Selection of vehicle configuration: Based on weight and performance constraints

Optimal exploration of engineering systems can be guided by the principle of Value of Information (VoI), which accounts for the topological important of components, their reliability and the management costs. For series systems, in most cases higher inspection priority should be given to unreliable components. For redundant systems such as parallel systems, analysis of one-shot decision problems shows that higher inspection priority should be given to more reliable components. This paper investigates the optimal exploration of redundant systems in long-term decision making with sequential inspection and repairing. When the expected, cumulated, discounted cost is considered, it may become more efficient to give higher inspection priority to less reliable components, in order to preserve system redundancy. To investigate this problem, we develop a Partially Observable Markov Decision Process (POMDP) framework for sequential inspection and maintenance of redundant systems, where the VoI analysis is embedded in the optimal selection of exploratory actions. We investigate the use of alternative approximate POMDP solvers for parallel and more general systems, compare their computation complexities and performance, and show how the inspection priorities depend on the economic discount factor, the degradation rate, the inspection precision, and the repair cost.

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A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of System Selection for Surface Mining

Energies ◽

10.3390/en14113066 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3066

Author(s):

Michał Patyk ◽

Przemysław Bodziony ◽

Zbigniew Krysa

Keyword(s):

Decision Making ◽

Performance Assessment ◽

Multiple Criteria Decision Making ◽

Surface Mining ◽

Open Pit ◽

Mining Equipment ◽

Surface Mines ◽

Mining Conditions ◽

And Performance ◽

Selection Of

Selection and assessment of mining equipment used in open pit rock mines relies chiefly on estimates of overall exploitation cost. The rational arrangement of mining equipment and systems comprising loading machines, haul trucks and crushing plants should be preceded by a thorough analysis of technical and economic aspects, such as investment outlays and the costs of further exploitation, which largely determine the costs of mining operations and the deposit value. Additionally, the operational parameters of the mining equipment ought to be considered. In this study, a universal set of evaluation criteria has been developed, and an evaluation method has been applied for the selection of surface mining equipment and the processing system to be operated in specific mining conditions, defined by the user. The objective of this study is to develop and apply the new methodology of multi-criteria selection of open pit rock mining equipment based on multiple criteria decision-making (MCDM) procedures, to enable the optimization of loading, handling and crushing processes. The methodology, underpinned by the principles of MCDM, provides the dedicated ranking procedures, including the ELECTRE III. The applied methodology allows the alternative options (variants) to be ranked accordingly. Ultimately, a more universal methodology is developed, applicable in other surface mines where geological and mining conditions are similar. It may prove particularly useful in selection and performance assessment of mining equipment and process line configurations in mining of low-quality rock deposits. Therefore, we undertook to develop universal criteria and applications for the selection and performance assessment of process machines for surface mines, taking into account environmental aspects as well as deposit quality.

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Passthrough+

Proceedings of the ACM on Computer Graphics and Interactive Techniques ◽

10.1145/3384540 ◽

2020 ◽

Vol 3 (1) ◽

pp. 1-17

Author(s):

Gaurav Chaurasia ◽

Arthur Nieuwoudt ◽

Alexandru-Eugen Ichim ◽

Richard Szeliski ◽

Alexander Sorkine-Hornung

Keyword(s):

