Pub Date : 2018-11-01DOI: 10.1109/ICSAI.2018.8599375
C. R. Haruna, Mengshu Hou, M. J. Eghan, Michael Y. Kpiebaareh, Lawrence Tandoh, Barbie Eghan-Yartel, Maame G. Asante-Mensah
In real world, databases often have several records representing the same entity and these duplicates have no common key, thus making deduplication difficult. Machine-based and crowdsourcing techniques were disjointly used in improving quality in data deduplication. Crowdsourcing were used for solving tasks that the machine-based algorithms were not good at. Though, the crowds, compared with machines, provided relatively more accurate results, both platforms were slow in execution and hence expensive to implement. In this paper, a hybrid human-machine system was proposed where machines were firstly used on the data set before the humans were further used to identify potential duplicates. We performed experiments using three benchmark datasets; paper, restaurant and product datasets. Our algorithm was compared with some existing techniques and our approach outperformed some methods by achieving a high accuracy of deduplication and good deduplication efficiency while incurring low crowdsourcing costs.
{"title":"Cost-Based and Effective Human-Machine Based Data Deduplication Model in Entity Reconciliation","authors":"C. R. Haruna, Mengshu Hou, M. J. Eghan, Michael Y. Kpiebaareh, Lawrence Tandoh, Barbie Eghan-Yartel, Maame G. Asante-Mensah","doi":"10.1109/ICSAI.2018.8599375","DOIUrl":"https://doi.org/10.1109/ICSAI.2018.8599375","url":null,"abstract":"In real world, databases often have several records representing the same entity and these duplicates have no common key, thus making deduplication difficult. Machine-based and crowdsourcing techniques were disjointly used in improving quality in data deduplication. Crowdsourcing were used for solving tasks that the machine-based algorithms were not good at. Though, the crowds, compared with machines, provided relatively more accurate results, both platforms were slow in execution and hence expensive to implement. In this paper, a hybrid human-machine system was proposed where machines were firstly used on the data set before the humans were further used to identify potential duplicates. We performed experiments using three benchmark datasets; paper, restaurant and product datasets. Our algorithm was compared with some existing techniques and our approach outperformed some methods by achieving a high accuracy of deduplication and good deduplication efficiency while incurring low crowdsourcing costs.","PeriodicalId":375852,"journal":{"name":"2018 5th International Conference on Systems and Informatics (ICSAI)","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124435315","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}
Pub Date : 2018-11-01DOI: 10.1109/ICSAI.2018.8599394
Dong-mei Tang, Yan-hua Zeng, Y. Fu, Bo Zhang
The test sieves are widely used, but the calibration of the test sieves have the disadvantages of time consuming, low objectivity and accuracy. In order to solve these problems, the calibration device for test sieves based on image measuring instrument is designed and developed. Firstly, the design idea and principle of the calibration device for the test sieves are introduced. Secondly, the hardware and software system of the calibration device are studied. Finally, the reliability of the calibration device is verified by the stability and comparison experiment. Due to the successful development of this calibration device for test sieves based on image measuring instrument, automatically calibration, high accuracy, improvement of efficiency and reduction of labor intensity are achieved.
{"title":"Calibration Device for Test Sieves Based on Image Measuring Instrument","authors":"Dong-mei Tang, Yan-hua Zeng, Y. Fu, Bo Zhang","doi":"10.1109/ICSAI.2018.8599394","DOIUrl":"https://doi.org/10.1109/ICSAI.2018.8599394","url":null,"abstract":"The test sieves are widely used, but the calibration of the test sieves have the disadvantages of time consuming, low objectivity and accuracy. In order to solve these problems, the calibration device for test sieves based on image measuring instrument is designed and developed. Firstly, the design idea and principle of the calibration device for the test sieves are introduced. Secondly, the hardware and software system of the calibration device are studied. Finally, the reliability of the calibration device is verified by the stability and comparison experiment. Due to the successful development of this calibration device for test sieves based on image measuring instrument, automatically calibration, high accuracy, improvement of efficiency and reduction of labor intensity are achieved.","PeriodicalId":375852,"journal":{"name":"2018 5th International Conference on Systems and Informatics (ICSAI)","volume":"41 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132287524","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}
Pub Date : 2018-11-01DOI: 10.1109/ICSAI.2018.8599457
J. Kalikova, J. Krcál
The article deals with the biometric identification of drivers, using an ear thermogram. Samples are acquired using an IR camera and then further evaluated by an artificial neural network. Input image data is acquired from a standardized distance at 5 different angles and the effect of the settings of the artificial neural network on the result of successful driver identification is studied.
