• 농업과학연구
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• 제46권3호
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• pp.689-703
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• 2019

The term quality or freshness of eggs in industrial production still poses concerns regarding whether washing is necessary. Therefore, the aims of this study were to examine the effects of different storage times and temperatures and to perform a comparison between washed and unwashed eggs. A total of 1000 washed and 1000 unwashed egg samples were stored at three different temperatures (5, 10, and $25^{\circ}C$) for 0 - 8 weeks and were used for the data collection. On the designated day, the eggs were processed to evaluate their internal and external quality traits, such as the Haugh unit, airspace volume, eggshell strength, pH, and microbiological profile. Significant differences (p < 0.05) were observed between the washed and unwashed eggs for each quality trait. The results indicate that storage between 5 and $10^{\circ}C$ better preserved the quality of eggs compared with the storage at $25^{\circ}C$ throughout the days of the storage. Overall, this study suggests that the storage time and temperature have a vital role in maintaining the quality of eggs which were significantly affected during storage. In addition, all the quality parameters differed between the washed and unwashed samples which is further responsible for deteriorating the quality of the eggs.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.221-232
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• 2023

Recently, due to the expansion of the logistics industry, demand for logistics automation equipment is increasing. The modern logistics industry is a high-tech industry that combines various technologies. In general, as various technologies are grafted, the complexity of the system increases, and the occurrence rate of defects and failures also increases. As such, it is time for a predictive maintenance model specialized for logistics automation equipment. In this paper, in order to secure the operational reliability of the ICT/Cold-Chain Unmanned Storage, a predictive maintenance system was implemented based on the LSTM model. In this paper, a server for data management, such as collection and monitoring, and an analysis server that notifies the monitoring server through data-based failure and defect analysis are separately distinguished. The predictive maintenance platform presented in this paper works by collecting data and receiving data based on RabbitMQ, loading data in an InMemory method using Redis, and managing snapshot data DB in real time. The predictive maintenance platform can contribute to securing reliability by identifying potential failures and defects that may occur in the operation of the ICT/Cold-Chain Unmanned Storage in the future.

• Journal of Information Processing Systems
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• 제19권3호
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• pp.394-406
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• 2023

In this study, a real-time surveillance system using Internet of Things technology is proposed for vaccine cold chains. This system fully visualizes vaccine transport and storage. It comprises a 4G gateway module, lowpower and low-cost wireless temperature and humidity collection module (WTHCM), cloud service software platform, and phone app. The WTHCM is installed in freezers or truck-mounted cold chain cabinets to collect the temperature and humidity information of the vaccine storage environment. It then transmits the collected data to a gateway module in the radiofrequency_physical layer (RF_PHY). The RF_PHY is an interface for calling the bottom 2.4-GHz transceiver, which can realize a more flexible communication mode. The gateway module can simultaneously receive data from multiple acquisition terminals, process the received data depending on the protocol, and transmit the collated data to the cloud server platform via 4G or Wi-Fi. The cloud server platform primarily provides data storage, chart views, short-message warnings, and other functions. The phone app is designed to help users view and print temperature and humidity data concerning the transportation and storage of vaccines anytime and anywhere. Thus, this system provides a new vaccine management model for ensuring the safety and reliability of vaccines to a greater extent.

• 한국문헌정보학회지
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• 제49권2호
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• pp.111-134
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• 2015

이 연구는 공공도서관은 사회에서 생산되는 자료를 수집 제공하는 역할을 수행해야 하며, 이를 위해 국립중앙도서관은 개별도서관의 자료보존을 지원하는 주된 책임기관으로서의 역할을 수행해야 한다는 논리에서 출발하였다. 이 연구의 목적은 국내 공공도서관의 자료보존현황을 파악하여 도서관자료의 공동보존을 위한 도서관간 협력방안과 국가적인 차원에서의 개선방안을 모색하기 위한 것이다. 자료보존현황에 관한 기초 데이터 수집을 위해 공공도서관을 대상으로 설문조사를 실시하였다. 이를 위해 전국 663개 공공도서관에 설문지를 배포하였으며, 이중 208개관이 응답한 설문지를 회수하여 내용을 분석하였다. 조사의 내용은 자료보존 복원을 위한 조직과 인력, 자료보존 복원을 위한 시설과 환경, 국가적인 차원에서의 자료보존 복원센터의 건립에 대한 의견 등이 포함되었다. 국내 공공도서관의 효율적인 자료보존을 위한 과제로 첫째, 개별도서관 차원의 지식정보자원의 보존성 및 이용성 향상을 위한 자료보존 복원을 위한 자료관리정책의 구비 둘째, 공공도서관, 지역대표도서관, 국립중앙도서관 등과의 협력을 통한 종합적, 효율적 자료보존 복원 체계 구축 등 두 가지 방안을 제안하였다.

