Volume-07 , Special Issue-15 , May - 2019 Go Back

The six sigma is used in targeting the business process of the organization by reducing and fixing the defects being occurred by driving the six standard deviations among the mean and its specification limit, which is why it is known to be six. The research study of the paper suggests the application aspect in the software development that are proven to be eliminating the final defects from the overall products be delivered thus by reducing the variations.

Agile, Lean, Six Sigma, Software Development

[1] Tauseef Aized, “Total Quality Management nd Six Sigma”, First Edition, Croatia, InTech, 2012.
[2] George Eckes, “The Six Sigma Revolution”, John Wiley & Sons, USA, 2001.
[3] Dr. Amit Gupta and Yogesh Bhardwaj, “Total Quality Managemen& Six Sigma Instrument”, IJMBS, Vol. 3, Iss. 4, Dec 2013.
[4] Rafa E. Al-Qutaish and Khalid T. Al-Sarayreh, “Applying Six Sigma Concepts to the Software Engineering: Myths and Facts”, 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems (SEPADS ’08), University of Cambridge, UK, 2008.
[5] Antonio Carlos Tonini, Mauro de Mesquita Spinola, Fernando Jose Barbin Laurindo, “Six Sigma and software development process DMAIC improvements”, Presented at: Technology Management for the Global Future [online], available at: https://www.researchgate.net.
[6] Ivan Marsic, “Software Engineering”, Rutgers University, USA, 2012.
[7] Jiju Antony and Maneesh Kumar, “Lean Six Sigma: Research and Practice”, BookBoon.com, UK, 2011.
[8] Mark Richards, “Software Architecture Patterns”, First Edition, O’Reilly Media, USA, 2015.
[9] Informit.com, “Software Quality Metrics Overview”, [online] Available: http://www.informit.com/articles/article.aspx?p=30306, 2002.

Aditya Pai H, Chimaya Dash, Prakash Behera, Piyush Kumar Pareek, "Adaptation of Six Sigma Method in Software Development", International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.309-314, 2019.

Wireless Sensor Network (WSN) is a self-configuring network of small sensor nodes communicating among themselves using radio signals and deployed in quantity to sense, monitor and understand the physical condition. In this paper, much of interest is shown towards the design of WSNs by using cross layer Adaptive Dynamic Retransmission technique. The objective of the work is to compare the performance of the DSR (Dynamic Source Routing) and PSR (Proactive Source Routing) protocol with the proposed work. The DSR and PSR protocols consumes more energy, hence it is required to design an energy efficient routing protocol for WSN. The performance of above mentioned techniques is compared on basis of parameters such as Throughput, Packet Delivery Ratio, Packet Loss Ratio and End to End Delay. Mechanism of the proposed work is adapted to transmit power between two nodes and to utilize the transmitted energy efficiently by making use of adaptive Dynamic Retransmission technique.

Wireless Sensor Networks (WSN), Cross Layer Protocol (CLP), Adaptive Retransmission, Dynamic Source Routing (DSR), Destination Sequenced Distance Vector (DSDV)

