Pub Date : 2012-12-01DOI: 10.1109/ICCITECHN.2012.6509703
M. M. Islam, M. B. Uddin, Mohiudding Ahmad, F. Khatun, Md. Nafiur Rahman Protik, M. Mehedi
In this work, we evaluate the effect of having energy drinks (ED) using laser doppler flowmetry (LDF) technique by analyzing blood perfusion and ECG signal after having energy drinks on different healthy human subjects. After having energy drinks, it is observed that the amplitude of blood perfusion signal increases around two fold. Further analyzing frequency spectrum of the blood perfusion signal using Fast Fourier transform, we have determined the effect of having energy drinks on respiratory and heart function. A significant change in heart activity after having energy drinks has been observed. The amplitude of frequency spectrum of LDF signal related to heart activity increase around three fold. The amplitude of ECG signal and amplitude of frequency spectrum also increase in response to having energy drinks. A little change is observed in respiratory activity as the amplitude of frequency spectrum of LDF signal corresponding to respiratory activity increases around 1.5 times after having energy drinks.
{"title":"Determination of the effect of having energy drinks on respiratory and heart function analyzing blood perfusion signal","authors":"M. M. Islam, M. B. Uddin, Mohiudding Ahmad, F. Khatun, Md. Nafiur Rahman Protik, M. Mehedi","doi":"10.1109/ICCITECHN.2012.6509703","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509703","url":null,"abstract":"In this work, we evaluate the effect of having energy drinks (ED) using laser doppler flowmetry (LDF) technique by analyzing blood perfusion and ECG signal after having energy drinks on different healthy human subjects. After having energy drinks, it is observed that the amplitude of blood perfusion signal increases around two fold. Further analyzing frequency spectrum of the blood perfusion signal using Fast Fourier transform, we have determined the effect of having energy drinks on respiratory and heart function. A significant change in heart activity after having energy drinks has been observed. The amplitude of frequency spectrum of LDF signal related to heart activity increase around three fold. The amplitude of ECG signal and amplitude of frequency spectrum also increase in response to having energy drinks. A little change is observed in respiratory activity as the amplitude of frequency spectrum of LDF signal corresponding to respiratory activity increases around 1.5 times after having energy drinks.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114835622","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 : 2012-12-01DOI: 10.1109/ICCITECHN.2012.6509779
Sujan Chowdhury, Prithwi Raj Chakraborty, A. K. Chowdhury, Md. Liaz Mahamud Lemon
This paper presents a dynamic approach for online mobile phone recharge. Over the past several years, percentage of overall prepaid users has increased rapidly. However, the recharging process is still somehow manual. The system proposed in this paper shows an automated way to recharge the prepaid account. This approach will have a great business impact both in local and global aspects. The effectiveness has been proved with a SMSC server and a recharge SIM.
{"title":"Automated recharge of prepaid mobile phones","authors":"Sujan Chowdhury, Prithwi Raj Chakraborty, A. K. Chowdhury, Md. Liaz Mahamud Lemon","doi":"10.1109/ICCITECHN.2012.6509779","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509779","url":null,"abstract":"This paper presents a dynamic approach for online mobile phone recharge. Over the past several years, percentage of overall prepaid users has increased rapidly. However, the recharging process is still somehow manual. The system proposed in this paper shows an automated way to recharge the prepaid account. This approach will have a great business impact both in local and global aspects. The effectiveness has been proved with a SMSC server and a recharge SIM.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117223888","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 : 2012-12-01DOI: 10.1109/ICCITECHN.2012.6509714
Mozammel H. A. Khan
Reversible circuit dissipates less heat than irreversible circuit. A promising use of reversible circuit may be embedding of reversible circuits in irreversible general purpose computers to allow low-power design. In this paper, we embed an n-bit classical ALU on reversible circuit, which can perform addition, subtraction, EXOR, EXNOR, AND, NAND, OR, NOR, and NOT operations on n-bit data. The quantum realization of our n-bit ALU requires 27n — 10 primitive quantum gates with quantum circuit width of 4n + 5. The known reversible n-bit ALU capable of performing only mod 2n addition, subtraction, negative subtraction, EXOR, and no-operation requires 22n — 10 primitive quantum gates with quantum circuit width of 2n + 5. With a marginal increase of quantum primitive gate count and nearly doubling the quantum circuit width, our ALU implements a larger set of operation needed for general purpose computing.
{"title":"Classical arithmetic logic unit embedded on reversible/quantum circuit","authors":"Mozammel H. A. Khan","doi":"10.1109/ICCITECHN.2012.6509714","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509714","url":null,"abstract":"Reversible circuit dissipates less heat than irreversible circuit. A promising use of reversible circuit may be embedding of reversible circuits in irreversible general purpose computers to allow low-power design. In this paper, we embed an n-bit classical ALU on reversible circuit, which can perform addition, subtraction, EXOR, EXNOR, AND, NAND, OR, NOR, and NOT operations on n-bit data. The quantum realization of our n-bit ALU requires 27n — 10 primitive quantum gates with quantum circuit width of 4n + 5. The known reversible n-bit ALU capable of performing only mod 2n addition, subtraction, negative subtraction, EXOR, and no-operation requires 22n — 10 primitive quantum gates with quantum circuit width of 2n + 5. With a marginal increase of quantum primitive gate count and nearly doubling the quantum circuit width, our ALU implements a larger set of operation needed for general purpose computing.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125818144","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 : 2012-12-01DOI: 10.1109/ICCITECHN.2012.6509808
Tasnim Ferdous
To meet the faster processing demand in consumer electronics, performance efficient DSP processor design is important. This paper presents a novel design and FPGA-based implementation of a 32 bit DSP processor to achieve high performance gain for reduced instruction set DSP processors. The proposed design includes a hazard-optimized pipelined architecture and a dedicated single cycle integer MAC to enhance the processing speed. Performance of the designed processor is evaluated against existing similar reduced instruction set DSP processor (MUN DSP-2000). Synthesis results and performance analysis of each system building component confirmed a significant performance improvement in the proposed DSP processor over the compared one.
{"title":"Design and FPGA-based implementation of a high performance 32-bit DSP processor","authors":"Tasnim Ferdous","doi":"10.1109/ICCITECHN.2012.6509808","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509808","url":null,"abstract":"To meet the faster processing demand in consumer electronics, performance efficient DSP processor design is important. This paper presents a novel design and FPGA-based implementation of a 32 bit DSP processor to achieve high performance gain for reduced instruction set DSP processors. The proposed design includes a hazard-optimized pipelined architecture and a dedicated single cycle integer MAC to enhance the processing speed. Performance of the designed processor is evaluated against existing similar reduced instruction set DSP processor (MUN DSP-2000). Synthesis results and performance analysis of each system building component confirmed a significant performance improvement in the proposed DSP processor over the compared one.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128490749","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 : 2012-12-01DOI: 10.1109/ICCITECHN.2012.6509760
Mohammad Motiur Rahman, P. K. M. Kumar, Md. Gauhar Arefin, Mohammad Shorif Uddin
In this paper we present and evaluate a novel method for an efficient speckle denoising by using principal component analysis (PCA) with bit plane slicing and nonlinear diffusion. We use PCA transformation for generating de-correlated dataset from a noisy image. Then we apply bit plane slicing on the de-correlated dataset and nonlinear diffusion is applied on each bit plane. For nonlinear diffusion in each bit plane level, a gradient threshold is automatically estimated. Add up all bit plane slice after nonlinear diffusion execution and then we implement inverse principal component analysis for making denoised images. The proposed speckle reduction method could improve image quality and the visibility of small structures and fine details in medical ultrasound imaging compared with state-of-the-art speckle denoising algorithms.
{"title":"Speckle noise reduction from ultrasound images using principal component analysis with bit plane slicing and nonlinear diffusion method","authors":"Mohammad Motiur Rahman, P. K. M. Kumar, Md. Gauhar Arefin, Mohammad Shorif Uddin","doi":"10.1109/ICCITECHN.2012.6509760","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509760","url":null,"abstract":"In this paper we present and evaluate a novel method for an efficient speckle denoising by using principal component analysis (PCA) with bit plane slicing and nonlinear diffusion. We use PCA transformation for generating de-correlated dataset from a noisy image. Then we apply bit plane slicing on the de-correlated dataset and nonlinear diffusion is applied on each bit plane. For nonlinear diffusion in each bit plane level, a gradient threshold is automatically estimated. Add up all bit plane slice after nonlinear diffusion execution and then we implement inverse principal component analysis for making denoised images. The proposed speckle reduction method could improve image quality and the visibility of small structures and fine details in medical ultrasound imaging compared with state-of-the-art speckle denoising algorithms.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132313589","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 : 2012-12-01DOI: 10.1109/ICCITECHN.2012.6509806
Mohammad Monirrujjman Khan, Q. Abbasi, Nabila Hossain, R. Afroze, A. A. Masud
In this paper, the effects of different body sizes and shapes on the narrowband (2.45 GHz) on-body radio propagation channels are investigated. Three different human body sizes (thin, medium build and fatty/larger size) are investigated. Experimental investigation is performed using Printed Monopole antennas in the indoor environments. Thirty four different receiver locations on the front part of the body are considered for calculating the path loss. Results show that due to three different human body shapes maximum of 20.3% variation in path loss exponent is observed.
