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A dual band omni-directional antenna for WAVE and Wi-Fi 双频全向天线，支持WAVE和Wi-Fi
2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA) Pub Date : 2017-04-01 DOI: 10.1109/CSCITA.2017.8066522
Ani Taggu, Bikram Patir, U. Bhattacharjee
{"title":"A dual band omni-directional antenna for WAVE and Wi-Fi","authors":"Ani Taggu, Bikram Patir, U. Bhattacharjee","doi":"10.1109/CSCITA.2017.8066522","DOIUrl":"https://doi.org/10.1109/CSCITA.2017.8066522","url":null,"abstract":"Vehicles of today are increasingly being networked via various available networking technologies. IEEE 802.11p advocates Vehicle-to-Vehicle and Vehicle-to-Infrastructure communication via Wireless Access in Vehicular Environments (WAVE) between vehicles in the frequency range of 5.9 GHz. Also, IEEE 802.11j proposes the usage of 4.9 GHz frequency range for Wi-Fi. This paper proposes a dual band antenna that is capable of operating in both the WAVE and Wi-Fi bands. This proposed antenna is expected to be simple, easy-to-produce and inexpensive; it can be a cost-effective alternative to use of multiple directional antennas for vehicles. The choice of microstrip patch antenna technology with defected ground structure (DGS) was driven by cost considerations and ease of bulk manufacturing. This omni-directional antenna is expected to be fitted in a central location in the vehicle to avoid requirement of two or more directional antennas. The proposed antenna is characterized by popular antenna design software Ansoft HFSS.","PeriodicalId":299147,"journal":{"name":"2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127635949","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}
引用次数: 1
Pixel N-grams for mammographic lesion classification 用于乳腺x线照相病变分类的像素n图
2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA) Pub Date : 1900-01-01 DOI: 10.1109/CSCITA.2017.8066534
Pradnya Kulkarni, A. Stranieri, J. Ugon, Manish Mittal, S. Kulkarni
{"title":"Pixel N-grams for mammographic lesion classification","authors":"Pradnya Kulkarni, A. Stranieri, J. Ugon, Manish Mittal, S. Kulkarni","doi":"10.1109/CSCITA.2017.8066534","DOIUrl":"https://doi.org/10.1109/CSCITA.2017.8066534","url":null,"abstract":"Automated classification algorithms have been applied to breast cancer diagnosis in order to improve the diagnostic accuracy and turnover time. However, classification accuracy, sensitivity and specificity could still be improved further. Moreover, reducing computational cost is another challenge as the number of images to be analyzed is typically large. In this paper, a novel Pixel N-gram approach inspired from character N-grams in the text retrieval context has been applied for mammographic lesion classification. The experiments on real world database demonstrate that the Pixel N-grams outperform the existing histogram as well as Haralick features with respect to classification accuracy as well as sensitivity. Effect of varying N and using various classifiers is also analyzed in this paper. Results show that optimum value of N is equal to 3 and MLP classifier performs better than SVM and KNN classifier using 3-gram features.","PeriodicalId":299147,"journal":{"name":"2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114520939","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}
引用次数: 1
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