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As the automobile industry is growing rapidly, every individual has an urge to own the luxurious cars either for comfort or the number of safety features it may provide say the Advanced Driver Assistance System. However, due to the devices, sensors and monitoring systems, it includes such safety features limited to the higher classes of the society. But, safe driving is a requirement for the society as a whole in a holistic understanding. With the growing need for transportation, the life style of human race has transformed a lot. People focus on reaching their destination in minimal time ignoring the safety measures in many instances. This paper elucidates about a mobile application which helps the user in safe driving on different parameters by using smartphone sensors like the Accelerometer and its related technology.

Safe Driving, Accelerometer, SmartPhone, Mobile Applications

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Kukatlapalli Pradeep Kumar, Thandassery Sugathan Suraj, Vandana Lalit Pandya, Abin Joseph, "A Distinctive Approach on Safe Driving through Interactive and Behavioral Analysis," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.710-714, 2019.

The Chalcogenide glasses, in last couple of decades, have got a lot of attention because of their promising potential in studies of phase change optical storage media as well as due to interesting structural, physical, electrical, optical and thermal parameters. However, there is a general trend of using some amorphous materials instead of even very carefully prepared crystalline materials, in much needed investigation of such useful chalcogenide based materials. In the present study, the impact of bismuth (Bi) concentration variation on some important physical properties of Pb10Se80-xTe10Bix (x=2, 4, 6, 8, 10, 12, 14, 16 at. %) glassy alloys has been investigated theoretically. Almost all the parameters, studied here, have been found to vary linearly with increase in Bi concentration, thus making this suitable for phase change optical recording and find applications in rewritable optical recording storage media.

Chalcogenide Glasses, Average Coordination Number, Lone pair, Mean Bond Energy, Glass Transition Temperature

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Shilpa Gupta, Manuj Kumar Agarwal, Manish Saxena, "A Study on Physical Parameters of Pb-Se-Te-Bi System for Optical Memory Devices," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.715-719, 2019.

Basically, the contrast and sharpness of the images captured in underwater will be significantly deteriorated and diminished caused by the less perceptibility of the image which is due to the water medium’s physical properties. In this work, improved version of a block based scheme using tuned tri-threshold fuzzy intensification operator for underwater images is proposed. First of all, background image in underwater images are detected by DCT scaling. Later then image enhancement is done by using tuned tri-threshold fuzzy intensification operator and weber’s law. Propoposed algorithm is tested on various underwater images, collected from internet and compared with original block based scheme. Experimental results show that proposed scheme is better than original block based scheme

Underwater image, Fuzzy Intensification Operator, PSNR, Entropy, MSE

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[3] I. R. Terol-Villalobos, “Morphological connected contrast mappings based on top-hat criteria: A multiscale contrast approach,” Opt. Eng., vol. 43, no. 7, pp. 1577–1595, 2004.
[4] J. D. Mendiola-Santibañez and I. R. Terol-Villalobos, “Morphological contrast mappings based on the flat zone notion,” Computación y Sistemas vol. 6, pp. 25–37, 2002.
[5] L. Vincent and E. R. Dougherty, “Morphological segmentation for textures and particles,” in Digital Image Processing Methods, E. R. Dougherty, Ed. New York: Marcel Dekker, 1994, pp. 43–102.
[6] Jayanta Mukherjee, Senior Member, IEEE, and Sanjit K. Mitra, Life Fellow, IEEE “Enhancement of Color Images by Scaling the DCT Coefficients” Ieee Transactions On Image Processing, Vol. 17, No. 10, October 2008.
[7] Y. Luo and R. K. Wars, “Removing the blocking artifacts of block based DCT compressed images,” IEEE Trans. Image Process., vol. 12, no. 7, pp. 838–842, Jul. 2003.
[8] J. Jiang and G. Feng, “The spatial relationships of DCT coefficients between a block and its subblocks,” IEEE Trans. Signal Process., vol. 50, no. 5, pp. 1160–1169, May 2002.
[9] Zohair Al-Ameen,” Visibility Enhancement for Images Captured in Dusty Weather via Tuned Tri-threshold Fuzzy Intensification Operators”, I.J. Intelligent Systems and Applications, 2016, 8, 10-17.
[10] A. Saradha Devi et. al.,” A Block Based Scheme For Enhancing Low Luminated Images” The International journal of Multimedia & Its Applications (IJMA) Vol.2, No.3, August 2010.
[11]R. Schettini and S. Corchs, “Underwater image processing: state of the art of restoration and image enhancement methods,” EURASIP J. Adv.Signal Process., 746052, 2010.

D. Bhadoriya, R. Gupta, M. Gupta, "A Block Based Scheme using Tuned Tri-threshold Fuzzy Intensification Operators for Underwater Images," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.720-723, 2019.

