2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)最新文献_第7页

Circular Synthetic Aperture Radar for Near-field Terahertz Imaging 圆形合成孔径雷达用于近场太赫兹成像

2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Pub Date : 2022-11-26 DOI: 10.1109/IMPACT55510.2022.10029235

M. Gezimati, Ghanshyam Singh

{"title":"Circular Synthetic Aperture Radar for Near-field Terahertz Imaging","authors":"M. Gezimati, Ghanshyam Singh","doi":"10.1109/IMPACT55510.2022.10029235","DOIUrl":"https://doi.org/10.1109/IMPACT55510.2022.10029235","url":null,"abstract":"The potential of synthetic aperture radar (SAR) systems to yield high resolution images has led to its exploration in new applications. The conventional microwave radar imaging suffer limited range resolution in the sub-millimeter range and optical imaging methods are constrained by the diffraction limit. In the Terahertz (THz) spectrum, SAR systems are capable of operating in all weather, all time and penetrating through clouds, smoke, dust etc. to achieve better resolution images beyond the diffraction limit. In this paper, the different aspects of Multimedia computing are investigated in THz circular SAR as a new mode of radar imaging for near-field applications for example indoor environment. We have explored a new toolbox that enables the rapid development of near-field THz imaging SAR systems and generation of large near-field THz imaging scenarios that could be used for data driven applications. A circular SAR imaging system is presented for 2D (two-dimensional) imaging of targets in THz-SAR and the radar images are reconstructed using the Back Propagation and Polar Formatting Algorithms. The SAR performance evaluation metrics are reported and scope for future work is discussed.","PeriodicalId":300301,"journal":{"name":"2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123169598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Energy-Efficient Single Transistor Neuron for Reconfigurable Threshold Logic and Image Classification 用于可重构阈值逻辑和图像分类的高能效单晶体管神经元

2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Pub Date : 2022-11-26 DOI: 10.1109/IMPACT55510.2022.10029223

M. A. Khanday, F. Bashir, F. A. Khanday

引用次数: 0

Deep Learning for Dynamic Hand Gesture Recognition: Applications, Challenges and Future Scope 动态手势识别的深度学习:应用，挑战和未来范围

2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Pub Date : 2022-11-26 DOI: 10.1109/IMPACT55510.2022.10029100

Arpneek Kaur, Sandhya Bansal

引用次数: 1

An Efficient Approach For Pathogens Detection in Bacterial Pneumonia 一种有效的细菌性肺炎病原体检测方法

2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Pub Date : 2022-11-26 DOI: 10.1109/IMPACT55510.2022.10029041

Afeefa Rafeeque, Rashid Ali

{"title":"An Efficient Approach For Pathogens Detection in Bacterial Pneumonia","authors":"Afeefa Rafeeque, Rashid Ali","doi":"10.1109/IMPACT55510.2022.10029041","DOIUrl":"https://doi.org/10.1109/IMPACT55510.2022.10029041","url":null,"abstract":"Pathogens detection in Bacterial Pneumonia can be understood as a classification of types of Bacterial Pneumonia. The motive is to provide the pathogen-directed antibiotics at the right time through the automation of detecting the pathogens in Bacterial Pneumonia with Artificial Intelligence. This study has combined the pre-trained model with machine learning classifiers for binary classification. The pre-trained model VGG16 is fine-tuned and then the features are extracted from this model. For the classification purpose, three machine learning classifiers (SVM, Random Forest, and Bagging) are used to evaluate the performance of the model on two metrics Testing Accuracy and Validation Accuracy. To generalize the model we have also used one of the most widely used K-Fold cross-validation techniques. A comparison is also made between the existing methodology and ours on the same dataset used in this study. Our methodology performs better by achieving the highest testing accuracy of 90.8% with Bagging as a Classifier. VGG16 achieved the lowest testing accuracy of 82.63% whereas VGG16 with Support Vector Machine achieved 89.65% of testing accuracy and with Random Forest 88.77%.","PeriodicalId":300301,"journal":{"name":"2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116361814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gradient of optical gain with uni-axial and bi-axial pressure on GaAsSb/InAs/AlSb QW heterostructure GaAsSb/InAs/AlSb QW异质结构光增益随单轴和双轴压力的梯度

2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Pub Date : 2022-11-26 DOI: 10.1109/IMPACT55510.2022.10029215

Syed Firoz Haider, Sandhya Kattayat, Rakesh Sharma, Smitha Josey, P. A. Alvi

引用次数: 1

Optimal Quantum Circuit Decomposition of Reversible Gates on IBM quantum computer IBM量子计算机上可逆门的最优量子电路分解

