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Enhancing the confidentiality of text embedding using image steganography in spatial domain

AIP Conference Proceedings 2021年第1期2387卷

作者： N. Karthikeyan K. Kousalya N. Krishnamoorthy N. Jayapandian 1Department of Computer Science and Engineering Government College of Engineering Sengipatti Thanjavur- 613001 Tamil Nadu India 2Department of Computer Science and Engineering Kongu Engineering College Perundurai Erode-638060 Tamil Nadu India 3Department of Computer Science and Engineering School of Engineering and Technology CHRIST (Deemed to be University) Bangalore-560029 Karnataka India

Rapid growth in technological development, the use of the internet has grown many folds. Along with it, the sharing of privacy information in networks creates ownership issues. In order to create a high level of security for sharing private information, the concept of steganography is introduced along with encryption based invisible watermarking techniques. The proposed system hides the encrypted private messages by using onetime pad which follows the concept LSB algorithm in spatial domain. The system combines steganography and encryption for enhancing the confidentiality of the intended messages. At first, the private information of the user is encrypted by using the onetime pad algorithm. Then the encrypted text is hidden the Least Significant Bit (LSB) of the different components of the color image in such a way that as to minimize the perceived loss of quality of the cover image. The beneficiary of the message is able to retrieve the hidden back and from the stego-image and extract the cipher text and find the plaintext from using the onetime pad algorithm. The proposed algorithm will be tested and analysed against three different hiding positions of color image components.

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Enhancing effectivity of automated irrigation system using fuzzy logic

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AIP Conference Proceedings 2021年第1期2336卷

作者： S. Krishna Bhat Sukanya S. Kumar Keerthana Krishnakumar Sherin Shaju Pankaj Kumar G. 1Department of Computer Science and Engineering Federal Institute of Science And Technology (FISAT) Angamaly Kerala-683 577 India 2Department of Electrical and Electronics Engineering Mets School of Engineering Mala Kerala-680 732 India

Irrigation in agricultural lands is critical and time-consuming and its automation possess huge challenges. A smart irri- gation system needs real-time values of moisture, humidity, temperature etc. Capturing the real-time values of moisture, humidity, temperature etc. requires the deployment of multiple sensors at multiple locations. The occurrence of localized phenomena can affect the proper functioning of the irrigation system. Determining the parameters and deciding how much irrigation is to be done, is a daunting task. Moreover, these values can be altered or falsely measured due to highly localized situations or interference, like the proximity of a generator when it switches on can alter the temperature measured by the nearest sensor, or that of a water container or bucket placed near the sensor can alter humidity values. All these factors can affect the judgement of how irrigation is done by the automation system and hence affect the crops, as these readings would cause either over-irrigation or dehydration of certain areas of the crop, and can result in damaged or reduced productivity. Our approach consists of deploying a large number of sensors throughout a large agricultural land and aggregating the data. The localized errors can be weeded out through proper analysis of sensor data. We used a fuzzy logic-based system to make decisions on irrigation. Certain instances may require human intervention to resolve, such as intentional tampering of sensors or destruction of sensors due to pests or natural phenomenon. The system detects and alerts the farmer or worker to check in at that particular site.

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Intuitionistic fuzzy clustering and natural exponential inertia weight with Artificial Bee Colony based scheduling approach for mobile grid

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AIP Conference Proceedings 2021年第1期2387卷

作者： Kavitha Bharathi Shanmugam Dhavamani Mohanasundaram 1Department of Computer Technology –UG Kongu Engineering College Perundurai Erode Tamilnadu India - 638 060 2Department of Mathematics Kongu Engineering College Perundurai Erode Tamilnadu India - 638 060

