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i-manager's Journal on Information Technology (JIT)

Current Issue Vol. 12 Issue 4

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Volume 1 Issue 4 September - November 2012

Article

Social media and the re-evaluation of the terms ‘community’, ‘virtual community’ and ‘virtual identity’ as concepts of analysis

Udo Richard Averweg* , Marcus Leaning**

* Information Services, eThekwini Municipality and Graduate School of Business & Leadership, College of Law and Management Studies, University of KwaZulu-Natal, Durban, South Africa.

** School of Media and Film, University of Winchester, Winchester, Hampshire, United Kingdom.

Averweg, U. R., and Leaning, M. (2012). Social Media And The Re-Evaluation Of The Terms 'Community', 'Virtual Community' And 'Virtual Identity' As Concepts Of Analysis. i-manager’s Journal on Information Technology, 1(4), 1-12. https://doi.org/10.26634/jit.1.4.2012

Abstract

In this article we examine the concepts of community, virtual community and virtual identity and consider if they have any continued relevancy as analytic terms in relation to social media. Firstly, we trace the origins of the term ‘community’ and contextualize its interpretation arguing that the term has political overtones. We then consider the notion of ‘virtual communities’ and suggest a working definition for this term. Thereafter we consider virtual identities. Finally, we contend that while the categories are deeply rooted in a particular understanding of communication, community and identity they do offer some very useful terms of analysis for social media.

References

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Article

Survey Of Existing Video Indexing Technique: An Overview

D. Saravanan* , S. Srinivasan**

* Research Scholar, Sathybama University, Chennai.

** Professor & Head, Department of CSE, Anna University Regional Office Madurai, Madurai.

Saravanan, D., and Srinivasan, S. (2012). Survey Of Existing Video Indexing Technique: An Overview. i-manager’s Journal on Information Technology, 1(4), 13-18. https://doi.org/10.26634/jit.1.4.2013

Abstract

Data Mining is a process of knowledge evaluation from large data sets. It is a very challenging filed of research in the recent past years. Extraction of knowledge is a critical issue for the researchers[1]. Many data mining tools currently fail to operate in extracting the needed information from the collection of data set it requires extra steps for extracting, and analyzing the data. Based on the type of extraction video is the particular media contains motion, sound, image, text and color information. Among these extracting the needed information is a challenging task. The usage of the image has been increasing day by day due to various factors. They are used not only for expressing knowledge and information but also used for the purpose of analyzing. For this purpose effective retrieval video dates are indexed. Here some of the existing indexing techniques are discussed. Based on the surveillance there may be a need for improvement in video indexing.

References

[1]. D. Saravanan, & S. Srinivasan, (2010, December). Indexing and Accessing Video Frames by Histogram Approach. Paper published at the International Conference on RSTSCC, Chennai. Retrieved from http: toc.proceedings.com/10727webtoc.pdf.

[2]. D. Saravanan, & S. Srinivasan, (2011, April). A Study of Hierarchical Clustering Algorithms suitable for video data mining. Paper published at the 2nd National Conference on Imaging Computing object and mining ICOM-11, Trichy.

[3]. D. Saravanan, & S. Srinivasan, (2011, May). Video Data Information Retrieval Using Data Mining Concepts. Paper published at the national Conference on Computer and Communication Technology NCCCT-11, Chennai.

[4]. Xingquan Zhu, Member, IEEE, Xindong Wu, Senior Member, IEEE, Ahmed K. Elmagarmid, (2005, May). Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective. Paper published at the IEEE Transactions on Knowledge and Data Engineering, Vol. 17 (5). Retrieved from http: www.cs.purdue.edu/ homes/ake/pub/TKDE-0201-1003-1.pdf.

[5]. Dian W. Tjondronegoro (2005, May). Content-based Video Indexing for Sports Applications using Integrated Multi-Modal Approach. Doctor of Philosophy. Retrieved from http: www.researchgate.net/.../ 27464455_ PhD_Thesis_ Content-based Video Indexing for sports Applications using Integrated Multi-Model Approach.

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[11]. Xingquan Zhua, Walid G. Arefa, Jianping Fanb, Ann C. Catlina, Ahmed K. Elmagarmidc. Medical Video Mining for Efficient Database Indexing, Management and Access. Retrieved from http: www.cs.purdue.edu/ vdbms/papers/icde03.pdf - United States.

