Pub Date : 2017-12-01DOI: 10.1109/SKIMA.2017.8294123
Dóra Ori
In this paper, an analytical solution is built to approach the topic of strategic misalignment from an EA-based perspective. The study aims to accomplish an EA-based, systematic analysis of mismatches between business and information systems. The research takes a rule-based approach to reveal the symptoms of malfunctioning alignment areas. In this study, the analytical potential of rule generation and rule testing are utilized in complex EA environment. Misalignment symptoms — defined as formal rules — are detected in the underlying EA models by using XML analysis tools. Rule construction and rule testing are supported by Schematron, a pattern-based XML validation language. The operation, the correctness and the significance of the approach is validated via a compound case study at a road management authority. The proposed research has the potential to extend our understanding on assessing the state of misalignment in a complex EA model structure by applying rule testing and XML validation techniques in EA environment.
{"title":"A rule-based approach to business-IT misalignment symptom detection","authors":"Dóra Ori","doi":"10.1109/SKIMA.2017.8294123","DOIUrl":"https://doi.org/10.1109/SKIMA.2017.8294123","url":null,"abstract":"In this paper, an analytical solution is built to approach the topic of strategic misalignment from an EA-based perspective. The study aims to accomplish an EA-based, systematic analysis of mismatches between business and information systems. The research takes a rule-based approach to reveal the symptoms of malfunctioning alignment areas. In this study, the analytical potential of rule generation and rule testing are utilized in complex EA environment. Misalignment symptoms — defined as formal rules — are detected in the underlying EA models by using XML analysis tools. Rule construction and rule testing are supported by Schematron, a pattern-based XML validation language. The operation, the correctness and the significance of the approach is validated via a compound case study at a road management authority. The proposed research has the potential to extend our understanding on assessing the state of misalignment in a complex EA model structure by applying rule testing and XML validation techniques in EA environment.","PeriodicalId":22294,"journal":{"name":"The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)","volume":"149 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77341257","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 : 2016-01-01DOI: 10.1109/SKIMA.2016.7916266
Jie Li, Tian-zheng Wang, Fan Hu
{"title":"Adaptive noise reduction algorithm based on gradient in wavelet feature domain","authors":"Jie Li, Tian-zheng Wang, Fan Hu","doi":"10.1109/SKIMA.2016.7916266","DOIUrl":"https://doi.org/10.1109/SKIMA.2016.7916266","url":null,"abstract":"","PeriodicalId":22294,"journal":{"name":"The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)","volume":"37 1","pages":"460-463"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86281219","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 : 2015-12-01DOI: 10.1109/SKIMA.2015.7399983
E. Mendes
In today's cutthroat product and services industries, software has become the main driver for competitive advantage, enabling faster and cheaper innovation and product differentiation with no domain restriction. As the size and complexity of software-based solutions increase, so does the impact of software development decisions on the overall product offering. That is, any decision taken regarding software product/project management and development (e.g. what features to design, what level of quality to offer, or which technology to choose) will impact the entire product's/project's life cycle and value, not to mention that it limits future possibilities and direction of both the software and the business. Numerous companies worldwide deliver software intensive products and services. One of their major challenges is caused by most often taking product/project management decisions considering only the shortterm costs (cost estimates) while ignoring long-term value aspects for the business, for example sustainability and innovation. To sustain growth, maintain competitive advantage and to innovate, such companies must make a paradigm shift by also adopting long-term value aspects in order to guide their decision-making. Such need is clearly pressing in innovative industries, such as ICT and Digital Services. The goal of this talk is to present a value-based software engineering framework that enables companies to co-create prediction models to provide estimates of the overall value of decision scenarios relating to software product/project management within the domains of ICT and digital services, and “what-if” scenarios that can be compared and contrasted, thus enabling better decision-making and contributing to enhanced decision makers' mental models (tacit knowledge).
