Pub Date : 2015-03-12DOI: 10.1109/SPACES.2015.7058223
B. Ingre, Anamika Yadav
Anomalous traffic detection on internet is a major issue of security as per the growth of smart devices and this technology. Several attacks are affecting the systems and deteriorate its computing performance. Intrusion detection system is one of the techniques, which helps to determine the system security, by alarming when intrusion is detected. In this paper performance of NSL-KDD dataset is evaluated using ANN. The result obtained for both binary class as well as five class classification (type of attack). Results are analyzed based on various performance measures and better accuracy was found. The detection rate obtained is 81.2% and 79.9% for intrusion detection and attack type classification task respectively for NSL-KDD dataset. The performance of the proposed scheme has been compared with existing scheme and higher detection rate is achieved in both binary class as well as five class classification problems.
{"title":"Performance analysis of NSL-KDD dataset using ANN","authors":"B. Ingre, Anamika Yadav","doi":"10.1109/SPACES.2015.7058223","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058223","url":null,"abstract":"Anomalous traffic detection on internet is a major issue of security as per the growth of smart devices and this technology. Several attacks are affecting the systems and deteriorate its computing performance. Intrusion detection system is one of the techniques, which helps to determine the system security, by alarming when intrusion is detected. In this paper performance of NSL-KDD dataset is evaluated using ANN. The result obtained for both binary class as well as five class classification (type of attack). Results are analyzed based on various performance measures and better accuracy was found. The detection rate obtained is 81.2% and 79.9% for intrusion detection and attack type classification task respectively for NSL-KDD dataset. The performance of the proposed scheme has been compared with existing scheme and higher detection rate is achieved in both binary class as well as five class classification problems.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128425251","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058202
A. Bhuvaneshwari, R. Hemalatha, T. Satyasavithri
The performance of the wireless systems is significantly influenced by multiple reflections in addition to diffraction and scattering propagation effects. The geometric and dielectric properties of the obstacles vary to a large extent in the indoor environment and it is required to model these propagation effects accurately. In this paper, indoor mobile signal strengths are recorded at 2.4 GHz frequency for a wide corridor with glass partitions, in the premises of Deccan College of Engineering and Technology at Hyderabad. The data is collected within 10m from the source of the wireless router. Path loss is extracted from the measurements and comparisons are made with results derived by using two ray, four ray, six ray, and ten ray model. An N ray model is also implemented. Further a generalised ray tracing model is proposed by including diffraction and scattering effects. Diffraction losses due to the partitions are modelled using Fresnel-Kirchoff diffraction parameter and the spreading loss due to scattering is estimated using radar bi static equation. The performance of the proposed ray tracing model is evaluated by computing the error between the measurements and the proposed model. The least values of the error metrics for the proposed model indicate its accuracy in predicting the path loss for Wireless LAN mobile signals in the indoor environment.
{"title":"Path loss prediction analysis by ray tracing approach for NLOS indoor propagation","authors":"A. Bhuvaneshwari, R. Hemalatha, T. Satyasavithri","doi":"10.1109/SPACES.2015.7058202","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058202","url":null,"abstract":"The performance of the wireless systems is significantly influenced by multiple reflections in addition to diffraction and scattering propagation effects. The geometric and dielectric properties of the obstacles vary to a large extent in the indoor environment and it is required to model these propagation effects accurately. In this paper, indoor mobile signal strengths are recorded at 2.4 GHz frequency for a wide corridor with glass partitions, in the premises of Deccan College of Engineering and Technology at Hyderabad. The data is collected within 10m from the source of the wireless router. Path loss is extracted from the measurements and comparisons are made with results derived by using two ray, four ray, six ray, and ten ray model. An N ray model is also implemented. Further a generalised ray tracing model is proposed by including diffraction and scattering effects. Diffraction losses due to the partitions are modelled using Fresnel-Kirchoff diffraction parameter and the spreading loss due to scattering is estimated using radar bi static equation. The performance of the proposed ray tracing model is evaluated by computing the error between the measurements and the proposed model. The least values of the error metrics for the proposed model indicate its accuracy in predicting the path loss for Wireless LAN mobile signals in the indoor environment.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114149865","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058207
R. Roy, A. Panda, A. Mitra
The electromagnetic characterization of dual phase stainless steel (SS2205) containing ferrite and austenite phase has been carried out by a magnetic NDE device MagStar. The efficiency of device has been demonstrated by generating different volume fraction of phases by suitable heat-treatment of the steel. A good correlation has been found between the magnetic and microstructural parameters of heat treated SS2205 steel samples. The magnetic flux density and r.m.s. voltage of magnetic Barkhausen emissions of heat treated steel increase linearly with ferrite percentage.
{"title":"Electromagnetic characterization of steels through magnetic NDE device","authors":"R. Roy, A. Panda, A. Mitra","doi":"10.1109/SPACES.2015.7058207","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058207","url":null,"abstract":"The electromagnetic characterization of dual phase stainless steel (SS2205) containing ferrite and austenite phase has been carried out by a magnetic NDE device MagStar. The efficiency of device has been demonstrated by generating different volume fraction of phases by suitable heat-treatment of the steel. A good correlation has been found between the magnetic and microstructural parameters of heat treated SS2205 steel samples. The magnetic flux density and r.m.s. voltage of magnetic Barkhausen emissions of heat treated steel increase linearly with ferrite percentage.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126676179","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058305
S. K. L. V. Sai Prakash, M. Visali
Long Term Evolution (LTE) a Third Generation Partnership Project (3GPP) is developed for multimedia applications on mobile user equipment with very high data rates of the order 75/300 Mbps and low latency of 10msec. The high data rates are achieved by using SC-FDMA radio access mechanism for uplink communication and OFDM access mechanism for downlink. The performance can be further improved by scheduling the user data in an efficient manner considering channel characteristics as well as its QOS parameters, thereby allocating the resources to maximize the throughput. The Packet Scheduler helps in handling the LTE data traffic by allocating the resources both in time and frequency dimension. In this paper, we propose a novel scheduling algorithm that allocates maximum resources for the random users depending on their channel SNR condition with main focus on the data flow behavior. This is then compared with the two distinct algorithms that focus mainly on flow level dynamics- Fair Fixed Assignment (FFA) and Maximum added value (MAV) algorithms. It is shown that our algorithm outperforms the other two algorithms in terms of mean flow transfer time.
{"title":"On demand SINR based scheduling algorithm (ODSSA) for mobile uplink communication in LTE networks","authors":"S. K. L. V. Sai Prakash, M. Visali","doi":"10.1109/SPACES.2015.7058305","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058305","url":null,"abstract":"Long Term Evolution (LTE) a Third Generation Partnership Project (3GPP) is developed for multimedia applications on mobile user equipment with very high data rates of the order 75/300 Mbps and low latency of 10msec. The high data rates are achieved by using SC-FDMA radio access mechanism for uplink communication and OFDM access mechanism for downlink. The performance can be further improved by scheduling the user data in an efficient manner considering channel characteristics as well as its QOS parameters, thereby allocating the resources to maximize the throughput. The Packet Scheduler helps in handling the LTE data traffic by allocating the resources both in time and frequency dimension. In this paper, we propose a novel scheduling algorithm that allocates maximum resources for the random users depending on their channel SNR condition with main focus on the data flow behavior. This is then compared with the two distinct algorithms that focus mainly on flow level dynamics- Fair Fixed Assignment (FFA) and Maximum added value (MAV) algorithms. It is shown that our algorithm outperforms the other two algorithms in terms of mean flow transfer time.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134500443","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058285
R. B. Vallabhaneni, V. Rajesh
Segmentation is a process for classifying different pixels which are in different range but color segmentation process of identifying the color of the pixel and segmenting the image into different color image. This color segmentation process is carried out by using WATERSHED algorithm which has been proposed earlier to identifying the pixels of same range and noise reduction process. This is applied in medical field for segmenting the MRI and CT scanned image for detecting the tumour present in the brain.
{"title":"BTSWASH: Brain tumour segmentation by water shed algorithm","authors":"R. B. Vallabhaneni, V. Rajesh","doi":"10.1109/SPACES.2015.7058285","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058285","url":null,"abstract":"Segmentation is a process for classifying different pixels which are in different range but color segmentation process of identifying the color of the pixel and segmenting the image into different color image. This color segmentation process is carried out by using WATERSHED algorithm which has been proposed earlier to identifying the pixels of same range and noise reduction process. This is applied in medical field for segmenting the MRI and CT scanned image for detecting the tumour present in the brain.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"95 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113996420","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058292
Jenish R. Gandhi, R. Jhaveri
Mobile ad hoc networks (MANETs) are spontaneously deployed over a geographically limited area without well-established infrastructure. In a distributed Mobile Ad Hoc Network (MANET), collaboration and cooperation is critical concern to managing trust. The networks work well only if the mobile nodes are trusty and behave cooperatively. Due to the openness in network topology and absence of a centralized administration in management, MANETs are very vulnerable to various attacks from malicious nodes. In order to reduce the hazards from such nodes and enhance the security of network, trust-based model is used to evaluate the trustworthiness of nodes. Trust-based approach provides a flexible and feasible approach to choose the shortest route that meets the security requirement of data packets transmission. This paper focuses on trust management with their properties and provides a survey of various trust-based approaches and it proposes some novel conceptions on trust management in MANETs.
{"title":"Addressing packet forwarding misbehaviour using trust-based approach in Ad-hoc networks: A survey","authors":"Jenish R. Gandhi, R. Jhaveri","doi":"10.1109/SPACES.2015.7058292","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058292","url":null,"abstract":"Mobile ad hoc networks (MANETs) are spontaneously deployed over a geographically limited area without well-established infrastructure. In a distributed Mobile Ad Hoc Network (MANET), collaboration and cooperation is critical concern to managing trust. The networks work well only if the mobile nodes are trusty and behave cooperatively. Due to the openness in network topology and absence of a centralized administration in management, MANETs are very vulnerable to various attacks from malicious nodes. In order to reduce the hazards from such nodes and enhance the security of network, trust-based model is used to evaluate the trustworthiness of nodes. Trust-based approach provides a flexible and feasible approach to choose the shortest route that meets the security requirement of data packets transmission. This paper focuses on trust management with their properties and provides a survey of various trust-based approaches and it proposes some novel conceptions on trust management in MANETs.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114714226","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058214
Hari Krishna, Vydana P Phani, K. K. Sri, R. Krishna
In recent past a lot of scientific attention is paid on recognizing the emotional state of the speaker from his speech. Emotion recognition is a challenging task as human emotions are complex, subtle and emotive state in human speech does not persist long. So it is important to study the presence of emotion identifiable information in smaller segments of speech. This study is aimed at studying the presence of emotional specific information with relevance to the position of the word in the utterance. During the present study, spectral features are employed to represent emotion specific information in speech. Spectral features from smaller speech segments of speech based on their position in the utterance are employed to study the presence of emotion in speech. Due to the lack of adequate data in small speech segments to support conventional GMM during the course of present study Gaussian mixture modeling with a universal background model (GMM-UBM) is used for developing a emotion recognition system. Speech data from IITKGP-SESC is used during the course of the present study. During the present study 4 (Anger, Fear, Happy and Neutral) emotions are considered.
{"title":"Improved emotion recognition using GMM-UBMs","authors":"Hari Krishna, Vydana P Phani, K. K. Sri, R. Krishna","doi":"10.1109/SPACES.2015.7058214","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058214","url":null,"abstract":"In recent past a lot of scientific attention is paid on recognizing the emotional state of the speaker from his speech. Emotion recognition is a challenging task as human emotions are complex, subtle and emotive state in human speech does not persist long. So it is important to study the presence of emotion identifiable information in smaller segments of speech. This study is aimed at studying the presence of emotional specific information with relevance to the position of the word in the utterance. During the present study, spectral features are employed to represent emotion specific information in speech. Spectral features from smaller speech segments of speech based on their position in the utterance are employed to study the presence of emotion in speech. Due to the lack of adequate data in small speech segments to support conventional GMM during the course of present study Gaussian mixture modeling with a universal background model (GMM-UBM) is used for developing a emotion recognition system. Speech data from IITKGP-SESC is used during the course of the present study. During the present study 4 (Anger, Fear, Happy and Neutral) emotions are considered.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130160069","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058250
A. Biswas, V. Gupta
A simple planar monopole antenna structure is presented in this paper. The proposed antenna gives desirable performance in two band of frequencies ranging from 1.70-2.16 GHz and 3.7-3.9 GHz covering thirteen full LTE bands Bl, B2, B3, B4, B9, BIO, B25, B33, B34, B35, B36, B37, B39 and one LTE band-B43 partially. The parametric study is incorporated to obtain an optimized geometry. The designed antenna structure is simulated using IE3D simulation software and the simulated curves of s-parameter, radiation pattern, gain and efficiency are presented and discussed.
{"title":"A multiband antenna design for long term evolution (LTE) application","authors":"A. Biswas, V. Gupta","doi":"10.1109/SPACES.2015.7058250","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058250","url":null,"abstract":"A simple planar monopole antenna structure is presented in this paper. The proposed antenna gives desirable performance in two band of frequencies ranging from 1.70-2.16 GHz and 3.7-3.9 GHz covering thirteen full LTE bands Bl, B2, B3, B4, B9, BIO, B25, B33, B34, B35, B36, B37, B39 and one LTE band-B43 partially. The parametric study is incorporated to obtain an optimized geometry. The designed antenna structure is simulated using IE3D simulation software and the simulated curves of s-parameter, radiation pattern, gain and efficiency are presented and discussed.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115209941","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058208
B. Suresh, S. Subhani, S. Suparshya Babu, S. Babu
Active thermographic studies using non stationary coded thermal wave imaging methods facilitate deeper sub surface analysis with better depth resolution even with relatively low peak powers. They exhibit a variation in detection capability due to their diversity in shape and frequency content etc., In order to compare the ability of these schemes in spite of their diversity, a common feature based analysis has been adopted in this contribution. It emphasizes the concept of matched energy among various processing methods used for the subsurface analysis of Barker coded and Digitized Frequency Modulated Thermal Wave Imaging methods. Experimentation has been carried out to find the detectability of different schemes and quantified in terms of signal to noise ratio of subsurface anomalies.
{"title":"Matched energy modality for non stationary thermal wave imaging","authors":"B. Suresh, S. Subhani, S. Suparshya Babu, S. Babu","doi":"10.1109/SPACES.2015.7058208","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058208","url":null,"abstract":"Active thermographic studies using non stationary coded thermal wave imaging methods facilitate deeper sub surface analysis with better depth resolution even with relatively low peak powers. They exhibit a variation in detection capability due to their diversity in shape and frequency content etc., In order to compare the ability of these schemes in spite of their diversity, a common feature based analysis has been adopted in this contribution. It emphasizes the concept of matched energy among various processing methods used for the subsurface analysis of Barker coded and Digitized Frequency Modulated Thermal Wave Imaging methods. Experimentation has been carried out to find the detectability of different schemes and quantified in terms of signal to noise ratio of subsurface anomalies.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131607964","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058284
S. Vaishali, Dr. K. Kishan Rao, Dr. G. V. Subba Rao
Segmentation plays a vital role in extracting information from medical images. Segmentation is the process of partitioning the image into distinct regions. Magnetic resonance imaging is used to extract images of soft tissues of human body. It is used to analyze the human organs without the need for surgery. Generally MRI images contain a significant amount of noise caused by operator performance, equipment and the environment, which leads to serious inaccuracies MRI seems to be efficient in providing information regarding the location of tumors and even the volume. The noise present in the MRI image can be removed by using various de-noising techniques whichever is best suited depending upon the image acquired and then can be processed by any of the segmentation methods. The noise in MRI images may be due to field strength, RF pulses, RF coil, voxel volume, or receiver bandwidth. A review of various de-noising methods are presented.
{"title":"A review on noise reduction methods for brain MRI images","authors":"S. Vaishali, Dr. K. Kishan Rao, Dr. G. V. Subba Rao","doi":"10.1109/SPACES.2015.7058284","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058284","url":null,"abstract":"Segmentation plays a vital role in extracting information from medical images. Segmentation is the process of partitioning the image into distinct regions. Magnetic resonance imaging is used to extract images of soft tissues of human body. It is used to analyze the human organs without the need for surgery. Generally MRI images contain a significant amount of noise caused by operator performance, equipment and the environment, which leads to serious inaccuracies MRI seems to be efficient in providing information regarding the location of tumors and even the volume. The noise present in the MRI image can be removed by using various de-noising techniques whichever is best suited depending upon the image acquired and then can be processed by any of the segmentation methods. The noise in MRI images may be due to field strength, RF pulses, RF coil, voxel volume, or receiver bandwidth. A review of various de-noising methods are presented.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123886782","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：