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OPTIMIZED TARGET TRACKING USING HEURISTICS BASE DISPENSED ADVERT ORIENTED ALGORITHM

Microprocessors and Microsystems 2021年

作者： S. Alonshia Dr. P. Sumathy Research Scholar Department of Computer Science and Engineering Bharathidasan University Khajamalai campus Tiruchirappalli- 23 Tamilnadu India Assistant Professor Department of Computer Science and Engineering Bharathidasan University Khajamalai campus Tiruchirappalli- 23 Tamilnadu India

A Wireless Sensor Network based Target-Tracking is an emerging and challenging research area among the researchers. The existing problems to track the targets in some selective sensor nodes must be under continuoussurveillance. To overcome the issues in continuous monitoringof sensor nodes can be optimized by this model concentrates on behavior based node selection dictionary creation and recording. In target-tracking, each sensor is adapted in numerous systems, for example, grounds security, reconnaissance, natural surroundings, and medicinal services checking. Data can be transmitted in a specially appointed multi-bounce structure using the web or by a sign to screen fromsensor coverage area or target and can frame a pervasive system for a few internet providers. In this paper, CENS (Consecutive Edge Node Selection) and HBDAO (Heuristics-base Dispensed-Advert-Oriented) techniques proposed to figure out the trusted and Omni boundary detection of nodes that are in the WSN simultaneously verify the active, passive status and behavior history of each node. This proposed techniques showed better results in the experiments on a simulated environment than the existing edge node detection techniques. This model also contributed tracking and maintain the accuracy, throughout management and latency avoidance in efficient manner.

关键词： Target Tracking Energy Efficient Routing Protocol WSN

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Predicting the price range of mobile phones using machine learning techniques

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AIP Conference Proceedings 2021年第1期2387卷

作者： K. S. Kalaivani N. Priyadharshini S. Nivedhashri R. Nandhini 1Assistant Professor Department of Computer Science Engineering Kongu Engineering College Perundurai Erode Tamil Nadu India 2UG Scholar Department of Computer Science Engineering Kongu Engineering College Perundurai Erode Tamil Nadu India

During the purchase of mobile phones, various features like memory, display, battery, camera, etc., are considered. People fail to make correct decisions, due to the non-availability of necessary resources to cross-validate the price. To address this issue, a machine learning model is developed using the data related to the key features of the mobile phone. The developed model is then used to predict the price range of the new mobile phone. Three machine learning algorithms namely Support Vector Machine (SVM), Random Forest Classifier (RFC), Logistic Regression are used to train the model and predict the output as low, medium, high or very high. The dataset used in this study is taken from Kaggle platform. In order to improve the classification accuracy, Chi-Squared based feature selection method is used. Among 21 features available in the dataset, only top 10 features namely RAM, pixel height, battery power, pixel width, mobile weight, internal memory, screen width, talk time, front camera and screen height are selected and used to train the model. Before applying feature selection, the accuracy obtained using SVM, RFC and Logistic Regression is 95%, 83% and 76% respectively. After feature selection, the accuracy of SVM, RFC and Logistic Regression improved to 97%, 87% and 81% respectively. From the experiments conducted, it is found that SVM gave superior performance when compared to other two classifiers.

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Android security: State of art and challenges

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AIP Conference Proceedings 2021年第1期2387卷

作者： R. Thamilselvan K. Tamil Selvi C. Mahalakshmi N. Sanjeev Yogesh Bala 1Professor Department of Master of Computer Application Kongu Engineering College Erode Tamil Nadu India - 638060 2Assistant Professor Department of Computer Science and Engineering Kongu Engineering College Erode Tamil Nadu India - 638060 3PG Scholar Department of Master of Computer Application Kongu Engineering College Erode Tamil Nadu India - 638060

Now-a-days Android devices are rapidly increasing as per user's need and very helpful to fulfil personal and professional need. Also, these devices are quickly turning into a genuine danger because of the various malwares and security issues and threats present in them. In this paper, different proposals of security mechanisms and techniques are reviewed, which are used to ensure the security of these devices along with the latest state of art. It also discovers different kinds of security mechanisms that include authorization related issues, which are a continuous wonder in Android applications. Consent related issues that can often times wait inside an application for an all-inclusive timeframe, which can be as high as quite a while, prior to being fixed. With the collected information, security mechanisms are evaluated to find the effectiveness of methods for forestalling and identifying portable malwares and threats. Also analyzed, the motivating forces that cause benign android hobbyists to distribute root exploits and overviewed the accuracy and accessibility measures of those techniques.

