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4th International Conference on engineering, Applied Sciences and Technology, ICEAST 2018

作者： Janphuang, Pattanaphong Laebua, Mongkhol Sriphung, Chanwut Taweewat, Phatsakon Sirichalarmkul, Anan Sukjantha, Kasiphisan Promsawat, Napatporn Leuasoongnoen, Pimchanok Suphachiaraphan, Somphong Phimol, Kantapon Isarakorn, Don Tancharakorn, Somchai 111 Moo 6 University Avenue Muang District Nakhon Ratchasima30000 Thailand Thai-German Institute 700/1 Moo 1 Amata Nakorn Industrial Estate Klongtamru Muang District Chonburi20000 Thailand Department of Instrumentation and Control Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok10520 Thailand

This paper presents the development of a polymer based microneedle patch for transdermal drug delivery application using plastic microinjection moulding. Design and analysis of the microneedle cavities and mould insert used in the injection moulding process were carried out using Computer-Aided engineering (CAE) software. A mould insert with low surface roughness was fabricated using Micro Electrical Discharge Machining (μ-EDM). The injection moulding parameters including clamping force, temperature, injection pressure and velocity were characterized in order to obtain the optimum reproducibility. Solid truncated cone microneedles, made of biocompatible polymethyl methacrylate (PMMA), with a round tip radius of 50 μm and 500 μm in height have been realized by microinjection moulding process demonstrating the potential of a low cost, high production efficiency, and suitable for mass production. In addition, a mould insert of cylindrical microneedles fabricated using X-ray LIGA has been proposed. © The Authors, published by EDP Sciences, 2018.

关键词： Surface roughness

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A Decade of Soft Computing Approaches in Power system Investment Planning

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Journal of Physics: Conference Series 2021年第1期1878卷

作者： S B Yaakob A S F Rahman N M Mukhtar M N Yaakob N Arbaiy P-C Lin Control System Group (CSG) Faculty of Electrical Engineering Technology Universiti Malaysia Perlis Kampus Alam UniMAP Pauh Putra 02600 Arau Perlis Malaysia Institut Pendidikan Guru Malaysia Kampus Darul Aman Bandar Darul Aman Kedah 06000 Jitra Kedah Malaysia Faculty of Computer Science and Information Technology University Tun Hussein Onn Malaysia 86400 Batu Pahat Johor Malaysia Department of Information Engineering and Computer Science Feng Chia University No. 100 Wenhwa Rd. Seatwen Taichung 40724 Taiwan

This paper opens up an issue regarding to power system investment planning. In order to obtain a sustainable electricity supply, the power outage should be minimized. Maintenance cost plays as an essential element in investment planning, therefore misdirect investment should be avoided. Since soft computing can solved this problem, this paper offers a review in solving investment planning problem through such approaches. The main objective of this paper is to examine the concept and findings by the researchers in power system investment planning problem. Besides, this paper will highlight the most relevant contributions and limitations that can be improve in the other research. Finally, this paper will be pointed out some trends in power system investment planning problem.

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Soft-Sensing Estimation of Optical Density for PHA Production Using Multilayer Perceptron Neural Network

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Journal of Physics: Conference Series 2020年第1期1532卷

作者： Nor Hana Mamat Samsul Bahari Mohd Noor Azura Che Soh Farah Saleena Taip Ahmad Hazri Ab. Rashid Nur Liyana Jufika Ahmad Ishak Mohd Yusof Adida Zuraida Mohamad Control System and Signal Processing Research Centre Department of Electrical & Electronic Engineering Faculty of Engineering Universiti Putra Malaysia 43400 UPM Serdang Selangor. Faculty of Electrical and Automation Engineering Technology TATI University College Teluk Kalong 24000 Kemaman Terengganu. Food and Process Department Faculty of Engineering Universiti Putra Malaysia 43400 UPM Serdang Selangor. Industrial Biotechnology Research Centre SIRIM Berhad Persiaran Dato' Menteri Seksyen 2 40700 Shah Alam Selangor.

Biomass concentration is an important indicator of production rate in polyhydroxyalkanoates (PHA) fermentation process. In current practice, measurement of biomass concentration is done off-line by laboratory analysis that is unsuitable for online process monitoring and control. Soft-sensor is often used as an alternative that provides an estimate of hard to measure parameters from easy to measure process data. However, most of these studies use simulated data or data generated from mathematical model that was developed without full consideration of process and measurement uncertainty. In this study, a soft-sensor is developed from real production data for PHA fermentation in pilot-scale bioreactor with the appropriate data pre-processing techniques applied to process data that was obtained from this system. Multilayer perceptron (MLP) neural network is used to estimate biomass concentration using secondary process parameters such as dissolved oxygen (DO), temperature, pH and agitation speed as inputs. Different models are developed based on different batches of production data and various network architecture in order to study the appropriate integration of process data and network topology that gives the best model accuracy. Results indicate that the biomass soft-sensor developed using MLP-ANN provides a better estimate of biomass in comparison to radial basis function (RBF) neural network and support vector regression (SVR) methods. The developed soft-sensor can be further used in monitoring and control of production output.

