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Synthetic Aperture Radar (SAR) is a technology used for producing satellite images with high resolution. Since few decades SAR imagery has been the most famous and prominent thing in the context of earth’s observation because of its capability of penetrating through the soils and clouds. Also, SAR imagery has a good ability to operate at any condition type of weather during days and nights. In Remote Sensing technology it is playing a vital role because of this capability and ability. But the presence of undesirable data influences the actual details of the SAR image. This undesirable data is called as noise. This specific noise is also called as “Speckle”. The SAR images are corrupted by the presence of this strong noise. Over few years many techniques have been used to remove the noise from SAR imagery. This process of removing the speckles or noise from SAR imagery is called as Despeckling. In this paper, different methods which are used for removing the noise are discussed.

Synthetic Aperture Radar, Speckle, Despeckling

[1] Yaser Arianpour, Hamidreza Aminavar, James A. ritcey, “Gradient based SAR image despeckling and super resolution usimg Zernike moments and boostrapping”, in the proceedings of the 2017 IEEE Radar Conference, USA, 2017.
[2] Gao Chen, Gang Li, Yu Liu, Xiao-Ping Zhang, Li Zhang, “SAR image despeckling by combination of fractional-order total variation and non-local low rank regularization”, in the proceedings of the 2017 IEEE International Conference on Image Processing, Beijing, China, 2017.
[3] G. Chierchia, D.Cozzolino, G.Poggi, L.Verdoliva, “Sar image despeckling through convolutional neural networks”, IEEE Signal Processing Letters, Vol.24, Issue.12, pp.1763-1767, 2017.
[4] Qingjun Zhang, Tengfei Li, Yu Zhu, ZhengLv, “Sar image despeckling based on a novel total variation regularization model and gf-3 data”, in the proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 2018.
[5] Jie Geng, Jianchao Fan, Xiaorui Ma, Hongyu Wang, Ke Cao, “An iterative low-rank representation for sar image Despeckling”, in the proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 2016.
[6] FengGu, Hong Zhang, Chao Wang, Bo Zhang, “Residual encoder-decoder network introduced for multisource sar image Despeckling”, IEEE publisher, Beijing, China 2017.
[7] Weiping Ni and Xinbo Gao, “Despeckling of SAR Image Using Generalized Guided Filter With Bayesian Nonlocal Means”, IEEE Transactions On Geoscience And Remote Sensing, Vol.54, Issue.1, 2016.
[8] Zhenchuan Pang, Guanghi Zhao, Guangng Shi, Fangfang Shen, “SAR Image Despeckling with Adaptive Sparse Representation”, in the proceedings of the 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, Fuzhou, China, 2015.
[9] Yao Zhao, Jianguo Liu, Bingchen Zhang, Wen Hong, Yirong Wu, “An adaptive total variation regularization method for sar image Despeckling”, in the proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, Melbourne, VIC, Australia, 2014.
[10] Aiyeola Sikiru Yommy, Rongke Liu, Spencer Ojogba Onuh and Ani Cosmas Ikechukwu, “SAR Image Despeckling and Compression Using K-Nearest Neighbour Based Lee Filter and Wavelet”, in the proceedings of 8th International Congress on Image and Signal Processing, Shenyang, China, 2016.
[11] NageswaraRao Sirisala and C.Shoba Bindu, “A Novel QoS Trust Computation in MANETs Using Fuzzy Petri Nets, International Journal of Intelligent Engineering and Systems”, Vol.10, No.2, (2017), pp 116-125
[12] NageswaraRao Sirisala and C.Shoba Bindu, “Uncertain Rule Based Fuzzy Logic QoS Trust Model in MANETs, International Conference on Advanced Computing and Communications –ADCOM”, (IITM PhD forum), (2015), pp.55-60.1

V.B.Pravalika, S. Nageswararoa, B. Seetharamulu, "A Survey on Despeckling Of Synthetic Aperture Radar Images," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.608-612, 2019.

Every online transaction is at a great risk of attacks by hackers who attempt to steal bank details provided online by the customers. These digital money transactions have lead to the invention of various crypto-currencies. These crypto-currencies work on the principles of blockchain technology. Blockchain acts as public ledger for all such crypto-currency transactions in a de-centralized manner. It verifies all the online transactions using peer-to-peer network of computers without any third party interventions. Blockchain database contains the complete history of all the transactions done in the past. It is shifting the entire financial industry from trusting people to trusting math and may be a disruptive technology for existing enterprises by changing the existing business models. This paper discusses about blockchain and its disruptive capabilities for today’s society and industries.

