An Intelligent System For Arabic Text Categorization

Text Categorization (classification) is the process of classifying documents into a predefined set of categories based on their content. In this paper, an intelligent Arabic text categorization system is presented. Machine learning algorithms are used in this system. Many algorithms for stemming and feature selection are tried. Moreover, the document is represented using several term weighting schemes and finally the k-nearest neighbor and Rocchio classifiers are used for classification process. Experiments are performed over self collected data corpus and the results show that the suggested hybrid method of statistical and light stemmers is the most suitable stemming algorithm for Arabic language. The results also show that a hybrid approach of document frequency and information gain is the preferable feature selection criterion and normalized-tfidf is the best weighting scheme. Finally, Rocchio classifier has the advantage over k-nearest neighbor classifier in the classification process. The experimental results illustrate that the proposed model is an efficient method and gives generalization accuracy of about 98%

Simulation and optimization model for the construction of electrical substations

One of the most complex construction projects is electrical substations. An electrical substation is an auxiliary station of an electricity generation, transmission and distribution system where voltage is transformed from high to low or the reverse using transformers. Construction of electrical substation includes civil works and electromechanical works. The scope of civil works includes construction of several buildings/components divided into parallel and overlapped working phases that require variety of resources and are generally quite costly and consume a considerable amount of time. Therefore, construction of substations faces complicated time-cost-resource optimization problems. On another hand, the construction industry is turning out to be progressively competitive throughout the years, whereby the need to persistently discover approaches to enhance construction performance. To address the previously stated afflictions, this dissertation makes the underlying strides and introduces a simulation and optimization model for the execution processes of civil works for an electrical substation based on database excel file for input data entry. The input data include bill of quantities, maximum available resources, production rates, unit cost of resources and indirect cost. The model is built on Anylogic software using discrete event simulation method. The model is divided into three zones working in parallel to each other. Each zone includes a group of buildings related to the same construction area. Each zone-model describes the execution process schedule for each building in the zone, the time consumed, percentage of utilization of equipment and manpower crews, amount of materials consumed and total direct and indirect cost. The model is then optimized to mainly minimize the project duration using parameter variation experiment and genetic algorithm java code implemented using Anylogic platform. The model used allocated resource parameters as decision variables and available resources as constraints. The model is verified on real case studies in Egypt and sensitivity analysis studies are incorporated. The model is also validated using a real case study and proves its efficiency by attaining a reduction in model time units between simulation and optimization experiments of 10.25% and reduction in total cost of 4.7%. Also, by comparing the optimization results by the actual data of the case study, the model attains a reduction in time and cost by 13.6% and 6.3% respectively. An analysis to determine the effect of each resource on reduction in cost is also presented

Seismic Resistance of RC Corner Eccentric Beam-Column Sub-assemblages

An experimental investigation studied performance of reinforced concrete (RC) corner beam-column connection (BCC) subjected to cyclic loading. Each BCC consisted of upper, lower column and two beams; one of them was free end (A) while the other was fixed end (B). The cyclic loading was applied on the end of beam (A) while the beam (B) was unloaded and subjected to torsion stresses due to fixation. Two variables were investigated. The first is the eccentricity of the beam about column edge while the second is the effect of stirrup joint configuration on reinforced concrete beam column connection under cyclic loading. All BCCs were tested under reversible 14 cycles. The vertical displacement at the free end of beam (A), horizontal sway at mid height of the column, crack and ultimate loads were observed in details at each cycle. The results showed that the increase of stirrup length in the joint decreased the deflection at the same level of the load. The ultimate load of specimen, which was shifted by 25 mm, was less than the ultimate load of specimen, without shift, by 24%. When the joint stirrup was extended outside the column core by 50 mm in specimen Sp2, the capacity of the connection increased

A New Monte Carlo Based Algorithm for the Gaussian Process Classification Problem

Gaussian process is a very promising novel technology that has been applied to both the regression problem and the classification problem. While for the regression problem it yields simple exact solutions, this is not the case for the classification problem, because we encounter intractable integrals. In this paper we develop a new derivation that transforms the problem into that of evaluating the ratio of multivariate Gaussian orthant integrals. Moreover, we develop a new Monte Carlo procedure that evaluates these integrals. It is based on some aspects of bootstrap sampling and acceptancerejection. The proposed approach has beneficial properties compared to the existing Markov Chain Monte Carlo approach, such as simplicity, reliability, and speed

Seismic Resistance of RC Corner Eccentric Beam-Column Sub-assemblages

An experimental investigation studied performance of reinforced concrete (RC) corner beam-column connection (BCC) subjected to cyclic loading. Each BCC consisted of upper, lower column and two beams; one of them was free end (A) while the other was fixed end (B). The cyclic loading was applied on the end of beam (A) while the beam (B) was unloaded and subjected to torsion stresses due to fixation. Two variables were investigated. The first is the eccentricity of the beam about column edge while the second is the effect of stirrup joint configuration on reinforced concrete beam column connection under cyclic loading. All BCCs were tested under reversible 14 cycles. The vertical displacement at the free end of beam (A), horizontal sway at mid height of the column, crack and ultimate loads were observed in details at each cycle. The results showed that the increase of stirrup length in the joint decreased the deflection at the same level of the load. The ultimate load of specimen, which was shifted by 25 mm, was less than the ultimate load of specimen, without shift, by 24%. When the joint stirrup was extended outside the column core by 50 mm in specimen Sp2, the capacity of the connection increased

A Report on Different Vibration Analyses Based on Acoustic and Mechanical Measurements

Der Band beinhaltet einen Bericht über verschiedene Schwingungsanalysen basierend auf akustischen und mechanischen Messungen. Die Messungen wurden von der Arbeitsgruppe Werkstoffphysik des Fachbereichs Seefahrt unter der Leitung von Prof. Dr. rer. nat. habil. Jürgen Göken duchgeführt. Der Bericht umfasst folgende Themen: A) Untersuchungen der dehnungsabhängigen Dämpfung der Titanligierung Ti-10V-2Fe-3Al bei Raumtemperatur B) Akustische Messungen der Schallverteilung an verschiedenen Orgelpfeifen und an einem Klavierresonanzboden mit Hilfe verschiedener akustischer Detektionssysteme C) Akustische Messungen an Bord der Fähre "MS Ostfriesland" D) Unterschung der Korrelation zwischen dem Feuchtigkeitsgehalt und den Dämpfungseigenschaften von Fichtenhol