Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007908
S. S. Putra, G. C. Perez, S. van der Pijl, H. Kernkamp, Arthur van Dam, D. Solomatine
The physical process modeling of an estuary is a complex mechanism that comes along with the existence of uncertainty. In contrast, due to significant variability of flows in space and time, an extensive modeling effort must be accommodated with the application of parallelization technology. Therefore, the implication of estuary model parallelization to the model result uncertainty must be examined. In this research, a three dimensional (3D) hydrodynamic model of Columbia Estuary, located in Oregon, United States, was configured in cloud computing environment. The case study was simulated using DFlow Flexible Mesh software from Deltares. The model behaviors were evaluated in terms of water level, velocity, and salinity with the reverence of field observation data. The estuary model was calibrated in respect to physical parameters before parallelization process. Through calibration procedure, it was revealed that the model were sensitive to bed roughness, eddy viscosity coefficient, and eddy diffusivity coefficient. It can be concluded that the model parallelization technique had induced minor uncertainty contribution to the specific estuary model results. The pattern of uncertainties are varies within the range of parallel processes scenarios, as a result of automatic domain decomposition practice that produces additional diffusivity term to model. Meanwhile, there is an optimum parallel process scenario with minimum computational time. Some bargaining alternatives between model uncertainty and computational time are presented for the application of estuary parallel modeling.
{"title":"Measuring domain decomposition effect in estuary model parallelization using high performance computer","authors":"S. S. Putra, G. C. Perez, S. van der Pijl, H. Kernkamp, Arthur van Dam, D. Solomatine","doi":"10.1109/ICITEED.2014.7007908","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007908","url":null,"abstract":"The physical process modeling of an estuary is a complex mechanism that comes along with the existence of uncertainty. In contrast, due to significant variability of flows in space and time, an extensive modeling effort must be accommodated with the application of parallelization technology. Therefore, the implication of estuary model parallelization to the model result uncertainty must be examined. In this research, a three dimensional (3D) hydrodynamic model of Columbia Estuary, located in Oregon, United States, was configured in cloud computing environment. The case study was simulated using DFlow Flexible Mesh software from Deltares. The model behaviors were evaluated in terms of water level, velocity, and salinity with the reverence of field observation data. The estuary model was calibrated in respect to physical parameters before parallelization process. Through calibration procedure, it was revealed that the model were sensitive to bed roughness, eddy viscosity coefficient, and eddy diffusivity coefficient. It can be concluded that the model parallelization technique had induced minor uncertainty contribution to the specific estuary model results. The pattern of uncertainties are varies within the range of parallel processes scenarios, as a result of automatic domain decomposition practice that produces additional diffusivity term to model. Meanwhile, there is an optimum parallel process scenario with minimum computational time. Some bargaining alternatives between model uncertainty and computational time are presented for the application of estuary parallel modeling.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127055358","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 : 2014-10-01DOI: 10.1109/ICITEED.2014.7007961
S. Herdjunanto, A. Susanto, O. Wahyunggoro
This paper concerns with a problem of robust residuals generation on a system with structured uncertainty such that the designed signatures can be used to isolate sensor faults simultaneously. The proposed solution of this problem is executed by using a filter and a transformation matrix. The filter is used to generate the dynamic of system errors. Moreover the scheme consists of two stages. The first stage is to generate bases of each row of the transformation matrix so that they robust to structured uncertainty for each eigenvalue of the filter. The second stage is to construct row by row the transformation matrix based on the designed of signature vectors such that the modes of residual sensor fault can be decoupled one from the others. Moreover one dimensional of detection space is developed. To demonstrate the effectiveness of the method a simulation study on a MIMO Web Winding System which has multi input and multi output is carried out. The result shows that the method has been successfully implemented.
