Business Intelligence Expert System on SOX Compliance over the Purchase Orders Creation Process

The objective of this work is to define a decision support system over SOX (Sarbanes-Oxley Act) compatibility and quality of the Purchase Orders Creation Process based on Artificial Intelligence and Theory of Argumentation knowledge and techniques. This proposed model directly contributes to both scientific research artificial intelligent area and business practices. From business perspective it empowers the use of artificial intelligent models and techniques to drive decision making processes over financial statements. From scientific and research area the impact is based on the combination of 1) an Information Seeking Dialog Protocol in which a requestor agent inquires the business case; 2) a Facts Valuation based Protocol in which the previously gathered facts are analyzed; 3) the already incorporated initial knowledge of a human expert via initial beliefs; 4) the Intra-Agent Decision Making Protocol based on deductive argumentation; and 5) the semi automated Dynamic Knowledge Learning Protocol. Last but not least the suggested way of integration of this proposed model in a higher level multiagent intelligent system in which a Joint Deliberative Dialog Protocol and an Inter-Agent Decision Deductive Argumentation Making Protocol are described

Argumentative SOX Compliant and Quality Decision Support Intelligent Expert System over the Suppliers Selection Process

The objective of this paper is to define a decision support system over SOX (Sarbanes-Oxley Act) compatibility and quality of the Suppliers Selection Process based on Artificial Intelligence and Argumentation Theory knowledge and techniques. The present SOX Law, in effect nowadays, was created to improve financial government control over US companies. This law is a factor standard out United States due to several factors like present globalization, expansion of US companies, or key influence of US stock exchange markets worldwide. This paper constitutes a novel approach to this kind of problems due to following elements: (1) it has an optimized structure to look for the solution, (2) it has a dynamic learning method to handle court and control gonvernment bodies decisions, (3) it uses fuzzy knowledge to improve its performance, and (4) it uses its past accumulated experience to let the system evolve far beyond its initial state

Decision Making Intelligent Agent on SOX Compliance over the Imports Process

The objective of this work is to define a decision support system over SOX (Sarbanes-Oxley Act) compatibility of the Imports Process based on Artificial Intelligence and Theory of Argumentation knowledge and techniques measuring at the same time the quality of how things were done on this specific process of the analyzed business case. SOX Law in effect nowadays is worldwide facto standard for financial and economical operations of private sector with the main objective to protect investors of private sector and promote the financial health of private companies. In this framework we have developed a decision support intelligent expert model to help SOX control bodies, companies and auditors to support their SOX compliance decisions based on well founded bases like Artificial Intelligence and Theory of Argumentation. The model here presented incorporates several key concepts like pre-existing expert knowledge base, a formalized and structure way to evaluate an existing business case focusing on the Imports Process, a semi automated fuzzy dynamic knowledge learning protocol and an structure method to evolve based on the facts of the business case and suggest an specific decision about the SOX compatibility of the specific business case

Decision Making Intelligent Agent on SOX Compliance over the Goods Receipt Processs

The objective of this work is to define a decision support system over SOX (Sarbanes-Oxley Act) compatibility of the Goods Receipt Process based on Artificial Intelligence and Theory of Argumentation knowledge and techniques measuring at the same time the quality of how things were done on this specific process of the analyzed business case. SOX Law in effect nowadays is worldwide facto standard for financial and economical operations of private sector with the main objective to protect investors of private sector and promote the financial health of private companies. In this framework we have developed a decision support intelligent expert model to help SOX control bodies, companies and auditors to support their SOX compliance decisions based on well founded bases like Artificial Intelligence and Theory of Argumentation. The model here presented incorporates several key concepts like pre-existing expert knowledge base, a formalized and structure way to evaluate an existing business case focusing on the Goods Receipt Process, a semi automated fuzzy dynamic knowledge learning protocol and an structure method to evolve based on the facts of the business case and suggest an specific decision about the SOX compatibility of the specific business case

