Pub Date : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622252
Wenpeng Wei, Akiko Takahashi, Tetsuo Kinoshita
We propose a new design of energy-consumption-aware evolutional agent system for portable devices. In the proposal, platform specific parameters of local resources are taken into account calculate the energy continuance index (ECI) of portable devices for controlling service provision to reduce power consuming of the portable platforms. Furthermore, we implement a multimedia communication system based on the proposal to evaluate its effectiveness. Results from the comparison with a conventional method show that the proposal is able to provide adequate services without effecting user experiences.
{"title":"Design of energy-consumption-aware evolutional agent system for portable devices","authors":"Wenpeng Wei, Akiko Takahashi, Tetsuo Kinoshita","doi":"10.1109/ICCI-CC.2013.6622252","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622252","url":null,"abstract":"We propose a new design of energy-consumption-aware evolutional agent system for portable devices. In the proposal, platform specific parameters of local resources are taken into account calculate the energy continuance index (ECI) of portable devices for controlling service provision to reduce power consuming of the portable platforms. Furthermore, we implement a multimedia communication system based on the proposal to evaluate its effectiveness. Results from the comparison with a conventional method show that the proposal is able to provide adequate services without effecting user experiences.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121834127","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622248
Elena Paolercio, Cameron McMunn-Coffran, Brian Mott, D. Hsu, Christina Schweikert
Decision-making tasks that are based on perception have been performed routinely by human beings in daily life and decision-makers in daily work. It has been observed that the combination of two perception-based decisions could be better than one, provided that the decision-makers communicate with each other and jointly adopt the most confident judgment; simply select the most confident judgment without any dyadic interaction, or communicate with each other on shareable arguments based on reasoning. In this paper, we report a recently conducted visual perception experiment with decisions from nineteen pairs of subjects and their reported confidence factors when making such a decision. Utilizing the concept of a “cognitive diversity” between two systems and the combinatorial fusion algorithm, our results demonstrated that the fusion of two visual perception decision systems can be better than each of the individual systems only if the two systems perform relatively good and they are cognitively diverse. Our study not only provides a robust algorithm to fuse two visual perception decision-making systems, but also suggests a resilient approach to use the cognitive diversity in fusion when the performance of each individual system is not known or cannot be obtained, which is often the case for complex problems.
{"title":"Fusion of two visual perception systems utilizing cognitive diversity","authors":"Elena Paolercio, Cameron McMunn-Coffran, Brian Mott, D. Hsu, Christina Schweikert","doi":"10.1109/ICCI-CC.2013.6622248","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622248","url":null,"abstract":"Decision-making tasks that are based on perception have been performed routinely by human beings in daily life and decision-makers in daily work. It has been observed that the combination of two perception-based decisions could be better than one, provided that the decision-makers communicate with each other and jointly adopt the most confident judgment; simply select the most confident judgment without any dyadic interaction, or communicate with each other on shareable arguments based on reasoning. In this paper, we report a recently conducted visual perception experiment with decisions from nineteen pairs of subjects and their reported confidence factors when making such a decision. Utilizing the concept of a “cognitive diversity” between two systems and the combinatorial fusion algorithm, our results demonstrated that the fusion of two visual perception decision systems can be better than each of the individual systems only if the two systems perform relatively good and they are cognitively diverse. Our study not only provides a robust algorithm to fuse two visual perception decision-making systems, but also suggests a resilient approach to use the cognitive diversity in fusion when the performance of each individual system is not known or cannot be obtained, which is often the case for complex problems.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121054033","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622282
Shuangjia Shao, G. Luo, Jian Luo, Xibin Zhao
Circuit delay computation is important in circuit systems. Petri net can reveal the structure information and dynamic behavior of systems. In this paper the circuit delay computation is concerned based on Petri net. T-Timed Petri net with special inhibitor arcs (ITTPN) is extended. A direct translation method from combinational circuit to ITTPN based on fixed delay model under the assumption of floating mode operation is introduced and a circuit delay computation algorithm based on complete finite prefix is proposed. Finally, an example is included to illustrate the method efficiency.
