{"_buckets": {"deposit": "a30b3516-f58b-438a-bb5f-2f1e9c76b0cc"}, "_deposit": {"id": "13541", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "13541"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00013541"}, "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "A Wireless LAN Location Estimation Method Based on Gaussian Mixture Model"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2011-03-15", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "3", "bibliographicPageEnd": "1081", "bibliographicPageStart": "1069", "bibliographicVolumeNumber": "52", "bibliographic_titles": [{"bibliographic_title": "\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "\u30e2\u30d0\u30a4\u30eb\u7aef\u672b\u306e\u666e\u53ca\u3084,\u5bb6\u5ead\u3084\u516c\u5171\u65bd\u8a2d\u306a\u3069\u3078\u306e\u7121\u7ddaLAN \u30a2\u30af\u30bb\u30b9\u30dd\u30a4\u30f3\u30c8\u306e\u8a2d\u7f6e\u500b\u6240\u306e\u5897\u52a0\u306b\u3068\u3082\u306a\u3044,\u5c4b\u5185\u30fb\u5c4b\u5916\u3092\u554f\u308f\u305a\u96fb\u6ce2\u3092\u53d7\u4fe1\u53ef\u80fd\u306a\u7121\u7ddaLAN\u60c5\u5831\u3092\u5229\u7528\u3057\u305f\u4f4d\u7f6e\u63a8\u5b9a\u624b\u6cd5\u304c\u6ce8\u76ee\u3055\u308c\u3066\u3044\u308b.\u4e00\u822c\u306b\u5c4b\u5185\u306b\u304a\u3051\u308b\u4f4d\u7f6e\u63a8\u5b9a\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u306f\u5c4b\u5916\u306b\u6bd4\u3079\u3066\u9ad8\u3044\u7cbe\u5ea6\u304c\u7d30\u304b\u3044\u6642\u9593\u5e45\u3067\u8981\u6c42\u3055\u308c\u308b.\u3057\u304b\u3057\u5f93\u6765\u306e\u7121\u7ddaLAN\u4f4d\u7f6e\u63a8\u5b9a\u624b\u6cd5\u3067\u306f,\u63a8\u5b9a\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b\u306f\u975e\u5e38\u306b\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304c\u5fc5\u8981\u3067\u3042\u308a,\u304b\u3064\u81a8\u5927\u306a\u8a08\u7b97\u91cf\u304c\u5fc5\u8981\u3067\u3042\u308b\u3068\u3044\u3046\u8ab2\u984c\u304c\u3042\u308b.\u305d\u3053\u3067\u672c\u7814\u7a76\u3067\u306f,\u307e\u305a\u5927\u898f\u6a21\u306a\u7121\u7ddaLAN\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092Gaussian Mixture Model(GMM)\u306b\u3088\u3063\u3066\u8868\u73fe\u3059\u308b\u3053\u3068\u3067,\u7121\u7ddaLAN\u60c5\u5831\u306e\u30c7\u30fc\u30bf\u91cf\u3092\u5f93\u6765\u306e95%\u4ee5\u4e0a\u524a\u6e1b\u3059\u308b\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b.\u6b21\u306b,\u8a08\u7b97\u91cf\u3092\u8abf\u6574\u53ef\u80fd\u306a Particle Filter\u3092\u7528\u3044\u305f\u4f4d\u7f6e\u63a8\u5b9a\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b.\u8a55\u4fa1\u5b9f\u9a13\u3092\u5b9f\u65bd\u3057\u305f\u74b0\u5883\u3067\u306f,\u672c\u624b\u6cd5\u306b\u3088\u308a6\u301c10m\u7a0b\u5ea6\u306e\u7cbe\u5ea6\u3067\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u4f4d\u7f6e\u63a8\u5b9a\u304c\u53ef\u80fd\u3067\u3042\u3063\u305f. Recently, location estimation systems using WLAN are getting popular, because WLAN access points are widely introduced to general houses and public facilities. We can receive the signal of WLAN regardless of indoor and outdoor, so that WLAN is available for indoor location estimation. Conventional researches of location estimation have a problem that needs a huge WLAN database and a large computation. In this paper, we propose a modeling method of WLAN database using Gaussian Mixture Model (GMM) and a location estimation method using particle filter. Consequently, we succeeded in reducing the amount of WLAN data to about 5%. In this time\u0027s experiment environment, accuracy of realtime location estimation was about 6\u301c10m.", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/15440"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u60c5\u5831\u51e6\u7406\u5b66\u4f1a"}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "\u3053\u3053\u306b\u63b2\u8f09\u3057\u305f\u8457\u4f5c\u7269\u306e\u5229\u7528\u306b\u95a2\u3059\u308b\u6ce8\u610f \u672c\u8457\u4f5c\u7269\u306e\u8457\u4f5c\u6a29\u306f\uff08\u793e\uff09\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u306b\u5e30\u5c5e\u3057\u307e\u3059\u3002\u672c\u8457\u4f5c\u7269\u306f\u8457\u4f5c\u6a29\u8005\u3067\u3042\u308b\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u306e\u8a31\u53ef\u306e\u3082\u3068\u306b\u63b2\u8f09\u3059\u308b\u3082\u306e\u3067\u3059\u3002\u3054\u5229\u7528\u306b\u5f53\u305f\u3063\u3066\u306f\u300c\u8457\u4f5c\u6a29\u6cd5\u300d\u306a\u3089\u3073\u306b\u300c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u502b\u7406\u7db1\u9818\u300d\u306b\u5f93\u3046\u3053\u3068\u3092\u304a\u9858\u3044\u3044\u305f\u3057\u307e\u3059\u3002 Notice for the use of this material The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). 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Mail to address editj\u003cat\u003eipsj.or.jp, please."}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_source_id_7": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "0387-5806", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u85e4\u7530, \u8fea"}], "nameIdentifiers": [{"nameIdentifier": "42733", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u68b6, \u514b\u5f66"}], "nameIdentifiers": [{"nameIdentifier": "42734", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u6cb3\u53e3, \u4fe1\u592b"}], "nameIdentifiers": [{"nameIdentifier": "42735", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Fujita, Susumu"}], "nameIdentifiers": [{"nameIdentifier": "42736", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Kaji, Katsuhiko"}], "nameIdentifiers": [{"nameIdentifier": "42737", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Kawaguchi, Nobuo"}], "nameIdentifiers": [{"nameIdentifier": "42738", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-20"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "fujita-ipsjjournal2010.pdf", "filesize": [{"value": "2.7 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 2700000.0, "url": {"label": "fujita-ipsjjournal2010.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/13541/files/fujita-ipsjjournal2010.pdf"}, "version_id": "0d08e930-d5bb-47d7-a167-93b62e9fb872"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Gaussian Mixture Model \u3092\u7528\u3044\u305f\u7121\u7ddaLAN\u4f4d\u7f6e\u63a8\u5b9a\u624b\u6cd5", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Gaussian Mixture Model \u3092\u7528\u3044\u305f\u7121\u7ddaLAN\u4f4d\u7f6e\u63a8\u5b9a\u624b\u6cd5"}]}, "item_type_id": "10", "owner": "1", "path": ["320/321/322"], "permalink_uri": "http://hdl.handle.net/2237/15440", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2011-09-06"}, "publish_date": "2011-09-06", "publish_status": "0", "recid": "13541", "relation": {}, "relation_version_is_last": true, "title": ["Gaussian Mixture Model \u3092\u7528\u3044\u305f\u7121\u7ddaLAN\u4f4d\u7f6e\u63a8\u5b9a\u624b\u6cd5"], "weko_shared_id": null}