• Title/Summary/Keyword: classification of products

Search Result 607, Processing Time 0.024 seconds

Deep learning-based product image classification system and its usability evaluation for the O2O shopping mall platform (딥 러닝 기반 쇼핑몰 플랫폼용 상품 이미지 자동 분류 시스템 및 사용성 평가)

  • Sung, Jae-Kyung;Park, Sang-Min;Sin, Sang-Yun;Kim, Yung-Bok;Kim, Yong-Guk
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.17 no.3
    • /
    • pp.227-234
    • /
    • 2017
  • In this paper, we propose a system whereby one can automatically classifies categories based on image data of the products for a shopping mall platform. Many products sold within internet shopping malls are classified their category defined by the same use of product names and products. However, it is difficult to search by category classification when the classification of the product is uncertain and the product classified by the shopping mall seller judgment is different from the purchasing user judgment. We proposes classification and retrieval method by Deep Learning technique solely using product image. The system can categorize products by using their images and its speed and accuracy are quantified using test data. The performance is evaluated with the test data. In addition, its usability is tested with the participants.

A Study on Risk Evaluation and Classification of Fire Equipments for Certification (소방용품의 강제인증을 위한 위험도평가 및 품목분류에 관한 연구)

  • Choi, Gi-Heung
    • Journal of the Korean Society of Safety
    • /
    • v.24 no.6
    • /
    • pp.7-12
    • /
    • 2009
  • This study focuses on the classification of fire equipments for certification based on the risk evaluation. In general, known statistics on fire equipment-related accidents needs to be used for risk evaluation. When statistics is not available, however, expected frequency and severity of accident for individual equipment can be taken into account in evaluating the related risks. Based on the level of inherent risks, each equipment is then classified into three categories for certification. For equipments that risk evaluation is not possible, characteristics of those products such as reliability are considered for classification. Once classified, each equipment is assigned an appropriate certification module.

Classification system of fruits by color image processing (칼라 영상처리에 의한 과일분류시스템)

  • 최연호;부기동;구본호
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.5 no.3
    • /
    • pp.65-70
    • /
    • 2000
  • In general, the quality of agricultural products is determined by direct measurement of a weight or a magnitude, and it is determined by indirect or non-destructive method. In this paper, using color image processing, the algorithm to determine its quality and grading is presented. And the algorithm is applied to real-time citrus classifier. In the system, the size and color of orange are measured by not the sight of human but the digital image processing. The citrus classification system has the real-time maximum classification capacity of six quantify per one second. The system can be applied to controller design for the quality classification of agricultural products.

  • PDF

Classification Proposals for Spray Type and Airborne Fraction Ratio of Consumer Chemical Products (분무형 생활화학제품의 분사형태 분류제안과 부유비율 평가)

  • Sung Ho Hwang;Minjung Kim;Mincheol Kim;Jeung Yeon Park;Hyunbin Jo;Myoung Ho Lee;Kiyoung Lee;Kyungduk Zoh;Chungsik Yoon
    • Journal of Environmental Health Sciences
    • /
    • v.49 no.6
    • /
    • pp.305-311
    • /
    • 2023
  • Background: The National Institute of Environmental Research (NIER)'s classification of and airborne fraction ratio for consumer chemical products (CCP) does not reflect the characteristics of various product classifications. Objectives: The purpose of this study was to reclassify the types of spray products according to the diverse spray characteristics of CCPs to evaluate the airborne fraction ratio of representative spray types and to compare them with previous CCPs types and airborne fraction ratios. Methods: One thousand seven hundred two products were selected through market research, and 932 newly reported products were selected. After that, 200 were selected to evaluate products with potential inhalation exposure. After classifying six product types that are expected to show differences in the airborne fraction ratio according to the type of product, a final 38 products were selected for use in the airborne fraction ratio through random sampling. Results: CCP has been reclassified from two to six types so that the characteristics of all products are well-reflected. The NIER simply had two airborne fraction ratios, but the results of experiments with six types of products showed a significant difference in values (p<0.01). Airborne fraction ratios of propellant general foam, pump general aerosol, and pump trigger foam in spray type, which were not previously present in NIER, were 7.1%, 24.4%, and 3.5%, respectively. Conclusions: For the diversified types of CCPs, the newly proposed classification was more appropriate than the existing NIER classification. The airborne fraction ratio was also different for each type, so a new value was suggested.