Generally, Wireless Sensor Networks (WSNs) refers to a spatially distributed autonomous network which consists of several sensor nodes. These nodes sense and transport the data to the sink node through adjacent nodes. Contextual privacy is the main challenging issue in WSN. The attacker node gathers information from traffic patterns between source and sink. The protection of source and sink location is very essential to prevent the attacker from gathering information. An all-direction random routing algorithm (ARR) was proposed to protect source-location from attacker node. This algorithm utilized agent nodes to establish a path between sources and sink nodes using only local decisions. ARR is efficiently protecting source location but it exposes direction information of sink. So in this paper, ARR is improved by injecting fake packets and random walk of real packets to hide direction information. Additionally, the anonymity of source and sink location is improved by Two-fold location privacy protection scheme where anonymity is constructed around the source and sink node based on geographic information to hide actual location. In anonymity region, packets are sent from a fake source node and received by fake sink node. The number of fake source and sink is selected based on traffic flow.

Wireless Sensor Network, Contextual privacy, All-direction Random Routing algorithm, Improved All-direction Random Routing algorithm, Two-fold location privacy protecting

[1] X. Yi, A. Bouguettaya, D. Georgakopoulos, A. Song, J. Willemson, “Privacy protection for wireless medical sensor data”, IEEE transactions on dependable and secure computing, Vol.13, Issue.3, pp.369-380, 2016.
[2] K. Ravikumar, V. Manikandan, “Detection of Node Capture Attack in Wireless Sensor Networks”, International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.4, pp.56-61, 2018.
[3] M. Poonam, Mahajan, "WSN: Infrastructure and Applications", International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.1, pp.6-10, 2018.
[4] C. Gentili, G. Valenza, M. Nardelli, A. Lanatà, G. Bertschy, L. Weiner, P. Pietrini, “Longitudinal monitoring of heartbeat dynamics predicts mood changes in bipolar patients: a pilot study”, Journal of affective disorders, Vol.209, pp.30-38, 2017.
[5] L. Ranganath, K.S. Kavya, B.M. Priyanka, A.M. Shruthi, C. VidyaRaj, “Security for Source Node Privacy in Wireless Sensor Networks”, International Research Journal of Engineering and Technology, Vol.4, Issue.4, pp.1307-1309, 2017.
[6] N. Wang, J. Zeng, “All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks”, Sensors, Vol.17, Issue.3, pp.1-18, 2017.
[7] R. Di Pietro, A. Viejo, “Location privacy and resilience in wireless sensor networks querying”, Computer Communications, Vol.34, Issue.3, pp.515-523, 2011.
[8] B. Chakraborty, S. Verma, K.P. Singh, “Staircase based differential privacy with branching mechanism for location privacy preservation in wireless sensor networks”, Computers & Security, Vol.77, pp.36-48, 2018.
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[11] P.K. Roy, J.P. Singh, P. Kumar, M.P. Singh, “Source location privacy using fake source and phantom routing (FSAPR) technique in wireless sensor networks”, Procedia Computer Science, Vol.57, pp.936-941, 2015.
[12] J. Deng, R. Han, S. Mishra, “Countermeasures against traffic analysis attacks in wireless sensor networks”, In 2005. SecureComm 2005. IEEE First International Conference on Security and Privacy for Emerging Areas in Communications Networks, pp.113-126, 2005.

R. Jayanthi, M. Mohanraj, "An Anonymity Region Construction and Two Fold Location Protection Scheme for Improving Source and Sink Location Privacy in WSN," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.724-730, 2019.

In this era of technology and advancement, everything is getting online. Today people want to be part of everything but didn`t want to spare time for it. So when it comes to voting or polling, giving it time feels a very painful task, so why it should not be online? Online voting system as the name suggests is the concept of getting voting and polling done online, simply termed as ‘Internet Voting`. And to ensure security and authenticity of the vote, biometric authentication is done. This method is smart, quick, reliable, and secure. The earlier voting system was very time consuming and also were not so reliable. In the present day, the commonly used voting machine is EVM (Electronic Voting Machine), which have no mechanisms to verify the voter while casting vote and thus fake votes can be cast. But in the online voting system, Biometric authentication using fingerprint and unique voter identification number (here registration number provided during registration of voter) make it the most secure way of voting. This model covers all the limitation of present time in the voting system and is the most advanced of its time.

EVM, BA, TGS, UIDAI

[1] S. P. Everett, M. D. Byrne, and K. K. Greene, "Measuring the usability of paper ballots: Efficiency, effectiveness, and satisfaction", Proceedings of the Human Factors and Ergonomics Society 50th Annual Meeting, (2006) October 16-20; Santa Monica, USA

[2] S. P. Everett, K. K. Greene, M. D. Byrne, D. S. Wallach, K. Derr, D. Sandler, and T. Torous, "Electronic Voting Machines versus Traditional Methods: Improved Preference, Similar Performance", CHI Proceedings: Measuring, Business, and Voting, (2008) April 5-10; Florence, Italy.

