2017 International Conference on Electrical, Electronics and System Engineering (ICEESE)最新文献

Weed classification using one class support vector machine 用一类支持向量机进行杂草分类

2017 International Conference on Electrical, Electronics and System Engineering (ICEESE) Pub Date : 2017-11-01 DOI: 10.1109/ICEESE.2017.8298404

S. Shahbudin, M. Zamri, M. Kassim, S. Abdullah, S. I. Suliman

引用次数: 11

Modeling and flood control mapping (Case study : Surakarta city Indonesia) 建模和防洪制图(以印度尼西亚苏拉arta市为例)

2017 International Conference on Electrical, Electronics and System Engineering (ICEESE) Pub Date : 2017-11-01 DOI: 10.1109/ICEESE.2017.8298396

Yusuf Sutanto, V. T. Purwantini

{"title":"Modeling and flood control mapping (Case study : Surakarta city Indonesia)","authors":"Yusuf Sutanto, V. T. Purwantini","doi":"10.1109/ICEESE.2017.8298396","DOIUrl":"https://doi.org/10.1109/ICEESE.2017.8298396","url":null,"abstract":"Flood is a natural disaster that can occur in a region within a country. Some things can cause flooding, for example: high rainfall, blockage of drainage, improper environmental damage, insufficient water pump capacity in flood prone areas, and so on. Flood disaster will result in the loss of an area both material and immaterial losses. Therefore, several things can be done to minimize the incidence of flooding. Surakarta region is located in the lowlands at 105m above sea level and in the city center 95m above sea level, with an area of 44.1 square km (0.14 percent of Central Java area). The highest rainfall is 560mm, while the average rainfall during the rainy day is 22 mm on that day. Land elevation in downtown is lower than suburban Surakarta, therefore it is necessary to model water drainage to know water movement in Surakarta area. Of course this system must be accompanied by accurate information, appropriate early flood handling, and good water management engineering to minimize flooding. The method used to create water channel mapping model using MASIM method approach (Material Simulation). This research modeled and observed the process through simulation. The objectives of this research are: 1) to know the result of the flooded flood model based on the assessment of the main parameters covering rainfall, water flow discharge, and regional drainage capacity, 2) identifying the distribution of potential flood inundation, 3) evaluating the existing drainage management. The discovery of this study is a new model in controlling water flow.","PeriodicalId":433341,"journal":{"name":"2017 International Conference on Electrical, Electronics and System Engineering (ICEESE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128602574","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

IoT implementation for indoor vertical farming watering system 室内垂直农业灌溉系统的物联网实现

2017 International Conference on Electrical, Electronics and System Engineering (ICEESE) Pub Date : 2017-11-01 DOI: 10.1109/ICEESE.2017.8298388

Muhammad Ikhwan Hanif bin Ismail, N. M. Thamrin

{"title":"IoT implementation for indoor vertical farming watering system","authors":"Muhammad Ikhwan Hanif bin Ismail, N. M. Thamrin","doi":"10.1109/ICEESE.2017.8298388","DOIUrl":"https://doi.org/10.1109/ICEESE.2017.8298388","url":null,"abstract":"Vertical farming is the practice of planting the plants in vertically stacked layers which optimize the land usage as it can be implemented in an indoor environment. The main idea of vertical farming is to use a controlled-environment agriculture (CEA) technology, where all environmental factors can be controlled. Therefore, in this project, an automatic system, which consists of the Internet of Thing [IoT] is implemented in providing the controlled environment for the vertical farming. The main purpose of this project is to build a system to monitor the soil moisture and to control water content through the web browser on the laptop, mobile phone and other handheld and compact devices. In this project, a soil moisture sensor is used to detect the moisture or water content of the soil in the vertical farm so that the plant can be consecutively monitored and controlled to have enough water. When low moisture level is detected, the signals are sent to the Arduino platform. Then, the data is stored eventually in the Arduino IDE software and simultaneously sent to the web browser through the Ethernet that is connected to the internet router. The user can monitor their plant through the web browser that allows them to read the status of the soil moisture and can control the water valve to release the water to the plant whenever the reading is low or necessary. With this development, the monitoring of the vertical farming has been so helpful and the growth of the plant can be supervised from time to time without having the operator at the event.","PeriodicalId":433341,"journal":{"name":"2017 International Conference on Electrical, Electronics and System Engineering (ICEESE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124587288","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: 40

Optimization of piezoelectric transducer placement in shoe insole for energy harvesting 用于能量收集的鞋垫压电换能器位置优化

2017 International Conference on Electrical, Electronics and System Engineering (ICEESE) Pub Date : 2017-11-01 DOI: 10.1109/ICEESE.2017.8298406