Combining Improved FYDPS Neural Networks and Case-Based Planning — A Case Study

This paper presents a hybrid deliberative architecture based on the concept of CBPBDI agent. A CBP-BDI agent is a BDI agent that incorporates a CBP reasoning engine. The work here presented focuses in the development of the CBP internal structure. The planning mechanism has been implemented by means of a novel FYDPS neural network. The system has been tested and this paper presents the results obtained

Nanofabrication and Electrochemical Characterization of Self-Assembled Monolayers Sandwiched between Metal Nanoparticles and Electrode Surfaces

Nanoscience and nanotechnology have reached the syllabi of many upper-division undergraduate and master-level courses all over the world. There is therefore a growing need for practical exercises that illustrate the fabrication, characterization, properties, and applications of nanomaterials. Here we describe an advanced-level laboratory experiment in which students had the opportunity to fabricate surfaces modified by ordered monolayers and nanostructured materials. The surface modification was quantified by means of a quartz crystal microbalance, while the electrochemical properties of the nanoarchitectures were assessed using cyclic voltammetry experiments. Electron transfer across self-assembled monolayers mediated by gold nanoparticles was presented as a topic for discussion, and consideration of potential practical applications of the observed phenomena (catalytic and electrocatalytic processes, as well as development of optical, (opto)electronic, and photovoltaic devices with enhanced properties) was proposed as a further reading exercise

Constructing Deliberative Agents Using a Hybrid System.

This paper presents a deliberative agent that incorporates a hybrid system as a reasoning motor in the frame of CBR systems. To solve this problem the agent incorporates neural networks to implement the stages of the CBR system. Our agent can acquire knowledge and adapt itself to environmental changes. The hybrid system has been applied for evaluating the interaction between the atmosphere and the ocean. The system has been tested successfully, and the results obtained are presented in this paper

Tendencia de las frecuencias de las olas de frío en la meseta central española, entre 1961 y 2010

Ponencia presentada en: VIII Congreso de la Asociación Española de Climatología celebrado en Salamanca entre el 25 y el 28 de septiembre de 2012.[ES]A partir de las series de datos diarios de anomalías de temperatura máxima (ATMAD) y mínima (ATMID), se analiza el comportamiento de las olas de frío detectadas en ella durante el periodo 1961- 2010. En función de los valores umbrales de ATMAD y ATMID determinados por el percentil P10 de las series de trabajo se establecen los días extremadamente fríos. Se define una ola de frío como una sucesión de dos o más días consecutivos en los que las ATMAD y ATMID son inferiores, simultáneamente, a los umbrales establecidos. Se identifican las olas de frío en el intervalo de estudio y se determinan sus frecuencias mensuales y anuales.[EN]From the series of daily data of anomalies of maximum temperature (ATMAD) and minimum temperature (ATMID), the behavior of cold waves detected in it during the period 1961-2010 is analyzed. Extremely cold days are established based on the thresholds values for ATMAD and ATMID determined by the P10 percentile of the work series. Defines a cold wave as a succession of two or more consecutive days in which the ATMAD and ATMID are below, at the same time, to the established thresholds. The waves of cold in the interval of study are identified and their monthly and annual frequencies are determined.Este trabajo se ha realizado en el marco del proyecto de investigación CGL2009-08565 financiado por el MICINN

Evolución temporal de las olas de calor en la meseta central española, entre 1961 y 2010