[3] M. Patil, V. Pimplodkar, A. R. Zade, V. Vibhute and R. Ghadge, “A Survey on Voting System Techniques”, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, no. 1, (2013).
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Lalit Kumar Gupta, Utkarsh Tiwari, Manoj Kumar Chaudhary, Kuldeep Kasaudhan, "Secure Voting Using Bio-metric Authentication," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.731-735, 2019.

Data mining is the dominant area of consideration which makes simpler the profitable expansion evolution such as mining user preferred, mining web material ’s to get boldness about the formation or facilities and mining the competitors of an exact professional. In the fresh competitive vocation expansion, there is a necessity to analyse the competitive constructions and inspirations of an item that ultimate scratch its competitiveness. The guesstimate of competitiveness unceasingly sequences the procurer thoughts in terms of analyses, marks and a generous basis of suggestions from the net and other centers. In this technique, we extend the proper description of the competitiveness among two items, centered on the bazaar sections that they can both cover. A C-Miner++ procedure is planned that speeches the unruly of discovery the top-k competitors of an item in any given market by figuring all the sections in a given market based on excavating huge review datasets and it arises meaning of competitiveness. And also used C-Miner++ with feedback algorithm. Finally, we appraise the excellence of our outcomes and the scalability of our method using numerous datasets from dissimilar fields.

C-Miner++ algorithm, Feature extraction, Mining competitors, Score calculation

[1] Sk. Wasim Akram, G. Manoj Babu, D. Pratap Roy, G. Lakshmi Narayana Reddy, “A Comprehensive way of finding Top-K Competitors using C-Miner Algorithm”. International Research Journal of Engineering and Technology (IRJET) Volume: 05 Issue: 03 | Mar-2018 www.irjet.net
[2] Gokkul V, Angel Pemala G, “Augmented Competitor Mining With C-Miner Algorithm Based On Product Reviews ”. International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE) ISSN: 0976-1353 Volume 25 Issue 4 – APRIL 2018
[3] George Valkanas, Theodoros Lappas, and Dimitrios Gunopulos, “Mining Competitors from Large Unstructured Datasets”. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TKDE.2017.2705101, IEEE Transactions on Knowledge and Data Engineering
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N. Sathya, R.P. Sathya Prabha, V. Shashvitha, G. Kiruthika, M. Mukesh Patel, "Extracting top-k Competitors from Unorganized Data," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.736-742, 2019.

Nowadays, People care a lot about their health. Similarly, they have a pocket rocket technical object, which depicts the technological updating of the well beings. There is an application called HealthBot. HealthBot is a computer program planned to re-enact discussion with human clients to procure information approximately his wellbeing status, especially over the Internet. The Wellbeing Bot Benefit could be a SaaS arrangement that engages its accomplices to construct and send compliant, AI-powered wellbeing operators, permitting them to offer their clients brilliantly, personalized get to health-related data and intuitive through a normal discussion encounter. So, on considering the people’s priority list, an application that takes care of one’s health with the help of that technology was considered into account. As an account of such consideration, Rovi 1.0 is born from the three Budding Software engineers. At present, we have such things but this rovi will stand out in many aspects. The main scope & objective of this is to act like a packet nurse. To suggest the medicine for the diseases. It includes the most efficient way of maintaining the report that is useful in any situation. It includes the main supervised learning process that is more efficient. Prevention is better than cure. Systems are needed for dynamic interaction with people to gather Information, Monitor health condition and provide support, especially after hospital discharge or at-home settings. This can be possible by using the healthbot technique. This paper highlights different Information Mining strategies such as classification, clustering, affiliation conjointly highlights related work to dissect and foresee human illness.

Random forest algorithm, classification algorithm, clustering algorithm, K-mean, support vector machine

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[2] “Classification of large datasets using Random Forest Algorithm in various applications: Survey” ,Mohammed Zakariah Researcher, King Saud University College of Computer and Information Sciences, Riyadh, Kingdom of Saudi Arabia
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N. Sathya, S. Jayendren, S. Prasanth, S. Sharmila, "A Survey on HealthBot using Machine Learning Algorithms," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.743-749, 2019.

Echo and noise is one of the critical disturbances that alter the quality of radar images. To reduce the echo and noise in radar images we used adaptive Kalman filter. For radar image enhancement, denoising and echo cancellation are need of the system. In this paper an adaptive Kalman filter based model is proposed to reduce the echo and noise in radar images. The Kalman filter is compared with different parameters. Form experimental results the new proposed adaptive Kalman filter based model gives promising results for echo cancellation and denoising of radar images.

