Showing 1-25 of 300 resultsfor "Index Terms":Impressive Performance
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Although impressive achievement has been made in the field of lip localization, there is no clear picture showing that which algorithms or methods have technical advantages over others. It is partly due to the fact that the commonly agreed evaluation methodology has not been established yet in the field. The common practice is using manual lip labelling as the ground truth for evaluation marked by...Show More
The Basics of Metal Thermal Interface Materials (TIMs)
2020 Pan Pacific Microelectronics Symposium (Pan Pacific)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Modern electronics require an extremely large number of circuits to perform their many impressive feats. For example, a modern smartphone can have several billion logic circuits in the main microprocessor. This circuit density creates a significant amount of heat that must be dissipated. If the heat is not adequately dissipated, the life expectancy and performance of the circuits are significantly...Show More
Liquid crystal polymer (LCP): A promising technology for conformal high performance microwave/millimeter-wave circuits and packaging
2012 4th International High Speed Intelligent Communication Forum
Year: 2012 | Conference Paper |
Cited by: Papers (2)
The liquid crystal polymer (LCP) is a fairly new and promising thermoplastic organic material which has impressive electrical and mechanical characteristics such as low dielectric loss, stable dielectric constant across a frequency range from DC to 110 GHz, low water absorption and low thermal expansion coefficient. It can be used as a low-cost technology for high-volume large-area processing and ...Show More
A Circular Slotted Wide Band Antenna for Sub 6 GHz Wireless Applications
2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
This paper introduces a circular slotted antenna tailored for 5G applications, resonating within the 4.4 to 7.25 GHz frequency band. Fabricated on a 1.6 mm FR4 substrate with a dielectric constant of 4.4 and a tangential loss of 0.02, the antenna boasts dimensions of 22 mm x 15 mm. Performance analysis reveals gains of up to 4 dBi and remarkable efficiency levels of up to 85% across the operationa...Show More
The most recent GreenTeam race car, the E0711-7, has been designed and built to set a new level of high performance race cars made by GreenTeam. This paper investigates the E0711-7's high performance powertrain design process, powertrain structure and the unique oil-cooled battery pack. Experimental results from test bench measurements and race data have been reported to illustrate the powertrain ...Show More
Improved Intrusion Detection System using Machine Learning Techniques
2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS)
Year: 2024 | Conference Paper |
The continuous demand for robust Intrusion Detection Systems (IDS) remains a constant in the ever-changing field of cybersecurity. This study aims to leverage the data obtained from Wireshark in order to build a sophisticated IDS. To achieve this goal, a specialized tool is utilized to generate network traffic and create a new dataset. By employing Machine Learning (ML) algorithms such as K-Neares...Show More
Path Metric Inherited SCL Decoding of Multilevel Polar-Coded Systems
2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Polar code-based techniques cooperating with the multilevel coding (MLC) structure are promising for short-packet communication scenarios. In this paper, we concern about how to properly implement the successive cancellation list (SCL) decoding in multilevel polar-coded systems. We show that when SCL decoding bridges adjacent component polar codes, the path metrics should be properly inherited suc...Show More
Chaotic SFS-GTO Optimizer Algorithm for Flowshop Scheduling Problems
2023 IEEE Industrial Electronics and Applications Conference (IEACon)
Year: 2023 | Conference Paper |
The implementation of a video game-inspired meta-heuristic algorithm in solving flowshop scheduling problems (FSP) is presented in this study. Impressive features from the previous well-known optimizer algorithms such as stochastic fractal search (SFS), artificial gorilla troops optimizer (GTO) and marine predators algorithm (MPA) are assembled with the additional of chaotic operators. Then, the p...Show More
Typewriting performance affected by music impression in working environment
The SICE Annual Conference 2013
Year: 2013 | Conference Paper |
We investigated impressions of music that improves typewriting work performance. Typical impressions of music were selected by impression evaluation experiment, and music used in this study was rated with the impression. We carried out typewriting experiment with music hearing. Some biosignals were also measured to monitor participant's condition. As a result, “cheerful” of positive impression and...Show More
Agricultural Advancement: Leveraging EfficientNetB4 for Enhanced Paddy Disease Classification
2024 IEEE Students Conference on Engineering and Systems (SCES)
Year: 2024 | Conference Paper |
In agricultural settings, the threat of paddy diseases looms large, precipitating considerable yield losses and economic hardships for farmers. Timely and precise disease detection is crucial for implementing effective control measures. This study seeks to tackle this challenge by leveraging convolutional neural networks (CNNs) to devise an automated framework for paddy disease classification. Wit...Show More
Outage Probability of Zero Forcing Precoded Scheduling System for Multiple Input Multiple Output Broadcast Transmission
IEEE Communications Letters
Cited by: Papers (2)
In this paper, we investigate an error performance issue of a multiple-input multiple-output (MIMO) broadcast system with zero-forcing (ZF) precoder. We propose a ZF-precoded scheduling system for MIMO broadcast transmission which selects a user set with the maximum effective signal to noise ratio (SNR) through feedback information. The tight closed-form expression of the proposed scheduling syste...Show More
Issues, Architectures and Techniques in Real-Time Vision
Proceedings of the Third Annual Conference of AI, Simulation, and Planning in High Autonomy Systems 'Integrating Perception, Planning and Action'.
