Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759897
A. Samad, Azira Mohd Zain, I. Maarof, K. A. Hashim, R. Adnan
The increasingly rapid advances in technology development, approaches to integrate the property market valuation with Geographical Information System (GIS). Application of GIS in Property Valuation field very helpful for property market valuation information to presented in map and table using ArcGIS 9.3 software. It purpose is to facilities the access and searching the information. Before this, information about property using old files and Microsoft Excel but using GIS spatial and attribute data will be shown. To display property market valuations in Google Earth of each category like residential that have divided into two; double storey house and bungalow, commercial and industrial areas, data that are needed such as property data from JPPH, land parcel from JUPEM, and land use from MBSA. From the property market valuation, can determine high or low market value based on attribute data. In visualization, can analysis the factors of highest and lowest market value based on geographic that have been produced using ArcGIS ang Google Earth. After that, the detail analysis also can determine using ArcGIS 9.3 software such as using overlay and proximity analysis tools. From that data, changes of the market value can be determined the increase market value for each categories of property. Analysis of the property market valuation is performed using mathematical software like Microsoft Excel, SPSS and Artificial Neural Networks (ANN) software. Microsoft Excel produces analysis in graph and bar chart of highest and lowest market valuation for each category of property. After that, the changes of the market valuation also can determine. SPSS shows the relationship of property market value with an area. Lastly, using ANN software can predict property market valuation based on algorithms. For prediction property market valuation just not in qualitative factors but can variable in quantitative to make a good analysis for each property categories; residential, commercial and industry.
{"title":"Utilization of Artificial Neural Network and GIS for property market valuation","authors":"A. Samad, Azira Mohd Zain, I. Maarof, K. A. Hashim, R. Adnan","doi":"10.1109/CSPA.2011.5759897","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759897","url":null,"abstract":"The increasingly rapid advances in technology development, approaches to integrate the property market valuation with Geographical Information System (GIS). Application of GIS in Property Valuation field very helpful for property market valuation information to presented in map and table using ArcGIS 9.3 software. It purpose is to facilities the access and searching the information. Before this, information about property using old files and Microsoft Excel but using GIS spatial and attribute data will be shown. To display property market valuations in Google Earth of each category like residential that have divided into two; double storey house and bungalow, commercial and industrial areas, data that are needed such as property data from JPPH, land parcel from JUPEM, and land use from MBSA. From the property market valuation, can determine high or low market value based on attribute data. In visualization, can analysis the factors of highest and lowest market value based on geographic that have been produced using ArcGIS ang Google Earth. After that, the detail analysis also can determine using ArcGIS 9.3 software such as using overlay and proximity analysis tools. From that data, changes of the market value can be determined the increase market value for each categories of property. Analysis of the property market valuation is performed using mathematical software like Microsoft Excel, SPSS and Artificial Neural Networks (ANN) software. Microsoft Excel produces analysis in graph and bar chart of highest and lowest market valuation for each category of property. After that, the changes of the market valuation also can determine. SPSS shows the relationship of property market value with an area. Lastly, using ANN software can predict property market valuation based on algorithms. For prediction property market valuation just not in qualitative factors but can variable in quantitative to make a good analysis for each property categories; residential, commercial and industry.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131953381","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759893
N. A. Rashid, M. Taib, S. Lias, N. Sulaiman
This study highlighted the use of Cluster analysis approach to classify the participants' Learning Style (LS) based on the EEG brain asymmetry (BA) dataset. BA is importance to indicate brain activity in both right hemisphere (RH) and left hemisphere (LH). The RH and LH dominant states are closely related to human learning traits such as Attention, Perception and Emotions. In this research, we determine the LS of 41 participants using Kolb's Learning Style Inventory (LSI). The LSI will group them into the LS of either Diverger, Assimilator, Converger or Accommodator. Simultaneously, their Electroencephalogram (EEG) is recorded from which the BA will be calculated using the Asymmetry Relation Ratio (ARR) formula. The Alpha and Beta Energy Spectral Density (ESD) are used as input for the ARR. Finally, the SPSS 2Steps cluster analysis will be deployed to classify the BA towards the corresponding LS. The result obtained shown that the classification of each LS is achieving 100% accuracy. We also managed to specify the significant state of LH or RH dominant for each LS.
{"title":"Implementation of Cluster analysis for Learning Style classification using brain Asymmetry","authors":"N. A. Rashid, M. Taib, S. Lias, N. Sulaiman","doi":"10.1109/CSPA.2011.5759893","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759893","url":null,"abstract":"This study highlighted the use of Cluster analysis approach to classify the participants' Learning Style (LS) based on the EEG brain asymmetry (BA) dataset. BA is importance to indicate brain activity in both right hemisphere (RH) and left hemisphere (LH). The RH and LH dominant states are closely related to human learning traits such as Attention, Perception and Emotions. In this research, we determine the LS of 41 participants using Kolb's Learning Style Inventory (LSI). The LSI will group them into the LS of either Diverger, Assimilator, Converger or Accommodator. Simultaneously, their Electroencephalogram (EEG) is recorded from which the BA will be calculated using the Asymmetry Relation Ratio (ARR) formula. The Alpha and Beta Energy Spectral Density (ESD) are used as input for the ARR. Finally, the SPSS 2Steps cluster analysis will be deployed to classify the BA towards the corresponding LS. The result obtained shown that the classification of each LS is achieving 100% accuracy. We also managed to specify the significant state of LH or RH dominant for each LS.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132167799","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759931
Mohamad Hanif Md Saad, A. Hussain, Liang Xian Loong, Wan Noor Aziezan Baharuddin, N. Md. Tahir
Event description is a way to objectively describe an event and activity in a video stream in a measurable manner such that it can be processed by computer systems. Event Description Language (EDL) is an event description framework which is used to store and describe objective meaningful event and activity occurring in a video stream. This paper discusses the manual application of one such EDL, the InVISS Event Description Language in annotating actions and events in a video stream. The annotated sequence could later be provided to an activity recognition module for automated recognition of activity in a video stream.
{"title":"Event description from video stream for anomalous human activity and behaviour detection","authors":"Mohamad Hanif Md Saad, A. Hussain, Liang Xian Loong, Wan Noor Aziezan Baharuddin, N. Md. Tahir","doi":"10.1109/CSPA.2011.5759931","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759931","url":null,"abstract":"Event description is a way to objectively describe an event and activity in a video stream in a measurable manner such that it can be processed by computer systems. Event Description Language (EDL) is an event description framework which is used to store and describe objective meaningful event and activity occurring in a video stream. This paper discusses the manual application of one such EDL, the InVISS Event Description Language in annotating actions and events in a video stream. The annotated sequence could later be provided to an activity recognition module for automated recognition of activity in a video stream.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128427402","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759929
A. E. M. Saad, Z. Saad, A. Ahmad, S. Abdullah, F. A. Razak
The purpose of this research is to invent a better method and system, which could eliminate the influencing variables caused by conventional method. All the variables will be constant except the kinds of additives which will be the main theme for comparison, through the retrieval of the signal such as speedometer, odometer, engine revolution and the signal from the electronic control unit (ECU) to electronic fuel injection (EFI). All signals can be displayed online and will be transferred to the mobile computer using a serial communication (RS232). The data will be stored and processed in order to calculate the exact fuel consumption and perform the comparison as well. With this available data, more accurate fuel consumption against traveled distance can be measured even for very short tracks such as the distant of 100 meter at constant vehicle speed. Since the signals are very accurate (fuel consumption signal will be measured in microliter/second (μL/s) and distance (trip) in meter/second (m/s)). The accuracy is in μL as compared to the conventional method which accuracy is measured in liter. That is why the use of this equipment can save time and very accurate to measure fuel consumption among different additives and even to compare the performance in term of time of acceleration.
{"title":"Mileage comparison between RON 95 and RON 97 in constant speed test","authors":"A. E. M. Saad, Z. Saad, A. Ahmad, S. Abdullah, F. A. Razak","doi":"10.1109/CSPA.2011.5759929","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759929","url":null,"abstract":"The purpose of this research is to invent a better method and system, which could eliminate the influencing variables caused by conventional method. All the variables will be constant except the kinds of additives which will be the main theme for comparison, through the retrieval of the signal such as speedometer, odometer, engine revolution and the signal from the electronic control unit (ECU) to electronic fuel injection (EFI). All signals can be displayed online and will be transferred to the mobile computer using a serial communication (RS232). The data will be stored and processed in order to calculate the exact fuel consumption and perform the comparison as well. With this available data, more accurate fuel consumption against traveled distance can be measured even for very short tracks such as the distant of 100 meter at constant vehicle speed. Since the signals are very accurate (fuel consumption signal will be measured in microliter/second (μL/s) and distance (trip) in meter/second (m/s)). The accuracy is in μL as compared to the conventional method which accuracy is measured in liter. That is why the use of this equipment can save time and very accurate to measure fuel consumption among different additives and even to compare the performance in term of time of acceleration.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122288158","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759848
S. Zairi, D. Hazry
This paper describes about adaptive neural controller (ANC) to stabilize an Autonomous Mini Aircraft Quadrotor (AMAC-Q) as Unmanned Aerial Vehicle (UAV) by using Model References Adaptive System (MRAS) as control scheme.
{"title":"Adaptive neural controller implementation in Autonomous Mini Aircraft Quadrotor (AMAC-Q) for attitude control stabilization","authors":"S. Zairi, D. Hazry","doi":"10.1109/CSPA.2011.5759848","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759848","url":null,"abstract":"This paper describes about adaptive neural controller (ANC) to stabilize an Autonomous Mini Aircraft Quadrotor (AMAC-Q) as Unmanned Aerial Vehicle (UAV) by using Model References Adaptive System (MRAS) as control scheme.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129777844","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759845
R. Adnan, A. Samad, M. Mustafa
Hydraulic actuator has been widely used in industrial equipments and processes principally due to its high-power density and system solution that it can provided. The natural nonlinear property of hydraulic cylinder has challenged researchers in designing suitable controller for positioning control, motion control and tracking control. This paper proposes a controller design using trajectory-adaptive ZPETC without factorization of zeros and implementing real-time control to non-minimum phase electro-hydraulic system. Simulation and real-time experimental results were compared and evaluated and they show interesting tracking performances.
{"title":"Real-time control of non-minimum phase electro-hydraulic system using trajectory-adaptive ZPETC","authors":"R. Adnan, A. Samad, M. Mustafa","doi":"10.1109/CSPA.2011.5759845","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759845","url":null,"abstract":"Hydraulic actuator has been widely used in industrial equipments and processes principally due to its high-power density and system solution that it can provided. The natural nonlinear property of hydraulic cylinder has challenged researchers in designing suitable controller for positioning control, motion control and tracking control. This paper proposes a controller design using trajectory-adaptive ZPETC without factorization of zeros and implementing real-time control to non-minimum phase electro-hydraulic system. Simulation and real-time experimental results were compared and evaluated and they show interesting tracking performances.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117297099","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759898
Siti Salwa Md Noor, N. Md. Tahir, Ihsan Ahmad Yassin, A. Samad
Encryption and decryption technique is normally applied for security enhancement namely by hiding data, messages or images. In this paper, encryption and decryption method based on Hill Cipher is implemented in a car park is discussed. The main focus of applying encryption and decryption on the system is to conceal the images of car plate stored in the database. In addition, prevention from attackers on a system and vehicle is also the aimed on implementing the cryptosystem. Results attained proven that the proposed method is apposite with less computational complexity.
{"title":"Cryptosystem for secure parking","authors":"Siti Salwa Md Noor, N. Md. Tahir, Ihsan Ahmad Yassin, A. Samad","doi":"10.1109/CSPA.2011.5759898","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759898","url":null,"abstract":"Encryption and decryption technique is normally applied for security enhancement namely by hiding data, messages or images. In this paper, encryption and decryption method based on Hill Cipher is implemented in a car park is discussed. The main focus of applying encryption and decryption on the system is to conceal the images of car plate stored in the database. In addition, prevention from attackers on a system and vehicle is also the aimed on implementing the cryptosystem. Results attained proven that the proposed method is apposite with less computational complexity.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115387423","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759855
Azmi Mohamed, A. H. Esa, M. A. Ayub
In this paper, a non-contact approach to roundness measurement using machine vision is proposed. A test-rig and computer algorithm are developed to realised the approach. The computer algorithm employs minimum zone circle MZC technique to measure the roundness deviation. High contrast and good quality image segmentation is produced with the developed image processing algorithm technique. Camshaft profile is used to determine the effectiveness of the developed approach. Experimental results reveal that the developed computer algorithm coupled with minimum radial zone circle technique can be used as inspection tool for integrated in-process inspection of form tolerances.
