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Presentación1 014
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The communication technology mainly Blackberry enables a medium to facilitate mediated interpersonal communication because of its interactive ability. This aspect creates some easiness. In the interpersonal communication keeping apart with a distance, the interactivity of the convergent media has been over the potential ability of a feedback since a person accessing a convergent medium directly gives a feedback of the message conveyed. Blackberry as a result of an advanced technology development has been growing so fast in this life. Based on the background and phenomenon mentioned, this research studied about “The Relationship between The Use of Blackberry with The Demand Fulfillment and Personality of The Junior High Students in Bandung.” The research was aimed at finding out: (1) the correlation between ten intensity of blackberry use with the cognitive and affective fulfillment of The Junior High School Students, (2) the correlation between the intensity of blackberry use with the Tense Release of The Junior High School Students, (3) the correlation between the intensity of blackberry use with the Personal Integrative of The Junior High School Students; (4) the correlation between the intensity of blackberry use with the Socially Integrative of The Junior High School Students; (5) the correlation between the intensity of blackberry use with the Confidence of The Junior High School Students; (6) the correlation between the intensity of blackberry use with the Tolerance of The Junior High School Students; (7) the correlation between the intensity of blackberry use with the Whole Fulfillment of The Junior High School Students; (8) the correlation between the intensity of blackberry use with the Personality as a whole of The Junior High School Students The research used a quantitative approach with the explanatory survey method. The Theories used were: Cognitive Psychology, Technology Determinism, and Uses and Gratification . The population of the research was The Junior High School students. By using random sampling technique, it was taken 5 schools and 200 students as the sample. The data were taken through questionnaires. The data obtained were analyzes by using the statistical test of correlation. The results of the research were shown in the forms of Bar Chart.
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The communication technology mainly Blackberry enables a medium to facilitate mediated interpersonal communication because of its interactive ability. This aspect creates some easiness. In the interpersonal communication keeping apart with a distance, the interactivity of the convergent media has been over the potential ability of a feedback since a person accessing a convergent medium directly gives a feedback of the message conveyed. Blackberry as a result of an advanced technology development has been growing so fast in this life. Based on the background and phenomenon mentioned, this research studied about “The Relationship between The Use of Blackberry with The Demand Fulfillment and Personality of The Junior High Students in Bandung.” The research was aimed at finding out: (1) the correlation between ten intensity of blackberry use with the cognitive and affective fulfillment of The Junior High School Students, (2) the correlation between the intensity of blackberry use with the Tense Release of The Junior High School Students, (3) the correlation between the intensity of blackberry use with the Personal Integrative of The Junior High School Students; (4) the correlation between the intensity of blackberry use with the Socially Integrative of The Junior High School Students; (5) the correlation between the intensity of blackberry use with the Confidence of The Junior High School Students; (6) the correlation between the intensity of blackberry use with the Tolerance of The Junior High School Students; (7) the correlation between the intensity of blackberry use with the Whole Fulfillment of The Junior High School Students; (8) the correlation between the intensity of blackberry use with the Personality as a whole of The Junior High School Students The research used a quantitative approach with the explanatory survey method. The Theories used were: Cognitive Psychology, Technology Determinism, and Uses and Gratification . The population of the research was The Junior High School students. By using random sampling technique, it was taken 5 schools and 200 students as the sample. The data were taken through questionnaires. The data obtained were analyzes by using the statistical test of correlation. The results of the research were shown in the forms of Bar Chart.
THE RELATIONSHIP BETWEEN THE USE OF BLACKBERRY WITH THE STUDENTS’ DEMAND FULF...
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Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and one of meta-heuristic algorithms. This technique is based on an old mathematical study that explains the geographical distribution of biological organisms. The first original form of BBO was introduced in 2008 and known as a partial migration based BBO. Few months later, BBO was re-introduced again with additional three other forms and known as single, simplified partial, and simplified single migration based BBOs. Then a lot of modifications were employed to enhance the performance of BBO. However, the literature lacks the explanations and the reasons on which the modifications are based on. This paper tries to clarify this issue by making a comparison between the four original BBO algorithms through a variety of benchmark functions with different dimensions and complexities. The results show that both single and simplified single migration based BBOs are faster, but have less performance as compared to the others. The comparison between the partial and the simplified partial migration based BBOs shows that the preference depends on the population size, problem’s complexity and dimensions and the values of the upper and lower side constraints. The partial migration model wins when these factors, except population size, are increased, and vice versa for the simplified partial migration model. The results can be used as a foundation and a first step of modification for enhancing any proposed modification on BBO including the existing modifications that are described in literature.
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Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and one of meta-heuristic algorithms. This technique is based on an old mathematical study that explains the geographical distribution of biological organisms. The first original form of BBO was introduced in 2008 and known as a partial migration based BBO. Few months later, BBO was re-introduced again with additional three other forms and known as single, simplified partial, and simplified single migration based BBOs. Then a lot of modifications were employed to enhance the performance of BBO. However, the literature lacks the explanations and the reasons on which the modifications are based on. This paper tries to clarify this issue by making a comparison between the four original BBO algorithms through a variety of benchmark functions with different dimensions and complexities. The results show that both single and simplified single migration based BBOs are faster, but have less performance as compared to the others. The comparison between the partial and the simplified partial migration based BBOs shows that the preference depends on the population size, problem’s complexity and dimensions and the values of the upper and lower side constraints. The partial migration model wins when these factors, except population size, are increased, and vice versa for the simplified partial migration model. The results can be used as a foundation and a first step of modification for enhancing any proposed modification on BBO including the existing modifications that are described in literature.
PERFORMANCE COMPARISON BETWEEN THE ORIGINAL FORMS OF BIOGEOGRAPHY-BASED OPTIM...
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In Artificial Intelligence, planning refers to an area of research that proposes to develop systems that can automatically generate a result set, in the form of an integrated decisionmaking system through a formal procedure, known as plan. Instead of resorting to the scheduling algorithms to generate plans, it is proposed to operate the automatic learning by decision tree to optimize time. In this paper, we propose to build a classification model by induction graph from a learning sample containing plans that have an associated set of descriptors whose values change depending on each plan. This model will then operate for classifying new cases by assigning the appropriate plan.
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Guia de-precios-compugreiff-09-de-diciembre-de-2015
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