{"title":"Driver Identification Using Ear Biometrics","authors":"J. Kalikova, J. Krcál","doi":"10.1109/ICSAI.2018.8599457","DOIUrl":"https://doi.org/10.1109/ICSAI.2018.8599457","url":null,"abstract":"The article deals with the biometric identification of drivers, using an ear thermogram. Samples are acquired using an IR camera and then further evaluated by an artificial neural network. Input image data is acquired from a standardized distance at 5 different angles and the effect of the settings of the artificial neural network on the result of successful driver identification is studied.","PeriodicalId":375852,"journal":{"name":"2018 5th International Conference on Systems and Informatics (ICSAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130713492","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}
Pub Date : 2018-11-01DOI: 10.1109/ICSAI.2018.8599468
Xiaonan Li, Guoqiang Liu, Shiqiang Li, H. Xia, Yong Wang
This paper reports the design, fabrication and preliminary tests of lab-built probes for microliter-level NMR spectroscopy (Nuclear Magnetic Resonance). The detection is based on the planar microcoils fabricated on glass substrate by MEMS (Micro Electronic Mechanical System) technology with SU-8 photoresist. The measured Q values are about 20 at 63.89 MHz for the microcoils, i.d. $1000 mu $m, wire width $80 mu $m, 7 turns. The characterization of the lab-built microcoil-based probes has been performed in NMR experiments for 4 g/L CuSO4 samples of $200 mu $L. Using the square microcoil fabricated, with the cone-type container the SNR (Signal-to-Noise Ratio) and the Linewidth at 1.5 Tesla is 101.7 and 450.1 Hz, respectively. And with the tube-type container the SNR and the Linewidth is 17 and 229.6 Hz, respectively. It was shown that the resolution degraded about one-hundred percent due to container-introduced distortion on B0 container. On the other hand a good couple of container shape with the profile of B1 will improve the sensitivity. And the resolution could be improved by optimization on the structure of the probe. Towards nano-liter NMR spectroscopy, the sample volume under detection could be reduced further. Honestly to say, the planar microcoil NMR has unsealed the integration with chip-based microfluidics in the emerging world of micro-Total Analysis Systems ($mu $ TAS).
本文报道了微升级核磁共振探针的设计、制造和初步试验。该检测基于基于SU-8光刻胶的MEMS(微电子机械系统)技术在玻璃基板上制作的平面微线圈。在63.89 MHz下，微线圈的测量Q值约为20,i.d $1000 mu $m，线宽$80 mu $m, 7匝。在$200 mu $L的4 g/L CuSO4样品中，对实验室构建的基于微线圈的探针进行了NMR实验。采用锥形容器制作方形微线圈，在1.5特斯拉时信噪比为101.7 Hz，线宽为450.1 Hz。筒型容器的信噪比为17 Hz，线宽为229.6 Hz。结果表明，由于B0容器上的容器引入畸变，分辨率下降了约100%。另一方面，良好的容器形状与B1轮廓的结合将提高灵敏度。通过对探针结构的优化，可以进一步提高探针的分辨率。在纳米升核磁共振光谱中，被测样品的体积可以进一步减小。坦白地说，平面微线圈核磁共振开启了微全分析系统($mu $ TAS)这一新兴领域与基于芯片的微流控技术的整合。
{"title":"Planar-coil-based Micro-detection in Nuclear Magnetic Resonance Spectroscopy","authors":"Xiaonan Li, Guoqiang Liu, Shiqiang Li, H. Xia, Yong Wang","doi":"10.1109/ICSAI.2018.8599468","DOIUrl":"https://doi.org/10.1109/ICSAI.2018.8599468","url":null,"abstract":"This paper reports the design, fabrication and preliminary tests of lab-built probes for microliter-level NMR spectroscopy (Nuclear Magnetic Resonance). The detection is based on the planar microcoils fabricated on glass substrate by MEMS (Micro Electronic Mechanical System) technology with SU-8 photoresist. The measured Q values are about 20 at 63.89 MHz for the microcoils, i.d. $1000 mu $m, wire width $80 mu $m, 7 turns. The characterization of the lab-built microcoil-based probes has been performed in NMR experiments for 4 g/L CuSO4 samples of $200 mu $L. Using the square microcoil fabricated, with the cone-type container the SNR (Signal-to-Noise Ratio) and the Linewidth at 1.5 Tesla is 101.7 and 450.1 Hz, respectively. And with the tube-type container the SNR and the Linewidth is 17 and 229.6 Hz, respectively. It was shown that the resolution degraded about one-hundred percent due to container-introduced distortion on B0 container. On the other hand a good couple of container shape with the profile of B1 will improve the sensitivity. And the resolution could be improved by optimization on the structure of the probe. Towards nano-liter NMR spectroscopy, the sample volume under detection could be reduced further. Honestly to say, the planar microcoil NMR has unsealed the integration with chip-based microfluidics in the emerging world of micro-Total Analysis Systems ($mu $ TAS).","PeriodicalId":375852,"journal":{"name":"2018 5th International Conference on Systems and Informatics (ICSAI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131173595","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}
Pub Date : 2018-11-01DOI: 10.1109/ICSAI.2018.8599334
Jiandun Li, Pin Lv, Chunlei Ji
