The most important aims of mobile learning systems is providing relations between the real and virtual worlds and creating related instructing strategies with education activities in order to obtain appropriate educational achievements in addition to creating motivations in using mobile systems among the learning individuals. Offering potentials of instructing activities and places interested by individuals in this regard are among the most important aspects by which learners could increase their knowledge levels. In this respect and by describing the case, we offer a model in the form of a mobile learning recommender system, abbreviated by "PMLES". Hence in this article we try to improve the performance of recommender systems in mobile learning environments by presenting an integrated system and providing a mobile learning recommender system, and along with that offer a learning method appropriate with the level of knowledge among different learners. The aim for this proposing model is increasing the performance rate of recommender systems by considering the educational conditions and developments of each learner in intercity environments.

 

Keywords: Mobile learning, personalization, recommender systems, environmental and location information

[1] J. Yin-Kim Yau, Ph.D thesis ,in partial fulfilment of the requirements for the in Computer Science University of Warwick, Department of Computer Science, April 2011.
[2] E.Klobfer, Augmented Learning Research and Design of Mobile Educational Games , 2008.
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[4] V. Glasersfeld, E. 1995. A constructivist approach to teaching. In Constructivism in education, ed. L. P. Steffe and J. Gale, 3–15. Hillsdale, NJ: Erlbaum.
[5] Bruner, Jerome. Actual minds, possible worlds. Cambridge, MA: Harvard University Press. 1986.

A reliable method for dehazing image and video was proposed. The goal is to achieve good dehazed images and videos with proper security at the receiver side. The image was dehazed by dark channel prior. The system based on fast single image dehazing and here the codecs used is joint photographic expert group. Then the compressed image is extended to compressed video, by using codecs H.264. Then by considering the dehazing effects before or after compression, the coding artifacts and motion estimation were investigated. Before compression produce better dehazing performance with fewer artifacts and better coding efficiency than after compression. By using these methods, the thickness of haze and haze free images and videos can be estimated directly. Then a watermark is added for digital right management and the watermarked image and videos is encrypted with a fast and reliable light weight algorithm. This image and video is transmitted to the receiver side. At the receiver side, the use with correct key can decrypt the image and the image will be watermarked with watermark symbol, the watermarked image can be used to trace illegal distribution. Thus this system produces a dehazed image and video with high secure and fast transmission.

 

Index Terms: Dehazing, Watermarking, Rate-distortion, and Key-management.

[1] Agi.I and Gong.L, (1996) "An empirical study of secure MPEG video transmission" in Processing of Symposium., pp. 137-144.
[2] Chaudhry.A, Iqbal.K, Khan.A and Mirza.A, (2006) "Enhancing Contrast of Compressed Images: Reducing Block Artifacts Adaptively" .Piscataway, NJ: IEEE Press, pp. 140-145.
[3] Chen.Z, Abidi.B.R, Page.D.L and Abidim.A, (2006) "Gray-level grouping (GLG): "An automatic method for optimized image contrast enhancement- part I: the basic Method", IEEE Trans. Image Process., vol.1, no.8, Pp. 302- 2290.
[4] Chen.Z, Abidi.B.R. R, Page.D.L, and Abidim.A, (2006) "Gray-level grouping (GLG):"An automatic method for optimized image contrast enhancement- part II: the Variations", IEEE Trans.Image Process., vol 15, no.8, pp. 2303-2314.
[5] EuijinChoo, Jehyun Lee, Heejo Le and Giwon Nam, (2007|) "SRMT light- weight Encryption scheme for secure real time multimedia transmission".MUE‟07.International Conference, Pp 60 – 65.

In this paper, a novel scheme for efficient content-based medical image retrieval, formalized according to the Patterns for Next generation Database systems (PANDA) framework for pattern representation and management. This scheme involves block-based low-level feature extraction from images followed by the clustering of the feature space to form higher-level, semantically meaningful patterns. The clustering of the feature space is realized by an expectation–maximization algorithm that uses an iterative approach to automatically determine the number of clusters. Experiments were performed on a large set of reference radiographic images, using different kinds of features to encode the low-level image content. Through this experimentation, it is shown that the proposed scheme can be efficiently and effectively applied for medical image retrieval from large databases, providing unsupervised semantic interpretation of the results, which can be further extended by knowledge representation methodologies.

