• Title/Summary/Keyword: Science technology authority data

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Verification Control Algorithm of Data Integrity Verification in Remote Data sharing

  • Xu, Guangwei;Li, Shan;Lai, Miaolin;Gan, Yanglan;Feng, Xiangyang;Huang, Qiubo;Li, Li;Li, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.2
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    • pp.565-586
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    • 2022
  • Cloud storage's elastic expansibility not only provides flexible services for data owners to store their data remotely, but also reduces storage operation and management costs of their data sharing. The data outsourced remotely in the storage space of cloud service provider also brings data security concerns about data integrity. Data integrity verification has become an important technology for detecting the integrity of remote shared data. However, users without data access rights to verify the data integrity will cause unnecessary overhead to data owner and cloud service provider. Especially malicious users who constantly launch data integrity verification will greatly waste service resources. Since data owner is a consumer purchasing cloud services, he needs to bear both the cost of data storage and that of data verification. This paper proposes a verification control algorithm in data integrity verification for remotely outsourced data. It designs an attribute-based encryption verification control algorithm for multiple verifiers. Moreover, data owner and cloud service provider construct a common access structure together and generate a verification sentinel to verify the authority of verifiers according to the access structure. Finally, since cloud service provider cannot know the access structure and the sentry generation operation, it can only authenticate verifiers with satisfying access policy to verify the data integrity for the corresponding outsourced data. Theoretical analysis and experimental results show that the proposed algorithm achieves fine-grained access control to multiple verifiers for the data integrity verification.

A Study on the Functional Requirement of Subject Authority Data for Subject Authority Control (서지레코드의 주제전거를 위한 FRSAD 모형 연구)

  • Park, Zi-Young
    • Journal of Information Management
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    • v.42 no.1
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    • pp.113-135
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    • 2011
  • The final report of the Functional Requirement of Subject Authority Data(FRSAD), the 3rd report of the FRBR family model, is announced by IFLA in June, 2010. This model represents the international trends of subject authority control and suggests a direction to the future subject authority record suitable for the FRBR system. Therefore aims of this study are to analysis the FRSAD model in context of the FRBR family and apply the model to the subject headings and bibliographic records of Korean National Library. For these aims, we analyse the model focused on the entities, attributes, and relationships between entities. From this analysis, we have found the openness of the FRSAD, which does not force a certain entity types and has focus on the conceptual aspects of the entity not only the form of the headings. Moreover, we suggest examples by applying the FRSAD frame and facets of the FAST to the Headings of the NLSH and related KORMARC fields. The scope of this study is the additional entities of the FRBR groups, so personal names, corporate names, family names and titles are not included. As a result, it is necessary to determine the criteria for the types of thema and to apply the types consistently in bibliographic records. A follow up research will be needed to suggest more detailed examples.

A study on the characteristics of fuel performance according to the oxygenated additive type for gasoline fuel Part 1. Fuel properties and evaporative emission characteristics (휘발유 연료용 함산소 첨가제 종류에 따른 성능 특성 연구 Part 1. 연료물성 및 증발가스 배출 특성)

  • Lee, Min-Ho;Kim, Jong-Ryeol;Kim, Ki-Ho;Ha, Jong-Han
    • Journal of the Korean Applied Science and Technology
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    • v.33 no.1
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    • pp.118-128
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    • 2016
  • As the interest on the air-pollution is gradually rising up at home and abroad, automotive and fuel researchers have been working on the exhaust emission reduction from vehicles through a lot of approaches, which consist of new engine design, innovative after-treatment systems, using clean (eco-friendly alternative) fuels and fuel quality improvement. This research has brought forward two main issues : exhaust emission and PM (particulate matter) particle emissions of gasoline vehicle. Exhaust emission and PM particle of automotive had many problem that cause of ambient pollution, health effects. In addition, researcher studied the environment problems of the MTBE contained in the fuel as oxygenate additives. The researchers have many data about the health effects of ingestion of MTBE. However, the data support the conclusion that MTBE is a potential human carcinogen at high doses. Based on the oxygenated fuel additive types (MTBE, Bio-ETBE, Bio-ethanol, Bio-butanol), this paper discussed the influence of oxygen contents on gasoline fuel properties and evaporative emission characteristics. Also, this paper assessed the acceleration and power performance of gasoline vehicle for the fuel property.

