Type-Based Amortized Resource Analysis with Integers and Arrays

2014 ◽  
pp. 152-168 ◽  
Author(s):  
Jan Hoffmann ◽  
Zhong Shao
Keyword(s):  
Resource Analysis

Resource Analysis in Emergency Department Using Simulation-based Framework

2013 ◽  
Author(s):  
Chawalit Jeenanunta ◽  
◽  
Sariya Issrangkura na ayudhya ◽  
Prangvipha Doungraksa ◽  
Chaleeporn Sereewattanapong ◽  
...  
Keyword(s):  
Emergency Department ◽  
Resource Analysis ◽  
Simulation Based

Resource analysis method for multi-service network based on queuing network

2009 ◽  
Vol 29 (9) ◽  
pp. 2424-2427
Author(s):  
Ying ZHANG ◽  
Li-ru ZHAO ◽  
Xin-liang GU
Keyword(s):  
Analysis Method ◽  
Queuing Network ◽  
Resource Analysis ◽  
Service Network

scholarly journals Static Profiling and Optimization of Ethereum Smart Contracts using Resource Analysis

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Jesus Correas ◽  
Pablo Gordillo ◽  
Guillermo Roman-Diez
Keyword(s):  
Smart Contracts ◽  
Resource Analysis

Hub height optimisation of commercial WTGs based on accurate wind resource analysis

2021 ◽  
pp. 0309524X2110227
Author(s):  
Kyle O Roberts ◽  
Nawaz Mahomed
Keyword(s):  
Power Generation ◽  
Wind Turbine ◽  
Wind Power ◽  
Capacity Factor ◽  
Resource Analysis ◽  
Wind Speeds ◽  
Unique Maximum ◽  
Wind Measurements ◽  
Generation Capacity ◽  
Wind Resource

Wind turbine selection and optimal hub height positioning are crucial elements of wind power projects. However, in higher class wind speeds especially, over-exposure of wind turbines can lead to a reduction in power generation capacity. In this study, wind measurements from a met mast were validated according to specifications issued by IRENA and NREL. As a first step, it is shown that commercial WTGs from a database may be matched to the wind class and turbulence intensity. Secondly, a wind turbine selection algorithm, based on maximisation of capacity factor, was implemented across the range of WTGs. The selected WTGs were further exposed to an iterative algorithm using pointwise air density and wind shear coefficients. It is shown that a unique maximum capacity factor, and hence wind power generation, exists for a wind turbine, premised on its eventual over-exposure to the wind resource above a certain hub height.

The fresh waters of Shetland: I. The strategy of a synoptic resource analysis

1985 ◽  
Vol 101 (3) ◽  
pp. 150-156 ◽  
Author(s):  
P. S. Maitland ◽  
R. H. Britton
Keyword(s):  
Resource Analysis ◽  
Fresh Waters

scholarly journals Business founding in biotech industry: process and features

2020 ◽  
Vol 43 (10) ◽  
pp. 1183-1219
Author(s):  
Biagio Ciao
Keyword(s):  
Knowledge Sharing ◽  
Risk Perceptions ◽  
Process Model ◽  
Inductive Method ◽  
Resource Analysis ◽  
Private Companies ◽  
Content Type ◽  
The Public ◽  
Biotech Industry ◽  
Financial Impacts

Purpose This paper aims to construct a process model of business founding in the biotech industry. Design/methodology/approach An inductive method is used, and five case studies analyzed. Data are coded by applying Gioia’s method. Findings Aspirant entrepreneurs conduct resource analysis and industry analysis to formulate research and development targets. They perform transactions and networks because they require resources, and they then deploy and coordinate these resources. Such coordination generates activities with social and financial impacts. Research limitations/implications The results are specific to the biotech industry. A future study could examine business founding processes in other industries (e.g. entertainment, fashion, public utilities and sport). Additionally, the paper argues that during the founding process entrepreneurs show little concern for knowledge-sharing risk, as they want to collaborate to implement their ideas. Quantitative papers could test the consequences of such behavior. Practical implications The process model provides insights into aspirant founders on how to start a business in the biotech industry. Originality/value The paper shows: the differences between the founding process in the biotech industry versus other industries; and the shape of the Bower–Burgelman model in the context of biotech business founding. The paper delineates how private companies discover competencies in the public sector; a model of technology transfer from public to private sector; entrepreneurs’ absence of risk perceptions regarding knowledge-sharing during founding; and how conferences can serve as vehicles for benchmarking in networking.

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