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THE QUASAR LUMINOSITY FUNCTION OF THE MILLIQUAS, MASTER AND 2QZ QUASAR CATALOGS

  • MOHAMMADI, TALIEH;BIDGOLI, SEPEHR ARBABI
    • Publications of The Korean Astronomical Society
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    • v.30 no.2
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    • pp.461-462
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    • 2015
  • Quasars are among the farthest and brightest objects known in the universe. Because quasars are mostly observed in the redshift range between 1 and 3, they can be used to study large scale structure in the universe, and its evolution over the past billion years. An important issue is the evolution of the quasar luminosity function, which has been investigated for relative small samples of the 2QZ catalog. Here we extend the study to 3 quasar samples, the most recent data of the Milliquas, Master and 2QZ quasar catalogs to determine the luminosity function of quasars and its evolution, using the Standard cosmological ${\Lambda}CDM$ model with ${\Omega}_{\Lambda}=0.73$, ${\Omega}_M=0.27$, and $H_0=70kms^{-1}Mpc^{-1}$. For the purpose of this analysis we initially used 0.25-mag bins and approximately 0.180-redshift bins, then calculated the comoving distance and comoving volume for each bin of redshift and calculated the number of objects in each bin per unit volume, in order to find the number density per absolute magnitude bin. Our analysis on the basis of these new and much more complete datasets is largely in agreement with earlier studies of the luminosity evolution of quasars.

Government-Controlled Companies and Audit Committee Effectiveness: An Empirical Study on Saudi Stock Exchange

  • SHARMA, Raj Bahadur;BAGAIS, Omer Ali;ALJAAIDI, Khaled Salmen
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.363-368
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    • 2021
  • This study attempts to examine whether ownership of government-controlled corporations and audit committee effectiveness are related. The population of this study is 431 listed manufactured firms in the Saudi Stock Exchange (Tadawul) for the period 2012-2019 that published their financial and annual reports for the period 2012-2019. This population criterion is based on considerations that manufacturing companies listed on Tadawul have publicly accessible data and they have greater obligations to implement corporate governance code. Using the complementary hypothesis, this study predicts that there is a positive relationship between the ownership of government-controlled companies and audit committee effectiveness. The Pooled OLS regression shows that government-controlled companies' ownership is positively associated with audit committee effectiveness. Our study also indicates that ownership of government-controlled companies as a governance monitoring mechanism becomes more effective as it is combined with audit committee effectiveness which is another governance monitoring mechanism. The results of this study provide insightful evidence to policymakers at the company and country levels on the relationship of government-corporate ownership and audit committee effectiveness.

The Impact of Board Activity on The Audit Committee's Effectiveness Score: Empirical Evidence from Saudi Arabia

  • ALJAAIDI, Khaled Salmen;BAGAIS, Omer Ali;ADOW, Anass Hamad Elneel
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.179-185
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    • 2021
  • The aim of this study is to examine the impact of board of directors' activity on the audit committee's effectiveness score among manufactured listed companies on Saudi Stock Exchange (Tadawul) for the period 2015-2017. The final sample of this study consists of 195 firm-year observations that represent manufactured companies listed on Saudi Stock Exchange (Tadawul) for the years 2015-2017. The data of this study in terms of board of directors' meetings, audit committee size and meetings, firm leverage, firm performance, and firm age were hand-collected from the annual reports of the considered companies. The Pooled OLS regression's result indicate that audit committee's effectiveness score is influenced by the board of directors' activity. This result gives support to the agency theory prediction. This result is also consistent with the complementary function of corporate governance mechanisms in which board of directors' activity complements the function of audit committee's effectiveness score. The result of this study should be useful for manufacturing companies, Saudi Stock Exchange, auditors, and regulators which relates to the association between board of directors' activity and audit committee's effectiveness score. This study provides a new empirical evidence on the impact of board activity on the audit committee's effectiveness score in an interesting context which is Saudi Arabia.