{"title":"Key note speech 1: Predicting the overall value of decisions relating to software","authors":"E. Mendes","doi":"10.1109/SKIMA.2015.7399983","DOIUrl":"https://doi.org/10.1109/SKIMA.2015.7399983","url":null,"abstract":"In today's cutthroat product and services industries, software has become the main driver for competitive advantage, enabling faster and cheaper innovation and product differentiation with no domain restriction. As the size and complexity of software-based solutions increase, so does the impact of software development decisions on the overall product offering. That is, any decision taken regarding software product/project management and development (e.g. what features to design, what level of quality to offer, or which technology to choose) will impact the entire product's/project's life cycle and value, not to mention that it limits future possibilities and direction of both the software and the business. Numerous companies worldwide deliver software intensive products and services. One of their major challenges is caused by most often taking product/project management decisions considering only the shortterm costs (cost estimates) while ignoring long-term value aspects for the business, for example sustainability and innovation. To sustain growth, maintain competitive advantage and to innovate, such companies must make a paradigm shift by also adopting long-term value aspects in order to guide their decision-making. Such need is clearly pressing in innovative industries, such as ICT and Digital Services. The goal of this talk is to present a value-based software engineering framework that enables companies to co-create prediction models to provide estimates of the overall value of decision scenarios relating to software product/project management within the domains of ICT and digital services, and “what-if” scenarios that can be compared and contrasted, thus enabling better decision-making and contributing to enhanced decision makers' mental models (tacit knowledge).","PeriodicalId":22294,"journal":{"name":"The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)","volume":"30 1","pages":"I-II"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85990599","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 : 2014-12-01DOI: 10.1109/SKIMA.2014.7083554
M. Rahman, A. Al Mamun, K. Yao
In order to achieve high precision positioning accuracy, the mechanical resonant modes should be suppressed properly in hard disk servo system. The popular conventional method is the open-loop approach where a notch filter is used along with a nominal controller. In this paper, a discrete time adaptive compensator is presented in an efficient and simple way to suppress the effects of resonant modes of the voice coil motor (VCM) actuator of the hard disk drive. Extensive simulation results on the plant model extracted from a commercial hard disk drive demonstrate the effectiveness of the controller.
{"title":"Adaptive resonance compensation with the application to hard disk drive","authors":"M. Rahman, A. Al Mamun, K. Yao","doi":"10.1109/SKIMA.2014.7083554","DOIUrl":"https://doi.org/10.1109/SKIMA.2014.7083554","url":null,"abstract":"In order to achieve high precision positioning accuracy, the mechanical resonant modes should be suppressed properly in hard disk servo system. The popular conventional method is the open-loop approach where a notch filter is used along with a nominal controller. In this paper, a discrete time adaptive compensator is presented in an efficient and simple way to suppress the effects of resonant modes of the voice coil motor (VCM) actuator of the hard disk drive. Extensive simulation results on the plant model extracted from a commercial hard disk drive demonstrate the effectiveness of the controller.","PeriodicalId":22294,"journal":{"name":"The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)","volume":"34 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84511137","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 : 2014-12-01DOI: 10.1109/SKIMA.2014.7083563
M. Omar, Md. Alamgir Hossain, Li Zhang, Hubert P. H. Shum
Diabetic retinopathy is considered in terms of the presence of exudates which cause vision loss in the areas affected. This study targets the development of an intelligent mobile-based automatic diagnosis integrated with a microscopic lens to identify retinal diseases at initial stage at any time or place. Exudate detection is a significant step in order obtaining an early diagnosis of diabetic retinopathy, and if they are segmented accurately, laser treatment can be applied effectively. Consequently, precise segmentation is the fundamental step in exudate extraction. This paper proposes a technique for exudate segmentation in colour retinal images using morphological operations. In this method, after pre-processing, the optic disc and blood vessels are isolated from the retinal image. Exudates are then segmented by a combination of morphological operations such as the modified regionprops function and a reconstruction technique. The proposed technique is verified against the DIARETDB1 database and achieves 85.39% sensitivity. The proposed technique achieves better exudate detection results in terms of sensitivity than other recent methods reported in the literature. In future work, our system will be deployed to a mobile platform to allow efficient and instant diagnosis.
{"title":"An intelligent mobile-based automatic diagnostic system to identify retinal diseases using mathematical morphological operations","authors":"M. Omar, Md. Alamgir Hossain, Li Zhang, Hubert P. H. Shum","doi":"10.1109/SKIMA.2014.7083563","DOIUrl":"https://doi.org/10.1109/SKIMA.2014.7083563","url":null,"abstract":"Diabetic retinopathy is considered in terms of the presence of exudates which cause vision loss in the areas affected. This study targets the development of an intelligent mobile-based automatic diagnosis integrated with a microscopic lens to identify retinal diseases at initial stage at any time or place. Exudate detection is a significant step in order obtaining an early diagnosis of diabetic retinopathy, and if they are segmented accurately, laser treatment can be applied effectively. Consequently, precise segmentation is the fundamental step in exudate extraction. This paper proposes a technique for exudate segmentation in colour retinal images using morphological operations. In this method, after pre-processing, the optic disc and blood vessels are isolated from the retinal image. Exudates are then segmented by a combination of morphological operations such as the modified regionprops function and a reconstruction technique. The proposed technique is verified against the DIARETDB1 database and achieves 85.39% sensitivity. The proposed technique achieves better exudate detection results in terms of sensitivity than other recent methods reported in the literature. In future work, our system will be deployed to a mobile platform to allow efficient and instant diagnosis.","PeriodicalId":22294,"journal":{"name":"The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76924622","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 : 2014-12-01DOI: 10.1109/SKIMA.2014.7083552
Asraful Alam Pathan, M. Hasan, Md Ferdous Ahmed, Dewan Md. Farid
Educational data mining (EDM) is a branch of data mining and machine learning research to develop new ways to analysis educational data from an educational system. Recently, EDM an rising field of data mining and educational systems. EDM uses traditional mining algorithms to analyses educational data in order to understand and improve the students' learning process. In this paper, we present a decision tree (DT) based mining model for developing students C programming skills. DT is a rule set, which is a top-down recursive divide and conquer mining algorithm in supervised learning. We have collected data from 70 students of Structured Programming Language (SLP) course and generated two datasets StuBehEduInfo and QuickTestInfo. The StuBehEduInfo dataset contains student behavioural and past educational attributes. The QuickTestInfo dataset contains simple C programming questions. Then using these datasets we built two decision trees that can classify the students into three groups (Good, Average, & poor), so we can take extra care of the weakest students. The proposed decision tree models can correctly classify 87% students.