电路延迟计算在电路系统中占有重要地位。Petri网可以揭示系统的结构信息和动态行为。本文研究了基于Petri网的电路延迟计算。扩展了具有特殊抑制弧的t - time Petri网(ITTPN)。提出了一种基于固定延迟模型的组合电路到ITTPN的直接转换方法，并提出了一种基于完全有限前缀的电路延迟计算算法。最后通过一个算例说明了该方法的有效性。
{"title":"Circuit delay computation based on ITTPN","authors":"Shuangjia Shao, G. Luo, Jian Luo, Xibin Zhao","doi":"10.1109/ICCI-CC.2013.6622282","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622282","url":null,"abstract":"Circuit delay computation is important in circuit systems. Petri net can reveal the structure information and dynamic behavior of systems. In this paper the circuit delay computation is concerned based on Petri net. T-Timed Petri net with special inhibitor arcs (ITTPN) is extended. A direct translation method from combinational circuit to ITTPN based on fixed delay model under the assumption of floating mode operation is introduced and a circuit delay computation algorithm based on complete finite prefix is proposed. Finally, an example is included to illustrate the method efficiency.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127348346","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622283
Jun-ling Yang, Yingying Su, Xianrong Liu, W. Ye
The complex and changing parameters in the furnace are difficult for online measurement in the heating process. To solve this problem, a soft measurement method was explored using the prediction model that is still worthy of being promoted. This paper gets started by constructing a forecast model for the furnace controller, and then the augmented recursive least squares algorithm with an exponential forgetting factor was introduced to perform an unbiased estimate on the parameters. Simulation results show that such a real-time soft measurement approach works well for tracking the parameter fluctuations. Its good robustness provides a reference method for on-line measurement of the furnace parameters.
{"title":"A real-time soft measurement method based on the furnace system parameters of the forecast model","authors":"Jun-ling Yang, Yingying Su, Xianrong Liu, W. Ye","doi":"10.1109/ICCI-CC.2013.6622283","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622283","url":null,"abstract":"The complex and changing parameters in the furnace are difficult for online measurement in the heating process. To solve this problem, a soft measurement method was explored using the prediction model that is still worthy of being promoted. This paper gets started by constructing a forecast model for the furnace controller, and then the augmented recursive least squares algorithm with an exponential forgetting factor was introduced to perform an unbiased estimate on the parameters. Simulation results show that such a real-time soft measurement approach works well for tracking the parameter fluctuations. Its good robustness provides a reference method for on-line measurement of the furnace parameters.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116237788","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622274
Jun Peng, Shangzhu Jin, Liang Lei, Qi Han
Encryption is a usually employed technique to protect the image data from unauthorized access. In this paper, a novel digital image encryption algorithm with a 192-bit key based on the hybrid of chaotic maps and DNA encoding is proposed. When designing the algorithm, we take advantage of the instinct properties of chaos system. The original image is firstly permuted by Arnolds cat Map to obtain the better confusion, then it is encoded into a DNA image by using DNA encoding. After that, each nucleotide of DNA image is transformed into its base pair by means of the complementary rule and XORed with a hyper-chaotic binary sequence. Experimental example and security analyses results show the proposed algorithm effective and secure.
{"title":"Research on a novel image encryption algorithm based on the hybrid of chaotic maps and DNA encoding","authors":"Jun Peng, Shangzhu Jin, Liang Lei, Qi Han","doi":"10.1109/ICCI-CC.2013.6622274","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622274","url":null,"abstract":"Encryption is a usually employed technique to protect the image data from unauthorized access. In this paper, a novel digital image encryption algorithm with a 192-bit key based on the hybrid of chaotic maps and DNA encoding is proposed. When designing the algorithm, we take advantage of the instinct properties of chaos system. The original image is firstly permuted by Arnolds cat Map to obtain the better confusion, then it is encoded into a DNA image by using DNA encoding. After that, each nucleotide of DNA image is transformed into its base pair by means of the complementary rule and XORed with a hyper-chaotic binary sequence. Experimental example and security analyses results show the proposed algorithm effective and secure.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122534084","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622215
Gabriele Fariello
Summary form only given. Connectomics is an emergent discipline of Neuroinformatics that studies how the brain is connected, both anatomically and functionally. A number of projects throughout the neuroscience community have tackled the problem of determining interconnectivity from the nano scale - such as those enabled by laser-scanning light microscopy and semi-automated electron microscopy - to the micro scale of neurons and neuron clusters, to the macro scale of fMRI. The amount of data required to map out the macro scale is in the manageable multi-terabyte range, and largely exists today, while gathering one milometer cubed of synaptic-level data already approaches the multi-petabyte scale and is a few years away. Between these two extremes most likely lies the fastest and most representative path to a useful map of human neuronal connectivity. Although extremely informative on may topics concerning neuronal connectivity, the of the main limitations of the smaller scale approaches are 1) the considerable amount of time and energy needed to have one sample which will likely not be widely representative of a typical human brain and 2) their highly invasive or destructive nature renders them poorly adaptable to living humans.
