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检索条件"主题词=software algorithms"

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Reducing the Communication Overhead in Novel Data Sharing Algorithm in Cloud Data Storage Over Triple Data Encryption Standard Algorithm

Reducing the Communication Overhead in Novel Data Sharing Al...

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International Conference on Advances in Information Technology (ICAIT)

作者： Kanaparthi Kalyani S. John Justin Thangaraj Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India

ISBN: (数字)9798350383867

ISBN: (纸本)9798350383874

While storing data in the cloud using the Triple Data Encryption Standard Algorithm, we can cut down on communication overhead by using the Novel Data Sharing Algorithm. In order to test the algorithms, we import the data and then run Triple DES and Novel Data Sharing. There are two sets of algorithms, with 240 and 120 samples total. It is maintained that the G-power for Independent T-Test samples is 80%, the threshold is less than 0.05%, and the confidence interval is 95%. Result of the work is done by the IBM SPSS software. Research shows that the Novel Data Sharing Algorithm's communication overhead differs from the state-of-the-art by 83.5% to 81.5%. More exact than the value is the Triple DES Algorithm. The independent sample T-Test was employed to ascertain the mean, standard deviation, and standard error. Statistical significance between groups. The value of p, which is greater than 0.05, is 0.003. In terms of statistical significance, the two algorithms are identical. The results show that compared to the Data Encryption Standard, the Novel Data Sharing Algorithm performed better in this investigation.

关键词： Accuracy Triples (Data structure) software algorithms Memory software Encryption Classification algorithms

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A Digital DNA Sequencing Engine for Ransomware Detection Using Machine Learning

A Digital DNA Sequencing Engine for Ransomware Detection Usi...

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Innovations and Challenges in Emerging Technologies (ICICET), International Conference on

作者： M. Ramya S S Avinash Kumar V Haresh St.Joseph’s Institute Of Technology Chennai Department of CSE(UG) St.Joseph’s Institute Of Technology Chennai

ISBN: (数字)9798350319019

ISBN: (纸本)9798350319026

The emerging development of machine learning models and artificial intelligence frameworks in recent days enrich the optimization of computing process involved in system developments. The DNA computing is the process of effective computing of relativity components, dynamic responses extracted from various existing computing systems. It acts as a metaphor for exploring solutions through genetic behavior of data involved in the computing process. Conventional method of steganography is limited to versatile operation. In the proposed approach smith waterman algorithm is utilized to formulate the secure storage and processing of cloud data. Due to various external software involved in computing operations, the malicious activity in the cloud is increased. The proposed approach considers the hierarchal based attribute model for encryption. The proposed model considers smith waterman algorithm (SWA) for efficient optimization of DNA data. Apar from various challenges, the proposed system is developed with effective user accessible cloud platform for lightweight health care systems.

关键词： Steganography Computational modeling Heuristic algorithms software algorithms DNA Medical services Machine learning

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Estimate and Predict the Foreign Currency Exchanging Rates by Using Adaptive Neuro Fuzzy Inference System and Deep Learning algorithms

Estimate and Predict the Foreign Currency Exchanging Rates b...

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Information Communication and software Engineering (ICICSE), IEEE International Conference on

作者： Ying Bai Dali Wang Dept. of Computer Science & Mathematics Johnson C. Smith University Charlotte USA Dept. of Physics & Computer Science Christopher Newport University Newport News USA

ISBN: (数字)9798350351699

ISBN: (纸本)9798350351705

To correctly and accurately predict and estimate the exchanging rates among various currencies to get the maximum profit is a challenging task, and it is critical important to all financial institutions under the current fluctuation situation. In this study, we try to use different AI methods and algorithms, such as Adaptive Neuro Fuzzy Inference System (ANFIS) and Deep Learning (DL), to easily and correctly predict and estimate the current currency exchanging rate. Combining with some appropriate pre-data-processing techniques, the current currency exchanging rates could be accurately and quickly estimated via those models. In this research, both algorithms are designed and built to help decision makers working in the financial institutions to easily and conveniently predict the current exchanging rates. The minimum training and checking RMSE values for ANFIS model can be 0.0009828 and 0.001713. The minimum MSE value for DL model is 0.0000047 with a regression value of 0.9958.

关键词： Fuzzy logic Deep learning Training Adaptation models Adaptive systems software algorithms Prediction algorithms

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Intelligent Wardrobe Management System: An AI Driven Approach for Automated Outfit Selection and Wardrobe Organization

Intelligent Wardrobe Management System: An AI Driven Approac...

