Pub Date : 2023-05-23DOI: 10.1109/SACI58269.2023.10158564
Zsuzsanna Molnár, Dániel Kiss
In this paper, we present an optimization-based approach for star constellation recognition. The main components of the proposed procedure are the processing of digital images and the minimization of the error in point cloud matching by parameter optimization. In the optimization phase, the Nelder– Mead algorithm, the simulated annealing algorithm, and an evolutionary algorithm were used. Also, the behavior of these methods is evaluated and compared in the paper based on their average error values for different test images. Results on our test dataset showed that the Nelder–Mead simplex algorithm was performing the best in solving the recognition task.
{"title":"Constellation Recognition on Digital Images","authors":"Zsuzsanna Molnár, Dániel Kiss","doi":"10.1109/SACI58269.2023.10158564","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158564","url":null,"abstract":"In this paper, we present an optimization-based approach for star constellation recognition. The main components of the proposed procedure are the processing of digital images and the minimization of the error in point cloud matching by parameter optimization. In the optimization phase, the Nelder– Mead algorithm, the simulated annealing algorithm, and an evolutionary algorithm were used. Also, the behavior of these methods is evaluated and compared in the paper based on their average error values for different test images. Results on our test dataset showed that the Nelder–Mead simplex algorithm was performing the best in solving the recognition task.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121048242","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158592
József Kuti, P. Galambos
The paper presents a new software architecture for the KUKA youBot platform. The new architecture aims to create a cross-platform driver that exploits the increased computational capacities of today’s computers and the preemptive (pseudo-real time) capabilities of operating systems via the tools of modern C++, CMake, and the progress of available open-source software libraries.
{"title":"Revitalizing KUKA youBot project for Research and Educational purposes: Architecture of a new C++ driver","authors":"József Kuti, P. Galambos","doi":"10.1109/SACI58269.2023.10158592","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158592","url":null,"abstract":"The paper presents a new software architecture for the KUKA youBot platform. The new architecture aims to create a cross-platform driver that exploits the increased computational capacities of today’s computers and the preemptive (pseudo-real time) capabilities of operating systems via the tools of modern C++, CMake, and the progress of available open-source software libraries.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133953215","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158599
Tibor Wührl
The last step in the design of digital signal processing algorithms is to check the results. The purpose of the inspection is to detect possible design errors and to check whether the algorithm can fulfill the desired requirements. An effective check of design result is simulation. It is advisable to perform the simulation in a time domain. By applying a suitable excitation signal, the operation of the algorithm in the frequency domain can also be checked. Mathematical programs running on a personal computer, such as MATLAB, provide an almost linear simulation environment due to the accuracy of the numerical representation. The implemented digital signal processing algorithm usually runs in an environment that provides lower calculation accuracy. The time domain analysis also allows the insertion of non-linear points.
{"title":"Simulation of Digital Signal Processing Algorithms in Time Domain","authors":"Tibor Wührl","doi":"10.1109/SACI58269.2023.10158599","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158599","url":null,"abstract":"The last step in the design of digital signal processing algorithms is to check the results. The purpose of the inspection is to detect possible design errors and to check whether the algorithm can fulfill the desired requirements. An effective check of design result is simulation. It is advisable to perform the simulation in a time domain. By applying a suitable excitation signal, the operation of the algorithm in the frequency domain can also be checked. Mathematical programs running on a personal computer, such as MATLAB, provide an almost linear simulation environment due to the accuracy of the numerical representation. The implemented digital signal processing algorithm usually runs in an environment that provides lower calculation accuracy. The time domain analysis also allows the insertion of non-linear points.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132891049","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158638
Ádám Pintér, S. Szénási
The Longest Common Substring of two strings is a character sequence that appears in both texts and is the longest of these. The method is widely used in several text similarity measurement methods, usually used multiple times on the same textual data. There are several already known methods to solve the problem, but these are mostly based on very time and memory intensive procedures. This paper presents a novel data-parallel model to solve the same problem, available for GPU implementation. As our experimental results show, the data-parallel implementation is significantly faster for long textual data.