Research in mobile grid computing is inspired by the broad benefits of intensive scientific and enterprise applications by the scientific community in grid and mobile computing. The primary aim of grid computing is to combine the power of wide-ranging resources that are very diverse in nature and provide users with essential services to users in the future. Resources are complex and varying in a mobile grid system and the availability is limited for a period of time. With resource mobility in mind, classification is the most challenging and primitive challenge in the mobile grid environment. The previous paradigm outlined the Quantum based approach on Gravitational search Algorithm (QBGSA) for scheduling the task (job) on a mobile computing grid. In any case, it has problem with computational difficulty and execution time. To solve this problem, the proposed system designed an Intuitionistic Fuzzy C-Means (IFCM) clustering and Natural Exponential Inertia Weight with Artificial Bee Colony (NEIWABC) based scheduling approaches. In this proposed research work, grid server has all the information about mobile grid networks. Once it receiving the task request from user, it verifies the available resource providers. The nodes are clustered by using Intuitionistic Fuzzy C-Means (IFCM) clustering algorithm and Cluster Head (CH) selection is done using mobile capacity such as storage capacity, computational power. Then the task request is promoting to the selected CH in the cluster. Then the CH schedules the jobs to the appropriate mobiles to respond user. The task scheduling is performed by using Natural Exponential Inertia Weight with Artificial Bee Colony (NEIWABC) algorithm. The results of this experiment depicts that the proposed system attains good efficiency on comparison with previous system.

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Cost-reliability driven analysis to evaluate performance of a distributed system

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AIP Conference Proceedings 2022年第1期2481卷

作者： Sagar Gulati Neeraj Dhiman Neha Arora Parul Chutani Anand Chauhan 1Department of Computer Science College of Engineering Roorkee India 5Department of Mathematics Graphic Era deemed to be University Dehradun India 2Department of Mathematics Graphic Era Hill University Dehradun India 3School of Computing University of Engineering and Technology Roorkee Uttarakhand India 4EEE Department Technology Education and Research Institute Kurukshetra India

The self-standing computers embodies a distributed system, intertwined by a concatenated web associate degreed endowing the software of districuted system. The hardware fragment of distributed system with remodelling the size of some workstations integrated by one native space network with bazillions of computers twinned with multifold wide area networks. The potential of distributed system is unveiled which supports the trade-off of reliability and cost buttoned up with comprehensive search mechanisms. The diversified attributes like the reliability of execution and reliability, price of execution and communication are the principal components and portrayed in matrices, explicitely the CRM(,), ERM(,), CCM(,), electronic welfare(,). Reorientation and conversion of these matrices is consistant with the conjucted tasks. Every task fusion evaluates the reliability of the distributed computer contiguous with the execution cost as well as the communication cost. The optimum indisputable response of distributed computing system is bagged when the reliability aspect is modulated for all the blends of tasks. A live of elongated performance is achieved finally beyond shadow of doubt.

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Designing and testing of renewable energy based electric vehicle with GSM technology

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AIP Conference Proceedings 2023年第1期2690卷

作者： B. Senthil Kumaran J. P. Sridhar J. Kamalakannan K. V. Malini S. Monesh A. Venkata Narayana 1Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthaka R&D Institute of Science and Technology Avadi Chennai–600 062Tamil Nadu India 2Department of Electrical and Electronics Engineering SJB Institute of Technology Bangalore - 560060 Karnataka India 3Department of Mechanical Engineering GKM College of Engineering and Technology G.K.M. Nagar Perungalathur Chennai Tamil Nadu 600063 India 4Department Electrical and Electronics Engineering Sri Sairam College of Engineering Anekal Bangalore 562106 Karnataka India 5Department of Computer Science and Engineering Jerusalem College of Engineering Chennai 600100 India 6Department of Biotechnology Vignan’s Foundation for Science Technology & Research (Deemed to be University) Vadlamudi Guntur-522213 Andhra Pradesh India

