• Title/Summary/Keyword: Label

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A Study on Consumer Complaints over Lables on children's Clothing (유.아동복 레이블의 불만에 관한연구)

  • 박선경;홍지명;이정순;신혜원;유호선
    • Journal of the Korean Society of Clothing and Textiles
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    • v.23 no.2
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    • pp.307-313
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    • 1999
  • This study investigated material the type(sewn-in stamped-on etc) of the label and its placement(location on the product) on children's clothing in order to survey consumer complaints to suggest the improvement. The data were collected from label-producing companies by surveying children's clothing displayed at department store as well as by questionnaire to 205 consumers who were mothers of preschool children. The results were as follows : 1. 100% polyester was the most used raw material for brand labels and nylon was for care labels. 2. Most brand labels were one piece labels and located inside the back of neck line by sewn-in either on the top on each sides or on all four sides, Care labels were usually sewn-in on the inside of left-side seam line. The texture of care label was softer than that of brand label and two pieces of care labels were widely used, 3. 67.3% of consumers complained of its stiffness while 36.1% of consumers complained of rough surface and edge 85.4% of consumers complained of an itch caused by brand labels and claimed to detach labels. For care labels 36.6% expressed displeasure of stiffness of labels while 39% complained of annoyance due to too many pieces of labels. 4. Major suggestions from the consumers were change of raw materials and relocation of brand labels. For the care labels changes of material form and type of labels were suggested and one piece of label and smaller size were preferable.

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An Efficient Deep Learning Ensemble Using a Distribution of Label Embedding

  • Park, Saerom
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.1
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    • pp.27-35
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    • 2021
  • In this paper, we propose a new stacking ensemble framework for deep learning models which reflects the distribution of label embeddings. Our ensemble framework consists of two phases: training the baseline deep learning classifier, and training the sub-classifiers based on the clustering results of label embeddings. Our framework aims to divide a multi-class classification problem into small sub-problems based on the clustering results. The clustering is conducted on the label embeddings obtained from the weight of the last layer of the baseline classifier. After clustering, sub-classifiers are constructed to classify the sub-classes in each cluster. From the experimental results, we found that the label embeddings well reflect the relationships between classification labels, and our ensemble framework can improve the classification performance on a CIFAR 100 dataset.

Understanding and Use of Nutrition Labeling based on One Serving Size Among Female Consumers in Seoul Area (서울지역 여성소비자의 1회 제공량 기준 영양표시의 이용실태)

  • Shin, Doo-Jee;Jung, Kyoung-Wan;Lee, Gui-Chu;Kwon, Kwang-Il;Kim, Jee-Young;Kim, John-Wook;Moon, Gui-Im;Park, Hye-Kyung;Cho, Yoon-Mi;Kim, Yoo-Kyung
    • Journal of the Korean Society of Food Culture
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    • v.25 no.6
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    • pp.725-733
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    • 2010
  • This study examined the understanding and use of information on nutrition labels based on one serving size among female consumers above the age of 20 in Seoul area. According to the survey, 69.9% of respondents were aware of the current system of nutrition labeling based on one serving size, and 51.8% of the respondents expressed their dissatisfaction with the system because the nutrition labels were difficult to understand or appeared unreliable. The nutrition label literacy of the consumers varied with respect to different packaging units. The respondents were likely to be less accurate in calculating the expected caloric intake when only portions of a multi-serving package were used. Initially 69.0% of respondents reported that they had read the nutrition label before purchasing a product but 91.9% of respondents said that they would check the label after learning how to read the label properly. It is very important to make consumers aware that the labels are very reliable sources of nutrition information. A public education campaign on the use of nutrition labels should focus on developing the consumers' ability and skills in using the label information when choosing foods.

A Comparative Study on the Visual Elements of Beer Brand - Focusing on the Label Design of China and Global Beer Packages - (맥주브랜드의 시각요소 비교연구 - 중국과 글로벌 맥주패키지의 라벨디자인을 중심으로 -)

  • Kim, Heehyun;Meng, Ya Qing
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.324-333
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    • 2020
  • This study compares the visual elements of the top five global beer brands currently in the Chinese market with those of the top five Chinese beer brands. The purpose of the research is to identify the importance of visual elements in the label design of beer package and to present the direction of efficient label design. To this end, it is a brand among visual elements of beer label design, and it investigates the label design of Chinese beer and global beer brand through the multi-accelerated comparative analysis method, focusing on color, illustration and layout, and analyzes the difference of elements appearing in the global beer label design from China by utilizing the recursive five-point scale. According to the research, the visual elements used in the Chinese beer brand were more complex compared to the global beer brand, and most layouts were similar, making the product less differentiated. On the other hand, the global beer brand has secured brand identity and differentiation based on its iconic visual elements and diversity of layout. In order to establish itself as a strong brand in consumers' minds, the Chinese beer brand needs differentiated label design through active use of unique brand design.

The Study of Dietary Habits and Health Behaviors according to Nutrition Label Utilization in Korean Adolescents: Based on the 2016-2018 Korea National Health and Nutrition Examination Survey (한국 청소년의 영양표시 이용에 따른 식생활 및 건강행태: 2016-2018년 국민건강영양조사 자료를 활용하여)

  • Kim, Jin-A;Lee, Sim-Yeol
    • Journal of Korean Home Economics Education Association
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    • v.33 no.2
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    • pp.45-56
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    • 2021
  • This study evaluated the dietary habits and health behaviors of Korean adolescents according to their nutrition label utilization. This study was conducted on the adolescents aged between 12 and 18 who participated in the 2016-2018 National Health and Nutrition Examination Survey. Subjects were classified into nutrition label utilizing group and non-utilizing group. Then the general information, diet habit and nutrient intakes, health status and obesity and mental health of the two groups were analyzed. There was no significant difference in skipping breakfast, frequency of eating out, smoking status and alcohol drinking status according to the utilization of nutrition labels. Nutrition label utilizing group had higher % KDRI of protein(p<0.05), calcium (p<0.01), phosphorus(p<0.01) and potassium intakes(p<0.01) than non-utilizing group. Nutrition label utilizing group had higher EQ-5D score(0.97) than non-utilizing group(p<0.001). Practical nutrition education using nutrition label is needed. So these results can be useful for supporting dietary education regarding use of nutrition label for adolescents.