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Tracking control for an autonomous airship based on neural dynamics model with the basktepping technique and a robust sliding mode control

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International Journal of Circuits, systems and Signal Processing 2018年 12卷 505-513页

作者： Tami, Y. Melbous, A. Guessoum, A. Department of Electrical Engineering Faculty of Technology University of Medea Algeria Laboratory of Electric System and Remote Control Electronic Department University Saad Dahleb Blida Algeria

This paper presents a control approach hybrid for trajectory tracking of an autonomous airship. An integrated backstepping and sliding mode tracking control algorithm is developed for four dimensional tracking controls of an autonomous airship vehicles (AAV). First, a kinematic controller based on Neural Dynamics model with the Basktepping technique is integrated together with the dynamic controller uses a sliding mode control. In the traditional Backstepping method, speed jump occurs if the tracking error changes suddenly. The application of the biologically inspired model is designed to smooth the virtual velocity controller output, avoid speed jumps of autonomous airship vehicles in the large initial errors. Computer simulation results illustrate the effectiveness and efficiency of the control strategy proposed controller. © 2018, North Atlantic University Union. All rights reserved.

关键词： Sliding mode control

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Detection of Foreign Bodies in Roasted Coffee by using Active Thermography

Detection of Foreign Bodies in Roasted Coffee by using Activ...

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2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017

作者： Ngoensod, A. Nunak, N. Suesut, T. Department of Instrumentation and Control Engineering Faculty of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok10520 Thailand Department of Food Engineering Faculty of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok10520 Thailand Department of Instrumentation and Control Engineering Faculty of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok10520 Thailand

ISBN: (纸本)9789881404732

This paper presents the detection of foreign bodies in roasted coffee by using active thermography with real-time thermal image processing. Foreign bodies, including stone, wood, etc., are found in roasted coffee beans contaminated during drying process and transportation. The principle of radiation from objects with different emissivity and heat capacity is applied. The heat radiation from the roasted coffee and the foreign body are different;therefore, the thermal image can be used to identify the foreign objects. The active thermography system consists of a thermal image camera and computer image processing, heat source and conveyor system controlled by programmable logic controller. The testing and experimental results of the proposed system show that the foreign bodies in roasted coffee beans can be found in all batches, however, the number counting of foreign objects are inaccurate.

关键词： Specific heat

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Short term electric load forecast with artificial neural networks

arXiv

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arXiv 2018年

作者： Cristian, Vasar Iosif, Szeidert Ioan, Filip Gabriela, Prostean Department of Control System Engineering Politehnica' University from Timisoara Faculty of Automation and Computer Science Timisoara300223 Romania

This paper presents issues regarding short term electric load forecasting using feedforward and Elman recurrent neural networks. The study cases were developed using measured data representing electrical energy consume from Banat area. There were considered 35 different types of structure for both feedforward and recurrent network cases. For each type of neural network structure were performed many trainings and best solution was selected. The issue of forecasting the load on short term is essential in the effective energetic consume management in an open market environment. Copyright © 2007 IFAC Copyright © 2018, The Authors. All rights reserved.

关键词： Electric load forecasting

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Blind users' assistive technology based on the Android platform

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International Journal of Innovative Computing and Applications 2017年第3期8卷 162-171页

作者： Al-Nabulsi, Jamal Ma'touq, Jumana Abdallah, Emad E. Haloubi, Tarek Manasra, Ali Biomedical Engineering Department Faculty of Engineering Hashemite University Jordan Al-Ahliyya Amman University Amman19328 Jordan Institute of Automatic Control Leibniz Universität Hannover Germany Department of Computer Information System Faculty of Information Technology Hashemite University Jordan Biomedical Engineering Department Faculty of Engineering Al-Ahliyya Amman University Jordan

Because of the wide use of smartphones in our daily activities, a wide range of mobile applications have been developed to serve as assistive technologies. However, there is a lack of applications in the Arabic language to assist disabled people. The main aim of this paper is to build a simple yet accurate Arabic language application that is capable of helping blind users in real-Time. In the proposed technology, the blind user captures a photo and records his/her voice inquiry. The query is instantly sent with the captured photo to a set of volunteers. The volunteers answer the blind user enquiries and send the answers back. Fifteen visually impaired persons and ten volunteers were used in the experimental testing. The scenarios were carefully created based on realistic situations. The subjects were then asked to answer a questionnaire to test if their queries were answered effectively and efficiently. The early results are promising because all blind users found the proposed technology useful and 80% of them wanted to use it on a daily basis. In addition, all volunteers found the application easy to use with clear instructions and 80% of them were excited about using it to assist blind users. Copyright © 2017 Inderscience Enterprises Ltd.

