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Search Results: 1 - 7 of 7 matches for " Diamando Vlachogiannis "
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Time Series Forecasting of Hourly PM10 Using Localized Linear Models  [PDF]
Athanasios Sfetsos, Diamando Vlachogiannis
Journal of Software Engineering and Applications (JSEA) , 2010, DOI: 10.4236/jsea.2010.34042
Abstract: The present paper discusses the application of localized linear models for the prediction of hourly PM10 concentration values. The advantages of the proposed approach lies in the clustering of the data based on a common property and the utilization of the target variable during this process, which enables the development of more coherent models. Two alternative localized linear modelling approaches are developed and compared against benchmark models, one in which data are clustered based on their spatial proximity on the embedding space and one novel approach in which grouped data are described by the same linear model. Since the target variable is unknown during the prediction stage, a complimentary pattern recognition approach is developed to account for this lack of information. The application of the developed approach on several PM10 data sets from the Greater Athens Area, Helsinki and London monitoring networks returned a significant reduction of the prediction error under all examined metrics against conventional forecasting schemes such as the linear regression and the neural networks.
An Investigation of the Factors Affecting the Ozone Concentrations in an Urban Environment  [PDF]
Athanasios Sfetsos, Diamando Vlachogiannis, Nikolaos Gounaris
Atmospheric and Climate Sciences (ACS) , 2013, DOI: 10.4236/acs.2013.31003
Abstract:

Adjoint sensitivity analysis allows to assess the areas that have the largest impact on a given receptor site. The adjoint version of the Community Multiscale Air Quality (CMAQ v4.5) model was employed to perform a sensitivity analysis of ground level ozone for the episodic event of June 24, 2003, in the city of Athens assuming as a receptor site that of Agia Paraskevi Station. The 3-dimensional meteorology fields calculated using the Mesoscale Model 5 (MM5, Penn State University version 3.7.2) were used to produce high resolution daily air emissions inventories for the main anthropogenic and biogenic pollutants with 1-hour time step by an in-house built processor named EMISLAB. The meteorological prediction fields in combination with the emissions inventories were consequently fed as inputs to the CMAQ model. The ozone sensitivities were obtained with respect to pollutant concentrations and emissions. The distribution of the sensitivities in the computational domain for different times delineated the regions where perturbations in some concentrations would result in significant changes in the ozone concentrations in the area of interest (Agia Paraskevi, in this case) at the final time. The investigation yielded that the most significant influences were the transported O3 and NOx concentrations from the industrial area in the northern parts of the city and the road traffic from the city centre.

Aircraft Weapon`s selection expert system using CLIPS
D. Palla,J. G. Vlachogiannis
Asian Journal of Information Technology , 2012,
Abstract: An expert system of aircraft target hit weapon selection is developed by means of the CLIPS (C Language Integrated Production System of NASA and NRCC) an advanced programming tool. CLIPS is used due to its numerous capabilities; moreover, it is flexible, expandable and inexpensive. Intially, deffacts and assert CLIPS tools are used to creat records of facts. Afterwards, rules, that form the expert system of target hit, are generated by means of defrule tool. Further research focusing on the collaboration of target trace, maneuver and fire expert systems with the target hit weapon selection expert system, is proposed.
Decision Trees for Load Analysis of Computer Networks
D. Palla,M. Givalou,J. G. Vlachogiannis
Asian Journal of Information Technology , 2012,
Abstract: The paper elaborates the development of a decision system by means of the decision trees technique. Specifically, classification rules are exported for the loaded state of exterior tine of the computer network of laboratories of Informatics and Computer Technology Department of the Technological Educations lInstitute (TEI) of Lamia/Greece. The decision trees method uses a learning set, consisting of four important attributes of the operation line, the volume of requested data and data that is stored, as well as the average utilization time of the network line. From the decision tree is derived that the time logged on the network and the volume of transferred data, have a great effect on the exterior line loading.
