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A Comparative Study of Various Edge Detection Techniques for Underwater Images 各种水下图像边缘检测技术的比较研究
Journal of Telecommunictions and Information Technology Pub Date : 2022-03-31 DOI: 10.26636/jtit.2022.155921
E. A. Awalludin, T. N. T. Arsad, W. Yussof, Z. Bachok, M. S. Hitam
{"title":"A Comparative Study of Various Edge Detection Techniques for Underwater Images","authors":"E. A. Awalludin, T. N. T. Arsad, W. Yussof, Z. Bachok, M. S. Hitam","doi":"10.26636/jtit.2022.155921","DOIUrl":"https://doi.org/10.26636/jtit.2022.155921","url":null,"abstract":"|Nowadays, underwater image identi(cid:12)cation is a challenging task for many researchers focusing on various applications, such as tracking (cid:12)sh species, monitoring coral reef species, and counting marine species. Because underwater images frequently su(cid:11)er from distortion and light attenuation, pre-processing steps are required in order to enhance their quality. In this paper, we used multiple edge detection techniques to determine the edges of the underwater images. The pictures were pre-processed with the use of speci(cid:12)c techniques, such as enhancement processing, Wiener (cid:12)ltering, median (cid:12)l-tering and thresholding. Coral reef pictures were used as a dataset of underwater images to test the e(cid:14)ciency of each edge detection method used in the experiment. All coral reef image datasets were captured using an underwater GoPro camera. The performance of each edge detection technique was evaluated using mean square error (MSE) and peak signal to noise ratio (PSNR). The lowest MSE value and the highest PSNR value represent the best quality of underwater images. The re-sults of the experiment showed that the Canny edge detection technique outperformed other approaches used in the course of the project.","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121919318","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
Detection of Monocrystalline Silicon Wafer Defects Using Deep Transfer Learning 基于深度迁移学习的单晶硅片缺陷检测
Journal of Telecommunictions and Information Technology Pub Date : 2022-03-31 DOI: 10.26636/jtit.2022.156321
Adriana Ganum, D. A. Iskandar, Lim Phei Chin, A. H. Fauzi
{"title":"Detection of Monocrystalline Silicon Wafer Defects Using Deep Transfer Learning","authors":"Adriana Ganum, D. A. Iskandar, Lim Phei Chin, A. H. Fauzi","doi":"10.26636/jtit.2022.156321","DOIUrl":"https://doi.org/10.26636/jtit.2022.156321","url":null,"abstract":"","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127356916","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
Accurate Location of Fiber Cable Fault with OTDR 利用OTDR技术实现光纤故障的准确定位
Journal of Telecommunictions and Information Technology Pub Date : 2021-12-30 DOI: 10.26636/jtit.2021.158621
K. Borzycki, P. Gajewski
{"title":"Accurate Location of Fiber Cable Fault with OTDR","authors":"K. Borzycki, P. Gajewski","doi":"10.26636/jtit.2021.158621","DOIUrl":"https://doi.org/10.26636/jtit.2021.158621","url":null,"abstract":"The paper reviews the factors limiting the accuracy of locating a fiber optic cable fault when using an optical time domain reflectometer (OTDR) and describes an error estimation method for typical use cases. The primary source of errors lies in the complex relationship between the length of the optical fiber (measured by OTDR), its routing, cable design depending on cable design and type of installation (i.e. duct, directly buried, aerial) as well as the spare lengths used for service purposes. The techniques which considerably improve the accuracy of the fault localization processes are presented, the importance of accurate documentation of the network and of referencing the fault location to the nearest splice instead of end of the line are discussed, as is the absence of cable helix factor in data sheets. Keywords—fault location, fiber optic cable, helix factor, OTDR, single-mode fiber.","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124130900","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
Performance Evaluation of MC-CDMA Systems with Single User Detection Technique using Kernel and Linear Adaptive Method 基于核和线性自适应的单用户检测MC-CDMA系统性能评价
Journal of Telecommunictions and Information Technology Pub Date : 2021-12-30 DOI: 10.26636/jtit.2021.151621
Rachid Fateh, A. Darif, S. Safi