[1] Yong Yuan, Zhihai He and Min Chen, “Virtual MIMO-based Cross Layer Design for Wireless Sensor Networks”, July 14, 2005.
[2] Surekha K B and T G Basavaraju, “Energy Efficient Cross Layer Routing Protocol with Adaptive Dynamic Retransmission for Wireless Sensor Networks”, IJCNWC ISSN: 2250-3501, Vol.4, No2, and April 2014.
[3] Guowei Wu, Feng Xia, Lin Yao, Yan Zhang and Yabwei Zhu, “A Hop-by-hop Cross-layer Congestion Control Scheme for Wireless Sensor Networks”, National Science Foundation, 60903153.
[4] Philipp Hurni, Torsten Braun, Bharat K. Bhargava and Yu Zhang, “Multi-Hop Cross-Layer Design in Wireless Sensor Networks: A case Study”, 7th Framework programme of the European Union, ICT-2008-224460 (WISEBED), United States National Science Foundation, ANI-0219110, IIS-0209059.
[5] Sanjeev Puri and S.P. Tripathi, “Adaptive Scalable Cross Layer Framework for Multi-hop Wireless Sensor Networks”, IACSIT International Journal of Engineering and Technology, Vol.3, No.3, June 2011.
[6] Ling Tan, Huiqiang Tang and Yujuan Liu, “Energy-Efficient Wireless Sensor Networks: A Novel Dynamic Clustered and Cross-Layer Cooperation Approach”, International Journal of Advancement in Computing Technology-IJACT, Vol.3, No.9, October 2011.
[7] Fatma Bouabdallah, Nizar Bouabdallah and Raouf Boutaba, “Cross-Layer Design for Energy Conservation in Wireless Sensor Networkss”.
[8] S.C. Chabalala, T.N. Muddenahalli and F. Takawira, “Energy-Efficient Dynamic Source Routing Protocol for Wireless Sensor Networks”, IJCSNS International Journal of Computer Science and Network Security, VOL.12 No.10, October 2012.
[9] Zehua Wang, Yuanzhu Chen, and Cheng Li, “PSR: A Lightweight Proactive Source Routing Protocol For Mobile Ad Hoc Networks”, IEEE Transactions On Vehicular Technology, Vol. 63, No. 2, February 2014
[10] Hussein Mohammed Salman, “Survey of routing protocols in wireless sensor networks”, International Journal of Sensors and Sensor Networks, 2014; 2(1): 1-6.

Lokesh S, Yuvaraju B N, "Cross Layer Routing Protocol in WSN - Performance analysis", International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.315-319, 2019.

The fast development of road infrastructure, the volume of vehicle on the road network increases which leads to traffic Congestion. The same scenario exists in the Bangalore of India. Traffic congestions are amongst the top list of the problems faced in other Indian cities such as Mumbai,Delhi,Pune etc. This is mainly caused due to the rapid up rise in the number of vehicles in a short span of time. To overcome such impact of traffic congestions, it is required to develop an IoT and Vehicle detection-based algorithm traffic control system. The proposed system would be based on the measurement of the actual traffic density on the road. This would be achieved using a real time video and image processing techniques with machine learning algorithms. Propose a fast vehicle flow detection algorithm based on a learnt background dictionary. The proposed detection algorithm detects vehicles by background dictionary and has a robust and best performance in real-time. Combining the virtual region and the virtual detection line, the proposed detection algorithm is robust in accuracy.The theme is to control the traffic by determining the traffic density on each side of the road and enabling a controlling option of the traffic signal to the user through a software application and Raspberry Pi3

IOT(Internet Of Things), Image processing, machine Learning, sensors, web application server

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[3] S. Kumar Janahan, M. R.M. Veeramanickam, S. Arun, K. Narayanan, R.Anandan and S. Javed Parvez, ”IoT based smart traffic signal monitoringsystem using vehicles counts”, International Journal of Engineering andTechnology, vol. 7, no. 221, p. 309, 2018.
[4] Ashok P.V, SivaSankari. S and V. M. S. Sankaranarayanan,”IoT BasedTraffic Signalling System,” International Journal of Applied EngineeringResearch ISSN 0973-4562 Volume 12, Issue 19 (2017) pp. 8264-8269.
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[7] K. Ramachandran and R. Priya,”Iot Based Traffic Management SystemAnd Congestion Control,” International Consortium of Scientists andResearchers, Volume 3, Issue 1, Dec, 2017
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Basavaraja CG, Mangala CN, "Traffic Signal Control Based on Vehicle Detection Algorithm & IOT", International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.320-324, 2019.

