A task migration mechanism for distributed many-core operating systems

Spatial locality of task execution is becoming important in future hardware platforms since the number of cores is steadily increasing. The large amount of cores requires an intelligent power manager and the high chip and core density requires increased thermal awareness to avoid thermal hotspots on the chip. This paper presents a lightweight task migration mechanism explicitly for distributed operating systems running on many-core platforms. As the distributed OS runs one scheduler on each core, the tasks are migrated between OS kernels within the same shared memory platform. The benefits, such as performance and energy efficiency, of task migration are achieved by re-locating running tasks on the most appropriate cores and keeping the overhead of executing such a migration sufficiently low. We investigate the overhead of migrating tasks on a distributed OS running both on a bus-based platform and a many-core NoC—with these means of measures, we can predict the task migration overhead and pinpoint the emerging bottlenecks. With the presented task migration mechanism, we intend to improve the dynamism of power and performance characteristics in distributed many-core operating systems.     

The influence of dietary lipids on the composition and membrane fluidity of rat hepatocyte plasma membrane

Weanling male Wistar rats were fed for five weeks on standard rat chow (23 g fat/kg diet) or one of four synthetic diets with butterfat, coconut oil, corn oil, or fish oil as the main lipid source (100 g fat/kg diet). In all diets, 10% of the fat was provided as corn oil to prevent essential fatty acid deficiency. Significant differences were observed in the saturated, monounsaturated, and polyunsaturated fatty acid composition, and in the ratio of cholesterol to phospholipid, in the hepatocyte membranes. The fluidity of hepatocyte plasma membranes was assessed using the fluorescence recovery after photobleaching technique and steady-state fluorescence anisotropy of diphenylhexatriene. No significant differences were found in the fluidity of plasma membranes between animals on the different fat diets, despite diet-induced changes in their fatty acid composition. However, the proportion of lipid free to diffuse in the plasma membrane varied with diet, being significantly greater (P<0.05) in animals fed chow (63.7%), coconut oil (61.5%), and butterfat (57.6%) diets than in those fed the corn oil (47.3%) diet. Animals fed fish oil showed an intermediate (50.0%) proportion of lipid free to diffuse. The data support the hypothesis that dietary lipids can change both the chemical composition and lateral organization (lipid domain structure) of rat hepatocyte plasma membranes.     

Exploring the Tension between Clarity and Ambiguity in Goal Setting for Innovation

In this article we analyse the role of goal setting for innovation in an R&D context. The literature on goal setting for innovation is inconclusive; some scholars claim that goals should be ambiguous in order to inspire novel ideas, but others claim that clear project goals are important in order to undertake innovation projects in an efficient manner. We aim to explain this inconsistency by taking a more fine‐grained view of innovation where we study goal setting in relation to exploratory aspects such as idea generation separately from exploitatory aspects such as idea implementation. The results from an empirical survey study in the R&D department of an automotive company reveal that a general ambition to be innovative is positively related to all phases of innovation, but the effects of clear project goals are more complex. We found that idea novelty increases under conditions of either high or low levels of goal clarity, whereas mid‐range levels of goal clarity are related to fewer novel ideas. These findings inform existing knowledge about goal setting and innovation, and in particular challenge the body of literature showing that only high levels of ambiguity in goal setting are a fruitful means for innovation.     

Merge of motion analysis,multibody dynamics and finite element method for the subject-specific analysis of cartilage loading patterns during gait: differences between rotation and moment-driven models of human knee joint

Understanding joint loading is important when evaluating sports training methods, sports equipment design, preventive training regimens, post-op recovery procedures, or in osteoarthritis’ etiology research. A number of methods have been introduced to estimate joint loads but they have been limited by the lack of accuracy in the joint models, including primarily the lack of patient-specific motion inputs in the models with sophisticated, fibril-reinforced material models. The method reported here records and applies patient-specific human motion for in-depth cartilage stress estimation. First, the motion analysis of a subject was conducted. Due to skin motion, multibody simulation was used to correct motion capture. These data was used as an input in a finite element model. The model geometry was based on magnetic resonance imaging and cartilage was modeled as a fibril-reinforced poroviscoelastic material. Based on the experimental motion data (motion analysis and multibody simulation), two models were created: a rotation-controlled and a moment-controlled model. For comparison, a model with motion input from the literature was created. The rotation-controlled model showed the most even stress distribution between lateral and medial compartments and smallest stresses and strains in a depth-wise manner. The model based on the literature motion simulated very high stresses and uneven stress distribution between the joint compartments. Our new approach to determine dynamic knee cartilage loading enables estimations of stresses and strains for a specific subject over the entire motion cycle.     

A temperature-controlled spectrometer system for continuous and unattended measurements of canopy spectral radiance and reflectance

This paper describes the development of a fully automated system for collecting high-resolution spectral data over a forested footprint. The system comprises a pair of off-the-shelf spectrometers in a custom-built thermal enclosure with a fixed off-nadir downward (target)-pointing fibre and upward-pointing fibre for irradiance measurement. Both instruments sample simultaneously via custom-written and user-controlled software during all weathers and sky conditions. The system is mounted on a 25 m eddy covariance scaffolding tower, approximately 7 m from a Scots pine forest canopy. The system was installed at the University of Helsinki’s SMEAR-II Field Station in Hyytiälä in March 2010 and has been operating continuously through a joint programme between the Universities of Edinburgh and Helsinki. The system was designed to capture diurnal and seasonal variation in vegetation light-use efficiency and fluorescence through the capture and analysis of well-defined narrow spectral features, but its implementation would permit the extraction of further optical signals linked to vegetation biophysical variables, and provide a continuous data stream with which to validate satellite data products including vegetation indices such as the photochemical reflectance index (PRI) as well as spectral indicators of solar induced fluorescence.     

