Volume-6 , Issue-1 , Jan - 2018 Go Back

A wireless communication network offers a flexible information transport platform that allows mobile users to roam without suffering intolerable performance degradation networking. Due to the complex infrastructure and mobility of nodes that led to dynamic network topology, therefore, the routing is one of the most important challenges in wireless mesh networks. To overcome these challenges, a number of routing techniques have been developed. This paper focuses on finding the optimal path which using to transfer data. Here, a fuzzy based model (using three input parameters and one output parameter optimal route) is proposed in order to mimic the route discovery mechanism in routing protocols with using new parameters like (Number of hops, Local Battery level, Received Signal Strength Indicator) as the input to fuzzy inference system. A number of fuzzy rules are generated which are very important in reasoning processes for making a final decision about what is path most select.

WMN, FIS, AODV, DSR, Optimal route

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Pushpender Sarao, T. Raghavendra Gupta, S. Suresh, "Optimal Route Selection Strategy in Wireless Mesh Networks," International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.238-243, 2018.

Sentiment Analysis(SA) is a way of analyzing the sentiment/emotion in the sentence. Entity, sentence or document- level sentences have been carried out to discover the polarity of text. Sentiment is measured using various approaches such as lexical-based and supervised machine learning methods. This survey focuses on various methods for Feature Extraction and Emotion Detection. Before applying any algorithm for sentiment polarity identification, preprocessing is to be carried over. Machine learning(ML) techniques such as Naive Bayes, SVM, and Max Entropy have been applied to identify the polarity score that are classified as positive, negative or neutral. Feature Selection method identifies a subset of most functional features from the entire set of features. The major challenge in Opinion mining lies in identifying the emotion expressed in the text. This survey provides an insight into the efficient techniques, methods and future scope in opinion mining investigation.

Sentiment Analysis; Support Vector Machine; Emotion Detection; Feature Selection; Machine Learning

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Mamatha M., Thriveni J., Venugopal K.R., "Techniques of Sentiment Classification, Emotion Detection, Feature Extraction and Sentiment Analysis: A Comprehensive Review," International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.244-261, 2018.

Wireless transmission is the reserch field for the researcher for increasing the quality of service. With the expanding level of wireless transmission in today`s condition, individuals regularly required QOS for sharing their information between the hubs. For bearing QOS to the client, numerous specialists proposed a lot many techniques to give QOS ensured directing to hybrid systems, they endeavor to enhance the system limit and dependability yet they avoid oblige in QOS. For this issue, our principle goal of this paper is to enhance the QOS and proficiency of directing methodology with compels over hybrid wireless data spilling utilizing QOD convention. This expects to build up the QOS based reliable architecture against the hybrid wireless routing issues. The framework likewise goes for giving both proactive and responsive answers for powerful routing. The objective of this paper is to give a proficient element routing management to bargain with difficulties of information transmission to channel the neighbor hubs through which the next hop transmission happens.

Hybrid Network, Wireless Sensor Network, QoS Routing, Distributed Routing

[1]. Ze Li and Haiying Shen, “A QoS-Oriented Distributed Routing Protocol for Hybrid Wireless Networks”, IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 13, NO. 3, MARCH 2014.
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[6]. Ze Li and Haiying Shen, “A QoS-oriented Distributed Routing Protocol for Hybrid Networks”, Clemson University, Clemson, SC 29631, USA.
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Uma. k. Thakur, C. G. Dethe, "Distributed Routing Protocol which increasing Quality of Service for Hybrid Wireless Network," International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.262-265, 2018.

Crucial data like product features and opinions are mined from online reviews. The obtained opinions are further analyzed for orientations. These orientations that are positive, negative or neutral are counted to determine the sentiment of the feature. The product recommendations performed by using the sentiments lead to a problem called “customer churn”. This is due to the tide of sentiment change. The reviewer intention on the product feature is important in finalizing the recommended list of product cases. In order to carry out this, the statistical intentions are calculated. The product cases are generated for a product by using these calculated intentions. The statistical intentions of the common features are stabilized to uncover the finalized features at the time of product similarity calculation. This “intent-to-opine” way of product recommendations addresses the problem of customer churn in the long run.

