Pub Date : 2008-12-01DOI: 10.1109/ICIINFS.2008.4798437
D. Nishantha, D. Pishva, Y. Hayashida
This paper provides an architectural classification of smart classrooms and discusses the types of technologies used in their implementation. It examines the methodologies being used to make distance learning an exciting experience and as effective as the traditional classroom type education. Furthermore, the paper shows how commonly used smart classroom settings can be extended to a model where a single local class can simultaneously cater to the needs of multiple remote classrooms and presents a workable solution to some of the technical challenges of the model from a practical utilization aspect. It also shows how some of the inherent challenges of the existing smart classroom systems are being managed and identifies physical and practical limitations of multiple classroom architectures for a successful remote lecturing environment.
{"title":"Smart Classrooms: Architectural Requirements and Deployment Issues","authors":"D. Nishantha, D. Pishva, Y. Hayashida","doi":"10.1109/ICIINFS.2008.4798437","DOIUrl":"https://doi.org/10.1109/ICIINFS.2008.4798437","url":null,"abstract":"This paper provides an architectural classification of smart classrooms and discusses the types of technologies used in their implementation. It examines the methodologies being used to make distance learning an exciting experience and as effective as the traditional classroom type education. Furthermore, the paper shows how commonly used smart classroom settings can be extended to a model where a single local class can simultaneously cater to the needs of multiple remote classrooms and presents a workable solution to some of the technical challenges of the model from a practical utilization aspect. It also shows how some of the inherent challenges of the existing smart classroom systems are being managed and identifies physical and practical limitations of multiple classroom architectures for a successful remote lecturing environment.","PeriodicalId":429889,"journal":{"name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","volume":"171 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133453854","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 : 2008-12-01DOI: 10.1109/ICIINFS.2008.4798349
Sanjib Mishra, S. K. Patra
Short term load forecasting is very essential to the operation of electricity companies. It enhances the energy-efficient and reliable operation of power system. Artificial neural networks are employed for nonlinear short term load forecasting owing to their powerful nonlinear mapping capabilities. These are generally trained through back-propagation, genetic algorithm (GA), particle swarm optimization (PSO) and artificial immune system (AIS). All these algorithms have specific benefits in terms of accuracy, speed of convergence and historical data requirement for training. In this paper a hybrid AIS is proposed, which is a combination of back-propagation with AIS to get faster convergence, lesser historical data requirement for training with a little compromise in accuracy.
{"title":"Short Term Load Forecasting using a Neural Network trained by A Hybrid Artificial Immune System","authors":"Sanjib Mishra, S. K. Patra","doi":"10.1109/ICIINFS.2008.4798349","DOIUrl":"https://doi.org/10.1109/ICIINFS.2008.4798349","url":null,"abstract":"Short term load forecasting is very essential to the operation of electricity companies. It enhances the energy-efficient and reliable operation of power system. Artificial neural networks are employed for nonlinear short term load forecasting owing to their powerful nonlinear mapping capabilities. These are generally trained through back-propagation, genetic algorithm (GA), particle swarm optimization (PSO) and artificial immune system (AIS). All these algorithms have specific benefits in terms of accuracy, speed of convergence and historical data requirement for training. In this paper a hybrid AIS is proposed, which is a combination of back-propagation with AIS to get faster convergence, lesser historical data requirement for training with a little compromise in accuracy.","PeriodicalId":429889,"journal":{"name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132113896","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 : 2008-12-01DOI: 10.1109/ICIINFS.2008.4798413
S. Gadoue, D. Giaouris, J. Finch
Model reference adaptive system (MRAS) represents one of the most attractive and popular solutions for sensorless control of AC drives. However, the performance of this scheme deteriorates when approaching the zero speed zone. This paper presents an experimental evaluation of the performance of MRAS speed observer when working at very low and zero speed. Results are obtained when applied to an indirect vector control induction motor drive in both open loop and sensorless modes of operation. Since the focus here is on operation around and at zero speed under both no-load and loading operating conditions, this represents a useful contribution to the literature. Results show the deterioration in the performance of the estimation scheme at very low and zero speed especially when load is applied.
