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2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)最新文献

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A Multireceiver SAS Imaging Method 一种多接收机SAS成像方法
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI: 10.1109/ICDS53782.2021.9626712
Xuebo Zhang, Pan Huang, Yaqian Liu
{"title":"A Multireceiver SAS Imaging Method","authors":"Xuebo Zhang, Pan Huang, Yaqian Liu","doi":"10.1109/ICDS53782.2021.9626712","DOIUrl":"https://doi.org/10.1109/ICDS53782.2021.9626712","url":null,"abstract":"It is very hard for the multireceiver synthetic aperture sonar (SAS) to compensate the higher-order phase error. This paper decomposes the multireceiver SAS into many bistatic SASs. Then, two square rooted terms are transformed into a single square rooted term. Based on this transformation, the analytic point of stationary phase and point target reference spectrum (PTRS) can be easily obtained. The phase error is further analyzed in 2-D frequency domain, and the analysis shows that the PTRS can satisfy the need of high-resolution imaging. After that, an imaging algorithm is discussed based on presented PTRS. Finally, some simulations are carried out to verify presented method.","PeriodicalId":351746,"journal":{"name":"2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132546327","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 review on the Imaging Approaches in Agriculture with Crop and Soil Sensing Methodologies 基于作物和土壤遥感的农业成像方法综述
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI: 10.1109/ICDS53782.2021.9626711
Md. Ijaj Sadiq, S. Rahman, Shakiyen Kayes, Afnan Hossain Sumaita, N. A. Chisty
{"title":"A review on the Imaging Approaches in Agriculture with Crop and Soil Sensing Methodologies","authors":"Md. Ijaj Sadiq, S. Rahman, Shakiyen Kayes, Afnan Hossain Sumaita, N. A. Chisty","doi":"10.1109/ICDS53782.2021.9626711","DOIUrl":"https://doi.org/10.1109/ICDS53782.2021.9626711","url":null,"abstract":"Climate change, droughts, and growing food demands are the rising problems in the field of agriculture. Agricultural methodologies need acclimatization to these growing problems with technological innovations. The infrared and visible imaging approaches are substantial to ascertain crop health, temperature and humidity distributions, salinity, water stress, and visible pattern recognition for the widespread areas of agricultural lands. The paper has put forward a review on the viable image processing methods incorporating computer vision, machine learning, infrared and visible imaging, and complex crop and soil nutrient sensing technologies, which are being used to detect the pivotal elements required for the monitoring systems. The discussed approaches and analyses, if implemented, have the prospects of expanding the field of agriculture with the emerging technologies, which would be able to adapt to the rising demand of quality crop productions.","PeriodicalId":351746,"journal":{"name":"2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131848216","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
Discrete-time Takagi-Sugeno Fuzzy Systems with Unmeasurable Premise Variables: Application to an Electric Vehicle 具有不可测前提变量的离散时间Takagi-Sugeno模糊系统:在电动汽车上的应用
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI: 10.1109/ICDS53782.2021.9626732
Ilham Hmaiddouch, M. Essabre, A. El Assoudi, E. H. El Yaagoubi
{"title":"Discrete-time Takagi-Sugeno Fuzzy Systems with Unmeasurable Premise Variables: Application to an Electric Vehicle","authors":"Ilham Hmaiddouch, M. Essabre, A. El Assoudi, E. H. El Yaagoubi","doi":"10.1109/ICDS53782.2021.9626732","DOIUrl":"https://doi.org/10.1109/ICDS53782.2021.9626732","url":null,"abstract":"This paper studies fuzzy unknown input observer design for a class of discrete-time Takagi-Sugeno systems with unmeasurable premise variables. The convergence conditions of this observer design are established using Lyapunov theory and expressed in term of linear matrix inequalities. The final part of the paper presents an application to electric vehicle which exhibit the performance and effectiveness of the proposed fuzzy unknown input observer design.","PeriodicalId":351746,"journal":{"name":"2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133378169","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
Roomsemble: Progressive web application for intuitive property search Roomsemble:用于直观属性搜索的渐进式web应用程序
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI: 10.1109/ICDS53782.2021.9626740
Chris Kottmyer, Kevin Zhao, Zona Kostic, A. Jevremović
{"title":"Roomsemble: Progressive web application for intuitive property search","authors":"Chris Kottmyer, Kevin Zhao, Zona Kostic, A. Jevremović","doi":"10.1109/ICDS53782.2021.9626740","DOIUrl":"https://doi.org/10.1109/ICDS53782.2021.9626740","url":null,"abstract":"A successful real estate search process involves locating a property that meets a user’s search criteria subject to an allocated budget and time constraints. Many studies have investigated modeling housing prices over time. However, little is known about how a user’s tastes influence their real estate search and purchase decisions. It is unknown what house a user would choose taking into account an individual’s personal tastes, behaviors, and constraints, and, therefore, creating an algorithm that finds the perfect match. In this paper, we investigate the first step in understanding a user’s tastes by building a system to capture personal preferences. We concentrated our research on real estate photos, being inspired by house aesthetics, which often motivates prospective buyers into considering a property as a candidate for purchase. We designed a system that takes a user-provided photo representing that person’s personal taste and recommends properties similar to the photo available on the market. The user can additionally filter the recommendations by budget and location when conducting a property search. The paper describes the application’s overall layout including frontend design and backend processes for locating a desired property. The proposed model, which serves as the application’s core, was tested with 25 users, and the study’s findings, as well as some key conclusions, are detailed in this paper.","PeriodicalId":351746,"journal":{"name":"2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133383548","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
