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Real Time Face Recognition using Effective Supervised Machine Learning Algorithms 3

Real Time Face Recognition using Effective Supervised Machin...

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3rd International Conference on Smart and Intelligent Learning for Information Optimization, CONSILIO 2021

作者： Nagaraj, P. Banala, Rajesh Krishna Prasad, A.V. Sreyas Institute of Engineering and Technology India TKR College of Engineering and Technology India MVSR Engineering College India

In security authentication systems, face recognition has become an emerging new trend. Modern FR processes can detect whether the individual is real (live) or not through face recognition, thus preventing the systems from being compromised by displaying an actual person's image. These new systems of face recognition are the result of recent advances in the field of computer vision and efficient algorithms for machine learning. This thesis describes in depth how the identification of a real time face can be order to create a safety alert framework for the workplace, the machine learning algorithm Haarcascade classifier was used to build four distinct classes for identification of security equipment and eventually identify the faces in both images and video using python open CV. Initially, face detection technique is performed to scan the face identity marks through. © Published under licence by IOP Publishing Ltd.

关键词： Face recognition

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A security enhancement for the two way clustering algorithm for image mining 3

A security enhancement for the two way clustering algorithm ...

引用

3rd International Conference on Smart and Intelligent Learning for Information Optimization, CONSILIO 2021

作者： Jaya Ram, M. Vyaya Bhaskara Reddy, V. Department of Computer Science and Engineering Sreyas Institute of Engineering and Technology Nagole India

Image mining is one of the mining technique which is used for the mining of the image from the huge databases. The Image mining is used in the various sectors for the prospective use of the mining techniques. The increase in the data theft become one of the biggest challenge for the image repositories. This paper proposes the security architecture for the image repositories which is used for the image mining. The salient featured algorithm called as Imago-Sec Algorithm is proposed and used for the efficient providing of the security to the image repositories which is used for the image mining. The relative mining technique is used for the mining of the data from the image database. The Proposed algorithm is a homomorphic token algorithm which uses a single key contribution for both the encryption and decryption of the data in the image databases. The experimental results thus follow which provides that efficiency and throughput of the security that is being implemented. © Published under licence by IOP Publishing Ltd.

关键词： Clustering algorithms

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Determination of LDR in deep drawing using reduced number of blanks

Determination of LDR in deep drawing using reduced number of...

引用

2016 International Conference on Advances in Materials and Manufacturing, ICAMM 2016

作者： Sekhara Reddy, A.C. Rajesham, S. Dept. of Mechanical Engineering Sreyas Institute of Engineering and Technology Hyderabad India

Indeed, deep drawing is one of the important sheet metal forming process, widely used in production of cup shaped articles having applications in different engineering and domestic fields such as aerospace, automobile, beverage, kitchenware etc. It is essential to determine the quality characteristics of the process for minimization of rejections as well as cost involved in it. LDR is one such quality characteristic essential to evaluate thoroughly with reduced number of steps in deep drawing. Here, the LDR is determined by means of experimental and simulation method by using the concept of " punch force is proportional to blank diameter up to limiting drawing ratio" and remains constant over the LDR for all oversized blanks resulting in failure. In this research paper, an attempt has been made to establish a standard and quick method for "determination of LDR". The LDR tests have been conducted with the use of only three blanks of different sizes;i.e., two of undersize and one blank of oversize. The LDR found through experiments and simulation are in good agreement with only 5.4% variation and this variation may be due to variation in lubrication conditions among the experimental and simulation methods. © 2018 Elsevier Ltd.

关键词： Deep drawing

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Study and analysis of modified mean shift method and kalman filter for moving object detection and tracking 3rd

Study and analysis of modified mean shift method and kalman ...

引用

3rd International Conference on Computational Intelligence and Informatics, ICCII 2018

作者： Pallavi, S. Laxmi, K. Ramya Ramya, N. Raja, Rohit Department of CSE Sreyas Institute of Engineering and Technology Nagole Hyderabad India

ISBN: (纸本)9789811514791

In the scenario of Vehicle Tracking is the process of locating a moving object or multiple entities over time using a camera. It can be a time-consuming process due to the amount of data that is contained in video. Capture objects in video sequence of surveillance camera is nowadays a demanding application to improve tracking performance. The advanced technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects change over time. Thus, in this review, we discussed the several techniques attempted to site the available technique and various merits and demerits of it. In the present work we are detecting the moving object done by using simple background subtraction. For tracking of single moving object has been done using modified mean shift method and Kalman filter. Further result of both algorithms is compared on basis on time and accuracy. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Kalman filters

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A Novel Approach for Excavating Communication Using Taxonomy and Outline Mechanisms 6

A Novel Approach for Excavating Communication Using Taxonomy...

引用

6th International Conference on Image Information Processing, ICIIP 2021

作者： Srinivas, A V Reddy, S Sai Satyanarayana Sreyas Institute of Engineering and Technology Nagole Department of CSE Hyderabad India

ISBN: (纸本)9781665433617

Social Network is a standout amongst the most prominent intuitive medium to share, impart and disperse data. Informal organization is the stage to manufacture social relations among individuals. Clients can stay in contact with companions by trading distinctive kinds of data or messages. Now and again individuals send mail which causes a difficult issue similar to irritating or extorting to clients. The mail substance might exist inconsiderate. The terminology like hostile, detest, disgusting and so on are accessible in the mail. Those mails are recognizing as spam utilizing data sifting. Information filtering can be done by using synopsis and Machine learning substance gathering methodologies. Neural substance classifier is used for representing summary of delivered messages and associated request. In light of content rendering, we have to check the sent messages are spam or not spam. © 2021 IEEE.

