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Volume 7 ~ Issue 7 ~ Version 1 (July 2017)

 


Paper Type

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Research Paper

Title

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Identification of Tight Glutenite Reservoir Lithology Based On Machine Learning

Country

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China

Authors

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DanCheng || Yaqi Zuo || Mingrui Chai || Qinghan Long || Huixing Wang

Page No.

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01-04

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In order to solve the problems of low accuracy and poor generalization ability, a new method to identify lithology by machine learning is proposed.In Mahu depression X723 wells Baikouquan formation as an example, first of all, the logging data standardization, eliminate the differences between classes of data; secondly, feature selection, selection of sensitive to lithology logging data; finally, using random forest, BP neural network, C5.0, SVM models. The results show that the machine learning methods on the accuracy of area lithology identification with high rate of up to 87.5%. The method is novel and effective, and can be popularized.

 

Keywords: Identify lithology; Mahu depression; machine learning methods

[1]. Larose D T. Data Mining Methods and Models. New York: John Wiley & Sons, Inc., 2005.
[2]. Mohaghegh S D. A new methodology for the identification of best practices in the oil and gas industry, using intelligent systems. Journal of Petroleum Science and Engineering, 2005,49(3~4):239~260.
[3]. Guangren Shi, Xingxi Zhou, Guangya Zhang, et al. The use of artificial neural network analysis and multiple regression for trap quality evaluation: A case study of the Northern Kuqa Depression of Tarim Basin in western China. Marine and Petroleum Geology, 2004,21(3):411~420.
[4]. Tan P , Steinbach M and Kumar V.Introduction to Data Mining .A ddison Wesley , 2005
[5]. Witten I H and Frank E.Data Mining:Practical Machine Learning Tools and Techniques .Seco nd E-dition, M o rgan K aufmann , 2005.

 

Paper Type

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Research Paper

Title

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Simulation Investigation over 1680km WDM Transmission System Reviewing NRZ and RZ Modulation Formats

Country

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Bangladesh

Authors

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Abdul Gafur

Page No.

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05-11

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The investigation of a 16x10Gbps WDM transmission system on 0.8nm channel spacing over 1680km optical link distance with Single Mode Fiber (SMF) is predicted. Two different modulation techniques namely NRZ and RZ are examined. It is analyzed the BER, Q values and eye opening factor for this model using two different modulation formats. The simulation results show the dominance of WDM transmission exploiting NRZ encoding technique for long-haul optical transmission system. It is found that Q penalty is 0.68dB for channel 1 and 0.24dB for channel 8 considering eye diagrams with respect to NRZ and RZ modulation formats.

 

Keywords: WDM, EDFA, SMF, DCF, BER, Q Factor, Eye opening factor

[1] G. Bosco,A. Carena, V. Curri, R. Gaudino, and P. Poggiolini, “On the Use of NRZ, RZ, and CSRZ Modulation at 40 Gb/s With Narrow DWDM Channel Spacing”, JLT, VOL. 20, NO. 9, SEPTEMBER 2002

[2] Monirul Islam, N. Ahmed, Sharafat Ali, S. A. Aljunid, R. B. Ahmad, Md. Shawkat Ali, “Hybrid (OCDMA/WDM) System with DPSK Modulation Using Different Detection Technique at Bit Rate 2.5Gbps for Optical Access Network”, IJMOT, VOL.11, NO.4, JULY 2016

[3] Rajdi AGALLIU, “Comparison of Modulation Formats in Fiber-Optic Transmission Systems”, POSTER 2015, PRAGUE MAY 14

[4] Rupinder Kaur, Sanjeev Dewra, “Evaluation of Wavelength Division MultiplexingSystem using Different Modulation Formats”, IJARCCE, Vol. 4, Issue 6, June2015

[5] Jinyu Mo, Yang Jing Wen, Yi Dong, Yixin Wang, Chao Lu, “Generation, detection and characterization of optical minimum shift keying data format”, Optics Communications 270, 396–401(2007)..