Blockchain, security, trust, business model, digital currency, financial industry

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[4]. D. A. Tapscott, “Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World”, 2016, ISBN:1101980133 9781101980132
[5]. Z. Zheng, S Xie, H. Dai, H. Wang, “Blockchain Challenges and Opportunities: A Survey”. Work Pap, 2016
[6]. https://www.investopedia.com/terms/b/blockchain.asp
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[8]. M. Nofer, P. Gomber, O Hinz, D. Schiereck “Blockchain”, Bus Inf. Syst Eng 59(3):183–187, 2017.
[9]. M. Atzori, “Blockchain technology and decentralized governance: Is the state still necessary?”, Work Pap, 2015.

Pratibha Maurya, "Blockchain- a Disruptive Technology for Existing Enterprises," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.613-615, 2019.

Employees working in various professions & occupations are prone to face varieties of health problems due to work pressure. The level of increasing work pressure as assessed by the perception of having little control but lots of demands have been demonstrated to be associated with increased rate of health issues such as hypertension, back pain, feeling fatigued, headaches, disorders and sometimes heart attack. Work pressure also causes accidents, diminished productivity, medical, legal and financial costs. In healthcare industry, data mining plays an essential role for predicting diseases of employees under work pressure. High volume of data that can be generated for the prediction of diseases of employees is analyzed traditionally and is too complicated along with voluminous to be processed. Data Mining provides the methods and techniques for transformation of the data into useful information for decision making. These techniques can make process fast and take less time to predict the diseases of employees under work pressure with more accuracy to improve their health in advance.

Data Mining, Predicting Disease, Work Pressure, Healthcare, Decision Making

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S. Anitha, M. Vanitha, "Survey on Predicting Diseases of Employees under Work Pressure Using Data Mining Techniques," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.616-620, 2019.

It is a Location based alarm with Tasks is an attempt to add an alarm facility for mobiles, based on the location of the device using GPS. The location based alarm will give you alert when you reach your desired destination. Location based alarm is a GPS based alarm, If you set an alarm, it will make a sound and notification once it`s detected you are within the user defined range from the destination. The user needs to save the Start location using longitude and latitude, the alarm will ring when the user is near to the Destination Point. This location based alarm is useful for the travelling sales persons and persons who are travelling in any Mode of transportation. The travelling sales person needs to do different kind of works in different places. It is difficult to remember all the places for him. So by using this application he can set an alarm to the places, where he need to go. The GPRS settings must be enabled on a mobile device to use this application .we are using a SHA1 signature to generate a key Google map API key and Google play service API for displaying the map in mobile device.

Component, Formatting, Style, Styling, Insert (key words)

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[2]Mashood M., "GPS based Advanced Vehicle Tracking and Vehicle Control System", I.J.Intelligent Systems and Applications, Published Online February 2015 in MECS, 2015.
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[4] Android developers < http://developer.android.com>
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Priyansh Dixit, Ayush Gupta, Amit Kumar, "Study & Implementation of Navigation of Destination Based on Alarm System in Mobile," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.621-623, 2019.

The Internet of things is term basically composed of two word “Internet” and “Things” .The first word describes interconnecting every possible computing device in the world and second word describe everything that is addressable and communicable will be connected. Many issues in IoT include privacy, security, reliability, link failures, routing, heterogeneity etc. In this paper main focus on Routing. It is one of most important service in IoT. Routing is necessary to exchange the information in things and many protocols are designed and developed for optimum path selection. It depends on residual energy, delay and number of forwarding nodes in the path. In IOT continuous movement of nodes, frequently changing topology and limited resources it’s become great challenge for the researcher in routing field. The paper provides literature survey on IoT with past research and discussion about applicability towards the IoT and routing challenges with comparison of different routing protocols using different parameters.

Routing, Protocols, IoT

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evaluation of LOADng routing protocol in IoT P2P and MP2P
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Reena Pingale, S.N. Shinde, "Literature Survey : Routing techniques in IOT," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.624-628, 2019.

