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Volume-7 Issue-4, September 2017, ISSN:  2231-2307 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.

1.

Authors:

E. Baloui Jamkhaneh

Paper Title:

System Reliability using Generalized Intuitionistic Fuzzy Exponential Lifetime Distribution

Abstract:  The aim of this paper is investigates the reliability characteristics of systems using generalized intuitionistic fuzzy exponential lifetime distribution, in which the lifetime parameter is assumed to be generalized intuitionistic fuzzy number. Generalized intuitionistic fuzzy reliability, generalized intuitionistic fuzzy hazard function, generalized intuitionistic fuzzy mean time to failure and their (α_1,α_2)-cut have been discussed when systems follow generalized intuitionistic fuzzy exponential lifetime distribution. Further, reliability analysis of the series and parallel systems has been done.

Keywords:
generalized intuitionistic fuzzy number (GIFN), (α_1,α_2)-cut, generalized intuitionistic fuzzy distribution, generalized intuitionistic fuzzy reliability.

References:
1.       L. A.  Zadeh, “Fuzzy sets”, Information and Control, 8(3), 1965, pp. 338-356.
2.       D. Singer, “A fuzzy set approach to fault tree and reliability analysis”, Fuzzy Sets and Systems, 34, 1990, pp. 145-155.

3.       K.Y. Cai, C.Y. Wen and M. L Zhang, “Fuzzy states as a basis for a theory of fuzzy reliability, Microelectronic Reliability, 33, 1993, pp. 2253-2263.

4.       S. M. Chen, “Fuzzy system reliability analysis using fuzzy number arithmetic operations”, Fuzzy Sets and Systems, 64, 1994, pp. 31-38.

5.       D.L. Mong, C.H. Cheng,“Fuzzy system reliability analysis for components with different membership functions”, Fuzzy Sets and Systems, 64, 1994, pp. 145–157.

6.       D. Pandey, S.K.  Tyagi, “Profust reliability of a gracefully degradable system”, Fuzzy Sets and Systems, 158, 2007, pp. 794-803.

7.       D. Pandey, S.K.  Tyagi, V. Kumar, “Failure mode screening using fuzzy set theory”, International Mathematical Forum, 4(16), 2009, pp. 779-794.

8.       E. Baloui Jamkhaneh,  “An evaluation of the systems reliability using fuzzy lifetime distribution”, Journal of Applied Mathematics, Islamic Azad University of Lahijan, 7(28), 2011, pp. 73-80.

9.       E. Baloui. Jamkhaneh, “ Analyzing system reliability using fuzzy Weibull lifetime distribution”, International Journal of Applied Operational Research, Islamic Azad University of Lahijan, 4, 2014,pp. 93-102.

10.    K.  Atanassov, “ Intuitionistic Fuzzy Sets,” Fuzzy Sets and Systems, 20, 1986, pp. 87-96.

11.    P. Burillo, H. Bustince, V. Mohedano, “Some definition of intuitionistic fuzzy number”, Fuzzy based expert systems, fuzzy Bulgarian enthusiasts, September 28-30, 1994, Sofia, Bulgaria.

12.    G. S. Mahapatra, T.K. Roy, “Reliability evaluation using triangular intuitionistic fuzzy numbers arithmetic operations”, World Academy of Science, Engineering and Technology, 50, 2009, pp. 574-580.

13.    G. S. Mahapatra, B.S. Mahapatra, “ Intuitionistic fuzzy fault tree analysis using intuitionistic fuzzy numbers”, International Mathematical Forum, 5(21), 2010, pp. 1015 – 1024.

14.    D. Pandey, S.K.  Tyagi, V. Kumar, “Reliability analysis of a series and parallel network using triangular intuitionistic fuzzy sets”, Applications and Applied Mathematics: An International Journal, 6(11), 2011, pp. 1845– 1855.

15.    M. Kumar, S.P. Yadav, S. Kumar, “A new approach for analyzing the fuzzy system reliability using intuitionistic fuzzy number”, International Journal Industrial and Systems Engineering 8(2), 2011, pp. 135–156.