In today’s e-commercial websites, product reviews written by genuine users are commonly seen, which play a crucial role as customer feedbacks and planting seeds to trigger much more transactions. However, motivated by profits, fake reviews crafted by spammers are inevitable to promote or demote product reputations whereas misguiding potential buyers to make bad decisions. Until recently, the problem how to distinguish whether a review is fraudulent or a reviewer is a spammer has long been studied, but the question of general review pattern mining is still open. In this paper, we model online product review systems into bipartite networks and adopt a network technique, called the weighted motif to uncover underlying reviewing patterns. Experiments on Amazon’s review dataset show that, our system is feasible and effective.
{"title":"Uncover Product Review Patterns via Weighted Motifs","authors":"Jiandun Li, Pin Lv, Chunlei Ji","doi":"10.1109/ICSAI.2018.8599334","DOIUrl":"https://doi.org/10.1109/ICSAI.2018.8599334","url":null,"abstract":"In today’s e-commercial websites, product reviews written by genuine users are commonly seen, which play a crucial role as customer feedbacks and planting seeds to trigger much more transactions. However, motivated by profits, fake reviews crafted by spammers are inevitable to promote or demote product reputations whereas misguiding potential buyers to make bad decisions. Until recently, the problem how to distinguish whether a review is fraudulent or a reviewer is a spammer has long been studied, but the question of general review pattern mining is still open. In this paper, we model online product review systems into bipartite networks and adopt a network technique, called the weighted motif to uncover underlying reviewing patterns. Experiments on Amazon’s review dataset show that, our system is feasible and effective.","PeriodicalId":375852,"journal":{"name":"2018 5th International Conference on Systems and Informatics (ICSAI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128149759","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}
In this paper, variants of Getz-Marsden dynamic system (GMDS) and Zhang neural network (ZNN), i.e., GMDS-ZNN variants, are proposed and discretized by different discretization formulas, i.e., discretized by Euler forward formula, Taylor-Zhang discretization formula and ZD5i (Zhang discretization with 5 instants) formula. In order to investigate the proposed GMDS-ZNN variants, we conduct numerical experiments, As comparisons, conventional dynamic systems GMDSI and GMDS2 (which are proved to have higher precision) are presented. Numerical results show that these discrete GMDS-ZNN variants have fixed error pattern when computing time-dependent complex matrix inverse. The error pattern is confirmed as being proportional to sampling gap.
{"title":"GMDS-ZNN Variants Having Errors Proportional to Sampling Gap as Compared with Models 1 and 2 Having Higher Precision","authors":"Jian Li, Guofu Wu, Chuming Li, Mengling Xiao, Yunong Zhang","doi":"10.1109/ICSAI.2018.8599354","DOIUrl":"https://doi.org/10.1109/ICSAI.2018.8599354","url":null,"abstract":"In this paper, variants of Getz-Marsden dynamic system (GMDS) and Zhang neural network (ZNN), i.e., GMDS-ZNN variants, are proposed and discretized by different discretization formulas, i.e., discretized by Euler forward formula, Taylor-Zhang discretization formula and ZD5i (Zhang discretization with 5 instants) formula. In order to investigate the proposed GMDS-ZNN variants, we conduct numerical experiments, As comparisons, conventional dynamic systems GMDSI and GMDS2 (which are proved to have higher precision) are presented. Numerical results show that these discrete GMDS-ZNN variants have fixed error pattern when computing time-dependent complex matrix inverse. The error pattern is confirmed as being proportional to sampling gap.","PeriodicalId":375852,"journal":{"name":"2018 5th International Conference on Systems and Informatics (ICSAI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131729492","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}
Pub Date : 2018-11-01DOI: 10.1109/ICSAI.2018.8599451
Yunong Zhang, Jinjin Guo, Liu He, Yang Shi, Chaowei Hu
In recent years, Zhang et al. discretization (ZeaD) as a new class of time-discretization methods has been proposed, named and applied by Zhang et al. Note that ZeaD formulas can accurately discretize Zhang neural networks $(mathrm {i}.mathrm {e}.$, ZNN, or say, Zhang dynamics) models as well as ordinary differential equation systems. In previous work, various ZeaD formulas have been presented and unified, including Euler forward formula as 2-instant ZeaD formula that is convergent with a truncation error being proportional to the first power of sampling period and Taylor-type discretization formula as 4-instant ZeaD formula that is convergent with a truncation error being proportional to the second power of sampling period. During our pursuit of ZeaD formulas that are convergent with a higher precision, we discover that there exists no 6-instant ZeaD formula that is convergent with a quartic (ie, biquadratic, of degree 4) or higher precision. The truncation error of any 6-instant ZeaD formula is proportional to the third power of sampling period or bigger. The contributions are theoretically proved in this paper as well.