{"title":"On-body radio channel measurements for three different human body sizes","authors":"Mohammad Monirrujjman Khan, Q. Abbasi, Nabila Hossain, R. Afroze, A. A. Masud","doi":"10.1109/ICCITECHN.2012.6509806","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509806","url":null,"abstract":"In this paper, the effects of different body sizes and shapes on the narrowband (2.45 GHz) on-body radio propagation channels are investigated. Three different human body sizes (thin, medium build and fatty/larger size) are investigated. Experimental investigation is performed using Printed Monopole antennas in the indoor environments. Thirty four different receiver locations on the front part of the body are considered for calculating the path loss. Results show that due to three different human body shapes maximum of 20.3% variation in path loss exponent is observed.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123257381","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 : 2012-12-01DOI: 10.1109/ICCITECHN.2012.6509713
Mobarakol Islam, Md. Rihab Rana, Tanzina Rahman, M. Shahjahan
Chaos appears in many real and artificial systems. Inspired from the presence of chaos in human brain, we attempt to formulate neural network (NN) training method. The method uses a composite chaotic learning rate (CCLR) to train a neural network. CCLR generates a composite chaotic time series consisting of three different chaotic sources such as Mackey Glass, Logistic Map and Lorenz Attractor and a rescaled version of the series is used as learning rate (LR) during NN training. It gives two advantages — similarity with biological phenomena and possibility of jumping from local minima. In addition, the weight update may be accelerated in the local minimum zone due to chaotic variation of LR. CCLR is extensively tested on five real world benchmark classification problems such as diabetes, time series, horse, glass and soybean. The proposed CCLR outperforms the existing BP and BPCL in terms of generalization ability and also convergence rate.
{"title":"A biologically plausible neural network training algorithm with composite chaos","authors":"Mobarakol Islam, Md. Rihab Rana, Tanzina Rahman, M. Shahjahan","doi":"10.1109/ICCITECHN.2012.6509713","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509713","url":null,"abstract":"Chaos appears in many real and artificial systems. Inspired from the presence of chaos in human brain, we attempt to formulate neural network (NN) training method. The method uses a composite chaotic learning rate (CCLR) to train a neural network. CCLR generates a composite chaotic time series consisting of three different chaotic sources such as Mackey Glass, Logistic Map and Lorenz Attractor and a rescaled version of the series is used as learning rate (LR) during NN training. It gives two advantages — similarity with biological phenomena and possibility of jumping from local minima. In addition, the weight update may be accelerated in the local minimum zone due to chaotic variation of LR. CCLR is extensively tested on five real world benchmark classification problems such as diabetes, time series, horse, glass and soybean. The proposed CCLR outperforms the existing BP and BPCL in terms of generalization ability and also convergence rate.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116080004","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 : 2012-12-01DOI: 10.1109/ICCITECHN.2012.6509809
B. Pal, M. Hasan
In this paper backpropagation learning algorithm and genetic algorithm is applied for network intrusion detection and also to classify the detected attacks into proper types. During the training process of the backpropagation algorithm two possible set of features in the rule sets are used separately to determine proper rule set features for better performance. Then the performance of genetic algorithm is compared to the performance of both of the backpropagation approach. The process is tested on training dataset as well as test dataset to analyze the performance. It is found that in detecting the attack connections backpropagation algorithm shows better performance but in classifying the detected attacks into proper types the genetic algorithm approach is more successful.