{"title":"Educational data mining: A mining model for developing students' programming skills","authors":"Asraful Alam Pathan, M. Hasan, Md Ferdous Ahmed, Dewan Md. Farid","doi":"10.1109/SKIMA.2014.7083552","DOIUrl":"https://doi.org/10.1109/SKIMA.2014.7083552","url":null,"abstract":"Educational data mining (EDM) is a branch of data mining and machine learning research to develop new ways to analysis educational data from an educational system. Recently, EDM an rising field of data mining and educational systems. EDM uses traditional mining algorithms to analyses educational data in order to understand and improve the students' learning process. In this paper, we present a decision tree (DT) based mining model for developing students C programming skills. DT is a rule set, which is a top-down recursive divide and conquer mining algorithm in supervised learning. We have collected data from 70 students of Structured Programming Language (SLP) course and generated two datasets StuBehEduInfo and QuickTestInfo. The StuBehEduInfo dataset contains student behavioural and past educational attributes. The QuickTestInfo dataset contains simple C programming questions. Then using these datasets we built two decision trees that can classify the students into three groups (Good, Average, & poor), so we can take extra care of the weakest students. The proposed decision tree models can correctly classify 87% students.","PeriodicalId":22294,"journal":{"name":"The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)","volume":"85 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76985302","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 : 2014-12-01DOI: 10.1109/SKIMA.2014.7083548
G.M.A Ehsanur Rahman, Md. Abdul Mukit, R. Mostafa, K. Ahmed, Murtaza Ali
Telemedicine is being widely studied and implemented to make healthcare accessible to remote areas. This paper presents development and demonstration of ECG measurement prototype system designed for telemedicine application. The prototype e-ECG system is based on MDK board from Texas Instrument (TI) and has been augmented with transmission/reception capability through GPRS modem. Software for ECG recording, display, transmission to remote server and downloading has also been developed. Recorded ECG plots can be made readily available to a consultant in an urban hospital and diagnosis can be provided to the patient in a very short span of time. The system has been successfully demonstrated in different environments.
{"title":"Development and demonstration of a prototype e-ECG system for telemedicine application","authors":"G.M.A Ehsanur Rahman, Md. Abdul Mukit, R. Mostafa, K. Ahmed, Murtaza Ali","doi":"10.1109/SKIMA.2014.7083548","DOIUrl":"https://doi.org/10.1109/SKIMA.2014.7083548","url":null,"abstract":"Telemedicine is being widely studied and implemented to make healthcare accessible to remote areas. This paper presents development and demonstration of ECG measurement prototype system designed for telemedicine application. The prototype e-ECG system is based on MDK board from Texas Instrument (TI) and has been augmented with transmission/reception capability through GPRS modem. Software for ECG recording, display, transmission to remote server and downloading has also been developed. Recorded ECG plots can be made readily available to a consultant in an urban hospital and diagnosis can be provided to the patient in a very short span of time. The system has been successfully demonstrated in different environments.","PeriodicalId":22294,"journal":{"name":"The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)","volume":"103 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85838945","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 : 2014-12-01DOI: 10.1109/SKIMA.2014.7083551
Mohammed Taha Elhariri Essamlali, A. Sekhari, A. Bouras, S. Santiteerakul, Y. Ouzrout
Meta-Product (MP) is a new evolution of product that involves with network of services, products, people, and environment. From an industrial point of view, this evolution shifts from a material multiplication to an information generated by human actions. Meta-Products require more complex elements than generic products and need the involvement of multidisciplinary team (garment designers, sensor networks designers and application developers). Therefore, a new product development methodology that improves network collaboration is required. The main objective of this work is to propose a new methodology for the collaborative development of intelligent wearable Meta-Products. The proposed methodology contributes for a clear understanding about the steps to be used during the design and development of new Meta-Products.
