Software Engineering

ISSN Online: 2376-8037 ISSN Print: 2376-8029

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Volume 6, Issue 1, March 2018

  • Author: Mykola Pasyeka

    Abstract: This article considers the development ways of data warehouse structure model for the management of the educational process in higher educational establishments. A model of analytical processing of structured and unstructured data is highlighted and the scheme of data files position in the data warehouse is visually presented. The analysis of modern methods and means of development data warehousing structures for building of informational systems with the ability for the analytical study of available information is being done. The result of this study is developed architecture of of data warehouse system and conclusions about use features while building of the information-analytical system of higher educational institution.

    Received: Nov. 23, 2017 Accepted: Dec. 1, 2017 Published: Jan. 16, 2018

    DOI: 10.11648/ View: Downloads:

  • Authors: Zhonghua He, Tao Zhang, Fuqiang Li, Yuou Hu, Nana Li

    Abstract: The accuracy of the power demand forecast will directly affect the planning, safety and stability of the power system. The power demand is greatly affected by the factors related to economic development. In addition, special events will also have impacts on the electricity consumption of industries, service industries and residents. In this paper, gray relational analysis and support vector machine intelligent algorithm are used to build a rolling power demand forecasting method based on the development of power economy. By considering the impact of special periods on power demand, this paper forecasts the power demand for special period in Beijing, Tianjin and Tangshan. Finally, the analysis shows that the electricity demand in Beijing, Tianjin and Tangshan in 2017 is 3,337 billion kwh.

    Received: Dec. 13, 2017 Accepted: Jan. 6, 2018 Published: Jan. 19, 2018

    DOI: 10.11648/ View: Downloads:

  • Authors: Opaleye Olusola Ayobami, Quadri Ajibola Ibrahim

    Abstract: This research investigated the reliability of a newly designed steel roof truss system of an industrial building to be constructed in one of the major cities in Nigeria. The probabilistic analysis technique was done with the aid of CalREL, a general-purpose structural reliability analysis software program. The longest span truss element (consisting of 73 members), is the most critical in the system, was selected and first analysed using SAP2000 Advanced 12.0.0 finite element analysis (FEA) software program in order to obtain the forces in the steel truss members; this forms part of the inputs required in CalREL. Four load variations (referred to as load ratios in the study) were tested on the selected truss. The strengths of the truss members and other properties were determined as specified in BS 5950-1: 2000. Limit state equations were derived for the calculation of the probability of failure of the individual members of the truss system. A reliability index as a measure of structural performance and related to the probability of failure was developed for all the elements of the truss. The results showed that compression members displayed a noticeable violation of the ultimate limit state requirement, while tension members showed a negligible violation. Sensitivity factors that reflect the relative importance of the individual variables in the design of roof trusses were also presented. The estimated reliability indices also revealed structural members that require immediate redesign; though they appear satisfactory in the level of deterministic design. A probabilistic approach for the reappraisal of new and existing civil structures is well supported by the findings of this investigation.

    Received: Dec. 18, 2017 Accepted: Jan. 2, 2018 Published: Jan. 19, 2018

    DOI: 10.11648/ View: Downloads:

  • Author: Deny Jollyta

    Abstract: The selection of the location of property development becomes an important thing for the property company. The location must match the company's target. Locations that do not meet the criteria will pose problems such as large costs incurred in development, long construction completion time and marketing difficulties where low consumer interest in property so that the firm must lower the selling price. Therefore the location is selected based on several criteria. Typically, property firms have different location criteria. However, the criteria used concern the structure of the soil to the completeness of the correspondence. In this study, the selection of 3 locations of property development, A, B and C, through a decision support system. A total of 32 predefined criteria are processed using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is one of the decision support methods that can solve multi criteria problems and can produce decisions quickly and precisely. Land data, criteria, alternatives, weighting criteria, survey results and criteria values are internal data used in this system. TOPSIS results show that location A is the best location because it has the highest preference value of 0.6. That is, location A has the shortest distance from the positive ideal solution and the furthest distance from the negative ideal solution.

    Received: Feb. 8, 2018 Accepted: Feb. 25, 2018 Published: Mar. 20, 2018

    DOI: 10.11648/ View: Downloads: