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4th IEEE International Conference on MOOCs, Innovation and Technology in Education, MITE 2016

作者： Rajashekharaiah, K.M.M. Pawar, Manjula Patil, Mahesh s. Kulenavar, Nagaratna Joshi, G.H. Dept. of Computer Science and Engineering B.V. Bhoomaraddi College of Engineering and Technology Hubballi India

ISBN: (纸本)9781509010622

After being used to a procedural style of programming, programming in an object-oriented style seems to be difficult. The problem analysis skill is also important where it leads to designing solution for complex problems. In the process of problem analysis, it is big challenge for the students to identify classes, attributes, methods and association between the classes from a given problem statement/scenario and then mapping to program code. The problem analysis is part of design thinking, where it consists of five phases Empathy (Emphasize), Define, Ideate, Prototype and Test. In this course we implemented a modified standard "Design Thinking Framework" through structured enquiry assessment, in our framework few phases are overlapping and it is defined using following phases - 1. Define, 2. Ideate & Prototype, 3. Test. This framework is add-on to our previous practice where a comprehensive tutorial for "Object Oriented Thinking" is conducted first to minimize students difficulties. Also it includes "laboratory experiment categorization" to help students in improving problem analysis and design skills. by using the above said approaches, it is observed that the students are able to use object oriented concepts efficiently to solve problems, design solutions and performed better in semester end examination. © 2016 IEEE.

关键词： students

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Image correspondence using affine sIFT flow 1

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3rd International Conference on Innovations in computer science and engineering, ICICsE 2015

作者： Dedeepya, P. sandhya, b. Department of Computer Science and Engineering M.V.S.R Engineering College Hyderabad India

ISBN: (数字)9789811004193

ISBN: (纸本)9789811004179

Image correspondence is one of the critical tasks across various applications of image processing and computer vision. The simple correspondence is being studied from many years for the purpose of image stitching and stereo correspondence. The images assumed for the simple correspondence have same pixel value even after applying the geometric transformations. In this work, we try to correspond images sharing similar content but vary due to change in acquisition like view angle, scale, and illumination. The use of features for flow computation was proposed in sIFT flow, which was used for correspondence across fields. In this method, dense sIFT descriptors are extracted and flow is estimated for matching the sIFT descriptors between two images. In this work, we applied sIFT flow algorithm on the affine transformations of images to be aligned. © springer science+business Media singapore 2016.

关键词： stereo image processing

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Exploring the Transformative Convergence of IoT and Fog Computing for Healthcare, Agriculture, Urbanization, and Transportation 6

Exploring the Transformative Convergence of IoT and Fog Comp...

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6th International Conference on Recent Trends in Advance Computing, ICRTAC 2023

作者： suresh, Kotari Humera Khanam, M. S. V. University College of Engineering Department of Computer Science and Engineering Tirupati India

ISBN: (纸本)9798350394702

The integration of IoT and fog computing technologies has the potential to revolutionize a number of sectors, including healthcare, agriculture, urbanization, and transportation. Real-time human health monitoring, sensor-generated bio-signals, and wireless communication protocols enable effective decision-making, medication management, and diagnostics in the healthcare industry while protecting sensitive medical data. Fog computing and Internet of Things solutions for agriculture improve production management and pest control using wireless sensor networks, giving farmers the most recent data on the state of the environment, the health of their crops, and pest activity. Fog computing and the IoT provide sustainable growth and better urban services, resource allocation, and citizen experiences in smart city efforts, solving difficulties brought on by expanding urban colonies. Fog computing and the IoT also benefit transportation systems, particularly through the use of vehicular ad hoc networks (vANETs), which improve driving experiences, traffic efficiency, and traffic forecasting, ultimately resulting in increased safety, fewer accidents, and better overall infrastructure for transportation. by utilizing real-time data analytics, connectivity, and intelligent decision-making, the convergence of fog computing and IoT presents a significant opportunity to address pressing issues in healthcare, agriculture, urbanization, and transportation. This will help to create a future that is more effective, sustainable, and interconnected across many industries. © 2023 IEEE.

关键词： Fog computing

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Dynamic Tree Routing Protocol with Convex Hull Optimization for Optimal Routing Paths

Dynamic Tree Routing Protocol with Convex Hull Optimization ...