{"title":"GPU Acceleration of Longest Common Substrings Algorithm","authors":"Ádám Pintér, S. Szénási","doi":"10.1109/SACI58269.2023.10158638","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158638","url":null,"abstract":"The Longest Common Substring of two strings is a character sequence that appears in both texts and is the longest of these. The method is widely used in several text similarity measurement methods, usually used multiple times on the same textual data. There are several already known methods to solve the problem, but these are mostly based on very time and memory intensive procedures. This paper presents a novel data-parallel model to solve the same problem, available for GPU implementation. As our experimental results show, the data-parallel implementation is significantly faster for long textual data.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133212771","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158581
M. Kucarov, Mátyás Takács, B. Molnár, M. Kozlovszky
The aim of this paper is to obtain a complete (manual, mechanic, and automatic) calibration method for robots as digital laboratory technicians in order to boost speed, accuracy, and smooth installation process and setting up of digital pathology workstations in new laboratories or exhibitions. The manual calibration consists of jogging, with burned-in values, the mechanical calibration includes touching a reference point with a head of a calibration tool, meanwhile, the automatic calibration covers the detection of reference aruco markers by computer vision, and image processing techniques. Methods are implemented, tested, and their costs are compared so as to decide which calibration mode is used for which robot tasks and environment.
{"title":"Calibration of Robotic Arm for Workstation Installation in Changing Environment - Comparison of Manual, Mechanic, and Automatic Calibration","authors":"M. Kucarov, Mátyás Takács, B. Molnár, M. Kozlovszky","doi":"10.1109/SACI58269.2023.10158581","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158581","url":null,"abstract":"The aim of this paper is to obtain a complete (manual, mechanic, and automatic) calibration method for robots as digital laboratory technicians in order to boost speed, accuracy, and smooth installation process and setting up of digital pathology workstations in new laboratories or exhibitions. The manual calibration consists of jogging, with burned-in values, the mechanical calibration includes touching a reference point with a head of a calibration tool, meanwhile, the automatic calibration covers the detection of reference aruco markers by computer vision, and image processing techniques. Methods are implemented, tested, and their costs are compared so as to decide which calibration mode is used for which robot tasks and environment.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134603779","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158598
M. Zeinali, S. M. Zanjani, S. Yaghoubi, Amir H. Mosavi, Arman Fathollahi
A multi-mass system is a mechanical system that consists of several masses such as a motor, load, and gear that are connected by a flexible shaft. The mechanical fluctuations in drives with flexible coupling between the motor and the driven device can no longer be ignored, as they could in the past when requirements for speed control dynamics were low. These prerequisites pertain to the regulation of the rotational speed and position of the servo drive and are quantified by the magnitude of speed step response time and speed fault elimination time caused by the step change of load torque, which, in modern drives, can be measured. In this study, the dynamical behavior of a two-mass resonant system with a three-term controller for control of torque and speed is investigated using eigenvalues analysis. The proposed control strategy aims to eliminate the rotational fluctuations of the motor shaft, dampen the load torque disturbance impact, provide a quick response to changes in the base speed while avoiding increases in the load speed, and be resilient to instability. Finally, numerical outcomes demonstrate the effect of the presented controller application on improving the dynamic demeanor of the two-mass test system. Based on the outcomes, the effectiveness of the proposed control scheme is highly dependent on system parameters. Due to the inherent parameter uncertainty in the multi-mass system, the use of parameter estimators based on artificial neural networks (ANNs) is suggested for future work.