16.    M. Kumar, S.P. Yadav,  “Analyzing fuzzy system reliability using arithmetic operations on different types of  intuitionistic fuzzy numbers”,  In: Deep K., Nagar A., Pant M., Bansal J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, Advances in Intelligent and Soft Computing, vol 130, Springer, India.

17.    M. K. Sharma, “Reliability analysis of a system using intuitionistic fuzzy sets”, International Journal of Soft Computing and Engineering, 2, 2012, pp. 431-440.

18.    H. Garg, M. Rani, S.P. Sharma, “Reliability Analysis of the Engineering Systems Using Intuitionistic Fuzzy Set Theory”, Journal of Quality and Reliability Engineering, vol. 2013, Article ID 943972, 10 pages, 1993, doi:10.1155/2013/943972.

19.    H. Garg, M. Rani, “An approach for reliability analysis of industrial systems using PSO and IFS technique”, ISA Transactions, 52(6), 2013, pp. 701-710. DOI:10.1016/j.isatra.2013.06.010.

20.    K. S. Bohra, S. B.  Singh, “Evaluating fuzzy system reliability using intuitionistic fuzzy Rayleigh lifetime distribution, Mathematics in Engineering”, Science and Aerospace, 6(2), 2015,  pp. 245-254 .

21.    P. Kumar, S.B. Singh, “Fuzzy system reliability using intuitionistic fuzzy Weibull lifetime distribution”, International Journal of Reliability and Applications , 16(1), 2015, pp. 15-26.

22.    P. Kumar, S.B. Singh, “Fuzzy system reliability using generalized trapezoidal intuitionistic fuzzy number with some arithmetic operations”, Nonlinear Studies, 24(1), 2017, pp. 139-157.

23.    E. Baloui Jamkhaneh, S. Nadarajah, “A new generalized intuitionistic fuzzy sets”, Hacettepe Journal of Mathematics and Statistics, 44 (6), 2015, pp. 1537 – 1551.

24.    A. Shabani, E. Baloui Jamkhaneh, “A new generalized intuitionistic fuzzy number”, Journal of Fuzzy Set Valued Analysis, 2014, pp. 1-10.

 

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2.

Authors:

Jyoti Kumawat, Mukesh Kumar Yadav

Paper Title:

Synthesis of Effect of Self Heating Effect on Electrical Characteristics in SOI MOSFET

Abstract: This article describes the use of silvaco TCAD tools to develop SOI MOSFET technology and device simulation results. The purpose of this simulation is to investigate the effect of self heating effect on the electrical properties of the device. The results show that the impact of self heating phenomenon on the Id-Vd curve. The device was manufactured using ATHENA software, and the simulation was done with the help of ATLAS software. All charts were made using Silvaco. We briefly introduce SOI MOSFETs Transistors and problems at high temperatures Self-heating effect, and then we present the simulation results get related using the SILVACO TCAD tool SOI n-MOSFET structure. We will also show some of the simulation results we have obtained The effect of temperature changes on our structure directly affect its drain current.

Keywords:
SOI technology, SOI MOSFET, Self-heating effects, Silvaco Software, Silicon-On-Insulator, MOSFET, Silvaco, ATHENA, ATLAS.


References:

1.       A.K. Goel_, T.H. Tan, High-temperature and self-heating effects in fully depleted SOI MOSFETs Microelectronics  Journal 37 (2006)     963–975.
2.       J.  P.  Colinge,  Silicon-on-Insulator  Technology:  Materials    toVLSI. Boston, MA: Kluwer, 1991.

3.       Wei Ma thesis, Linearity Analysis of Single and Double-Gate Silicon-On-Insulator Metal-Oxide-Semiconductor-Field-Effect- Transistor, Ohio University, August 2004.

4.       Alexandre    SILIGARIS    « Modélisation    grand    signal    de MOSFET  en hyperfréquences : application  à l’étude  des  non linéarités    des    filières    SOI »   Thèse    de   doctorat    2004- UNIVERSITE   DES   SCIENCE   ET   TECHNOLOGIES   DE LILLE.