{"title":"Brain dump: How publicly available fMRI can help inform neuronal network architecture","authors":"Gabriele Fariello","doi":"10.1109/ICCI-CC.2013.6622215","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622215","url":null,"abstract":"Summary form only given. Connectomics is an emergent discipline of Neuroinformatics that studies how the brain is connected, both anatomically and functionally. A number of projects throughout the neuroscience community have tackled the problem of determining interconnectivity from the nano scale - such as those enabled by laser-scanning light microscopy and semi-automated electron microscopy - to the micro scale of neurons and neuron clusters, to the macro scale of fMRI. The amount of data required to map out the macro scale is in the manageable multi-terabyte range, and largely exists today, while gathering one milometer cubed of synaptic-level data already approaches the multi-petabyte scale and is a few years away. Between these two extremes most likely lies the fastest and most representative path to a useful map of human neuronal connectivity. Although extremely informative on may topics concerning neuronal connectivity, the of the main limitations of the smaller scale approaches are 1) the considerable amount of time and energy needed to have one sample which will likely not be widely representative of a typical human brain and 2) their highly invasive or destructive nature renders them poorly adaptable to living humans.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117028454","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622290
Hong Liu, Jiangxin Feng, Shuoliang Wang, X. Zou, Jing Zhou, Jun Yang
Time series analysis is a branch of the strong application of statistical probability. It has a wide range of applications in the field of industrial automation, hydrology, geology, meteorology and other natural domain. However, the application in the oil field development is not extensive. Currently the one-dimensional single variable time series analysis method is used to predict oil and water production. This method, however, is completely isolated without considering the relationship between oil production, water production and pressure. Moreover, it does not take advantage of the evolution and essential characteristics of the entire reservoir system. In this paper, we use multi-variable phase space reconstruction method, not only considering the variation of historical oil production, but also taking the effect of the pressure change and water production change into consideration. This method can provide the information for each prediction and other sequences. The amount of available information had increased significantly, and the accuracy of the prediction had improved greatly.
{"title":"Prediction for the development data of oil field with multi-variable phase space reconstruction method and support vector machines","authors":"Hong Liu, Jiangxin Feng, Shuoliang Wang, X. Zou, Jing Zhou, Jun Yang","doi":"10.1109/ICCI-CC.2013.6622290","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622290","url":null,"abstract":"Time series analysis is a branch of the strong application of statistical probability. It has a wide range of applications in the field of industrial automation, hydrology, geology, meteorology and other natural domain. However, the application in the oil field development is not extensive. Currently the one-dimensional single variable time series analysis method is used to predict oil and water production. This method, however, is completely isolated without considering the relationship between oil production, water production and pressure. Moreover, it does not take advantage of the evolution and essential characteristics of the entire reservoir system. In this paper, we use multi-variable phase space reconstruction method, not only considering the variation of historical oil production, but also taking the effect of the pressure change and water production change into consideration. This method can provide the information for each prediction and other sequences. The amount of available information had increased significantly, and the accuracy of the prediction had improved greatly.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126366857","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622250
Y. Manabe, K. Sugawara
This paper proposes a simple multimodal soft biometic verification method based on fuzzy inference. This study is a part of the challenge to develop an novel natural verification technology that a user doesn't need to hold his/her biometric features to an authentication device. We employ both of static and dynamic features obtained from an appearance of a person in gait. As the result of verification experiment, we show that our developed method works successfully in spite of simple approach and an easy-to-use device.