The garbage bins placed at public or in a campus places are overflowing and it creates unhygienic conditions and also ugliness to that place. At the same time bad smell is spread with diseases. To avoid all such situations a project called Garbage collection bin overflow indicator using IOT (Internet of Things) technology can be implemented. Resultantly, smart cities with smart waste management systems can be implemented. One of the applications of IoT is the effectivein management of garbage for healthy environment for life on this green planet with greater efficiency. The purpose is to develop an IoT based costeffective system that can monitor the everyday garbage in real time by using smart technology with the help of android and web applicationand Ultrasonic sensors.

IoT(Internet of Things); garbage monitoring; Ultrasonic sensor, Android and web application

[1]S.S.Navghane1,M.S.Killedar2,Dr.V.M.Rohokale3. ”IoT Based Smart Garbage and Waste Collection Bin” , ISSN: 2278 – 909X, International Journal of Advanced Research in Electronics and Communication Engineering(IJARECE), Volume 5, Issue 5, May 2018.
[2]Prof. Dr. Sandeep M. Chaware1, Shriram Dighe2, Akshay Joshi3, Namrata Bajare4, Rohini Korke5, “Smart Garbage Monitoring System using Internet of Things (IOT)” ,International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering ISO3297:2007 Certified Vol. 5, Issue 1, January 2018, ISSN(Online) 2321 – 2004 ISSN (Print) 2321 – 55263.
[3]Vishesh Kumar Kurre1 “Smart Garbage Collection Binoverflows Indicator using IOT” , International Research Journal of Engineering and Technology (IRJET), Volume:03 Issue: 05 | May-2017, e-ISSN: 2395 -0056
[4]P.R. Naregalkar, Krishna Kishore
Thanvi, Rajat Srivastava, “IOT Based Smart Garbage Monitoring System” , International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (An ISO 3297: 2007 Certified Organization) Vol. 6, Issue 5, May 2017
[5]SomuDhana Satyamanikanta1, M.Narayanan2, ”smart arbage monitoring system using sensors with rfid over internet of things”, Journal of Advanced Research in Dynamical and Control Systems Vol. 9. Sp– 6 / 2017
[6]Akash k t, Dineshchoudhari S Y, Sandeep C U, Prof. Rashmi.P.M. ” IOT BASED GARBAG MONITORING SYSTEM”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 6, Issue 4, April 2017, ISSN: 2278 – 1323.
[7]. A Anitha,” Garbage monitoring system using IoT”, 14thICSET-2017, IOP Conf. Series: Materials Science andEngineering 263 (2016) 042027 doi:10.1088/1757-899X/263/4/042027
[8]. Ruhin Mary Saji1 , Drishya Gopakumar2 , Harish KumarS3 , K N Mohammed Sayed4 , Lakshmi s5,” ASurveyonSmart Garbage Management in Cities using IoT”,International Journal Of Engineering And ComputerScience ISSN: 2319-7242 Volume 5 Issue 11 Nov. 2016,Page No. 18749-18754(2017).
[9].Shashank Shukla, Neeraj Shukla, PhD,” Smart Waste Collection System based on IoT (Internet of Things): A Survey”, International Journal of Computer Applications (0975 – 8887) Volume 162 – No 3, March 2016.
[10]Vikrant Bhor, PankajMorajkar, MaheshwarGurav, Dishant Pandya, “Smart Garbage Management System”,International Journal of EnginneringReasarchandtechnology(IJERT) ISSN: 2278 -0181 Vol..4 Issue03, March-201611. S. Raza, L.Wallgren, and T. Voigt, “SVELTE: Real-Time Intrusion Detection in the InternetofThings”, Ad Hoc Networks, Elsevier, pp 2661–2674, May 2016.]

D. Chaitra, ChetanaSrinivas, "Garbage Management using Internet of Things", International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.325-328, 2019.

the major problem in day to day life is parking of vehicles especially the car parking at an particular place. And this issue indirectly leads to traffic congestion. A basic concept of using IoT insmart parking services in the smart cities as an important application of the Internet of Things (IoT). the system can will be accessible through a mobile app or through the webpage and it can be used to monitor then to find the empty slots in that area. the user can be parking their vehicle in the empty slot through the mobile application and before only he can book his slot for the particular time in particular place.

