2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)最新文献_第10页

Class Aware Auto Encoders for Better Feature Extraction 类感知自动编码器更好的特征提取

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514202

Ashhadul Islam, S. Belhaouari

引用次数: 1

Blockchain Privacy Preservation by Limiting Verifying Nodes' During Transaction Broadcasting 通过在交易广播期间限制验证节点来保护区块链隐私

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514212

Aisha Zahid Junejo, Manzoor Ahmed Hashmani, Abdullah Abdulrehman Alabdulatif

{"title":"Blockchain Privacy Preservation by Limiting Verifying Nodes' During Transaction Broadcasting","authors":"Aisha Zahid Junejo, Manzoor Ahmed Hashmani, Abdullah Abdulrehman Alabdulatif","doi":"10.1109/ICECCE52056.2021.9514212","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514212","url":null,"abstract":"The increasing awareness of the Blockchain technology has gained interest of researchers and industrialists in recent years, hence several business enterprises are keen on using blockchain technology for their day-to-day transactions and record keeping. However, due to public availability of data on the blockchain, it is not advisable for organizations dealing with sensitive and confidential data to risk their data privacy by using blockchain networks. In this study we talk about privacy vulnerabilities and challenges in blockchain based applications. We verify the extent of the problem by both, literary findings, and empirical analyses. Next, we propose a conceptual framework to strengthen privacy preservation of the blockchain networks. The proposed framework is based on the idea of limiting the number of nodes that a transaction is broadcast to, for verification. The selected nodes will differ for each transaction, decreasing the possibilities of network listening and deanonymization of users. Moreover, limiting the number of verifying nodes will result in drastic reduction of computation overhead of the network, along with improved scalability. The proposed framework is analyzed based on various privacy features and risks. The evaluation results show that the model has a privacy rank of 0.76.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132302847","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

An Adaptation of Deep Learning Technique In Orbit Propagation Model Using Long Short-Term Memory 基于长短期记忆的深度学习技术在轨道传播模型中的应用

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514264

Nor'asnilawati Salleh, Nurulhuda Firdaus Mohd Azmi, S. Yuhaniz

引用次数: 2

Cold Chain Maintenance Evaluation of Pre-Cooked Pasta by Visible and Short Wave InfraRed Spectroscopy 用可见光和短波红外光谱评价预熟面食的冷链维护

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514114

G. Bonifazi, G. Capobianco, R. Gasbarrone, S. Serranti

{"title":"Cold Chain Maintenance Evaluation of Pre-Cooked Pasta by Visible and Short Wave InfraRed Spectroscopy","authors":"G. Bonifazi, G. Capobianco, R. Gasbarrone, S. Serranti","doi":"10.1109/ICECCE52056.2021.9514114","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514114","url":null,"abstract":"Pasta is widely used in many cuisines all around the world for its important nutritional properties. The quality assurance and the maintenance of the cold chain of pre-cooked pasta products have a significant impact in economic terms on the manufacturing companies. For this reason, a fast, reliable, not-destructive and non-invasive method is needed to fulfill the above-mentioned goals. Visible and Near InfraRed spectroscopy, coupled with chemometric analysis, are powerful tools that can make the production and supply of pre-cooked pasta more transparent, also reducing food waste. In this study, a spectrophotoradiometer operating in the Visible - Short Wave InfraRed (Vis-SWIR) range (350-2500 nm) was used to acquire reflectance spectra on pre-cooked pasta samples, with two levels of saltiness, produced in Italy and intended for the US market. Partial Least Squares - Discriminant Analysis (PLS-DA) classification models were calibrated and validated to recognize the samples according to their salting and physical conditions (i.e. frozen/thawed), starting from their spectral signatures. Classification performances showed promising ability in characterizing samples according to the previously mentioned attributes.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133754839","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

Optimal Auto Calling Algorithm For Real-Time Condition Reporting By Corruption Handling Officer 腐败处理人员实时状态报告的最优自动呼叫算法

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514195

Ida, Hamdan Gani, Muhammad Faisal, Rosnani

{"title":"Optimal Auto Calling Algorithm For Real-Time Condition Reporting By Corruption Handling Officer","authors":"Ida, Hamdan Gani, Muhammad Faisal, Rosnani","doi":"10.1109/ICECCE52056.2021.9514195","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514195","url":null,"abstract":"Corruption is a primary development challenge in Indonesia's economic and social field. In order to overcome these threats, Indonesia's government has been established the Corruption Eradication Commission (Komisi Pemberantasan Korupsi, abbreviated KPK). KPK's goal is to free Indonesia from corruption by investigating corruption cases and monitoring the governance process. KPK uses one effective method called “hand arrest operation”, abbreviated OTT, to handle corruption cases. However, the existing hand arrest operation that KPK used today is not always effective because, in real action, the KPK's official always overdue to find actual evidence of the communication between the suspect. Thus, there is a need for a rapid method to record the suspicious conversation or transaction voice between the suspect as actual evidence for a corruption case. Thus, this paper aims to propose a supporting tool for real-time hand arrest operations to support KPK officials in OTT action. The experimental results show that the proposed method can effectively record all the suspicious communication or transaction voices between the suspect in a scenario room. Finally, this study concluded that the proposed method is a promising way to help the work of KPK in OTT.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134520178","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

