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检索条件"机构=Dept. Computer Technology and Computer Graphics"

共 25915 条记录，以下是4361-4370 订阅

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Mood -Enhancing Music Recommendation System based on Audio Signals and Emotions

Mood -Enhancing Music Recommendation System based on Audio S...

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International Conference on Inventive Computation Technologies (ICICT)

作者： V. Mounika G B V K UDAY Y. Charitha A. Pravin dept. Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India Dept.Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India

The identity of emotional speech is a significant topic within the discipline of interactions between humans and computers. Many strategies of figuring out emotions in human speech had been introduced and installed through diverse researchers. To identify noises in audio documents is the purpose of one of these versions. Together with gender recognition and YouTube video will be played depending on mood, this suggested computer also features speech emotion detection, which listens for sentiments like happiness, rage, and sadness in audio cues. This output is sent as input to YouTube, which plays song within the user's mind, resulting in the person's temper to stabilize fast. Using the CNN characteristic extraction approach, the function sizes vector become processed with NumPy, and the audio class became carried out in MFCC. This research study mainly uses two programs: RAVDESS and SAVEE. Using the acquired datasets, a new version of the look was produced in-dept.. The device area is the platform where the Google Colab is used to perform code execution.

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Simulating and Optimizing of Compact Modified Rectangular Shape Microstrip Antenna for UWB Applications 4

Simulating and Optimizing of Compact Modified Rectangular Sh...

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4th International Conference on Current Research in Engineering and Science Applications, ICCRESA 2022

作者： Abdulkareem, Jinan Jabbar Abdulkareem, Hanan Jabbar Yousif, Lujain Nazeeh Abbood, Zainab Ali Dept. Technical Engineering College Al-Farahidi Universityn Baghdad Iraq Dept. Medical Instrumentation Al-Esraa University College Baghdad Iraq Dept. Computer Technology Engineering Al-Esraa University College Baghdad Iraq

ISBN: (纸本)9798350334944

Ultra-wideband (UWB) is a communication technology introduced for short-range communication. This technology employs radio frequency waves to enable devices to interact with each other. In this paper, an altered rectangular microstrip antenna is introduced and designed for UWB applications. The microstrip line feed technique is applied to feed the simulated antenna to ensure the optimum impedance matching. The proposed antenna is simulated using the CST software's finite integration technique. The simulated antenna covers operating frequency bands in the range of 3.66 - 21.21 GHz with a return loss of less than -10dB in the operation band, and an antenna gain variates between 2.48 to 4.85dBi in the operation band. © 2022 IEEE.

关键词： Microstrip antennas

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Partial Discharge Localization Model in Power Transformer with Fingerprinting Technique 9

Partial Discharge Localization Model in Power Transformer wi...

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9th International Conference on Engineering, Applied Sciences, and technology, ICEAST 2023

作者： Chaisang, Aditep Tiengthong, Thanadol Maw, Myo Myint Promwong, Sathaporn Rambhai Barni Rajabhat University Faculty of Industrial Technology Chanthaburi22000 Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok10520 Thailand Mandalay Technological University Faculty of Engineering Dept. Computer Engineering and Information Technology Mandalay Myanmar

ISBN: (纸本)9798350322040

Partial discharge localization in power transformers is of utmost importance, requiring an effective evaluation method to identify the location of such events precisely. Antenna placement poses challenges within power transformers, as improper positioning can significantly affect localization precision. This paper introduces an evaluation of the fingerprinting method for ultra-high frequency partial discharge localization. The fingerprinting method, commonly employed in wireless localization systems, is utilized to assess the accuracy of partial discharge localization. The proposed method leverages fingerprinting analysis and received signal strength to evaluate partial discharge events in power transformers. Experimental partial discharge measurements are conducted on a power transformer model provided by Tesla Power Company. The results include the average received signal strength at each measurement position and the distance error of the partial discharge location determined using the fingerprinting method. This research contributes to assessing partial discharge in power transformers, offering valuable insights for enhancing their health and performance evaluation. © 2023 IEEE.