关键词： Support vector machines

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A Hybrid Approach of Wavelet Transform Using Lifting Scheme and Discrete Wavelet Transform Technique for Image Processing

A Hybrid Approach of Wavelet Transform Using Lifting Scheme ...

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作者： Ramya laxmi, K. Pallavi, S. Ramya, N. Department of CSE Sreyas Institute of Engineering and Technology Hyderabad Nagole India

Now a modern time many area such as company, medical, research and file require large number of image for general-purpose application to solve the complex problem. Image contain more information that require more storage space and transmission bandwidths, so the image compression is required to store only important information and reduce the different types of redundancy of image for storing and transmission in an efficient manner, because uncompressed image required more data storage capacity and transmission time. In the present work the storing space used is very less ecuase it help in reducing the processing time. For image compression, different transform technique is used. Image can be represented as a matrix of pixel values and after compression by applying different method there is no change or little change between pixel values. This present work is uses haar method and Lifting Wavelet Transform for image compression for increase the efficiency of Discrete Wavelet Transform (DWT). © 2020, Springer Nature Switzerland AG.

关键词： Discrete wavelet transforms

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An Effective Neural Machine Translation for English to Hindi Language

An Effective Neural Machine Translation for English to Hindi...

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2020 International Conference on Smart Electronics and Communication, ICOSEC 2020

作者： Gogineni, Saikiran Suryanarayana, G. Surendran, Sravan Kumar Cse Cmr College of Engineering Technology Hyderabad India Sreyas Institute of Engineering Technology Cse India

ISBN: (纸本)9781728154619

Machine translation involves the conversion of text from one language to the other language. In the world of web, a huge number of resources are made available in English. Many of the people are not familiar with this global language. Manually transmuting them into native languages such as Hindi (Indian National language) is a tedious task. In such scenarios, automatic machine translation is an efficient approach. In our work, 8 advanced architectures have been experimented and contrasted their efficiencies. Six different Indian languages such as Hindi, Bengali, Gujarati, Malayalam, Tamil and Telugu is worked on. How BLEU varies with the usage of Word embedding technique have been clearly shown. Encoder to decoder networks are found fine for short sentences. But if the length of the sentence exceeds 20, then attention architecture is suitable. The 4 Layer Bi-directional LSTM is a great choice in these networks to achieve higher BLEU is also observed. In our work, CFILT, UFAL, ILCC datasets have been considered and achieved a BLEU score of 21.97.. © 2020 IEEE.

关键词： Long short-term memory

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Design of Mango-Shaped Slot Patch with Haferman Carpet DGS for Wireless Applications 12

Design of Mango-Shaped Slot Patch with Haferman Carpet DGS f...

引用

12th International Conference on Computer Communication and Informatics, ICCCI 2022

作者： Ponnapalli, V. Aditya Sankar Ram, P. Sai Reddy, G. Harini Kumar, M. Arun Sravya, Kotra Praveena, A. Sreyas Institute of Engineering and Technology Department of Electronics and Communication Engineering Hyderabad68 India

ISBN: (纸本)9781665480352

This paper proposed a mango shaped slot microstrip patch (MSPA) with a Haferman carpet defected ground surface for advanced wireless communications and related applications. The presented structure is also observed and analyzed with different materials of substrate to understand the execution of the proposed mango shaped slot MSPA. It is a combination of both naturally inspired and deterministic geometrical structures. This antenna excited by a wave port microstrip feed and resonates at 2.4 GHz with enhanced radiation parameters. © 2022 IEEE.

关键词： Fruits

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Intrusion detection system for the iot: A comprehensive review 11th

Intrusion detection system for the iot: A comprehensive revi...

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11th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2019, and 11th World Congress on Nature and Biologically Inspired Computing, NaBIC 2019

作者： Meera, Akhil Jabbar Kantipudi, M. V. V. Prasad Aluvalu, Rajanikanth Vardhaman College of Engineering Hyderabad India Sreyas Institute of Engineering & Technology Hyderabad India

ISBN: (纸本)9783030493448

The IoT has recently been widely used in smart homes and smart cities design. With various services and application domains. (IoT) connects objects with internet to make our life easier, which leads IoT environments vulnerable to different kinds of attacks. Threats to IoT are increasing due to large number of devices with different standards are connected. Intrusion Detection System (IDS) is used to protect from various types of attacks. Intrusion detection system (IDS) works in the network layer of an IoT system. This paper highlights the issues related IoT security, discusses literature on implementation of IDS for IoT using ML algorithms and also makes few suggestions. An IDS designed for IoT should operate under stringent conditions. More IDS have to be designed to detect major attacks to safe guard IoT. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Network security

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Design and implementation of non-cooperative frequency detection for cognitive radio application

Design and implementation of non-cooperative frequency detec...

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2020 International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020

作者： Preethi, Gunda Sai Gouthami, K. Vajrala, Vennela Praveena, A. Sireesha, P. Sreyas Institute of Engineering and Technology Dept. of Electronics and Communication Engineering Hyderabad Telangana India

ISBN: (纸本)9781728172132

Cognitive Radio (CR) is an intelligent radio that enables the Dynamic Spectrum Access (DSA) against scarcity of available spectrum and inefficient usage of it, by sensing the idle license bands and to use these bands to transmit the data. Two main types of communication technologies used by the Primary User (PU) to be detected by Cognitive Radios are Fixed Frequency (FF) and Frequency Hopping Spread Spectrum (FHSS). In this paper, the design for automatic signal detection i.e. Spectrum Sensing of FF, FH frequencies and classification of FH signal is presented by using the energy detection method. The FH classification is with 25kHz Resolution Bandwidth for 20MHz FH bandwidth. Hardware design is realized in Xilinx System Generator and achieved results for various FF, FH frequencies. © 2020 IEEE.

关键词： Cognitive radio

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