Marble Quality Assessment with Deep Learning Regression 基于深度学习回归的大理石质量评价
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI: 10.1109/ICDS53782.2021.9626726
Athanasios G. Ouzounis, George Taxopoulos, G. Papakostas, I. Sarafis, Andreas Stamkos, George Solakis
{"title":"Marble Quality Assessment with Deep Learning Regression","authors":"Athanasios G. Ouzounis, George Taxopoulos, G. Papakostas, I. Sarafis, Andreas Stamkos, George Solakis","doi":"10.1109/ICDS53782.2021.9626726","DOIUrl":"https://doi.org/10.1109/ICDS53782.2021.9626726","url":null,"abstract":"Natural rock tile classification, with the use of computer vision and machine learning techniques, is a methodology well documented in academic literature. The broad variety of textures present on the rock tiles’ surface, creates many ornamental patterns. This leads to rather different-looking surfaces being classified into the same group based on certain criteria. In this paper, regression is tested on dolomitic marble tiles to assign a quality value (QV) ranging from zero to one. Five Convolutional Neural Networks were tested on a dataset containing digital images (DI) of natural rock tiles and their QV assigned by an expert. The dolomitic samples were provided by Solakis Marble Industries S.A. The DIs were acquired by an automatic machine developed by Intermek S.A. MobileNetV2 (MNV2) achieved the best result with a Mean Absolute Percentage Error (MAPE) of 31.20% to the actual QV assigned to the marble tile.","PeriodicalId":351746,"journal":{"name":"2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)","volume":"27 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133488248","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
Context aware Hidden Markov Model for Intention process mining 意向过程挖掘的上下文感知隐马尔可夫模型
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI: 10.1109/ICDS53782.2021.9626765
Imane Choukri, Hatim Guermah, Abdelmajid Daosabah, M. Nassar
{"title":"Context aware Hidden Markov Model for Intention process mining","authors":"Imane Choukri, Hatim Guermah, Abdelmajid Daosabah, M. Nassar","doi":"10.1109/ICDS53782.2021.9626765","DOIUrl":"https://doi.org/10.1109/ICDS53782.2021.9626765","url":null,"abstract":"Nowadays, the omnipresence of digital devices and solutions in daily life made the digital footprints of individuals and the traces of their activities widely available. Smart devices generate a tremendous amount of data that and enables tracking their users’ activity. Extensive research has been conducted to produce generic process models based on the analysis of user’s activity recorded during the enactment of operational processes. Unfortunately, these approaches considered only the relation between the observed activities and their sequences to infer the underlying process. Thus, ignoring the goal conditioning the user’s behavior when triggering the actual process. Nevertheless, the same activity traces could serve to unhide the intention behind each process. This article will focus on presenting our approach to Contextual intention mining using Hidden Markov Model (HMM). This approach explores the close relationships between intention and context to construct the process model while ensuring consistency between observed context and actual intentions.","PeriodicalId":351746,"journal":{"name":"2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)","volume":"511 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115716159","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
Single-phase photovoltaic grid-connected inverter based on fuzzy Variable Step Size P&O control 基于模糊变步长P&O控制的单相光伏并网逆变器
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI: 10.1109/ICDS53782.2021.9626769
Zerouali Mohammed, El Ougli Abdelghani, Tidhaf Belkassem
{"title":"Single-phase photovoltaic grid-connected inverter based on fuzzy Variable Step Size P&O control","authors":"Zerouali Mohammed, El Ougli Abdelghani, Tidhaf Belkassem","doi":"10.1109/ICDS53782.2021.9626769","DOIUrl":"https://doi.org/10.1109/ICDS53782.2021.9626769","url":null,"abstract":"The production of electrical energy from renewable energies has become a hot topic. This work proposes a new MPPT for a photovoltaic system based on the fuzzy logic approach. The studied system consists of a PV generator, a DCDC Boost converter, a full H-bridge single-phase inverter, (RL) filter and the grid. To extract the maximum power from the PV generator we have used a new proposed MPPT based on Variable Step Size P & O and compared it with a classical Perturb and observe (P & O). In addition, the complete inverter topology of the H-bridge as well as two control loops; a voltage control loop and a current control loop are used as a link between the system and the grid. To reduce parasites in the form of voltage and current, a low pass filter with a resistor inductance (RL) has been designed. The various simulation results have shown the efficiency of the system.","PeriodicalId":351746,"journal":{"name":"2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122657500","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
A New Framework for Secure Biometric Data Transmission using Block-wise Reversible Data Hiding Through Encryption 一种利用分组可逆数据隐藏加密的安全生物特征数据传输新框架
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI: 10.1109/ICDS53782.2021.9626742
Harshad Dhane, V. Manikandan