关键词： Partial discharges

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Analysis of Decentralized Pharmaceutical Supply Chain: A Systematic Review

Analysis of Decentralized Pharmaceutical Supply Chain: A Sys...

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Artificial Intelligence and Smart Communication (AISC), International Conference on

作者： Prakhar Patel Hitanshu Samantaray Rahul Mansharamani Deepali Vora Ankur Goyal Anurag Gupta Dept. of Computer Science Symbiosis Institute of Technology Symbiosis International Deemed University Pune India Dept. of Computer Science G.L. Bajaj Institute of Technology and Management Greater Noida India

Supply chain optimization has recently emerged as a key research area in process operations and management. There has been a great deal of research done on facility sites and layouts, inventory and distribution planning, capacity and production planning, and complex scheduling. This information only briefly and infrequently addresses issues unique to the pharmaceutical sector. Moreover, effective supply chain management is a problem in any industry, but there is added complexity and risk in healthcare due to the direct impact that a supply chain disruption might have on patient security and health outcomes. One solution for improving the security, authenticity, data provenance, and utility of the health supply chain is blockchain technology. Our goal is to present an overview of the potential problems connected with the adoption and use of blockchain in the medical supply chain, with a focus on the public health, medical device, and pharmaceutical supply sectors.

关键词： Drugs Systematics Supply chain management Scalability Supply chains Smart contracts Blockchains

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Leveraging ReRAM Sequence Graphs for Efficient Mapping of Binary Adders in ReRAM Crossbars

Leveraging ReRAM Sequence Graphs for Efficient Mapping of Bi...

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International Symposium on VLSI Design and Test (VDAT)

作者： Pragnya Dhal Arighna Deb Subrata Das Debesh Kumar Das School of Electronics Engineering Kalinga Institute of Industrial Technology Bhubaneswar India Dept. of Computer Science & Engineering Supreme Knowledge Foundation Group of Institutions Hooghly India Dept. of Computer Science & Engineering Jadavpur University Kolkata India

ISBN: (数字)9798350380101

ISBN: (纸本)9798350380118

Memristor, also known as Resistive Random Access Memory (ReRAM), enables in-memory computing by processing data directly within storage locations, thus mitigating the data transfer bottleneck between the processor and memory in high-speed applications. However, existing methods for implementing addition of two n-bit operands within ReRAM/memristor crossbar structures do not ensure minimal device utilization or minimal ReRAM/memristor read-write cycles. In this paper, we propose a novel approach for implementing n-bit addition in ReRAM crossbars to optimize the usage of the ReRAM device and minimize read-write cycles. We develop the ReRAM Sequence Graph (ReSG) to efficiently represent adder functionality and systematically allocate ReRAM devices to ReSG nodes. Furthermore, we present a scheduling mechanism for implementing ReSG nodes within ReRAM crossbars, accelerating the execution of the addition operation. Experimental evaluations show that our method surpasses current approaches, achieving better device utilization and reduced read-write cycles.

关键词： Schedules Resistive RAM Memristors Very large scale integration In-memory computing Data transfer Adders

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Ultra-Wideband Pattern Reconfigurable Antenna for Base station Applications

Ultra-Wideband Pattern Reconfigurable Antenna for Base stati...