{"title":"Any ZeaD Formula of Six Instants Having No Quartic or Higher Precision with Proof","authors":"Yunong Zhang, Jinjin Guo, Liu He, Yang Shi, Chaowei Hu","doi":"10.1109/ICSAI.2018.8599451","DOIUrl":"https://doi.org/10.1109/ICSAI.2018.8599451","url":null,"abstract":"In recent years, Zhang et al. discretization (ZeaD) as a new class of time-discretization methods has been proposed, named and applied by Zhang et al. Note that ZeaD formulas can accurately discretize Zhang neural networks $(mathrm {i}.mathrm {e}.$, ZNN, or say, Zhang dynamics) models as well as ordinary differential equation systems. In previous work, various ZeaD formulas have been presented and unified, including Euler forward formula as 2-instant ZeaD formula that is convergent with a truncation error being proportional to the first power of sampling period and Taylor-type discretization formula as 4-instant ZeaD formula that is convergent with a truncation error being proportional to the second power of sampling period. During our pursuit of ZeaD formulas that are convergent with a higher precision, we discover that there exists no 6-instant ZeaD formula that is convergent with a quartic (ie, biquadratic, of degree 4) or higher precision. The truncation error of any 6-instant ZeaD formula is proportional to the third power of sampling period or bigger. The contributions are theoretically proved in this paper as well.","PeriodicalId":375852,"journal":{"name":"2018 5th International Conference on Systems and Informatics (ICSAI)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134253018","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}
Pub Date : 2018-11-01DOI: 10.1109/ICSAI.2018.8599466
Gangmin Li, Jian Gu, Xuming Bai
Cancer plays a leading role in causing morbidity and mortality worldwide. Several treatments have been developed and practiced for fighting against cancer. Totally Implantable Venous Access Port Drug Supply (TIVAPDS) treatment is a new method utilizing Totally Implantable Venous Access Port (TIVAP) delivery method, which is one kind of Intrathecal Drug Delivery System (IDD) with lower side effects, to increase patient’s quality of life. This paper reports our study aiming to evaluate the effectiveness of TIVAPDS treatment in order to make contributions to generalize this treatment in China. Our data samples come from The Second Affiliated Hospital of Suzhou University, a forerunner of TIVAPDS practices in China and with patients’ agreement. The data statistics summary results and the relationships between each two identified attributes are analyzed. Based on the results, 2 predictive models utilizing C4.5 decision tree and logistic regression algorithms are adopted for prediction. The results are used as reference to assess individual treatment cases, so that the effectiveness of the treatment can be achieved and if possible, to improve the efficiency of TIVAPDS treatment.