J. Johari, Tuan Muhammad Afif Tuan Rashid

{"title":"Optimization of piezoelectric transducer placement in shoe insole for energy harvesting","authors":"J. Johari, Tuan Muhammad Afif Tuan Rashid","doi":"10.1109/ICEESE.2017.8298406","DOIUrl":"https://doi.org/10.1109/ICEESE.2017.8298406","url":null,"abstract":"The technological advancement in today's world has made the world more dependent onto the technology thus increasing the demand for more power and energy. This directly caused the world to desperately find another way to produce energy as the world current main energy source has depleted. This paper focused on piezoelectric disk especially piezoelectric transducers as it is said to be the most effective in converting mechanical vibrations to into electrical energy. Pressure was applied onto the disk and it will then convert into an electrical output (voltage). The material that behaves in such a way is also known as piezoelectric sensor. The voltage produced by the transducer can easily be assessed by voltage measuring instruments that can be used to measure stresses or forces. The physical quantity like mechanical stress or force cannot be measured directly. Therefore, piezoelectric transducer can be used. First step in doing this research is to find the placement with the highest pressure point on the insole. After thorough research, two places with the highest pressure point were found which is at the front and back of the insole. After that, a small circuit was developed to get the data for the research. The circuit which includes a rectifier as an ACDC converter that converts AC to DC to be charged to the battery. From the output, data were taken and converted into joules which are then converted again into steps.","PeriodicalId":433341,"journal":{"name":"2017 International Conference on Electrical, Electronics and System Engineering (ICEESE)","volume":"14 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125713695","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: 9

An automated multimodal white matter hyperintensity identification for MRI images using image processing 基于图像处理的MRI图像自动多模态白质高强度识别

2017 International Conference on Electrical, Electronics and System Engineering (ICEESE) Pub Date : 2017-11-01 DOI: 10.1109/ICEESE.2017.8298386

I. Isa, S. N. Sulaiman, N. Tahir, M. F. Abdullah, Z. H. C. Soh, M. Mustapha, N. Karim

{"title":"An automated multimodal white matter hyperintensity identification for MRI images using image processing","authors":"I. Isa, S. N. Sulaiman, N. Tahir, M. F. Abdullah, Z. H. C. Soh, M. Mustapha, N. Karim","doi":"10.1109/ICEESE.2017.8298386","DOIUrl":"https://doi.org/10.1109/ICEESE.2017.8298386","url":null,"abstract":"White matter hyperintensities (WMH) are small regions of high signal intensity that are observable on the white matter region of the brain through magnetic resonance imaging images. Generally, the medical expert conducts a white matter hyperintensities analysis to investigate brain tissue abnormality using manual or semi-automatic methods. However, those methods are prone to error and they establish unreliable results as different in rating scales. In this paper, a fully automatic method is proposed to identify WMH using the multimodal technique which combining image segmentation and enhancement. This method is introduced as an unsupervised method to automatically segment WMH on MRI images of T2-weighted and FLAIR sequences. Subsequently, the processed sequences are integrated by overlying the mapping images in order to map the most precise WMH regions. The accuracy of the WMH regions identification is assessed through the similarity index between automated and manual approach. The experimental results show that the proposed method has achieved significant results to detect exact WMH area. The proposed method is suitable to be implemented in analyzing white matter hyperintensities identification and it may serves as a computer-aided tool for radiologists.","PeriodicalId":433341,"journal":{"name":"2017 International Conference on Electrical, Electronics and System Engineering (ICEESE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130452239","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

Regional islanding detection method of large-scale grid-connected distributed photovoltaic power 大规模并网分布式光伏电站区域孤岛检测方法

2017 International Conference on Electrical, Electronics and System Engineering (ICEESE) Pub Date : 2017-11-01 DOI: 10.1109/ICEESE.2017.8298393

Xiaoyu Chen, Jianyong Zheng, Jun Mei

引用次数: 2

Tempering color classification via artificial neural network (ANN): An intelligent system approach to steel thermography 基于人工神经网络(ANN)的回火颜色分类:一种钢热成像的智能系统方法

2017 International Conference on Electrical, Electronics and System Engineering (ICEESE) Pub Date : 2017-11-01 DOI: 10.1109/ICEESE.2017.8298387