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International Conference on Communication, Computing and Internet of Things (IC3IoT)

作者： V Vignesh S Arulsiddharthan S Karthik N Ramya Department of CSE Sri Sairam Engineering College Chennai India

ISBN: (数字)9798350352689

ISBN: (纸本)9798350352696

In the current era of digitalization, a lot of work is being done to digitize numerous parts of our lives. Still, there are the old-fashioned, labor-intensive manual methods for sorting garments that need a significant amount of time and effort. It still takes a lot of effort and time to find clothes. To reduce this challenge, we propose an automated approach made possible by a user-friendly smartphone application. Our intelligent wardrobe model tracks the precise location of every article of clothes in the wardrobe using image processing algorithms. Additionally, the smartphone software keeps hack of items that have recently been worn, laundered, and ironed, as well as clothes that are in the laundry. Furthermore, the app uses artificial intelligence (Al) to offer personalized outfit recommendations based on different weather scenarios and events. This all-encompassing approach aims to enhance and accelerate consumers’ daily experience with clothing management.

关键词： Training Databases Computational modeling Clothing software algorithms User interfaces software

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Computer Vision Approach for Traffic Sign Recognition Using Raspberry Pi

Computer Vision Approach for Traffic Sign Recognition Using ...

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International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)

作者： R. Azhagumurugan Hariharan A Logeshraaj A Sathish G R Electrical and Electronics Engineering Sri Sairam Engineering College Chennai India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508852

The Optical Character Recognition system translates scanned images of printed or handwritten text into audio output, using a Raspberry Pi, hence lies in the broader field of computer vision and a subfield of Artificial Intelligence. OCR systems for many global languages are already being used successfully. A Gaussian-based background subtraction technique is used to separate object regions. The system performs recognition and text localization in order to acquire text information. A combination of text localization techniques and the Tesseract algorithm, which utilizes edge pixel distribution, stroke orientation, and gradient feature learning in an AdaBoost model, enables automatic localization of text regions within an object. Once the localized text characters are binarized , they can be identified by common OCR software, particularly Tesseract. For visually impaired users, the text that has been identified is subsequently translated to speech. Noted is the effectiveness of the suggested text localization algorithm. After the recognition process is over on the Raspberry Pi, character codes from text files are further processed using Python programming and a Tesseract algorithm to give audio output.

关键词： Location awareness Representation learning Computer vision Subtraction techniques Text recognition Optical character recognition software algorithms Programming Control systems Python

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Classification of Various Stage of Diabetic Retinopathy Using Yolov7 Deep Neural Network

Classification of Various Stage of Diabetic Retinopathy Usin...

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International Conference on Computing and Networking Technology (ICCNT)

作者： M.Mary Vespa Berakhah F. Stanley Department of computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Diabetic Retinopathy (DR) is a prevalent retinal vascular condition that can lead to significant visual impairment. The early classification of DR and precise grading of DR are essential for maintaining eyesight and providing prompt treatment, which is known as DR classification. The images go through a preprocessing stage to reduce noise from the dataset that was obtained. Initially, the input image is initiated by a preprocessing technique. This process is handled by the spatial processing technique called the Wiener Filter, which lowers image noise and raises the visibility of hazy images. The following step sends the image to the areas for segmentation. Fuzzy C-means (FCM) segmentation is used to accurately determine the size and shape of the disease. The proposed research uses the Deep Neural Network based YOLOV7 (DNN-YOLOV7) classifier. All five stages of diabetic retinopathy (DR) can be identified with this method: no DR, mild, moderate, severe, and proliferative DR (PDR). This research provides a high degree of sensitivity and precision in identifying whether a picture has diabetic retinopathy or not. The work involved is implemented with MATLAB simulation software.

关键词： Image segmentation Diabetic retinopathy Wiener filters Shape Noise Visual impairment software algorithms Artificial neural networks software Diseases

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Exploring the medication pattern of traditional Chinese medicine for asthma based on data mining technology

Exploring the medication pattern of traditional Chinese medi...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Kaikai Jia Qi Xiong Qifeng Lou Yuan Su Xintong Wei Yuanjun Zou College of Medical Information Changchun University of Chinese Medicine ChangChun China

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Purpose: Analyzing the medication pattern of Chinese medicine for asthma based on data mining technology. Method: We searched the relevant prescriptions for the treatment of asthma included in the Cloud Platform of Ancient and Modern Medical Cases since its establishment, screened the literature according to the inclusion and exclusion criteria, and used Microsoft Excel 2010 to carry out the frequency statistics of single medicines and drug combinations, and the Apriori algorithm of IBM SPSS Modeler 18.0 statistical software to analyze the association rules and compounding patterns of Chinese medicines. The high frequency Chinese medicines were analyzed by using IBM SPSS Statistics 26.0 for cluster analysis. Results: A total of 418 prescriptions were included, involving 395 flavors of traditional Chinese medicine (TCM), with a cumulative frequency of 5425 times, among which the top 20 drugs in terms of frequency of use had a cumulative frequency of 2280 times, and those with a frequency of use of ⩾ 115 times were, from highest to lowest, as follows: Licorice (274), Ephedra (200), Almond (179), Banxia (176), Skullcap (117), Tuckahoe (116). The four qi were dominated by warm (35.03%) and cold (34.01%); the five flavors were dominated by pleasant (30.77%) and bitter (29.60%); and the attributed meridians were dominated by the lung meridian (21.43%) and the liver meridian (18.44%).The association analysis yielded six sets of core pairs, of which those with ⩾ 15% support and ⩾ 80% confidence were (Licorice - Almond + Ephedra), (Ephedra - Assarium), (Licorice - Tangerine peel), (Licorice - White peony), ( Licorice - Cinnamon branches), (Ephedra - Assarium + Licorice). Conclusion: The prescription of Chinese medicine for bronchial asthma is based on resolving phlegm and calming asthma, warming the lungs and resolving drinks, clearing the lungs and relieving cough, tonifying the lungs and the spleen, restoring wind and relieving spasm, and dispelling blood stasis and cleari

