• Title/Summary/Keyword: 대용화

Search Result 1,129, Processing Time 0.029 seconds

Liaohe National Park based on big data visualization Visitor Perception Study

  • Qi-Wei Jing;Zi-Yang Liu;Cheng-Kang Zheng
    • Journal of the Korea Society of Computer and Information
    • /
    • v.28 no.4
    • /
    • pp.133-142
    • /
    • 2023
  • National parks are one of the important types of protected area management systems established by IUCN and a management model for implementing effective conservation and sustainable use of natural and cultural heritage in countries around the world, and they assume important roles in conservation, scientific research, education, recreation and driving community development. In the context of big data, this study takes China's Liaohe National Park, a typical representative of global coastal wetlands, as a case study, and using Python technology to collect tourists' travelogues and reviews from major OTA websites in China as a source. The text spans from 2015 to 2022 and contains 2998 reviews with 166,588 words in total. The results show that wildlife resources, natural landscape, wetland ecology and the fishing and hunting culture of northern China are fully reflected in the perceptions of visitors to Liaohe National Park; visitors have strong positive feelings toward Liaohe National Park, but there is still much room for improvement in supporting services and facilities, public education and visitor experience and participation.

Proper Orthogonal Decomposition Based Intrusive Reduced Order Models to Accelerate Computational Speed of Dynamic Analyses of Structures Using Explicit Time Integration Methods (외연적 시간적분법 활용 동적 구조해석 속도 향상을 위한 적합직교분해 기반 침습적 차수축소모델 적용 연구)

  • Young Kwang Hwang;Myungil Kim
    • Journal of the Computational Structural Engineering Institute of Korea
    • /
    • v.37 no.1
    • /
    • pp.9-16
    • /
    • 2024
  • Using the proper orthogonal decomposition (POD) based intrusive reduced order model (ROM), the total degrees of freedom of the structural system can be significantly reduced and the critical time step satisfying the conditional stability increases in the explicit time integrations. In this study, therefore, the changes in the critical time step in the explicit time integrations are investigated using both the POD-ROM and Voronoi-cell lattice model (VCLM). The snapshot matrix is composed of the data from the structural response under the arbitrary dynamic loads such as seismic excitation, from which the POD-ROM is constructed and the predictive capability is validated. The simulated results show that the significant reduction in the computational time can be achieved using the POD-ROM with sufficiently ensuring the numerical accuracy in the seismic analyses. In addition, the validations show that the POD based intrusive ROM is compatible with the Voronoi-cell lattice based explicit dynamic analyses. In the future study, the research results will be utilized as an elemental technology for the developments of the real-time predictive models or monitoring system involving the high-fidelity simulations of structural dynamics.

A Study on an Automatic Classification Model for Facet-Based Multidimensional Analysis of Civil Complaints (패싯 기반 민원 다차원 분석을 위한 자동 분류 모델)

  • Na Rang Kim
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.29 no.1
    • /
    • pp.135-144
    • /
    • 2024
  • In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

Study on Battery Power based IoT Device Lightweight Authentication Protocol (베터리 전력 환경 IoT 디바이스 경량 인증 프로토콜 연구)

  • Sung-Hwa Han
    • Convergence Security Journal
    • /
    • v.24 no.3
    • /
    • pp.165-171
    • /
    • 2024
  • Due to the IT convergence trend, many industrial domains are developing their own IoT services. With batteries and lightweight devices, IoT could expand into various fields including smart farms, smart environments, and smart energy. Many battery-powered IoT devices are passive in enforcing security techniques to maintain service time. This is because security technologies such as cryptographic operations consume a lot of power, so applying them reduces service maintenance time. This vulnerable IoT device security environment is not stable. In order to provide safe IoT services, security techniques considering battery power consumption are required. In this study, we propose an IoT device authentication technology that minimizes power consumption. The proposed technology is a device authentication function based on the Diffie-Hell man algorithm, and has the advantage that malicious attackers cannot masquerade the device even if salt is leaked during the transmission section. The battery power consumption of the authentication technology proposed in this study and the ID/PW-based authentication technology was compared. As a result, it was confirmed that the authentication technique proposed in this study consumes relatively little power. If the authentication technique proposed in this study is applied to IoT devices, it is expected that a safer IoT security environment can be secured.

Design and Implementation of MongoDB-based Unstructured Log Processing System over Cloud Computing Environment (클라우드 환경에서 MongoDB 기반의 비정형 로그 처리 시스템 설계 및 구현)

  • Kim, Myoungjin;Han, Seungho;Cui, Yun;Lee, Hanku
    • Journal of Internet Computing and Services
    • /
    • v.14 no.6
    • /
    • pp.71-84
    • /
    • 2013
  • Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.