{"title":"Performance Evaluation of a Sensorless Induction Motor Drive at Very Low and Zero Speed Using a MRAS Speed Observer","authors":"S. Gadoue, D. Giaouris, J. Finch","doi":"10.1109/ICIINFS.2008.4798413","DOIUrl":"https://doi.org/10.1109/ICIINFS.2008.4798413","url":null,"abstract":"Model reference adaptive system (MRAS) represents one of the most attractive and popular solutions for sensorless control of AC drives. However, the performance of this scheme deteriorates when approaching the zero speed zone. This paper presents an experimental evaluation of the performance of MRAS speed observer when working at very low and zero speed. Results are obtained when applied to an indirect vector control induction motor drive in both open loop and sensorless modes of operation. Since the focus here is on operation around and at zero speed under both no-load and loading operating conditions, this represents a useful contribution to the literature. Results show the deterioration in the performance of the estimation scheme at very low and zero speed especially when load is applied.","PeriodicalId":429889,"journal":{"name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133799521","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 : 2008-12-01DOI: 10.1109/ICIINFS.2008.4798424
Anita Agrawal, A. Ghatol, P. R. V. M. Kiran
Recent advancements in sonographic techniques have led to non-invasive visualization of organs. These advancements demand use of image processing for measurements on the images obtained from different scans. However, accurate measurement of blood flow is usually very difficult inspite of its important role in clinical diagnosis. Hence for better diagnosis by doctors, systems offering fast and accurate measurements are need of the day. Many techniques developed by researchers are available today for measuring such offline data. In this paper a new system that uses image processing techniques to estimate cardiac parameters on a real time basis is discussed. Importantly, this technique offers high resolution measurements and importantly doesn't require catheterization, hence plays an important role in examining parameters like blood flow rate, oxygen need, size of organs and tumors and diameters of vessels. Discussion of the algorithms for estimating the above parameters is made and results for two of the parameters viz. (1) estimation of ratio of left atrial diameter (LA) to aortic diameter (AO) and (2) oxygen content in these vessels is shown. Succinctly, the proposed system gives accurate online data of different cardiac parameters by the use of image processing techniques.
{"title":"Estimation of Cardiac Parameters using Image Processing","authors":"Anita Agrawal, A. Ghatol, P. R. V. M. Kiran","doi":"10.1109/ICIINFS.2008.4798424","DOIUrl":"https://doi.org/10.1109/ICIINFS.2008.4798424","url":null,"abstract":"Recent advancements in sonographic techniques have led to non-invasive visualization of organs. These advancements demand use of image processing for measurements on the images obtained from different scans. However, accurate measurement of blood flow is usually very difficult inspite of its important role in clinical diagnosis. Hence for better diagnosis by doctors, systems offering fast and accurate measurements are need of the day. Many techniques developed by researchers are available today for measuring such offline data. In this paper a new system that uses image processing techniques to estimate cardiac parameters on a real time basis is discussed. Importantly, this technique offers high resolution measurements and importantly doesn't require catheterization, hence plays an important role in examining parameters like blood flow rate, oxygen need, size of organs and tumors and diameters of vessels. Discussion of the algorithms for estimating the above parameters is made and results for two of the parameters viz. (1) estimation of ratio of left atrial diameter (LA) to aortic diameter (AO) and (2) oxygen content in these vessels is shown. Succinctly, the proposed system gives accurate online data of different cardiac parameters by the use of image processing techniques.","PeriodicalId":429889,"journal":{"name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115812055","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 : 2008-12-01DOI: 10.1109/ICIINFS.2008.4798346
K. Sundareswaran, H. N. Shyam, S. Palani, Joby James
The main objective of this work is to develop a cost effective off-line method for determination of induction motor equivalent circuit parameters by conducting a single load test on the motor. The proposed scheme is an alternative viable method to conventional means of no-load and blocked rotor tests. The identification of motor parameters is redrafted as a multi-objective optimization problem and solution is sought through conventional optimization method as well as genetic algorithm (GA). The conventional method employed is the well known Rosenbrock's (RB) rotating coordinates method. When the results of the two methods are analyzed, it is observed that while GA offers near optimal solution to the problem, the method of RB always results in global optima, provided initial values are chosen judiciously. Hence, it is proposed to combine these two methods to gain the advantages of both the methods. In such a hybrid optimization method, the task of global search is carried out by GA, while Rosenbrock's method is devoted to local search. Comparison of these two techniques are discussed and presented in conjunction with computed and practical results. It is shown that combination of GA with conventional method yields improved results.
