2021 International Congress of Advanced Technology and Engineering (ICOTEN)最新文献_第6页

Comparison of Four Time Series Forecasting Methods for Coal Material Supplies: Case Study of a Power Plant in Indonesia 煤炭原料供应四种时间序列预测方法的比较——以印尼某电厂为例

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493522

M. Rizki, A. Wenda, Farhan Dio Pahlevi, M. I. H. Umam, M. L. Hamzah, S. Sutoyo

{"title":"Comparison of Four Time Series Forecasting Methods for Coal Material Supplies: Case Study of a Power Plant in Indonesia","authors":"M. Rizki, A. Wenda, Farhan Dio Pahlevi, M. I. H. Umam, M. L. Hamzah, S. Sutoyo","doi":"10.1109/ICOTEN52080.2021.9493522","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493522","url":null,"abstract":"Coal is the main fuel in the production process at PT PJB UBJ O&M Tenayan. As a raw material, coal needs to be considered in terms of supply to prevent losses (depreciation in caloric content) in case of oversupply. This study aimed to compare four forecasting methods for coal material supply. The four methods of time series forecasting are the moving average method, the weighted moving average, the single exponential smoothing, and the linear regression. Forecasting error calculations used the smallest MAD, MSE, and MAPE error parameters, whereas the tracking signal was used to monitor the forecasting results. The data required were coal supply and demand. Based on the data processing obtained, results of this study show that the best method is linear regression with the results of the MAD value of 13,285.63, MSE of 228,778,800, and MAPE of 15.04%. Based on the results of the tracking signal, the forecasting results were within the control limits, which shows that the linear regression method is the best forecasting method that can be applied to control coal supply in the next period.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126434362","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: 11

ResNet-50 for Classifying Indonesian Batik with Data Augmentation 基于数据增强的印尼蜡染分类ResNet-50

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493488

Benny Sukma Negara, Eki Satria, Suwanto Sanjaya, Dimas Reynaldi Dwi Santoso

引用次数: 2

Improving the Performance of Intrusion Detection System through Finding the Most Effective Features 通过发现最有效的特征来提高入侵检测系统的性能

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493564

A. Al-Bakaa, Bahaa Al-Musawi

{"title":"Improving the Performance of Intrusion Detection System through Finding the Most Effective Features","authors":"A. Al-Bakaa, Bahaa Al-Musawi","doi":"10.1109/ICOTEN52080.2021.9493564","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493564","url":null,"abstract":"In recent years, we witnessed the ensuing surge in massive numbers and types of attacks. The future years will continue these trends but at a faster pace as a result of increasing the number of devices and the development of IoT devices. Thus, it becomes really important to detect different types of threats and hence secure these resources. To that end, previous works examined different feature selection techniques and machine learning algorithms. However, they are either suffer from a low detection accuracy or are not able to detect various types of attacks particularly the low-frequency attacks like worms. In this paper, we use multiple feature selection algorithms to find the subset of the more relevant features regarding each type of attack. Forward Selection Ranking and Backward Elimination Ranking algorithms are used along with decision tree classifier and random forest classifier. The system is evaluated in terms of accuracy, precision, sensitivity, and F-score and shows very high performance in detecting all types of attacks. It can detect all types of attacks with an accuracy rate of 99.9% and 99.96% for binary classification.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122525748","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

Semi-supervised Classification of Hyperspectral Image through Deep Encoder-Decoder and Graph Neural Networks 基于深度编解码器和图神经网络的高光谱图像半监督分类

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493562

Refka Hanachi, A. Sellami, I. Farah, M. Mura

{"title":"Semi-supervised Classification of Hyperspectral Image through Deep Encoder-Decoder and Graph Neural Networks","authors":"Refka Hanachi, A. Sellami, I. Farah, M. Mura","doi":"10.1109/ICOTEN52080.2021.9493562","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493562","url":null,"abstract":"The hyperspectral image (HSI) classification is a challenging task due to the high dimensional spectral feature space, and a low number of labeled training samples. To overcome these issues, we propose a novel methodology for HSI classification, called DAE-GCN, which is based on deep neural networks. The main goal is to preserve both spectral and spatial features in the classification task by using only a few number of labeled training samples. Firstly, we propose a deep autoencoder (DAE) model, which learns to extract relevant features from the HSI. It seeks to find a better representation of the HSI in order to improve the classification rates. Secondly, we construct a spectral-spatial graph using the obtained latent representation space. The aim is to take into account the spectral and spatial features by considering distances between neighboring pixels. Finally, a semi-supervised graph convolutional network (GCN) is trained based on the latent representation space to perform the spectral-spatial classification of HSI. The main advantage of the proposed method is to allow the automatic extraction of relevant information while preserving the spatial and spectral features of data, and improve the classification of hyperspectral images even when the number of labeled samples is low. Experiments are conducted on two real HSIs, including Indian Pines, and Pavia University datasets. Experimental results show that the proposed model DAE-GCN is competitive in classification performances compared to various state-of-the-art methods.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123212196","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