IoT Internet of things Car parking, Connectivity(c), Constrained Applicatio), Protocol (CoAP), End node(e), Hypertext transfer protocol(HTTP), Internet of Things (IoT), Internet protocol(IP), Message queuing transport telemetry protocol(MQTT), Processing node(p), Smart cities, Transmission control protocol(TCP),

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Prakruthi G R, Arun biradar, "Smart Parking Sensors, Technologies and Application Based IoT", International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.329-333, 2019.

Routing is a mechanism to build links or connections between two or more nodes with or without the infrastructure. A Routing algorithm is a method for determining the routing of packets in a node. For each node of network, the algorithm determines a routing table, which in each destination, matches an output line. The algorithm should lead to a consistent routing, that is to say without loop. This means that you should not route a packet a node to another node that could send back the package.There are three main types of routing algorithms- Vector (distance-vector routing),To link state (link state routing), Path to vector (path-vector routing).This paper focus on the survey of reactive and proactive routing protocols like OLSR, AODV, RIP, OSPF, DSR.

DV,LSR,RIP,DSR, AODV

[1]. The AODV protocol is basically flat routing protocol so it does not require any inner organizational methodto handle the routing process.
[2]. In AODV routes established on demand and that destination sequence numbers are applied for find the latest route to thedestination.
[3]. The connection setup delay islower.
[4]. The AODV protocols are a loop free and avoid the counting to infinityproblem.
[5]. At most one route per destination maintain at each node.
[6]. It can lead to heavy controloverhead.
[7]. MorigereSubramanya Bhat, Shwetha .D, Manjunath .D and DevarajuJ.T.”Scenario Based Study of on denmand Reactive Routing Protocol for IEEE-802.11 and 802.15.4 Standards”ISSN: 2249-57 Vol 1(2), 128-135 published in October-november2011.
[8]. Ashish Bagwari,RamanJee,PankajJoshi,SourabhBisht “Performance of AODV Routing Protocol with increasing the MANET Nodes and it’s effects on QoS of Mobile Ad hoc Networks” 2012 International ConferenceonCommunicationSystemsandNetworkTechnologies.
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Prapulla G, Prasanna Kumar M, "Survey: Proactive and Reactive Routing Protocols", International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.334-338, 2019.

Today’s software industry is operating on loses because of a modern threat known as Digital Piracy. Not only the software industry, various sectors of the industry like the cinematography, authors, inventers and discoverers are facing a threat wherein their work may attain a global attention without bringing them anything. A recent studies has shown that due to recent craze of digitization and the socio-economic condition, people are more inclined towards acquiring everything without even giving it time and money. This is becoming a threat to the intellectual property owners. This paper is all about understanding the factors affecting digital piracy, the types of digital piracy and the various steps and measures needed to stop the digital piracy from spreading its wings.

Piracy, factors, types, peer-to-peer applications, BitTorrent

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[4] K.P. Chow, K.Y. Cheng, L.Y. Man, Pierre K.Y. Lai, Lucas C.K. Hui, C.F. Chong, K.H. Pun, W.W. Tsang, H.W. Chan, S.M. Yiu, “BTM – An Automated Rule-based BT Monitoring System for Piracy Detection”, 2007
[5] A. Parker, Peer-to-Peer in 2005, CacheLogic Research, available at http://www.cachelogic.com/home/pages/studies/ 2005_01.php
[6] BitTorrent Protocol, BitTorrent.org, available at http://www.bit torrent.org/protocol.html
[7] Yawei Zhang, Lei Jin, Xiaojun Ye, “Software Piracy Prevention: Splitting on Client”, IEEE International Conference on Security Technology, December 13-15, 2008
[8] H. Chang and M. Atallah. Protecting software code by guards. Security and Privacy in Digital Rights Management,LNC S, 2320:160–175, 2002.
[9] George Coulouris, Jean Dollimore & Tim Kindberg. Election Algorithm, Bully Algo & Ring based algo. In Distributed Systems, 2006
[10] A. G., Galletta, D. F., & Thong, J. Y. L. “Software piracy in the workplace: A model and empirical test. Journal of Management Information Systems”, 2003
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Soumee Maschatak, Chandan Raj BR, "Digital Privacy and Security: A Survey on the Modern Threat on the Digitization", International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.339-343, 2019.