5.       http://docinsa.insa-lyon.fr/these/pont.php?id=daviot

6.       G.K. Celler, S. Cristoloveanu, Journal of Applied Physics, Vol.93, no. 9, p. 4955,2003.

7.       F.S.  Shoucair,  W.  Hwang,  Electrical  characteristics  of  large scale integration (LSI) MOSFETs at very high temperatures part II: experiment, Microelectron. Reliab. 24(3) (1984) 497–510.

8.       Cristoloveanu, Sorin. "Introduction to silicon on insulator materials and

9.       devices." Microelectronic engineering 39.1 (1997): 145-154.

10.    Lim, Hyung-Kyu, and Jerry G. Fossum. "Threshold voltage of thin-film

11.    Silicon-on-insulator (SOI) MOSFET's." Electron Devices, IEEE Transactions on 30.10 (1983): 1244-1251.

12.    Bergveld, P. "ISFET, theory and practice." IEEE Sensor Conference Toronto. Vol. 10. 2003.

13.    Aydin, C., et al. "Double Gate Coupling and Quantum Tunneling in Ultrathin SOI MOSFETs." Future Trends in Microelectronics, Wiley & Sons (2004).

14.    H. J. Jang, and W. J. Cho,  “Performance enhancement of capacitive-coupling dual-gate ion-sensitive field-effect transistor in ultra-thin-body”, Scientific Reports 4, 2014.

 

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3.

Authors:

P. Julia Grace, S. Sumathy

Paper Title:

Hardware Based Offline Licensing System

Abstract:  Software licensing allows to get paid for each copy of the software. This paper is about licensing the software for any application. Normally software can be copied by one (or) more users without the knowledge of the owner. In order to avoid the situation, this work is proposed. To make Gas Booking work easy, the application is designed using ASP.NET and SQL SERVER 2005.

Keywords:
 offline Licensing system, MAC address, Gas agency.

References:
1.    Jesse Liberty, Dan Hurwitz – Programming using .NET Technology. Complete   Reference-Wiley publications, Newyork 2006 3rd edition
2.    Lim., “New Technology in Computer Science “MSIS, University of Auckland, New Zealand, 2000. 2nd edition

3.    Randy C.Marchany, Joseph G.Tront, “Implementing projects in .Net”, Proceedings of the    Hawaii International conference on Systems, January 2002.7th edition

4.    Meyers, B.C. and Obendorf, P., (2001). Managing Software Acquisition: Open Systems and COTS Products, Addison-Wesley, New York.

5.    Arand, Kevin, Software Piracy/Copyright Issues http://cerebro.xu.edu/~arand/csci380 /papers/piracy.htm, Xavier University Computer Science. April 2002.

6.    Bertrand Anckaert, Bjorn De Sutter, Koen De Bosschere, Software Piracy Prevention through Diversity DRM’04, October 25, 2004, Washington, DC, USA. 2004 ACM 1-58113-969-1/04/0010

7.    H. Chang and M. Atallah. Protecting software code by guards. Security and Privacy in Digital Rights Management,LNC S, 2320:160–175, 2002.

8.    George Coulouris, Jean Dollimore & Tim Kindberg. Election Algorithm, Bully Algo & Ring based algo. In Distributed Systems page 445-448, 2006

9.    http://www.ubicc.org/files/pdf/DISTRIBUTED%20SOFTWARE%20AND%20LICENSE%20KEY%20MANAGEMENT%20%E2

%80%9CAN%20INITIATATIVE%20TO%20STOP%20SOFTWARE%20PIRACY_404.pdf

 

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4.

Authors:

Grace Wangari Karanja, Abednego Gwaya, Wanyona Githae

Paper Title:

A Framework for Construction Supply Chain Management in Kenya: A Case for Targeted Construction Completion Time