A Study on Seasonal Variation in Marine Traffic Congestion on Major Port and Coastal Routes (주요 항만 및 연안항로의 계절별 해상교통혼잡도 변화에 관한 연구)

  • Kang, Won-Sik;Song, Tae-Han;Kim, Young-Du;Park, Young-Soo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.23 no.1
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    • pp.1-8
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    • 2017
  • In this study, a congestion assessment was conducted to verify seasonal differences in congestion for major coastal traffic routes and fairways in major ports with GICOMS Data for 7 days without issuing a special weather report. As a result, a maximum of 11 % and 82 % are shown, with an average of 3.5 % and a 30 % seasonal difference for hourly average congestion and peak time congestion. Therefore, seasonal differences for the target area should be taken into consideration to perform further congestion assessments, particularly for maritime traffic safety assessments, and keen attention should be given to setting up safety measures against congestion.

A Study on the Cause Analysis of Human Error for of Railway Accidents using HEAR Analysis Methods (HEAR 분석방법을 이용한 철도사고의 인적오류 원인분석 연구)

  • Lee, Yong Man;Park, Min Kyu;Shin, Tack Hyun
    • Journal of the Korea Safety Management & Science
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    • v.15 no.4
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    • pp.73-80
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    • 2013
  • Because the damages of corrosion resulting from the chloride ion are very serious, many research studies have been performed to measure the penetration depth of the chloride ion. However, there is a problem with data selection obtained from collection during experiments. In this study, it appears that the collected data are not conformed to a normal distribution. The result of this study will play a very important role, as a first step for the development and construction of a forecasting system to help determine a reliable service lifetime of marine structures.

Energy Forecasting Information System of Optimal Electricity Generation using Fuzzy-based RERNN with GPC

  • Elumalaivasan Poongavanam;Padmanathan Kasinathan;Karunanithi Kandasamy;S. P. Raja
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.10
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    • pp.2701-2717
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    • 2023
  • In this paper, a hybrid fuzzy-based method is suggested for determining India's best system for power generation. This suggested approach was created using a fuzzy-based combination of the Giza Pyramids Construction (GPC) and Recalling-Enhanced Recurrent Neural Network (RERNN). GPC is a meta-heuristic algorithm that deals with solutions for many groups of problems, whereas RERNN has selective memory properties. The evaluation of the current load requirements and production profile information system is the main objective of the suggested method. The Central Electricity Authority database, the Indian National Load Dispatch Centre, regional load dispatching centers, and annual reports of India were some of the sources used to compile the data regarding profiles of electricity loads, capacity factors, power plant generation, and transmission limits. The RERNN approach makes advantage of the ability to analyze the ideal power generation from energy data, however the optimization of RERNN factor necessitates the employment of a GPC technique. The proposed method was tested using MATLAB, and the findings indicate that it is effective in terms of accuracy, feasibility, and computing efficiency. The suggested hybrid system outperformed conventional models, achieving the top result of 93% accuracy with a shorter computation time of 6814 seconds.

A Study on the Identification Algorithm for Organization's Name of Author of Korean Science & Technology Contents (국내 과학기술콘텐츠 저자의 소속기관명 식별을 위한 소속기관명 자동 식별 알고리즘에 관한 연구)

  • Kim, Jinyoung;Lee, Seok-Hyong;Suh, Dongjun;Kim, Kwang-Young;Yoon, Jungsun
    • Journal of Digital Contents Society
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    • v.18 no.2
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    • pp.373-382
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    • 2017
  • As the number of scientific and technical contents increases, services that support efficient search of scientific and technical contents are required. When an author's affiliation is used as a keyword, not only the contents produced by the affiliation can be searched, but also the identification rate of the search result using the author and the term as keyword can be improved. Because of the ambiguity and vagueness of the data used as a search keyword, the search result may include false negative or false positive. However, the previous research on the control through identification of the search keyword is mainly focused on the author data and terminology data. In this paper, we propose the algorithm to identify affiliations and experiment with show the experiment with scientific and technological contents held by the Korea Institute of Science and Technology Information.

