Volume-5 Issue-4, September 2016 – International Journal of Recent Technology and Engineering (IJRTE)

D1629095416

IJRTE Journal — Wed, 02 Nov 2022 08:51:14 +0000

Laser Diode and Applications
Ahmed H.Almutairi
Ahmed H.Almutairi, Higher Institute of Telecommunication & Navigation (HITN), Adailiyah, Kuwait.
Manuscript received on 20 September 2016 | Revised Manuscript received on 30 September 2016 | Manuscript published on 30 September 2016 | PP: 32-41 | Volume-5 Issue-4, September 2016 | Retrieval Number: D1629095416©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper shows how to use the P-N Junction to generate the Laser (Laser Diode) and how we use this laser Diode in many applications.
Keyword: Introduction, P-N Junction, Biased p-n Junction, Laser diodes, Turning semiconductor amplifiers into laser diodes, Applications of Laser Diodes, Conclusion and References.
Scope of the Article: Innovative Mobile Applications

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D1628095416

IJRTE Journal — Wed, 02 Nov 2022 08:46:14 +0000

A Review of the Internet of Things
Naina Lohana¹, M. Mani Roja²
¹Naina Lohana, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College, Bandra, Mumbai (Maharashtra)- 400050, India.
²Dr. M. Mani Roja, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College, Bandra, Mumbai (Maharashtra)-400050, India.
Manuscript received on 20 September 2016 | Revised Manuscript received on 30 September 2016 | Manuscript published on 30 September 2016 | PP: 27-31 | Volume-5 Issue-4, September 2016 | Retrieval Number: D1628095416©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper an effort is taken to review the concept of the Internet of Things (IoT). It has gained popularity in the recent years due to its wire-ranging applications. As the world moves towards a future with more and more devices linked to the Internet, this paper looks at the elements of IoT, its communication models, the challenges it faces and its applications.
Keywords: IoT
Scope of the Article: IoT

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D1619095416

IJRTE Journal — Wed, 02 Nov 2022 08:42:16 +0000

Effect of Zn and Mn Substitution on Structural, Dielectric, Magnetic and Optical Properties of Multiferroic CoFe2O4-BaTiO3 Core-Shell Type Composites
Sourav Sarkar¹, J. Shah², R. K. Kotnala³, M. C. Bhatnagar⁴
¹Sourav Sarkar, Department of Physics, Indian Institute of Technology, Delhi (New Delhi). India.
²Dr. Jyoti Shah, Department of Material Physics and Engineering, National Physical Laboratory, New Delhi, India.
³Dr. R. K. Kotnala, Department of Material Physics and Engineering, National Physical Laboratory, New Delhi, India.
⁴Dr. Mukesh Chander Bhatnagar, Department of Physics, Indian Institute of Technology, Delhi (New Delhi). India.
Manuscript received on 20 September 2016 | Revised Manuscript received on 30 September 2016 | Manuscript published on 30 September 2016 | PP: 16-26 | Volume-5 Issue-4, September 2016 | Retrieval Number: D1619095416©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, we have reported the synthesis of Zn and Mn substituted cobalt ferrite by chemical co-precipitation method and used it as core material in barium titanate sol to finally prepare core-shell type composite material. Amount of ferrite was varied in the final composite samples from 30% to 50%. X-ray diffraction show prominent spinel and perovskite peaks corresponding to ferrite and titanate phases respectively. HRTEM micrographs reveal core-shell type nature with presence of a well-defined interface. Our proposed substitutions increase the resistivity of pure cobalt ferrite by one order which has been verified through I-V measurement. SEM micrographs show dense microstructure and particle formation of both phases in the composites. Substitution of Zn at the site of Co is supported by the peak shift in Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) spectroscopy. Maxwell Wagner relaxation phenomena at the interface and hopping conduction in ferrites explain both frequency and temperature variation of dielectric parameters. Substitution of Zn and Mn result in superparamagnetic type behavior with coercively  few Oe and very negligible remnant magnetization (MR). Photoluminescence (PL) spectra show slight decrease in energy band gap of ferrite as a result of these substitutions.
Keywords: Sol-gel process (A); Composites (B); Dielectric properties (C); Optical properties (C)
Scope of the Article: Optical Oscillator

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D1617095416

IJRTE Journal — Wed, 02 Nov 2022 08:36:18 +0000

Segmentation of Liver and Retrieval Procedure by Feature Extraction for CT-Scan Abdominal Image Processing
K.A.M. Sajad Hyder¹, M. Vanitha²
¹K.A.M. Sajad Hyder, Research Scholar PG & Research, Department of Computer Science, J.J College of Arts and Science, Pudukkottai (Tamil Nadu)-622422. India.
²Dr. M. Vanitha, Ph.D. and Research, Assistant Professor, Department of Computer Application, Alagappa University, Karaikudi (Tamil Nadu)- 600006. India.
Manuscript received on 20 September 2016 | Revised Manuscript received on 30 September 2016 | Manuscript published on 30 September 2016 | PP: 7-15 | Volume-5 Issue-4, September 2016 | Retrieval Number: D1617095416©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Liver is an important vital organ. In these days medical professionals utilize CT scan abdominal images for the diagnosis of liver disorders. There arise the problem of liver segmentation and image processing for recapturing the matching image of predetermined image of liver ill state. In this present work a new way of methodology has been introduced for the pulling out liver image in a large dataset of abdominal scanned images. Further the segmented liver images are preprocessed for the feature extractions of Shape, Intensity and Texture. An automatic system of Least Distance Method (LDM) is used for the recalling of image is run into the system. There is a significant speed and accuracy have been notified by this LDM. The above results are discussed with earlier related works and concluded with the application in clinical practice.
Keywords: Automatic retrieval technique, Digital image processing, Liver Segmentation, Least Distance method for recapturing matching image.
Scope of the Article: IoT Applied for Digital Contents

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D1615095416

IJRTE Journal — Wed, 02 Nov 2022 05:58:00 +0000

Analysis of Skype and its Detection
Th. Rupachandra Singh¹, Irengbam Tilokchan Singh², Tejmani Sinam³
¹Dr. Th. Rupachandra Singh, Department of Computer Science, Manipur University, Imphal, (Manipur), India.
²Irengbam Tilokchan Singh, Department of Computer Science, Manipur University, Imphal, (Manipur), India.
³Tejmani Sinam, Department of Computer Science, Manipur University, Imphal, (Manipur), India.
Manuscript received on 20 September 2016 | Revised Manuscript received on 30 September 2016 | Manuscript published on 30 September 2016 | PP: 1-6 | Volume-5 Issue-4, September 2016 | Retrieval Number: D1615095416©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper gives a complete analysis of Skype Traffic. Based on the analysis of Skype Traffic, we proposed a heuristic based detection method which classified the Skype Signaling and Skype Media Traffic. We properly categorized the Skype Media traffic as audio or video conversation. In this paper, we also propose a novel approach to identify VoIP Network Traffic in the first few seconds of initial state of communication. The proposed classifier works with Machine Learning Techniques based on the statistical features. The experimental results show that the proposed method can achieve over 99% accuracy for all testing dataset.
Keyword: Skype; Network Traffic Analysis; Traffic Classification; Machine Learning
Scope of the Article: Machine Learning

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