2019 IEEE International Conference on Telecommunications and Photonics (ICTP)最新文献_第2页

LDPC Coded OFDM OW Communication System with Coherent Optical Receiver and RF Synchronous Demodulation under Turbulent Condition 湍流条件下具有相干光接收机和射频同步解调的LDPC编码OFDM OW通信系统

2019 IEEE International Conference on Telecommunications and Photonics (ICTP) Pub Date : 2019-12-01 DOI: 10.1109/ICTP48844.2019.9041818

B. Barua, S. Majumder

引用次数: 0

Fetal Arrhythmia Detection Using Fetal ECG Signal 胎儿心电信号检测胎儿心律失常

2019 IEEE International Conference on Telecommunications and Photonics (ICTP) Pub Date : 2019-12-01 DOI: 10.1109/ICTP48844.2019.9041789

M. S. R. Pavel, Md. Rafi Islam, Asif Mohammed Siddiqee

引用次数: 11

Highly Sensitive Surface Plasmon Resonance Based Photonic Crystal Fiber Refractive Index Sensor 基于表面等离子体共振的高灵敏度光子晶体光纤折射率传感器

2019 IEEE International Conference on Telecommunications and Photonics (ICTP) Pub Date : 2019-12-01 DOI: 10.1109/ICTP48844.2019.9041810

Md. Sadman Sakib, Md. Yousufali, Dilruba Bilkish

引用次数: 0

Comparative Study on Perovskite Solar Cells Using Inorganic Transport Layers 无机传输层钙钛矿太阳能电池的对比研究

2019 IEEE International Conference on Telecommunications and Photonics (ICTP) Pub Date : 2019-12-01 DOI: 10.1109/ICTP48844.2019.9041784

I. Kabir, S. A. Mahmood

引用次数: 3

Low Loss Topas Based Single Mode Photonic Crystal Fiber for THz Wave Propagation 基于低损耗Topas的太赫兹波传输单模光子晶体光纤

2019 IEEE International Conference on Telecommunications and Photonics (ICTP) Pub Date : 2019-12-01 DOI: 10.1109/ICTP48844.2019.9041723

Mohammad S. Islam, Md. Anwar Sadath, M. Faisal

引用次数: 1

Absorption Enhancement of GaAs Slab with Geometrically Varying Periodic Array of SiO2 Nanostructures 几何变化周期阵SiO2纳米结构对GaAs板吸收的增强作用

2019 IEEE International Conference on Telecommunications and Photonics (ICTP) Pub Date : 2019-12-01 DOI: 10.1109/ICTP48844.2019.9041828

M. M. Hassan, M. H. Murad, Tama Fouzder, Sameia Zaman, Md. Zunaid Baten

{"title":"Absorption Enhancement of GaAs Slab with Geometrically Varying Periodic Array of SiO2 Nanostructures","authors":"M. M. Hassan, M. H. Murad, Tama Fouzder, Sameia Zaman, Md. Zunaid Baten","doi":"10.1109/ICTP48844.2019.9041828","DOIUrl":"https://doi.org/10.1109/ICTP48844.2019.9041828","url":null,"abstract":"In this work we present a systematic study on absorption enhancement in thin-film GaAs slabs having two-dimensional periodic arrays of SiO2 nanostructures. Nanostructures in the form of circle, square and triangles having dimensions ranging from 50 nm to 120 nm are considered to be periodically embedded into GaAs slabs having thicknesses ranging from 100 nm to 500 nm. Finite difference time domain based analysis of these structures, which essentially constitute two-dimensional photonic crystals, show that the peak absorption characteristics of the enhanced absorption profile are in fact intricately related to the curvature of the nanostructure. Increased optical path length with increasing curvature results in the highest absorption in circular arrays, whereas about 20% lower peak absorption is obtained in thin-films having triangular arrays. A quantitative estimate of curvature is presented in this work, which appears to be in direct correlation with the peak absorptions obtained for different nanostructures. Also for small curvatures of the nanostructures, their size variation appears to have less of an effect on the overall absorption profile. Moreover, absorption characteristics of the thin film appear to be less dependent on its thickness if the curvature of the nanostructures is decreased. For all geometrical shapes however, increasing film thickness results in an increase of the bandwidth of the absorption profile. It is envisaged that the results presented here will serve as guidelines for photon-management employing easily realizable photonic structures in high-efficiency thin-film solar cells.","PeriodicalId":127575,"journal":{"name":"2019 IEEE International Conference on Telecommunications and Photonics (ICTP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124324785","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

Four-mode filter for mode division multiplexing optical communication systems 用于模分复用光通信系统的四模滤波器

2019 IEEE International Conference on Telecommunications and Photonics (ICTP) Pub Date : 2019-12-01 DOI: 10.1109/ICTP48844.2019.9041832

Md Mazed Rayhan Shuvo, Sazin Mohammad Aftab Ullah, Mohammed Istiaque Reja, K. Ahmmed

引用次数: 0

Highly Sensitive Plasmonic Biosensor on Photonic Crystal Fiber 光子晶体光纤高灵敏度等离子体生物传感器

2019 IEEE International Conference on Telecommunications and Photonics (ICTP) Pub Date : 2019-12-01 DOI: 10.1109/ICTP48844.2019.9041694

Iffat Mahmud, Kamrun Nahar Shushama, Abdul Khaleque, A. Paul, S. Hossain, M. Hossain

引用次数: 0

Hollow-core Photonic Crystal Fiber Sensor for Refractive Index Sensing 用于折射率传感的空心光子晶体光纤传感器

2019 IEEE International Conference on Telecommunications and Photonics (ICTP) Pub Date : 2019-12-01 DOI: 10.1109/ICTP48844.2019.9041790

Shihab Ahmed, J. R. Mou, Md. Aslam Mollah, Niloy Debnath

引用次数: 4

Network Intrusion Detection System Using Voting Ensemble Machine Learning 基于投票集成机器学习的网络入侵检测系统

2019 IEEE International Conference on Telecommunications and Photonics (ICTP) Pub Date : 2019-12-01 DOI: 10.1109/ICTP48844.2019.9041736

Md. Raihan-Al-Masud, H. Mustafa

{"title":"Network Intrusion Detection System Using Voting Ensemble Machine Learning","authors":"Md. Raihan-Al-Masud, H. Mustafa","doi":"10.1109/ICTP48844.2019.9041736","DOIUrl":"https://doi.org/10.1109/ICTP48844.2019.9041736","url":null,"abstract":"Due to increasing amount of cyber attack, there is a growing demand for Network intrusion detection systems (NIDSs) which are necessary for defending from potential attacks. Detecting and preventing cyber attacks is one of the key research areas. Existing NIDSs use traditional machine learning algorithms with low accuracy and are also not suitable for the new unknown cyber attacks. In this paper, we propose a NIDS model with ensemble machine learning methods. Ensemble machine learning methods have the potential to detect and prevent different types of attacks compared to traditional machine learning methods. Our proposed system can detect known attacks as well as can prevent unknown attacks. Our proposed system uses ensemble machine learning methods with Voting. We used the full NSL-KDD dataset to evaluate the performance of multiclass classification and we also compare the performance with deep learning as well as traditional base level machine learning techniques. Experimental results show that the proposed NIDS system is superior to the performance of existing methods. Our model improves the detection rate of the IDS which is vital for network intrusion detection systems.","PeriodicalId":127575,"journal":{"name":"2019 IEEE International Conference on Telecommunications and Photonics (ICTP)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122954784","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: 6