2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)最新文献_第2页

A video conversion technique to image mosaic 一种图像拼接的视频转换技术

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) Pub Date : 2019-12-01 DOI: 10.1109/ISACS48493.2019.9068870

A. Laraqui, Kamal Azmi, Mohammed Laraqui

引用次数: 1

Control System of a Quadrotor UAV with an Optimized Backstepping Controller 基于优化反步控制器的四旋翼无人机控制系统

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) Pub Date : 2019-12-01 DOI: 10.1109/ISACS48493.2019.9068874

Hamid Hassani, A. Mansouri, A. Ahaitouf

引用次数: 13

Evaluation of User Experience in the context of Mobile Serious Game 手机严肃游戏情境下的用户体验评价

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) Pub Date : 2019-12-01 DOI: 10.1109/ISACS48493.2019.9068872

Chaimae Meftah, A. Retbi, S. Bennani, M. K. Idrissi

引用次数: 5

Application of an efficient hydraulic model for surface water flows 地表水流动的有效水力模型的应用

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) Pub Date : 2019-12-01 DOI: 10.1109/ISACS48493.2019.9068888

Hind Talbi, Mohammed Jeyar, E. Chaabelasri, E. Imad, N. Salhi

引用次数: 0

QSAR study of isonicotinamides derivatives as Alzheimr's disease inhibitors using PLS-R and ANN methods 利用PLS-R和ANN方法对异烟碱酰胺衍生物作为阿尔茨海默病抑制剂的QSAR研究

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) Pub Date : 2019-12-01 DOI: 10.1109/ISACS48493.2019.9068919

Abdellah El Aissouq, H. Toufik, F. Lamchouri, Mourad Stitou, A. Ouammou

引用次数: 12

Lattice Boltzmann method for natural convection in a square cavity with a heated chip 格子玻尔兹曼方法在一个方形腔与加热芯片的自然对流

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) Pub Date : 2019-12-01 DOI: 10.1109/ISACS48493.2019.9068881

M. Hssikou, Y. Elguennouni, Jamal Baliti, M. Alaoui

引用次数: 1

Analyze and Study on Photovoltaic Parameters of Mono-Crystalline Silicon Solar Cell 单晶硅太阳能电池的光伏参数分析与研究

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) Pub Date : 2019-12-01 DOI: 10.1109/ISACS48493.2019.9068923

Benyounes Raillani, H. A. L. Ouali, S. Amraqui, M. Moussaoui, A. Mezrhab

{"title":"Analyze and Study on Photovoltaic Parameters of Mono-Crystalline Silicon Solar Cell","authors":"Benyounes Raillani, H. A. L. Ouali, S. Amraqui, M. Moussaoui, A. Mezrhab","doi":"10.1109/ISACS48493.2019.9068923","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068923","url":null,"abstract":"The main purpose of this study is analyzing the parameters variation of the PV panel under various values of temperature and irradiation to discuss their effects in the power production and the ratio performance. The performance of the photovoltaic solar model was simulated, in which the variation of temperature is taken in the range 20 - 75°C at constant irradiation intensity 1000 W/m2and with varying irradiation in the range 600 - 1200 W/m2 at constant temperature 25°C. Matlab/Simulink environment is used to modeling and simulate the photovoltaic system. The variation of various parameters such as current, voltage and fill factor FF, in addition the I-V and P-V curves are examined and presented for various values of input. The different results show that the performance decreased with the temperature increase same case for the irradiation increase. The power produce by the PV panel increase with the increase of irradiation therefore the performance of the panel decreases significantly, the fill factor shown important correlation with the temperature contrary to the irradiation changes.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"57 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":"122606092","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

An Iterative Approach for Modeling a Photovoltaic Module using the Complete Single-Diode Model 基于完全单二极管模型的光伏组件迭代建模方法

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) Pub Date : 2019-12-01 DOI: 10.1109/ISACS48493.2019.9068886

Mohsin Beniysa, A. El Janati El Idrissi, A. Bouajaj, M. Britel

{"title":"An Iterative Approach for Modeling a Photovoltaic Module using the Complete Single-Diode Model","authors":"Mohsin Beniysa, A. El Janati El Idrissi, A. Bouajaj, M. Britel","doi":"10.1109/ISACS48493.2019.9068886","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068886","url":null,"abstract":"Accurate modeling of photovoltaic generators (cells, modules and arrays) is an important leap towards simulating and optimizing the efficiency of these systems. The modeling proposed here relies on the complete single-diode model as equivalent circuit of the solar module. To perform such modeling, an iterative approach based on the Newton Raphson's numerical method is executed to identify five unknown parameters imposed by this model. Three photovoltaic modules of different technologies are used to validate the presented modeling: Mono-crystalline JKM32SM-72, Poly-crystalline KD13SGX-LP, and the Thin film Shell ST40. The algorithm developed by detailed mathematical equations is implemented using the script file in MATLAB software, and its results include the five parameters, power-voltage and current-voltage characteristic curves of the reference PV modules at standard test condition and nominal operating cell temperature condition, and the modeled values of voltage, current and power at the maximum power point. The accuracy of the modeling is evaluated by comparing the modeled peak power to the reported experimental one provided by each photovoltaic module manufacturer.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"172 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":"121090354","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

Machine learning algorithms used in Quantitative structure-activity relationships studies as new approaches in drug discovery 用于定量构效关系研究的机器学习算法作为药物发现的新方法

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) Pub Date : 2019-12-01 DOI: 10.1109/ISACS48493.2019.9068917

Mourad Stitou, H. Toufik, M. Bouachrine, H. Bih, F. Lamchouri

{"title":"Machine learning algorithms used in Quantitative structure-activity relationships studies as new approaches in drug discovery","authors":"Mourad Stitou, H. Toufik, M. Bouachrine, H. Bih, F. Lamchouri","doi":"10.1109/ISACS48493.2019.9068917","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068917","url":null,"abstract":"Developing machine learning algorithms have become important tools in drug discovery process. Nowadays, a variety of machine learning tools are used in quantitative structure-activity relationships (QSARs) to establish QSAR models. The 2D-QSAR analysis involves the study of quantitative relationships between the molecular descriptors and biological activity by using machine learning algorithms, such as partial least squares (PLS) and artificial neural networks (ANNs). The best linear 2D-QSAR model was developed through partial least squares (PLS) gave a high predictive ability (R2 = 0.87, F=52.80, R2pred = 0.80, Q2 = 0.77). Moreover, the non-linear artificial neural networks (ANNs) was shown better performance with Levenberge Marquardt (L-M) algorithm (architecture [3-3-1]: R2=0.94, R2pred=0.81, Q2=0.86). Those results uncovered that a_nO, PEOE_VSA+6 and Vsurf_R are important descriptors on which biological activity depends. Moreover, the retained 3D-QSAR model exhibits the best results (R2 = 0.94, R2pred = 0.80, Q2 = 0.67). However, the derived contour maps obtained by 3D-QSAR analysis indicate the favorable and unfavorable regions that could improve the cytotoxic activity. As a consequence, the established QSAR models based on machine learning methods could help us to understand the structural requirements necessary to design new compounds with improved biological activity.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"45 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":"127525458","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

Numerical simulation of High Speed Optical Local Area Networks 高速光局域网的数值模拟

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) Pub Date : 2019-12-01 DOI: 10.1109/ISACS48493.2019.9068869

Hamadouche Hadjira, Bouregaa Mouweffeq, Merabet Boualem, Ghouali Samir, Miraoui Abdelfettah, Moulay Mohammed

引用次数: 0