2020 IEEE 8th Conference on Systems, Process and Control (ICSPC)最新文献_第2页

Application of NNARX in Modeling a Solar Radiation Prediction NNARX在模拟太阳辐射预报中的应用

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI: 10.1109/ICSPC50992.2020.9305787

Mohd Rizman Sultan Mohd, J. Johari, F. Ruslan

{"title":"Application of NNARX in Modeling a Solar Radiation Prediction","authors":"Mohd Rizman Sultan Mohd, J. Johari, F. Ruslan","doi":"10.1109/ICSPC50992.2020.9305787","DOIUrl":"https://doi.org/10.1109/ICSPC50992.2020.9305787","url":null,"abstract":"Solar energy defined as a radiant energy which emitted by the sun. Recent trend shows that solar energy had been an alternative power source to generate electricity using photovoltaic system. Solar radiation is the key measurement for this potential solar energy source but with the high cost to build and maintained the infrastructure had embark a new chapter with the implementation of prediction model. Many prediction models had been developed using various method including machine learning method and Artificial Neural Network (ANN) approach. Solar radiation prediction involves various non-linear parameter. That is why, a non-linear ANN method had been used. Non-linear Neural Network Autoregressive Model with Exogenous Input (NNARX) is a dynamic ANN method and had been widely applies to solve a non-linear dynamic time series prediction model. This paper will develop a NNARX to performed solar radiation prediction using both meteorological and measured data parameter for Malaysia. Performance analysis will be carried out using Mean Square Error (MSE) calculation based on actual and predicted data gain from the approach. Based on the result, it is shown that NNARX had given a significant prediction values on solar radiation with lowest MSE value of 0.0116.","PeriodicalId":273439,"journal":{"name":"2020 IEEE 8th Conference on Systems, Process and Control (ICSPC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133624870","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

A Review on Deep Learning and Nondeep Learning Approach for Lane Detection System 车道检测系统中深度学习和非深度学习方法的研究进展

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI: 10.1109/ICSPC50992.2020.9305788

Muhammad Jefri Muril, Nor Hidayati Abdul Aziz, Hadhrami Ab. Ghani, Nor Azlina Ab. Aziz

引用次数: 4

Design and Evaluation of a Wafer-level Probe Solution of High Current Step-down DC-DC Converter for Test Time Reduction, Yield Improvement and Overall Test Cost Reduction 大电流降压DC-DC变换器晶圆级探头解决方案的设计与评估，以缩短测试时间、提高良率和降低整体测试成本

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI: 10.1109/ICSPC50992.2020.9305767

Leda Jane Hilario, Ramon G. Garcia

{"title":"Design and Evaluation of a Wafer-level Probe Solution of High Current Step-down DC-DC Converter for Test Time Reduction, Yield Improvement and Overall Test Cost Reduction","authors":"Leda Jane Hilario, Ramon G. Garcia","doi":"10.1109/ICSPC50992.2020.9305767","DOIUrl":"https://doi.org/10.1109/ICSPC50992.2020.9305767","url":null,"abstract":"For integrated circuits (IC) electrical testing, measurement of high current parameters is usually done on a packaged-level. In this paper, the design and evaluation results of a wafer-level probe solution for a high current step-down DC-DC converter are presented. The full turn-key, hardware and software development of probe solution was implemented. The buck converter used has a device specification maximum of 7 Amperes. Upon the series of experiments and evaluations, the probe wafer with more than 15000 dies has a probe yield of greater than 97%. The average process capability index (Cpk) per main test block is greater than 1.67 for both 200-sample and one-wafer datasets. To add, the basic electrical parameters of a step-down DC-DC converter such as shutdown supply current, Metal Oxide Semiconductor Field Effect Transistor (MOSFET) on resistance and the current limit threshold were tested and measured using an Automatic Test Equipment (ATE), and have readings well within the specification limits. With this wafer-level probe solution, the defects were screened out at an early stage before performing IC assembly processes. Since test coverage is now moved to a wafer-level with minimal coverage on assembled package-level, the solution brought about to 6% test time reduction, and 0.6% improvement on assembled-level test yield, thus reduced the overall test cost.","PeriodicalId":273439,"journal":{"name":"2020 IEEE 8th Conference on Systems, Process and Control (ICSPC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129899455","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

Voice Conversion of Philippine Spoken Languages using Deep Neural Networks 基于深度神经网络的菲律宾口语语音转换

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI: 10.1109/ICSPC50992.2020.9305801