A Study Of Design With Application On Of Gem Cutting Technique (보석 컷팅디자인을 활용한 보석산업활성화에 관한 연구)

  • Jang, Myeong Soo;Park, Seungchul
    • Journal of Digital Convergence
    • /
    • v.10 no.10
    • /
    • pp.483-490
    • /
    • 2012
  • In parallel with advancement of the industrial society and accompanied quality-of-life improvement, jewelry is now rather viewed as one of common accessories used in daily life, than as a luxurious item as treated before change of perception about it in the past, attracting thus gradually multiplying demand for it. Thanks to rapid spread of multi media like the Internet, an increasing number of people have come to develop great liking for exceptional design and unique format of jewelry products. Following drain of their reserves, natural gems are unlikely to meet the demand for them fully in the future. As a consequence, it seems essential to rely on synthetic, artificial, imitation jewelry or organic substances and quasi-mineral in amorphous structure for substitute jewelry. Since synthetic jewelry has such a great potential as substitute jewelry, it is expected to maximize added value to jewelry if and when accompanied with development of creative design and upgrading of processing technology for jewelry, in addition to various types of synthetic jewelry and glass that have been already put in use as substitute substances. Synthetic jewelry is thus believed to be able to greatly contribute to progress of the jewelry industry. In many countries of the world, jewelry and gem industry has been regarded as one of promising sectors vital in enriching the national wealth. In this context, the Korean Ministry of Finance and Economy announced in July 2007 "an activating policy for the jewelry and gem industry, declaring to cultivate and grow it to be new engine for the nation's growth". The present paper thus aims to conduct a study exclusively on cutting design of synthetic jewelry as a part of measures to activate the jewelry industry in Korea. Efforts are made to develop designs for jewelry that are unique and different from the conventional stereotyped form of polishing and are added with color, pattern and fashionable cutting. Priority is given in this regard to designing jewelry that may attract general public and may be shared by public beyond the limit of conventional design for jewelry and producing products that stand in contrast with other products. By upgrading the quality of jewelry design, competitiveness of the jewelry industry may be ensured and the creative area of jewelry design may be expanded by far.

Development of a Window Program for Searching CpG Island (CpG Island 검색용 윈도우 프로그램 개발)

  • Kim, Ki-Bong
    • Journal of Life Science
    • /
    • v.18 no.8
    • /
    • pp.1132-1139
    • /
    • 2008
  • A CpG island is a short stretch of DNA in which the frequency of the CG dinucleotide is higher than other regions. CpG islands are present in the promoters and exonic regions of approximately $30{\sim}60$% of mammalian genes so they are useful markers for genes in organisms containing 5-methylcytosine in their genomes. Recent evidence supports the notion that the hypermethylation of CpG island, by silencing tumor suppressor genes, plays a major causal role in cancer, which has been described in almost every tumor types. In this respect, CpG island search by computational methods is very helpful for cancer research and computational promoter and gene predictions. I therefore developed a window program (called CpGi) on the basis of CpG island criteria defined by D. Takai and P. A. Jones. The program 'CpGi' was implemented in Visual C++ 6.0 and can determine the locations of CpG islands using diverse parameters (%GC, Obs (CpG)/Exp (CpG), window size, step size, gap value, # of CpG, length) specified by user. The analysis result of CpGi provides a graphical map of CpG islands and G+C% plot, where more detailed information on CpG island can be obtained through pop-up window. Two human contigs, i.e. AP00524 (from chromosome 22) and NT_029490.3 (from chromosome 21), were used to compare the performance of CpGi and two other public programs for the accuracy of search results. The two other programs used in the performance comparison are Emboss-CpGPlot and CpG Island Searcher that are web-based public CpG island search programs. The comparison result showed that CpGi is on a level with or outperforms Emboss-CpGPlot and CpG Island Searcher. Having a simple and easy-to-use user interface, CpGi would be a very useful tool for genome analysis and CpG island research. To obtain a copy of CpGi for academic use only, contact corresponding author.

