Ayad Al-Mahturi, Fendy Santoso, M. Garratt, S. Anavatti
{"title":"A Robust Adaptive Interval Type-2 Fuzzy Control for Autonomous Underwater Vehicles","authors":"Ayad Al-Mahturi, Fendy Santoso, M. Garratt, S. Anavatti","doi":"10.1109/ICIAICT.2019.8784855","DOIUrl":"https://doi.org/10.1109/ICIAICT.2019.8784855","url":null,"abstract":"Autonomous Underwater Vehicles (AUVs) have attracted a lot of interest in recent years as a tool to perform various underwater tasks in both civilian and military sectors. As AUVs' dynamics are highly nonlinear, complex, and time-varying, several studies have been conducted to develop an adaptive control based on the intelligent control techniques. This paper proposes an adaptive interval type-2 fuzzy controller (AIT2FC) for an AUV. An AIT2FC is designed to control the position of the vehicle in the XY and XZ planes, namely, surge, pitch, and yaw motions. The adaptation law of the interval type-2 fuzzy consequent parameters is derived based on the sliding mode control (SMC) theory. The adaptive fuzzy controller has been implemented successfully in an AUV to reach the desired trajectory. Simulation results show that better performance was achieved using AIT2FC compared to a fixed fuzzy controller. The robustness of the proposed controller was investigated against external disturbances.","PeriodicalId":277919,"journal":{"name":"2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128509289","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}
C. Apriono, Intan Nurfitri, A. P. Aji, E. Rahardjo
{"title":"Geometrical Parameterization of Bowtie Terahertz Receiver Antenna Connected with Conductor Bar as Bolometer","authors":"C. Apriono, Intan Nurfitri, A. P. Aji, E. Rahardjo","doi":"10.1109/ICIAICT.2019.8784787","DOIUrl":"https://doi.org/10.1109/ICIAICT.2019.8784787","url":null,"abstract":"Terahertz (THz) imaging technology has rapidly developed in recent years. Its significant advantages over old imaging technologies such as X-Ray and microwave enables it for future imaging technology. THz imaging offers promising applications in the field of security and medical, such as concealed weapon scanner and cancer detectors. A THz wave detector as one of the main elements in THz technology is necessary to absorb energy radiated from the source. The impedance parameter is a parameter that should be in a matching condition between the receiver antenna and its connected transmission line or another component. In this paper, we study an antenna-coupled bolometer design as a detector of 1 THz radiation wave. The combination of a bolometer and an antenna is expected to provide a THz wave sensor in room temperature. A bowtie antenna structure is applied to achieve 1 THz frequency radiation to obtain broad bandwidth. The surface current parameter is considered to represent energy transfer and collection in the bolometer. From the simulation results, the surface current in the bolometer part is affected by its dimension. The surface current in the bolometer has its peak value at the boundary between the antenna and the bolometer. This condition is due to mismatching condition between the two components. Therefore, the impedance should be in matching condition between the bolometer and bowtie antenna to obtain sufficient energy transferred into the bolometer. Thus, the bolometer design should meet the required impedance matching. Further study on different conductivity of different materials is also necessary to obtain desired bolometer impedance.","PeriodicalId":277919,"journal":{"name":"2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115709815","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}
{"title":"K-Nearest Neighbour Classification and Feature Extraction GLCM for Identification of Terry's Nail","authors":"Laura Safira, Budhi Irawan, C. Setianingsih","doi":"10.1109/ICIAICT.2019.8784856","DOIUrl":"https://doi.org/10.1109/ICIAICT.2019.8784856","url":null,"abstract":"Nails have a function or role that is very important to protect the soft fingertips and have a lot of nerves. In the medical world, several expert systems have begun to be used in helping doctors to diagnose a disease. This research was to detect abnormalities of the nails, Terry's nail. The textural characteristics are processed with grey level co-occurrence matrix (GLCM) and classifying method using KNN. The dataset in this study is taken from Google and also some of the paper that discusses the nail abnormalities. Nail pictures obtained are different from any source. Therefore, the image should be cut just one finger. Because when detecting terry's nail, the disorder usually occurs in all the nails. So we can use one finger. The photos of a nail that has been doing the extraction characteristics using GLCM then will be done using KNN classification. In this case the class will be divided into two classes, healthy and Terry's. From the experiment that have been done, the best accuracy results are 70.93% with 60–40 partition of dataset, $mathbf{K}=mathbf{1}$, light intensity values of 100–500 lux, a distance of 15 cm and an angle of 0°.","PeriodicalId":277919,"journal":{"name":"2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123928086","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}
{"title":"Dynamics of a Ship-Mounted Two-DoF Manipulator Case: Effect of Sea State to the Manipulator Joint Torque","authors":"E. Yazid, A. Nugraha, H. Saputra, Rahmat","doi":"10.1109/ICIAICT.2019.8784860","DOIUrl":"https://doi.org/10.1109/ICIAICT.2019.8784860","url":null,"abstract":"In this paper, a dynamic model of a ship-mounted two-DoF manipulator subject to the motions of ship itself imparted by unidirectional long-crested random sea waves in heading sea is proposed. Equations of motions are derived using the recursive Newton-Euler (RNE) equation. All ship motions namely surge, heave, sway, roll, pitch and yaw motions are considered as the disturbances in exciting the mounted manipulator. Simulation results reveal that the torque of every joint of the manipulator increases when the sea state increases nonlinearly and the necessity for robust control methods for the suppression is absolutely required.","PeriodicalId":277919,"journal":{"name":"2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"4 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129392408","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}
{"title":"Cover Page","authors":"R. Blackwell","doi":"10.1109/ICIAICT.2019.8784840","DOIUrl":"https://doi.org/10.1109/ICIAICT.2019.8784840","url":null,"abstract":"Cover Page","PeriodicalId":277919,"journal":{"name":"2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130545696","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}
{"title":"Automated Testing Framework for Geographical Distributed Testing Environment","authors":"Xiaolong Liu, Apua Juan, Riqing Chen, S. Yuan","doi":"10.1109/ICIAICT.2019.8784838","DOIUrl":"https://doi.org/10.1109/ICIAICT.2019.8784838","url":null,"abstract":"Automated testing is critical for the complex products development and manufacture. In generally, connecting multiple test environments in geographical distributed environment to share resources is a way to reduce cost. However, it conflicts with the principle of “keep test environment clean”. Moreover, high latency between geographical different networks may impact origin automated test activities in reality. In this paper, we propose an automated testing framework for geographical distributed testing environment to solve the problems of sharing resources. In the proposed framework, improved Test Harness (TH) and integrated Test as a Service (TaaS) are proposed to assure automated testing flow and guarantee test integrity. The proposed framework may not impact origin automated test activities, which could reduce the cost of test activities in really. In addition, a basic implementation of Test Harness and TaaS Console in the proposed framework are presented in this paper.","PeriodicalId":277919,"journal":{"name":"2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121971317","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}