{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T23:40:32Z","timestamp":1764978032767,"version":"3.46.0"},"reference-count":14,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,21]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    In the tourism industry, the sales of local specialties is an important part, and the package design and integrity of the specialties are very important. This paper first introduced the support vector machine (SVM) algorithm that was used for detecting defects on the surface of paper packages. Then, the design of red wind packages was briefly described, and the simulation experiment was carried out on SVM algorithm using red wine packages with different degrees of surface defects. Proper parameters were tested using the\n                    <jats:italic>k<\/jats:italic>\n                    -fold cross-validation method. The results demonstrated that the properties of paper improved the value of packages and the SVM algorithm had better accuracy than artificial recognition in recognizing different degrees of defects on the surface of packages. In conclusion, this paper describes the application of paper in packages and provides an effective method for the defection of defects on the surface of packages. This study provides an effective references to the improvement of package values and the enhancement of package integrity.\n                  <\/jats:p>","DOI":"10.1515\/jisys-2020-0134","type":"journal-article","created":{"date-parts":[[2021,5,21]],"date-time":"2021-05-21T16:49:49Z","timestamp":1621615789000},"page":"720-727","source":"Crossref","is-referenced-by-count":1,"title":["Design of tourism package with paper and the detection and recognition of surface defects\u2009\u2013\u2009taking the paper package of red wine as an example"],"prefix":"10.1515","volume":"30","author":[{"given":"Congrui","family":"Gao","sequence":"first","affiliation":[{"name":"School of Art and Design, Zhengzhou University of Light Industry, No. 5, Dongfeng Road, Jinshui District , Zhengzhou , Henan 450000 , China"}]}],"member":"374","published-online":{"date-parts":[[2021,5,21]]},"reference":[{"key":"2025120523322332387_j_jisys-2020-0134_ref_001","doi-asserted-by":"crossref","unstructured":"Liao KH. 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The influence of package size and flute type of corrugated boxes on load bridging in unit loads. Packag Technol Sci. 2017;30:33\u201343.","DOI":"10.1002\/pts.2279"},{"key":"2025120523322332387_j_jisys-2020-0134_ref_011","doi-asserted-by":"crossref","unstructured":"Wang CL, Li ZR, Dey N. Histogram of oriented gradient based plantar pressure image feature extraction and classification employing fuzzy support vector machine. J Med Imag Health In. 2018;8(4):842\u201354.","DOI":"10.1166\/jmihi.2018.2310"},{"key":"2025120523322332387_j_jisys-2020-0134_ref_012","doi-asserted-by":"crossref","unstructured":"Wang SL, Ding XH, Zhu DY, Yu HJ, Wang HH. Measurement uncertainty evaluation in whiplash test model via neural network and support vector machine-based Monte Carlo method. Measurement. 2018;119:229\u201345.","DOI":"10.1016\/j.measurement.2018.01.065"},{"key":"2025120523322332387_j_jisys-2020-0134_ref_013","unstructured":"Hamit M, Yun WK, Yan CB, Kutluk A, Fang Y, Alip, E. 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