{"title":"Non-contact approach to roundness measurement","authors":"Azmi Mohamed, A. H. Esa, M. A. Ayub","doi":"10.1109/CSPA.2011.5759855","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759855","url":null,"abstract":"In this paper, a non-contact approach to roundness measurement using machine vision is proposed. A test-rig and computer algorithm are developed to realised the approach. The computer algorithm employs minimum zone circle MZC technique to measure the roundness deviation. High contrast and good quality image segmentation is produced with the developed image processing algorithm technique. Camshaft profile is used to determine the effectiveness of the developed approach. Experimental results reveal that the developed computer algorithm coupled with minimum radial zone circle technique can be used as inspection tool for integrated in-process inspection of form tolerances.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132417066","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759910
S. Boukeffa, Y. Jiang, T. Jiang
Pulse compression with Nonlinear Frequency Modulation (NLFM) is promising way for achieving fine resolution, good SNR, low cost, and good interference mitigation, A design method for nonlinear FM signals based on principle of Stationary phase is outlined. Ten popular methods of NLFM and LFM are investigated and their performance are assessed by measuring, sidelobe level reducing, Doppler sensitivity, and loss in SNR caused by Doppler shift for each method, all using medium pulse compression ratios. The simulation results are used to define the most suitable waveform for Sidelobe mitigation for SAR imaging system.
{"title":"Sidelobe reduction with nonlinear frequency modulated waveforms","authors":"S. Boukeffa, Y. Jiang, T. Jiang","doi":"10.1109/CSPA.2011.5759910","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759910","url":null,"abstract":"Pulse compression with Nonlinear Frequency Modulation (NLFM) is promising way for achieving fine resolution, good SNR, low cost, and good interference mitigation, A design method for nonlinear FM signals based on principle of Stationary phase is outlined. Ten popular methods of NLFM and LFM are investigated and their performance are assessed by measuring, sidelobe level reducing, Doppler sensitivity, and loss in SNR caused by Doppler shift for each method, all using medium pulse compression ratios. The simulation results are used to define the most suitable waveform for Sidelobe mitigation for SAR imaging system.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132615211","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759871
N. Halim, M. Y. Mashor, A. S. Abdul Nasir, N. R. Mokhtar, H. Rosline
Leukemia is a disease that affects blood forming cells in the body. Early detection of the disease is necessary for proper treatment management. Abnormal white blood cells or blasts play important role for hematologists in their diagnostic process. Digital image processing technique could help them in their analysis and diagnosis by enhancing the visibility of the interested features of the WBC. In this paper, a global contrast stretching (GCS) and segmentation based on HSI (Hue, Saturation, Intensity) color space will be used to improve the image quality. Image enhancement is very important to increase the visual aspect of blast cells. The results show that the proposed image enhancement procedure is useful to extract the nucleus region in WBC images sample by using the same threshold value, for both ALL and AML images.
{"title":"Nucleus segmentation technique for acute Leukemia","authors":"N. Halim, M. Y. Mashor, A. S. Abdul Nasir, N. R. Mokhtar, H. Rosline","doi":"10.1109/CSPA.2011.5759871","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759871","url":null,"abstract":"Leukemia is a disease that affects blood forming cells in the body. Early detection of the disease is necessary for proper treatment management. Abnormal white blood cells or blasts play important role for hematologists in their diagnostic process. Digital image processing technique could help them in their analysis and diagnosis by enhancing the visibility of the interested features of the WBC. In this paper, a global contrast stretching (GCS) and segmentation based on HSI (Hue, Saturation, Intensity) color space will be used to improve the image quality. Image enhancement is very important to increase the visual aspect of blast cells. The results show that the proposed image enhancement procedure is useful to extract the nucleus region in WBC images sample by using the same threshold value, for both ALL and AML images.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114141265","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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