Design of an Expert Medication System using CLIPS
J.G. Vlachogiannis,D. Palla
Asian Journal of Information Technology , 2012,
Abstract: Nowadays, the sector of artificial intelligence has bred a large number of ingenious expert system applications, which elaborately take advantage of the combination of hardware and software with the appropriate designing tools. The expert system designed in this project selects the appropriate prescription taking into consideration the medical record of the patient and possible side effects of the proposed medication according to the results of the antibiogram and other related tests. The designing tool used is the CLIPS (C Language Integrated Production System) a pioneering expert systems language developed in NASA and NRCC. CLIPS language is used due to its numerous capabilities; moreover, it is flexible, expandable and inexpensive. Initially, the structures of the facts are created using the deftemplate tool and then the records of these facts with the use of the deffacts CLIPS tool. Afterwards, rules, that form the medication expert system, are generated by means of defrule tool. The medication expert system is a novel assistance for the physician as well as flexible and adaptable to any medical specialty.
Robust Die Castings Process by Taguchi`s Method
John G. Vlachogiannis,Ranjit K. Roy
Asian Journal of Information Technology , 2012,
Abstract: This study discusses the Taguchi`s quality control technique, determining the optimum combination of design parameters of die casting process for optimisation in quality of aluminium alloy casting. Specifically the mechanisms of porosity formation and the AlSi9Cu3 aluminium alloy casting density in relation to die casting parameters have to be studied in detail. Through simple multifactor experiments in the foundry, controllable factors can be isolated to provide centring and variance control for process variables. The method is briefly explained and its application is demonstrated by the use of a die casting experiment in a foundry industry. Conclusively, the casting process is robust to uncontrollable factors (noise) selecting the optimum levels of process parameters with the target to illustrate practicality and ease of use by industry engineers and managers.
Management of cardiovascular risk factors with pioglitazone combination therapies in type 2 diabetes: an observational cohort study
ángel Rodríguez, Jesús Reviriego, Vasilios Karamanos, Francisco J del Ca?izo, Nikolaos Vlachogiannis, Vangelis Drossinos, the ECLA Study Group
Cardiovascular Diabetology , 2011, DOI: 10.1186/1475-2840-10-18
Abstract: Over a 1-year period, two multicenter, open-labeled, controlled, 1-year, prospective, observational studies evaluated patients with T2D (n = 4585) from routine clinical practice in Spain and Greece with the same protocol. Patients were eligible if they had been prescribed Pio + SU, Pio + Met or SU + Met serving as a control cohort, once they had failed with previous therapy. Anthropometric measurements, lipid and glycemic profiles, blood pressure, and the proportions of patients at microvascular and macrovascular risk were assessed.All study treatment combinations rendered progressive 6-month and 12-month lipid, glycemic, and blood pressure improvements. Pio combinations, especially Pio + Met, were associated with increases in HDL-cholesterol and decreases in triglycerides and in the atherogenic index of plasma. The proportion of patients at high risk decreased after 12 months in all study cohorts. Minor weight changes (gain or loss) and no treatment-related fractures occurred during the study. The safety profile was good and proved similar among treatments, except for more hypoglycemic episodes in patients receiving SU and for the occurrence of edema in patients using Pio combinations. Serious cardiovascular events were rarely reported.In patients with T2D failing prior hypoglycemic therapies, Pio combinations with SU or Met (especially Pio + Met) improved blood lipid and glycemic profiles, decreasing the proportion of patients with a high microvascular or macrovascular risk. The combination of Pio with SU or Met may therefore be recommended for T2D second-line therapy in the routine clinical practice, particularly in patients with dyslipidemia.Type 2 diabetes mellitus (T2D) is a progressive and heterogeneous disease associated with macrovascular and microvascular complications that increase morbidity and mortality [1]. Cardiovascular disease (CVD) risk is higher in patients with T2D than in the matched nondiabetic population [2]. About half of deaths in patients w
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