A CFD study of biomass pyrolysis in a downer reactor equipped with a novel gas-solid separator-II thermochemical performance and products

A Eulerian-Eulerian CFD model was used to investigate the fast pyrolysis of biomass in a downer reactor equipped with a novel gas-solid separation mechanism. The highly endothermic pyrolysis reaction was assumed to be entirely driven by an inert solid heat carrier (sand). A one-step global pyrolysis reaction, along with the equations describing the biomass drying and heat transfer, was implemented in the hydrodynamic model presented in part I of this study (Fuel Processing Technology, V126, 366-382). The predictions of the gas-solid separation efficiency, temperature distribution, residence time and the pyrolysis product yield are presented and discussed. For the operating conditions considered, the devolatilisation efficiency was found to be above 60% and the yield composition in mass fraction was 56.85% bio-oil, 37.87% bio-char and 5.28% non-condensable gas (NCG). This has been found to agree reasonably well with recent relevant published experimental data. The novel gas-solid separation mechanism allowed achieving greater than 99.9% separation efficiency and < 2 s pyrolysis gas residence time. The model has been found to be robust and fast in terms of computational time, thus has the great potential to aid in future design and optimisation of the biomass fast pyrolysis process.

Clinical evaluation of a novel test strip technology for blood glucose monitoring:accuracy at hypoglycaemic glucose levels

Aim: To evaluate OneTouch® Verio™ test strip performance at hypoglycaemic blood glucose (BG) levels (<3.9mmol/L [<70mg/dL]) at seven clinical studies. Methods: Trained clinical staff performed duplicate capillary BG monitoring system tests on 700 individuals with type 1 and type 2 diabetes using blood from a single fingerstick lancing. BG reference values were obtained using a YSI 2300 STAT™ Glucose Analyzer. The number and percentage of BG values within ±0.83. mmol/L (±15. mg/dL) and ±0.56. mmol/L (±10. mg/dL) were calculated at BG concentrations of <3.9. mmol/L (<70. mg/dL), <3.3. mmol/L (<60. mg/dL), and <2.8. mmol/L (<50. mg/dL). Results: At BG concentrations <3.9. mmol/L (<70. mg/dL), 674/674 (100%) of meter results were within ±0.83. mmol/L (±15. mg/dL) and 666/674 (98.8%) were within ±0.56. mmol/L (±10. mg/dL) of reference values. At BG concentrations <3.3. mmol/L (<60. mg/dL), and <2.8. mmol/L (<50. mg/dL), 358/358 (100%) and 270/270 (100%) were within ±0.56. mmol/L (±10. mg/dL) of reference values, respectively. Conclusion: In this analysis of data from seven independent studies, OneTouch Verio test strips provide highly accurate results at hypoglycaemic BG levels. © 2012 Elsevier Ireland Ltd.

Learning Technology in Scheduling Based on the Mixed Graphs

We propose the adaptive algorithm for solving a set of similar scheduling problems using learning technology. It is devised to combine the merits of an exact algorithm based on the mixed graph model and heuristics oriented on the real-world scheduling problems. The former may ensure high quality of the solution by means of an implicit exhausting enumeration of the feasible schedules. The latter may be developed for certain type of problems using their peculiarities. The main idea of the learning technology is to produce effective (in performance measure) and efficient (in computational time) heuristics by adapting local decisions for the scheduling problems under consideration. Adaptation is realized at the stage of learning while solving a set of sample scheduling problems using a branch-and-bound algorithm and structuring knowledge using pattern recognition apparatus.

Performance enhancement of asymmetric filtered 40 Gb/s carrier suppressed return to zero-differential phase shift keying receiver in a 50 GHz grid

The authors present the impact of asymmetric filtering of strong (e.g. 35 GHz) optical filters on the performance of 42.7 Gb/s 67% (carrier suppressed return to zero)-differential phase shift keying systems. The performance is examined (in an amplified spontaneous emission (ASE) noise-limited regime and in the presence of chromatic dispersion) when offsetting the filter at the receiver by substantial amounts via balanced, constructive and destructive single-ended detections. It is found that with a slight offset (vestigial side band) or an offset of almost half of the modulation frequency (single-side band), there is a significant improvement in the calculated 'Q'. © The Institution of Engineering and Technology 2013.