{"title":"New Cancer Treatment Evaluation through Big Data Analytics","authors":"Gangmin Li, Jian Gu, Xuming Bai","doi":"10.1109/ICSAI.2018.8599466","DOIUrl":"https://doi.org/10.1109/ICSAI.2018.8599466","url":null,"abstract":"Cancer plays a leading role in causing morbidity and mortality worldwide. Several treatments have been developed and practiced for fighting against cancer. Totally Implantable Venous Access Port Drug Supply (TIVAPDS) treatment is a new method utilizing Totally Implantable Venous Access Port (TIVAP) delivery method, which is one kind of Intrathecal Drug Delivery System (IDD) with lower side effects, to increase patient’s quality of life. This paper reports our study aiming to evaluate the effectiveness of TIVAPDS treatment in order to make contributions to generalize this treatment in China. Our data samples come from The Second Affiliated Hospital of Suzhou University, a forerunner of TIVAPDS practices in China and with patients’ agreement. The data statistics summary results and the relationships between each two identified attributes are analyzed. Based on the results, 2 predictive models utilizing C4.5 decision tree and logistic regression algorithms are adopted for prediction. The results are used as reference to assess individual treatment cases, so that the effectiveness of the treatment can be achieved and if possible, to improve the efficiency of TIVAPDS treatment.","PeriodicalId":375852,"journal":{"name":"2018 5th International Conference on Systems and Informatics (ICSAI)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134013266","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}
Pub Date : 2018-11-01DOI: 10.1109/ICSAI.2018.8599404
Quan Li, Wei Wu, Yang Su
There are great breakthroughs in image denoising based on image self-similarity and the introduction of sparse representation and low rank theory. Some state-of-the-art image restoration techniques, including BM3D and SAIST are brought forward and applied to various vision tasks. In this paper, we propose an enhanced SAIST algorithm for image denoising. These improvements are mainly implemented in the following aspects. First, when matching similar blocks, matching results are depended on block distances which affected by noise interference. Thus DCT pre-filtering is introduced before aggregation because it can effectively suppress measurement errors of block distances. Second, the relevance of image patches which affects the singular value thresholding is not considered in sample mean. So a weighted sample mean calculation method is proposed to make the singular value thresholding more adaptive. The experimental results show that this improved algorithm achieves a better performance than the original algorithm in terms of both objective criterion and subjective visual quality.
{"title":"An Enhanced Lowrank Algorithm for Image Denoising","authors":"Quan Li, Wei Wu, Yang Su","doi":"10.1109/ICSAI.2018.8599404","DOIUrl":"https://doi.org/10.1109/ICSAI.2018.8599404","url":null,"abstract":"There are great breakthroughs in image denoising based on image self-similarity and the introduction of sparse representation and low rank theory. Some state-of-the-art image restoration techniques, including BM3D and SAIST are brought forward and applied to various vision tasks. In this paper, we propose an enhanced SAIST algorithm for image denoising. These improvements are mainly implemented in the following aspects. First, when matching similar blocks, matching results are depended on block distances which affected by noise interference. Thus DCT pre-filtering is introduced before aggregation because it can effectively suppress measurement errors of block distances. Second, the relevance of image patches which affects the singular value thresholding is not considered in sample mean. So a weighted sample mean calculation method is proposed to make the singular value thresholding more adaptive. The experimental results show that this improved algorithm achieves a better performance than the original algorithm in terms of both objective criterion and subjective visual quality.","PeriodicalId":375852,"journal":{"name":"2018 5th International Conference on Systems and Informatics (ICSAI)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132322638","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}
Pub Date : 2018-11-01DOI: 10.1109/ICSAI.2018.8599381
Yang Bo
In this paper, using embedded technology, signal processing technology, digital circuit technology and analog circuit technology, and other related technologies, the intelligent and general combustible gas detection system can be designed to detect natural gas, gas, liquefied gas and other combustible gases. The design includes two parts: hardware design and software design. It focuses on the analysis of hardware circuits such as detection, sampling/holding, anti-interference and nonlinear compensation, and introduces the software design of the system. The system design facilitates the expansion of gas detection points and the processing of real-time data. The test results show that the detection precision of the detection system is 0.1% for methane, natural gas and other combustible gases. It has the characteristics of stable detection precision, good linearity, simple circuit and easy to miniaturization.
{"title":"Design of Combustible Gas Concentration Detection System","authors":"Yang Bo","doi":"10.1109/ICSAI.2018.8599381","DOIUrl":"https://doi.org/10.1109/ICSAI.2018.8599381","url":null,"abstract":"In this paper, using embedded technology, signal processing technology, digital circuit technology and analog circuit technology, and other related technologies, the intelligent and general combustible gas detection system can be designed to detect natural gas, gas, liquefied gas and other combustible gases. The design includes two parts: hardware design and software design. It focuses on the analysis of hardware circuits such as detection, sampling/holding, anti-interference and nonlinear compensation, and introduces the software design of the system. The system design facilitates the expansion of gas detection points and the processing of real-time data. The test results show that the detection precision of the detection system is 0.1% for methane, natural gas and other combustible gases. It has the characteristics of stable detection precision, good linearity, simple circuit and easy to miniaturization.","PeriodicalId":375852,"journal":{"name":"2018 5th International Conference on Systems and Informatics (ICSAI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122905717","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}
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