{"title":"Torque Control in a Two-Mass Resonant System: Simulation and Dynamic Analysis","authors":"M. Zeinali, S. M. Zanjani, S. Yaghoubi, Amir H. Mosavi, Arman Fathollahi","doi":"10.1109/SACI58269.2023.10158598","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158598","url":null,"abstract":"A multi-mass system is a mechanical system that consists of several masses such as a motor, load, and gear that are connected by a flexible shaft. The mechanical fluctuations in drives with flexible coupling between the motor and the driven device can no longer be ignored, as they could in the past when requirements for speed control dynamics were low. These prerequisites pertain to the regulation of the rotational speed and position of the servo drive and are quantified by the magnitude of speed step response time and speed fault elimination time caused by the step change of load torque, which, in modern drives, can be measured. In this study, the dynamical behavior of a two-mass resonant system with a three-term controller for control of torque and speed is investigated using eigenvalues analysis. The proposed control strategy aims to eliminate the rotational fluctuations of the motor shaft, dampen the load torque disturbance impact, provide a quick response to changes in the base speed while avoiding increases in the load speed, and be resilient to instability. Finally, numerical outcomes demonstrate the effect of the presented controller application on improving the dynamic demeanor of the two-mass test system. Based on the outcomes, the effectiveness of the proposed control scheme is highly dependent on system parameters. Due to the inherent parameter uncertainty in the multi-mass system, the use of parameter estimators based on artificial neural networks (ANNs) is suggested for future work.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129458893","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158578
N. Kasabov
The talk discusses briefly current challenges in artificial intelligence (AI), including: efficient learning of data (interactive, adaptive, life-long; transfer); interpretability and explainability; personalised predictive modelling and profiling; multiple modality of data (e.g. genetic, clinical, behaviour, cognitive, static, temporal, longitudinal); computational complexity; energy consumption; human-machine interaction.
{"title":"Neuroinformatics, Neural Networks and Neurocomputers for Brain-inspired Computational Intelligence","authors":"N. Kasabov","doi":"10.1109/SACI58269.2023.10158578","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158578","url":null,"abstract":"The talk discusses briefly current challenges in artificial intelligence (AI), including: efficient learning of data (interactive, adaptive, life-long; transfer); interpretability and explainability; personalised predictive modelling and profiling; multiple modality of data (e.g. genetic, clinical, behaviour, cognitive, static, temporal, longitudinal); computational complexity; energy consumption; human-machine interaction.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114999340","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158595
Yuetao Wu, K. Takács-György
As the Fourth Industrial Revolution emerged, Agriculture 4.0 started a new page of agriculture. Thanks to the rapid development of advanced and accurate technologies, agriculture provides the huge potential to realize sustainable agriculture from the perspectives of economics, society, and the environment. However, the transformation to Agriculture 4.0 is still slow. In our research, we explored the challenges stopping the development of Agriculture 4.0 through content analysis and secondary research. It is concluded and proved by other scholars that the main factors stopping Agriculture 4.0 are the weak awareness of farmers, lack of digital agriculture experts and institutions, unclear digital agriculture education and training, and the absence of policies and laws. In the end, we also put forward some suggestions to tackle these challenges, such as improving infrastructure investment and competency-building, taking care of the “future farmers”, strengthening data ownership and privacy, and enhancing the role of government in digital agriculture development.
{"title":"What is stopping Agriculture 4.0?---Examples from China","authors":"Yuetao Wu, K. Takács-György","doi":"10.1109/SACI58269.2023.10158595","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158595","url":null,"abstract":"As the Fourth Industrial Revolution emerged, Agriculture 4.0 started a new page of agriculture. Thanks to the rapid development of advanced and accurate technologies, agriculture provides the huge potential to realize sustainable agriculture from the perspectives of economics, society, and the environment. However, the transformation to Agriculture 4.0 is still slow. In our research, we explored the challenges stopping the development of Agriculture 4.0 through content analysis and secondary research. It is concluded and proved by other scholars that the main factors stopping Agriculture 4.0 are the weak awareness of farmers, lack of digital agriculture experts and institutions, unclear digital agriculture education and training, and the absence of policies and laws. In the end, we also put forward some suggestions to tackle these challenges, such as improving infrastructure investment and competency-building, taking care of the “future farmers”, strengthening data ownership and privacy, and enhancing the role of government in digital agriculture development.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"166 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134033576","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158631
P. Varadi, J. Lukács, R. Horváth
Insurance fraud is when a person or legal entity seeks to gain an improper advantage by making an incorrect compensation claim. These cases can cause severe economic damage. As a result, the detection of fraudulent incidents is an important issue nowadays, specifically in the case of the liability motor insurance market. In the past decades, soft computing techniques have emerged to model and support the recognition of the problem. In this paper, a theoretical Mamdani-type Fuzzy inference system is introduced to predict the assumed probability of being an insurance fraud with the help of easily determinable parameters: the insurance payout, Ft; the age of innocent participant vehicle, years; and the payment period of the insurance contract. The output variable of the system generated was the assumed probability, %. The model aims to describe critical events and detect suspicious cases at an early stage.
