• Title/Summary/Keyword: energy collecting

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Analysis of CSR·CSV·ESG Research Trends - Based on Big Data Analysis - (CSR·CSV·ESG 연구 동향 분석 - 빅데이터 분석을 중심으로 -)

  • Lee, Eun Ji;Moon, Jaeyoung
    • Journal of Korean Society for Quality Management
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    • v.50 no.4
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    • pp.751-776
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    • 2022
  • Purpose: The purpose of this paper is to present implications by analyzing research trends on CSR, CSV and ESG by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on CSR, CSV and ESG. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "CSR", "CSV" and "ESG" as search terms, and the Korean abstracts and keyword were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, CSR 2,847 papers, CSV 395 papers, ESG 555 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; CSR, CSV, and ESG studies showed that research slowed down somewhat before 2010, but research increased rapidly until recently in 2019. Research have been found to be heavily researched in the fields of social science, art and physical education, and engineering. As a result of the study, there were many keyword of 'corporate', 'social', and 'responsibility', which were similar in the word cloud analysis. Looking at the frequent keyword and word cloud analysis by field and year, overall keyword were derived similar to all keyword by year. However, some differences appeared in each field. Conclusion: Government support and expert support for CSR, CSV and ESG should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to them. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.

Photoluminescence Characterization of Halide Perovskite Films according to Measuring Conditions (페로브스카이트 할로겐화물 박막의 발광 측정 조건에 따른 특성 분석)

  • Cho, Hyeonah;Lee, Seungmin;Noh, Jun Hong
    • Korean Journal of Materials Research
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    • v.32 no.10
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    • pp.419-424
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    • 2022
  • Halide perovskite solar cells (PSCs) have improved rapidly over the past few years, and research on the optoelectrical properties of halide perovskite thin films has grown as well. Among the characterization techniques, photoluminescence (PL), a method of collecting emitted photons to evaluate the properties of materials, is widely applied to evaluate improvements in the performance of PSCs. However, since only photons emitted from the film in the escape cone are included, the photons collected in PL are a small fraction of the total photons emitted from the film. Unlike PSCs power conversion efficiency, PL measuring methods have not been standardized, and have been evaluated in a variety of ways. Thus, an in-depth study is needed of the methods used to evaluate materials using PL spectra. In this study, we examined the PL spectra of the perovskite light harvesting layer with different measurement protocols and analyzed the features. As the incident angle changed, different spectra were observed, indicating that the PL emission spectrum can depend on the measuring method, not the material. We found the intensity and energy of the PL spectra changes were due to the path of the emitted photons. Also, we found that the PL of halide perovskite thin films generally contains limited information. To solve this problem, the emitted photons should be collected using an integrating sphere. The results of this study suggest that the emission spectrum of halide perovskite films should be carefully interpreted in accordance with PL measuring method, since PL data is mostly affected by the method.

Windows Artifacts Analysis for Collecting Cryptocurrency Mining Evidence (암호화폐 채굴 증거 수집을 위한 윈도우 아티팩트 분석 기술 연구)

  • Si-Hyeon Park;Seong-Hun Han;Won-hyung Park
    • Convergence Security Journal
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    • v.22 no.1
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    • pp.121-127
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    • 2022
  • Recently, social issues related to cryptocurrency mining are continuously occurring at the same time as cryptocurrency prices are rapidly increasing. In particular, since cryptocurrency can be acquired through cryptographic operation, anyone with a computer can easily try mining, and as the asset value of major cryptocurrencies such as Bitcoin and Ethereum in creases, public interest is increasing. In addition, the number of cases where individuals who own high-spec computers mine cryptocurrencies in various places such as homes and businesses are increasing. Some miners are mining at companies or public places, not at home, due to the heat problem of computers that consume a lot of electrical energy, causing various problems in companies as well as personal moral problems. Therefore, this study studies the technology to obtain evidence for the traces of mining attempts using the Windows artifacts of the computers that mined cryptocurrency. Through this, it is expected that it can be used for internal audit to strengthen corporate security.