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India Council International Subsections Conference (INDISCON), IEEE

作者： Shalini Bhickta Naveen Jaglan Amit Kumar Dept. of Electronics and Communication Engineering Jaypee University of Information Technology Waknaghat Solan India Dept. of Computer Science & Engineering and Information Technology Jaypee University of Information Technology Waknaghat Solan India

ISBN: (数字)9798350376753

ISBN: (纸本)9798350376760

The proposed work aims at 5G base station antenna communication applications. The Reconfigurable Antenna is built with an idea of parasitic loaded elements in antenna. The proposed design has a zig-zag S-shape structure with a driven Monopole antenna located along the central axis and a parasitic structure enfolding around the monopole. Reconfiguration is accomplished by adjusting the PIN diodes bias voltages. The 2.44-9.46 GHz frequency range i.e., the Ultra-Wide-Band frequency spectrum is used at which this reconfigurable antenna is designed to operate. This paper has three radiation pattern which are obtained by two PIN diodes. Beam-steering capability in the elevation plane is achieved i.e., θ (0°-180°). The outcome shows the design’s potential and its wide range concurrent applications for base station antennas.

关键词： Base stations PIN photodiodes 5G mobile communication Ultra wideband antennas Loaded antennas Antenna radiation patterns

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Ensemble Model for Prostate Cancer Detection Using MRI Images

Ensemble Model for Prostate Cancer Detection Using MRI Image...

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International Conference on Developments in eSystems Engineering (DESE)

作者： Omar Jawad Kadhim Ahmed Adil Nafea Salah A. S. Aliesawi Mohammed M Al-Ani dept. Computer Science Modern Uuniversity for Business & Science Beirut Lebanon dept. Artificail inteligence College of Computer Science and Information Technology University of Anbar Ramadi Iraq dept. Computer Science College of Computer Science and Information Technology University of Anbar Ramadi Iraq dept.Center for Artificial Intelligence Technology (CAIT) Faculty of Information Science and Technology Universiti Kebangsaan Malaysia (UKM) Bangi Selangor Malaysia

Prostate cancer is a prevalent form of malignancy impacting a substantial male population and ranks among the primary contributors to cancer-related fatalities globally. The utilization of magnetic resonance imaging (MRI) scans for prostate cancer detection has presented significant difficulties. This proposed, explores the use of machine learning algorithms for prostate cancer detection using MRI scans and addresses the challenge mentioned above. The proposed ensemble models employ a combination of Machine Learning (ML) Algorithms, including Support Vector Machine (SVM), AdaBoost, Decision Tree (DT), and Random Forest (RF) to improve accuracy detection. The results of our rigorous evaluation process revealed that the ensemble model achieved an outstanding accuracy rate of 96% in classifying prostate cancer into Significant and Non-Significant. By comparing our results to existing studies, we have demonstrated that the ensemble model-based method is on par with or even surpasses various techniques used in previous research efforts.

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A novel smart CBT model for detecting impersonators using machine learning technique 2

A novel smart CBT model for detecting impersonators using ma...

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2nd IEEE International Conference on Cyberspace, CYBER NIGERIA 2020

作者： John-Otumu, A.M. Nwokonkwo, O.C. Izu-Okpara, I.U. Dokun, O.O. Susan, Konyeha Oshoiribhor, E.O. Dept of Information Technology Federal University of Technology Owerri Nigeria Dept. of Computer Science University of Benin Benin city Nigeria Dept. of Computer Science Ambrose Alli University Ekpoma Nigeria

ISBN: (纸本)9781665444095

The computer-based testing (CBT) platforms for conducting mass-driven examinations over computer networks in order to eliminate certain challenges such as delay in marking, misplacement of scripts, impersonation, monitoring and so on associated with the conventional Pen and Paper Type (PPT) of examination has also been seriously bedeviled with the same issue of impersonation commonly associated with the PPT system. The existing CBT systems relies solely on the CCTV system for monitoring people passively and the human invigilators (Proctors) for going round the examination halls in order to physically confirm the students face against their pictures on their respective system dashboard which takes so many time and effort just to screen people against impersonating and yet impersonation is on the increase with CBT system. The proposed Smart CBT model integrates an intelligent agent assessor to the existing CBT model using K-Nearest Neighbor (KNN) machine learning technique for detecting a likely case of impersonation threat considering the considering the level of accuracy and response time in answering the questions the agent delivers to the students shortly before the actual examination can commence. A total of 3,083 dataset was gathered, and 80% (2,466) of the dataset was used for training the model, while 20% (617) dataset was used in testing the model to enable the model detect unseen data correctly. Results revealed that 99.99% accuracy rate, precision, recall and f-score were obtained. The propose Smart CBT model is recommended for all tertiary institutions and commercial CBT software product adoption. © 2021 IEEE.