A Classification Model for Customs Clearance Inspection Results of Imported Aquatic Products Using Machine Learning Techniques (머신러닝 기법을 활용한 수입 수산물 통관검사결과 분류 모델)

  • Ji Seong Eom;Lee Kyung Hee;Wan-Sup Cho
    • The Journal of Bigdata
    • /
    • v.8 no.1
    • /
    • pp.157-165
    • /
    • 2023
  • Seafood is a major source of protein in many countries and its consumption is increasing. In Korea, consumption of seafood is increasing, but self-sufficiency rate is decreasing, and the importance of safety management is increasing as the amount of imported seafood increases. There are hundreds of species of aquatic products imported into Korea from over 110 countries, and there is a limit to relying only on the experience of inspectors for safety management of imported aquatic products. Based on the data, a model that can predict the customs inspection results of imported aquatic products is developed, and a machine learning classification model that determines the non-conformity of aquatic products when an import declaration is submitted is created. As a result of customs inspection of imported marine products, the nonconformity rate is less than 1%, which is very low imbalanced data. Therefore, a sampling method that can complement these characteristics was comparatively studied, and a preprocessing method that can interpret the classification result was applied. Among various machine learning-based classification models, Random Forest and XGBoost showed good performance. The model that predicts both compliance and non-conformance well as a result of the clearance inspection is the basic random forest model to which ADASYN and one-hot encoding are applied, and has an accuracy of 99.88%, precision of 99.87%, recall of 99.89%, and AUC of 99.88%. XGBoost is the most stable model with all indicators exceeding 90% regardless of oversampling and encoding type.

Analysis and hazard classification for the monomers in thermoplastic resins (열가소성 수지의 단량체 분석 및 유해성 분류)

  • Lee, Kwon Seob;Jo, Ji-Hun;Choi, Jin hee;Choi, Sung bong;Lee, Jong Han;Yang, Jeong Sun
    • Journal of Korean Society of Occupational and Environmental Hygiene
    • /
    • v.17 no.4
    • /
    • pp.322-334
    • /
    • 2007
  • This study covers the investigation of the actual condition in the workplace to produce plastics products using synthetic resins and the investigation on the trends amount of the domestic production of thermoplastic resins. To analyze the monomers included in thermoplastic resins frequently used in the workplace, we analyzed thermal characteristics for test compounds using thermogravimetric analysis and did the qualitative analysis using Pyrolyzer GC-MSD & TDS GC-MSD. And then we classified the health hazard of monomers based on GHS classification criteria using information toxicity & carcinogenicity. The number of the workplace to produce plastics products among all domestic manufacturers of 73,884 was 4,391 (5.94%). The number of workers to produce plastics products among all workers of 2,522,750 in all domestic manufacturers was 104,971 (4.16%). The amount of production per year for thermoplastic resins is in the order of PP, HDPE, LDPE, PVC, ABS, PS and such compounds was producing over 1 Million ton per year each. The classification result based on GHS classification criteria for 22 main compounds included thermoplastic resins says 2 compounds of acrylonitrile, naphthalene are in Acute oral category 3 and benzene is in Acute dermal category 1. The classification results of health hazard of carcinogenicity based on IARC & ACGIH carcinogen classification says 2 compounds of benzene, vinyl chloride are in category 1A (known to be human carcinogens).

