Search results for "Performance evaluation"
showing 10 items of 44 documents
Production of written French skills by first generation immigrants in working age
2013
This paper aims to identify factors explaining the level of proficiency in written French by immigrants in working age, knowing that few research has been conducted in France on this issue. The originality of this paper is the stochastic production frontier model to explain the scores in written French and the productive performance of immigrants (considered as producers of their own skills). The main results show that mother tongue, age at immigration, social life and mother's diploma are elements which influence the effectiveness of this production. They play a crucial role in the ability of immigrants to use effectively their duration of stay in France and their length of education, cons…
Nomograph for rapid technical and economic assessment of solar thermal systems for DHW production
2012
Abstract Different types of tools, software and empirical methods to size and assess the performance of solar thermal systems are available today. A quick and easy-to-use graphical tool is proposed here. It is based on a single diagram, called a nomograph, which embeds technical and economic information, allowing the optimisation of the size and performance of a solar thermal system starting from the main input parameters, such as the specific costs of the system and the auxiliary fuel. The optimal surfaces are calculated as a function of the fuel cost through several regressions made on data from the application of the F-Chart method for a set of system configurations. The authors have fou…
Communication-Efficient Federated Learning in Channel Constrained Internet of Things
2022
Federated learning (FL) is able to utilize the computing capability and maintain the privacy of the end devices by collecting and aggregating the locally trained learning model parameters while keeping the local personal data. As the most widely-used FL framework,Jederated averaging (FedAvg) suffers an expensive communication cost especially when there are large amounts of devices involving the FL process. Moreover, when considering asynchronous FL, the slowest device becomes the bottleneck for the cask effect and determines the overall latency. In this work, we propose a communication-efficient federated learning framework with partial model aggregation (CE-FedPA) algorithm to utilize comp…
The Investment Performance of U.S. Islamic Mutual Funds
2020
Islamic investment funds have become increasingly important because of high demand from many investors, including those outside the Muslim investment community. This article compares the performance and risk sensitivity of Islamic mutual funds in the United States with that of their conventional peers. This article also analyzes the performance of Islamic funds, and compares this performance with that of socially responsible investment (SRI) mutual funds. Capital Asset Pricing Model (CAPM)-based methodology was used for the analysis. The results suggest that over the entire study period (1987&ndash
A Performance Evaluation of Fusion Techniques for Spatio-Temporal Saliency Detection in Dynamic Scenes
2013
International audience; Visual saliency is an important research topic in computer vision applications, which helps to focus on regions of interest instead of processing the whole image. Detecting visual saliency in still images has been widely addressed in literature. However, visual saliency detection in videos is more complicated due to additional temporal information. A spatio-temporal saliency map is usually obtained by the fusion of a static saliency map and a dynamic saliency map. The way both maps are fused plays a critical role in the accuracy of the spatio-temporal saliency map. In this paper, we evaluate the performances of different fusion techniques on a large and diverse datas…
Automatic social distance estimation for photographic studies: Performance evaluation, test benchmark, and algorithm
2022
The social distancing regulations introduced to slow down the spread of COVID-19 virus directly affect a basic form of non-verbal communication, and there may be longer term impacts on human behavior and culture that remain to be analyzed in proxemics studies. To obtain quantitative results for such studies, large media and/or personal photo collections must be analyzed. Several social distance monitoring methods have been proposed for safety purposes, but they are not directly applicable to general photo collections with large variations in the imaging setup. In such studies, the interest shifts from safety to analyzing subtle differences in social distances. Currently, there is no suitabl…
Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods
2022
Interactive methods support decision makers in finding the most preferred solution in multiobjective optimization problems. They iteratively incorporate the decision maker's preference information to find the best balance among conflicting objectives. Several interactive methods have been developed in the literature. However, choosing the most suitable interactive method for a given problem can prove challenging and appropriate indicators are needed to compare interactive methods. Some indicators exist for a priori methods, where preferences are provided at the beginning of the solution process. We present some numerical experiments that illustrate why these indicators are not suitable for …
Performance Evaluation for a Sustainable Supply Chain Management System in the Automotive Industry Using Artificial Intelligence
2020
Increasing the sustainability of a system can be achieved by evaluating the system, identifying the issues and their root cause and solving them. Performance evaluation translates into key performance indicators (KPIs) with a high impact on increasing overall efficacy and efficiency. As the pool of KPIs has increased over time in the context of evaluating the supply chain management (SCM) system&rsquo
Promotions and Earnings – Gender or Merit? Evidence from Longitudinal Personnel Data
2017
This study examines the determinants of promotions, performance evaluations and earnings using unique longitudinal data from the personnel records of a large university. The study focuses on the role of gender in remuneration using, first, information on the complexity ratings of job tasks to define promotions on job ladders and, second, information on objective individual productivity. The study finds that individual research productivity was an important determinant of promotions and earnings. The results indicate that gender has no effect on the probability of being promoted, conditional on productivity, nor does it play a role in the performance evaluation of employees. Furthermore, the…
Proton Direct Ionization in Sub-Micron Technologies : Test Methodologies and Modelling
2023
Two different low energy proton (LEP) test methods, one with quasi-monoenergetic and the other with very wide proton beam energy spectra, have been studied. The two test methodologies have been applied to devices that were suggested from prior heavy-ion tests to be sensitive to proton direct ionization (PDI). The advantages and disadvantages of the two test methods are discussed. The test method using quasi-monoenergetic beams requires device preparation and high energy resolution beams, but delivers results that can be interpreted directly and can be used in various soft error rate (SER) calculation methods. The other method, using a heavily degraded high energy proton beam, requires littl…