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An empirical analysis of machine learning frameworks for digital pathology in medical science

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Journal of Physics: Conference Series 2021年第1期1767卷

作者： S.K.B. Sangeetha R Dhaya Dhruv T Shah R Dharanidharan K. Praneeth Sai Reddy Assistant Professor(Sr.G) Department of Computer Science and Engineering SRM Institute of Science and TechnologyVadapalani CampusChennai-600026 India Associate Professor Department of Computer Science and EngineeringKing Khalid UniversityKingdom of Saudi Arabia UG Student Department of Computer Science and Engineering SRM Institute of Science and TechnologyVadapalani CampusChennai-600026 India

Digital pathology is a technology that allows pathological information created from a digital slide to be accessed, handled, and interpreted. Using optical pathology scanners, glass slides are collected and transformed to digitized glass slides that can be viewed on your computer monitor. Relevant support for education and the practice of human anatomy is offered by digital pathology. With the recent developments in digital pathology led to computer-aided diagnosis using machine learning approaches. So, machine learning frameworks assist physicians in diagnosing critical cases such as cancer, tumors, etc and improve patient management. With an ever growing number of choices, it can be hard to pick a better machine learning method for pathological data. Big potential attempts are made in this paper to research the full context of digital pathology with the specifics of how artificial intelligence has contributed to digital pathology. This review also analyzes various machine learning frameworks by providing as much information as possible and quantifying what the tradeoffs will be. This paper ultimately provides the improvements in the frameworks available that will be required in the near future applications.

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Secured Communication in Vehicular Adhoc Networks (VANETs) using Blockchain

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IOP Conference Series: Materials Science and engineering 2021年第1期1022卷

作者： Shivaprasad More Rahul Sonkamble Udaykumar Naik Shraddha Phansalkar Priyanka More Baljit Singh Saini Assistant Professor Department of Computer Science and Engineering Sanjay Ghodawat University Kolhapur Maharashtra India Professor Department of Electronics & Communication KLE Dr. M.S. Sheshgiri College of Engineering & Technology Belagavi Karnataka India Professor Symbiosis Institute of Technology Lavale Pune Research Scholar School of Computer Science and Engineering Lovely Professional University Punjab Professor School of Computer Science and Engineering Lovely Professional University Punjab

In the last decade, the vehicular ad-hoc network (VANET) field is growing drastically. In VANET the communication is the most important aspect through which the data transmission is taking place. Data transmission is maybe related to data in the form of multimedia messages, notifications, announcements, or some warning messages that are involved in VANETs. Data transmission among different vehicles would lead to an exchange of audio-video files in the formed network. These multimedia messages should be transmitted in the fraction of second as this network is built for temporary communication. Vehicles involved in this communication should be trustworthy otherwise other vehicles those who are part of this network would be misguided due to intruder present in the network. To achieve security and integrity in the constituted network, system has proposed the blockchain security environment as a part of this proposed system. Blockchain induces high-end communication in the ad-hoc network. It also enhances the overall security aspect of the constituted network. In this paper, we have proposed blockchain-based security system for vehicular communication that handles this communication securely in a well efficient manner. The performance of the proposed system will be measured based on parameters like end-to-end delay, reliability, and packet delivery ratio.

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Smart Villages: IoT Technology Based Transformation

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Journal of Physics: Conference Series 2021年第1期2070卷

作者： Pankaj Mudholkar Megha Mudholkar B S Puneeth Kumar V Dankan Gowda S. Srinivasulu Raju Assistant Professor Department of Master of Computer Applications. Thakur Institute of Management Studies Career Development and Research Mumbai Maharashtra (State) INDIA Assistant Professor Department of Computer Science. St. Joseph's College (Autonomous) Bangalore Karnataka (State) INDIA Assistant Professor Department of Electronics and Communication Engineering. B.M.S. Institute of Technology and Management Bangalore Karnataka (State) INDIA Department of Electronics and Instrumentation Engineering. Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada Andhra Pradesh(State) INDIA

In recent years, large-scale urbanisation has been on the rise with cities being the hubs for growth, but rural business continues to play an important role in any country's overall development. A recent report reveals that almost 69 percent of India's population resides in their villages, accounting for almost 50 percent of the nation's GDP. This agricultural region varies from small towns with less than 500 residents to small towns. There are also similar situations in western nations. Despite their economic contribution, smaller villages seem to earn fewer in terms of infrastructural expenditure. The major problems addressed in these small towns include shortage of adequate public transit, emergency care and limited knowledge on federal subsidies for rural areas. Our vision is to expand the Smart city to Smart village by allowing use of recent technical advances and giving more attention to the problems in rural areas. The approach in this chapter is to bring IoT technology to Villages by literally showing a network of linked sensors and knowledge dissemination devices, controlling energy use and ensuring infrastructure protection. It gives a wide-ranging vision of enhancing the standard of living in villages and encourages them to meet the essential needs of domestic villagers.

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Credit Card Forgery Identification By Location Using Android Based Monitoring

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IOP Conference Series: Materials Science and engineering 2020年第1期993卷

作者： V. M. Jemin P. Vasanthan Assistant Professor Department of Computer Science and Engineering RMK College of Engineering and Technology

In cellular network, the user's location is probably used as an authentication aspect similar to other elements like password, PIN range combined with the use of device that the person consisting of card or a mobile. An encrypted and decrypted key is generated using RSA. The generated values are send to user's cellular as SMS. The user's mobile region is identified by the place of use far flung customer authentication protocol and its integrity is proven by Galileo Navigation satellite known as Local element. We proposed an LRAP based method for secure transactions.