Real Time ◽

Video Encoding ◽

View Synthesis ◽

Performance Constraints ◽

Trade Offs ◽

Stereoscopic View ◽

Target User ◽

Spatio Temporal ◽

And Performance ◽

3D Scene

We present an end-to-end system for real-time environment capture, 3D reconstruction, and stereoscopic view synthesis on a mobile VR headset. Our solution allows the user to use the cameras on their VR headset as their eyes to see and interact with the real world while still wearing their headset, a feature often referred to as Passthrough. The central challenge when building such a system is the choice and implementation of algorithms under the strict compute, power, and performance constraints imposed by the target user experience and mobile platform. A key contribution of this paper is a complete description of a corresponding system that performs temporally stable passthrough rendering at 72 Hz with only 200 mW power consumption on a mobile Snapdragon 835 platform. Our algorithmic contributions for enabling this performance include the computation of a coarse 3D scene proxy on the embedded video encoding hardware, followed by a depth densification and filtering step, and finally stereoscopic texturing and spatio-temporal up-sampling. We provide a detailed discussion and evaluation of the challenges we encountered, as well as algorithm and performance trade-offs in terms of compute and resulting passthrough quality.;AB@The described system is available to users as the Passthrough+ feature on Oculus Quest. We believe that by publishing the underlying system and methods, we provide valuable insights to the community on how to design and implement real-time environment sensing and rendering on heavily resource constrained hardware.

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GENETIC DIVERGENCE AND MORPHO-AGRONOMIC PERFORMANCE OF JATROPHA CURCAS L. CLONES FOR SELECTION OF CLONAL VARIETIES

Revista Caatinga ◽

10.1590/1983-21252016v29n408rc ◽

2016 ◽

Vol 29 (4) ◽

pp. 841-849

Author(s):

ADRIANA QUEIROZ DE ALMEIDA ◽

SIMONE ALVES SILVA ◽

VANESSA DE OLIVEIRA ALMEIDA ◽

DEOCLIDES RICARDO DE SOUZA ◽

GILMARA DE MELO ARAÚJO

Keyword(s):

Genetic Diversity ◽

Multivariate Analysis ◽

Plant Height ◽

Genetic Divergence ◽

Morphological Characterization ◽

Stem Diameter ◽

Agronomic Performance ◽

And Performance ◽

Lower Contribution ◽

Selection Of

ABSTRACT The knowledge about genetic diversity of jatropha crop is important for genetic conservation resources and breeding of this species. The aim of this study was to evaluate the genetic diversity and performance of jatropha clones through morphological characterization to selection of clonal varieties for biofuels production. The clones were obtained through shoot cuttings from previous selection in a population of half-sibs progenies. The morphoagronomic analyses of clones was carried out at 180 days after transplantation and were evaluated plant height, stem diameter, number of primary branches and number of secondary branches, number of bunches and number of fruits per plant. Evaluating clones performance, significant results were found for the number of secondary branches. About analysis of genetic diversity, the measures of dissimilarity genetic varied from 0.62 to 13.11, this way, the UFRBPR14 and UFRBPR15 clones were more divergent. The Tocher method was efficient to verify formation of four groups. The characteristics that most contributed to the divergence among clones were branches number, height and number of bunches, and, stem diameter had lower contribution. The jatropha clones differed only in the secondary branches number and multivariate analysis showed divergence among the jatropha clones with formation of four groups. Also, branches number, plant height and number of bunches were characteristic that contributed to genetic divergence.

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Derivation and Performance of Standardized Enhanced Liver Fibrosis (ELF) Test Thresholds for the Detection and Prognosis of Liver Fibrosis

The Journal of Applied Laboratory Medicine ◽

10.1373/jalm.2018.027359 ◽

2019 ◽

Vol 3 (5) ◽

pp. 815-826 ◽

Cited By ~ 9

Author(s):

James Day ◽

Preya Patel ◽

Julie Parkes ◽

William Rosenberg

Keyword(s):