Customer Reviews, Product Features, Sentiments, Customer Churn, Intentions, Product Recommendations, Case Based Reasoning

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D. Teja Santosh, K.C. Ravi Kumar, P. Chiranjeevi, "Feature level intentions based product recommendations with case-based reasoning," International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.266-274, 2018.

Steganography is that the art of concealment the actual fact communication is going down, by concealment info in other info. Many different carrier file formats can be used, but digital pictures are the foremost well-liked because of their frequency on the web. This paper introduces 2 new strategies wherever in cryptography and steganography are combined to encode the information as well on hide the information in another medium through image process. This paper securing the image by encryption is finished by DES formula victimisation the key image. The encrypted image may be hide in another image by victimisation LSB techniques, so that the secret’s terribly existence is hid. The coding may be done by the same key image victimisation DES formula.

Steganography, Cryptography, image hiding, Least-significant bit(LSB) scheme

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A. Balasubramani, Ch.D.V. Subba Rao, "Image Security Implementing Steganography and Cryptographic Methods," International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.275-279, 2018.

Decision making in an organization requires aggregate as well as non- aggregate results, computed from data stored in data warehouse. Performance in case of result extraction from a data warehouse is an important factor. Probability that the same query is fired more often is high. This results into frequent analysis of warehouse data for fetching same results or results with incremental updates. This paper discusses an approach for storing such frequent queries along with their result, timestamp, frequency and threshold in a separate database. Past results are fetched from database and only incremental updates are done through data marts. This approach may improve performance removing or reducing execution time.

Data warehouse, Data mart, materialized query, faster execution

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[22] S. Chakraborty, J. Doshi, “Faster Query Result Retrieval Approaches from a Data Warehouse: A Survey,” “International Journal of Current Engineering and Scientific Research (IJCESR)”, Volume 4, Issue 6, 2017, ISSN (PRINT): 2393-8374, (ONLINE): 2394-0697, Pages 7-14.
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Sonali Chakraborty, Jyotika Doshi , "Data Retrieval from Data Warehouse Using Materialized Query Database," International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.280-284, 2018.

Diabetes is condition that affects your body’s ability to consume the energy present in our diet. Glucose gives energy to your body cells. Body cells need insulin that is present in our blood for getting glucose and utilizes it for energy. Increase of glucose in blood can damage the small blood veins in your kidneys, heart. Blood glucose level can be monitored by two methods namely invasive and noninvasive methods. Currently invasive glucose monitoring methods are widely used. In this method, the skin is pricked to draw blood and put collected drop into a measurement device. Invasive blood glucose measurement methods are highly accurate and common but they are very uncomfortable. For this reason research on noninvasive method is being carried out worldwide. This method is painless and finger pricking is avoided. A noninvasive method based on NIR technique using occlusion is proposed. The body site is ear lobe or finger. The output of optical signal is analyzed by performing FFT analysis.