{"title":"Neural network & genetic algorithm based approach to network intrusion detection & comparative analysis of performance","authors":"B. Pal, M. Hasan","doi":"10.1109/ICCITECHN.2012.6509809","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509809","url":null,"abstract":"In this paper backpropagation learning algorithm and genetic algorithm is applied for network intrusion detection and also to classify the detected attacks into proper types. During the training process of the backpropagation algorithm two possible set of features in the rule sets are used separately to determine proper rule set features for better performance. Then the performance of genetic algorithm is compared to the performance of both of the backpropagation approach. The process is tested on training dataset as well as test dataset to analyze the performance. It is found that in detecting the attack connections backpropagation algorithm shows better performance but in classifying the detected attacks into proper types the genetic algorithm approach is more successful.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132708755","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 : 2012-12-01DOI: 10.1109/ICCITECHN.2012.6509741
M. Othman, A. Qayoom, A. Wahab
Executive function is a set of mental processes commonly linked with the activation of the brain's prefrontal cortex. While many studies have focused on EF in adulthood, the development of EF in children is yet to be understood. This paper proposes a new approach for understanding children's reactions during EF tasks by mapping their EEG signals onto the 2D valence-arousal affective space model. Brain signals of ten pre-school children aged between 4–6 years (male: 5; female: 5) were collected while they play the standardized version of the Dimensional Change Card Sort. Behavioral results in terms of percentage of correct responses and response time did not vary significantly across gender. Emotion mapping using the valence-arousal model showed that boys tend to be consistent in their emotion during pre-switch and post-switch tasks. The emotion of girls, however, tends to shift towards neutral state during the post-switch test regardless of their initial emotions in the pre-switch phase.
{"title":"Affective mapping of EEG during executive function tasks","authors":"M. Othman, A. Qayoom, A. Wahab","doi":"10.1109/ICCITECHN.2012.6509741","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509741","url":null,"abstract":"Executive function is a set of mental processes commonly linked with the activation of the brain's prefrontal cortex. While many studies have focused on EF in adulthood, the development of EF in children is yet to be understood. This paper proposes a new approach for understanding children's reactions during EF tasks by mapping their EEG signals onto the 2D valence-arousal affective space model. Brain signals of ten pre-school children aged between 4–6 years (male: 5; female: 5) were collected while they play the standardized version of the Dimensional Change Card Sort. Behavioral results in terms of percentage of correct responses and response time did not vary significantly across gender. Emotion mapping using the valence-arousal model showed that boys tend to be consistent in their emotion during pre-switch and post-switch tasks. The emotion of girls, however, tends to shift towards neutral state during the post-switch test regardless of their initial emotions in the pre-switch phase.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114320365","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 : 2012-12-01DOI: 10.1109/ICCITECHN.2012.6509757
Asif Zaman, Md. Mahbubul Islam, Md. Anisuzzaman Siddique, Y. Morimoto
Skyline query function is one of promising information filtering methods. Skyline queries return a set of interesting data objects that are not dominated by any other object on all dimensions. Therefore in this paper, we consider k-dominant skyline computation when the underlying dataset is partitioned into geographically distant computing core that are connected to the coordinator (server). The existing solutions are not suitable for our problem, because they are restricted to centralized query processors, limiting scalability and imposing a single point of failure. In this paper, we developed a distributed k-dominant skyline queries (DKSQ) computation algorithm. Where the coordinator iteratively transmits data to each computing core. Computing core is able to prune a large amount of local data, which otherwise would need to be sent to the coordinator. Extensive performance study shows that proposed algorithm is efficient and robust to different data distributions.
{"title":"Distributed k-dominant skyline queries","authors":"Asif Zaman, Md. Mahbubul Islam, Md. Anisuzzaman Siddique, Y. Morimoto","doi":"10.1109/ICCITECHN.2012.6509757","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509757","url":null,"abstract":"Skyline query function is one of promising information filtering methods. Skyline queries return a set of interesting data objects that are not dominated by any other object on all dimensions. Therefore in this paper, we consider k-dominant skyline computation when the underlying dataset is partitioned into geographically distant computing core that are connected to the coordinator (server). The existing solutions are not suitable for our problem, because they are restricted to centralized query processors, limiting scalability and imposing a single point of failure. In this paper, we developed a distributed k-dominant skyline queries (DKSQ) computation algorithm. Where the coordinator iteratively transmits data to each computing core. Computing core is able to prune a large amount of local data, which otherwise would need to be sent to the coordinator. Extensive performance study shows that proposed algorithm is efficient and robust to different data distributions.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114355902","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：