Michael Gian V. Gonzales, C. R. Lucas, M. G. A. Bayona, F. D. de Leon

{"title":"Voice Conversion of Philippine Spoken Languages using Deep Neural Networks","authors":"Michael Gian V. Gonzales, C. R. Lucas, M. G. A. Bayona, F. D. de Leon","doi":"10.1109/ICSPC50992.2020.9305801","DOIUrl":"https://doi.org/10.1109/ICSPC50992.2020.9305801","url":null,"abstract":"Most of the voice conversion systems available have only focused on the spectral parameter of the speech such as the spectral envelope. This project developed a voice conversion system that converts not only the spectral parameters but also the prosodic features of speech, specifically the Wavelet modeling of the F0 contour, to improve the voice quality and naturalness. This system can be used in conjunction with text-to-speech systems to introduce personalization and customization to the speech output. The project was implemented not only in the English language but also in the context of Philippine Spoken Languages such as Tagalog, Hiligaynon and Cebuano. Results show that the English voice conversion yielded the highest score in terms of naturalness with 2.7167 Mean-Opinion Score and Cebuano in terms of intelligibility with 3.0875 Mean-Opinion Score. Using the objective metrics, results show that Hiligaynon has the lowest Mel-Cepstral Distortion with 5.5335 while English yielded the lowest F0:RMSE with 20.254. Results also showed that intra-gender voice conversion performs better than inter-gender.","PeriodicalId":273439,"journal":{"name":"2020 IEEE 8th Conference on Systems, Process and Control (ICSPC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127130339","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

Predicting Sulfur Content of Desulfurizer using Data-Driven based Inferential Measurement: An Ammonia Plant Case 基于数据驱动的推理测量方法预测脱硫剂硫含量——以氨厂为例

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI: 10.1109/ICSPC50992.2020.9305785

Baninda Taufiq Heryuano, Yul Yunazwin Nazaruddin, S. Hadisupadmo

{"title":"Predicting Sulfur Content of Desulfurizer using Data-Driven based Inferential Measurement: An Ammonia Plant Case","authors":"Baninda Taufiq Heryuano, Yul Yunazwin Nazaruddin, S. Hadisupadmo","doi":"10.1109/ICSPC50992.2020.9305785","DOIUrl":"https://doi.org/10.1109/ICSPC50992.2020.9305785","url":null,"abstract":"The parameters of the sulfur content in the process gas of the desulfurizer unit is an important issue for the production process of ammonia (NH3) in the ammonia plant. Due to limited conditions and equipments at the plant, quite often that the measurement of sulfur content is still carried out indirectly (off-line) by sampling and analysis methods in the laboratory, causing significant delays. In this paper, an alternative method to predict the value of sulfur concentration will be proposed using the data-driven based inferential measurement. The sulfur concentration (as primary variable) will be predicted from the available measured data (as secondary data) using neuro-fuzzy based method. In this case, a model representing the desulfurizer unit needs to be reconstructed based on input and output relationships that affect the main variables in the ammonia plant. For verifying the applicability of the proposed method, real-time operational data from a running ammonia plant located in East Kalimantan, Indonesia will be used. After an extensive simulation studies, it is show that the sulfur concentration can be predicted quite successfully, with RMSE value of the designed inferential estimator is 0.003134.","PeriodicalId":273439,"journal":{"name":"2020 IEEE 8th Conference on Systems, Process and Control (ICSPC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126396931","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

Comparison Study of UHF Sensor Modelling Based on 4th Order Hilbert Fractal Category for Partial Discharge Detection in Power Transformer 基于四阶Hilbert分形范畴的UHF传感器建模在电力变压器局部放电检测中的比较研究

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI: 10.1109/ICSPC50992.2020.9305753

N. D. Roslizan, M. Rohani, A. S. Rosmi, B. Ismail, M. A. Jamlos, W. C. Leong, C. M. N. C. Isa, M. Jalil

{"title":"Comparison Study of UHF Sensor Modelling Based on 4th Order Hilbert Fractal Category for Partial Discharge Detection in Power Transformer","authors":"N. D. Roslizan, M. Rohani, A. S. Rosmi, B. Ismail, M. A. Jamlos, W. C. Leong, C. M. N. C. Isa, M. Jalil","doi":"10.1109/ICSPC50992.2020.9305753","DOIUrl":"https://doi.org/10.1109/ICSPC50992.2020.9305753","url":null,"abstract":"PD detection is an effective method of inspecting insulation defects and identifying potential faults in a power transformer. Electromagnetic waves generated due to PD can be detected by ultrahigh-frequency (UHF) sensor in the frequency band greater than 300 MHz. However, the size and the frequency bandwidth of a UHF sensor for PD detection are the concern for practical installation inside a transformer. High sensitivity and wide bandwidth of sensors are needed in order to detect the PD signal at an early stage. This paper presents an array with partial ground 4th order Hilbert fractal UHF sensor for PD detection inside a power transformer. This UHF sensor was modeled to capture PD signal in a range of frequencies between 300 MHz to 3 GHz. The sensor is designed by using CST software where the transmission lines combined 2 sensors become 1 output by setting the dimension of $100 mathrm{x} 200$ mm for length and width with an FR4 epoxy substrate of thickness 1.6 mm. Based on the simulation result, the proposed sensor is obtained a PD signal measurement with a reflection coefficient below -10 dB with $mathbf{VSWR}leqmathbf{5}$. The advantages of this sensor have a wide bandwidth, high sensitivity and suitable size for easy installation. Thus, this sensor has been qualified as UHF PD detection in the power transformer.","PeriodicalId":273439,"journal":{"name":"2020 IEEE 8th Conference on Systems, Process and Control (ICSPC)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116246843","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