{"title":"Induction motor Parameter Estimation using Hybrid Genetic Algorithm","authors":"K. Sundareswaran, H. N. Shyam, S. Palani, Joby James","doi":"10.1109/ICIINFS.2008.4798346","DOIUrl":"https://doi.org/10.1109/ICIINFS.2008.4798346","url":null,"abstract":"The main objective of this work is to develop a cost effective off-line method for determination of induction motor equivalent circuit parameters by conducting a single load test on the motor. The proposed scheme is an alternative viable method to conventional means of no-load and blocked rotor tests. The identification of motor parameters is redrafted as a multi-objective optimization problem and solution is sought through conventional optimization method as well as genetic algorithm (GA). The conventional method employed is the well known Rosenbrock's (RB) rotating coordinates method. When the results of the two methods are analyzed, it is observed that while GA offers near optimal solution to the problem, the method of RB always results in global optima, provided initial values are chosen judiciously. Hence, it is proposed to combine these two methods to gain the advantages of both the methods. In such a hybrid optimization method, the task of global search is carried out by GA, while Rosenbrock's method is devoted to local search. Comparison of these two techniques are discussed and presented in conjunction with computed and practical results. It is shown that combination of GA with conventional method yields improved results.","PeriodicalId":429889,"journal":{"name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134280048","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 : 2008-12-01DOI: 10.1109/ICIINFS.2008.4798459
S. Chauhan, Chetan Patil, A. Halder, M. Sinha
This paper proposes a novel sensor fusion algorithm to obtain instantaneous position and attitude estimates, which can either be used for aerial navigation or can be utilized to construct state feedbacks for camera stabilization. A divergence control strategy has also been formulated and the algorithm was embedded in real-time hardware. A comparative study between the proposed and conventional algorithm illustrates its efficacy.
{"title":"FLIER: A Novel Sensor Fusion Algorithm","authors":"S. Chauhan, Chetan Patil, A. Halder, M. Sinha","doi":"10.1109/ICIINFS.2008.4798459","DOIUrl":"https://doi.org/10.1109/ICIINFS.2008.4798459","url":null,"abstract":"This paper proposes a novel sensor fusion algorithm to obtain instantaneous position and attitude estimates, which can either be used for aerial navigation or can be utilized to construct state feedbacks for camera stabilization. A divergence control strategy has also been formulated and the algorithm was embedded in real-time hardware. A comparative study between the proposed and conventional algorithm illustrates its efficacy.","PeriodicalId":429889,"journal":{"name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132312522","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 : 2008-12-01DOI: 10.1109/ICIINFS.2008.4798399
R. Kar, A. Chattaraj, A. Chandra, A. K. Mal, A. Bhattacharjee
In deep sub-micrometer (DSM) regime the on-chip interconnect delay is significantly more dominating than the gate delay. Several approaches have been proposed to capture the interconnect delay accurately and efficiently. By interpreting the impulse response of a linear circuit as a probability distribution function (PDF), Elmore first estimated the interconnect delay. Several other approaches like PRIMO, AWE, h-Gamma, WED, D2M etc. have been reported so far, which are shown to be more accurate delay estimation compared to Elmore delay metric. But they suffer from computational complexity when using in the total IC design processes. Our work presents a closed form formula for interconnect delay. The delay metric is derived by matching circuit moments to the Weibull distribution. The delay metric can be easily implemented for both step and ramp inputs by using a single look-up table. Experiments validate the effectiveness of the delay metric for nets from a real industrial design.
{"title":"Delay Estimation for On-Chip VLSI Interconnect using Weibull Distribution Function","authors":"R. Kar, A. Chattaraj, A. Chandra, A. K. Mal, A. Bhattacharjee","doi":"10.1109/ICIINFS.2008.4798399","DOIUrl":"https://doi.org/10.1109/ICIINFS.2008.4798399","url":null,"abstract":"In deep sub-micrometer (DSM) regime the on-chip interconnect delay is significantly more dominating than the gate delay. Several approaches have been proposed to capture the interconnect delay accurately and efficiently. By interpreting the impulse response of a linear circuit as a probability distribution function (PDF), Elmore first estimated the interconnect delay. Several other approaches like PRIMO, AWE, h-Gamma, WED, D2M etc. have been reported so far, which are shown to be more accurate delay estimation compared to Elmore delay metric. But they suffer from computational complexity when using in the total IC design processes. Our work presents a closed form formula for interconnect delay. The delay metric is derived by matching circuit moments to the Weibull distribution. The delay metric can be easily implemented for both step and ramp inputs by using a single look-up table. Experiments validate the effectiveness of the delay metric for nets from a real industrial design.","PeriodicalId":429889,"journal":{"name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132377003","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 : 2008-12-01DOI: 10.1109/ICIINFS.2008.4798397
Parul Shah, P. Choudhari, Suresh Sivaraman
In this paper we present a novel method for digital audio steganography where encrypted covert data is embedded by adaptively modifying wavelet packet coefficients of host audio signal. The major contribution of the proposed scheme is the technique introduced for adaptively modifying the host audio to embed the covert data. The modification of host audio is done by imposing a constraint which forces the modified value to be in the same range as its neighborhood. Due to this constraint the noise introduced due to embedding is very low compared to existing methods. The main advantage with proposed embedding scheme is superior Signal to Noise Ratio (SNR) values, with good hiding capacity and speed. Listening test results also show that distortions in the stego audio is imperceptible from the original audio even with highest hiding capacity. Our method also has zero bit error in recovered data which is one of the most desired features of any steganography technique.