2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Pub Date : 2022-11-26 DOI: 10.1109/IMPACT55510.2022.10029250

H. A. Bhat, F. A. Khanday, K. Shah

{"title":"Optimal Quantum Circuit Decomposition of Reversible Gates on IBM quantum computer","authors":"H. A. Bhat, F. A. Khanday, K. Shah","doi":"10.1109/IMPACT55510.2022.10029250","DOIUrl":"https://doi.org/10.1109/IMPACT55510.2022.10029250","url":null,"abstract":"Currently, computing paradigm is ruled by the laws of classical physics and will continue till the dimensions of transistors reaches the size of atomic particles. Quantum computing (QC) is a new technology that employs laws of quantum mechanics to address issues such as irreversibility and power dissipation that are outside the scope of conventional computing models. QC offers a powerful stage for solving complex and compound problems like searching and number factoring. A critical task in utilizing quantum physics in many application fields is circuit design using reversible quantum gates. Unitary decomposition is a popular scheme for mapping quantum algorithms to any set of elementary quantum operations. Using decomposition techniques enables transformation of unitary matrices into fundamental quantum gates, which is critical for running algorithms on prevailing quantum computers. Any 3x3 reversible quantum gate can be decomposed into single-qubit rotation gates and two qubit CNOT gates. This paper is the first to present quantum implementations of FRSG1 and JTF1 gates into CNOT gates and single qubit U3 gates with different optimization levels on a platform provided by IBM. These gates are important in a variety of practical applications like Stochastic computing and parity generation circuits. In FRSG1 the implementation count of single qubit gates decreases by 56% and the count of two qubit gates by 15% after optimization, whereas in JTF1 gate the single qubit gate count reduces by 71% and the number of two qubit gates reduces by 41%.","PeriodicalId":300301,"journal":{"name":"2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128259462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Fuzzy Optimization based Cricket Talent Acquisition and Ranking Quotient (C-TARQ) 基于模糊优化的板球人才获取与排名商

2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Pub Date : 2022-11-26 DOI: 10.1109/IMPACT55510.2022.10029020

N. Khan, Gulfam Ahamad, Mohd Naseem

{"title":"A Fuzzy Optimization based Cricket Talent Acquisition and Ranking Quotient (C-TARQ)","authors":"N. Khan, Gulfam Ahamad, Mohd Naseem","doi":"10.1109/IMPACT55510.2022.10029020","DOIUrl":"https://doi.org/10.1109/IMPACT55510.2022.10029020","url":null,"abstract":"Cricket talent identification is a methodical process that aims to find the young athletes possessing a potential to excel in the cricket sport. We propose a cricket talent identification model based on fuzzy optimization, employing the fuzzy analytical hierarchy process (F AHP) and particle swarm optimization (PSO). To the best of our knowledge, this is first such attempt to identify the talent in cricket using this methodology. In order to overcome the challenges like lack of quality coaches, poor infrastructure availability, identifying the crude talent from remote rural areas, poor communication linkage between sports academies, early talent pooling etc., we develop a web-based cricket talent identification system (cricket talent acquisition and ranking quotient: C-TARQ). We use the PHP web programming on the modern LARAVEL framework. The validation of model is provided on a primary dataset (n=56) collected from four different schools of the J…K UT, India. The webpage screenshots, results and class diagram of the system is provided. The model classifies the potential talented and non-talented enthusiasts correctly with an accuracy of 92.8%, precision of 96% and recall of 88%. We get a miss rate of 11% and F1 score of 92.3%.","PeriodicalId":300301,"journal":{"name":"2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)","volume":"2008 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125615078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Comparative Analysis of Dielectric Resonator based Linear Displacement Sensor with Various Microwave Feeding Techniques 基于介质谐振器的线性位移传感器与各种微波馈电技术的比较分析

2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Pub Date : 2022-11-26 DOI: 10.1109/IMPACT55510.2022.10029050

Premsai Regalla, A. V. Praveen Kumar

引用次数: 4

Molecular Nano Communication Networks: Architectures, Protocols and Technologies 分子纳米通信网络:架构、协议和技术

2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Pub Date : 2022-11-26 DOI: 10.1109/IMPACT55510.2022.10029283

A. Abbas

引用次数: 0

Online Fake News Detection using Pre-trained Embeddings 使用预训练嵌入的在线假新闻检测

2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Pub Date : 2022-11-26 DOI: 10.1109/IMPACT55510.2022.10029000

Junaid Ali Reshi, Rashida Ali

引用次数: 0