关键词： Learning algorithms

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An Integrated MPI and OpenMP Approach for Plasma Dynamics Simulations

An Integrated MPI and OpenMP Approach for Plasma Dynamics Si...

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Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC), International Conference on

作者： Yellaboina Mani Prakash Girish K K Lalit Verma Shivam Kumar Biswajit Bhowmik Dept. of Computer Science and Engineering Maharshi Sushrut CAS Lab BRICS Laboratory National Institute of Technology Karnataka Mangalore Bharat Dept. of Computer Science and Engineering Ishwarchandra Vidyasagar AIT Lab BRICS Laboratory National Institute of Technology Karnataka Mangalore Bharat

ISBN: (数字)9798331517892

ISBN: (纸本)9798331517908

Plasma dynamics is the behavior exhibited by two or more charged species with respect to electric or magnetic fields. In high-performance computing (HPC) applications, it requires all these factors: the accuracy of parallel implementations, effective inter-process communication, and scalability with respect to workload. This paper points out the limitations in the current approaches to the plasma dynamics problems, and discusses the use of MPI continuation tasks and of its performance enhancement with OpenMP methods. Within the framework of the Vlasov-Poisson system, we develop theory of MPI continuation and describe techniques optimal for its use, which allows to efficiently combine communication with computation, which is quite a difficult task in most of the cases, especially in the case of multidimensional simulations. The results allow better insights on how to increase the level of parallelism and reduce the time to compute, which in turn fosters the formulation of more effective high-performance strategies and also the understanding of the parallelism in plasma simulations using the MPI standard.

关键词： Adaptation models Computational modeling Scalability High performance computing Parallel processing Mathematical models Plasmas Computational efficiency Standards Load modeling

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A Dynamic Study on Energy Forecasts and The Potential of Renewable Energy Sources

A Dynamic Study on Energy Forecasts and The Potential of Ren...

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2022 IEEE Delhi Section Conference, DELCON 2022

作者： Noman, S.M. Salehin, Imrus Hasan, Mohammad Mahedy Baki-Ul-Islam Haque, Obaidul Haque, Ifranul Daffodil International University Dept. of Electrical and Electronic Engineering Dhaka Bangladesh Daffodil International University Dept. of Computer Science and Engineering Dhaka Bangladesh Pabna University of Science and Technology Dept. of Electrical and Electronic Engineering Pabna Bangladesh

ISBN: (纸本)9781665458832

With developing countries, energy demand has been rapid over the years. Bangladesh contributes just 5% of the entire energy ratio in a proportion of renewable energy, and desire to 10% of the year 2025. Bangladesh is based on imported fossil fuel, which is quite expensive and uses natural gas for about 65% of energy production. Bangladesh is fortunate to have a small amount of fossil fuel, i.e., natural gas assets, but these are not adequate to meet the desired robust growth for glorious achievements in the government and non-government sectors. The sustainable power source is a key segment for improvement and has just made significant track in succeeding the greater part of the nation's power request;both in Urban and Rural territories. The motivation behind this study is to analyse energy forecasting for upcoming days and the potential of alternative renewable energy sources to assimilate a comparison in the general diagram of the power utilization of Bangladesh from a global perspective. Anticipating the future demand and looking at the competent outcomes of renewable energy may make urgency among the developing countries to satisfy the high future need for clean energy. In this article, we have focused our attention on the examination of sustainable power sources and the potential outcomes for future energy. © 2022 IEEE.

关键词： Forecasting

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