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2022 International Conference on Electronics and Renewable systems, ICEARs 2022

作者： Anitha, Cuddapah sivakumar, C. Rajasekar, vani velliangiri, s. SreeVidyanikethan Engineering College Department of Computer Science and Systems Engineering Andhra Pradesh India Kongu Engineering College Department of Computer Science and Engineering Tamilnadu India B v Raju Institute of Technology Dept of Computer Science and Engineering Narasapur India

ISBN: (纸本)9781665484251

Wireless sensor networks (WsN) benefit from their ability to deploy many smaller autonomous nodes without an infrastructure. The sensor nodes collect information from the physical world after deployment and according to a given protocol for communication. A strong technique for a wide range of applications of various needs has arisen as WsN is regarded important in all fields. but a few obstacles still remain until a mature technology finally emerges. The energy limitation is one of the major concerns in sensor nodes, where batteries are the primary source of power. A vast majority of work has been carried out in this context in order to provide a wide range of energy efficiency approaches. In this work, we adopt a method to find the effects of parameters contributing to energy consumption in WsNs using an optimal energy modelling. A dynamic tree routing protocol with convex hull optimization is adopted. These techniques are adopted to lower the energy consumption while the packet is carried between the source and destination nodes. The study also maintains the trade-off between other network metrics like network throughput and energy lifetime. These techniques are adopted to lower the energy consumption while the packet is carried between the source and destination nodes. The study also maintains the trade-off between other network metrics like network throughput and energy lifetime. © 2022 IEEE.

关键词： Energy utilization

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Recurrent neural network based bER prediction for NLOs channels 07

Recurrent neural network based BER prediction for NLOS chann...

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4th International Conference on Mobile Technology, Applications and systems, Mobility 2007, Incorporating the 1st International symposium on computer Human Interaction in Mobile Technology, Is-CHI 2007

作者： Gowrishankar satyanarayana, P.s. Computer Science and Engineering B.M.S. College of Engineering Bangalore India Electronics and Communication B.M.S. College of Engineering Bangalore India

ISBN: (纸本)9781595938190

bit error rate (bER) will enumerate the Channel state Information (CsI) in wireless network. Accurate and timely estimation of CsI will guarantee the Quality of service (Qos) by admission control, inter and intra network handovers. Here the bER of time varying Non line of sight (NLOs) channels are predicted by neural network system. The wireless channel is modeled as time variant nonlinear system. The neural network systems are the best suitable paradigm to predict and analyze the behaviors of time varying nonlinear system. In this framework bER is predicted by two different recurrent neural network architectures such as Recurrent Radial basis Function Network (RRbFN) and Echo state network (EsN). Copyright 2007 ACM.

关键词： Quality of service

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RsOM-based Clustering and Routing in WsNs 2nd

RSOM-Based Clustering and Routing in WSNs

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2nd International Conference on smart Innovations in Communications and Computational sciences ICsICCs-2018

作者： Asha, G.R. subrahmanyam, Gowrishankar Department of Computer Science and Engineering B M S College of Engineering Bangalore India Department of Computer Science and Engineering Jain University Bangalore India

ISBN: (纸本)9789811324130

Wireless sensor Networks (WsNs) play a vital role in data transmission based on the location of sensor Nodes (sNs). The WsN contains base station (bs) with several sNs and these nodes are randomly spread in the region. The bs is to give the commands and directions to the sN. Nowadays, an energy consumption and lifetime are the major issues in the WsN. Hence, an efficient clustering and routing mechanism are implemented based on a popular Neural Network (NN) concept: Recurrent self Organizing Map (RsOM) (RsOM-WsN). In this paper, the life time of sNs and energy consumption of the proposed method is compared with state-of-art techniques of clustering and routing in WsN: LEACH-WsN, PsO-PsO-WsN, FCM-PsO-GsO, and EbC-s. © 2019, springer Nature singapore Pte Ltd.

关键词： sensor nodes

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Analysis of Cyber security Attacks using Kali Linux

Analysis of Cyber Security Attacks using Kali Linux

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2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022

作者： Gururaj H, L. soundarya b, C. Janhavi, v. Lakshmi, H. Prassan Kumar, M.J. Vidyavardhaka College of Engineering Computer Science and Engineering Mysuru India B.G.S Institute of Technology Computer Science and Engineering B.G Nagar India

ISBN: (纸本)9781665483162

In the prevailing situation, the sports like economic, industrial, cultural, social, and governmental activities are carried out in the online world. Today's international is particularly dependent on the wireless era and protective these statistics from cyber-assaults is a hard hassle. The reason for cyber-assaults is to damage thieve the credentials. In a few other cases, cyber-attacks ought to have a navy or political functions. The damages are PC viruses, facts break, DDs, and exceptional attack vectors. To this surrender, various companies use diverse answers to prevent harm because of cyberattacks. Cyber safety follows actual-time data at the modern-day-day IT data. so, far, numerous techniques have proposed with the resource of researchers around the area to prevent cyber-attacks or lessen the harm due to them. The cause of this has a look at is to survey and comprehensively evaluate the usual advances supplied around cyber safety and to analyse the traumatic situations, weaknesses, and strengths of the proposed techniques. Different sorts of attacks are taken into consideration in element. In addition, evaluation of various cyber-attacks had been finished through the platform called Kali Linux. It is predicted that the complete assessment has a have a study furnished for college students, teachers, IT, and cyber safety researchers might be beneficial. © 2022 IEEE.