{"title":"Performance Evaluation of MC-CDMA Systems with Single User Detection Technique using Kernel and Linear Adaptive Method","authors":"Rachid Fateh, A. Darif, S. Safi","doi":"10.26636/jtit.2021.151621","DOIUrl":"https://doi.org/10.26636/jtit.2021.151621","url":null,"abstract":"Among all the techniques combining multi-carrier modulation and spread spectrum, the multi-carrier code division multiple access (MC-CDMA) system is by far the most widely studied. In this paper, we present the performance of the MC-CDMA system associated with key single-user detection techniques. We are interested in problems related to identification and equalization of mobile radio channels, using the kernel method in Hilbert space with a reproducing kernel, and a linear adaptive algorithm, for MC-CDMA systems. In this context, we tested the efficiency of these algorithms, considering practical frequency selective fading channels, called broadband radio access network (BRAN), standardized for MC-CDMA systems. As far as the equalization problem encountered after channel identification is concerned, we use the orthogonality restoration combination (ORC) and the minimum mean square error (MMSE) equalizer techniques to correct the distortion of the channel. Simulation results demonstrate that the kernel algorithm is efficient for practical channels. Keywords—BRAN channels, equalization, kernel method, MCCDMA, reproducing kernel Hilbert space.","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128544794","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: 3
Impact of Structures on the Operation of Air Traffic Radiolocation and Radionavigation Surveillance Systems 建筑物对空中交通无线电定位及无线电导航监察系统运作的影响
Journal of Telecommunictions and Information Technology Pub Date : 2021-12-30 DOI: 10.26636/jtit.2021.155221
Maciej J. Grzybkowski, Daniel Niewiadomski, Marcin Mora
{"title":"Impact of Structures on the Operation of Air Traffic Radiolocation and Radionavigation Surveillance Systems","authors":"Maciej J. Grzybkowski, Daniel Niewiadomski, Marcin Mora","doi":"10.26636/jtit.2021.155221","DOIUrl":"https://doi.org/10.26636/jtit.2021.155221","url":null,"abstract":"The article describes interference affecting the operation of radiolocation and radionavigation devices used in the air traffic surveillance systems, caused by the proximity of building structures. The impact of a hypothetical structure on the operation of primary and secondary air traffic surveillance radars and DVOR/DME beacons was simulated. The results of this simulation are presented in the form of airspace sectors in which false identification of aircraft may occur, and where it will not be possible to identify aircraft or use beacons due to the certain portion of airspace being in the shadow created by the structure. Analysis of the possibility of the PSR radar receiver being blocked by a strong signal reflected from a nearby building was performed as well. Keywords—air traffic safety, environment obstacles, ground radiolocalization systems.","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"14 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134293043","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
Has the Internet Saved the Economy? Modeling Impact of ICT Sector and COVID-19 on GDP 互联网拯救了经济吗?ICT行业和COVID-19对GDP的影响建模
Journal of Telecommunictions and Information Technology Pub Date : 2021-12-30 DOI: 10.26636/jtit.2021.157821
Magdalena Olender-Skorek, Michał Szałański, Marek Sylwestrzak
{"title":"Has the Internet Saved the Economy? Modeling Impact of ICT Sector and COVID-19 on GDP","authors":"Magdalena Olender-Skorek, Michał Szałański, Marek Sylwestrzak","doi":"10.26636/jtit.2021.157821","DOIUrl":"https://doi.org/10.26636/jtit.2021.157821","url":null,"abstract":"This paper presents the influence of the COVID19 pandemic on gross domestic product (GDP) per capita for the 27 countries of the European Union. A panel model with fixed effects was applied to a dataset from 2010 to 2020. The analysis covered 13 independent variables, including nine related to the telecommunications market, and assessed their impact on GDP per capita. A variable related to the number of COVID-19 deaths per one thousand inhabitants was then added to the model. The results showed that COVID-19 is a significant factor and is negatively correlated with GDP per capita. The analysis described in the article has also shown that the importance of the ICT sector increased during the pandemic, i.e. the household broadband Internet variable became statistically significant. Keywords—COVID-19, European Union, GDP, ICT sector.","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116621484","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
Phonetic Segmentation using a Wavelet-based Speech Cepstral Features and Sparse Representation Classifier 基于小波的语音倒谱特征和稀疏表示分类器的语音分割
Journal of Telecommunictions and Information Technology Pub Date : 2021-12-30 DOI: 10.26636/jtit.2021.153321
Ihsan Al-Hassani, O. Al-Dakkak, Abdlnaser Assami