Demonstration-scale Offshore CO2 Storage Project in the Pohang Basin, Korea (포항분지 해상 중소규모 CO2 저장 실증연구)

  • Kwon, Yi Kyun
    • The Journal of Engineering Geology
    • /
    • v.28 no.2
    • /
    • pp.133-160
    • /
    • 2018
  • $CO_2$ storage is a very important technology for reduction of greenhouse gas emissions and has been considered as almost the only viable and effective option for immediate large-scale $CO_2$ sequestration. Small-scale demonstration project for offshore $CO_2$ storage in the Pohang Basin is the transitional stage R&D program for technological preparation of large-scale $CO_2$ storage project in Korea. Through the extensive exploration research for prospective $CO_2$ storage sites, the offshore strata in the Pohang Basin was recommended for the storage formation of the small-scale demonstration project. The Pohang Offshore Storage Project launched at 2013, and has accomplished the technical demonstration and technological independence in a wide range of $CO_2$ storage technology, such as geophysical exploration, storage site characterization, storage design, offshore platform construction, injection-well drilling and completion, deployment of injection facility, operation of $CO_2$ injection, and $CO_2$ monitoring. The project successfully carried out $CO_2$ test injection in early 2017, and achieved its final goal for technical development and demonstration of $CO_2$ storage in Korea. The realization of $CO_2$ injection in this project is the measurable result and has been recorded as the first success in Korea. The Pohang Offshore Storage Project has a future plan for the continuous operation of $CO_2$ injection and completion of $CO_2$ monitoring system. The project has provided in-house technical and practical expertises, which will be a solid foundation for the commercial-scale $CO_2$ storage business in Korea. Additionally, the project will help to secure national technical competitiveness in growing international technology market for $CO_2$ storage.

Environment-Friendly Control of Beet Armyworm, Spodoptera exigua (Noctuidae: Lepidoptera) to Reduce Insecticide Use (농약 사용 저감화를 위한 환경 친화적인 파밤나방(Spodoptera exigua)의 방제)

  • Jin, Da-Yong;Paek, Seung-Kyung;Kim, Jin-Su;Choi, Su-Yeon;Park, Chan;Kim, Tae-Hwan;Jin, Na-Young;Jung, Sun-Young;Youn, Young-Nam;Yu, Yong-Man
    • Korean journal of applied entomology
    • /
    • v.48 no.2
    • /
    • pp.253-261
    • /
    • 2009
  • For the environment-friendly control of beet armyworm, Spodoptera exigua, in spring onion fields, we have examined an alternative application method. Twenty-five insecticides registered for spring onion were tested for control effect against the beet armyworm in the laboratory, then the best 9 chemical and a single biological insecticides were selected and compared with 2 new isolates of Bacillus thuringiensis in a polyvinyl house. After that, 4 chemical and 3 B. thuringiensis treatments were used in the field for the control of beet armyworm in the spring onion. Two application methods are used: one is triple treatments with the same chemical and the other is alternative application with different chemicals and B. thuringiensis for 7 days intervals. Indoxacarb WP - chlorfluazuron EC - B.t. var. kurstaki CAB141 and indoxacarb WP - methoxyfenozide + spinosad SC - Chlorfluazuron EC - B.t. var. aizawai CAB109, B.t. var. kurstaki CAB141 showed greater than 78% mortality of beet armyworm larvae and greater than 43% damage decrease in spring onions infested by beet armyworm. These results showed that alternative applications had higher control effect than any other applications. It was suggested that alternative applications with microbial biological agents such as B. thuringiensis might minimize the development of insecticide resistance and might be used as the environment-friendly control of the beet armyworm.