{"title":"Soft biometric verification by integrating static and dynamic features based on fuzzy inference","authors":"Y. Manabe, K. Sugawara","doi":"10.1109/ICCI-CC.2013.6622250","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622250","url":null,"abstract":"This paper proposes a simple multimodal soft biometic verification method based on fuzzy inference. This study is a part of the challenge to develop an novel natural verification technology that a user doesn't need to hold his/her biometric features to an authentication device. We employ both of static and dynamic features obtained from an appearance of a person in gait. As the result of verification experiment, we show that our developed method works successfully in spite of simple approach and an easy-to-use device.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126494597","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622287
Liang Lei, Jun Peng, Bo Yang
How to quickly retrieval the image is a very action research topic in the research of image retrieval based on Internet because of the large amount of data required by images. We propose a novel image indexing method based on YCbCr color space and design a system to improve retrieval efficiency. The main focus of this study is dimensionality reduction and image index of Web image. First, the paper presents the commonly used methods for image retrieval. Then, it describes how to convert from RGB color space to YCbCr color space, and how to extract 4096- dimensional feature of image based on YCbCr color space. In the end, the method about 4096-trees for image index is discussed. The experiments and results, which based on Corel database, showed that this method has greatly improved the image retrieval in time and precision rates.
{"title":"Image retrieval based on YCbCr color histogram","authors":"Liang Lei, Jun Peng, Bo Yang","doi":"10.1109/ICCI-CC.2013.6622287","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622287","url":null,"abstract":"How to quickly retrieval the image is a very action research topic in the research of image retrieval based on Internet because of the large amount of data required by images. We propose a novel image indexing method based on YCbCr color space and design a system to improve retrieval efficiency. The main focus of this study is dimensionality reduction and image index of Web image. First, the paper presents the commonly used methods for image retrieval. Then, it describes how to convert from RGB color space to YCbCr color space, and how to extract 4096- dimensional feature of image based on YCbCr color space. In the end, the method about 4096-trees for image index is discussed. The experiments and results, which based on Corel database, showed that this method has greatly improved the image retrieval in time and precision rates.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122283841","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622238
Takahiro Uchiya, Syo Itazuro, I. Takumi, Tetsuo Kinoshita
The agent-oriented computing is a technique for generating the agent who operates autonomously according to the behavior knowledge. Moreover, agent can have the characteristic called “Learning” skill. More efficient operation of agents can be expected by realizing “Learning” skill. In this research, our aim is to support agent designer who designs and develops the intelligent agent system equipped with “Learning” skill. We propose interactive design environment for agent system with learning mechanism using repository-based agent framework called DASH framework. Proposed framework enables agent designer to design and implement the learning agents without highly expertise, therefore we can reduce the designer's burden. In this paper, we explain the DASH framework, Q-learning, Profit Sharing and proposed design environment. Moreover we show the effectiveness of the proposal method through the some experiments.
{"title":"IDEAL: Interactive design environment for agent system with learning mechanism","authors":"Takahiro Uchiya, Syo Itazuro, I. Takumi, Tetsuo Kinoshita","doi":"10.1109/ICCI-CC.2013.6622238","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622238","url":null,"abstract":"The agent-oriented computing is a technique for generating the agent who operates autonomously according to the behavior knowledge. Moreover, agent can have the characteristic called “Learning” skill. More efficient operation of agents can be expected by realizing “Learning” skill. In this research, our aim is to support agent designer who designs and develops the intelligent agent system equipped with “Learning” skill. We propose interactive design environment for agent system with learning mechanism using repository-based agent framework called DASH framework. Proposed framework enables agent designer to design and implement the learning agents without highly expertise, therefore we can reduce the designer's burden. In this paper, we explain the DASH framework, Q-learning, Profit Sharing and proposed design environment. Moreover we show the effectiveness of the proposal method through the some experiments.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130856818","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：