Liver Fibrosis ◽

Delphi Panel ◽

Test Results ◽

Hazard Ratios ◽

Test Thresholds ◽

And Performance ◽

Using Data ◽

Relationship Of ◽

The Relationship ◽

Selection Of

Abstract Introduction Noninvasive tests are increasingly used to assess liver fibrosis and determine prognosis but suggested test thresholds vary. We describe the selection of standardized thresholds for the Enhanced Liver Fibrosis (ELF) test for the detection of liver fibrosis and for prognostication in chronic liver disease. Methods A Delphi method was used to identify thresholds for the ELF test to predict histological liver fibrosis stages, including cirrhosis, using data derived from 921 patients in the EUROGOLF cohort. These thresholds were then used to determine the prognostic performance of ELF in a subset of 457 patients followed for a mean of 5 years. Results The Delphi panel selected sensitivity of 85% for the detection of fibrosis and >95% specificity for cirrhosis. The corresponding thresholds were 7.7, 9.8, and 11.3. Eighty-five percent of patients with mild or worse fibrosis had an ELF score ≥7.7. The sensitivity for cirrhosis of ELF ≥9.8 was 76%. ELF ≥11.3 was 97% specific for cirrhosis. ELF scores show a near-linear relationship with Ishak fibrosis stages. Relative to the <7.7 group, the hazard ratios for a liver-related outcome at 5 years were 21.00 (95% CI, 2.68–164.65) and 71.04 (95% CI, 9.4–536.7) in the 9.8 to <11.3 and ≥11.3 subgroups, respectively. Conclusion The selection of standard thresholds for detection and prognosis of liver fibrosis is described and their performance reported. These thresholds should prove useful in both interpreting and explaining test results and when considering the relationship of ELF score to Ishak stage in the context of monitoring.

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Entrepreneurial Mindset and Performance of Small and Medium Scale Enterprises in Makurdi Metropolis, Benue State-Nigeria

International Journal of Innovation ◽

10.5585/iji.v6i2.223 ◽

2018 ◽

Vol 6 (2) ◽

pp. 124-146 ◽

Cited By ~ 3

Author(s):

Emmanuel Lubem Asenge ◽

Hembadoon Sarah Diaka ◽

Alexander Terna Soom

Keyword(s):

Social Sciences ◽

Risk Taking ◽

Sampling Method ◽

Critical Factor ◽

Major Effect ◽

Policy Makers ◽

Medium Scale ◽

Business Opportunities ◽

And Performance ◽

Selection Of

Many studies indicates that entrepreneurial mindset is a critical factor in the accumulation, evaluation and selection of the knowledge which can lead an individual into potential business opportunities thereby enhancing entrepreneurial outcomes such as firm performance. This study examined the effect of entrepreneurial mindset on the performance of small and medium scale enterprises in Benue State. The focus of the research was to measure the entrepreneurs’ mindset exhibited through innovativeness, creativity, business alertness and risk taking and how these attributes contributed to the performance of SMEs. The research focused on a population of 650 small and medium scale enterprises based in Makurdi metropolis. A questionnaire was used to collect data from a sample of 250 SMEs in Makurdi metropolis which were selected through stratified random sampling method. Collected data were analyzed using descriptive and inferential statistics with the aid of Statistical Package for Social Sciences (SPSS). Correlation and multiple regression analysis were employed to analyse the data and test the hypotheses. The study revealed that innovativeness, creativity, business alertness and risk taking were significant in affecting performance of SMEs. The study concluded that entrepreneurial mindset or lack of it has a major effect on SMEs performance and if any economy is bended towards development and growth, it would have to embrace this concept. It recommended that all the policy makers and all stake holders should re-strategize and create forums that can promote entrepreneurial mindset among the existing and potential entrepreneurs.

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Analysis of the Application of Distributed Propulsion to the AOS H2 Motor Glider

Journal of KONES ◽

10.2478/kones-2019-0036 ◽

2019 ◽

Vol 26 (2) ◽

pp. 85-92

Author(s):

Michał Kuźniar ◽

Marek Orkisz

Keyword(s):