Design of Smart Farm Growth Information Management Model Based on Autonomous Sensors

  • Yoon-Su Jeong
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.113-120
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    • 2023
  • Smart farms are steadily increasing in research to minimize labor, energy, and quantity put into crops as IoT technology and artificial intelligence technology are combined. However, research on efficiently managing crop growth information in smart farms has been insufficient to date. In this paper, we propose a management technique that can efficiently monitor crop growth information by applying autonomous sensors to smart farms. The proposed technique focuses on collecting crop growth information through autonomous sensors and then recycling the growth information to crop cultivation. In particular, the proposed technique allocates crop growth information to one slot and then weights each crop to perform load balancing, minimizing interference between crop growth information. In addition, when processing crop growth information in four stages (sensing detection stage, sensing transmission stage, application processing stage, data management stage, etc.), the proposed technique computerizes important crop management points in real time, so an immediate warning system works outside of the management criteria. As a result of the performance evaluation, the accuracy of the autonomous sensor was improved by 22.9% on average compared to the existing technique, and the efficiency was improved by 16.4% on average compared to the existing technique.

A Study on Efficient BACnet/SC to ensure Data Reliability in Wireless Environments (무선 환경에서 데이터의 신뢰성을 보장하는 효율적인 BACnet/SC 개선 방안 연구)

  • Seo-yeon Kim;Sung-sik Im;Dong-woo Kim;Su-jin Han;Ki-chan Lee;Soo-hyun Oh
    • Convergence Security Journal
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    • v.24 no.1
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    • pp.11-20
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    • 2024
  • Recently, smart buildings that can efficiently manage energy using ICT technology and operate and control through the building automation system by collecting data from a large number of IoT sensors in real time are attracting attention. However, as data management is carried out through an open environment, the safety of smart buildings is threatened by the security vulnerability of the existing building automation protocol. Therefore, in this paper, we analyze the major data link technology of BACnet, which is used universally, and propose OWE-based efficient BACnet/SC that can ensure the reliability of data in a wireless environment. The proposed protocol enables safe communication even in an open network by applying OWE and provides the same level of security as BACnet/SC in a TLS environment. As a result, it reduces the connection process twice and reduces the average time required by 40%, enabling more efficient communication than before.

Evaluation of the Energy and Nutrient Content of HMR Rice, Noodles, Porridge, Soup, and Stew, and Their Comparison with Restaurant Foods (가정간편식 밥, 면, 죽, 국·탕·찌개류의 영양성분 함량 평가와 외식 음식과의 비교)

  • Ye-Sun Kim;Seo-Young Yun;Mi-Hyun Kim
    • Journal of the Korean Dietetic Association
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    • v.30 no.3
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    • pp.161-180
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    • 2024
  • Social and environmental changes, such as the rise of single-person households and advances in the food industry, have led to the replacement of home-cooked meals with home meal replacements products (HMRs). This study compared the nutrient content of a total of 1,680 HMRs and 158 restaurant foods by collecting data on the nutrient content of comparable food types from the Food composition data for restaurant foods published by the Ministry of Food and Drug Safety (MFDS) and evaluating the calorie and nutrient content of HMRs based on nutrition labeling through market research from May 2022 to May 2024, focusing on rice, porridge, noodles, soup/stew. The nutritional content and price of the HMRs varied widely, even for similar foods, depending on the detailed food type. Therefore, it is necessary to make an appropriate choice based on nutrition labeling according to the purpose of consumption. The HMRs had a lower calorie and nutrient content due to the smaller serving size when compared with restaurant foods. However, when the same weights were compared, the sugar and sodium content in the rice and soup/stew were higher in the HMRs than in the restaurant foods. In addition, due to the wide variety of HMRs available, many HMRs that can replace restaurant foods are being produced. However, even for the same type of food, the serving sizes of the HMRs and the restaurant foods were widely different, suggesting the need for a study to examine the appropriateness of the serving sizes of HMRs and restaurant foods.

Generating Data and Applying Machine Learning Methods for Music Genre Classification (음악 장르 분류를 위한 데이터 생성 및 머신러닝 적용 방안)

  • Bit-Chan Eom;Dong-Hwi Cho;Choon-Sung Nam
    • Journal of Internet Computing and Services
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    • v.25 no.4
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    • pp.57-64
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    • 2024
  • This paper aims to enhance the accuracy of music genre classification for music tracks where genre information is not provided, by utilizing machine learning to classify a large amount of music data. The paper proposes collecting and preprocessing data instead of using the commonly employed GTZAN dataset in previous research for genre classification in music. To create a dataset with superior classification performance compared to the GTZAN dataset, we extract specific segments with the highest energy level of the onset. We utilize 57 features as the main characteristics of the music data used for training, including Mel Frequency Cepstral Coefficients (MFCC). We achieved a training accuracy of 85% and a testing accuracy of 71% using the Support Vector Machine (SVM) model to classify into Classical, Jazz, Country, Disco, Soul, Rock, Metal, and Hiphop genres based on preprocessed data.

