2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)最新文献_第7页

A genetic algorithm with an elitism replacement method for solving the nonfunctional web service composition under fuzzy QoS parameters 基于精英置换的遗传算法求解模糊QoS参数下的非功能web服务组合问题

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466057

Fateh Seghir

{"title":"A genetic algorithm with an elitism replacement method for solving the nonfunctional web service composition under fuzzy QoS parameters","authors":"Fateh Seghir","doi":"10.1109/AIMS52415.2021.9466057","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466057","url":null,"abstract":"The nonfunctional (QoS-aware) web Service Composition (QSC) problem, which is a strong NP-hard optimization one, is widely addressed by considering the advertised Quality of Service (QoS) values of web services as non-ambiguous. However, in real world environments, and due to some of their unconditional factors like network architectures changes, communications congestion and economic policies, the QoS values ambiguity should be undertaken in formulating the QSC problem. In this paper, we present a genetic algorithm that integrates an elitism replacement method for solving the QoS problem under fuzzy QoS parameters, which have been expressed as generalized trapezoidal fuzzy numbers. The addressed QSC problem is formulated as a fuzzy nonlinear integer constrained single-objective optimization model through adapting the well-known simple additive weighting method. To illustrate the performance and the efficiency of the proposed algorithm, we present the experimental comparisons to a fuzzy approach of an existing Particle Swarm Optimization (PSO)-based web service selection algorithm over a fuzzy extended version of the real-world QWS dataset.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114612926","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

Color Mapping for Volume Rendering Using Digital Imaging and Communications in Medicine Images 医学图像中使用数字成像和通信进行体绘制的颜色映射

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466012

Aziz Fajar, Dwi Wahyu Santoso, Zico Ritonda Bahen, R. Sarno, C. Fatichah

引用次数: 1

An Optimized Off-grid Renewable Micro-Grid Design and Feasibility Analysis for Remote Industries of Gadoon Swabi (Pakistan) 巴基斯坦Gadoon Swabi偏远工业离网可再生微电网优化设计及可行性分析

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466023

S. Tahir, M. Khan, Mubashir Rasool, Nauman Naseer

{"title":"An Optimized Off-grid Renewable Micro-Grid Design and Feasibility Analysis for Remote Industries of Gadoon Swabi (Pakistan)","authors":"S. Tahir, M. Khan, Mubashir Rasool, Nauman Naseer","doi":"10.1109/AIMS52415.2021.9466023","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466023","url":null,"abstract":"Some areas in Pakistan are still without excess to electricity and have no utility grid structure. Recently they are using diesel generators with fuel to fulfill their requirements. To overcome these problems, renewable energy technologies are capable of providing the electrical demand in those areas which have a shortage of electricity. Native renewable energy resources (RES) in remote areas can be utilized to establish a hybrid energy system that meets the electrical supplies of the community. This paper study a hybrid renewable energy system (HRES) based on solar, wind, and diesel resources to meet different industrial needs of the selected area. Industrial Estate Gadoon (District Swabi), Khyber Pakhtunkhwa, Pakistan is selected as a project site where there is a continuous need for a reliable energy resource throughout the year. The HOMER optimization software is utilized to design and analyze the system with estimated load requirements and existing energy resources. Optimization of the hybrid renewable energy system (HRES) has been done by selecting the best components and cheap, efficient, reliable, and cost-effective alternative energy systems. The system proposed comes out to have a very low cost of energy (i.e., 0.0655 $ /kWh). Sensitivity analysis of the proposed system shows that with an increase of 10% in wind speed, COE, and the total operating cost are reduced. This HRES proposed in the study can prove its efficiency and reliability at any place with the same system conditions.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122657638","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

Traffic Signs Detection and Recognition System Using the YOLOv4 Algorithm 基于YOLOv4算法的交通标志检测与识别系统

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466006

Rezki Wulandari Arief, I. Nurtanio, Faizal Arya Samman

引用次数: 1

Multi-Pole Road Sign Detection Based on Faster Region-based Convolutional Neural Network (Faster R-CNN) 基于更快区域卷积神经网络(Faster R-CNN)的多极道路标志检测

