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3rd International Conference for Innovation in technology, INOCON 2024

作者： Bhandarkar, Abhay Mushtaq Ahmed, D.M. Vishwachetan, D. Mushtaq, Arfaat Kadam, Dhrithi Saxena, Salaj Ramaiah Institute of Technology Dept. of Computer Science and Engg Bangalore54 India Ramaiah Institute of Technology Dept. of Information Science and Engg Bangalore54 India

ISBN: (纸本)9798350381931

In an era of explosive data growth, accurate text analysis tools are paramount. The surge of AI-generated texts presents a pressing challenge: discerning human-written content from AI-generated content. This affects text analysis accuracy, necessitating innovative solutions. We introduce an AI-driven model within the Model-View-Controller (MVC) architecture, categorising text as AI-generated or human-authored. Leveraging supervised learning, the model uses Count Vectorizers and Multinomial Naive Bayes algorithm for training and classification. The proposed model shows a good accuracy of 86.2%. This, with enhanced precision and F1 scores, underscores efficacy in classifying text origins. Beyond its immediate contributions, our model promises to reshape content authenticity verification, from AI-generated social media posts to verifying news sources. The model offers future directions, advancing AI-generated content detection. As AI-generated content evolves, our approach ensures credibility and reliability in text analysis within the MVC framework, addressing the critical need to navigate the AI-generated content landscape. © 2024 IEEE.

关键词： Reliability analysis

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Connective Reconstruction-Based Novelty Detection 31

Connective Reconstruction-Based Novelty Detection

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31st International Conference on Electrical engineering, ICEE 2023

作者： Hashemi, Seyyed Morteza Aliniya, Parvaneh Razzaghi, Parvin Institute for Advanced Studies in Basic Sciences Dept. Computer Science and Information Technology Zanjan Iran University of Nevada Dept. Computer Science RenoNV United States

ISBN: (纸本)9798350312560

Detection of out-of-distribution samples is one of the critical tasks for real-world applications of computer vision. The advancement of deep learning has enabled us to analyze real-world data which contain unexplained samples, accentuating the need to detect out-of-distribution instances more than before. GAN-based approaches have been widely used to address this problem due to their ability to perform distribution fitting;however, they are accompanied by training instability and mode collapse. We propose a simple yet efficient reconstruction-based method that avoids adding complexities to compensate for the limitations of GAN models while outperforming them. Unlike previous reconstruction-based works that only utilize reconstruction error or generated samples, our proposed method simultaneously incorporates both of them in the detection task. Our model, which we call 'Connective Novelty Detection' has two subnetworks, an autoencoder, and a binary classifier. The autoencoder learns the representation of the positive class by reconstructing them. Then, the model creates negative and connected positive examples using real and generated samples. Negative instances are generated by manipulating the real data, so their distribution is close to the positive class to achieve a more accurate boundary for the classifier. To boost the robustness of the detection of reconstruction error, connected positive samples are created by combining the real and generated samples. Finally, the binary classifier is trained using connected positive and negative examples. We demonstrate a considerable improvement in novelty detection over state-of-the-art methods on MNIST and Caltech-256 datasets. © 2023 IEEE.

关键词： computer vision

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Smart Shopping Cart Using Radio Frequency Identification

Smart Shopping Cart Using Radio Frequency Identification

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2024 IEEE International Students' Conference on Electrical, Electronics and computer Science, SCEECS 2024

作者： Kesava, Gudipati Rishi Reddy, Vanukuri Karthik Trivikram, Sadineni Santhi Sri, K. Vignan's Foundation for Science Technology & Research Deemed to Be University Dept. Information Technology & Computer Applications Guntur India

ISBN: (纸本)9798350348460

The "Smart Shopping Cart Using Radio Frequency Identification"project revolutionizes the shopping experience through RFID technology, offering real-time cost updates to shoppers. This innovative system incorporates RFID readers, a microcontroller for instant cost computations, and an LCD screen for displaying the total expense. By tackling common issues associated with traditional shopping carts, like prolonged checkout procedures and the absence of live cost monitoring, our project significantly enhances the efficiency and convenience of shopping. Shoppers can now enjoy a seamless experience as the RFID technology effortlessly scans tagged products, allowing the microcontroller to promptly calculate the overall cost, which is then displayed on the LCD screen. This breakthrough not only streamlines the shopping process but also eliminates the need for manual price entries, reducing errors and enhancing overall customer satisfaction. The successful integration of these technologies marks a promising step towards the future of retail, where smart shopping carts pave the way for quicker, more accurate, and enjoyable shopping ventures. © 2024 IEEE.