• Journal of Ginseng Research
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• 제22권4호
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• pp.229-236
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• 1998

The incidence of fungi and their possible contribution to low vigour were examined in a collection of ginseng (Panax quiquefolius) seed from Ontario. When examined after one winter of stratification in the field and storage at 4f for five months in the laboratory, the collection exhibited low vigour (plant stand 16.7% of seeding rate six weeks after seeding) and high incidence (94%) of discolored or soft seed. Fungi isolated (and incidence) from 1,304 endosperm halves recovered from surface-sterilized seed were, in order of abundance, Fusarium rostrum (22.2%), Chaetomium crispuum (14.3%), Funriud oxysporum (9.0%), Fusarium sdani (9.0%), iwmor sp. (8.4%), Alternaria sp. (8.1%), Zowieua lucotricha (7.8%), Cylindruarpn sp. (0.9%), Fusarium avenacmm (0.9%), and Vdudla iliata (0.4%). Most of these fungi, including known and potential pathogens of ginseng (species of Alerraria, Cylindrocarpon, Fusarium, and Trichodirma), were associated with both healthy and diseased seed. Application of Benlate (benomyl), Thiram (thiram), or UBI-2584 (tebuconazole) to seed caused slight to pronounced reduction in emergence and did not significantly affect plant stand six weeks after seeding. The study demonstrated the high level of infection by fungi, including known and potential pathogens of the cry, in an arbitrary collection of ginseng seed from commercial sources, and the phytotoxicity of the fungicides tested when applied to moist stratified seed. The lack of efficacy of the fungicides precluded determination of the contribution of seedborne fungi to low vigour of the seed.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.463-466
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• 2012

스마트폰(Smartphone)의 발전과 함께 스마트폰을 이용한 범죄도 증거하고 있다. 스마트폰의 내부 저장매체에는 사건에 증거자료로 활용될 수 있는 이미지, 동영상, 통화내역, GPS정보, 인터넷 사용기록 등의 데이터들이 존재한다. 따라서 이러한 데이터들을 수집하기 위한 체계적인 증거수집 및 증거분석에 대한 절차가 필요하다. 본 논문에서는 스마트폰을 대상으로 모바일 포렌식의 포렌식 증거수집, 증거분석, 결과보고서 작성까지의 절차 및 방법에 대해서 도출한다. 본 논문을 통해 스마트폰 포렌식 조사 및 수사에 대한 기초자료로 활용될 것이다.

• 대한설비공학회지:설비저널
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• 제17권6호
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• pp.696-707
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• 1988

This study simulates a typical solar system using the transient simulation program TRNSYS, and calculates the maximum cooling load of the model room of $50m^2$. In this study, energy rate control method is used in calculating a maximum cooling load. On the ground of the maximum cooling load of the model room, the variables that have an effect on the solar collection performance of the solar system are made a selection. Also in this study the trend of the solar collection performance is shown as the variables change. The results show that the variables which have an effect on the collection performance are collector area, collector mass flow rate, collector slope and the volume of storage tank, and the optimal value of Ac/Vt is not constant but varies as the collector area and the collector mass flow rate. Also the results show that for cooling system the optimal value of the collector slope is latitude minus $15^{\circ}$ during the seasonal operations, and twenty percent of the maximum cooling load is saved with the aid of the solar energy.

• 한국컴퓨터정보학회논문지
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• 제22권12호
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• pp.101-108
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• 2017

The study proposed a system that filters the data that is entered when analyzing big data such as SNS and BLOG. Personal information includes impersonal personal information, but there is also personal information that distinguishes it from personal information, such as religious institution, personal feelings, thoughts, or beliefs. Define these personally identifiable information as sensitive information. In order to prevent this, Article 23 of the Privacy Act has clauses on the collection and utilization of the information. The proposed system structure is divided into two stages, including Big Data Processing Processes and Sensitive Information Filtering Processes, and Big Data processing is analyzed and applied in Big Data collection in four stages. Big Data Processing Processes include data collection and storage, vocabulary analysis and parsing and semantics. Sensitive Information Filtering Processes includes sensitive information questionnaires, establishing sensitive information DB, qualifying information, filtering sensitive information, and reliability analysis. As a result, the number of Big Data performed in the experiment was carried out at 84.13%, until 7553 of 8978 was produced to create the Ontology Generation. There is considerable significan ce to the point that Performing a sensitive information cut phase was carried out by 98%.

• 대한임베디드공학회논문지
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• 제16권4호
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• pp.153-161
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• 2021

Real-time access is required to handle continuous and unstructured data and should be flexible in management under dynamic state. Platform can be built to allow data collection, storage, and processing from local-server or multi-server. Although the former centralize method is easy to control, it creates an overload problem because it proceeds all the processing in one unit, and the latter distributed method performs parallel processing, so it is fast to respond and can easily scale system capacity, but the design is complex. This paper provides data collection and processing on one platform to derive significant insights from various data held by an enterprise or agency in the latter manner, which is intuitively available on dashboards and utilizes Spark to improve distributed processing performance. All service utilize dockers to distribute and management. The data used in this study was 100% collected from Kafka, showing that when the file size is 4.4 gigabytes, the data processing speed in spark cluster mode is 2 minute 15 seconds, about 3 minutes 19 seconds faster than the local mode.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2000년도 가을 학술발표논문집 Vol.27 No.2 (3)
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• pp.73-75
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• 2000

이 논문은 인과적 메시지 로깅 기법에서 결함 포용을 목적으로 완전 저장 장치(stable storage)에 저장되는 메시지 로그와 메시지 순서 로그의 쓰레기 처리 기법을 제안한다. 메시지 로그와 메시지 순서 로그는 메시기 순서 정보에 부가되는 검사점 정보를 기반으로 쓰레기 처리되어질 수 있으며, 이를 위해 메시지 로그와 메시기 순서 로그의 쓰레기 처리 조건을 제시한다. 제시된 조건을 기반으로 한 메시지 로그와 메시지 순서 로그의 쓰레기 처리는 송수신 메시지에 부가된 정보를 이용하므로 제안된 알고리즘은 '지연 쓰레기 처리 현상(lazy garbage collection)'를 발생시킨다. 하지만 '지연 쓰레기 처리 현상'은 분산 시스템의 일관성을 위배하지 않으며, 쓰레기 처리를 위한 부가적인 메시지 교환을 필요로 하지 않는다.