Remote Monitoring of Surface Temperature and Moisture Content in Urban Greenhouse 城市温室地表温度和湿度的远程监测

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI: 10.1109/ICSPC50992.2020.9305786

C. Hairu, M. Hanafi, S. M. Shafie, W. F. Fazlil Ilahi, S. Mashohor

{"title":"Remote Monitoring of Surface Temperature and Moisture Content in Urban Greenhouse","authors":"C. Hairu, M. Hanafi, S. M. Shafie, W. F. Fazlil Ilahi, S. Mashohor","doi":"10.1109/ICSPC50992.2020.9305786","DOIUrl":"https://doi.org/10.1109/ICSPC50992.2020.9305786","url":null,"abstract":"Internet of things (IoT) is a system of interrelated computing devices with unique identifiers that has the ability to transfer data over a network without requiring human interaction. In this paper, an IoT based system is proposed for monitoring surface temperature (humidity and temperature) and moisture content inside a low-cost urban greenhouse. The proposed system consists of the integration of hardware and software parts, in which the hardware part includes a microcontroller and multiple sensors. The performance of three various soil moisture sensors when detecting moisture content of various growing media inside a low-cost urban greenhouse is presented as well. The network setup and web page development using the user-friendly Hostinger platform are discussed as well. The proposed system will enable reliable remote monitoring of the surface temperature and moisture content of growing media inside a low-cost urban greenhouse as well as eliminating the need for human intervention. The data collected by sensors can be used for predictive analysis to track the state of the system in general as well as equipment efficiency.","PeriodicalId":273439,"journal":{"name":"2020 IEEE 8th Conference on Systems, Process and Control (ICSPC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126698256","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

Simulation of Electrical Properties of Iron Oxide and Titanium Dioxide - Polypyrrole Nanocomposite for Halal Biosensor 用于清真生物传感器的氧化铁和二氧化钛-聚吡咯纳米复合材料的电性能模拟

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI: 10.1109/ICSPC50992.2020.9305808

Nur Diyana Nadhirah Aminuddin, S. Karman, Ahmad Khairi Abdul Wahab, S. Ibrahim, Noman Nawaz, N. A. Abu Bakar, H. E. Ekramul Mahmud

引用次数: 0

Balancing Data Utility versus Information Loss in Data-Privacy Protection using k-Anonymity 利用k-匿名平衡数据效用与信息丢失的数据隐私保护

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI: 10.1109/ICSPC50992.2020.9305776

Thamer Khalil Esmeel, M. Hasan, M. Kabir, Ahmad Firdaus

{"title":"Balancing Data Utility versus Information Loss in Data-Privacy Protection using k-Anonymity","authors":"Thamer Khalil Esmeel, M. Hasan, M. Kabir, Ahmad Firdaus","doi":"10.1109/ICSPC50992.2020.9305776","DOIUrl":"https://doi.org/10.1109/ICSPC50992.2020.9305776","url":null,"abstract":"Data privacy has been an important area of research in recent years. Dataset often consists of sensitive data fields, exposure of which may jeopardize interests of individuals associated with the data. In order to resolve this issue, privacy techniques can be used to hinder the identification of a person through anonymization of the sensitive data in the dataset to protect sensitive information, while the anonymized dataset can be used by the third parties for analysis purposes without obstruction. In this research, we investigated a privacy technique, k-anonymity for different values of $pmb{k}$ on different number $pmb{c}$ of columns of the dataset. Next, the information loss due to k-anonymity is computed. The anonymized files go through the classification process by some machine-learning algorithms i.e., Naive Bayes, J48 and neural network in order to check a balance between data anonymity and data utility. Based on the classification accuracy, the optimal values of $pmb{k}$ and $pmb{c}$ are obtained, and thus, the optimal $pmb{k}$ and $pmb{c}$ can be used for k-anonymity algorithm to anonymize optimal number of columns of the dataset.","PeriodicalId":273439,"journal":{"name":"2020 IEEE 8th Conference on Systems, Process and Control (ICSPC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123367046","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: 5

Design and Realization of a Nanosatellite for Malaysia SiswaSAT Competition 2020 2020年马来西亚SiswaSAT竞赛纳米卫星的设计与实现

2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) Pub Date : 2020-12-11 DOI: 10.1109/ICSPC50992.2020.9305775

Muhammad Syukri Johari, N. N. Bakar, Mai Nurul Fareesya Mohamad Anuar, Muhammad Saalihaan Zil Kamal, Nur Aqilah Azman Shah, C. Lijun, Kamal Hazim Kamal Bahrin, Hariz Azamuddin Shafie, Mohamad Nurmirza Asyraaf Sulong, M. Okasha

引用次数: 1