A Semantic Classification Model for e-Catalogs

  • Kim, Dong-Kyu;Lee, Sang-Goo;Chun, Jong-Hoon
    • Proceedings of the CALSEC Conference
    • /
    • 2004.02a
    • /
    • pp.302-309
    • /
    • 2004
  • ·Catalogs -information about products and services -Contents + Classification Schema + Operational Issues ·What do we do with them? -[Schulten, et a;, 2001] ‥Narrow down search for complete set of applicable products ‥Comprehend individual description to the precision needed -Support other applications that use product information ‥SCM, ERP, e-Procurement, etc. ·Catalog Management System -Design, storage, navigation & retrieval, transformation, communication, publication(omitted)

  • PDF

Study on the Fishery Products Classification Dispute Cases - Focusing on the Classification of Dosidicus Gigas Squid Species (수산물 품목분류 분쟁사례에 관한 연구-도시디쿠스(Dosidicus)속 기가스(Gigas)종 오징어 품목분류 사례를 중심으로)

  • Min-Gyu Park
    • The Journal of Fisheries Business Administration
    • /
    • v.53 no.4
    • /
    • pp.51-67
    • /
    • 2022
  • The Korean tariff rate for fishery products is a single tax rate of 10% for live fish and frozen seafood, and 20% for all others. Since FTAs have been concluded with several countries, the tariffs is not an appropriate means to protect domestic fishery producers. The differential tariff rate according to the scientific name (genus) of the fishery products, which was implemented 30 years ago to protect fishery products produced in the Korean coastal waters has lost its original purpose. It seems that future fishery trade policy should focus on IUU prevention, hygiene and safety of consumers rather than protecting fishery producers through customs tariffs. This paper suggest that a paradigm shift in the fishery producers protection policies such as direct financial support from the state, protection and development of fishery resources, and support for fostering the 6th industry rather than indirect protection through tariffs.

GDAS and UNSPSC for the Distribution Industry (유통산업에 적용되는 GDAS와 UNSPSC 분류체계)

  • 이창수
    • Proceedings of the Korean Operations and Management Science Society Conference
    • /
    • 2001.10a
    • /
    • pp.265-268
    • /
    • 2001
  • As growing the electronic commerce there are significant changes in the products/services catalog into the on-line environment. Advertent of e-catalog business opportunity for their own product/services enlarges the market volume and there are diverse methods for the presentation of its product/services. A method for the presentation of product/services features one uses identification and classification system. This study constructs a classification system and database layout for the product/services classification system as a part of e-catalog system. We consider the specific method for the GDAS-based dataset and UNSPSC classification system in the distribution industry.

  • PDF

Current Drug Classification System in Korea and Its Improvement (우리나라의 현행 의약품분류체계에 대한 고찰 및 개선 방안)

  • Sohn, Hyun-Soon;Oh, Ock-Hee;Kim, Jong-Joo;Lee, So-Hyun;Byun, Sun-Hye;Shin, Hyun-Taek
    • Korean Journal of Clinical Pharmacy
    • /
    • v.15 no.2
    • /
    • pp.139-148
    • /
    • 2005
  • Appropriate drug classification is important fur rational drug consumption. This study was conducted to evaluate the appropriateness of current drug classification system and suggest possible ways for improving the system. Nonprescription drug market has been decreased. Since total 27,962 products had been classified (prescription 17,187 vs. nonprescription 10,775 products, 61.5% vs. 38.5%) in July 2000 for implementing separation of drug prescribing and dispensing system, there are no classification changes. Reclassification is not motivated by product holder and regulatory system did not lead classification change either. Consumers' ease access to some nonprescription drugs is demanded. But point of public awareness and cultural and health environmental views, saff drug use rather than advantages from broad supply of nonprescription drugs is more critical. We concluded that current 2-categorized (prescription and nonprescription) drug classification system is appropriate, and addition of general sale category should be approached carefully with long term Preparations such as establishment of better nonprescription drug consuming infrastructure by public information provision and education for improving public medicinal knowledge and strengthening self medication guidance, and review of current classification status of marketed drugs and switching possibilities. For systemizing and encouraging reclassification, introduction of regulatory renewal system as a continuous reevaluation program which is the best way to review appropriateness of drug classification as well as provision of detailed guidance for industry including policy, requirement and process fer reclassification application, are necessary.

  • PDF