 

Keywords: Patterns, CBIR, PANDA, Content based images, color HSV

[1] C. Faloutsos, R. Barber, M. Flickner, J. Hafner, W. Niblack, D. Petkovic, and W. Equitz, ―Efficient and effective querying by image content,‖ J. Intell. Inf. Syst., vol. 3, pp. 231–262, 1994.
[2] J. Z. Wang, J. Li, and G. Wiederhold, ―SIMPLIcity: Semantics-sensitive integrated matching for picture libraries,‖ IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 9, pp. 947–963, Sep. 2001.
[3] T. Deselaers, D. Keysers, and H. Ney, ―FIRE—flexible image retrieval engine: ImageCLEF 2004 evaluation,‖ in Lecture Notes in Computer Science, vol. 3491, 2004, pp. 688–698.
[4] R. Veltcamp and M. Tanase, ―Content-based image retrieval systems: A Survey,‖ Dept. Comput. Sci.Utrecht Univ., Tech. Rep. UU-CS-2000-34, 2000.
[5] H. M¨uller, N. Michoux, D. Bandon, and A. Geissbuhler, ―A review of content-based image retrieval Systems in medicine—clinical benefits and future directions,‖ Int. J. Med. Inf., vol. 73, pp. 1–23, 2004.

Induction motors being the major energy consumer in the plant offer opportunities of energy saving. In the spinning unit many induction motors are in-house rewound. This paper reports the analysis done on the rewound induction motors to determine its efficiency and life cycle cost comparison. Practical comparisons between rewound motors and the new motors are shown.

 

Keywords: Rewound induction motor, energy loss, efficiency, life cycle cost, spinning unit.

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[2]. Aquila A. Dell', Salvatore L., and Savino M. "A New Test Method for Determination of Induction Motor Efficiency IEEE Power Engineering Review, October 1984, PP 48-49
[3]. Montgomery David C, "The Motor Rewind Issue-A New Look", IEEE Transactions on Industry Applications, VOL. LA-20, NO. 5, September/October 1984, PP 1330-1336
[4]. Schwartz Thomas F., Discussion of "The Motor Rewind Issue- A New Look", IEEE Transactions on Industry Applications. VOL IA-21, NO.2.. March/April 1985, PP 356
[5]. Richter Eike, MillerTimothy J.E, Neumann Thomas W, Hudson Thomas L, "The Ferrite Permanent Magnet AC Motor-A Technical and Economical Assessment", IEEE Transactions on Industry Applications, VOL. IA-21, NO. 4, May/June 1985, PP 644-650

The storage of stable agro food such as corn and ogbono in developing countries like Nigeria is a great challenge due to high moisture content that causes deterioration at long period. However, dried agro food at certain temperatures could reduce this deterioration challenge and would extend storage life. In this study, the effect of temperature on drying rate and moisture content was carried out at 110o C, 120o C and 130o C on corn and ogbono, with the initial moisture content of (0.28 g). The moisture content decreased as time increases but tend to be constant with further increase in time. The minimum moisture content retained were (0.12 g, 0.11 g, and 0.1 g) for corn and (0.85 g, 0.83 g and 0.8 g) for ogbono at 110o C, 120o C and 130o C respectively. The drying rate at 130o C was higher compared to 120o C and 110o C but there was shrinkage and undesirable colour change observed. The characterization of the dried product using proximate analysis showed that drying at 110oC is more suitable for consumption both for the young and the elderly, with lower level of carbohydrate , corn (76.80) and ogbono (83.63) while protein, fiber and lipid levels of corn (9.94), (2.80), 3.78) and ogbono (5.40), (2.40), (2.17) respectively. Due to the favorable condition at 110oC, mineral analysis was also carried out, which showed trace elements of ogbono Ca (0.34), Mg (0.081), Na (0.025), K (0.25), P(0.15), Mn (0.068) and Fe (0.010) and corn; Ca (0.180), Mg (0.065), Na (0.017), (0.2), P (0.28), Mn (0.068) and Fe (0.002).