{"title":"Phonetic Segmentation using a Wavelet-based Speech Cepstral Features and Sparse Representation Classifier","authors":"Ihsan Al-Hassani, O. Al-Dakkak, Abdlnaser Assami","doi":"10.26636/jtit.2021.153321","DOIUrl":"https://doi.org/10.26636/jtit.2021.153321","url":null,"abstract":"Speech segmentation is the process of dividing speech signal into distinct acoustic blocks that could be words, syllables or phonemes. Phonetic segmentation is about finding the exact boundaries for the different phonemes that composes a specific speech signal. This problem is crucial for many applications, i.e. automatic speech recognition (ASR). In this paper we propose a new model-based text independent phonetic segmentation method based on wavelet packet speech parametrization features and using the sparse representation classifier (SRC). Experiments were performed on two datasets, the first is an English one derived from TIMIT corpus, while the second is an Arabic one derived from the Arabic speech corpus. Results showed that the proposed wavelet packet decomposition features outperform the MFCC features in speech segmentation task, in terms of both F1-score and R-measure on both datasets. Results also indicate that the SRC gives higher hit rate than the famous k-Nearest Neighbors (k-NN) classifier on TIMIT dataset. Keywords—Arabic speech corpus, ASR, F1-score, phonetic segmentation, sparse representation classifier, TTS, wavelet packet.","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122766108","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
Research Concerning Electromagnetic Emissions from Residential On-grid PV Systems 住宅并网光伏系统电磁辐射研究
Journal of Telecommunictions and Information Technology Pub Date : 2021-12-30 DOI: 10.26636/jtit.2021.157021
K. Maniak, J. Sobolewski, T. Tomczyk, K. Spalt, Jacek Wroński
{"title":"Research Concerning Electromagnetic Emissions from Residential On-grid PV Systems","authors":"K. Maniak, J. Sobolewski, T. Tomczyk, K. Spalt, Jacek Wroński","doi":"10.26636/jtit.2021.157021","DOIUrl":"https://doi.org/10.26636/jtit.2021.157021","url":null,"abstract":"","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126811512","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
Fusion of Depth and Thermal Imaging for People Detection 基于深度和热成像的人体检测
Journal of Telecommunictions and Information Technology Pub Date : 2021-12-30 DOI: 10.26636/jtit.2021.155521
Weronika Gutfeter, A. Pacut
{"title":"Fusion of Depth and Thermal Imaging for People Detection","authors":"Weronika Gutfeter, A. Pacut","doi":"10.26636/jtit.2021.155521","DOIUrl":"https://doi.org/10.26636/jtit.2021.155521","url":null,"abstract":"The methodology presented in this paper covers the topic of automatic detection of humans based on two types of images that do not rely on the visible light spectrum, namely on thermal and depth images. Various scenarios are considered with the use of deep neural networks being extensions of Faster R-CNN models. Apart from detecting people, independently, with the use of depth and thermal images, we proposed two data fusion methods. The first approach is the early fusion method with a 2-channel compound input. As it turned out, its performance surpassed that of all other methods tested. However, this approach requires that the model be trained on a dataset containing both types of spatially and temporally synchronized imaging sources. If such a training environment cannot be setup or if the specified dataset is not sufficiently large, we recommend the late fusion scenario, i.e. the other approach explored in this paper. Late fusion models can be trained with single-source data. We introduce the dual-NMS method for fusing the depth and thermal imaging approaches, as its results are better than those achieved by the","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132082165","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: 3
Evaluation of Radio Channel Utility using Epsilon-Greedy Action Selection 用Epsilon-Greedy动作选择评价无线电信道效用
Journal of Telecommunictions and Information Technology Pub Date : 2021-09-30 DOI: 10.26636/jtit.2021.153621
Krzysztof Malon
{"title":"Evaluation of Radio Channel Utility using Epsilon-Greedy Action Selection","authors":"Krzysztof Malon","doi":"10.26636/jtit.2021.153621","DOIUrl":"https://doi.org/10.26636/jtit.2021.153621","url":null,"abstract":"This paper presents an algorithm that supports the dynamic spectrum access process in cognitive radio networks by generating a sorted list of best radio channels or by identifying those frequency ranges that are not in use temporarily. The concept is based on the reinforcement learning technique named Q-learning. To evaluate the utility of individual radio channels, spectrum monitoring is performed. In the presented solution, the epsilon-greedy action selection method is used to indicate which channel should be monitored next. The article includes a description of the proposed algorithm, scenarios, metrics, and simulation results showing the correct operation of the approach relied upon to evaluate the utility of radio channels and the epsilon-greedy action selection method. Based on the performed tests, it is possible to determine algorithm parameters that should be used in this proposed deployment. The paper also presents a comparison of the results with two other action selection methods. Keywords—cognitive radio, dynamic spectrum access, spectrum monitoring, machine learning, Q-learning.","PeriodicalId":227678,"journal":{"name":"Journal of Telecommunictions and Information Technology","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115986058","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
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