The ability to drive a car is a significant step toward independence for individuals with impairments, however, the standard driving system placed in a car does not provide the functionality for the challenged driver to operate the vehicle. Hence, in this project, we focused on designing a prototype of a car that works with the help of renewable energy like solar for people who have disabilities related to their legs or arms. It will be very helpful for those people who have physical disabilities to drive from one place to another without counting on anybody. The research shows that the issues about sustainable mobility are gaining increasing attention both in public opinion and specialists because of the major impact of automotive systems on carbon Dioxide production, climate change (global warming), and fuel exhaustion. So, by using renewable energy such as solar energy as source power it helps pollution-free, sustainable, and causes no greenhouse gases which will save the environment in the future. Probably the best development in the clinical field that helped both the old and the impeded is the portability vehicle. The expense of the vehicle may not be reasonable for an average person. In this case, an endeavor is made to manufacture a Solar Electric vehicle for disabled people at an ideal cost that can be used easily. It ensures the physically challenged people to be comfortable in travel and life. As solar energy is the main source on which we are focusing nowadays, because of many reasons like pollution, cost of fuel and also due to unavailability of the fuels. In the future solar energy will be the major source. The features have made in this solar electric vehicle are intelligent ones and are very useful for physically disabled people who want to be independent. In addition to that, the GSM is attached to the vehicle for monitoring disabled people. If the vehicle got any damage or the people is in out of control or any other irregular activities are found

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ML-based intelligent management and prediction of heart disease

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AIP Conference Proceedings 2023年第1期2690卷

作者： Gnanaprakasam C. N. N. Arockia Rosy Vaishali Gajendra Shende N. B. Prakash P. V. Pramila S. Ramesh 1Department of Electronics and Instrumentation Engineering St. Joseph’s College of Engineering Chennai - 600 119 Tamil Nadu India 2Department of Information Technology R.M.D. Engineering College Kavaraipettai Thiruvallurdistrict Tamil Nadu 601206 India 3Department of Information Science and Engineering East Point College of Engineering and Technology Avalahalli Bengaluru Karnataka 560049 India 4Department of Electrical and Electronics Engineering National Engineering College K.R.Nagar Thoothukudi District Kovilpatti-628503 Tamil Nadu India 5Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamilnadu - 600077 India 6Department of Electronics and Communication Engineering St. Mother Theresa Engineering College Vagaikulam Thoothukudi Dist. – 628102 Tamil Nadu India

Heart disease or Coronary illness, leads to many kinds of disease and deaths beyond a couple of many years. Dataset cleaning is simply an incorporated method for tackling gigantic data in the health care space. This examination paper presents different traits identified with coronary illness and the model on-premise of administered learning calculations as K-closest neighbour (KNN) and Support Vector Machine. The results depict that the most elevated exactness score is accomplished with SVM. Utilizing a profound learning approach, 96.07 % exactness was gotten. computerized reasoning strategies have been generally utilized in clinical choice emotionally supportive networks for expectation and finding of different infections with great exactness. These characterizing strategies are extremely successful in planning clinical emotionally supportive networks because of their capacity to get covered up examples and connections in clinical information given by clinical experts. Perhaps the main utilization of such a system is in the analysis of heart sicknesses since it is one of the main sources of passings from one side of the planet to the other. A framework dependent on such danger variables would assist clinical experts with welling it would give patients an admonition about the plausible presence of coronary illness even before the patient visits an emergency clinic or goes for exorbitant clinical check-ups. Thus, this paper presents a procedure for the expectation of coronary illness utilizing significant danger factors with the assistance of various Classifying Algorithms. In this paper, the accuracy of ML Algorithms like SVM and K-Nearest Neighbour is been compared and the results are depicted.

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Design of full state feedback controller for controlling depth of underwater robot

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AIP Conference Proceedings 2021年第1期2334卷

作者： Bashir Abdullahi Baba Parvaneh Esmaılı 1Department of Computer Science Sule Lamido University Kafin Hausa Jigawa State Nigeria 2Department of Electrical and Electronics Engineering Near East University North Cyprus Turkey

Underwater robots have the ability to go down the sea up to several meters of height without any fear of loss of human lives. These robots need autonomous control systems and guidance to carry out their tasks. One of the main objectives of any underwater robot is to reach a given depth under the water and also be able to maintain that depth throughout the operation period. In this paper a simple full state feedback controller was designed to control the underwater robot's depth, despite all the external forces and disturbances during a given mission.

