• Title/Summary/Keyword: Product Design

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A Study on Supporting Design Decision Making in Office Building Remodeling Projects by Introducing Mixed Reality (혼합현실 도입 오피스 건물 리모델링 프로젝트 설계 의사결정 지원)

  • Han, Mooyeul;Baek, Kwanyup;Lee, Kyung-Tae;Ko, Seonju;Kim, Ju-Hyung
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.1
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    • pp.3-12
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    • 2021
  • In the remodeling projects, clients without architectural expertise have limitations in presenting requirements accurately. In some cases, designers and contractors may not recognize their demands exactly, and deliver final products that are different from the clients' intentions. 3D modeling visualizing final products in previous has been regarded as a solution to enhance understanding and communication. However, this approach has the limitation that the final results are presented as a virtual outputs. In the remodeling project, an alternative, mixed-reality, is likely to reinforce the reality as it enables to present remain structure and the parts to be built together. This paper examines the mixed reality as a solution to support decision making of clients and practitioners in remodeling projects. The examinations is conducted in high-rise office remodeling projects by means of action-research. Clients and practitioners, overview product models presented in the format of 2D drawings, BIM and mixed reality asked to evaluate the effectiveness of each methods in 12 standards. The results have shown that mixed reality has improved the sense of reality, making it easier to predict results, but recognizing patterns is difficult in some areas such as the floor, and it caused dizziness.

Feasibility test of treating slaughterhouse by-products using microbial electrolysis cells (미생물전기분해전지를 이용한 도축부산물 처리 가능성 평가)

  • Song, Geunuk;Baek, Yunjeong;Seo, Hwijin;Kim, Daewook;Shin, Seunggu;Ahn, Yongtae
    • Journal of the Korea Organic Resources Recycling Association
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    • v.29 no.2
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    • pp.31-38
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    • 2021
  • The aim of this study is to evaluate the possibility of treating slaughterhouse by-products using microbial electrolysis cells (MECs). The diluted pig liver was fed to MEC reactors with the influent COD concentrations of 772, 1,222, and 1,431 mg/L, and the applied voltage were 0.3, 0.6, and 0.9 V. The highest methane production of 5.9 mL was obtained at the influent COD concentration of 1,431 mg/L and applied voltage of 0.9 V. In all tested conditions, COD removal rate was increased as the influent COD concentration increased with average removal rate of 62.3~81.1%. The maximum methane yield of 129~229 mL/g COD was obtained, which is approximately 80% of theoretical maximum value. It might be due to the bioelectrochemical reaction greatly increased the biodegradability of pig liver. Future research is required to improve the methane yield and digestibility through optimizing the reactor design and operating conditions.

Design and implementation of quotation management process according to quotation change factors in make-to-order manufacturing environments (수주생산환경에서 견적변경 요인에 따른 견적관리 프로세스의 설계 및 구현)

  • Jeon, Gyu-Hwan;Jang, Gil-Sang;Park, Chang-Kwon
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.879-892
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    • 2021
  • In a make-to-order manufacturing environment, the manufacturer's quotation information is important information used as basic information for bidding, receiving orders, and producing products in response to various customer demands. This quotation information is changed according to various factors such as customer demands, changes in product production environment, changes in drawing information of technical partners, and technological improvement of products. Due to this change, various changes occur in the quotation information that the manufacturer is preparing to reflect the customer's requirements. The change of quotation information according to these various change factors puts a lot of burden on the quotation management work from the standpoint of a make-to-order manufacturing company. In particular, the change of quotation information due to the change factors of quotation is inevitable and frequently occurs due to the requirements of the customer in the customer-oriented make-to-order production environment. In this paper, we propose a quotation change process based on the quotation creation process and propose a consistent and efficient quotation change processing method. To this end, the factors causing the change of quotation were defined, and the types of changes for each factor were defined. And it shows the procedure of applying the quotation change process to the quotation management system through the cases of each cause of the quotation change. In addition, in order to show the usefulness of the quotation change factors, the type of quotation change, the quotation change process, and the quotation system management, the proposed quotation change process and function was applied in the integrated quotation management system for the ship engine division of a typical make-to-order manufacturing company 'H'. As a result, it was confirmed that the proposed quotation change process and management system according to the quotation change factors were efficiently performed.