关键词： Drugs Spleen Time-frequency analysis Lungs software algorithms Liver software Spreadsheet programs High frequency Asthma

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Design of High-Performance Six Axis Industrial Robot Controller

Design of High-Performance Six Axis Industrial Robot Control...

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Robotics & Intelligent Manufacturing Technology (ISRIMT), International Symposium on

作者： Feicai Zhao Shanghai JARI Zhaoxin Information Science & Technology Co. LTD. Lianyungang Jiangsu China

ISBN: (数字)9798331528942

ISBN: (纸本)9798331528959

The controller is the core component of industrial robots, equivalent to the robot's “brain”. In response to the weak software foundation of industrial robot controllers in China, which makes it difficult to meet the high-end application needs of robots, research on the architecture of industrial robot controllers has been carried out. The design work of teaching pendant software and hardware, EtherCAT bus communication software, and motion control software has been completed. The designed six-axis industrial robot controller has basic functions such as main programming instruction support, safety control, digital and analog 1O expansion, external axis, and multiple bus expansion capabilities, which can meet the high-end application requirements of industrial robots in terms of functionality, performance, and scalability.

关键词： software design Service robots Trajectory planning Scalability Education software algorithms Industrial robots software Safety Motion control

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Quantum Quest: Resource Requirement of RC4 Cryptanalysis under Grover’s Lens

Quantum Quest: Resource Requirement of RC4 Cryptanalysis und...

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IEEE Calcutta Conference (CALCON)

作者： Sarbani Sen Soumen Bajpayee Imon Mukherjee Goutam Paul Bhupendra Singh Computer Science & Engineering Indian Institute of Information Technology Kalyani India Cryptology & Security Research Unit Indian Statistical Institute Kolkata India Centre for Artificial Intelligence and Robotics DRDO Bengaluru India

ISBN: (数字)9798331516666

ISBN: (纸本)9798331516673

The RC4 cipher is a widely used software stream cipher which has long stood as a cornerstone in cryptographic applications due to its design simplicity, speed and efficiency. In this paper, we present an approach to decrypt RC4-encrypted data by leveraging Grover’s quantum search algorithm. To the best of our knowledge, this is the first documented attempt to employ Grover’s algorithm in breaking RC4 encryption. We enumerate the quantum resources required to perform exhaustive key search attack on RC4. Our approach demonstrates the potential of quantum computing to revolutionize cryptanalysis.

关键词： Ciphers Costs Quantum computing software algorithms NIST software Encryption Optimization Faces Lenses

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Design-Implementation Discrepancy Analysis for Mobile Application Interfaces Using Object Detection Methods

Design-Implementation Discrepancy Analysis for Mobile Applic...

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Information and Education Technology (ICIET), International Conference on

作者： Yen-Tse Hsueh Hsi-Min Chen Tzu-Yuan Chen Department of Information Engineering and Computer Science Feng Chia University Taichung City Taiwan

ISBN: (数字)9798350371772

ISBN: (纸本)9798350371789

With the rising number of mobile users, the demand for seamless application experiences intensifies, underscoring the importance of Graphical User Interface (GUI) design. Engineers strive to create user-friendly interfaces during the design phase, meticulously planning component layouts. In the implementation phase, translating this design into a functional interface is critical. The manual comparison of the implemented interface with the design, especially during manpower shortages, adds significant workload. To address this, we propose an automated comparison process. Design and implementation images are inputted, employing advanced image processing to identify objects. A similarity formula quantifies the resemblance, and the Hungarian algorithm efficiently matches components. Results are displayed visually, streamlining verification and enhancing mobile application development efficiency. Moreover, this automated process has educational significance in software engineering. It serves as a pedagogical tool, aiding students in understanding the alignment between system design and implementation, fostering a comprehensive grasp of the software development lifecycle.

关键词： software algorithms Object detection Streaming media Mobile communication software Planning Object recognition

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