IOT plays a important role in agriculture. IOT uses sensors which are capable of providing information about agriculture field. Smart farming is managing farms using technologies like IOT to increase the quantity and quality of products by improving yields of crops. Wireless sensor network are being proposed for watering of crops to increase the productivity and gives the new direction for research in agriculture and farming through a mobile application in a smartphone. Wisekar is used to detect the disease in crops and report the type of crop disease to the farmer. As Farmer is the backbone of our country this work help the farmers handle various operation wirelessly through mobile applications and providing smart agriculture to farmers.

Smart farming;IOT(Internet Of Things); wireless sensor network; wisekar; Smartphone

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Sowmyashree S, Arun Biradar, "IOT and Agriculture Data Analysis for Smart Farm", International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.344-348, 2019.

Major bank hacking cases and bank robbery is reported constantly. The digital forensic evidence is the most important thing for incident response. Therefore, this paper proposes IP (Internet Protocol) traceback technique for better digital forensic. The paper considers one of the most important components in the modern banking system, namely the direction related to ensuring the security of customer data. The number of bank cards is rapidly growing, and accordingly the network of automated teller machines (ATMs). There are smart cards, which provide higher reliability than cards with a magnetic line. This system allows the issuance of money to the client only when scanning his face. The explosive usage of mobile devices enables conducting electronic transactions involving direct signature on such devices. Thus, user signature verification becomes critical to ensure the success deployment of online transactions such as approving legal documents and authenticating financial transactions. This paper proposes a critical segment based online signature verification system to secure mobile transactions on multi-touch mobile devices. The system extracts useful features from a user’s signature that describe both the geometric layout of the signature as well as behavioral and physiological characteristics in the user’s signing process. The experimental evaluation provide signature verification and robust to signature forging attacks.

digital forensic, IP traceback technique, financial network, financial institutions; biometric ATMs, online handwriting signatures, signature authentication, signature verification, critical segment

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Pawanraj S P, Prasanna Kumar M, "Internet Protocol Traceback Technique and Signature & Biometric Authentication for Financial Networks", International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.349-355, 2019.

There is no denial in the fact that a huge portion of the underwater world whether its seas, oceans or rivers not been explored yet. In recent year, researchers are finding ways to explore and study the underwater resources. Underwater wireless sensor networks, developed for gathering information from the undersea environment. Due to the undersea environment features, enhancing the network lifetime is a significant object. In this paper a 3D node deployment strategy, an algorithm for relay node setting in underwater wireless sensor network (UWSN) with enhancing performance of routing in underwater wireless sensor network has presented. The 3D node deployment strategy targets 3D UWSN and not only improves the routing protocol performance in terms of end-to-end delay and energy consumption but also provides reliability in data transmission and increases network lifetime. For fixing a relay node in an appropriate place, an algorithm which is named Relay Node Setting Algorithm (RNSA) that works in a 3D UWSN has presented. The proposed algorithm for improving the network lifetime, upon entry the relay node, finds an appropriate place for it. Routing protocol performs route discovery and route maintenance phase which tries to minimize the network data and packet collision.

Underwater Wireless Sensor Networks, Network Lifetime, 3D Node deployment, relay node, routing techniques

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Yashwanth Kumar K S, Rajshekar S A, "Enhancing the Lifetime of Underwater Wireless Sensor Networks", International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.356-360, 2019.