E. A. Cotoco, Delfin Enrique G. Lindo, R. Baldovino, E. Dadios

{"title":"Tempering color classification via artificial neural network (ANN): An intelligent system approach to steel thermography","authors":"E. A. Cotoco, Delfin Enrique G. Lindo, R. Baldovino, E. Dadios","doi":"10.1109/ICEESE.2017.8298387","DOIUrl":"https://doi.org/10.1109/ICEESE.2017.8298387","url":null,"abstract":"In our modern society, the steel industry is a critical component to achieve economic growth and development especially in the infrastructure and manufacturing industries. However, steel production is not just an easy step process. Untempered steel, though hard, is too brittle to be useful for most applications. In order to enhance its properties, the application of heat treatment is performed to steel. Heat treatment is a meticulously sensitive and an extremely tedious process due to temperature sensing. Nowadays, the common way to determine the temperature of a certain metal is through the use of human vision or a thermal imaging camera. However, these methods are either inaccurate or very expensive to setup. In this study, the application of artificial neural networks (ANN) in assessing the steel discoloration when it undergoes extreme temperatures is a cheaper and more accurate way of reading or sensing its temperature. The use of neural network technology can easily adapt to classify a wide range of discoloration from different metals especially steel.","PeriodicalId":433341,"journal":{"name":"2017 International Conference on Electrical, Electronics and System Engineering (ICEESE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129567550","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: 4

Development of automatic chicken feeder using Arduino Uno 基于Arduino Uno的自动喂鸡机开发

2017 International Conference on Electrical, Electronics and System Engineering (ICEESE) Pub Date : 2017-11-01 DOI: 10.1109/ICEESE.2017.8298402

Z. H. C. Soh, M. H. Ismail, Firzana H. Otthaman, M. K. Safie, Muhamad A. A. Zukri, S. Abdullah

{"title":"Development of automatic chicken feeder using Arduino Uno","authors":"Z. H. C. Soh, M. H. Ismail, Firzana H. Otthaman, M. K. Safie, Muhamad A. A. Zukri, S. Abdullah","doi":"10.1109/ICEESE.2017.8298402","DOIUrl":"https://doi.org/10.1109/ICEESE.2017.8298402","url":null,"abstract":"Nowadays, chicken poultry industry is an important industry for sustainable food supply in our country. Several innovation and invention have been developed to improve the healthiness of chicken in coop that lead to possibly high production of chicken meat and eggs. Consequently, the development of an automatic chicken feeding machine can be very useful to the growth of the poultry industry. This machine can replace the worker for feeding the chicken thus overcome the labour problems in the industry and introduce a semi-automatic process in the poultry industry. The feeding machine for chicken is using an Arduino Uno board as its main controller. In this machine, it has two main parts, first, an Arduino to control servomotor from storage to food container, and the second part is an Arduino to control the temperature sensor for the freshness of the chicken food. This helps to improve the environment in the coop while reducing labor cost, saving food and chicken feeding on time, control the temperature sensor for the freshness of the chicken food and avoid contaminated food from chicken faeces and insects.","PeriodicalId":433341,"journal":{"name":"2017 International Conference on Electrical, Electronics and System Engineering (ICEESE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127162978","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: 15

Bridge structure type micro hydropower-generating system and local region implementation 桥构式微型水力发电系统及局部实施

2017 International Conference on Electrical, Electronics and System Engineering (ICEESE) Pub Date : 2017-11-01 DOI: 10.1109/ICEESE.2017.8298392

N. Naoe, A. Imazawa, K. Takehisa, Shigeki Nakamura

引用次数: 0

An open-architecture humanoid robot controller in support of developmental disability (DD) rehabilitation 一种支持发展性残疾(DD)康复的开放式结构人形机器人控制器

2017 International Conference on Electrical, Electronics and System Engineering (ICEESE) Pub Date : 2017-11-01 DOI: 10.1109/ICEESE.2017.8298400

Aqilah Zainuddin, Badar Ali, M. M. Zan, Rugayah Hashim, H. Hashim

{"title":"An open-architecture humanoid robot controller in support of developmental disability (DD) rehabilitation","authors":"Aqilah Zainuddin, Badar Ali, M. M. Zan, Rugayah Hashim, H. Hashim","doi":"10.1109/ICEESE.2017.8298400","DOIUrl":"https://doi.org/10.1109/ICEESE.2017.8298400","url":null,"abstract":"The development of open-architecture humanoid robot controller for developmental disability (DD) rehabilitation, substituting the manufacturer controller is presented. This proposed architecture controller is made open to provide the knowledge of all the control structures as well as allow the developers to modify all the controller layers. The proposed open-architecture controller has four important layers, which are Task Layer, Integration Layer, Communication Layer and Physical Layer which will be explained further in this paper. The open-architecture controller was developed with a Raspberry Pi 2 using Python programming language along with other additional modules and peripherals to increase the robot's performance. A serial communication circuit is constructed to create the communication bridge between the humanoid robot's motors and proposed controller. The experimental results showed that the proposed open-architecture controller presented several advantages over the conventional controller. Despite that, further research works are necessary since the open-architecture humanoid robot controller is yet an on-going project in producing a robust open-architecture controller which consequently will further enhance the humanoid robot development and performance.","PeriodicalId":433341,"journal":{"name":"2017 International Conference on Electrical, Electronics and System Engineering (ICEESE)","volume":"130 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125784686","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