关键词： Efficiency and Convenience Radio Frequency Identification (RFID) Real-time Cost Updates RFID technology Integration Seamless Shopping Experience Smart Shopping Cart

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Independent component analysis of quaternion Gaussian vectors

Independent component analysis of quaternion Gaussian vector...

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IEEE Sensor Array and Multichannel Signal Processing Workshop

作者： Via, Javier Vielva, Luis Santamaria, Ignacio Palomar, Daniel P. Dept. of Communications Engineering University of Cantabria Spain Dept. of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong

ISBN: (纸本)9781424489770

This paper addresses the independent component analysis (ICA) of quaternion Gaussian vectors. Firstly, we define the properness profile of a quaternion random variable, which can be seen as the quaternion analogue of the circularity coefficients of complex vectors. The properness profile is a three-dimensional pure quaternion vector, which does not only measure the improperness degree of the quaternion random variable, but also provides the improperness distribution. Secondly, we prove that the quaternion ICA model can be identified up to the trivial scale and permutation ambiguities, and a residual quaternion mixture among the sources with rotationally equivalent properness profiles, i.e., properness profiles related by a quaternion rotation. Finally, the main results of the paper are illustrated by means of some numerical examples. © 2010 IEEE.

关键词： Random variables

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Analysis and Power Comparison of SRAM, DRAM, and STT-MRAM for Advance technology

Analysis and Power Comparison of SRAM, DRAM, and STT-MRAM fo...

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2022 IEEE Conference on Interdisciplinary Approaches in technology and Management for Social Innovation, IATMSI 2022

作者： Krishna Reddy, Sathi Vamsi Paripally, Aravind Jyothinadh, Vijjigiri Babu, Payarda Santosh Majumder, Manoj Kumar International Institute of Information Technology Dept. of Electronics and Communication Engineering Naya Raipur India

ISBN: (纸本)9781665477192

The tunability of Magnetic Tunnel Junction(MTJ) stack features based on the STT-MRAM may suit a wide range of product standards for microcontrollers and also the. Artificial intelligence inferencing devices, as well as SRAM-type applications such as frame buffer memory. However, each application faces unique hurdles in terms of reliability. STT-MRAM can be utilized to store code and data instead of external flash memory. STT-MRAM has a low cost and a small footprint. The SRAM cell is best when it comes to power consumption and also it uses less power than the traditional 6T SRAM cell. MRAM stands for magnetoresistive random-access memory, which stores the data as stable magnetic states of magnetoresistive devices and reads data by measuring the devices' resistance to determine their magnetic states and the write ability of 6T SRAM is increased approximately by 34 percent as compared to the standard 6T SRAM using transient analysis and simulation and lastly, the read, write, leakage power and latency are calculated © 2022 IEEE.

关键词： MRAM devices

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Stability condition of FAST TCP in high speed network on the basis of control theory

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Journal of Systems engineering and Electronics 2008年第4期19卷 843-850页

作者： Zhao Fuzhe Zhou Jianzhong Luo Zhimeng Xiao Yang Digital Engineering Research and Simulation Center Huazhong Univ. of Science and Technology Wuhan 430074 P. R. China Dept. of Computer Science Univ. of Alabama USA

Considering the instability of data transferred existing in high speed network, a new method is proposed for improving the stability using control theory. Under this method, the mathematical model of such a network is established. Stability condition is derived from the mathematical model. Several simulation experiments are performed. The results show that the method can increase the stability of data transferred in terms of the congestion window, queue size, and sending rate of the source.

关键词： control theory congestion control stability condition FAST TCP

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Computational Overhead Analysis for Mitigation of Content Poisoning Attack in NDN-based IoT Body Area Networks 3

Computational Overhead Analysis for Mitigation of Content Po...