Enhancing the performance of intelligent control systems in the face of higher levels of complexity and uncertainty

Modern advances in technology have led to more complex manufacturing processes whose success centres on the ability to control these processes with a very high level of accuracy. Plant complexity inevitably leads to poor models that exhibit a high degree of parametric or functional uncertainty. The situation becomes even more complex if the plant to be controlled is characterised by a multivalued function or even if it exhibits a number of modes of behaviour during its operation. Since an intelligent controller is expected to operate and guarantee the best performance where complexity and uncertainty coexist and interact, control engineers and theorists have recently developed new control techniques under the framework of intelligent control to enhance the performance of the controller for more complex and uncertain plants. These techniques are based on incorporating model uncertainty. The newly developed control algorithms for incorporating model uncertainty are proven to give more accurate control results under uncertain conditions. In this paper, we survey some approaches that appear to be promising for enhancing the performance of intelligent control systems in the face of higher levels of complexity and uncertainty.

Comparison of the measurement performance of high precision multi-axis metal cutting machine tools

High precision manufacturers continuously seek out disruptive technologies to improve the quality, cost, and delivery of their products. With the advancement of machine tool and measurement technology many companies are ready to capitalise on the opportunity of on-machine measurement (OMM). Coupled with business case, manufacturing engineers are now questioning whether OMM can soon eliminate the need for post-process inspection systems. Metrologists will however argue that the machining environment is too hostile and that there are numerous process variables which need consideration before traceable measurement on-the-machine can be achieved. In this paper we test the measurement capability of five new multi-axis machine tools enabled as OMM systems via on-machine probing. All systems are tested under various operating conditions in order to better understand the effects of potentially significant variables. This investigation has found that key process variables such as machine tool warm-up and tool-change cycles can have an effect on machine tool measurement repeatability. New data presented here is important to many manufacturers whom are considering utilising their high precision multi-axis machine tools for both the creation and verification of their products.

Experimental comparison of dynamic tracking performance of iGPS and laser tracker

External metrology systems are increasingly being integrated with traditional industrial articulated robots, especially in the aerospace industries, to improve their absolute accuracy for precision operations such as drilling, machining and jigless assembly. While currently most of the metrology assisted robotics control systems are limited in their position update rate, such that the robot has to be stopped in order to receive a metrology coordinate update, some recent efforts are addressed toward controlling robots using real-time metrology data. The indoor GPS is one of the metrology systems that may be used to provide real-time 6DOF data to a robot controller. Even if there is a noteworthy literature dealing with the evaluation of iGPS performance, there is, however, a lack of literature on how well the iGPS performs under dynamic conditions. This paper presents an experimental evaluation of the dynamic measurement performance of the iGPS, tracking the trajectories of an industrial robot. The same experiment is also repeated using a laser tracker. Besides the experiment results presented, this paper also proposes a novel method for dynamic repeatability comparisons of tracking instruments. © 2011 Springer-Verlag London Limited.

Model and performance of a no-reference quality assessment metric for video streaming

Video streaming via Transmission Control Protocol (TCP) networks has become a popular and highly demanded service, but its quality assessment in both objective and subjective terms has not been properly addressed. In this paper, based on statistical analysis a full analytic model of a no-reference objective metric, namely pause intensity (PI), for video quality assessment is presented. The model characterizes the video playout buffer behavior in connection with the network performance (throughput) and the video playout rate. This allows for instant quality measurement and control without requiring a reference video. PI specifically addresses the need for assessing the quality issue in terms of the continuity in the playout of TCP streaming videos, which cannot be properly measured by other objective metrics such as peak signal-to-noise-ratio, structural similarity, and buffer underrun or pause frequency. The performance of the analytical model is rigidly verified by simulation results and subjective tests using a range of video clips. It is demonstrated that PI is closely correlated with viewers' opinion scores regardless of the vastly different composition of individual elements, such as pause duration and pause frequency which jointly constitute this new quality metric. It is also shown that the correlation performance of PI is consistent and content independent. © 2013 IEEE.

