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Search Results: 1 - 10 of 22990 matches for " Mohammed Al-Maolegi "
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An Improved Apriori Algorithm for Association Rules
Mohammed Al-Maolegi,Bassam Arkok
Computer Science , 2014,
Abstract: There are several mining algorithms of association rules. One of the most popular algorithms is Apriori that is used to extract frequent itemsets from large database and getting the association rule for discovering the knowledge. Based on this algorithm, this paper indicates the limitation of the original Apriori algorithm of wasting time for scanning the whole database searching on the frequent itemsets, and presents an improvement on Apriori by reducing that wasted time depending on scanning only some transactions. The paper shows by experimental results with several groups of transactions, and with several values of minimum support that applied on the original Apriori and our implemented improved Apriori that our improved Apriori reduces the time consumed by 67.38% in comparison with the original Apriori, and makes the Apriori algorithm more efficient and less time consuming.
The Correlation among Software Complexity Metrics with Case Study
Yahya Tashtoush,Mohammed Al-Maolegi,Bassam Arkok
Computer Science , 2014,
Abstract: People demand for software quality is growing increasingly, thus different scales for the software are growing fast to handle the quality of software. The software complexity metric is one of the measurements that use some of the internal attributes or characteristics of software to know how they effect on the software quality. In this paper, we cover some of more efficient software complexity metrics such as Cyclomatic complexity, line of code and Hallstead complexity metric. This paper presents their impacts on the software quality. It also discusses and analyzes the correlation between them. It finally reveals their relation with the number of errors using a real dataset as a case study.
Building A Smart Academic Advising System Using Association Rule Mining
Raed Shatnawi,Qutaibah Althebyan,Baraq Ghalib,Mohammed Al-Maolegi
Computer Science , 2014,
Abstract: In an academic environment, student advising is considered a paramount activity for both advisors and student to improve the academic performance of students. In universities of large numbers of students, advising is a time-consuming activity that may take a considerable effort of advisors and university administration in guiding students to complete their registration successfully and efficiently. Current systems are traditional and depend greatly on the effort of the advisor to find the best selection of courses to improve students performance. There is a need for a smart system that can advise a large number of students every semester. In this paper, we propose a smart system that uses association rule mining to help both students and advisors in selecting and prioritizing courses. The system helps students to improve their performance by suggesting courses that meet their current needs and at the same time improve their academic performance. The system uses association rule mining to find associations between courses that have been registered by students in many previous semesters. The system successfully generates a list of association rules that guide a particular student to select courses registered by similar students.
Comparison of the Bayesian Methods on Interval-Censored Data for Weibull Distribution  [PDF]
Al Omari Mohammed Ahmed
Open Journal of Statistics (OJS) , 2014, DOI: 10.4236/ojs.2014.48053
Abstract: This study considers the estimation of Maximum Likelihood Estimator and the Bayesian Estimator of the Weibull distribution with interval-censored data. The Bayesian estimation can’t be used to solve the parameters analytically and therefore Markov Chain Monte Carlo is used, where the full conditional distribution for the scale and shape parameters are obtained via Metropolis-Hastings algorithm. Also Lindley’s approximation is used. The two methods are compared to maximum likelihood counterparts and the comparisons are made with respect to the mean square error (MSE) to determine the best for estimating of the scale and shape parameters.
Structural Behavior of Tall Building Raft Foundations in Earthquake Zones  [PDF]
Mohammed S. Al- Ansari
Open Journal of Earthquake Research (OJER) , 2017, DOI: 10.4236/ojer.2017.64011
Abstract:
The paper studies the behavior of reinforced concrete raft foundations for multi-story buildings. It also develops a reliability assessment tool for multi- story building raft foundations subjected to earthquake loading. Several multi-story buildings with various configurations, heights, and soil profiles, were subjected to several ACI code combinations of gravity and earthquake loads from different seismic zones. The reliability of the raft foundations of these buildings was assessed using the reliability index approach based on their resistance to the applied loads. Also, the responses of the multi-story buildings under these loading combinations were studied and analyzed in order to draw recommendations and guidelines for the preliminary design of structurally efficient and reliable raft foundations in earthquake zones.