{"title":"Examination of Vehicle Fraud Detection Possibilities with the Help of Fuzzy Inference System","authors":"P. Varadi, J. Lukács, R. Horváth","doi":"10.1109/SACI58269.2023.10158631","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158631","url":null,"abstract":"Insurance fraud is when a person or legal entity seeks to gain an improper advantage by making an incorrect compensation claim. These cases can cause severe economic damage. As a result, the detection of fraudulent incidents is an important issue nowadays, specifically in the case of the liability motor insurance market. In the past decades, soft computing techniques have emerged to model and support the recognition of the problem. In this paper, a theoretical Mamdani-type Fuzzy inference system is introduced to predict the assumed probability of being an insurance fraud with the help of easily determinable parameters: the insurance payout, Ft; the age of innocent participant vehicle, years; and the payment period of the insurance contract. The output variable of the system generated was the assumed probability, %. The model aims to describe critical events and detect suspicious cases at an early stage.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133181027","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158665
Dominik Csík, Peter Sarcevic, Richard Pesti, Á. Odry
With the spread of Internet of Things (IoT) different radio communication-based technologies are gaining more attention, and their application in indoor localization problems where GPS signal is not available, becomes more and more relevant. This paper addresses the trilateration algorithm-based position estimation approach in indoor localization; this approach uses Received Signal Strength Indication (RSSI) value with the Free Space Path Loss (FSPL) model. Comprehensive laboratory measurements were performed with different radio communication-based technologies namely 433 MHz RSSI, 2.4 GHz WiFi RSSI, ultra-wideband (UWB) RSSI, and UWB Time of Flight (TOF). Then, numerical optimization using the Particle Swarm optimization (PSO) algorithm to determine the parameters of the FSPL model for each anchor and each technology. This method enabled the utilization of trilateration to calculate the position of the measurement node. The obtained results show that the 433 MHz RSSI and the UWB TOF outperform the other two technologies. Using UWB TOF technology, the achieved accuracy was 165.97 cm. 433 MHz RSSI technology provided the second-best solution with 166.60 cm. WiFi RSSI provided 227.89 cm accuracy, while the worst case was obtained by UWB RSSI with 252.08 cm. The study experimentally validates that the most appropriate measurements are provided by UWB TOF and 433 MHz RSSI, which enables the implementation of these technologies in sensor fusion algorithms.
{"title":"Comparison of different radio communication-based technologies for indoor localization using trilateration","authors":"Dominik Csík, Peter Sarcevic, Richard Pesti, Á. Odry","doi":"10.1109/SACI58269.2023.10158665","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158665","url":null,"abstract":"With the spread of Internet of Things (IoT) different radio communication-based technologies are gaining more attention, and their application in indoor localization problems where GPS signal is not available, becomes more and more relevant. This paper addresses the trilateration algorithm-based position estimation approach in indoor localization; this approach uses Received Signal Strength Indication (RSSI) value with the Free Space Path Loss (FSPL) model. Comprehensive laboratory measurements were performed with different radio communication-based technologies namely 433 MHz RSSI, 2.4 GHz WiFi RSSI, ultra-wideband (UWB) RSSI, and UWB Time of Flight (TOF). Then, numerical optimization using the Particle Swarm optimization (PSO) algorithm to determine the parameters of the FSPL model for each anchor and each technology. This method enabled the utilization of trilateration to calculate the position of the measurement node. The obtained results show that the 433 MHz RSSI and the UWB TOF outperform the other two technologies. Using UWB TOF technology, the achieved accuracy was 165.97 cm. 433 MHz RSSI technology provided the second-best solution with 166.60 cm. WiFi RSSI provided 227.89 cm accuracy, while the worst case was obtained by UWB RSSI with 252.08 cm. The study experimentally validates that the most appropriate measurements are provided by UWB TOF and 433 MHz RSSI, which enables the implementation of these technologies in sensor fusion algorithms.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125853780","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：