Performance management and high performance work practices in emerging markets

In this chapter, we discuss performance management systems (PMSs) and high performance work systems (HPWSs) in emerging economies. We start by discussing PMSs, with specific emphasis on PMSs in global organizations. We follow this up with an introduction of HPWSs, and then discuss PMSs and HPWSs in emerging economies. While the list of emerging economies keeps changing, and is rather long, as one might expect, in this chapter we have concentrated on five key emerging economies – China, India, Mexico, South Korea, and Turkey. Performance management is the process through which organizations set goals, determine standards, assign and evaluate work, coach and give feedback, and distribute rewards (Fletcher, 2001). In this connection, organizations all over the world face the challenge of how best to manage performance, including finding ways to motivate employees to sustain high levels of performance. In other words, organizations must develop and implement PMSs that are appropriate for their environment in such a way that high levels of performance can be achieved and sustained over time (DeNisi, Varma and Budhwar, 2008). While all organizations need to address these issues, the way a firm decides to go about addressing these issues is dependent on its location and context. In other words, differences in local norms, culture, law, and technology, make it critical that organizations develop and/or adapt techniques, policies and practices that are appropriate to the setting (see for example, Hofstede, 1993).

Performance analysis of polymer optical fibre based Fabry-Perot sensor formed by two uniform Bragg gratings

The stress sensitivity of polymer optical fibre (POF) based Fabry-Perot sensors formed by two uniform Bragg gratings with finite dimensions is investigated. POF has received high interest in recent years due to its different material properties compared to its silica counterpart. Biocompatibility, a higher failure strain and the highly elastic nature of POF are some of the main advantages. The much lower Young’s modulus of polymer materials compared to silica offers enhanced stress sensitivity to POF based sensors which renders them great candidates for acoustic wave receivers and any kind of force detection. The main drawback in POF technology is perhaps the high fibre loss. In a lossless fibre the sensitivity of an interferometer is proportional to its cavity length. However, the presence of the attenuation along the optical path can significantly reduce the finesse of the Fabry-Perot interferometer and it can negatively affect its sensitivity at some point. The reflectivity of the two gratings used to form the interferometer can be also reduced as the fibre loss increases. In this work, a numerical model is developed to study the performance of POF based Fabry-Perot sensors formed by two uniform Bragg gratings with finite dimensions. Various optical and physical properties are considered such as grating physical length, grating effective length which indicates the point where the light is effectively reflected, refractive index modulation of the grating, cavity length of the interferometer, attenuation and operating wavelength. Using this model, we are able to identify the regimes in which the PMMA based sensor offer enhanced stress sensitivity compared to silica based one.

Performance analysis of IEEE 802.11 cognitive radio ad hoc networks

IEEE 802.11 standard is the dominant technology for wireless local area networks (WLANs). In the last two decades, the Distributed coordination function (DCF) of IEEE 802.11 standard has become the one of the most important media access control (MAC) protocols for mobile ad hoc networks (MANETs). The DCF protocol can also be combined with cognitive radio, thus the IEEE 802.11 cognitive radio ad hoc networks (CRAHNs) come into being. There were several literatures which focus on the modeling of IEEE 802.11 CRAHNs, however, there is still no thorough and scalable analytical models for IEEE 802.11 CRAHNs whose cognitive node (i.e., secondary user, SU) has spectrum sensing and possible channel silence process before the MAC contention process. This paper develops a unified analytical model for IEEE 802.11 CRAHNs for comprehensive MAC layer queuing analysis. In the proposed model, the SUs are modeled by a hyper generalized 2D Markov chain model with an M/G/1/K model while the primary users (PUs) are modeled by a generalized 2D Markov chain and an M/G/1/K model. The performance evaluation results show that the quality-of-service (QoS) of both the PUs and SUs can be statistically guaranteed with the suitable settings of duration of channel sensing and silence phase in the case of under loading.

Solar stills:a comprehensive review of designs, performance and material advances

The demand for fresh water production is growing day by day with the increase in world population and with industrial growth. Use of desalination technology is increasing to meet this demand. Among desalination technologies, solar stills require low maintenance and are readily affordable; however their productivity is limited. This paper aims to give a detailed review about the various types of solar stills, covering passive and active designs, single- and multi-effect types, and the various modifications for improved productivity including reflectors, heat storage, fins, collectors, condensers, and mechanisms for enhancing heat and mass transfer. Photovoltaic-thermal and greenhouse type solar stills are also covered. Material advances in the area of phase change materials and nanocomposites are very promising to enhance further performance; future research should be carried out in these and other areas for the greater uptake of solar still technology.