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466014

Achmad Zulfajri Syaharuddin, Z. Zainuddin, Andani

{"title":"Multi-Pole Road Sign Detection Based on Faster Region-based Convolutional Neural Network (Faster R-CNN)","authors":"Achmad Zulfajri Syaharuddin, Z. Zainuddin, Andani","doi":"10.1109/AIMS52415.2021.9466014","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466014","url":null,"abstract":"Building an approach system that is able to serve various types of traffic signs is a challenge. The important stages in handling an object are finding objects, dividing them into several categories, and marking objects with bounding boxes. However, in reality, monitoring traffic signs objects is quite difficult because it is based on various factors such as; other closed objects, driving times, or traffic sign conditions. This study aims to measure the level of precision in monitoring traffic signs (detection speed of 4–6 frames per second) from video recording (single camera) using the Faster Region based Convolutional Neural Network (Faster R-CNN) algorithm. The traffic sign detection system uses the Faster R-CNN algorithm with Inception v2 model which is implemented in the TensorFlow API framework. The Faster R-CNN consists of 2 different modules. The first module is a deep convolutional neural network which functions to build the area to be detected, which is called the Regional Proposal Network (RPN), and the second module is the Fast R-CNN detector which functions to use the previously proposed area. This system is one unit, a detection network based on the results of the manufacture and testing of a traffic sign detection system based on the Faster R-CNN method, so it can be shown that there is no difference in the results of detection of traffic signs in day and night conditions. Where the precision testing for detection of traffic signs during the day and at night is 100%.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128432007","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

Design of Arrhythmia Early Detection Interface Using Laravel Framework 基于Laravel框架的心律失常早期检测界面设计

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466030

Fikri Rida Pebriansyah, P. Turnip, N. S. Syafei, A. Trisanto, A. Turnip

{"title":"Design of Arrhythmia Early Detection Interface Using Laravel Framework","authors":"Fikri Rida Pebriansyah, P. Turnip, N. S. Syafei, A. Trisanto, A. Turnip","doi":"10.1109/AIMS52415.2021.9466030","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466030","url":null,"abstract":"Cardiovascular disease (CVD) is a disease caused by malfunctioning of the heart and blood vessels. Arrhythmias are a type of cardiovascular disease. Arrhythmia can be detected by reading the patient's electrocardiogram (ECG) data. A system is needed that can read the user's electrocardiogram data frequently and detect when an arrhythmic occurs. Therefore, it is necessary to create an interface that can visualize data both from ECG data and detection results by machine learning. The design method of this system is divided into 7 stages, namely: designing the user flow diagram, designing the model and controller, designing the entity-relationship diagram (ERD), designing the use case diagram, creating API specification, realizing the system, and testing the features. Data collection on the client side was carried out by testing conducted by the Google Chrome browser version 86.0.4240.198 and Apache JMeter 5.4.1. Based on the model that has been created and tested, it can be concluded that a web application has been successfully created to facilitate interaction between users and doctors on ECG data and the results of the user's ECG classification. These features have tested and have a functional percentage of 100%. On the server-side, the average CPU usage value were 86.27% for PHP, 4.77% for MariaDB, and 0.28% for Nginx. The average value of memory usage were 173.6 MB for PHP, 87.33 MB for MariaDB, and 7.90 MB for Nginx. Then, on the client-side, the more users who open the application at the same time, the value of the error ratio and response time would also increase. The system could handle 100 requests per second successfully, so application can handle 8,640,000 requests per day on the tested hardware specification.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115069145","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

Antioxidant and Wound Healing Potential of Persea Americana Mill. Leaves extract 美洲洋槐的抗氧化和伤口愈合潜力。叶萃取精华

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466076

Wilda Hayati, Martinus Ahmad Raif, C. Ginting, Refi Ikhtiari

{"title":"Antioxidant and Wound Healing Potential of Persea Americana Mill. Leaves extract","authors":"Wilda Hayati, Martinus Ahmad Raif, C. Ginting, Refi Ikhtiari","doi":"10.1109/AIMS52415.2021.9466076","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466076","url":null,"abstract":"Persea Americana Mill. (avocado) is the dicotyledonous plant that rich in secondary metabolite compounds such as saponins, alkaloids, terpenoids, and flavonoids. It applies as an antioxidant, anti-inflammatory, anti-lithiasis, and anti-diabetic. This study investigates the wound healing properties of P. americana leaves extract on Mus musculus in gel formulations. Preliminary phytochemical screening had done qualitatively, and antioxidant capacity was evaluated by the DPPH scavenging method. Extract in gel formulation contained various concentration of extracts (1%, 3%, 5%, and 7% v/v) was performed to observed the wound healing activity compared to standard medicine Bioplaceton® on mice. The phytochemical test showed the presence of alkaloids, flavonoids, saponins, and tannins. The result of the DPPH scavenging activity (IC50) of the leaves extract was 8.92 ppm. In wound healing activity, the application of extract P. americana leaves with various concentrations (1%, 3%, 5%, and 7% v/v) in gel formulations showed decreasing of wound length drastically to 0.9, 0.3, 0.2, and 0.7 cm, respectively. Gel-5% extract showed the highest percentage on wound healing, 90%, where gel-1% extract was 55%, gel-3% extract was 85%, and gel-7% extract was 75%. The 5% extract gel formulations showed a significant result similar to Bioplacenton®, with the percentage of wound healing being 90%. It can be concluded that the extract of P. americana leaves could be the potential for natural antioxidant and wound healing sources in the future.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126823266","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