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3rd International Conference on Evolutionary Computing and Mobile Sustainable Networks, ICECMSN 2023

作者： Priya, M. Castro, S. Kumar, Sathesh K. Kalaivani, N. Dept. of Computer Science and Engineering E. G. S. Pillay Engineering College Nagapattinam611002 India Dept. of Information Technology Karpagam College of Engineering Coimbatore641032 India Dept. of Electronics and Communication Engineering Vivekanandha College of Engineering for Women Tiruchengode637205 India Dept. of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Coimbatore641041 India

The Body Sensors Network has developed into a significant element of the Medical IoT. Massive data gathering from a resource-constrained network represents a laborious procedure in IoT equipped BSN/WBAN, creating a number of difficult problems. Conventional communication protocols may be used on IoT platforms without any alterations and provide impractical techniques for large-scale networks. The new architecture known as ICN has the potential to overcome these difficulties in huge data collection. According to this perspective, the proposed work indicates a CPA mitigation strategy for information centric WBANs. © 2023 Elsevier B.V.. All rights reserved.

关键词： Internet of things

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Tool of scheduling simulation based on AADL models

Tool of scheduling simulation based on AADL models

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World Congress on Software engineering

作者： Yun, Li Fulei, Guo Dept. of Computer Science and Engineering University of Electronic Science and Technology Cheng Du China School of Information Science and Technology SouthWest JiaoTong University Cheng Du China

ISBN: (纸本)9780769543031

With the wide application of safety critical embedded systems in various fields, some modern software engineering technology must be developed to increase the security of embedded system to insure the safety of people. Based on the Model-Driven Architecture method, this paper deeply research the semantics of AADL (Architecture Analysis and Design Language) models, and design a tool named UCaS, which is integrated in OSATE (Open Source AADL Tool Environment), and can acquire information from AADL code for the schedulability analysis. Finally, this paper shows the efficiency of the UCaS and point out the direction of future work. © 2010 IEEE.

关键词： Open systems

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Power domination problem in graphs

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11th Annual International Conference on Computing and Combinatorics, COCOON 2005

作者： Liao, Chung-Shou Lee, Der-Tsai Dept. of Computer Science and Information Engineering National Taiwan University Taipei Taiwan

ISBN: (纸本)9783540280613

To monitor an electric power system by placing as few phase measurement units (PMUs) as possible is closely related to the famous vertex cover problem and domination problem in graph theory. A set S is a power dominating set (PDS) of a graph G = (V,E), if every vertex and every edge in the system is observed following the observation rules of power system monitoring. The minimum cardinality of a PDS of a graph G is the power domination number γp(G). We show that the problem of finding the power domination number for split graphs, a subclass of chordal graphs, is NP-complete. In addition, we present a linear time algorithm for finding γp(G) of an interval graph G, if the interval ordering of the graph is provided, and show that the algorithm with O(n log n) time complexity, is asymptotically optimal, if the interval ordering is not given, where n is the number of intervals. We also show that the same results hold for the class of proper circular-arc graphs. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Graph theory

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Performance of MIMO with circular antenna array using correlation matrix

Performance of MIMO with circular antenna array using correl...

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1st IEEE International Conference on Wireless Broadband and Ultra Wideband Communications, AusWireless 2006

作者： Dong, LiJun Huang, MengWei Zhou, Jie Kikuchi, Hisakazu Dept. of Information and Communication Nanjing University of Information Science and Technology Nanjing China Dept. of Electrical and Electronic Engineering Niigata University 950-2181 Japan

ISBN: (纸本)0977520005

Spatial correlation is one of the impairments practical Multiple-Input Multiple-Output (MIMO) wireless communication systems have to be coped with. Capacity increases promised by MIMO systems mostly depend on the spatial correlation properties of the radio channels. This paper investigates the connection between these properties and the channel capacity. By investigating the channel capacity using the correlation matrix for a circular array, we prove that, for circular array, decrease in the radius is equivalent to decrease in signal to noise ratio (SNR).

关键词： Channel capacity

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