Search results for "programming."
showing 10 items of 3035 documents
Hierarchically nested factor model from multivariate data
2005
We show how to achieve a statistical description of the hierarchical structure of a multivariate data set. Specifically we show that the similarity matrix resulting from a hierarchical clustering procedure is the correlation matrix of a factor model, the hierarchically nested factor model. In this model, factors are mutually independent and hierarchically organized. Finally, we use a bootstrap based procedure to reduce the number of factors in the model with the aim of retaining only those factors significantly robust with respect to the statistical uncertainty due to the finite length of data records.
A Little Bird Told Me: Discovering KPIs from Twitter Data
2020
The goal of our research and experiments is to find the definitions and values of key performance indicators (KPIs) in unstructured text. The direct access to opinions of customers served as a motivating factor for us to choose Twitter data for our experiments. For our case study, we have chosen the restaurant business domain. As in the other business domains, KPIs often serve as a solution for identification of current problems. Therefore, it is essential to learn which criteria are important to restaurant guests. The mission of our Proof-of-Concept KPI discovery tool presented in this paper is to facilitate the explorative analysis taking Twitter user posts as a data source. After process…
Toward fast and accurate emergency cases detection in BSNs
2020
International audience; In body sensor networks (BSNs), medical sensors capture physiological data from the human body and send them to the coordinator who act as a gateway to health care. The main aim of BSNs is to save peoples' lives. Therefore, fast and correct detection of emergencies while maintaining low-energy consumption of sensors is essential requirement of BSNs. In this study, the authors propose a new adaptive data sampling approach, where the sampling ratio is adapted based on the sensed data variation. The idea is to use the modified version of the cumulative sum (CUSUM) algorithm (modified CUSUM) that they previously proposed for wireless sensor networks to monitor the data v…
A Distributed approach to the Remote Control and Programming Improvement
2006
The remote control of industrial plants through networks is becoming very important nowadays but it involves several issues that can degrade the performance and usability of the remote plant. This paper presents a distributed architecture improving a remote programming system which allows users to control and to program a plant remotely. The control system is based on a client/server architecture with many user interfaces that control the plant. The remote programming language is a mix of Java and client/server protocol in order to simplify the developing and to avoid the protocol/language translation. In order to obtain more efficiency, the program is developed in the client side and it is…
A framework for data quality handling in enterprise service bus
2013
Enterprise Service Bus (ESB) is proposed to address the application integration problem by facilitating communication among different systems in a loosely coupled, standard-based, and protocol independent manner. Data sources are maintained out of the ESB's control and there should be a mechanism to select the most suitable data source among all available data sources. Especially, when two or more data sources are about the same object. For instance, it is normal to use more than one sensor to measure pressure or temperature at a particular point. Data quality can play an important role in selecting data sources in ESB since quality of data is an essential factor in the success of organizat…
PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources.
2019
Background Biological databases and repositories are incrementing in diversity and complexity over the years. This rapid expansion of current and new sources of biological knowledge raises serious problems of data accessibility and integration. To handle the growing necessity of unification, CellBase was created as an integrative solution. CellBase provides a centralized NoSQL database containing biological information from different and heterogeneous sources. Access to this information is done through a RESTful web service API, which provides an efficient interface to the data. Results In this work we present PyCellBase, a Python package that provides programmatic access to the rich RESTfu…
Metamodel-based transformation-driven graphical tool building platform
2009
Pēdējo gadu laikā programmatūras izstrādē arvien lielāku popularitāti gūst modeļu balstītā pieeja (MDSD – Model Driven Software Development). MDSD tehnoloģijas pamatideja ir balstīt visu programmatūras izstrādes procesu uz katrai izstrādes fāzei atbilstošiem specializētiem modeļiem. Šie modeļi ne tikai dokumentē dažādus sistēmas aspektus, bet arī kļūst par tiešu programmatūras sastāvdaļu. Mūsdienu praksē MDSD modeļu aprakstam bieži izmanto specializētas modelēšanas valodas, sauktas par domēna (priekšmeta apgabala jeb lietojumsfēras) specifiskajām valodām (DSL – Domain Specific Language). Šīs valodas ļauj uzskatāmāk un efektīvāk aprakstīt kāda specifiska problēmas apgabala modeļus, izmantojo…
Iterative Symmetry Detection: Shrinking vs. Decimating Patterns
2005
This paper introduces a new mechanism that consists of applying a symmetry operator on an iteratively transformed version of the input image. The nature of the transformation characterizes the operator. Here, we consider the Object Symmetry Transform combined with the morphological operator erosion and the pyramid decimation respectively. The derived operators have been applied on both binary and gray levels images, comparing their ability to grasp the internal structure of a digital object. We present some experiments to evaluate their performances and check them for result quality versus computing complexity.
Applying data driven decision making to rank vocational and educational training programs with TOPSIS
2021
Abstract In this paper we present a multi-criteria classification of Vocational and Educational Programs in Extremadura (Spain) during the period 2009–2016. This ranking has been carried out through the integration into a complete database of the detailed information of individuals finishing such studies together with their labor data. The multicriteria method used is TOPSIS together with a new decision support method for assessing the influence of each criterion and its dependence on the weights assigned to them. This new method is based on a worst-best case scenario analysis and it is compared to a well known global sensitivity analysis technique based on the Pearson's correlation ratio.
Goal Programming as a Decision Model for Performance-Based Budgeting
2013
Abstract The spreadsheet applications are becoming a widely used tool for processing quantitative data and developing analytical solutions. The ability to build decision support systems (DSS) based on these spreadsheet solutions can facilitate knowledge management and increase information utilization within an organization. The paper describes the use of a spreadsheet solution to partially implement the performance-based budgeting (PB) principles for a public body. The solution builds on the goal programming optimization method and is exemplified for some real data.