Abstract:   The Kenyan Construction industry is crucial for the growth of the country’s economy. According to S.D Khutale et al. 2013 output from the Kenyan construction industry is a major and integral part of the nations GDP. The Kenyan National Bureau of statistics (2014) recorded the Gross domestic Product (GDP) for years 2010, 2011 and 2012 was 4.5%, 4.3% and 4.8% respectively. The construction industry is increasingly becoming competitive hence focus is increasingly being on improving performance. Based on these observations and government reports, kimondo et al.(2015) proposed construction supply chain management as a solution to the perennial problem of failure to meet target completion time on construction projects. A survey approach covering 140 randomly selected construction sites whose companies were duly registered by NCA in Nairobi was used. The findings revealed a positive and significant relationship between CSC practices, CSC characteristics, CSC outcomes, CSCM frameworks and targeted project completion time. Based on the findings, the study concluded that construction supply chain management influences the performance of targeted project completion time for construction firms within Nairobi County. The study developed a framework and recommended that construction firms work by adopting the framework to improve on their attributes; and ensure that their outcomes are successful hence meeting the construction project targeted time. Finally, the study recommended that similar studies should be conducted in other Counties for comparison purposes.

Keywords:
Construction supply chain, Construction Supply chain Management, Construction Project, Targeted ompletion time.        


References:

1.        Benton, W.C, Jr. Linda F. McHenry, (2010) Construction Purchasing & Supply Chain Management, McGraw-Hill, New York.
2.        Briscoe, G. and dainty, A., (2005), Construction Supply Chain Integration: an Elusive Goal?. Supply Chain Management: An International Journal, 10(4), pp. 319-325.

3.        Dubois, A. and Gadde, L.-E. (2000), “Supply strategy and network effects – purchasing behaviour in the construction industry”, European Journal of Purchasing & Supply Management, Vol. 6 Nos 3-4, pp. 207-15.

4.        Economic Survey (2014) published by the Kenya National Bureau of Statistics KNBS, ISBN: 978-9966-102-00-3, pp 21.

5.        Economic Survey (2015) published by the Kenya National Bureau of Statistics KNBS..

6.        Fernie S.and Tennat S. (2014), “Theory to Practice: A typology of Supply Chain management in Construction.” International Journal of Construction Management 14 (1) page 56-66.

7.        Green, S.D., Fernie, S. and Weller, S. (2005) Making sense of supply chain management: a comparative study of aerospace and construction. Construction Management and Economics, 23, 579–593

8.        Kimondo, J. M. ; Mutuku R. & Winja O.(2015), “Dynamics of Supply Chain Management in the Kenyan Construction Industry: A Case Study of National Irrigation Board” International Journal of Innovative Scientific & Engineering Technologies Research 3(4):1-14.Love, P. E. D., Irani, Z. & David, J. E. (2004). A seamless supply chain management model for construction. Supply Chain Management: An International Journal, 9(1), 43-56.

9.        Kimari Gitau Peter (2000) “Construction Process in Kenya with reference to Hazina Housing Estate” Housing Development & Management – HDM, ICM2000, Lund University.

10.     Kimemia James Gacheru (2015) “Determinants of Projects Delay In The Construction Industry In Kenya; The Case Of Selected Road Projects Implemented By Kenya National Highways Authority In Kenya’s Coast Region” unpublished Master’s Thesis, University of Nairobi.

11.     Mehdi Riazi, Salman Riazi, Skitmore, Martin, & Cheung, Yan Ki Fiona (2011) The use of supply chain management to reduce delays : Malaysian public sector construction projects. In Proceedings of the 6th Nordic Conference on Construction Economics and Organisation in Society Volume 2, Danish Building Research Institute, Aalborg University, Copenhagen, Denmark, pp. 403-414.”

12.     Mulla Aneesa.I , Dr. A.K.Gupta , Prof. D.B.Desai “Supply Chain Management: Effective Tool in Construction Industry” International Journal of Novel Research in Engineering and Science Vol. 2, Issue 1, pp: (35-40), Month: March 2015 - August 2015.

13.     Magalhães-mendes Jorge, Fernanda Rodrigues Maria, Miguel d. F. Ferreira Luís  (2012) “Construction supply chain management: a Portuguese case study.”  A paper presented at 3rd European Conference of Civil Engineering (ECCIE’12) .