Solving the Three-Dimensional Palet-Paking Problem Using Mixed 0 - 1 Model  [PDF]
Adel Mohammed Al-Shayea
Journal of Service Science and Management (JSSM) , 2011, DOI: 10.4236/jssm.2011.44059
Abstract: The distribution of Pallet Packing Problem is to load a set of distinct boxes with given dimensions on pallets or in con- tainers to maximize volume utilization. This problem is still in its early stages of research, but there is a high level of interest in developing effective models to solve this NP-hard problem to reduce the time, energy and other resources spent in packing pallets. In this paper, the three-dimensional pallet loading with mixed box sizes model has been developed. This loading model allows many boxes of various sizes to be placed onto the same pallet. The model also considers the number or proportion of each box size that can be loaded on a pallet. No restrictions are placed on the dimensions of the boxes, the pallets, or the number of different box sizes that can be considered. Therefore, the objective of this work is to determine how to most efficiently load a given pallet by maximizing the volume occupied by its load of boxes. Tests on several problems were implemented using OR library in order to show the validation of the proposed model. The results showed that the formulated mixed 0 - 1 models provide exact solutions for the pallet-packing problem. The computational time requirements of the developed model prevent its use in real-time palletizing applications. As microcomputer chip technology continues to evolve the lengthy computation time may prove to be less of a problem in real time applications.
Reliability Index of Tall Buildings in Earthquake Zones  [PDF]
Mohammed S. Al-Ansari
Open Journal of Earthquake Research (OJER) , 2013, DOI: 10.4236/ojer.2013.23005
Abstract:

The paper develops a reliability index approach to assess the reliability of tall buildings subjected to earthquake loading. The reliability index β model measures the level of reliability of tall buildings in earthquake zones based on their response to earthquake loading and according to their design code. The reliability index model is flexible and can be used for: 1) all types of concrete and steel buildings and 2) all local and international codes of design. Each design code has its unique reliability index β as a magnitude and the interaction chart corresponding to it. The interaction chart is a very useful tool in determining the building drift for the desired level of reliability during the preliminary design of the building members. The assessments obtained using the reliability index approach of simulated, tested, and actual buildings in earthquake zones were acceptable as indicators of the buildings reliability.

Down Scaling Interest in Interest Rate  [PDF]
Mohammed H. S. Al Ashry
Theoretical Economics Letters (TEL) , 2015, DOI: 10.4236/tel.2015.51012
Abstract: During periods of high interest rates, businesses utilize their own capital, merge with other businesses, or diversify, and borrow when it is absolutely necessary. People also avoid hardship through refinancing during economic slowdowns because interest rates are low enough to recover some of their income and lower debt interest. High interest rates are more inviting to investments although hard to sustain in the long run. The future looks grim and interest rates have been down for a while, and will probably stay down for some time to come. This paper investigates ways to lower the earnings percentage in interest rates. A new set of the uniform series of the future worth of money involving linear gradients will be mathematically reformulated to investigate the possibility of lowering the interest rate for long term loans and mortgages. A new equation will be formulated and put into a tabulated practical example.
Large Scale Desalination: A Comparative Cost Affective Economic Analyses of Nuclear, Gas and Solar Powered Plants  [PDF]
Mohammed H. S. Al Ashry
Theoretical Economics Letters (TEL) , 2015, DOI: 10.4236/tel.2015.51015
Abstract: The main objective, here, is to explore the economic viability of the solar powered desalination method through a cost and benefit comparative and contrast study. Using the initial construction expenditure, the annual maintenance cost and energy consumed or produced, a variance ratio test of the random walk hypothesis will be implemented to determine their relative financial efficiency. This paper will also utilize the first order autoregressive multivariate estimation model to analyze the methods and identify the most productive process with most financial promise for future investment. The total deviations of the estimated variables from the actual are accounted for by the variations of the variances of the estimates from the actual. The higher the percentage of the unexplained deviation, the higher the risk involved. The portfolio variance will be utilized to measure the investment risk in three desalination industries.
Augmenting the Heat Sink for Better Heat Dissipation  [PDF]
Mohammed H. S. Al Ashry
Circuits and Systems (CS) , 2015, DOI: 10.4236/cs.2015.62003
Abstract: Heat sinks were invented to absorb heat from an electronic circuit conduct, and then to dissipate or radiate this heat to the surrounding supposedly, ventilated space, at a rate equal to or faster than that of its buildup. Ventilation was not initially recognized as an essential factor to thermal dispersion. However, as electronic circuit-boards continued to heat up, circuit failure became a problem, forcing the inclusion of miniaturized high speed fans. Later, heat sinks with fins and quiet fans were incorporated in most manufactured circuits. Now heat sinks come in the form of a fan with fans made to function as fins to disperse heat. Heat sinks absorb and radiate excess heat from circuit-boards in order to prolong the circuit’s life span. The higher the thermal conductivity of the material used the more efficient and effective the heat sink is. This paper is an attempt to theoretically design a heat sink with a temperature gradient lower than that of the circuit board’s excess heat.
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