Combustion Engine ◽

Electric Motors ◽

Flight Duration ◽

Electric System ◽

University Of Technology ◽

Distributed Propulsion ◽

Small Set ◽

And Performance ◽

Fitting In ◽

Selection Of

Abstract The paper describes the selection of a distributed propulsion for the AOS H2 motor glider (selection of engines, their number, and propellers) and determination of its performance. This analysis is related to the research conducted on environment friendly and hybrid propulsions in various research centres. The main aim of the analyses conducted is to increase the performance of vehicles powered by electric motors. The batteries have a low density of energy, i.e. the ratio of mass to cumulated energy. Instead of a battery set, it is possible to apply a hybrid-electric system, where the combustion engine works as a generator or an electric-hydrogen generator, where the hydrogen cell supports a small set of batteries. One of such flying vehicles, fitting in this trend, is the AOS H2 motor glider built at the Rzeszow University of Technology in cooperation with other universities. It is a hybrid aircraft, equipped with a hydrogen cell, which together with a set of batteries is a source of electricity for the Emrax 268 electric motor. To increase the vehicle's performance (the range and flight duration), it is possible to use a distributed propulsion. This type of propulsion consists in placing many electric motors along the wingspan of the aircraft. Appropriate design of such a system (propeller diameters, engine power, number of engines) can improve the aerodynamic and performance parameters of the airframe. An analysis of the performance for the selected flight trajectory for this propulsion variant was conducted and compared to the performance of the AOS H2 motor glider equipped with traditional propulsion. The consumption of hydrogen was also determined for both systems. The results obtained were presented in the diagrams and discussed in the conclusions.

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Hiring an External Advisor Hydrology at Water Board De Dommel

Journal for the Advancement of Performance Information and Value ◽

10.37265/japiv.v3i1.110 ◽

2011 ◽

Vol 3 (1) ◽

pp. 112

Author(s):

Bas Plehn

Keyword(s):

The Netherlands ◽

Paradigm Shift ◽

Selection Process ◽

Professional Services ◽

Water Board ◽

Best Value ◽

And Performance ◽

Design Firms ◽

Selection Of

Best value PIPS has been introduced in the Netherlands in the procurement of construction systems. The Water Board De Dommel utilized best value PIPS to select engineering consultant services. The test differed from other Dutch tests in that the PIPS process used the pre-award phase before the award phase. The best value selection of engineers also proposes that design firms can compete on value (price and performance). The engineering selection process was much closer to the original BVP/PIPS than the construction phases. The major lesson learned is the BVP/PIPS is a paradigm shift. The success of the test led to the recommendation of more professional services using BVP/PIPS.

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SMALL LOCAL BANKS IN SOCIAL MEDIA: CONVERTING SOCIAL RESPONSIBILITY INTO CONSUMER ATTENTION AND ECONOMIC OUTCOMES

Journal of Business Economics and Management ◽

10.3846/jbem.2021.14721 ◽

2021 ◽

Vol 22 (4) ◽

pp. 958-987

Author(s):

Łukasz Kozłowski ◽

Iwa Kuchciak

Keyword(s):

Social Media ◽

Performance Indicators ◽

Research Strategy ◽

Economic Outcomes ◽

Careful Selection ◽

Socially Responsible ◽

Thematic Content ◽

Consumer Attention ◽

And Performance ◽

Selection Of

This study investigates the thematic content of Facebook disclosures from small local banks (SLBs) in Poland, their impact on Facebook users’ attention, and the economic repercussions for SLBs’ growth and performance. Based on the specificity of SLBs and existing empirical evidence, it hypothesizes that disclosures on socially responsible issues increase customer attention and can be converted into economic outcomes. To verify the posed hypotheses, several data sources are employed, including a hand-collected dataset describing the specificity of Facebook activities from SLBs in Poland between 2010 and 2017, and a stepwise research strategy is implemented. First, models of SLBs’ Facebook disclosures are distinguished. Second, the kinds of social media activities that ensure SLBs’ popularity among Facebook users are determined. Third, the thematic content of SLBs’ Facebook disclosures is related to their growth or performance indicators. The collected evidence shows that SLBs, as expected, can garner attention if they concentrate their social media activities mainly on socially responsible or local issues. Moreover, socially responsible activities and economic outcomes are generally not opposed, but only a careful selection of specific social disclosures can effectively exploit social media to the economic advantage of SLBs.

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