Year: 1992 | Conference Paper |
Cited by: Papers (2)
First Page of the Article
Show MoreMachine Learning Approaches for Blood Pressure Classification from Photoplethysmogram: A Comparative Analysis
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2024 | Conference Paper |
The cuffless estimation of blood pressure (BP) has become a prominent area of research in recent years fueled by its potential clinical implications and the growing interest from the wearable device industry. It has been accelerated by the emergence of learning-based models. Most use multiple pulse signals such as ECG, PPG, etc. rely on pulse transit time estimates and related features for estimat...Show More
I-1 performance comparison of MOSLSI built using bulk and SOS technology
First Page of the Article
Show MoreToward Efficient CNN Compression via Coordinate Descent Structure Search
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)
Year: 2021 | Conference Paper |
Despite the impressive performance, convolution neural networks (CNNs) are often pilloried for challenging deployment on edge devices due to huge computation burden and power consumption. As an effective tool to compress CNNs, filter pruning has attracted ever-increasing attention in recent years. However, most methods suffer from complex manual design, huge overhead of structure search and unstab...Show More
Comparative Analysis of FCN and U-Net for Retinal Blood Vessels Segmentation: A Performance Evaluation
2024 International Russian Automation Conference (RusAutoCon)
Year: 2024 | Conference Paper |
Accurate retinal blood vessels segmentation is essential for early detection and diagnosis of several diseases. This study presents a comparative analysis between U-Net and FCN for retinal blood vessel segmentation. The aim is to assess their performance across four key metrics: sensitivity, accuracy, precision, and specificity, alongside training time. The analysis revealed differences in perform...Show More
Early Intervention in Cardiology Using SVM for Heart Failure Detection
Jatin Sharma;Kanwarpartap Singh Gill;Deepak Upadhyay;Swati Devliyal
2024 First International Conference on Electronics, Communication and Signal Processing (ICECSP)
Year: 2024 | Conference Paper |
This study's predictive modelling is based on the support vector machine (SVM) technique, which is well-suited to dealing with large amounts of complicated health data. Considering how hectic life is for the majority of us now, it's hard to believe that more people back then had truly weak hearts. When cardiac function declines to an abnormal level, the condition is known as heart failure. When it...Show More
Deep Learning-Based Stroke Recognition System for Table Tennis Players
Bonala Mahesh;Pappathi. T;K. Mahash;K. Vishnuvardhan Reddy;N. Balaji Naik;L. Marina
2024 First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC)
Year: 2024 | Conference Paper |
In table tennis, stroke recognition is a significant factor that contributes to the enhancement of a player's ability to analyse their performance and tailor their training program. Given the dynamic nature of table tennis, it is essential to be able to make snap decisions and execute strokes with precision. Algorithms for stroke recognition that rely on manual annotation or established criteria a...Show More
Impact of space-time block codes on 802.11 network throughput
By employing more than one antenna at the transmitter and by properly coding data across the transmit antennas, physical layers (PHYs) with space-time block codes (STBCs) promise increased data rates with minimal decoding complexity at the receiver. This paper presents a comprehensive study of how the STBC gains at the PHY translate to significant network performance improvement in 802.11a wireles...Show More
Is overfeat useful for image-based surface defect classification tasks?
2016 IEEE International Conference on Image Processing (ICIP)
Year: 2016 | Conference Paper |
Cited by: Papers (32)
One of the challenges for real-world image-based surface defect classification task is the lack of labeled training samples to extract useful features to confidently classify defects. In this paper, we present results on our investigation on whether features derived from OverFeat, a variant of Convolution Neural Network, can be used directly for image-based surface defect classification task. We s...Show More
The interconnect bottleneck in multi-GHz processors; new opportunities for hybrid electrical/optical solutions
Proceedings. Fifth International Conference on Massively Parallel Processing (Cat. No.98EX182)
Year: 1998 | Conference Paper |
Cited by: Papers (6)
The semiconductor industry appears to be confident that, even without any major breakthroughs in photolithography, it will be able to achieve device feature sizes in the order of 100 nm by the year 2006. This reduction in feature size implies significantly higher device switching speeds and faster circuits. More specifically, microprocessors with 3 GHz on-chip clock frequency are within reach by t...Show More
Accurate gunshot detection in urban environments using blind deconvolution
2017 International Multi-topic Conference (INMIC)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
Acoustic gunshot detection systems when deployed in urban environments need to account for reverberations in the acoustic channels. In order to improve the detection performance in such environments, we investigate the potential deployment of a two-stage methodology comprising of a blind system identification and deconvolution (BSID) stage followed by a support vector machine (SVM)-based classific...Show More
All-Optical Tunable Wavelength Conversion With Extinction Ratio Enhancement Using Periodically Poled Lithium Niobate Waveguides
Journal of Lightwave Technology
Cited by: Papers (12)
We propose and theoretically demonstrate the extinction ratio (ER) enhanced all-optical tunable wavelength conversion based on cascaded second-harmonic generation and difference-frequency generation (cSHG/DFG) in a periodically poled lithium niobate (PPLN) waveguide by setting the signal at the quasi-phase matching (QPM) wavelength. The conversion performance including extinction ratio enhancement...Show More
Large-Scale Multi-User Distributed Antenna System for 5G Wireless Communications
Dongming Wang;Zhenling Zhao;Yuqi Huang;Hao Wei;Xiangyang Wang;Xiaohu You
2015 IEEE 81st Vehicular Technology Conference (VTC Spring)
Year: 2015 | Conference Paper |
Cited by: Papers (20)
In this paper, we study the large-scale multi-user distributed antenna system (DAS) for hot-spot coverage in the future 5G wireless network. Firstly, the multi- user system model of large- scale DAS is introduced and a simple random pilot reuse scheme is presented to reduce the overhead of pilot. Then, the sum-rate of system is derived, and its asymptotical performance is studied when the number o...Show More
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