Adaptive Kalman filter, echo cancellation, denoising, deblurring, radar images

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[9]. Federico Garc´ıa-Rial, Luis Ubeda-Medina, Jesus´ Graja “Real- time GPU-based image processing for 3-D THz radar” DOI 10.1109/TPDS.2017.2687927, IEEE Transactions on Parallel and Distributed Systems 2017, vol. 28, issue 10, pp 1-13, oct
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Tracking by Fusing Millimeter Wave Radar and Image Sensor Data” International Conference on Control, Automation and Systems 2010 Oct. 27-30, 2010. [4] B. B. Mohapatra, Vishal Mahajan, Abid Hussain VALRDE, DRDO Bangalore, India, “Post Processing Techniques for Inverse. Synthetic Aperture Radar Imaging” IEEE 2016, Volume: 3. pp 1115-1120.
[11]. B.B Mohapatra, vishal Mahajan, Abid Hussain VA “Post Processing Techniques for Inverse Synthetic Aperture Radar Imaging” 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).
[12]. Qian Bao 1, Yun Lin 1, Wen Hong 1，Bingchen Zhang1
“Multi-circular synthetic aperture radar imaging processing
procedure based on compressive sensing” 4th Int. Workshop on Compressed Sensing on Radar, Sonar, and Remote Sensing 2016, pp 47-50.
[13].Thomas Wagner “Radar Signal Processing for Jointly Estimating Tracks and Micro-Doppler Signatures” Graduate Student Member, IEEE, Reinhard Feger, Member, IEEE and Andreas Stelzer, Member, IEEE 2017, Volume: 5, pp-1220- 1238.

Pratibha Tiwari, Agya Mishra, "Radar Image Enhancement Model Using Adaptive Kalman Filter," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.750-759, 2019.

Now a day’s mobile computing is becoming very popular and web services are new forms of software platform having standard protocols. Web services can be universally deployed and invoked using specified protocols. Implementing web service on Smartphone’s is a tedious process because of several physical restrictions in Smartphone’s. Smartphone’s are physically constrained devices with different operating systems like Android, iOS, blackberry, Symbian and many others. Physical constraints in Smartphone’s are limited memory, low processing power, intermitted wireless connection and limited battery. This factor needs to be considered while implementing web services for mobile devices. In this paper, we evaluate the RESTful web service for Smartphone’s. When picking a service to execute business logic transactions efficiently, we need to consider availability, accessibility, response time, and scalability as quality attributes. While taking into consideration of physical constraints of mobile devices we implement a controlled web service using fuzzy logic.

Smartphones, web service, business logic, iOS, Android, Symbian, blackberry, RESTful, fuzzy logic

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[4] AlShahwan, F., Moessner, K., “Providing SOAP Web Services and RESTful Web Services from Mobile Hosts”, Internet and Web Applications and Services (ICIW), 2010 Fifth, PP. 174-179.
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[10] Chatti Subbalakshmi , Rishi Sayal , H. S. Saini, “S-REST: A design of Secured Protocol for Implementation of RESTful Webservices”, International Journal of Computer Sciences and Engineering, Vol.7, Issue no 1, pp. 665-669, 2019.
[11] Tusha Agarwal, Abhishek Saxena, “A Review on Load Balancing Algorithm in Cloud Computing Using Restful Web Services”, International Journal of Computer Sciences and Engineering, Vol.6, Issue no 7, pp. 704-707, 2018.

K. S. Wagh, "To Control Mobile Web Services Access Using Fuzzy Logic," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.760-764, 2019.

Dengue disease caused over the tropical and sub-tropical area which spread by Aedes mosquitoes. Dengue has to turn into a severe healthiness problem occurs frequently in the humid and sub-tropical region. The scientists use the data mining algorithm for preventing and protecting different diseases like Dengue disease. This analysis of the attack of Dengue fever in different districts mainly Puducherry, Tamil Nadu. This paper helps to apply the algorithm for clustering of Dengue fever. After that, the construction of the clustering algorithm depends on the graph-based dataset. The K-Means clustering algorithm is applied to detect Dengue fever.

Dengue, Clustering, K-Means

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[2] Sahanaa C.*, Amit Kumar Mishra, Joy Bazroy., “Trend of Morbidity and Mortality of
Dengue in Tamil Nadu and Puducherry, South India”, International Journal of Community Medicine and Public Health, volume.5, Special Issue.1, January 2018.
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[8] Mohammed Shahadat Hossain, Ishrat Binteh Habib, Karl Andersson, “A Belief Rule-Based Expert System to Diagnose Dengue Fever under Uncertainty”, IEEE Computing Conference, volume.1, Special Issue.5, July 2017.
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P.Yogapriya, P.Geetha, "K-means Clustering Algorithm for Dengue Disease Detection using Tanagra Tool," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.765-768, 2019.