[12]. Chabane Djeraba & Moncef Gabbouj & Patrick Bouthemy. Multimedia indexing and retrieval: ever great challenges. Retrieved from http://www. cs.tut.fi/ ~publications/MTA_Editorial_09_2006 .pdf.

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Research Paper

E-course: ICT Elements and Students' Thinking Dispositions

Bouhnik Dan* , Carmi Golan**

* Jerusalem College of Technology, Jerusalem, Israel.

** Bar-Ilan University, Ramat Gan, Israel.

Dan, B., and Golan, C. (2012). E-Course: ICT Elements And Students’ Thinking Dispositions. i-manager’s Journal on Information Technology, 1(4),19-34. https://doi.org/10.26634/jit.1.4.2014

Abstract

A students' prior technological background has an effect on his learning process and success in courses delivered in an online environment. The purpose of this paper is to examine the effect of three variables — previous computer knowledge & experience, internet skills and prior experience with online courses — on the improvement of thinking tendencies. The theoretical basis for this research relies on Perkins, Jay & Tishmans' tendency theory (1993). 285 bachelor and master students, studying in asynchronous and synchronous courses in the Fully On-line system, participated in the research. The research results show that previous personal computer knowledge & experience and internet skills affect thinking tendencies in varying positive degrees. However, no effect was found to be made by previous participation in on-line courses on thinking tendencies. The research conclusion shows that previous personal computer knowledge & experience and internet skills both contribute, separately and together, to the improvement of thinking tendencies, which form an important basis and a significant parameter for students' academic success.

References

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Research Paper

Offline Signature Verification Using Neural Networks

Jyoti Singh* , Manisha Sharma**

*-** Electronics & Telecommunication Department, Bhilai Institute of Technology, Durg (C.G.), India.

Singh, J., and Sharma, M. (2012). Offline Signature Verification Using Neural Networks. i-manager’s Journal on Information Technology, 1(4), 35-44. https://doi.org/10.26634/jit.1.4.2015

Abstract

Signature has been a distinguishing biometric feature through ages. Signature verification finds application in a large number of fields starting from online banking, passport verification systems, online exams etc. Human signatures can be handled as an image and recognized using computer vision and neural network techniques. This paper, proposes an off-line signature verification system using neural network. The system consists of three stages: the first is preprocessing stage, second is feature extraction stage and the last is verification stage using neural network. The objective of the work is to reduce two critical parameters, False Acceptance Rate (FAR) and False Rejection Rate (FRR).

References

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[44]. Abikoye O.C., Mabayoje M.A, Ajibade R. (2011). “Offline Signature Recognition & Verification using Neural Network” International Journal of Computer Applications, Volume 35,No.2, pp. 0975 – 8887.

[45]. Violano Michael, (1989). “The high-tech future of foiling fraud and forgery”, Bankers Monthly.

[46]. Herbst. B., Coetzer J. and Preez J. (2004). “Online Signature Verification Using the Discrete Radon Transform and a Hidden Markov Model”, Journal on Applied Signal Processing, EURASIP, Volume 4, pp. 559–571.

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Research Paper

A 3.1-5GHz Low Power, High Gain and Improved Linearity Low Noise Amplifier (LNA) for Implantable Ultra Wideband Applications in CMOS Silicon-On- Sapphire (SOS) Process

Ayobami Iji* , Xie Zhu**

*-** Michael Heimlich MacQuarie University, Sydney.

Iji, A., and Zhu, X. (2012). A 3.1-5GHz Low Power, High Gain And Improved Linearity Low Noise Amplifier (LNA) For Implantable Ultra Wideband Applications In CMOS Silicon-On- Sapphire (SOS) Process. i-manager’s Journal on Information Technology, 1(4), 45-47. https://doi.org/10.26634/jit.1.4.2016

Abstract

High data rate implantable wireless systems come with many challenges, chief among them being low power operation and high path loss. LNAs designed for this application must include high gain, low noise figure (NF) and better linearity at low power consumption within the required frequency. In this paper, our design is based on Impulse Response (IR) Ultra Wide-Band (UWB) operating at (3.1 — 5) GHz. We report the design and measurement of an LNA with 2.4dB NF, 17.3dB of gain and input intercept point of 2dBm consuming 4mW, which make it suitable for implantable radio applications. The process technology used here is 0.25µm CMOS Silicon on Sapphire (SOS) process.