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Automatic Turning ON/OFF Bike Indicator Using Offline GPS Navigation System

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IOP Conference Series: Materials Science and engineering 2021年第1期1055卷

作者： S Usha M Karthik R Lalitha M. Jothibasu T Krishnamoorthy Associate Professor Department of Electrical and Electronics Engineering Kongu Engineering College Perundurai-638 060 Erode Professor Department of Computer Science and Engineering Rajalakshmi Institute of Technology Chennai Assistant Professor (Senior Grade) Department of Electronics and Communication Engineering PSG Institute of Technology and Applied Research Coimbatore UG Scholar Department of EEE Kongu Engineering College Perundurai-638060 Erode

In the present modern world, most of the people are using the roadways for transportation purposes. The utilization of roadways increases by one side, on the other side the road accidents are also escalating. The current assessment shows that the reasons for the road accidents are not obeying the traffic rules, inappropriate usage of indicators while turning right or left while driving the vehicles and so on. In peak hours and in traffic times people are speeding up with their vehicle and forgot to use their indicator. This leads to an accident while sudden turning and braking without a proper indication. In order to overcome these types of difficulties, an automatic turning on/off bike indicators using offline GPS navigation system is proposed. The proposed system works in an offline mode and does not need any internet connectivity. By turning on the supply to the board, it will generate the hotspot and it will be connected with Wi-Fi in Mobile Phone. Then the destination is fixed in the mobile application. When turning is available in the way to destination before 100 meters of that turning, indicator will be automatically turned on and after that indicator will be automatically turned off. Thus the proposed work would help the people during the rush hours and also during the emergency situations to avoid accidents.

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Review for Detecting Smoke and Fire in Forest using Different Technologies

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IOP Conference Series: Materials Science and engineering 2020年第1期993卷

作者： Dinesh Komarasamy M. Gokuldhev J Jenita Hermina M Gokulapriya M Manju Assistant Professor Department of Computer Science and Engineering Kongu Engineering College Perundurai Assistant Professor Department of Computer Science and Engineering AMRITA College of Engineering and Technology Nagercoil UG Scholar Department of Computer Science and Engineering Kongu Engineering College Perundurai

Nature has a huge role to maintain the stability in the environment. But, natural disasters damage the environment, affect the life cycle and decline the lifetime of living beings. Nature is destroyed by different disasters namely earthquake, fire, flood, landslide, air pollution and so on. Among these, forest fire is one of the foremost dangerous natural disasters which cause several serious issues like biodiversity loss, global warming, fuel wood loss and air pollution in the environment. Therefore, prediction of fire occurring in forest plays a crucial role to save lots of the environment. Thus, researchers focused on different technologies with different methodologies for predicting the fire that occurred in forest, as early as possible. Moreover, smoke is the focal point for fire, some of the researchers pay their attention on detecting the smoke of the forest using different technologies. Therefore, this paper gives a summary for effectively detecting the smoke and fire in forest.

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The Influence of Using Responsive Façade as a Tool for Improving the Built Environment: Case study: Attaba – Opera square

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IOP Conference Series: Earth and Environmental Science 2022年第1期992卷

作者： M F Eltanboly M M Afify Architecture Department Teaching Assistant Cairo Higher Institute for Engineering Computer Science and Management No.2 Banafseg Center2 first Settlement Cairo Postcode 11477 Egypt and PhD. Student Environmental Design and Energy Efficiency Department Cairo University Faculty of Engineering Giza Architecture department Professor in Environmental Design and Energy Efficiency Department Cairo University Faculty of Engineering Giza

The path we are currently following to improve the physics of construction due to the destruction of our environment through the negative impact of the built environment around us. Current efforts to decrease carbon and energy are noted by modifying and improving modern 'layered' envelopes and improving a misunderstanding of thermal comfort that has become much less effective than expected. Understanding construction physics is an important factor in improving the quality of life indoor and outdoor, relying primarily on theoretical and computational aspects, then applying the practical part to reduce excessive use of carbon and energy and hinder the elaboration of a sustainable and built environment. This paper shows how the problem stems from neglecting to think about the first principles and basic construction physics. Similarly, we show how combining good construction physics with reassessing old methodologies to construction and structure use provides some powerful and effective tools to address the climate emergency. The use of construction physics methods supports the search for new solutions to express the most important factors affecting thermal conduction and minimum surface temperatures. However, buildings have integrated concepts in which advanced systems work together to optimize energy, comfort, and health performance. Convergence between various engineering fields and the overlapping field of construction techniques and services has great potential in the future to achieve the next step in energy saving. As a result, the research highlights new methods that make our buildings interact with the external environment using climate data, responsive envelope design, simulation software, thereby achieving architectural response to surrounding variables, improving building physics to reduce environmental pollution, thermal comfort, and achieving the highest energy efficiency and performance in buildings. This is illustrated by the presentation of a case study

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