Hybrid systems for medical data analysis and decision making-a case study on varicose vein disorders

2002 ◽  
Author(s):  
M. Bailey ◽  
C. Solomon ◽  
N. Kasabov ◽  
S. Greig
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Hybrid Systems ◽  
Varicose Vein ◽  
Medical Data

scholarly journals A Decision-Making Algorithm for Energo-Economic Sustainability and Efficiency in Buildings: A Case Study in Turkey

2019 ◽  
Vol 111 ◽  
pp. 03024
Author(s):  
Derya Kışla Tekin ◽  
Levent Çolak ◽  
Birol Kılkış
Keyword(s):  
Carbon Dioxide ◽  
Decision Making ◽  
Hybrid Systems ◽  
Green Building ◽  
Hvac Systems ◽  
Payback Period ◽  
Energy Sources ◽  
Line Energy ◽  
System Combination

Today, sustainability and energy efficiency are of prime importance in satisfaction of thermal and electrical loads of buildings. In this study, innovative hybrid solutions alternative to conventional HVAC systems are investigated. Objective of study is to minimize the payback period and CO2 emissions are main objectives. For conventional HVAC systems two sources of energy, namely natural gas and electricity were considered as the base line. Energy sources for the innovative methods were considered to be solar energy, ground heat and waste heat. Conventional system was considered to be a backup system when innovative energy resources are insufficient. Hourly heating, cooling and electrical power loads of Eser Green Building, which already has LEED Platinum certificate were used for the case study, which aims to further improve the energy and exergy efficiency. In the new algorithm being developed, all power conversion systems were defined in a simple input- output transfer function format. A decision-making algorithm and an ExcelTM-based simulation program were developed and tried with Eser Green Building input data for different renewable energy source and system combination conventional systems, energy sources, and equipment in term of investment, operation and total cost, payback period, and carbon dioxide emission values. Payback period of Eser green building is 11,8 years and for two hybrid systems are 13,2 years and 9,2 years, respectively. Carbon dioxide emissions by hybrid systems under the same load conditions were found to be 488 kgCO2/h and 592 kgCO2/h for approaches, respectively.

scholarly journals Big Data Analysis Proposal for Manufacturing Firm

2021 ◽  
Vol 5 (1) ◽  
pp. 68-75
Author(s):  
Alicia Valdez ◽  
Griselda Cortes ◽  
Laura Vazquez ◽  
Adriana Martinez ◽  
Gerardo Haces
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Business Processes ◽  
Decision Making Process ◽  
Manufacturing Companies ◽  
Manufacturing Firm ◽  
Production Factors ◽  
Ac Motors ◽  
Selection Of

The analysis of large volumes of data is an important activity in manufacturing companies, since they allow improving the decision-making process. The data analysis has generated that the services and products are personalized, and how the consumption of the products has evolved, obtaining results that add value to the companies in real time. In this case study, developed in a large manufacturing company of electronic components as robots and AC motors; a strategy has been proposed to analyze large volumes of data and be able to analyze them to support the decision-making process; among the proposed activities of the strategy are: Analysis of the technological architecture, selection of the business processes to be analyzed, installation and configuration of Hadoop software, ETL activities, and data analysis and visualization of the results. With the proposed strategy, the data of nine production factors of the motor PCI boards were analyzed, which had a greater incidence in the rejection of the components; a solution was made based on the analysis, which has allowed a decrease of 28.2% in the percentage of rejection.

scholarly journals AUDITORIA INTERNA DE ESTOQUE COMO FERRAMENTA NA PREVENÇÃO DE FRAUDES E DESVIOS DE MATÉRIA-PRIMA

2021 ◽  
Vol 9 (208) ◽  
pp. 1-20
Author(s):  
Francine Caroline Pontes de Lima
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Raw Materials ◽  
Internal Audit ◽  
Control Analysis ◽  
Internal Auditing ◽  
Internal Procedures ◽  
Do So

Internal audit is of utmost importance to organizations, playing a key role in decision making. The purpose of this article was to analyze the importance of internal auditing as a tool to prevent fraud and diversion of raw materials in a multinational. The company studied is dedicated to the purchase and grinding of grains. In order to do so, a case study was carried out, performing an analysis of the internal procedures of the company studied and a real audit during the two-year period of the company's operations. The data were collected through observations, interviews and documents made available by the company. The techniques used for data analysis were descriptive and documentary analyzes. This study reveals the importance of internal auditing, since it has tools that allow the identification and resolution of problems and risks of fraud and diversion through control, analysis and advice that meet the needs of an.

scholarly journals Analisis Kesehatan Bank Berdasarkan Kecukupan Modal, Kualitas Aktiva Produktif, Manajemen, Dan Likuiditas (Studi pada BPR Siliwangi, Tasikmalaya)

2019 ◽  
Author(s):  
Tedi Rustendi
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Longitudinal Data ◽  
Significant Influence ◽  
Critical Value ◽  
Path Coefficient ◽  
Simultaneous Influence

The partial and simultaneous influence of CAMEL factors on healt level of bank have been purpose of this research. Case study implemented for Descriptive analylis of longitudinal data in range five years. Instrument data analysis used path coefficient, and decision making accorded two tailed test with critical value that restricted 5% level of significant. The result of hipothesis testing were partially only management factor has significant influence on healt level of bank, and simultaneous all of CAMEL factors have significant influence on healt level of bank.

scholarly journals Challenge for Planning by Using Cluster Methodology: The Case Study of the Algarve Region

2020 ◽  
Vol 12 (4) ◽  
pp. 1536 ◽  
Author(s):  
David Bienvenido-Huertas ◽  
Fátima Farinha ◽  
Miguel José Oliveira ◽  
Elisa M. J. Silva ◽  
Rui Lança
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Data Analysis ◽  
Subject Area ◽  
Environmental Indicators ◽  
Sustainability Indicators ◽  
Analysis Approach ◽  
Data Set ◽  
Indicator Approach

This study analyses the most appropriate methodology to make similarity classifications among the cities of the Algarve (Portugal) according to 105 sustainability indicators monitored with the Observatory of Sustainability of the Algarve Region for Tourism (OBSERVE). The methodology used to establish the similarities was the cluster analysis with 4 different approaches which reduced the dimensions of the data set: total approach, pillar approach, subject area approach, and indicator approach. By combining the approaches, a total of 620 different cluster analyses were performed. The results reflected that the data analysis approaches with less dimensions were those that performed the best groups among cities. In this sense, the approaches with a high number of indicators (e.g., the total or the pillar approach) were characterised by misclassifying cities in more than 30% of the indicators. Thus, the most acceptable cluster analysis approach was that with a low number of indicators. Through this approach, it was possible to make correct groups of the sustainability level of the cities of the Algarve. These results provided an appropriate methodology for the decision-making regarding the sustainability of a region and could be extrapolated to other regions to assess sustainability or environmental indicators.

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