{"title":"The methodology for collaborative development of intelligent wearable Meta-Products","authors":"Mohammed Taha Elhariri Essamlali, A. Sekhari, A. Bouras, S. Santiteerakul, Y. Ouzrout","doi":"10.1109/SKIMA.2014.7083551","DOIUrl":"https://doi.org/10.1109/SKIMA.2014.7083551","url":null,"abstract":"Meta-Product (MP) is a new evolution of product that involves with network of services, products, people, and environment. From an industrial point of view, this evolution shifts from a material multiplication to an information generated by human actions. Meta-Products require more complex elements than generic products and need the involvement of multidisciplinary team (garment designers, sensor networks designers and application developers). Therefore, a new product development methodology that improves network collaboration is required. The main objective of this work is to propose a new methodology for the collaborative development of intelligent wearable Meta-Products. The proposed methodology contributes for a clear understanding about the steps to be used during the design and development of new Meta-Products.","PeriodicalId":22294,"journal":{"name":"The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)","volume":"4 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82059008","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 : 2014-12-01DOI: 10.1109/SKIMA.2014.7083522
Shakil Ahmed, Md Tanzir Kabir, Navid Tanzeem Mahmood, R. Rahman
The paper develops and presents a diagnosis system based on fuzzy logic to report the healthiness of a patient's kidney. The data we chose for our study is obtained from various diagnosis results of kidney patients of Birdem Hospital, Dhaka. For the fuzzy system, we use a total of seven input variables as follows: nephron functionality, blood sugar, systolic and diastolic blood pressure, age, weight, and alcohol intake. The result, i.e., the healthiness of kidney is measured in the range of 0 to 10. Our expert system is implemented in the fuzzy logic toolbox built in the Matlab software.
{"title":"Diagnosis of kidney disease using fuzzy expert system","authors":"Shakil Ahmed, Md Tanzir Kabir, Navid Tanzeem Mahmood, R. Rahman","doi":"10.1109/SKIMA.2014.7083522","DOIUrl":"https://doi.org/10.1109/SKIMA.2014.7083522","url":null,"abstract":"The paper develops and presents a diagnosis system based on fuzzy logic to report the healthiness of a patient's kidney. The data we chose for our study is obtained from various diagnosis results of kidney patients of Birdem Hospital, Dhaka. For the fuzzy system, we use a total of seven input variables as follows: nephron functionality, blood sugar, systolic and diastolic blood pressure, age, weight, and alcohol intake. The result, i.e., the healthiness of kidney is measured in the range of 0 to 10. Our expert system is implemented in the fuzzy logic toolbox built in the Matlab software.","PeriodicalId":22294,"journal":{"name":"The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)","volume":"7 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75972344","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 : 2014-12-01DOI: 10.1109/SKIMA.2014.7083557
Md. Imran Khan, Raktim Kumar Mondol
Architecture of simple, portable, low cost Chlorophyll estimator based on Field Programmable Gate Array (FPGA) is proposed in this paper. Color of leaf can give an indication for assessment of plant health and nutrient. Performance analysis of several regression model shows that multivariate linear regression model with nonlinear terms provides best fit between estimated Chlorophyll values with image data. We find that the residuals are near in baseline and the adjusted coefficient of determination (Raa2 is 0.99 which is very significant. Root mean square error (RMSE) is 3.3 out of 15 leaf image samples with 5 error degrees of freedom (EDF). Hardware architecture is designed as best regression model has less computational complexity and greater accuracy.
{"title":"FPGA Based Leaf Chlorophyll estimating regression model","authors":"Md. Imran Khan, Raktim Kumar Mondol","doi":"10.1109/SKIMA.2014.7083557","DOIUrl":"https://doi.org/10.1109/SKIMA.2014.7083557","url":null,"abstract":"Architecture of simple, portable, low cost Chlorophyll estimator based on Field Programmable Gate Array (FPGA) is proposed in this paper. Color of leaf can give an indication for assessment of plant health and nutrient. Performance analysis of several regression model shows that multivariate linear regression model with nonlinear terms provides best fit between estimated Chlorophyll values with image data. We find that the residuals are near in baseline and the adjusted coefficient of determination (Raa2 is 0.99 which is very significant. Root mean square error (RMSE) is 3.3 out of 15 leaf image samples with 5 error degrees of freedom (EDF). Hardware architecture is designed as best regression model has less computational complexity and greater accuracy.","PeriodicalId":22294,"journal":{"name":"The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87121287","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：