Business knowledge instruments are basically information driven Decision Support Systems (DSS). These instruments can give verifiable, current, and prescient point of view of business activities, frequently utilizing information that has been accumulated into an information distribution center or an information shop and sometimes working from operational in-formation. Programming components bolster detailing, intelligent "cut up" rotate table investigations, representation and factu-al information mining and Predictive examination. This paper centers around imaginative examination in enormous infor-mation and business insight is intended to give us an upper hand in the advanced, quickly developing business space. The ex-amination gives the more profound information, propelled aptitudes and understanding that will enable us to add to the ad-vancement and structure of huge information frameworks just as dispersed web empowered choice help application program-ming frameworks, utilizing innovations like information investigation, business knowledge, information mining, information warehousing, conveyed information the board and advances.

Business intelligence,Big data,Data analysis, Power BI

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Nasreen fatma, Sapna jain, M. Afshar alam, "Visualisation and Analysis of Big Data through Business Intelligence," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.629-636, 2019.

In this paper, we prove the set of all Pythagorean fuzzy matrices form a commutative monoid with respect to algebraic sum and algebraic product. Also, the De Morgan`s laws and Distributive laws are provided and we define the @ operations on Pythagorean fuzzy matrices and analyze its algebraic properties. Further, some results prove equalities and inequalities of Pythagorean fuzzy matrices.

Intuitionistic fuzzy matrix, Pythagorean fuzzy set, Pythagorean fuzzy matrix, Algebraic sum and Algebraic product

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I. Silambarasan, S. Sriram, "Commutative Monoid of Pythagorean Fuzzy Matrices," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.637-643, 2019.

In the era of new generation networking systems, Next generation networks, software defined networking, data aware networkings are prominent areas for researchers to develop various architectures and systems, and the concept of data aware networking was initially coined by ITU-T. Various types of data are treated as data objects and are identified either by name or identification number and the same are used for sharing of data in the World Wide Web. The request response mechanism of client and servers happens with the name of identification number of data object duly hiding the URL way of accessing the data items. This paper proposes routing algorithms for data object routing in World Wide Web.

Data aware networking, Data Objects, World Wide Web, data sharing, Future Networks

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O.Koteswara Rao, Y K Sundara Krishna, G K Mohan Devarakonda, "Data Object Routing Algorithms for Data Aware Networking," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.644-646, 2019.

Internet of Things (IoT) is a word used to designate an atmosphere where billions of objects are connected to the internet and are interacting independently. IoT is an innovative prototype providing novel set of services for the future technological inventions. Applications of IoT are unlimited with continuous addition of the cyber-world with the physical world. Smart healthcare system advancement and dissemination has become possible by the convergence of various IoT architectures. In specific, the IoT has been extensively useful to interconnect medical resources and deliver reliable, effective and smart healthcare services to the elderly and patients with a chronic illness. IoT changes the manner in which the facilities are conveyed to the healthcare industry. This paper presents major technologies in IoT-based smart healthcare services. It starts with introduction, definition of IoT, IoT enabling technologies in smart healthcare and IoT challenges in smart healthcare.

IoT (Internet of Things); Medical resources; Smart Healthcare; Challenges

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Renuka R. Londhe, "Evolution of Internet of Things Enabling Technologies in the Field of Healthcare Service," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.647-652, 2019.

Development of OCRs for Indian script is an interesting area of research today. Indian scripts present great challenges to an OCR researcher due to the large number of letters in the alphabet, the sophisticated ways in which they combine, and the complicated graphemes they result in. The trouble is compounded by the unstructured manner in which popular fonts are designed. There is a many common structure in the different Indian scripts.This paper present brief review on online and offline character recognition of Devanagari and Gurumukhi script.India is a multi-lingual country consisting of eleven different scripts such as Gurmukhi, Tibetan ,Oriya, Urdu , Tamil Telgu etc. Devnagari is third most widely used script, used for several major languages such as Marathi, Hindi, Sanskrit, and Nepali, and is used by more than 500 million people. Punjabi belongs to Gurumukhi script which is an Indo-Aryan language spoken by approximate 130 million people mainly in West Punjab in Pakistan and in East Punjab in India. There are also substantial numbers of Punjabi speakers in the UK, Canada, the UAE, the USA, Saudi Arabia and Australia.

Handwritten Devnagari and Gurmukhi Character Recognition, Off-line Handwriting Character Recognition, pre-processing Segmentation, Feature Extraction, and classification

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Gita Sinha, Shailja Sharma, Ashif Habibi, "Review Paper: Devanagari and Gurumukhi Character Recognition," International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.653-657, 2019.