{"title":"A New Framework for Secure Biometric Data Transmission using Block-wise Reversible Data Hiding Through Encryption","authors":"Harshad Dhane, V. Manikandan","doi":"10.1109/ICDS53782.2021.9626742","DOIUrl":"https://doi.org/10.1109/ICDS53782.2021.9626742","url":null,"abstract":"Reversible data hiding (RDH) is an emerging area in the field of information security. The RDH schemes are widely explored in the field of cloud computing for data authentication and in medical image transmission for clinical data transmission along with medical images. The RDH schemes allow the data hider to embed sensitive information in digital content in such a way that later it can be extracted while recovering the original image. In this research, we explored the use of the RDH through the encryption scheme in a biometric authentication system. The internet of things (IoT) enabled biometric authentication systems are very common nowadays. In general, in biometric authentication, computationally complex tasks such as feature extraction and feature matching will be performed in a cloud server. The user-side devices will capture biometric data such as the face, fingerprint, or iris and it will be directly communicated to the cloud server for further processing. Since the confidentiality of biometric data needs to be maintained during the transmission, the original biometric data will be encrypted using any one of the data encryption techniques. In this manuscript, we propose the use of RDH through encryption approach to transmit two different biometric data as a single file without compromising confidentiality. The proposed scheme will ensure the integrity of the biometric data during transmission. For data hiding purposes, we have used a block-wise RDH through encryption scheme. The experimental study of the proposed scheme is carried out by embedding fingerprint data in the face images. The validation of the proposed scheme is carried out by extracting the fingerprint details from the face images during image decryption. The scheme ensures the exact recovery of face image images and fingerprint data at the receiver site.","PeriodicalId":351746,"journal":{"name":"2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131964848","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 new transport-based approach for simulating impact of urban mobility on COVID-19 propagation 基于交通的城市交通对COVID-19传播影响模拟新方法
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI: 10.1109/ICDS53782.2021.9626768
El-arbi El-alaouy, Hamd Ait Abdelali, Yahya Zennayi, F. Bourzeix, Mohamed Amine, Gabriel Malka
{"title":"A new transport-based approach for simulating impact of urban mobility on COVID-19 propagation","authors":"El-arbi El-alaouy, Hamd Ait Abdelali, Yahya Zennayi, F. Bourzeix, Mohamed Amine, Gabriel Malka","doi":"10.1109/ICDS53782.2021.9626768","DOIUrl":"https://doi.org/10.1109/ICDS53782.2021.9626768","url":null,"abstract":"COVID-19 has arisen great control challenges to Governments and decision-makers. In 2020, the COVID-19 pandemic has spread around the world, causing nearly 123 million of confirmed cases (March 22, 2021). With the fact that cities are densely populated and public transport is a place that gathers a great number of populations, questions of the impact of urban mobility on COVID-19 propagation and the impact of protection measures on COVID-19 propagation are to be addressed. This research paper presents our novel transport based approach for modeling and simulating COVID-19 disease centered on the SUMO traffic simulator. Conventional approaches will be presented firstly, we discuss their pros and cons and we give a comparison. Based on their comparison, we noticed that mathematical, spatio-temporal, cellular automata and agent-based models cannot represent many transport aspects related to transport restrictions (e.g., barriers and reduction of vehicles capacities). We detail then the proposed approach in which we describe the required data, which are Open Street Map data, traffic data, individuals’ data, pandemic and restrictions data. We are currently using this approach for developing a COVID-19 simulator based on the SUMO traffic simulator. Obtained intermediate results confirmed that the proposed approach addresses well the above-mentioned questions.","PeriodicalId":351746,"journal":{"name":"2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130407921","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
Intelligent Sliding Mode Control based on optimized PID by DE Algorithm for wind turbine System 基于DE算法优化PID的风电系统智能滑模控制
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI: 10.1109/ICDS53782.2021.9626743
Khaddouj Ben Meziane, R. Naoual, Faiza Dib, I. Boumhidi
{"title":"Intelligent Sliding Mode Control based on optimized PID by DE Algorithm for wind turbine System","authors":"Khaddouj Ben Meziane, R. Naoual, Faiza Dib, I. Boumhidi","doi":"10.1109/ICDS53782.2021.9626743","DOIUrl":"https://doi.org/10.1109/ICDS53782.2021.9626743","url":null,"abstract":"The contribution presented in this paper focuses on the application of the differential evolution algorithm for an optimal surface of the sliding mode control applied to a speed wind turbine system The differential evolution algorithm is used in order to adjust optimally the parameters of the modified surface of sliding mode control, in this study we choose a PID type to overcome the problem of static error and exceeding the set point, the integral and derivative terms are included to improve the sliding surface which guarantees a maximum wind power extraction in the presence of the nonlinear dynamics and uncertainties. The proposed method is compared with the conventional SMC and PID-SMC; the simulations results show good performance in terms of stabilization time as well as in terms of pursuit.","PeriodicalId":351746,"journal":{"name":"2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128378087","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
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