{"title":"Robust residual generation for sensor fault isolation in systems with structured uncertainty: A case study: MIMO Web Winding System","authors":"S. Herdjunanto, A. Susanto, O. Wahyunggoro","doi":"10.1109/ICITEED.2014.7007961","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007961","url":null,"abstract":"This paper concerns with a problem of robust residuals generation on a system with structured uncertainty such that the designed signatures can be used to isolate sensor faults simultaneously. The proposed solution of this problem is executed by using a filter and a transformation matrix. The filter is used to generate the dynamic of system errors. Moreover the scheme consists of two stages. The first stage is to generate bases of each row of the transformation matrix so that they robust to structured uncertainty for each eigenvalue of the filter. The second stage is to construct row by row the transformation matrix based on the designed of signature vectors such that the modes of residual sensor fault can be decoupled one from the others. Moreover one dimensional of detection space is developed. To demonstrate the effectiveness of the method a simulation study on a MIMO Web Winding System which has multi input and multi output is carried out. The result shows that the method has been successfully implemented.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134592496","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 : 2014-10-01DOI: 10.1109/ICITEED.2014.7006991
A. R. Pratama, Widyawan, Guntur Dharma Putra
Energy efficient building refers to building with an integrated system that is aware toward energy usage and has an effort to automatically reduce all electrical energy wasting by turning some unused devices off. In order to decide an appropriate decision, such a system needs surrounding contexts, such as location and activity that are obtained from sensors around the environment. We propose a novel infrastructure-less occupant context recognition, where we only need off-the-shelf sensors in a mobile device to recognize room occupancy. The idea is to derive the occupant context from user position gathered by real time Dead Reckoning (DR) technique on a mobile phone. Moreover, our system is able to control electrical devices based on the occupant context in certain room. Our experiments in a laboratory environment show that it can be really implemented and prospectively replacing Passive Infrared (PIR) sensors in occupancy detection due to smaller delay compared to 10 seconds timeout which is commonly determined by many energy-efficient systems based on PIR-sensor to reach the unoccupied state.
{"title":"An infrastructure-less occupant context-recognition in energy efficient building","authors":"A. R. Pratama, Widyawan, Guntur Dharma Putra","doi":"10.1109/ICITEED.2014.7006991","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7006991","url":null,"abstract":"Energy efficient building refers to building with an integrated system that is aware toward energy usage and has an effort to automatically reduce all electrical energy wasting by turning some unused devices off. In order to decide an appropriate decision, such a system needs surrounding contexts, such as location and activity that are obtained from sensors around the environment. We propose a novel infrastructure-less occupant context recognition, where we only need off-the-shelf sensors in a mobile device to recognize room occupancy. The idea is to derive the occupant context from user position gathered by real time Dead Reckoning (DR) technique on a mobile phone. Moreover, our system is able to control electrical devices based on the occupant context in certain room. Our experiments in a laboratory environment show that it can be really implemented and prospectively replacing Passive Infrared (PIR) sensors in occupancy detection due to smaller delay compared to 10 seconds timeout which is commonly determined by many energy-efficient systems based on PIR-sensor to reach the unoccupied state.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132757019","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 : 2014-10-01DOI: 10.1109/ICITEED.2014.7007946
Sarjiya, A. Mulyawan, A. Sudiarso
This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list approach. In solving this UC problem, reliability constraint is also considered to increase the feasibility of the obtained solution. Reliability constraint used in this paper is loss of load probability index to evaluate the required spinning reserve. Meanwhile, the sub problem, economic load dispatch problem is solved by using lambda iteration. This method is tested on case study 26 unit system. Priority list which is used in this paper can make genetic algorithm to convergence better and faster. The results of the proposed hybrid method are compared with other methods referred in this paper.
{"title":"Optimal solution of reliability constrained unit commitment using hybrid genetic algorithm-priority list method","authors":"Sarjiya, A. Mulyawan, A. Sudiarso","doi":"10.1109/ICITEED.2014.7007946","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007946","url":null,"abstract":"This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list approach. In solving this UC problem, reliability constraint is also considered to increase the feasibility of the obtained solution. Reliability constraint used in this paper is loss of load probability index to evaluate the required spinning reserve. Meanwhile, the sub problem, economic load dispatch problem is solved by using lambda iteration. This method is tested on case study 26 unit system. Priority list which is used in this paper can make genetic algorithm to convergence better and faster. The results of the proposed hybrid method are compared with other methods referred in this paper.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121224921","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 : 2014-10-01DOI: 10.1109/ICITEED.2014.7007944
I. Kumara, W. G. Ariastina, I. W. Sukerayasa, I. Giriantari
Indonesian National Energy Policy states that renewable electricity generation shall contribute to around 10% of national grid by 2025. Currently, Indonesian grid capacity is just over 43 GW and estimated to reach over 65 GW by 2025 hence renewable generation target is around 6.5 GW. Indonesia is an archipelago country with over 13,700 islands stretches from east to west over three time zones. Renewable generation should be developed over 34 provincial regions by utilizing local resources. Bali is small island and one of provincial administration with nearly four million population and land area of 5,600 square kilometer. As of 2013, its electrification ratio has reached 98%. Its power system is supported by 759.5 MW generating capacity but with peak load already at 730 MW. Bali does not have conventional resources hence all fossil-based fuels are sourced externally. Fortunately, Bali has various renewable resources that can be harnessed for electricity generation. Renewable resources available on the island are micro hydro, wind, photovoltaic, biomass, and also geothermal. This paper provides updated information on the potential and progress of renewable generation of the island. As of 2014, total renewable generation plants has reached 7 MW. The plants comprises of 2.1 MW photovoltaic, 736 kW wind power, 45 kW micro hydro, and 4.174 MW waste-to-electricity plants. The renewable generation contributes to around 1% of Bali's total power capacity.