Diabetes, Noninvasive, NIR Spectroscopy

[1] Steve Chaplin “Noninvasive Blood Glucose Testing: The Horizon” Practical Diabetes , Vol 33, No 9, Nov 2016.
[2] Jyoti Yadav, Asha Rani, Vaijnder Singh, Bhaskar Moahn Murari, “Comparative study of Different Measurement Sites using NIR Based Non-invasive Glucose Measurement system”,4th ICECCS, Procedia computer Science 70,2015,pp469-475.
[3] Kiseok Song, Unsoo Ha, Seangwook Park, Joonsung Bae, Hui-Jun, “An impedance and multi-wavelength Near-Infrared Spectroscopy IC for Non-invasive Blood Glucose Estimation”, IEEE Journal of Solid-State Circuits,Vol 50, No.4, April 2015, pp 1025-1037.
[4] Hussan Ali Al naam, Mohamed Osman, Idress, Abdalsalam Awad, Ola S. Abdalsalam,Frangoon Mohamed, “Noninvasive Blood Glucose Measurement Based on Photo-acoustic Spectroscopy”, International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering,7-9 sep 2015,khartoum,pp-1-4.
[5] Xiaoli Li, Chengwei Li, “Research on Noninvasive Glucose Concentration Meassurement by NIR Transmission” IEEE Intenational Conference on computer an communications,10-11 Oct 2015,Chengdu, pp 223-228.
[6] K. A. Unnikrishana Menon, Deepak Hemachandran, Abhishek Thekkeyil Kunnath, “Voltage Intensity based Noninvasive Blood Glucose Monitering” 4th ICCCNT 2013, July 4-6, Tiruchengode, India, pp 1-5.
[7] Ola S. Abdalsalam, Alaa Aldeen Awouda, “Noninvasive Glucose Monitoring using scattering spectroscopy” American Journal of Biomedical Engineering 2014,Vol 4,pp 53-59.
[8] Praful P. Pai, Pradut Kumar Sanki, Arjit De, Swapna Banerjee, “NIR photoacoustic spectroscopy for Noninvasive Glucose Measurement” 37th Annual International Conference of IEEE Engineering in Medicine and Biology Society, 25-29 Aug 2015, Milan, pp 7978-7981.
[9] Masab Ahmad, Awais Kamboh, Ahmed Khan, “Non-invasive blood glucose monitoring using Near Infrared Spectroscopy”, EDN Network, Oct16, 2013.
[10] O.S.Khalil, “Non-invasive Glucose measurement Techniques: An update from 1999 to the Dawn of the new millenium”, Diabetes Technology Therapeatics, Vol.6, no.5, 2004, pp 660-697.

Vandana C. Bavkar, A.A.Shinde, "Spectral Analysis of Blood Glucose using Noninvasive Technique," International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.285-288, 2018.

These days the image taken by the satellite generally utilized for differing applications however the element of these image degraded because of climate change, atmosphere and different elements are responsible. In image processing, an assortment of image enhancement methods have been produced for the satellite image restoration and improvement. This paper proposes an approach which utilizes DWT, Hybrid filter and Gaussian filter. The simulation of our anticipated technique is done utilizing the MATLAB2012a simulator which involves various functions for image enhancement and the similar examination of our strategy utilizes the execution measurements, for example, PSNR, EME and RMSE. The experimental consequences of our methodology give enhanced quality of image than the existing methods.