Design of UWB Antenna for Microwave Imaging using Modified Fractal Structure 基于改进分形结构的超宽带微波成像天线设计

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493440

H.M.Q. Rasheda, N. Abdullah, Qazwan Abdullah (غزوان عبد الله محمد طربوش), N. Farah, Abbas Uğurenver, A. Salh, A. O. Mumin

{"title":"Design of UWB Antenna for Microwave Imaging using Modified Fractal Structure","authors":"H.M.Q. Rasheda, N. Abdullah, Qazwan Abdullah (غزوان عبد الله محمد طربوش), N. Farah, Abbas Uğurenver, A. Salh, A. O. Mumin","doi":"10.1109/ICOTEN52080.2021.9493440","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493440","url":null,"abstract":"UWB is increasingly advancing as a high data rate wireless technology after the Federal Communication Commission announced the bandwidth of 7.5 GHz (from 3.1 GHz to 10.6 GHz) for ultra-wideband (UWB) applications. Furthermore, designing a UWB antenna faces more difficulties than designing a narrow band antenna. A suitable UWB antenna should be able to work over the Federal Communication Commission (FCC) of ultra-wide bandwidth allocation. Furthermore, good radiation properties across the entire frequency spectrum are needed. This paper presents an optimization of a modified fractal structure based on a square microstrip patch antenna with the partial ground using computer software technology (CST) simulation software for a microwave imaging application. The optimized antenna proposed a small fractal structure to meet the ultra-wideband characteristic in terms of reflection coefficient and bandwidth. The overall size of the designed antenna is 39 mm ×39mm ×1.65 mm and reduced the size by cutting the edges and the center of the patch. The optimized results reported concentrating on the rerun loss, voltage standing wave ratio (VSWR) and gain. The projected antenna is fabricated and the results are validated using measurements indicating an important enhancement. Thus, the optimized design is suitable for the microwave imaging system.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131512900","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

Investigation the Impact of Partial Discharges Polarity on Reliability Assessment of Insulation Condition in High Voltage Equipment 局部放电极性对高压设备绝缘状态可靠性评估的影响研究

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493547

A. Baboraik, A. Ebrahim, Sameh Kassem, A. Usachev

{"title":"Investigation the Impact of Partial Discharges Polarity on Reliability Assessment of Insulation Condition in High Voltage Equipment","authors":"A. Baboraik, A. Ebrahim, Sameh Kassem, A. Usachev","doi":"10.1109/ICOTEN52080.2021.9493547","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493547","url":null,"abstract":"The partial discharge (PD) method is widely used to assess the condition of insulation in high voltage equipment. Moreover, the magnitude and the number of pulses are the most important characteristics of partial discharge. However, there are many factors that affect the reliability of these parameters, which in turn leads to wrong estimations of insulation conditions during the PD measurements through the electrical method. Therefore, there are many kinds of research to minimize the effect of various parameters on measured PD magnitudes. However, until now there are not any explanations of the appearance of PD pulses with opposite polarities, which do not correspond to the theory of PD. As result, some devices filter these numbers of unusual PDs and consider them as noise. For this reason, this work will explain the detection of different PD pulse polarities by carrying out computer simulation and experimental analysis using different applied voltages. It will also illustrate how ignoring the PDs pulses with opposite polarities affects the reliability of the assessment method of the insulation condition in HV equipment.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131333583","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

Experiment on Electricity Consumption Prediction using Long Short-Term Memory Architecture on Residential Electrical Consumer 基于长短期记忆结构的住宅用电量预测实验

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493466

N. S. Md Salleh, A. Suliman, B. Jørgensen

{"title":"Experiment on Electricity Consumption Prediction using Long Short-Term Memory Architecture on Residential Electrical Consumer","authors":"N. S. Md Salleh, A. Suliman, B. Jørgensen","doi":"10.1109/ICOTEN52080.2021.9493466","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493466","url":null,"abstract":"Renewable energy is an alternative for carbon-intensive energy sources that reduce global warming emissions. The electricity demand prediction helps to predict the consumption patterns on the demand side. The historical dataset of electricity usage is an essential source required to perform electricity prediction. This paper proposed the addition of independent variables that includes special days or holidays, weekend, seasons, and daylight duration into the basic electricity usage dataset that helps to increase the prediction accuracy. There were two datasets used in this study, basic electricity usage dataset that consists of date, time, and usage features, and extended electricity usage dataset that consists of the basic and independent variables features. Each dataset produced one model, basic model and extended model, respectively, from the training sessions conducted. The basic electricity usage dataset model was used as a benchmark to evaluate the quality of the model with extended features, extended model. Long-Short Term Memory (LSTM) was the selected machine learning architecture due to its ability to solve the regression problem in time series. All models produced were evaluated using two evaluation metrics, mean squared error (MSE) and mean absolute error (MAE). The application of the proposed methodology, LSTM with the proposed extended features had the lowest error rate with an MSE value of 0.1238 and an MAE value of 0.0388. These results showed that adding independent variables into the dataset improved the model generated from the training session.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":" 38","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120834736","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 Short Review of Nano-Cellulose Preparation from Textile Spinning Waste Cotton 纺织废棉制备纳米纤维素的研究进展

