In this paper, we investigate the efficiency of ray queries on the CPU in the context of path tracing, where ray distributions are mostly random. We show that existing schemes that exploit data locality to improve ray tracing efficiency fail to do so beyond the first diffuse bounce, and analyze the cause for this. We then present an alternative scheme inspired by the work of Pharr et al. in which we improve data locality by using a data-centric breadth-first approach. We show that our scheme improves on state-of-the-art performance for ray distributions in a path tracer.
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We present the Brigade renderer: an efficient system that uses the path tracing algorithm to produce images for real-time games. We describe the architecture of the Brigade renderer, and provide implementation details. We describe two games that have been created using Brigade.
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In September 2009 the department of Engineering of Fontys University of Applied Sciences in the Netherlands has started a pilot honours program for excellent engineering students called PRogram OUstanding Development (PROUD). Aim of this program is to give those engineering students, who have the ambition, the opportunity to work on extra profession related challenges in their study. By means of this PROUD program Fontys University of Applied Sciences is responding to the wishes of students for extra curricular activities and increasing need from the industry for excellent professionals with an extra level of theoretical knowledge and practical experience. In this paper the courses offered at the Engineering department of the Fontys University of Applied Sciences are discussed. Different study possibilities/routings for students were developed depending on earlier acquainted competences, adaptation abilities to our system (special possibilities for slow starters) and tracking and tracing by intensive study coaching. This resulted in an improvement of the yield of students to 74% of students started in 2008. After working successfully on reducing the drop out rate of our engineering students the department focused on possibilities for excellent students. The department started the PROUD pilot together with engaged engineering students. In 2008 engineering students have carried out a research among their fellow students, lecturers, other institutes [1] and industry. This resulted in a quite different approach of an honours program for the department of Electronic and Electrical Engineering. In the PROUD program the student is stimulated to personally shape his educational career and to explicitly work on developing his own competences. The PROUD excellent program starts after the first year and extends to at least 3 semesters in the following years. The student, guided by a supervisor and outside the regular study time, is working on building an excellent portfolio at the university as well as in industry. During this period the PROUD student will work in industry one day a week in average. This is on top of his bachelor educational program. The students will receive an excellent honours certificate together with their bachelor's degree at the end of the study to express their honourable work. Each year about 20 students apply for a place in PROUD but thus far only about 3-4 passed the first interview round. It turns out that student, university and industry are eager to participate in this PROUD program.
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In many fields within management and organizational literature there is considerable debate and controversy about key theoretical concepts and their definitions and meanings. Systematic metaphor analysis can be a useful approach to study the underlying conceptualizations that give rise to these controversies and putting them in perspective. It can help identify the different ways a theoretical concept is structured and given meaning, provide insight into the way these different conceptualizations relate to each other, and show how these conceptualizations impact further theorization about the concept. This article describes the procedure for a systematic analysis of the metaphors used to conceptualize key theoretical concepts. To examine its usefulness, the authors apply the approach to the field of social capital, and in particular to the concept of ‘relationships’ in organizations. In the metaphor analysis of three seminal articles on social capital, the authors identify seven metaphoric concepts for relationships. The metaphors are illuminated as important for providing imagery that adds specific meaning in the process of authors theorizing about social capital like ‘tie’, ‘path’ and ‘bridge’. They add dynamics and controllability to the concepts by attributing an array of verbs like ‘to move between’ or ‘to use’ relationships. In addition, the metaphors allow for the attribution of specific characteristics to the concept of relationships that can be used as variables in theory construction, such as the strength of a relationship or the ‘distance’ between people. These insights are useful in exploring and reconciling differences in social capital definitions.
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Discussions on policy and management initiatives to facilitate individuals throughout working careers take place without sufficient insight into how career paths are changing, how these changes are related to a modernization of life course biographies, and whether this leads to increased labour market transitions. This paper asks how new, flexible labour market patterns can best be analyzed using an empirical, quantitative approach. The data used are from the career module of the Panel Study of Belgian Households (PSBH). This module, completed by almost 4500 respondents consists of retrospective questions tracing lengthy and even entire working life histories. To establish any changes in career patterns over such extended periods of time, we compare two evolving methodologies: Optimal Matching Analysis (OMA) and Latent Class Regression Analysis (LCA). The analyses demonstrate that both methods show promising potential in discerning working life typologies and analyzing sequence trajectories. However, particularities of the methods demonstrate that not all research questions are suitable for each method. The OMA methodology is appropriate when the analysis concentrates on the labour market statuses and is well equipped to make clear and interpretable differentiations if there is relative stability in career paths during the period of observation but not if careers become less stable. Latent Class has the strength of adopting covariates in the clustering allowing for more historically connected types than the other methodology. The clustering is denser and the technique allows for more detailed model fitting controls than OMA. However, when incorporating covariates in a typology, the possibilities of using the typology in later, causal, analyses is somewhat reduced.