{"title":"On the potential and progress of renewable electricity generation in Bali","authors":"I. Kumara, W. G. Ariastina, I. W. Sukerayasa, I. Giriantari","doi":"10.1109/ICITEED.2014.7007944","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007944","url":null,"abstract":"Indonesian National Energy Policy states that renewable electricity generation shall contribute to around 10% of national grid by 2025. Currently, Indonesian grid capacity is just over 43 GW and estimated to reach over 65 GW by 2025 hence renewable generation target is around 6.5 GW. Indonesia is an archipelago country with over 13,700 islands stretches from east to west over three time zones. Renewable generation should be developed over 34 provincial regions by utilizing local resources. Bali is small island and one of provincial administration with nearly four million population and land area of 5,600 square kilometer. As of 2013, its electrification ratio has reached 98%. Its power system is supported by 759.5 MW generating capacity but with peak load already at 730 MW. Bali does not have conventional resources hence all fossil-based fuels are sourced externally. Fortunately, Bali has various renewable resources that can be harnessed for electricity generation. Renewable resources available on the island are micro hydro, wind, photovoltaic, biomass, and also geothermal. This paper provides updated information on the potential and progress of renewable generation of the island. As of 2014, total renewable generation plants has reached 7 MW. The plants comprises of 2.1 MW photovoltaic, 736 kW wind power, 45 kW micro hydro, and 4.174 MW waste-to-electricity plants. The renewable generation contributes to around 1% of Bali's total power capacity.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124017866","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 : 2014-10-01DOI: 10.1109/ICITEED.2014.7007930
E. Firmansyah, Lafiona Grezelda, Iswandi
This research evaluates the application of Bluetooth for monitoring in-car sensors. Bluetooth technology is chosen to provide reliable communication system with low complexity and production costs. To assess connection among the predefined sensor positions in car, the RSSI (received signal strength indicator) measurement is conducted by using the HC-05 Bluetooth module as the receiver and Android smartphone as the transmitter. The measurement scenario is defined based on the link between master-station at car dashboard to all possible sensor positions. More measurements are also conducted for the coverage of Bluetooth connection in the possible longest distance of car dimensions. The measurement results show that the RSSI receptions from all sensor nodes are higher than the used receiver-sensitivity threshold. Therefore, the implementation of Bluetooth is feasible. However, in the real application, the sensitivity of the implemented Bluetooth module should be carefully considered because the signal reception has possibility to drop below typical threshold in the Bluetooth standard. Therefore, rigorous measurements assuring that all possible sensor placement scenarios should be guaranteed to result in RSSI higher than the threshold of the implemented Bluetooth hardware.
{"title":"RSSI based analysis of Bluetooth implementation for intra-car sensor monitoring","authors":"E. Firmansyah, Lafiona Grezelda, Iswandi","doi":"10.1109/ICITEED.2014.7007930","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007930","url":null,"abstract":"This research evaluates the application of Bluetooth for monitoring in-car sensors. Bluetooth technology is chosen to provide reliable communication system with low complexity and production costs. To assess connection among the predefined sensor positions in car, the RSSI (received signal strength indicator) measurement is conducted by using the HC-05 Bluetooth module as the receiver and Android smartphone as the transmitter. The measurement scenario is defined based on the link between master-station at car dashboard to all possible sensor positions. More measurements are also conducted for the coverage of Bluetooth connection in the possible longest distance of car dimensions. The measurement results show that the RSSI receptions from all sensor nodes are higher than the used receiver-sensitivity threshold. Therefore, the implementation of Bluetooth is feasible. However, in the real application, the sensitivity of the implemented Bluetooth module should be carefully considered because the signal reception has possibility to drop below typical threshold in the Bluetooth standard. Therefore, rigorous measurements assuring that all possible sensor placement scenarios should be guaranteed to result in RSSI higher than the threshold of the implemented Bluetooth hardware.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130297249","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 : 2014-10-01DOI: 10.1109/ICITEED.2014.7007953
A. Yusuf, Imamul Muttakin, W. Widada, W. Taruno
This research investigates single excitation signal applied on ECVT (electrical capacitance volume tomography) data acquisition system (DAS). ECVT is one of tomography processes based on capacitance measurement. Excitation signals being used in the system are square and sine waves. Single wave excitation signal was injected into pair electrodes which would produce one capacitance measurement. This method lessen the time required to acquire data thus fasten the data acquisition speed. For 16 channels, 138 frame per second could be achieved. The proposed method does not decrease accuracy and sensitivity of capacitance measurement.