关键词： Cybersecurity

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Hybrid Optimization Algorithm for Handwritten Document Enhancement

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computers, Materials & Continua 2024年第3期78卷 3763-3786页

作者： shu-Chuan Chu Xiaomeng Yang Li Zhang václav snášel Jeng-shyang Pan College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao266590China School of Information and Control Engineering Qingdao University of TechnologyQingdao266520China Faculty of Electrical Engineering and Computer Science VŠB-TU OstravaOstrava70080Czech Republic Department of Information Management Chaoyang University of TechnologyTaichung41349Taiwan

The Gannet Optimization Algorithm (GOA) and the Whale Optimization Algorithm (WOA) demonstrate strong performance;however, there remains room for improvement in convergence and practical applications. This study introduces a hybrid optimization algorithm, named the adaptive inertia weight whale optimization algorithm and gannet optimization algorithm (AIWGOA), which addresses challenges in enhancing handwritten documents. The hybrid strategy integrates the strengths of both algorithms, significantly enhancing their capabilities, whereas the adaptive parameter strategy mitigates the need for manual parameter setting. by amalgamating the hybrid strategy and parameter-adaptive approach, the Gannet Optimization Algorithm was refined to yield the AIWGOA. Through a performance analysis of the CEC2013 benchmark, the AIWGOA demonstrates notable advantages across various metrics. subsequently, an evaluation index was employed to assess the enhanced handwritten documents and images, affirming the superior practical application of the AIWGOA compared with other algorithms.

关键词： Metaheuristic algorithm gannet optimization algorithm hybrid algorithm handwritten document enhancement

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Covertness analysis of subliminal channels in legitimate communication

Covertness analysis of subliminal channels in legitimate com...

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International Conference on Advanced Computing, Networking and security, ADCONs 2011

作者： Gururaja, H.s. seetha, M. Koundinya, Anjan K. Department of Information Science and Engineering B.M.S. College of Engineering Bangalore India Department of Computer Science and Engineering G. Narayanamma Institute of Tech. and Science Hyderabad India Department of Computer Science and Engineering R.V. College of Engineering Bangalore India

ISBN: (纸本)9783642292798

secure transaction over a network is one of the critical application which employs high-level cryptographic methods to secure information exchange. secure communication merely relies on the strength of a cryptographic method. However early research in 80's have explored possibilities of various loopholes in a cryptosystem, one of which is the attacks based on subliminal channel. This was first demonstrated by G. simmons for DsA Algorithm by planting covert or subliminal data in one of the variables in DsA. subliminal channel user embeds the covert data in traditional cryptosystem and this is termed as backdoor - an unintended design mathematically planted in any cryptographic algorithm. such attacks on secure network will compromise the most important attribute of network called "privacy". This paper explores all the theoretical boundaries involved with subliminal channels and proposes a new metric called "covertness index" which indicates the strength of the trapdoor or backdoor placed in the communication channels. This index assists in assessing or evolving a detection method to analyze the embodied trapdoor in a communication channel. This paper also proposes certain changes to elliptic curve model for generating randomness which is a vital step in creation of cryptographic keys in public-key cryptosystem. © 2012 springer-verlag.

关键词： Network security

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Ensemble Approaches for Offensive Language Detection in Kannada 3

Ensemble Approaches for Offensive Language Detection in Kann...

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3rd International Conference for Innovation in Technology, INOCON 2024

作者： Monish, M.N. sooda, Kavitha B.M.S. College of Engineering Dept. of Computer Science & Engineering Bengaluru India

ISBN: (纸本)9798350381931

In the realm of natural language processing, sentiment analysis remains a focal point due to its pivotal role in discerning and analyzing public sentiments. While past research has been dedicated to enhancing the performance of sentiment analysis models, this study delves into the potential benefits of ensemble techniques, with a special emphasis on Genetic Algorithm (GA) optimization, The main thrust of this research was to investigate whether merging multiple models and subsequently optimizing their weights via GA could elevate performance. Evaluations were thoughtfully conducted, focusing on the weighted precision, recall, and F1-scores of individual models. Additionally, the study compared the ensemble methods, both with and without GA optimization, The ensemble method, even without the GA optimization, secured an impressive F1-score of 0.73. Upon integrating the GA optimization, there was a gentle improvement in the ensemble's performance, achieving an F1-score of 0.75, In summing up, this study manifests a palpable enhancement in sentiment analysis outcomes when shifting from standalone models to a GA-optimized ensemble mechanism. The results, epitomized by an F1-score peaking at 0.75, underline the intrinsic merits of harnessing GA for weight optimization in ensemble constructs. © 2024 IEEE.

关键词： Genetic algorithms

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