[1]. I. Dincer "‟Sun drying of sultan grapes‟‟. Drying Technology,14: 1996. pp.1827-1838
[2]. J. Waewsak, S. Chindaruksa and C Punlek, "‟A mathematical modeling study of hot air drying for some agricultural products‟‟. Thammasat International Journal of Science and Technology. Vol 11: 2006 pp 14-20
[3]. J.Y. Seyed, R.G, Moreira, and R. Yamseangsung, "‟Superheated steam impingement drying of tortilla chip‟‟. Drying Technology. NO 17 1999. pp 191-213.
[4]. S.E. Agarry and C.N. Owabor "Modelling of the drying kinetics of Banana under natural convection and forced air drying" Journal of the Nigerian Society of Chemical Engineeers Vol. 27, No1 2012. Pp 103-115.
[5]. M.S. Hatamipour, H. hadji Kazemi, A. Nooralivand and Nozarpoor "Drying characteristics of six varities of sweet potatoes in different dryers". Trans IChemE Part C. Food and Bioproduct processing. Vol. 85 (C3) 2007 pp 171-177.

Iris Recognition Has Become A Popular Research In Recent Years. Due To Its Reliability And Nearly Perfect Recognition Rates, It Is Used In High Security Areas. Some Of The Applications Of Iris Recognition System Are Border Control In Airports And Harbors, Access Control In Laboratories And Factories, Identification For Automatic Teller Machines (Atms) And Restricted Access To Police Evidence Rooms. This Paper Provides A Review Of Major Iris Recognition Researches. There Are Four Main Stages In Iris Recognition System Namely: Segmentation, Normalization, Feature Extraction And Matching. A Literature Review Of The Most Prominent Algorithms Implemented Is Presented In This Paper And Lastly We Made A Compression Of Some More Iris Recognition Algorithms. Keyword: Iris Recognition, Segmentation, Normalization, Features Extraction, Matching.

[1]. J. Daugman. How iris recognition works. Proceedings of 2002 International Conference on Image Processing, Vol.1, 2002.
[2]. J. Daugman. Biometric personal identification system based on iris analysis. United States Patent, Patent Number: 5,291,560, 1994.
[3]. R. Wildes, J. Asmuth, G. Green, S. Hsu, R. Kolczynski, J. Matey, S. McBride. A system for automated iris recognition. Proceedings IEEE Workshop on Applications of Computer Vision, Sarasota, FL, pp. 121-128, 1994.
[4]. R. Wildes. Iris recognition: an emerging biometric technology. Proceedings of the IEEE, Vol. 85, No. 9, 1997.
[5]. W. Boles, B. Boashash. A human identification technique using images of the iris and wavelet transform. IEEE Transactions on Signal Processing, Vol. 46, No. 4, 1998.

Bio-medical image de-noising and image enhancement are the two necessary and noticeable eras for better diagnosis and therefore the treatment within the medical field. Chromosomes images are ever found as blur images, so de-noising and image enhancement becomes essential extremely and area of interest for the researchers. Here the work of this analysis paper accommodates the chromosome image de-noising with the assistance of "Discrete Wavelet Transform (DWT)‟ families one by one and additionally the performances of different wavelet families are evaluated based on their Peak Signal to Noise Ratio (PSNR) and the value of Mean Square Error (MSE). After this, the three enormously efficient image improvement techniques are applied e.g. Contrast Adjustment (CA), Histogram Equalization (HE) & Adaptive Histogram Equalization (AHE) for the betterment of visualization. This single chromosome image could be a 2-D image. With the use of widely applicable "coif5‟Discrete Wavelet Transform, the chromosome image is decomposed up to the level 2, threshold and de-noised. Image enhancement is an important development to boost the visual impact of any image. All the simulation is performed with the help of the MATLAB R2010a platform.

 

Keywords: DWT, De-noising, Thresholding, Contrast Adjustment, Histogram Equalization, Adaptive Histogram Equalization, MATLABR2010a.

[1]. R. C. Gonzalez and R. E. Woods, "Digital image processing", 2002,Prentice-Hall, USA.
[2]. O.P. Singh, K.K Singh, G.R. Mishra, Deepak Tiwari, SaumyaDubey, "Analysis of ECG Signaling Using Wavelet Transform", International Journal of Engineering Innovation &ResearchVolume 2, Issue 1, ISSN: 2277 – 5668
[3]. C.S.Burrus, R.A.Gopinath, H.Guo, "Introduction to Wavelets and Wavelet Transforms", Prentice Hall, 1998, pp. 2-18.
[4]. D.L. Donoho, "De-noising by soft thresholding", IEEE Trans. on Info.Theory, pp. 933-936, 1993.
[5]. J. N. Ellinas, T. Mandadelis, A. Tzortzis, L. Aslanoglou, "Image de-noising using wavelets", T.E.I. of Piraeus, Department of Electronic Computer Systems.