Effects of feeding starch sugar by-products on in situ rumen disappearance rate, growth performance, and carcass characteristics of late finishing Hanwoo steers

  • Choi, Yongjun;Park, Geetae;Kang, Hyokon;Ahn, Jiyeon;Lee, Eunchae;Na, Youngjun;Lee, Sangrak
    • Animal Bioscience
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    • v.35 no.2
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    • pp.217-223
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    • 2022
  • Objective: The aim of this study was to determine the effects of feeding starch sugar byproducts (SSBs) on in situ disappearance rate, performance, and carcass characteristics of Hanwoo steers in the late finishing stage. Methods: To determine the in situ disappearance rate, nylon bags filled with 5 g of SSB were inserted into the ventral sac of two cannulated Holsteins cows and incubated for 0, 2, 4, 8, 16, 24, and 48 h. A total of 30 Hanwoo steers were fed the experimental diets, which were basal diet (control) and 7% SSB on an as-fed basis (4.35% dry matter [DM]), formulated according to requirements of the Korean Feeding Standard for Hanwoo. The experiment was conducted over 80 days using a completely randomized block design. Results: Soluble fraction a of DM and organic matter (OM) was 44.20% and 64.60% DM, fraction b was 23.00% and 19.40% DM, and c values (the rate of degradation of fraction b) were 0.04 and 0.04/h, respectively. The effective degradability of DM at rumen solid outflow rates of 0.02, 0.05, and 0.08/h was 59.83, 54.75, and 52.16, respectively, and for OM was 77.78, 73.52, and 71.34, respectively. Initial and final body weight, average daily gain, DM intake, and gain:feed did not differ significantly between control and SSB groups during the entire experimental period. Carcass traits of Hanwoo steers with SSB supplementation were not significantly different between treatments except for dressing percentage, which was greater with SSB treatment. The content of saturated fatty acid (SFA) was greater and that of unsaturated fatty acids (UFA) was lower in the SSB group than in the control group. The ratio of UFA to SFA was significantly lower in the SSB group than in the control group. Conclusion: A total mixed ration containing less than 4.0% DM of SSBs can be used in Hanwoo steers without a decrease in productivity and carcass traits.

IoT-Based Device Utilization Technology for Big Data Collection in Foundry (주물공장의 빅데이터 수집을 위한 IoT 기반 디바이스 활용 기술)

  • Kim, Moon-Jo;Kim, DongEung
    • Journal of Korea Foundry Society
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    • v.41 no.6
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    • pp.550-557
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    • 2021
  • With the advent of the fourth industrial revolution, the interest in the internet of things (IoT) in manufacturing is growing, even at foundries. There are several types of process data that can be automatically collected at a foundry, but considerable amounts of process data are still managed based on handwriting for reasons such as the limited functions of outdated production facilities and process design based on operator know-how. In particular, despite recognizing the importance of converting process data into big data, many companies have difficulty adopting these steps willingly due to the burden of system construction costs. In this study, the field applicability of IoT-based devices was examined by manufacturing devices and applying them directly to the site of a centrifugal foundry. For the centrifugal casting process, the temperature and humidity of the working site, the molten metal temperature, and mold rotation speed were selected as process parameters to be collected. The sensors were selected in consideration of the detailed product specifications and cost required for each process parameter, and the circuit was configured using a NodeMCU board capable of wireless communication for IoT-based devices. After designing the circuit, PCB boards were prepared for each parameter, and each device was installed on site considering the working environment. After the on-site installation process, it was confirmed that the level of satisfaction with the safety of the workers and the efficiency of process management increased. Also, it is expected that it will be possible to link process data and quality data in the future, if process parameters are continuously collected. The IoT-based device designed in this study has adequate reliability at a low cast, meaning that the application of this technique can be considered as a cornerstone of data collecting at foundries.

Component and Phase Analysis of Calcium Silicate Cement Clinker by Raw Materials Mix Design (원료 배합에 따른 칼슘 실리케이트 시멘트 클링커의 성분 및 상 분석)

  • Lee, Hyang-Sun;Song, Hun
    • Journal of the Korea Institute of Building Construction
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    • v.22 no.3
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    • pp.251-258
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    • 2022
  • In the cement industry, in order to reduce CO2 emissions, technology for raw materials substitution and conversion, technology for improving process efficiency of utilizing low-carbon new heat sources, and technology for collecting and recycling process-generated CO2 are being developed. In this study, we conducted a basic experiment to contribute to the development of CSC that can store CO2 as carbonate minerals among process-generated CO2 capture and recycling technologies. Three types of CSC clinker with different SiO2/(CaO+SiO2) molar ratios were prepared with the clinker raw material formulation, and the characteristics of the clinker were analyzed. As a result of analysis and observation of CSC clinker, wollastonite and rankinite were formed. In addition, as a result of the carbonation test of the CSC paste, it was confirmed that calcite was produced as a carbonation product. The lower the SiO2/(CaO+SiO2) molar ratio in the CSC clinker chemical composition, the lower the wollastonite production amount, and the higher the rankinite production amount. And the amount of calcite production increased with the progress of carbonation of the CSC paste specimen. It is judged that rankinite is more reactive in mineralizing CO2 than wollastonite.

Global Big Data Analysis Exploring the Determinants of Application Ratings: Evidence from the Google Play Store

  • Seo, Min-Kyo;Yang, Oh-Suk;Yang, Yoon-Ho
    • Journal of Korea Trade
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    • v.24 no.7
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    • pp.1-28
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    • 2020
  • Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.