{"title":"Adaptive Wavelet Packet Based Audio Steganography using Data History","authors":"Parul Shah, P. Choudhari, Suresh Sivaraman","doi":"10.1109/ICIINFS.2008.4798397","DOIUrl":"https://doi.org/10.1109/ICIINFS.2008.4798397","url":null,"abstract":"In this paper we present a novel method for digital audio steganography where encrypted covert data is embedded by adaptively modifying wavelet packet coefficients of host audio signal. The major contribution of the proposed scheme is the technique introduced for adaptively modifying the host audio to embed the covert data. The modification of host audio is done by imposing a constraint which forces the modified value to be in the same range as its neighborhood. Due to this constraint the noise introduced due to embedding is very low compared to existing methods. The main advantage with proposed embedding scheme is superior Signal to Noise Ratio (SNR) values, with good hiding capacity and speed. Listening test results also show that distortions in the stego audio is imperceptible from the original audio even with highest hiding capacity. Our method also has zero bit error in recovered data which is one of the most desired features of any steganography technique.","PeriodicalId":429889,"journal":{"name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134191950","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 : 2008-12-01DOI: 10.1109/ICIINFS.2008.4798374
V. Rishiwal, H. Kumar, K. Arya, M. Yadav
Secret sharing is an efficient method of transmitting the image securely. This paper discusses an efficient secret sharing scheme for multiple secret images. It has been shown through the experimental result that the proposed scheme transmits the images secretly and then efficiently recovers the same at the receiver end. This scheme is general in nature and can be applied on any image size. The scheme comprises of the important algorithms namely share generation algorithm and combination algorithm. The share generation algorithm generates the shares of secret multiple images and the combination algorithm combines the specified shares to get the secret images within a very short time and provide high level of security.
{"title":"Multiple Secret Images Sharing Scheme","authors":"V. Rishiwal, H. Kumar, K. Arya, M. Yadav","doi":"10.1109/ICIINFS.2008.4798374","DOIUrl":"https://doi.org/10.1109/ICIINFS.2008.4798374","url":null,"abstract":"Secret sharing is an efficient method of transmitting the image securely. This paper discusses an efficient secret sharing scheme for multiple secret images. It has been shown through the experimental result that the proposed scheme transmits the images secretly and then efficiently recovers the same at the receiver end. This scheme is general in nature and can be applied on any image size. The scheme comprises of the important algorithms namely share generation algorithm and combination algorithm. The share generation algorithm generates the shares of secret multiple images and the combination algorithm combines the specified shares to get the secret images within a very short time and provide high level of security.","PeriodicalId":429889,"journal":{"name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134250925","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 : 2008-12-01DOI: 10.1109/ICIINFS.2008.4798463
Abhishek Banik, R. S. Anand, M. A. Ansari
Respiratory illness is recognized internationally as one of the commonest medical disorders affecting the world's populous countries. The identification of continuous abnormal lung sounds, like adventitious breath sounds in the total breathing cycle is of great importance in the diagnosis of obstructive airways pathologies. To this vein, the current work introduces an efficient method for the detection of wheezes, crackles, stridor, pleural rub and bronchial breath sounds as well as the remote monitoring of such sounds. In this work wheezes have been detected using frequency duration dependant threshold (FDDT) algorithm which is better than the other algorithms in respect to the fact they are based on human auditory modeling and does not have any ambiguity while deciding whether a particular signal is wheeze or not.
{"title":"Remote Monitoring and Analysis of Human Lung Sound","authors":"Abhishek Banik, R. S. Anand, M. A. Ansari","doi":"10.1109/ICIINFS.2008.4798463","DOIUrl":"https://doi.org/10.1109/ICIINFS.2008.4798463","url":null,"abstract":"Respiratory illness is recognized internationally as one of the commonest medical disorders affecting the world's populous countries. The identification of continuous abnormal lung sounds, like adventitious breath sounds in the total breathing cycle is of great importance in the diagnosis of obstructive airways pathologies. To this vein, the current work introduces an efficient method for the detection of wheezes, crackles, stridor, pleural rub and bronchial breath sounds as well as the remote monitoring of such sounds. In this work wheezes have been detected using frequency duration dependant threshold (FDDT) algorithm which is better than the other algorithms in respect to the fact they are based on human auditory modeling and does not have any ambiguity while deciding whether a particular signal is wheeze or not.","PeriodicalId":429889,"journal":{"name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133867885","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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