References

[1]. M. Khurran, S.M. R. Hasan. (2012, March). ''A 3-5 GHz Current –Reuse gm-Boosted CG LNA for UWB in 130nm CMOS'' IEEE trans. on VLSI. Vol. 20, No. 3.

[2] S-G. Lee, et al. (2004, May). ''CMOS Low-Noise Amplifier Design Optimisation Techniques'', IEEE Transactions on Microwave Theory and Techniques, Vol.52, No. 5.

[3] C-T. Fu, H. Lakdawala, S. S. Taylor. (2011, February). ''A 2 2.5GHz 32nm 0.35mm 3.5dB NF -5dBm P1dB Fully Differential CMOS Push-Pull LNA with Integrated 34dBm T/R Switch and ESD Protection'' ISSCC Dig. Tech. Paper, pp. 56-57.

[4]. H-J Lee et al. (2006). ''A 3 to 5 GHz CMOS UWB LNA with Input Matching using Miller Effect,'' ISSCC Dig. Tech. Papers, pp. 202.

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Volume 1 Issue 4 September - November 2012

Social media and the re-evaluation of the terms ‘community’, ‘virtual community’ and ‘virtual identity’ as concepts of analysis

Udo Richard Averweg* , Marcus Leaning**

* Information Services, eThekwini Municipality and Graduate School of Business & Leadership, College of Law and Management Studies, University of KwaZulu-Natal, Durban, South Africa. ** School of Media and Film, University of Winchester, Winchester, Hampshire, United Kingdom.

Averweg, U. R., and Leaning, M. (2012). Social Media And The Re-Evaluation Of The Terms 'Community', 'Virtual Community' And 'Virtual Identity' As Concepts Of Analysis. i-manager’s Journal on Information Technology, 1(4), 1-12. https://doi.org/10.26634/jit.1.4.2012

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Survey Of Existing Video Indexing Technique: An Overview

D. Saravanan* , S. Srinivasan**

* Research Scholar, Sathybama University, Chennai. ** Professor & Head, Department of CSE, Anna University Regional Office Madurai, Madurai.

Saravanan, D., and Srinivasan, S. (2012). Survey Of Existing Video Indexing Technique: An Overview. i-manager’s Journal on Information Technology, 1(4), 13-18. https://doi.org/10.26634/jit.1.4.2013

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E-course: ICT Elements and Students' Thinking Dispositions

Bouhnik Dan* , Carmi Golan**

* Jerusalem College of Technology, Jerusalem, Israel. ** Bar-Ilan University, Ramat Gan, Israel.

Dan, B., and Golan, C. (2012). E-Course: ICT Elements And Students’ Thinking Dispositions. i-manager’s Journal on Information Technology, 1(4),19-34. https://doi.org/10.26634/jit.1.4.2014

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Offline Signature Verification Using Neural Networks

Jyoti Singh* , Manisha Sharma**

*-** Electronics & Telecommunication Department, Bhilai Institute of Technology, Durg (C.G.), India.

Singh, J., and Sharma, M. (2012). Offline Signature Verification Using Neural Networks. i-manager’s Journal on Information Technology, 1(4), 35-44. https://doi.org/10.26634/jit.1.4.2015

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A 3.1-5GHz Low Power, High Gain and Improved Linearity Low Noise Amplifier (LNA) for Implantable Ultra Wideband Applications in CMOS Silicon-On- Sapphire (SOS) Process

Ayobami Iji* , Xie Zhu**

*-** Michael Heimlich MacQuarie University, Sydney.

Iji, A., and Zhu, X. (2012). A 3.1-5GHz Low Power, High Gain And Improved Linearity Low Noise Amplifier (LNA) For Implantable Ultra Wideband Applications In CMOS Silicon-On- Sapphire (SOS) Process. i-manager’s Journal on Information Technology, 1(4), 45-47. https://doi.org/10.26634/jit.1.4.2016

Abstract

References

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* Information Services, eThekwini Municipality and Graduate School of Business & Leadership, College of Law and Management Studies, University of KwaZulu-Natal, Durban, South Africa.

** School of Media and Film, University of Winchester, Winchester, Hampshire, United Kingdom.

* Research Scholar, Sathybama University, Chennai.

** Professor & Head, Department of CSE, Anna University Regional Office Madurai, Madurai.

* Jerusalem College of Technology, Jerusalem, Israel.

** Bar-Ilan University, Ramat Gan, Israel.