Monitoring environmental performance of the forestry supply chain using RFID

It is estimated that wood raw material worth of approximately €5 billion is wasted annually in Europe. The major reason for this is that the raw material is not used in the most efficient way as information needed regarding the wood raw material is not available throughout the supply chain. An automatic traceability system makes it possible to utilise raw material information efficiently throughout the forestry-wood production chain and to maximize the raw material yield, and to optimise and to monitor the environmental impact, by linking the relevant information to the traced objects. This paper describes novel RFID technology and traceability solutions that have been developed for the wood products industry. RFID-marking connects the physical objects with their database counterparts thus allowing automatic tracing of the objects. The architecture is needed to the dynamic and decentralised nature of the wood industry. The developed novel RFID based technology allows tracing of individual logs from the tree felling to the sawing of the logs at the saw mill. By combining the traceability and process information systems, new methods are enabled for analysing the performance of the supply chain. As an example, the environmental performance of a product can be traced and analysed even on an individual level. This means that not only the performance from the own production of a manufacturer will be accessible, but also the upstream processes that constitute the product value chain and the life cycle performance for the product leaving the manufacturer.     

RoboMusic with modular playware

Based on the concepts of RoboMusic and modular playware, we developed a system composed of modular playware devices which allow any user to perform music in a simple, interactive manner. The key features exploited in the modular playware approach are modularity, flexibility, construction, immediate feedback to stimulate engagement, creative exploration of play activities, and in some cases activity design by end-users (e.g., DJs). We exemplify the approach with the development of 11 rock genres and 6 pop music pieces for modular I-BLOCKS, which are exhibited and in daily use at the Rock Me exhibition, and have been used at several international music events in Japan and the USA. A key finding is that professional music design is essential for the development of primitives in a musical behavior-based system, and this professional esthetics is necessary to engage the users in the activity of assembling and coordinating these “professional” musical primitives. This article describes, explores, and discusses this concept.     

Impact of nutrients on peatland GPP estimations using MODIS time series data

Time series of satellite sensor-derived data can be used in the light use efficiency (LUE) model for gross primary productivity (GPP). The LUE model and a closely related linear regression model were studied at an ombrotrophic peatland in southern Sweden. Eddy covariance and chamber GPP, incoming and reflected photosynthetic photon flux density (PPFD), field-measured spectral reflectance, and data from the Moderate Resolution Imaging Spectroradiometer (MODIS) were used in this study. The chamber and spectral reflectance measurements were made on four experimental treatments: unfertilized control (Ctrl), nitrogen fertilized (N), phosphorus fertilized (P), and nitrogen plus phosphorus fertilized (NP). For Ctrl, a strong linear relationship was found between GPP and the photosynthetically active radiation absorbed by vegetation (APAR) (R² = 0.90). The slope coefficient (ε_s, where s stands for “slope”) for the linear relationship between seasonal time series of GPP and the product of the normalized difference vegetation index (NDVI) and PPFD was used as a proxy for the light use efficiency factor (ε). There were differences in ε_s depending on the treatments with a significant effect for N compared to Ctrl (ANOVA: p = 0.042, Tukey's: p ≤ 0.05). Also, ε_s was linearly related to the cover degree of vascular plants (R² = 0.66). As a sensitivity test, the regression coefficients (ε_s and intercept) for each treatment were used to model time series of 16-day GPP from the product of MODIS NDVI and PPFD. Seasonal averages of GPP were calculated for 2005, 2006, and 2007, which resulted in up to 19% higher average GPP for the fertilization treatments compared to Ctrl. The main conclusion is that the LUE model and the regression model can be applied in peatlands but also that temporal and spatial changes in ε or the regression coefficients should be considered.     

Optimization strategies for discrete multi-material stiffness optimization

Design of composite laminated lay-ups are formulated as discrete multi-material selection problems. The design problem can be modeled as a non-convex mixed-integer optimization problem. Such problems are in general only solvable to global optimality for small to moderate sized problems. To attack larger problem instances we formulate convex and non-convex continuous relaxations which can be solved using gradient based optimization algorithms. The convex relaxation yields a lower bound on the attainable performance. The optimal solution to the convex relaxation is used as a starting guess in a continuation approach where the convex relaxation is changed to a non-convex relaxation by introduction of a quadratic penalty constraint whereby intermediate-valued designs are prevented. The minimum compliance, mass constrained multiple load case problem is formulated and solved for a number of examples which numerically confirm the sought properties of the new scheme in terms of convergence to a discrete solution.     

A conceptual framework for component context specification and representation in a metaCASE environment

A lack of design information can be a significant barrier for systems developers when developing and reusing a component. This paper tackles this problem by presenting and exemplifying the conceptual framework of component context and its hypertext representation in a metaCASE environment. It discusses the linking of contextual knowledge to components in systems analysis and design. The contextual knowledge includes the conceptual dependencies of component definition, reuse, and implementation, as well as the reasoning and rationale behind design and reuse processes. We also illustrate the hypertext approach to contextual knowledge representation that enables designers to express, record, explore, recognize, and negotiate their shared context within a metaCASE environment.