 

Paper Type

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Research Paper

Title

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Hybrid Power Control System

Country

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Nigeria

Authors

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Henry Oghenemine D || Fredrick Ilogho || Oladipo Folorunso

Page No.

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12-17

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A Hybrid Power Control System (HPCS) that gives out a single output has been designed to enable the automatic operation and transfer of power supply from three sources (public utility supply, photovoltaic system and ac generator). The Hybrid Power Control System provides a functional system that provides an automatic switching of power supply between the primary source (public utility) and two alternative sources (photovoltaic system and generator). The method employed in designing the HPCS involves the use of contactors, ATMEGA16L microcontroller, relay and motor drivers as part of the major components in the design. Also incorporated in the HPCS is a 12Vdc and a 5Vdc power supply unit, optocouplers and a liquid crystal display (LCD) for displaying the status of the HPCS at any particular time. The hybrid power control system demonstrates its ability to perform automatic power change over activities with no human interaction.

 

Keywords: Hybrid Power Control System (HPCS), Automatic Transfer Switch (ATS), relays, contactors.

[1]. Agbetuyi, A. F., Adewale, A. A., Ogunluyi, J. O., & Ogunleye, D. S. (2011). Design and Construction of an Automatic Transfer Switch for a Single Phase Power Generator. International Journal of Scientific and Engineering Research, 2(May), 1–8.
[2]. Ahmed, M. S., Mohammed, A. S., & Agusiobo, O. B. (2006). Development of a Single Phase Automatic Change Over Switch. AU Journal of Technicial Report, 10(1), 68–74.
[3]. Amuzuvi, C. K., & Addo, E. (2015). A Microcontroller Based Automatic Transfer Switching System for a Standby Electric Generator. Ghana Mining Journal, 15(1), 85–92.
[4]. Brown, B., Guditis, J., Critical, S. D., & Competency, P. (2006). Critical-Power Automatic Transfer Systems – Design and Application. IEEE Central TN Section, 1(August), 1–18.
[5]. C, E. K., Uchenna, N., Henry, O. kelechi, & Amaka, E. (2015). Microcontroller Based Power Change-Over Switching System With Generator Shutdown. Journal of Multidisciplinary Engineering Science and Technology, 2(8), 2184–2189.

 

Paper Type

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Research Paper

Title

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An Improved Association Rule Mining Algorithm Based on Apriori and Ant Colony approaches

Country

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Saudi Arabia

Authors

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Dr.Hussam M. Al Shorman || Dr.Yosef Hasan Jbara

Page No.

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18-23

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The Knowledge Discovery in Databases (KDD) field of data mining is useful in finding trends, patterns and anomalies in the databases which is helpful to make accurate decisions for the future. Association rule mining is an important topic in data mining field. Association rule mining finds collections of data attributes that are statistically related to the data available. Apriori algorithm generates all significant association rules between items in the database. Besides, ACO algorithms are probabilistic techniques for solving computational problems that are based in finding as good as possible paths through graphs by imitating the ants' search for food................

 

Keywords: .........

[1] Chen C.-H., Hong T.-P., and Tseng V.S., A Cluster-Based Fuzzy-Genetic Mining Approach for Association Rules and Membership Functions, IEEE International Conference on Fuzzy Systems, pp. 1411 - 1416, 2006.
[2] Kayaa M., Alhajj R., Genetic algorithm based framework for mining fuzzy association rules, Fuzzy Sets and Systems , Vol. 152, No. 3, pp. 587-601, 2005.
[3] Tsay Y. J., Chiang J. Y., CBAR: an efficient method for mining association rules, Knowledge] Based Systems,Vol. 18, No. 2-3, pp. 99-105, 2005.
[4] Agrawal R., Imielinski T., and Swami, A., Mining association rules between sets of items in large databases, In proceedings of ACM SIGMOD conference on management of data, pp. 207-206, 1993.
[5] Agrawal R., Sirkant R., Fast algorithms for mining association rules, In proceedings of the 20th international conference on very large databases, Santiago, Chile,1994.