A Modified Maximum Power Point Tracking Algorithm Using Grey Wolf Optimization for Constant Power Generation of Photovoltaic System 基于灰狼优化的光伏系统恒功率最大功率点跟踪改进算法

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466050

Fernanda Roikhul Hasan, Eka Prasetyono, Epyk Sunarno

{"title":"A Modified Maximum Power Point Tracking Algorithm Using Grey Wolf Optimization for Constant Power Generation of Photovoltaic System","authors":"Fernanda Roikhul Hasan, Eka Prasetyono, Epyk Sunarno","doi":"10.1109/AIMS52415.2021.9466050","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466050","url":null,"abstract":"The use of fossil fuels for power plant produces emissions that pollute the environment. It takes environmentally friendly energy, one of which is solar energy. The electrical energy produced by solar panels is influenced by the value of solar irradiation, so that the power generated by solar panels fluctuates. PV solar output is optimized using a modified Maximum Power Point Tracking (MPPT) algorithm using Grey Wolf Optimization (GWO). However, the overvoltage can be caused by the maximum power that the PV generates. This paper proposed the modification of the Maximum Power Point Tracking algorithm using Grey Wolf Optimization for Constant Power Generation of photovoltaic systems. This method prepares MPPT mode and CPG mode to handle solar PV conditions. When the output power of the PV is less than the limit power, the MPPT mode is active. Meanwhile, if the output power of the solar panel exceeds the limit power, the CPG mode is active. Used SEPIC converter for MPPT-CPG control. The simulation results of the proposed control method show that the output voltage response does not exceed the value of 24 V with the largest error value of 1.48% which has been verified using various radiation and reference power.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126386797","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

Comparison Accuracy of Multi-Layer Perceptron and DNN in QSAR Classification for Acetylcholinesterase Inhibitors 多层感知器与深度神经网络在乙酰胆碱酯酶抑制剂QSAR分类中的准确率比较

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466040

Mushliha, A. Bustamam, Arry Yanuar, W. Mangunwardoyo, P. Anki, R. Amalia

{"title":"Comparison Accuracy of Multi-Layer Perceptron and DNN in QSAR Classification for Acetylcholinesterase Inhibitors","authors":"Mushliha, A. Bustamam, Arry Yanuar, W. Mangunwardoyo, P. Anki, R. Amalia","doi":"10.1109/AIMS52415.2021.9466040","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466040","url":null,"abstract":"Recently, the development of the artificial intelligence approach is a solution for evaluating the effectiveness, analysis, and safety of drug candidates due to a large number of data sets available. One of the approaches to artificial intelligence is deep learning. Deep learning has a significant influence on drug discovery procedures for rational drug development and optimization so that it can affect public health. The discovery of various inhibitors needs reliable models to figure out the side effects of the drug without requiring large costs and long amounts of time. A new way for the treatment of Alzheimer's disease is Acetylcholinesterase inhibitors. The Quantitative Structure-Activity Relationship (QSAR) model is a model used to filter large databases of the compound to figure the biological properties of chemical molecules based on their structure. The modeling that was used in this study was QSAR classification. The QSAR classification model predicted active and inactive compounds in Acetylcholinesterase inhibitors. There were 3809 inhibitors which consisted of 2215 active inhibitors and 1594 inactive inhibitors. They were labeled using fingerprints as descriptors. This study compared the performances of MLP and DNN in the classification. The result of this study showed DNN had better accuracy of 0.841 in classification.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134331961","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

Application of Cuk Converter for Capacitor-Less Electrolytic on the Light-Emitting Diode Driver with Artificial Neural Network 基于人工神经网络的无电容电解Cuk变换器在发光二极管驱动器中的应用

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466086

Muhammad Aryosandi, Eka Prasetyono, D. O. Anggriawan

引用次数: 0