14.     O’Brien, W. J. (1998) Capacity Costing Approaches for Construction Supply-Chain Management. Ph.D. dissertation, Stanford University.
15.     O’Brien W. J, London K, Vrijhoef R. (2002) “Construction supply chain modeling: a research review and interdisciplinary research agenda” a paper presented in the 10th Annual Conference in the International Group for Lean Construction, Gramado, Brazil.
16.     Oswald A. G, Masu S. M, O. W. O. “The Role of Servant Leadership in Project Management in Kenya” International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-4 Issue-5, November 2014

17.     Outa Michael Ochieng , Dr. Mbithi Shedrack , Dr. Musiega Douglas “Role of Cost Estimation On Timeliness In Completion of Kenya National Government Building Construction Projects.” International Journal of Management Research & Review ISSN: 2249-7196 IJMRR/May 2015/ Volume 5/Issue 5/Article No-1/285-295.

18.     William, W. H., (2006). Dynamics of perceptions and actions. American psychological association , 113, (2), 358-389

 

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5.

Authors:

Emin Borandag, Fatih Yucalar

Paper Title:

Audio News Reading System for Visually Handicapped People

Abstract: Visually handicapped people need to access news sites in an easy way in order to benefit from the working conditions and social rights in their daily lives. Today, there are a variety of software developed abroad with different features for the use of visually handicapped people living in our country. In this study, a software named “Audio News” converting text to speech was developed for visually handicapped people by using possibilities of mobile technology. This software will allow them to listen news on national news sites by entering them with a convenient, easy and fast interface. This software enable visually handicapped people to access information on the news portals. In addition, the usability of information technologies for visually handicapped people was questioned and some suggestions are made for the software developed along with national and international studies in the literature.

Keywords:
 Audio, Software Developed, Handicapped People


References:

1.       T.C. Başbakanlık Türkiye İstatistik Kurumu. Haber Bülteni. “Özürlüler İdaresi Başkanlığı Özürlülerin Sorun ve Beklentileri Araştırması”, Ulusal Özürlüler Database, June 2010. Number 71. 
2.       T.C. Başbakanlık Türkiye İstatistik Kurumu. Engelli İstatistikleri. Available: http://www.tuik.gov.tr/PreTablo.do?alt_id=1017 , 2014

3.       Code Factory Mobile Geo and Mobile Speak (2014). Available: http://www.codefactory.es. 2014.

4.       Freedom Scientific JAWS Available: http://www.freedomscientific.com. 2014.

5.       Handy Tech Talks&Zooms and TextScout Available: https://www.handytech.de. 2014.

6.       NV Access NVDA Available: http://www.nvaccess.org. , 2014.

7.       Microsoft Voice Command. “Microsoft Gives Mobile Devices a New Voice” (2003). Available: http://www.microsoft.com/en-us/news/press/2003/nov03/11
03voicecommandlaunch2003pr.aspx, 2014.

8.       Cyberon Corporation Voice Commander Available: http://www.cyberon.com.tw/english. 2014.

9.       eSpeak Open source project.Available: http://espeak.sourceforge.net. Available:2010

 

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6.

Authors:

Muhammad A. R Yass, Mohammed Wajeeh Ameen

Paper Title:

Pitch Mode Control System Design of Guided Missile

Abstract:  In this paper, the analysis of non-homogenous longitudinal equation of motion for transport Airplane in pitch mode to estimate and calculate the performance of the dynamic motion and Transfer function in pitch mode. The pitch feedback control system diagram with actuator Design to calculate the behavior using time response method for different gain values (K) and Different Gyro sensitivity values (GR) to obtain the best stability, peak value and time response. The results shows that the best stability and control behavior achieved when K=1.41 and GR= 1.19.

Keywords:
control system, stability, aerodynamic


References:

1.    Etkin “Dynamics of Flight Stability and Control “John Willey, 2002. http:www.Amazon Online Reader Dynamics of Flight Stability and Control.mht
2.    P.garnell and D.J. East "Guided weapon Control System" Royal military college of science, England, 2001. www.amazon.com/Guided-Weapon-Control-Systems-Garnell/dp/0080254683 - 204k -

3.    John H. Block lock "Automatic Control of Aircraft and Missiles" John Willey and sonic, 2006. ttp:www.Amazon_com Automatic Control of Aircraft and Missiles John H_ Blake lock Books.mht

4.    Alan Pope "Aerodynamic Of Supersonic Flight Optimum Aeronautical Publications"2002.n http:www .Amazon_com Used and New AERODYNAMICS OF SUPERSONIC FLIGHT an Introduction.mht