Rumen bacteria influence milk protein yield of yak grazing on the Qinghai-Tibet plateau

  • Fan, Qingshan;Wanapat, Metha;Hou, Fujiang
    • Animal Bioscience
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    • v.34 no.9
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    • pp.1466-1478
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    • 2021
  • Objective: Ruminants are completely dependent on their microbiota for rumen fermentation, feed digestion, and consequently, their metabolism for productivity. This study aimed to evaluate the rumen bacteria of lactating yaks with different milk protein yields, using high-throughput sequencing technology, in order to understand the influence of these bacteria on milk production. Methods: Yaks with similar high milk protein yield (high milk yield and high milk protein content, HH; n = 12) and low milk protein yield (low milk yield and low milk protein content, LL; n = 12) were randomly selected from 57 mid-lactation yaks. Ruminal contents were collected using an oral stomach tube from the 24 yaks selected. High-throughput sequencing of bacterial 16S rRNA gene was used. Results: Ruminal ammonia N, total volatile fatty acids, acetate, propionate, and isobutyrate concentrations were found to be higher in HH than LL yaks. Community richness (Chao 1 index) and diversity indices (Shannon index) of rumen microbiota were higher in LL than HH yaks. Relative abundances of the Bacteroidetes and Tenericutes phyla in the rumen fluid were significantly increased in HH than LL yaks, but significantly decreased for Firmicutes. Relative abundances of the Succiniclasticum, Butyrivibrio 2, Prevotella 1, and Prevotellaceae UCG-001 genera in the rumen fluid of HH yaks was significantly increased, but significantly decreased for Christensenellaceae R-7 group and Coprococcus 1. Principal coordinates analysis on unweighted UniFrac distances revealed that the bacterial community structure of rumen differed between yaks with high and low milk protein yields. Furthermore, rumen microbiota were functionally enriched in relation to transporters, ABC transporters, ribosome, and urine metabolism, and also significantly altered in HH and LL yaks. Conclusion: We observed significant differences in the composition, diversity, fermentation product concentrations, and function of ruminal microorganisms between yaks with high and low milk protein yields, suggesting the potential influence of rumen microbiota on milk protein yield in yaks. A deeper understanding of this process may allow future modulation of the rumen microbiome for improved agricultural yield through bacterial community design.

A Study on the Analysis of Virus Barrier Materials in a Chest X-ray Laboratory to Respiratory and Droplet Infections Only Patients (호흡기 및 비말감염 환자 전용 흉부 X-선 검사실의 바이러스 차단제 분석에 관한 연구)

  • Kim, Hyeon-Ju;Lee, Jun-Ho;Choi, Kwan-Yong
    • Journal of the Korean Society of Radiology
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    • v.16 no.2
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    • pp.169-175
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    • 2022
  • In this study, envisioned a laboratory equipped with virus blocking equipment for chest X-ray examinations of respiratory or droplet-transmitted virus-infected patients, and the material with the least deterioration in X-ray output and image quality among the proven blocking materials that block viruses in the design process. and experimented to find the thickness. As a result, when 1 cm of acrylic was applied, the X-ray output was reduced by only about 3.27 % compared to the absence of the barrier material, the SNR was 40.7 and CNR was 30.9, which was the best. The SSIM index result was analyzed as 0.891, which was analyzed to be implemented as the most similar image compared to the original image. The barrier material applied in the research method was objective in that it used a product approved by the Ministry of Food and Drug Safety. the results of this study are expected to provide useful information when installing X-ray examination facilities for the diagnosis and treatment of respiratory-related virus-infected patients in the future.

Effect of Sustainable Fashion Product Characteristics on Consumer Purchase Intention - Focusing on Chinese Student in Hubei Province of China - (환경 지속가능한 패션제품 특성이 소비자 구매의도에 미치는 영향 - 중국 후베이성 지역 대학생 중심으로 -)

  • Liu, Ying;Lee, Young-Sook;Lee, Ji-Eun
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.198-210
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    • 2022
  • Recently, research on environmental sustainable fashion design has been conducted, but various studies on preference and purchase intention for environmental sustainable fashion products have not yet been conducted. Therefore, this paper studied the effect of the characteristics of environmental sustainable fashion products on purchase intention with preference as a mediating effect. This study focused on Generation MZ attending universities in Hubei Province, China, and a total of 350 online surveys were conducted from August 15, 2021 to August 20, 2021. Among them, 335 copies were used for the final analysis, excluding invalid questionnaires. SPSS26 and AMOS26 were used for analysis. First, the results of the analysis showed that environmental protection characteristics among the characteristics of environmental sustainable fashion products had a positive effect on preference. At the same time, environmental sustainability had a positive effect on purchase intention. Second, environmental protection and sustainability have a significant positive effect on preference. At the same time, environmental sustainability has a significant positive effect on purchase intention. Third, preference plays a significant mediating role in the relationship between the purchase intention of environmental protection.