재래닭 생산물의 소비형태에 관한 조사연구

  • 한성욱
    • Proceedings of the Korea Society of Poultry Science Conference
    • /
    • 1998.04a
    • /
    • pp.51-86
    • /
    • 1998
  • $\bigcirc$ 재래닭 생산물의 소비 및 구매형태 등에 대한 조사에서 종합적인 결론은 최종 소비자의 응답자는 총 2,250명이었으며 연령, 성별, 직업, 거주지, 주거형태, 가족수, 소득분포등이 비교적 다양하게 분포되어 있다. 판매업소의 특성은 지역별, 매장면적, 업주연령, 성별, 경력등에서 매장위치는 약 60%가 농촌이고 관광지 21.3%, 도시 19.0%순이였으며 매장 면적은 10-30평이 66.9%, 경력은 3년이하 27.4%, 3-5년 22.7%, 5-10년 22.2%였다. $\bigcirc$ 재래닭고기의 소비형태에서 육류선호도는 쇠고기, 돼지고기, 닭고기 순이였으며 재래닭고기의 소비형태에서 전체 응답자의 64.4%가 먹어본 경험이 있었다. 주로 섭취시기는 74.5%가 여름철에 식구들과 같이 회식할 때 식사대용이나 부식용으로 섭취하였다. 소비자가 재래닭고기를 좋아하는 이유는 고기가 쫄깃쫄깃하여 씹는맛과 지방이 적으며 단백한 맛 때문에 독특해서 좋아한다고 하였으며, 싫어하는 이유는 너무 질기고 고기의 양이 너무 적다는 의견이 많았다. 선호하는 요리방법은 백숙, 삼계탕이었고 좋아하는 부위는 역시 다리부위였다. 재래닭고기의 섭취량에 대하여는 1회에 2인이 1마리를 먹는다가 36.4%, 3인이 1마리 31.8%로서 68.2%가 2-3인이 1마리를 먹는다고 하였으며, 가족구성원 중에는 가장이 제일 선호하는 것으로 나타났다. $\bigcirc$ 음식점에서 판매되는 요리한 재래닭의 1마리 가격에 대한 의견은 84.5%가 20,000원정도면 부담이 없이 먹겠다고 하였다. $\bigcirc$ 재래닭의 구입행동에서 구입주체는 주부였으며, 구입장소는 농.축협의 슈퍼와 정육점이었고 백화점과 재래닭 사육장에서 직접구입도 하고 있었다. 구입 동기는 가족들이 좋아하고 영양가를 생각한다가 62%였으며 구입정보는 주위사람의 권유로 구입하고 있었다. $\bigcirc$ 구입할 때 중점적으로 살펴보는 사항은 신선도와 순수재래종 여부, 위생상태였다. 한편 소비자가 언제나 구입할 수 없다는 의견이 85.2%나 되어 원활한 공급과 시장조성이 아직 정착되지 않고 있었다. $\bigcirc$ 현재 유통되고 있는 재래종닭은 소비자 대부분이 잡종으로 인식하고 있었으며, 재래종과 일반육계와의 구별은 깃털색, 피부색, 정강이색등 외관상으로 구별하고 있었다. 체중에 대한 반응은 너무 작다는 의견이었고, 식품으로의 인식도는 비교적 고급식품으로 인식하고 있다. $\bigcirc$ 재래종닭고기의 브랜드화에 대한 견해는 젊고 소득이 높은 계층에서 브랜드화의 필요성을 강조하고 있다. $\bigcirc$ 재래종달걀의 소비형태는 대부분의 소비자가 좋아하였으나 아직 먹어보지 못한 응답자가 많았다. 재래종달걀의 맛에 대해서는 고소하고 독특하여 차별성을 느끼고 있었다. $\bigcirc$ 재래종달걀의 구입장소는 계란판매점(축협.농협), 슈퍼, 백화점, 재래닭 사육 농장등 다양하였으며 포장단위는 10개를 가장 선호하였고, 포장재료는 종이, 플라스틱, 짚의 순으로 좋아하였다. $\bigcirc$ 달걀의 가격은 200원정도를 적정하다고 하였으며, 크기는 (평균 52g)는 가장 적당하다고 인식하고 있으며, 난각색은 대부분의 응답자가 갈색을 선호하였다. $\bigcirc$ 재래종달걀의 구입시 애로사항은 믿을수 없고, 구입장소를 몰라서, 값이 싸다 등이었고, 앞으로 신뢰할 수 있고 위생적인 생산 및 유통체계가 확립될 경우 더 많이 소비하겠다는 의견이었다. $\bigcirc$ 재래닭 판매업소(식당)의 판매형태는 66.7%인 대부분의 업소가 잡종과 개량종 유색닭을 판매하고 있었으며, 1개 업소에서 1일 판매수수는 5-10수의 영세한 판매형태였고, 계절적으로는 여름철에 대부분을 판매하였다. $\bigcirc$ 식당에서 판매하는 재래닭고기의 요리 종류는 주로 백숙이었고, 삼계탕, 닭볶음도 있었으며, 요리된 재래닭 1마리 가격은 20,000원 이상이었으며, 20,000원이하로 판매하는 잡종이 많았다. $\bigcirc$ 재래닭 판매업소에서 재래닭을 구입하는 방법은 재래닭 사육농장에서 1회에 수십마리 구입하여 판매업소의 간이 사육장에서 기르면서 판매하는 업소가 49.6%, 도계된 재래닭을 구입하여 판매하는 업소 26.9%, 직접 재래닭을 사육하면서도 도계하여 판매하는 업소가 21.7%였다. 판매업소에서의 재래닭 사육기간은 90일 이상이었으며 대부분의 업주는 야산에서 방사한 것을 좋게 생각하고 있었다.

  • PDF