoing based on coded light

Positioning a robot with respect to objects by using data provided by a camera is a well known technique called visual servoing. In order to perform a task, the object must exhibit visual features which can be extracted from different points of view. Then, visual servoing is object-dependent as it depends on the object appearance. Therefore, performing the positioning task is not possible in presence of non-textured objects or objects for which extracting visual features is too complex or too costly. This paper proposes a solution to tackle this limitation inherent to the current visual servoing techniques. Our proposal is based on the coded structured light approach as a reliable and fast way to solve the correspondence problem. In this case, a coded light pattern is projected providing robust visual features independently of the object appearance

Overview of coded light projection techniques for automatic 3D profiling

Obtaining automatic 3D profile of objects is one of the most important issues in computer vision. With this information, a large number of applications become feasible: from visual inspection of industrial parts to 3D reconstruction of the environment for mobile robots. In order to achieve 3D data, range finders can be used. Coded structured light approach is one of the most widely used techniques to retrieve 3D information of an unknown surface. An overview of the existing techniques as well as a new classification of patterns for structured light sensors is presented. This kind of systems belong to the group of active triangulation method, which are based on projecting a light pattern and imaging the illuminated scene from one or more points of view. Since the patterns are coded, correspondences between points of the image(s) and points of the projected pattern can be easily found. Once correspondences are found, a classical triangulation strategy between camera(s) and projector device leads to the reconstruction of the surface. Advantages and constraints of the different patterns are discussed

Implementation of a robust coded structured light technique for dynamic 3D measurements

This paper presents the implementation details of a coded structured light system for rapid shape acquisition of unknown surfaces. Such techniques are based on the projection of patterns onto a measuring surface and grabbing images of every projection with a camera. Analyzing the pattern deformations that appear in the images, 3D information of the surface can be calculated. The implemented technique projects a unique pattern so that it can be used to measure moving surfaces. The structure of the pattern is a grid where the color of the slits are selected using a De Bruijn sequence. Moreover, since both axis of the pattern are coded, the cross points of the grid have two codewords (which permits to reconstruct them very precisely), while pixels belonging to horizontal and vertical slits have also a codeword. Different sets of colors are used for horizontal and vertical slits, so the resulting pattern is invariant to rotation. Therefore, the alignment constraint between camera and projector considered by a lot of authors is not necessary

Behaviours implemented using a vision system based on coded light projection

In a search for new sensor systems and new methods for underwater vehicle positioning based on visual observation, this paper presents a computer vision system based on coded light projection. 3D information is taken from an underwater scene. This information is used to test obstacle avoidance behaviour. In addition, the main ideas for achieving stabilisation of the vehicle in front of an object are presented

An overview of the advantages and constraints of coded pattern projection techniques for autonomous navigation

The absolute necessity of obtaining 3D information of structured and unknown environments in autonomous navigation reduce considerably the set of sensors that can be used. The necessity to know, at each time, the position of the mobile robot with respect to the scene is indispensable. Furthermore, this information must be obtained in the least computing time. Stereo vision is an attractive and widely used method, but, it is rather limited to make fast 3D surface maps, due to the correspondence problem. The spatial and temporal correspondence among images can be alleviated using a method based on structured light. This relationship can be directly found codifying the projected light; then each imaged region of the projected pattern carries the needed information to solve the correspondence problem. We present the most significant techniques, used in recent years, concerning the coded structured light method

Status Report Of The UI Trust Fund, 2001

Status report of UI Trust Fund for Iowa Workforce Development

Status Report Of The UI Trust Fund, 2002

Status report On the Iowa Unemployment Compensation Trust Fund for Iowa Workforce Development

Silver space-time trellis-coded modulation

Silver Code (SilC) was originally discovered in [1–4] for 2×2 multiple-input multiple-output (MIMO) transmission. It has non-vanishing minimum determinant 1/7, slightly lower than Golden code, but is fast-decodable, i.e., it allows reduced-complexity maximum likelihood decoding [5–7]. In this paper, we present a multidimensional trellis-coded modulation scheme for MIMO systems [11] based on set partitioning of the Silver Code, named Silver Space-Time Trellis Coded Modulation (SST-TCM). This lattice set partitioning is designed specifically to increase the minimum determinant. The branches of the outer trellis code are labeled with these partitions. Viterbi algorithm is applied for trellis decoding, while the branch metrics are computed by using a sphere-decoding algorithm. It is shown that the proposed SST-TCM performs very closely to the Golden Space-Time Trellis Coded Modulation (GST-TCM) scheme, yetwith a much reduced decoding complexity thanks to its fast-decoding property.