5.    J.J D'Azzo. C.H.Houpis "Feedback Control System Analysis and Synthesis” Mc Graw. Hill, .2006.  http:www.Customer Image Gallery for Feedback Control System Analysis and Synthesis.mht 7. John J.D'Azzo C.H. Houpis "linear Control System Analysis and Design"

6.    Gustav Doetsch. "Guide to the Applications of the Laplace and B-Transformation ", 2008. http:www.Amazon_com Gustav Doetsch Books.mht

7.    J.J D'Azzo. C.H.Houpis "Linear Control System, Analysis and Design ", 2006.

8.    Flight Dynamic NOTES   C. I. T.    U. k    C. I. T. U.k, 1986.

 

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7.

Authors:

Ebenezer Komla Gavua, Seth Okyere-Dankwa, Gignarta Kasaye Soka

Paper Title:

Big Data Sentiment Analysis based on PLSA and its Application

Abstract: Posting reviews online has become an increasingly popular way for people to express opinions and sentiments toward products bought or services received. Analyzing the large volume of online reviews available would produce useful actionable knowledge that could be of economic value to vendors and other interested parties. This study conducted a case study in the movie domain, and tackles the problem of mining reviews for predicting product sales performance. Based on an analysis of the complex nature of sentiments, this paper studies Sentiment PLSA (S-PLSA), in which a blog entry is viewed as a document generated by a number of hidden sentiment factors. Training an S-PLSA model on the blog data enables us to obtain a succinct summary of the sentiment information embedded in the blogs. The study then presents SAAR, a sentiment-aware autoregressive model, to utilize the sentiment information captured by S-PLSA for predicting product sales performance. Extensive experiments were conducted on a movie data set. In this study SAAR is compared with alternative models that do not take sentiment information into account; as well as a model with different feature selection methods. Experiments confirm the effectiveness and superiority of the approach studied. 

Keywords:
 Blog mining, Hadoop, MapReduce.


References:

1.       Bar-Ilan, J. ( 2004). An outsider’s view on “topic-oriented blogging”. In WWW Alt. ’04, pages 28–34..
2.       Blei, D. Ng, A. & Jordan, M. (2003). “Latent dirichlet allocation”. Journal of Machine Learning Research.

3.       Dalli, A. (2006). “System for spatio-temporal analysis of online news and blogs”. In WWW ’06, pages 929–930,

4.       Dempster, A. P., Laird, N. M., & Rubin D. B.(1977). “Maximum likelihood from incomplete data via the em algorithm”. Journal of Royal Statistical Society, B(39):1–38, 1977.

5.       Efron, M.(2004). “The liberal media and right-wing conspiracies: using co-citation information to estimate political orientation in web documents”. In CIKM ’04, pages 390–398, 2004.

6.       Enders W.(2004). Applied Econometric Time Series. Wiley, New York, 2nd edition, 2004.

7.       Gruhl, D., Guha, R., Kumar, R., Novak, J. & Tomkins, A.(2005) “The predictive power of online chatter”. In KDD ’05, pages 78–87.

8.       Gruhl, D., Guha, R. ,Liben-Nowell, D., & Tomkins A.(2004) “Information diffusion through blogspace”. In WWW ’04, pages 491–501.

9.       Hofmann T.(1999). Probabilistic latent semantic analysis. In UAI’99.

10.    Jank, W., Shmueli, G., & Wang S.(2006) Dynamic, real-time forecasting of online auctions via functional models. In KDD ’06, pages 580–585.

11.    Kamps, J. & Marx, M.(2002) “Words with attitude.” In Proc. of the First International Conference on Global WordNet, pages 332–341, 2002.

12.    Kumar R., Novak, J., Raghavan, P. & Tomkins, A.(2003). On the bursty evolution of blogspace. In WWW ’03, pages 568–576, 2003.

13.    Kumar R., Novak, J., Raghavan, P. & Tomkins, A.(2004) “Structure and evolution of blogspace.” Commun. ACM, 47(12):35–39.