Ponencia presentada en: VIII Congreso de la Asociación Española de Climatología celebrado en Salamanca entre el 25 y el 28 de septiembre de 2012.[ES]Se establece el comportamiento temporal de las frecuencias anuales de olas de calor producidas entre 1961 y 2010. A partir de los datos diarios de anomalías de temperatura se determinan las series de anomalías diarias de temperaturas máxima (ATMAD) y mínima (ATMID) para el área de trabajo. Se obtienen los valores umbrales de las dichas anomalías, determinados por el percentil P90 de las series correspondientes. Se establece la existencia de ola de calor cuando se observan dos o más días consecutivos en los que ATMAD y ATMID superan, simultáneamente, los valores de los umbrales establecidos. Se identifican las olas de calor que han afectado a la Meseta Central española durante el periodo de estudio y se establecen sus frecuencias mensuales y anuales. Los resultados indican que los meses de mayor número de olas de calor entre 1961 y 2010, son Mayo (25 olas) y Junio (23 olas). El análisis de tendencia de las series de frecuencias anuales obtenidas indica que existe una tendencia creciente de las olas de calor con un nivel de confianza mayor del 99%. El modelo lineal establece que, se ha producido un aumento en la frecuencia de olas de calor en la Meseta Central española del orden de 0,6 olas cada 10 años.[EN]The temporal behavior of annual frequency of heat waves, produced between 1961 and 2010, is established. From the daily data of temperature, the maximum and the minimum temperature anomalies (ATMAD and ATMID) for the studied zone are obtained. The values of the thresholds of these anomalies, determined by the 90 percentile of the corresponding series are calculated. The existence of heat wave is established when there are two or more consecutive days in which ATMAD and ATMID exceed, at the same time, the values of the corresponding thresholds. The heat waves that have affected the Spanish Central Plateau during the study period are identified, and its annual and monthly frequencies are established. The results indicate that the months of highest number of waves of heat between 1961and 2010 are May (25 waves) and June (23 waves). Analysis of trend of the series of annual frequencies obtained indicates that there is an increasing trend of heat waves to a greater than 99% confidence level. The linear model establishes that there has been an increase in the frequency of heat waves in the Spanish Central Plateau in the order of 0.6 waves every 10 years.Este trabajo se ha realizado en el marco del proyecto de investigación CGL2009-08565 financiado por el MICINN

Tendencias recientes de las frecuencias de los valores extremos de temperatura en la Región de Castilla y León

Ponencia presentada en: V Congreso Internacional de la Asociación Española de Climatología celebrado en Zaragoza del 18 al 21 de septiembre de 2006.[ES]A partir de los datos diarios del intervalo temporal comprendido entre 1961-2003, se establecen las series de anomalías diarias de temperatura máxima y mínima en las capitales de provincia de la región de Castilla y León. A continuación se construyen las series regionales de dichas anomalías para todo el territorio analizado. De las series regionales de anomalías se establecen como umbrales extremos los valores correspondientes a los percentiles P05 y P95. Seguidamente se elaboran las series de frecuencias anuales de días con valores de anomalías por debajo y por encima de los citados valores umbrales. El análisis de las tendencias permite apreciar que los valores más bajos de temperatura máxima diaria presentan una frecuencia anual decreciente, mientras que los valores más elevados tienen una frecuencia creciente. Por su parte, las temperaturas mínimas diarias muestran resultados similares, los valores más bajos presentan una frecuencia anual decreciente y los más altos creciente.[EN]On the basis of daily data for the period 1961-2003, this paper lays out the series of daily anomalies in maximum and minimum temperatures recorded for all capital cities in the region of Castile-Leon. Next it builds up the regional series of such anomalies for the whole of the territory that is the subject of this analysis. Within these regional series, threshold values are assigned corresponding to percentiles P05 and P95. The next step consists in drawing the series of annual occurrence rates for days where anomalies score either higher or lower than the above-mentioned threshold values. The analysis of these trends shows that the lowest values for maximum daily temperatures point at a decreasing annual rate, while the highest values exhibit a growing rate of occurrence. On the other hand, minimum daily temperatures point at similar results, the lowest values showing a decreasing annual rate and the highest values reflecting an increase in such a rate.Este trabajo se ha realizado en el marco del proyecto de investigación REN2003-01866, financiado por el Ministerio de Ciencia y Tecnología