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Design and development of digital e-library

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AIP Conference Proceedings 2021年第1期2387卷

作者： Vani Rajasekar Premalatha J. Sathya K. Janani Varthini R. Ishwarya S. 1Department of Computer Science Engineering Kongu Engineering College Perundurai-638060 Tamil Nadu India 2Department of Information Technology Kongu Engineering College Perundurai-638060 Tamil Nadu India 3Department of Computer Technology (UG) Kongu Engineering College Perundurai-638060 Tamil Nadu India

Digital libraries are platforms that allow users to access structured information in a knowledge-based repository of data and access. In the end, the availability of good content and easy accessibility and use will drive the production and growth of digital libraries. Significant advancements in IT and the rapid development of online data have generated an intense interest in tools to help users find desired data. This paper describes how, particularly in college libraries, a digital library can be built and enforced in an academic library. The specifications for hardware, software, processing and recovery technologies are addressed. An elegant user interface, combined with better browsing, insertion and reporting capabilities, functionality that anyone can access from anywhere. The library’s automatic update facility helps to get a clear idea of which books are accessed by the members, allows users to create a ’hard copy’ report. The Digital library system stores information such as name, address, ID number, date of birth of library members. The information of books such as book name, book number, topic to which it refers, author, edition, edition, year of publication, total number of publications, total number of books in the library can also be stored and accessed digitally.

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Risk and effective analysis of COVID-19 vaccine using mathematical models in the pandemic situation

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AIP Conference Proceedings 2022年第1期2516卷

作者： N. Balaji N. B. Sanjana E. P. Siva R. Lokesh A. J. Catherina 1Department of Mathematics College of Engineering SRM Institute of Science & Technology Kattankulathur 603 203 Chennai India 2Department of Computer science(software) College of Engineering SRM Institute of Science & Technology Kattankulathur 603 203 Chennai India 3College of Management SRM Institute of Science & Technology Kattankulathur 603 203 Chennai India

In the present situation COVID-19 global pandemic, an overall world got embrace with covid-19 virus. Moreover every country went under quarantine and firm mitigation measures by temporary shutdown in people crowded place like schools, restaurants, theatres and domestic and international transport facilities[1]. So government made these measures to be effective to support and compliance of public[2]. Advanced medical technology put up with new vaccines to control infection of virus. Vaccination is one of the most effective step to control the virus from affecting the entire population. This paper aims to explore the optimal effectiveness of Vaccination for novel COVID-19 non clinical approach. We need smart solutions and decisions to mitigate the coronavirus`s impact. We formulate the mathematical model to Analyse the vaccination effectiveness[3]. The objective function is designed to reduce both awareness of vaccination and effectiveness of vaccination using WHO data/ Indian dashboard data[4]. The degree of protection As a part we can analyse the risk factors of immunization using multivariate models using statistical analysis.

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Comparison of methods of prediction of compressive strength of concrete using multiple linear regression in microsoft excel and artificial neural networks in RStudio

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AIP Conference Proceedings 2021年第1期2358卷

作者： Mohammed Hussain G. Yedukondalu Y. Kamala Raju V. Kamakshi Prasad 1Department of Civil Engineering Gokaraju Rangaraju Institute of Engineering and Technology(GRIET) Hyderabad India 2Department of Computer Science and Enginering Vignan Institute of Technology and Science Hyderabad India 3Department of Computer Science and Engineering Jawaharlal Nehru Technological University Hyderabad(JNTUH) Hyderabad India

Compressive strength (CS) of concrete is a key quality factor that is being monitored continuously in all construction projects which use huge quantity of concrete throughout the world. Engineers need to be open minded with the attitude of lifelonglearning to upskill with the ever-evolving softwareand hardware technologies. Seven day and twenty-eight-day compressive strengths of concrete samples with varied amounts of cement, blast furnace slag, fly ash, water, super plasticizer, coarse aggregate, and fine aggregate are studied. Multiple Linear Regression (MLR) models are fitted for this data in Microsoft Excel. Artificial Neural Networks (ANNs) in RStudio are developed for this data. The performances of both methods are compared. This paper takes care of Goal 12 of United Nations Sustainable Development of ensuring sustainable consumption and production patterns as environmentally degrading materials (flyash and blast furnace slag) are used.

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