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493539

A. S. F. Mahamude, W. Harun, K. Kadirgama, K. Farhana, D. Ramasamy

{"title":"A Short Review of Nano-Cellulose Preparation from Textile Spinning Waste Cotton","authors":"A. S. F. Mahamude, W. Harun, K. Kadirgama, K. Farhana, D. Ramasamy","doi":"10.1109/ICOTEN52080.2021.9493539","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493539","url":null,"abstract":"Cotton fiber is the most used natural fiber among all other fibers as its application is not bound to the restriction. Cotton cellulose is a linear biopolymer and cotton is the most abundant as well as the most popular natural fiber for preparing natural human apparel that directly produces from nature. In the process of apparel manufacturing, each year huge amount of cotton fiber turns into waste. This paper aims to evaluate the preparation of nano-cellulose or nanocrystal cellulose from this waste cotton. Therefore, the waste cotton scenario of the spinning industry, statistics of waste cotton, and nanofiber in the spinning industry studied elaborately. Besides, this review describes the nano-cellulose materials preparation techniques, cotton waste source, nano-cellulose physical structure. Nanocellulose is prepared using a variety of methods, including biological, mechanical, organic mechanical, bacterial, and enzyme processes, as well as a variety of chemicals. Nano-cellulose preparation processes with a high proportion aspect and strong thermal efficiency in this phase pave the way for alternative cotton reuse. Nano-cellulose has become commercially popular, but it cannot be used across the market at a high price, but waste cotton is the solution for the cheap end price for food supply, drug supply, army dress, and textiles. Due to the availability of waste cotton in very cheap in market and conversion to valuable product it will be a value added product.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"143-147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130645426","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

Wireless Remote Control-Security System for Entrances (WRC-SSE) 无线遥控门禁安全系统(WRC-SSE)

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493429

Abdullah Alanazi, Tawfik Al-Hadhrami, Faisal Saeed, Kenny Awuson-David

{"title":"Wireless Remote Control-Security System for Entrances (WRC-SSE)","authors":"Abdullah Alanazi, Tawfik Al-Hadhrami, Faisal Saeed, Kenny Awuson-David","doi":"10.1109/ICOTEN52080.2021.9493429","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493429","url":null,"abstract":"A Wireless Remote-Control Security System for Entrances (WRC-SSE) has been designed based on face recognition and a microprocessor built-in GSM unit’s core concept, a safety device which recognizes and enables face recognition for entering an organisation or multi-structure building has been involved to supply and store this database during fires and serious incidents, also containing the GSM with strong covering network infrastructure. Zigbee and the Internet of Things (IoT) have been used in this work. The WRC-SSE is designed to provide access to a remote user from anywhere in the world through a GSM network. The concepts are based on facial recognition systems and the theory of biometric applications. Roborealm software has been used and made sophisticated enough to detect and alert the client of any violation of safety in their territory. This system observes, the MX20 Microprocessor Board, if any of an important component of the Global Mobile Communications System (GSM), was conceived. An automatic live door for contact -free home protection has been achieved through this work.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133306343","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

Privacy Concerns, IoT Devices and Attacks in Smart Cities 智能城市中的隐私问题、物联网设备和攻击

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493559

Wael Alnahari, M. Quasim

{"title":"Privacy Concerns, IoT Devices and Attacks in Smart Cities","authors":"Wael Alnahari, M. Quasim","doi":"10.1109/ICOTEN52080.2021.9493559","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493559","url":null,"abstract":"The advancement of technology and wide adoption of the Internet of Things (IoT) across the board will soon make the smart city a reality. Many governments are currently planning on rapidly transforming their cities into smart cities, while others are currently building new smart cities. These smart cities demand the installation of millions and in some cases billions of devices across the cities, homes and other institutions and different embedded systems and networks. Combined, these systems produce tons of data that can be used in different contexts. For the most part, proponents of smart cities reference the benefits of this implementation such as improved user experiences and security associated with improved monitoring capabilities. However, there have been concerns regarding privacy and how these capabilities can be misused by governments, private corporations, and malicious attackers. A potential solution to improve privacy while not infringing upon security is to implement blockchain technology which uses a combination of consensus and encryption algorithms. This paper will discuss the use of a fully homomorphic algorithm to encrypt data in such a way that maintains the user’s privacy and allows them complete control over their data.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"54 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113993305","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