14.    Li, Z. Wang, B., Li, M., & Ma, W.(2005) “A probabilistic model for retrospective news event detection.” In SIGIR ’05, pages 106–113.

15.    Liu, B., Hu, M. & Cheng, J.(2005). “Opinion observer: analyzing and comparing opinions on the web.” In WWW ’05, pages 342–351, 2005.

16.    Mei, Q., Liu, C. ,Su, H. & Zhai, C.X.(2006) “A probabilistic approach to spatiotemporal theme pattern mining on weblogs”. In WWW ’06, pages 533–542.

17.    Mei, Q. & Zhai,, C.X.(2006) “A mixture model for contextual text mining”. In KDD ’06, pages 649–655.

18.    Pang, B. & Lee, L.(2004) “A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts.” In ACL ’04, pages 271–278 .

19.    Pang, B. & Lee, L. (2005). “Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales”. In ACL ’05, pages 115–124.

20.    Pang, B., Lee L., & Vaithyanathan S.(2002). “Thumbs up? sentiment classification using machine learning techniques”. In Proc. of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP).

21.    Technorati (2007). URL:http://technorati.com/about/. Retrieved on January 27.

22.    Tseng, B. L., Tatemura, J., & Wu, Y.(2005). “Tomographic clustering to visualize blog communities as mountain views”. In Proc. Of 2nd Annual Workshop on the Weblogging Ecosystem.

23.    Turney, P.D. (2001). “Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews”. In ACL ’02, pages 417–424.

24.    Whitelaw, C., Garg, N., & Argamon S.(2005). “Using appraisal groups for sentiment analysis”, In CIKM ’05, pages 625–631.

25.    Zhang, Z. and Varadarajan, B.(2006). “Utility scoring of product reviews”. In CIKM ’06, pages 51–57.

26.    Foutz, N.Z. & Jank, W.(2007 “The Wisdom of Crowds: Pre-Release Forecasting via Functional Shape Analysis of the Online Virtual Stock Market,” Technical Report 07-114 Marketing Science Inst. Of Reports.

 

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8.

Authors:

 Maha Abdul Ameer Kadhum

Paper Title:

Application of the Guided Method to study the Characteristics of the Frequency Modulation Circuits

Abstract: This paper provides to implementation many of the experiences that uses in the communication library by using (Multisum.version 11) program. The electronic component circuit connection easily although the complexity in electronic component also useful from simulation in program to absolved the results in exact and speedy time instructional program was designed and simulated according system so that students have a knowledge base in the field of evaluation of the modulation .The instructional program takes of individualized difference because it does not require the learner to go along the sequence of units .He can by bass many of these units according to this needs speed and ability to learn.

Keywords: communication, frequency, information, instruction, modulation.

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  2. Roy Blake, "Electronic Communication Systems", 2nd Ed, 2014.
  3. Martins, R.,"Analog and digital communication system ",2nd Ed,2002.
  4. Leow, "Digital and Analog communication Systems", 5th ED., 201
  5. Bayez,K , "The Basics of Communication", Dar Al-Hikma, University of Technology, 2000.
  6. Noor Ali Hussain Al-Sudani "Audio Denoising Using Wavelet Transform", Sc. Thesis , Computer Department ,  College of Science , Al-Nahrain University , 2011.
  7. Simon Hykin, "Communication Systems", 4th ED., 2009.
  8. Saad Abdel-Wahab Al-Shaaban, "Effective in the treatment of analogue and digital signal", Scientific Affairs Committee, University of Technology, 1999.
  9. Basem Nazhat al-Samarrai and D. Muthanna Jabr, "Principles of Engineering Statistics", Dar al-Hikma, University of Technology, 2001.
  10. Mabarz, Manal Abdel-Aal, Ismail, Sameh Said, "Self-Learning and Distinction", Amman, Dar Al-Fikr, 2010.
  11. Salama, Abdel Hafez and Abu Raya, Muhammad. "Computer in Education". Al Ahlia Publishing, Jordan, 2002, [11].
  12. T, "The Innovation Adoption Perspective in M-learning for Engineering Education", Journal of Engineering and Applied Sciences,Volume 7,Issue 1,2012, Page No. 23-30.

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