Image processing; Satellite image; DWT; MATLAB; PSNR; MSE, RMSE

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[3] T.V. HYMA LAKSHMI, T. MADHU, E.V.KRISHNA RAO, V.LAKSHMI MOUNICA, “Satellite Image Resolution Enhancement Using Discrete Wavelet Transform and Gaussian Mixture Model”, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 02 Issue: 04 | July-2015
[4] Dr. Muna F. Al-Samaraie and Dr. Nedhal Abdul Majied Al Saiyd, “Colored Satellites Image Enhancement Using Wavelet and Threshold Decomposition”, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, No 3, September 2011.
[5] P. Suganya, N. Mohanapriya, B. Kalaavathi, “Satellite image resolution enhancement using multi wavelet transform and comparison of interpolation techniques”, International Journal of Research in Engineering and Technology, eISSN: 2319-1163 | pISSN: 2321-7308, Volume: 03 Special Issue: 07 | May-2014.
[6] Arya P Unni, “Satellite Image Enhancement Using 2D Level DWT”, International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181, Vol. 3 Issue 3, March 2014.
[7] Yong Yang1, Shuying Huang2, Junfeng Gao3, Zhongsheng Qian, “Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm”, measurement science review, volume 14, no. 2, 2014.
[8] Pavithra C , Dr. S. Bhargavi, “Fusion of two images based on wavelet transform”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 2, Issue 5, May 2013.
[9] Wenkao Yang, Jing Wang and Jing Guo, “A Novel Algorithm for Satellite Images Fusion Based on Compressed Sensing and PCA”, Hindawi Publishing Corporation, Mathematical Problems in Engineering, pp. 1 – 10, Volume 2013.
[10] Lasmika, K. Raveendra, "Improving Quality of Satellite Image by Wavelet Transforming & Morphological Filtering", International Journal of Innovative Research in Science, Engineering and Technology, ISSN: 2319- 8753,Vol. 3, Issue 7, July 2014.
[11] S. Revathy , J. Jebakumari Beulah Vasanthi “Satellite Image De-Noising Using Huffman Codeing with Various Filters”, International Journal of Innovative Research in Computer and Communication Engineering Vol. 5, Special Issue 1, March 2017.
[12] Sundaram, M.K., Sasikala, D., and Rani, A.P., “A Study On Preprocessing A Mammogram Image Using Adaptive Median Filter”, International Journal of Innovative Research in Science , Engineering and Technology, ISSN: 2319-8753, Vol. 3, Issue 3, March 2014, pp. 10333-10337.
[13] Deepa, P., and Suganthi, M., “performance Evaluation of various Denoising Filters for Medical image”, International journal of computer science and information technologies, Vol. 5(3), 2014, ISSN: 0975-9646, pp. 4205-4209.
[14] Khaled Sahnoun and Noureddine Benabadji., “On – Board Satellite Image Compression Using The Fourier Transform And Huffman Coding”, The International Journal of Computational Science, Information Technology and Control Engineering, Volume 1, Issue 1, April 2014, pp. 17-23.
[15] Yashavanth, E. Vijay Kumar L.J, and Suresh, K.V., “Hybrid Fractal Image Compression For Satellite Images”, Technical Research Organization India, Volume 1, Issue 2, 2015, pp. 9-13.
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[18] M. Vishwanath and C. Chakrabarti, “A VLSI Architecture for Real-Time Hierarchical Encoding/Decoding of Video using the Wavelet Transform,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP ’94), Adelaide, Australia, vol. 2, April 19–22, 1994, pp. 401–404.
[19] A. Bruce, D. Donoho, and H.-Y. Gao, “Wavelet Analysis,” IEEE Spectrum, Oct. 1996, pp. 26–35.
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Kshipra Singh, Jijo S Nair, "Satellite Image Enhancement Using DWT and Gaussian Filter," International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.289-297, 2018.

The future of mobile wireless communication networks will be experiencing several generations. This kind of development will drive the researches of information technology in industrial area of continuous development and evolution. In this paper, we have explored future generations of mobile wireless communication networks including 4th, 5th，and so forth. If looking to past, wireless access technologies have been followed different evolutionary paths with aim at unified target related to performance and efficiency in high mobile environment. Android develops one of the most popular mobile operating system in the whole world, as a side effect of this popularity, Android becomes the most preferred destination of hackers with different aims, some of them looking for making money and others are just having fun by raid the privacy of the others without their authorization. Nowadays, Android security has become a major problem because of the free application provided and functionalities that make it very easy for anyone to progress it. However, various systems have been planned by a large number of scholars to address these problems.