A Study on Introduction of IoT Infrastructure based on BSC and AHP: Focusing on Electronic Shelf Label (BSC와 AHP를 활용한 IoT 인프라 도입 의사결정에 관한 연구: 전자가격라벨(ESL)을 중심으로)

  • Yang, Jae Yong;Lee, Sang Ryul
    • The Journal of Society for e-Business Studies
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    • v.22 no.3
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    • pp.57-74
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    • 2017
  • The Electronic Shelf Label (ESL) is an alternative to the paper price label attached to merchandise shelves and is attracting attention as a retail IoT infrastructure that will lead the innovation of offline retail outlets. In general, when introducing a substitute product, the company tends to consider the financial factors such as the efficiency of the investment cost compared to the existing product or the reduction of the operating cost. However, considering only financial factors in the decision-making process, it may not properly reflect the various values associated with corporate strategy and the requirements of stakeholders. In this study, 8 evaluation items (Investment Cost, Operating Cost, Quality Level, Customer Management, Job Efficiency, Maintenance, Functional Expandability, and Store Image) based on BSC's 4 perspectives (Financial, Customer, Internal Business Process, Learning & Growth), and using AHP (Analytic Hierarchy Process) to measure the priorities of evaluation items for domestic small supermarket employees. As a result of the research, priority was given in order of Customer, Learning & Growth, Internal Business Process, and Financial aspects among the evaluation items for adopting the price label, and the electronic price label was supported with higher importance than the paper price label. In contrast to the priorities of the financial aspects of most prior studies, the items of Learning & growth and customer perspectives have relatively high priorities. In particular, respondents classified by job group, The priorities of the 8 evaluation items were different among the groups. These results are expected to provide implications for both companies (retail outlets) and ESL providers (manufacturers and service providers) who are considering the introduction of ESL.

Evaluation of nutrient and food intake status, and dietary quality in Korean adults according to nutrition label utilization: Based on 2010-2011 Korean National Health and Nutrition Examination Survey (성인 남녀에서 영양표시 활용 정도에 따른 영양섭취 및 식사의 질 평가: 2010~2011 국민건강영양조사 자료를 이용하여)

  • Bae, Yun-Jung
    • Journal of Nutrition and Health
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    • v.47 no.3
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    • pp.193-205
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    • 2014
  • Purpose: This study was conducted in order to investigate nutrient and food intake status and dietary quality in Korean adults according to nutrition label utilization. Methods: We analyzed data from the combined 2010-2011 KNHANES (Korean National Health and Nutrition Examination Survey). The analysis included 8190 adults aged 19 to 64 years. In this study, according to nutrition label utilization, we classified the subjects according to the "non-utilization of nutrition label (NUNL)" group (male, n = 2716, female, n = 3147), "identification of nutrition label (INL)" group (male, n = 143, female, n = 330), and "Utilization of nutrition label (UNL)" group (male, n = 363, female, n = 1491). Nutrient and food group intake, NAR (nutrient adequacy ratio), MAR (mean adequacy ratio), and INQ (index of nutritional quality) were analyzed using data from the 24-recall method. Results: Results of this study showed that subjects in the NUNL group were significantly more likely to drink alcohol compared with the other two groups. The NUNL group showed a significantly higher frequency of consuming instant noodles, Soju (male), and carbonated drink (female) than the UNL group, whereas the NUNL group showed a significantly lower frequency of consuming milk, soymilk, and yogurt than the UNL group. In addition, regarding diet quality (NAR and INQ), significantly lower vitamin $B_2$, vitamin C, and calcium was observed in the NUNL group compared with the UNL group. For both male and female, significantly higher MAR was observed in the UNL group than in the NUNL group. The NUNL group showed significantly lower consumption of milk compared to the UNL group. Conclusion: Good dietary practice such as referring to nutrition labels and its influence can affect the quality of nutritional intake and selection of food, while it can also provide basic data for specific nutrition education regarding use of nutrition labeling.

A study on end-to-end speaker diarization system using single-label classification (단일 레이블 분류를 이용한 종단 간 화자 분할 시스템 성능 향상에 관한 연구)

  • Jaehee Jung;Wooil Kim
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.6
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    • pp.536-543
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    • 2023
  • Speaker diarization, which labels for "who spoken when?" in speech with multiple speakers, has been studied on a deep neural network-based end-to-end method for labeling on speech overlap and optimization of speaker diarization models. Most deep neural network-based end-to-end speaker diarization systems perform multi-label classification problem that predicts the labels of all speakers spoken in each frame of speech. However, the performance of the multi-label-based model varies greatly depending on what the threshold is set to. In this paper, it is studied a speaker diarization system using single-label classification so that speaker diarization can be performed without thresholds. The proposed model estimate labels from the output of the model by converting speaker labels into a single label. To consider speaker label permutations in the training, the proposed model is used a combination of Permutation Invariant Training (PIT) loss and cross-entropy loss. In addition, how to add the residual connection structures to model is studied for effective learning of speaker diarization models with deep structures. The experiment used the Librispech database to generate and use simulated noise data for two speakers. When compared with the proposed method and baseline model using the Diarization Error Rate (DER) performance the proposed method can be labeling without threshold, and it has improved performance by about 20.7 %.