Evaluation of Websites of Public Libraries of India under Ministry of Culture: A Webometric Analysis

  • Brahma, Krishna;Verma, Manoj Kumar
    • Journal of Information Science Theory and Practice
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    • v.6 no.3
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    • pp.16-24
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    • 2018
  • The purpose of this paper is to investigate the domain authority, number of webpages, links, and calculate the web impact factor of six public libraries of India which are fully funded by Ministry of Culture with the supervision of administration. The data for the study were collected from websites of concerned libraries with the help of a suitable search engine, Open Site Explorer. The study found that the highest domain and page authority was recorded by Khuda Baksh Oriental Public Library and National Library, respectively. It also further revealed that excepting the two libraries, i.e., Khuda Baksh Oriental Public Library and Delhi Public Library, the internal equity-passing links and total internal links of rest of the libraries is zero. National Library leads with maximum total links and total equity-passing links, also with the highest followed linking root domains, total linking root domains, and linking C blocks, and concludes with the web impact factor of Central Secretariat Library recording the maximum, followed by National Library and Khuda Baksh Oriental Public Library.

Studies on the Exhaust Gas Characteristics of the Vehicle Diesel according to the Test Mode and Ambient Temperature (시험모드 및 대기온도에 따른 경유자동차의 배출가스 특성에 관한 연구)

  • Lee, Jung-Cheon;Jeon, Cheol-Hwan;Kim, Ki-Ho;Oh, Sang-Gi;Park, An-Young
    • Journal of Power System Engineering
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    • v.20 no.6
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    • pp.93-98
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    • 2016
  • Environmental problems are issued throughout all over the world and which are needed the strength management. In case of the diesel cars are also being developing and studying continuously about various after-treatments device such as EGR, LNT, SCR, DPF and DOC etc. which are used for decreasing $NO_X$ and PM. The air temperature goes up to $39^{\circ}C$ in summer and goes down to $-20^{\circ}C$ in winter because of the location. These changing of the temperature can effect to the engine and harmful exhaust gas discharged and it seems to make the increase - decrease different. The result of the evaluate while changing between the test-mode and the air temperature, which expresses that WLTC-mode is 2.2 times and FTP_75 mode is 4.1~6 times increase to the comparison NEDC-mode of the current regulation. The exhaust characteristic of $NO_X$ by the changing temperature increases in the low temperature and 4.3 times in $14^{\circ}C$ and 21.3 times in $-7^{\circ}C$ with maximum when it compares to $23^{\circ}C$. The fuel efficiency of the different weight car and engine with same data is about 5.7 % in maximum.

A Study on a Distributed Data Fabric-based Platform in a Multi-Cloud Environment

  • Moon, Seok-Jae;Kang, Seong-Beom;Park, Byung-Joon
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.321-326
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    • 2021
  • In a multi-cloud environment, it is necessary to minimize physical movement for efficient interoperability of distributed source data without building a data warehouse or data lake. And there is a need for a data platform that can easily access data anywhere in a multi-cloud environment. In this paper, we propose a new platform based on data fabric centered on a distributed platform suitable for cloud environments that overcomes the limitations of legacy systems. This platform applies the knowledge graph database technique to the physical linkage of source data for interoperability of distributed data. And by integrating all data into one scalable platform in a multi-cloud environment, it uses the holochain technique so that companies can easily access and move data with security and authority guaranteed regardless of where the data is stored. The knowledge graph database mitigates the problem of heterogeneous conflicts of data interoperability in a decentralized environment, and Holochain accelerates the memory and security processing process on traditional blockchains. In this way, data access and sharing of more distributed data interoperability becomes flexible, and metadata matching flexibility is effectively handled.