3G, 4G, 5G, Phones, Android, Hacking

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[2] Types.org.uk,” Types of Phones “,2016. http://types.org.uk/phones/types-of-phones/
[3] Afaq H. Khan, Mohammed A. Qadeer, Juned A. Ansari, Sariya Waheed,” 4G as a Next Generation Wireless Network “, International Conference on Future Computer and Communication ,2009.
[4] Wikipedia,” List of mobile phone generation “, November 2017
[5] Latifa Er-Rajy, My Ahmed El Kiram,” How far android is secure?”, IEEE,2015
[6] Wikipedia,” 5G”, November 2017. https://en.wikipedia.org/wiki/5G
[7] Daniel George,” 5G Wireless System “, St. Thomas College ,2014
[8] Pankaj Sharma,” Evolution of Mobile Wireless Communication Network -1G to 5G as well as Future Prospective of Next Generation Communication Network “, IJCSMC, Vol .2, Aug 2013.
[9] David Hall 1 ,” The Important of Bandwidth “, Electronic Design ,” 2015, http://www.electronicdesign.com/test-measurement/simple-transient-response-measurement-determines-power-supply-bandwidth
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[18] https://www.theguardian.com/technology/2017/mar/26/12-ways-to-hack-proof-your-smartphone-privacy-data-thieves
[19] Seed Guide,” What are 1G, 2G, 3G & 4G network?”, SpeedGuide.net ,2017
[20] Xichun Li, Rosli Sallah ,” The Future of Mobile Wireless Communication Networks”, International Conference on Communication Software and Networks ,2009.

M.A. Bari, I. Sultana, N. Fathima, S. Ahamad, "Future Generation’ Mobile Protection and Security," International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.298-303, 2018.

For the last few decades several researches have been conducted on Online handwriting analysis. But scholars have unanimously agreed to the fact that it is challenging research area. To recognize with perfect prediction some pre-processing steps are essential. In this paper an honest endeavor is made to present dehooking as one of the important pre-processing steps. Here Bengali online handwritten Characters and words are considered as samples for removing hooks. Hooks are basically common artifacts used by people during fast writing. Hooks are very common issues present at the beginning in very rare case and the end of character stroke in maximum case and are generated by the pen-down and pen up movements respectively. Dehooking is the process of eliminating such unwanted strokes that appear due to inaccuracies in pen down position. Dehooking algorithms are applied to remove hooks. Here, strokes are detected by comparing the number of points with a threshold value. If the value is greater than the threshold value, the mark is retained or it is removed otherwise. In this new and innovative approach we focus on the dehooking at the end of character stroke and consider last 20 percent of each stroke for checking, according to distance from the co-ordinate of the first pixel. In last 20 percent of a stroke, we calculated angle among three consecutive pixels. If in a particular point, angle among three consecutive pixels is falling suddenly then immediately we pointed out that point. After pointing out the angle falling place we checked the entire remaining pixel after that point, whether all the remaining points are getting fade slowly or not. If it is found that all the remaining points are getting faded slowly then it can be assumed that it is a hook. After detecting the hook of a particular stroke we remove all the remaining pixels from the falling angle place so that hook can be removed and the handwritten character remains hook less. I have tested 4000 Bengali online handwritten characters and have got 97.02 percent of accuracy.

Online, Handwriting, Character, Angle, Fade, Hook

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[2] Aini Najwa Azmi, Dewi Nasien, Siti Mariyam Shamsuddin,“A review on handwritten character and numeral recognition for Roman, Arabic, Chinese and Indian scripts”, International Journal of advanced studies in Computer Science and Engineering, Vol 2 issue 4, 2013
[3] Fareeha Anwar, Muhammad Adnan Aftab, Dr.Syed Afaq Hussain, Dr.Ayyaz Hussain “Preprocessing of Online Urdu Handwriting for Mobile Devices”, International Journal of Computer Science and Network Security, Vol.17 No.10, October 2017
[4] Anitha Mary M.O. Chacko, Dhanya P.M.,“Handwritten Character Recognition in Malayalam Scripts– a Review”, International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 5, No. 1, January 2014
[5] Muhammad Imran Razzak, Syed Afaq Hussain, Muhammad Sher, Zeeshan Shafi Khan, “Combining Offline and Online Preprocessing for Online Urdu Character Recognition”, Proceedings of the International Multi Conference of Engineers and Computer Scientists 2009, Vol I IMECS 2009, March 18 - 20, 2009, Hong Kong

Gouranga Mandal, "An Innovative Approach of Dehooking for Online Handwritten Bengali Characters and Words," International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.304-307, 2018.