Exploring Neural Turing Machines Applicability in Neural-Symbolic Decision Support Systems 探索神经图灵机在神经符号决策支持系统中的应用

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514138

A. Demidovskij

引用次数: 1

Breast Cancer Detection in Thermal Images Using GLRLM Algorithm 基于GLRLM算法的热图像乳腺癌检测

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514225

Saman Saadizadeh

引用次数: 0

Efficient Integration Model of MAS and Blockchain for emergence of Self-Organized Smart Grids 面向自组织智能电网的MAS与区块链高效集成模型

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514137

I. Ostheimer, M. Hercog, Bojan Bijelić, D. Vranješ

引用次数: 0

Estimation and Forecasting Electricity Load in Benin: Using Econometric Model ARIMA/GARCH 估计和预测贝宁电力负荷:使用计量经济模型ARIMA/GARCH

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514208

Habib Conrad Sotiman Yotto, P. Chetangny, S. Houndedako, J. Aredjodoun, D. Chamagne, G. Barbier, A. Vianou

{"title":"Estimation and Forecasting Electricity Load in Benin: Using Econometric Model ARIMA/GARCH","authors":"Habib Conrad Sotiman Yotto, P. Chetangny, S. Houndedako, J. Aredjodoun, D. Chamagne, G. Barbier, A. Vianou","doi":"10.1109/ICECCE52056.2021.9514208","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514208","url":null,"abstract":"In order to help governments in energy development programming and also public service operators and network managers to have better planning for managing electricity demand and design better operational planning on production units and distribution networks, it is necessary to make the long-term, prediction, estimation and evaluation of the electrical load. The aim of this work is to propose the econometric model to estimate and forecast the electricity load in Benin for a long term, until 2030. It is important to notice that due to the complexity and multiple parameters considered for the forecasting, the use of single model will lack of accuracy and the results will not be conform to the reality. In this paper we propose an hybrid model ARIMA/GARCH, a non-linear model that combines a linear model of autoregressive integrated moving average (ARIMA) and a non-linear model, generalized autoregressive conditional heteroscedasticity (GARCH). This model is applied to obtain a non-linear relationship between load variation and determinants such as demographic change, gross domestic product GDP and weather parameters for an accurate demand forecasting.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125545657","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

Gaussian-Radial Under-Sampling Based CSMRI Reconstruction using a Modified Interpolation Approach 基于改进插值方法的高斯径向欠采样CSMRI重构

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2021-06-12 DOI: 10.1109/ICECCE52056.2021.9514254

Maria Murad, A. Jalil, Muhammad Bilal, Shahid Ikram, Ahmad Ali, Khizer Mehmeed, Baber Khan

{"title":"Gaussian-Radial Under-Sampling Based CSMRI Reconstruction using a Modified Interpolation Approach","authors":"Maria Murad, A. Jalil, Muhammad Bilal, Shahid Ikram, Ahmad Ali, Khizer Mehmeed, Baber Khan","doi":"10.1109/ICECCE52056.2021.9514254","DOIUrl":"https://doi.org/10.1109/ICECCE52056.2021.9514254","url":null,"abstract":"Magnetic Resonance Imaging (MRI) is used to produce detailed images of body tissues and organs using strong magnets and radio waves, but with a very slow acquisition process. Compressed Sensing (CS) has efficiently accelerated the MRI acquisition process by employing different reconstruction strategies using a fraction of the Nyquist samples. This scan time can be further reduced using a new technique called interpolated compressed sensing (iCS) by exploiting the inter-slice correlation of multi-slice MRI. In this paper, a modified fast interpolated compressed sensing (Mod-FiCS) technique is proposed using the Gaussian-Radial under-sampling scheme. The Gaussian-Radial under-sampling approach adopted by Mod-FiCS has an edge that it neither shows any streaking artifacts like Radial nor blurred edges like Gaussian. The new interpolation approach used in Mod-FiCS technique uses three consecutive slices to estimate the missing samples. Six evaluation metrics are used to analyze the performance of the proposed technique such as structural similarity index measurement (SSIM), feature similarity index measurement (FSIM), mean square error (MSE), peak signal to noise ratio (PSNR), correlation (CORR), and sharpness index (SI), and compared with recent sampling and interpolation techniques. The simulation result shows that the proposed technique has improvement both quantitatively and qualitatively.","PeriodicalId":302947,"journal":{"name":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130169639","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