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This papers presents some ideas to use so-called software agents as a software representation of a product not only during manufacturing but also during the whole life cycle of the product. Software agents are autonomous entities capable of collecting useful information about products. By their design and capabilities software agents fit well in the concept of ubiquitous computing. We use these agents in our newly developed manufacturing process. This paper discusses further use of agent technology.
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This paper presents a method for Universities of Applied Sciences (UAS) to account for the impact of research. The 36 UAS in The Netherlands aim to contribute to global challenges and pressing social issues through practice-based research. Given this aim UAS have a strong responsibility to account for the impact of their research and to show that the public research money is well spent. This paper shows that none of the existing methods for assessing the impact of research are suitable for the research conducted at Dutch UAS. It offers an alternative approach based on narratives supported by empirical evidence.
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Purpose: The aims of this study were to investigate how a variety of research methods is commonly employed to study technology and practitioner cognition. User-interface issues with infusion pumps were selected as a case because of its relevance to patient safety. Methods: Starting from a Cognitive Systems Engineering perspective, we developed an Impact Flow Diagram showing the relationship of computer technology, cognition, practitioner behavior, and system failure in the area of medical infusion devices. We subsequently conducted a systematic literature review on user-interface issues with infusion pumps, categorized the studies in terms of methods employed, and noted the usability problems found with particular methods. Next, we assigned usability problems and related methods to the levels in the Impact Flow Diagram. Results: Most study methods used to find user interface issues with infusion pumps focused on observable behavior rather than on how artifacts shape cognition and collaboration. A concerted and theorydriven application of these methods when testing infusion pumps is lacking in the literature. Detailed analysis of one case study provided an illustration of how to apply the Impact Flow Diagram, as well as how the scope of analysis may be broadened to include organizational and regulatory factors. Conclusion: Research methods to uncover use problems with technology may be used in many ways, with many different foci. We advocate the adoption of an Impact Flow Diagram perspective rather than merely focusing on usability issues in isolation. Truly advancing patient safety requires the systematic adoption of a systems perspective viewing people and technology as an ensemble, also in the design of medical device technology.
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This study proposes a systematic value chain approach to helping businesses identify and eliminate inefficiencies. The authors have developed a robust framework, which food-sector entrepreneurs can use to increase profitability of an existing business or to create new profitable opportunities. The value chain approach provides win-win opportunities for players within the value chain. To test the robustness of the framework, the authors use food waste as an example of a critical inefficiency and apply it to two different food sector business cases, each operating in diverse conditions. Because the suggested framework addresses the core elements and parameters for the existence and competitiveness of a business, the model can be adapted to other sectors.
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As Vehicle-to-Everything (V2X) communication technologies gain prominence, ensuring human safety from radiofrequency (RF) electromagnetic fields (EMF) becomes paramount. This study critically examines human RF exposure in the context of ITS-5.9 GHz V2X connectivity, employing a combination of numerical dosimetry simulations and targeted experimental measurements. The focus extends across Road-Side Units (RSUs), On-Board Units (OBUs), and, notably, the advanced vehicular technologies within a Tesla Model S, which includes Bluetooth, Long Term Evolution (LTE) modules, and millimeter-wave (mmWave) radar systems. Key findings indicate that RF exposure levels for RSUs and OBUs, as well as from Tesla’s integrated technologies, consistently remain below the International Commission on Non-Ionizing Radiation Protection (ICNIRP) exposure guidelines by a significant margin. Specifically, the maximum exposure level around RSUs was observed to be 10 times lower than ICNIRP reference level, and Tesla’s mmWave radar exposure did not exceed 0.29 W/m2, well below the threshold of 10 W/m2 set for the general public. This comprehensive analysis not only corroborates the effectiveness of numerical dosimetry in accurately predicting RF exposure but also underscores the compliance of current V2X communication technologies with exposure guidelines, thereby facilitating the protective advancement of intelligent transportation systems against potential health risks.
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