Living Lab as Transition Arena: Case Analysis and Implication (시스템 전환 실험의 장으로서 리빙랩: 사례분석과 시사점)

  • Seong, Jieun;Park, Inyong
    • Journal of Korea Technology Innovation Society
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    • v.19 no.1
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    • pp.1-28
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    • 2016
  • Current Korean innovation system is facing a new turning point while the growth-oriented and S&T provide-oriented development strategy. Accordingly, there are needs for not only system transition in various area, such as sustainable energy, agriculture, and rural area but also STI policy paradigm shift to create a new innovative pathway. Living lab is being discussed in European country as a new innovative model based on user participation and as a niche experiments for sustainable system transition. This study attempts to analyze the living lab cases which are for the purpose of energy transition, agriculture rural areas system transition, and STI policy paradigm shift. Based on this analysis, the implications were derived in Korea. European Suslab project, C@R project, and Taiwan living lab, promoted diverse transitional experiments successfully by collecting users' background and experiences from pre-planning stage and by maintaining the user-driven innovative actions within the whole development process. This result provides various suggestions to current Korean situation that central government and local governments are considering the introduction of living lab. Living lab can also be utilized as a strategic niche experiments for socio-technical system transition in region or country, as a mean of policy integration, and as a new regional innovation model. In addition, it can be an important platform to realize the policy integration reflecting the user and demand-side which are highlighted in recent innovative policy paradigm.

An Evaluation of the Solar Thermal Performance of the Solar/Geo Thermal Hybrid Hot Water System for a Detached House (단독주택용 태양열/지열 융복합시스템의 태양열 급탕성능 평가)

  • Baek, Namchoon;Han, Seunghyun;Lee, Wang Je;Shin, Ucheul
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.27 no.11
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    • pp.581-586
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    • 2015
  • In this study, an analysis was performed on the performance of the solar water heating system with geo-thermal heat pump for a detached house. This system has a flat plate solar collector ($8\;m^2$) and a 3 RT heat pump. The heat pump acts as an auxiliary heater of the solar water heating system. These systems were installed at four individual houses with the same area of $100\;m^2$. The monitoring results for one year are as follows. (1) The average daily operating time of the solar system appeared to be 313 minutes in spring (intermediate season), and 135 minutes and 76 minutes in winter and summer respectively. The reason for the short operating time in summer is the high storage temperature due to low water heating load. The high storage temperature is caused by a decrease in collecting efficiency as well as by overheating. (2) The geothermal heat pump as an auxiliary heater mainly operates on days of poor insolation during the winter season. (3) Despite controlling for total house area, hot water consumption varies greatly according to the number of people in the family, hot water usage habits, etc. (4) The yearly solar fraction was 69.8 to 91.5 percent, which exceeds the maximum value of 80% as recommended by ASHRAE. So the solar collector area of $8\;m^2$ appeared to be somewhat greater for the house with an area of $100\;m^2$. (5) The observed annual efficiency of solar systems was relatively low at 13.5 to 23.6%, which was analyzed to be due to the decrease in thermal efficiency and the overheating caused by a high solar fraction.

Application of Pulse Current Electrolysis to the Large Scale of Copper and Aluminium Substrates for Solar Selective Coatings on Solar Collectors (실 규모 태양열 집열판 제작을 위한 구리 및 알루미늄 기판에의 태양광 선택흡수박막 전착;Pulse Current Electrolysis 적용)

  • 이태규;김동형;김형택;여운택
    • Journal of Energy Engineering
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    • v.5 no.2
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    • pp.108-114
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    • 1996
  • It is one of the most important factors to enhance the efficiency of the solar collectors by in-creasing collecting efficiency and decreasing heat loss. The pulse electrodeposition method has been involved in this study to improve characteristics of the solar selective coating on 230cm${\times}$60cm substrates and electrical efficiency of the process. The composition of the electrolyte was 280 g/$\ell$ chromic acid, 15 g/$\ell$ propionic acid, and 10 g/$\ell$ appropriate additive. 230cm${\times}$60cm copper and aluminium sheets were utilized as the substrates. It has been observed that the black chrome coatings exhibited reasonable optical properties for commercialization when the plating parameters were properly controlled; the absorptance was 0.98 and 0.97 and omittance was 0.17 and 0.23 for copper and aluminium substrate, respectively. This study implies that the pulse current electrolysis method could be applied to the large scale substrates, and the various products can be avilable after the consideration of the thermal conductivity, heat transfer efficiency and cost problems of the substrates.

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