{"title":"Analysis of single excitation signal for high speed ECVT data acquisition system","authors":"A. Yusuf, Imamul Muttakin, W. Widada, W. Taruno","doi":"10.1109/ICITEED.2014.7007953","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007953","url":null,"abstract":"This research investigates single excitation signal applied on ECVT (electrical capacitance volume tomography) data acquisition system (DAS). ECVT is one of tomography processes based on capacitance measurement. Excitation signals being used in the system are square and sine waves. Single wave excitation signal was injected into pair electrodes which would produce one capacitance measurement. This method lessen the time required to acquire data thus fasten the data acquisition speed. For 16 channels, 138 frame per second could be achieved. The proposed method does not decrease accuracy and sensitivity of capacitance measurement.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129751945","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 : 2014-10-01DOI: 10.1109/ICITEED.2014.7007951
R. Mochamad, S. P. Hadi, B. Isnaeni
A new controller for power system equipped with Unified Power Flow Controller (UPFC) is proposed in the form of coordination between lead lag power system stabilizer (PSS) and modal optimal power oscillation damping (MO POD). MO is a combination of linear quadratic regulator and modal placement that is tuned with multi-objective time varying accelerating constant particle swarm optimization (TVAC PSO). The controller performance is tested with small signal disturbance to power system. A comparison with previous research, MO POD tuned with genetic algorithm is also conducted. Simulation result shows that proposed controller had the best response, with up to 65% reduction in overshoot and almost 30 times quicker settling time compared to system without POD. There are also 6% and 0.5s reduction in overshoot and settling time compared to previous research.
{"title":"TVAC PSO for modal optimal control POD and PSS coordination in UPFC","authors":"R. Mochamad, S. P. Hadi, B. Isnaeni","doi":"10.1109/ICITEED.2014.7007951","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007951","url":null,"abstract":"A new controller for power system equipped with Unified Power Flow Controller (UPFC) is proposed in the form of coordination between lead lag power system stabilizer (PSS) and modal optimal power oscillation damping (MO POD). MO is a combination of linear quadratic regulator and modal placement that is tuned with multi-objective time varying accelerating constant particle swarm optimization (TVAC PSO). The controller performance is tested with small signal disturbance to power system. A comparison with previous research, MO POD tuned with genetic algorithm is also conducted. Simulation result shows that proposed controller had the best response, with up to 65% reduction in overshoot and almost 30 times quicker settling time compared to system without POD. There are also 6% and 0.5s reduction in overshoot and settling time compared to previous research.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123493762","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 : 2014-10-01DOI: 10.1109/ICITEED.2014.7007902
H. A. Nugroho, Titin Yulianti, Noor Akhmad Setiawan, Dhimas Arief Dharmawan
Retinal fundus image provides information of retinal pathologies to diagnose some diseases by computer automatic detection. The quality of the retinal image mostly affects the detection results. In this research, blood vessels contrast measurement algorithm is approached as the first step in no-reference retinal image quality metric. The step includes segmentation of blood vessels. This work was used retinal images from HEI-MED database. The retinal images are divided as poor and good quality, and then compared with the expert assessment. The result shows that the performance of the approach algorithm is correlated closely with the expert assessment. The qualitative evaluation achieves sensitivity 0.97619, specificity 0.8 and accuracy 0.89362.
{"title":"Contrast measurement for no-reference retinal image quality assessment","authors":"H. A. Nugroho, Titin Yulianti, Noor Akhmad Setiawan, Dhimas Arief Dharmawan","doi":"10.1109/ICITEED.2014.7007902","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007902","url":null,"abstract":"Retinal fundus image provides information of retinal pathologies to diagnose some diseases by computer automatic detection. The quality of the retinal image mostly affects the detection results. In this research, blood vessels contrast measurement algorithm is approached as the first step in no-reference retinal image quality metric. The step includes segmentation of blood vessels. This work was used retinal images from HEI-MED database. The retinal images are divided as poor and good quality, and then compared with the expert assessment. The result shows that the performance of the approach algorithm is correlated closely with the expert assessment. The qualitative evaluation achieves sensitivity 0.97619, specificity 0.8 and accuracy 0.89362.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129637958","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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