{"_buckets": {"deposit": "fb66133a-4f2c-48c2-9db0-dd6d63ea0da9"}, "_deposit": {"id": "8137", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "8137"}, "status": "published"}, "_oai": {"id": "oai:kitami-it.repo.nii.ac.jp:00008137", "sets": ["1"]}, "item_3_alternative_title_198": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "LONGITUDINAL TRUE PROFILE ESTIMATION BY A MOBILE PROFILOMETER FOR EXPRESSWAYS"}]}, "item_3_biblio_info_186": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2014", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "3", "bibliographicPageEnd": "I_48", "bibliographicPageStart": "I_41", "bibliographicVolumeNumber": "70", "bibliographic_titles": [{"bibliographic_title": "\u571f\u6728\u5b66\u4f1a\u8ad6\u6587\u96c6E1\uff08\u8217\u88c5\u5de5\u5b66\uff09"}]}]}, "item_3_description_184": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "\u52a0\u901f\u5ea6\u8a08\u3092\u7528\u3044\u305f\u7c21\u6613\u30e9\u30d5\u30cd\u30b9\u6e2c\u5b9a\u88c5\u7f6e\u3067\u3042\u308b\uff0c\u30e2\u30d0\u30a4\u30eb\u30d7\u30ed\u30d5\u30a3\u30ed\u30e1\u30fc\u30bf(MPM)\u3067\u5f97\u3089\u308c\u308b\u30d7\u30ed\u30d5\u30a1\u30a4\u30eb\u306f\uff0c\u003ci\u003eIRI\u003c/i\u003e(\u56fd\u969b\u30e9\u30d5\u30cd\u30b9\u6307\u6570)\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u8a08\u7b97\u306b\u6700\u9069\u5316\u3055\u308c\u3066\u3044\u308b\u305f\u3081\uff0c\u56fa\u6709\u306e\u8def\u9762\u6ce2\u9577\u691c\u51fa\u7279\u6027\u3092\u6301\u3064\uff0e\u305d\u3053\u3067\uff0c\u672c\u7814\u7a76\u3067\u306f\uff0c\u6ce2\u9577\u691c\u51fa\u7279\u6027\u3092\u30ad\u30e3\u30f3\u30bb\u30eb\u3059\u308b\u7279\u6b8a\u306a\u5fdc\u7b54\u3092\u6301\u3064\u5fa9\u5143\u30d5\u30a3\u30eb\u30bf\u3092\uff0cFFT(\u9ad8\u901f\u30d5\u30fc\u30ea\u30a8\u5909\u63db)\u3092\u7528\u3044\u305f\u4fe1\u53f7\u51e6\u7406\u306b\u57fa\u3065\u304d\u8a2d\u8a08\u3057\uff0cMPM\u306b\u3088\u308b\u7d76\u5bfe\u30d7\u30ed\u30d5\u30a1\u30a4\u30eb\u306e\u63a8\u5b9a\u65b9\u6cd5\u306b\u3064\u3044\u3066\u691c\u8a0e\u3057\u305f\uff0e\u305d\u306e\u7d50\u679c\uff0cMPM\u306b\u3088\u308b\u6e2c\u5b9a\u30d7\u30ed\u30d5\u30a1\u30a4\u30eb\u306f\uff0c\u6c34\u6e96\u6e2c\u91cf\u3068\u306e\u6bd4\u8f03\u3067\uff0c\u9006\u89e3\u6790\u306b\u304a\u3051\u308b\u76f8\u5bfe\u8aa4\u5dee\u304c20.6%\u304b\u308932.7%\u3067\u3042\u308b\u306e\u306b\u5bfe\u3057\uff0c\u5fa9\u5143\u30d5\u30a3\u30eb\u30bf\u306b\u3088\u308b\u63a8\u5b9a\u3067\u306f\uff0c3.8%\u304b\u308912.6%\u3068\uff0c\u6e2c\u5b9a\u7cbe\u5ea6\u304c\u5927\u5e45\u306b\u6539\u5584\u3055\u308c\u305f\uff0e\u307e\u305f\uff0cMPM\u306b\u3088\u308b\uff0c\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u306e\u003ci\u003eIRI\u003c/i\u003e\u6e2c\u5b9a\u306f\uff0c\u6c34\u6e96\u6e2c\u91cf\u306b\u5bfe\u3059\u308b\u76f8\u5bfe\u8aa4\u5dee\u304c\u6700\u5927\u3067\u30825.8%\u3068\uff0c\u5b9f\u7528\u4e0a\u5341\u5206\u306a\u7cbe\u5ea6\u3067\u3042\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u305f\uff0e In recent years, expressway authorities require an effective method for monitoring and measuring surface characteristics of their pavements. This study examines an estimation method of a longitudinal true profile by an accelerometer-based mobile profilometer (MPM) for express way pavements. One of the advantages of the MPM is to capture the information from profile measurements. However, since the measurement algorithm of the MPM is optimized to compute the \u003ci\u003eIRI\u003c/i\u003e in real-time, the back-calculated profile is distorted by the natural frequencies of suspension components. In this study, we examine an estimation technique of a true profile by developing a reconstruction filter to attenuate the distortion in the spatial frequency domain by the Fast Fourier Transform (FFT) method. As the result of a validation experiment, the MPM with reconstruction filters satisfies practical requirements as a profiler that is within 30% error compared with a rod \u0026 level survey. The result also indicates that the MPM basically has a capacity to measure the \u003ci\u003eIRI\u003c/i\u003e in real-time, and the back-calculated profile is appropriate for the purpose.", "subitem_description_type": "Abstract"}]}, "item_3_full_name_183": {"attribute_name": "\u8457\u8005\u5225\u540d", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "42557", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "TOMIYAMA, Kazuya"}]}, {"nameIdentifiers": [{"nameIdentifier": "42558", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "KAWAMURA, Akira"}]}, {"nameIdentifiers": [{"nameIdentifier": "42559", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "OHIRO, Tomonori"}]}]}, "item_3_publisher_212": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u516c\u76ca\u793e\u56e3\u6cd5\u4eba\u3000\u571f\u6728\u5b66\u4f1a"}]}, "item_3_relation_191": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": 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