Logisztikai folyamatok informatikai támogatottsága Magyarországon – fókuszban a disztribúciós logisztika = Backing logistics processes with information technology – current practice and improvement possibilities at Hungarian companies

Az elemzés egy, a Budapesti Corvinus Egyetem (BCE) Logisztika és Ellátási Lánc Menedzsment Tanszéke által végzett kérdőíves felmérés eredményeit foglalja össze. A kutatás alapvető célja, hogy felmérje és bemutassa a hazai vállalatok logisztikai, ezen belül is elsősorban disztribúciós logisztikai folyamatainak informatikai oldalról történő jelenlegi támogatottsági szintjét és a következő két-három év e téren várható fejlesztési irányait. A kutatás szisztematikusan kitért a logisztikai információs rendszer valamennyi alrendszerére, vizsgálta a különböző azonosítási megoldások elterjedtségét, a vállalatirányítási rendszer, illetve egyes moduljainak használatával kapcsolatban kialakult gyakorlatot, de a logisztika stratégiai döntéseinek informatikai támogatottságát és a használt kommunikációs technikákat is. Összességében megállapíthatjuk, hogy a logisztikai információs rendszerek fejlettségi szintje ma Magyarországon közepesnek mondható, fontos megjegyezni azonban, hogy a KKV szektor e téren is jelentős lemaradással rendelkezik. Ez természetesen azt is jelent, hogy az informatikai eszközök alkalmazásának kiterjesztésével még jelentős teljesítményjavulás érhető el. = The essay summarizes the results of a survey carried out by Corvinus University of Budapest, Department of Logistics and Supply Chain Management. Aim of the survey was to analyze and describe the actual Hungarian company practice regarding the IT support of logistics – and particularly distribution – processes, and the plans of developing it within the next 2-3 years. Survey has systematically covered all fields of logistics information system, analyzed the prevalence of different identification techniques and systems. On the whole we appoint that logistics information systems applied by Hungarian companies are on satisfactory level; however it is important to tell that SME companies are in huge lag. This means that improving logistics information system hides the possibility of considerable performance development.

Logisztikai folyamatok informatikai támogatottsága Magyarországon – Fókuszban a disztribúciós logisztika (Supporting logistics processes by information technology – current practice and improvement possibilities at Hungarian companies)

Az elemzés egy a Budapesti Corvinus Egyetem (BCE) Logisztika és Ellátási Lánc Menedzsment Tanszéke által végzett kérdőíves felmérés eredményeit foglalja össze. A kutatás alapvető célja, hogy felmérje és bemutassa a hazai vállalatok logisztikai, ezen belül is elsősorban disztribúciós logisztikai folyamatainak informatikai oldalról történő jelenlegi támogatottsági szintjét és a következő két-három év e téren várható fejlesztési irányait. A kutatás szisztematikusan kitért a logisztikai információs rendszer valamennyi alrendszerére, vizsgálta a különböző azonosítási megoldások elterjedtségét, a vállalatirányítási rendszer, illetve egyes moduljainak használatával kapcsolatban kialakult gyakorlatot, de a logisztika stratégiai döntéseinek informatikai támogatottságát és a használt kommunikációs technikákat is. Összességében megállapítható, hogy a logisztikai információs rendszerek fejlettségi szintje ma Magyarországon közepes, fontos megjegyezni azonban, hogy a kkv-szektor e téren is jelentősen lemaradt. Ez természetesen azt is jelenti, hogy az informatikai eszközök alkalmazásának kiterjesztésével még komoly teljesítményjavulás érhető el. ________ The essay summarizes the results of a survey carried out by Corvinus University of Budapest, Department of Logistics and Supply Chain Management. Aim of the survey was to analyze and describe the actual Hungarian company practice regarding the IT support of logistics – and particularly distribution – processes, and the plans to develop it within the next 2-3 years. Survey has systematically overviewed all fields of logistics information system, analyzed the prevalence of different identification techniques and systems. Generally the authors appoint that logistics information systems applied by Hungarian companies are on satisfactory level; however it is important to tell that SME companies are in huge lag. This means that improving logistics information system hides the possibility of considerable performance development.

Innovation Management in Central and Eastern Europe: Technology Perspectives and EU Policy Implications

The purpose of this study is to investigate empirically the role of innovation activity in Central and Eastern Europea (CEE). We also identified those internal and external factors, which might cause improvements in innovation performance of CEE companies. Our main focus was on technology-based innovations within the healthcare industry. We applied qualitative research methods. Our findings demonstrate that CEE companies within the healthcare industry have significant contribution to European Union’s innovation performance. We found that key success factors of these organizations are based on four elements: knowledge management, access to financial resources, managing formal and informal networks, as well as achieving synergies between technological and non-technological innovations.