关键词： Mobile computing

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A High Speed Autofocusing system for Micro system Applications

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Journal of Electronic Science and Technology 2016年第1期14卷 73-79页

作者： Phuchong Sripolsaen Pradit Mittrapiyanuruk Pakorn Keawtrakulpong the Deptartment of Control System and Instrumentation Engineering Faculty of EngineeringKing Mongkut’s University of Technology Thonburi (KMUTT) the Department of Mathematics Faculty of ScienceSrinakharinwirot University the Department of Control System and Instrumentation Engineering Faculty of EngineeringKMUTT

In this paper,we present a high speed autofocus system for micro system applications and design a look-up-table based autofocusing algorithm for applications when a target object is always visible,e.g.,manufacturing parts with alignment *** perform an evaluation of 24 focus measures to verify that which focus measure is the best for the look-up-table based *** the evaluation,we find that the Chebyshev moments-based focus measure（CHEB） is the most ***,we also develop a look-up-table based autofocus system that uses CHEB as the focus *** training phase,we offline construct a table from training images of an object that are captured at several lens *** entry of table consists of focus measure computed from image and lens *** working phase,given an input image,the algorithm first computes the focus measure and then finds the best match focus measure from the table and looks up the corresponding lens position for moving it into the in-focus *** algorithm can perform autofocusing within only 2 steps of lens *** experiment shows that the system can perform high speed autofocusing of micro objects.

关键词： High speed autofocusing look-up table micro system

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SIL Verification of Safety Instrumented system for Block Valve system in Gas Pipeline by Using Markov Model Methodology

SIL Verification of Safety Instrumented System for Block Val...

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2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017

作者： Kongtong, P. Chitwong, S. Department of Instrumentation and Control Engineering Faculty of Engineering King Mongkut’s Institute of technology Ladkrabang Ladkrabang Bangkok10520 Thailand

ISBN: (纸本)9789881404770

This paper presents about methods for evaluation of safety integrity level (SIL) which is significant to reduce risk of failure of block valve in gas pipeline system by using Markov Model method which refer to International standard IEC 61508/61511. The reason of using Markov Model method is that it takes less time and more flexible than other methods to determine SIL. This method uses a qualitative approach showing Average Probability of Failure (PFDavg) rate data and repairing time from model to implement in further process.

关键词： Degrees of freedom (mechanics)

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Estimation of lactate threshold with machine learning techniques in recreational runners

arXiv

引用

arXiv 2018年

作者： Etxegarai, Urtats Portillo, Eva Irazusta, Jon Arriandiaga, Ander Cabanes, Itziar Department of Automatic Control and System Engineering Faculty of Engineering University of Basque Country BilbaoUPV/EHU Spain Department of Physiology Faculty of Medicine and Nursing University of Basque Country LeioaUPV/EHU Spain

Lactate threshold is considered an essential parameter when assessing performance of elite and recreational runners and prescribing training intensities in endurance sports. However, the measurement of blood lactate concentration requires expensive equipment and the extraction of blood samples, which are inconvenient for frequent monitoring. Furthermore, most recreational runners do not have access to routine assessment of their physical_tness by the aforementioned equipment so they are not able to calculate the lactate threshold without resorting to an expensive and specialized center. Therefore, the main objective of this study is to create an intelligent system capable of estimating the lactate threshold of recreational athletes participating in endurance running sports. The solution here proposed is based on a machine learning system which models the lactate evolution using recurrent neural networks and includes the proposal of standardization of the temporal axis as well as a modi_cation of the strati_ed sampling method. The results show that the proposed system accurately estimates the lactate threshold of 89.52% of the athletes and its correlation with the experimentally measured lactate threshold is very high (R=0,89). Moreover, its behaviour with the test dataset is as good as with the training set, meaning that the generalization power of the model is high. Therefore, in this study a machine learning based system is proposed as alternative to the traditional invasive lactate threshold measurement tests for recreational runners. Copyright © 2018, The Authors. All rights reserved.

关键词： Sports

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