GIS Vector Map Compression using Spatial Energy Compaction based on Bin Classification (빈 분류기반 공간에너지집중기법을 이용한 GIS 벡터맵 압축)

  • Jang, Bong-Joo;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.49 no.3
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    • pp.15-26
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    • 2012
  • Recently, due to applicability increase of vector data based digital map for geographic information and evolution of geographic measurement techniques, large volumed GIS(geographic information service) services having high resolution and large volumed data are flowing actively. This paper proposed an efficient vector map compression technique using the SEC(spatial energy compaction) based on classified bins for the vector map having 1cm detail and hugh range. We encoded polygon and polyline that are the main objects to express geographic information in the vector map. First, we classified 3 types of bins and allocated the number of bits for each bin using adjacencies among the objects. and then about each classified bin, energy compaction and or pre-defined VLC(variable length coding) were performed according to characteristics of classified bins. Finally, for same target map, while a vector simplification algorithm had about 13%, compression ratio in 1m resolution we confirmed our method having more than 80% encoding efficiencies about original vector map in the 1cm resolution. Also it has not only higher compression ratio but also faster computing speed than present SEC based compression algorithm through experimental results. Moreover, our algorithm presented much more high performances about accuracy and computing power than vector approximation algorithm on same data volume sizes.

Antagonistic Regulation of Arabidopsis Growth by Brassinosteroids and Abiotic Stresses

  • Chung, Yuhee;Kwon, Soon Il;Choe, Sunghwa
    • Molecules and Cells
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    • v.37 no.11
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    • pp.795-803
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    • 2014
  • To withstand ever-changing environmental stresses, plants are equipped with phytohormone-mediated stress resistance mechanisms. Salt stress triggers abscisic acid (ABA) signaling, which enhances stress tolerance at the expense of growth. ABA is thought to inhibit the action of growth-promoting hormones, including brassinosteroids (BRs). However, the regulatory mechanisms that coordinate ABA and BR activity remain to be discovered. We noticed that ABA-treated seedlings exhibited small, round leaves and short roots, a phenotype that is characteristic of the BR signaling mutant, brassinosteroid insensitive1-9 (bri1-9). To identify genes that are antagonistically regulated by ABA and BRs, we examined published Arabidopsis microarray data sets. Of the list of genes identified, those upregulated by ABA but downregulated by BRs were enriched with a BRRE motif in their promoter sequences. After validating the microarray data using quantitative RT-PCR, we focused on RD26, which is induced by salt stress. Histochemical analysis of transgenic Arabidopsis plants expressing RD26pro:GUS revealed that the induction of GUS expression after NaCl treatment was suppressed by co-treatment with BRs, but enhanced by co-treatment with propiconazole, a BR biosynthetic inhibitor. Similarly, treatment with bikinin, an inhibitor of BIN2 kinase, not only inhibited RD26 expression, but also reduced the survival rate of the plant following exposure to salt stress. Our results suggest that ABA and BRs act antagonistically on their target genes at or after the BIN2 step in BR signaling pathways, and suggest a mechanism by which plants fine-tune their growth, particularly when stress responses and growth compete for resources.

Development of the Embedded System-based Real-time Internal Status Identification System for Overhead Bin (임베디드 시스템 기반 오버헤드 빈 내부 상황 실시간 식별 시스템 개발)

  • Jaeeun Kim;Hyejung Lim;Sungwook Cho
    • Journal of Aerospace System Engineering
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    • v.17 no.2
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    • pp.111-119
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    • 2023
  • Internal storage state, weight data, and weight-centered calculation values for overhead bin can all be seen in this paper's real-time internal status identification system. The suggested system offers such valuable data via a range of sensors, including load cells and switch arrays. The proposed system could locate internal free space, locate the center of gravity, and give real-time visual information. It was developed utilizing an embedded system and the C programming language. These features led to the creation of smart overhead bins and real-time cargo loading monitoring technologies, both of which could one day aid in the creation of a cargo loading automation system.

Fan and Heater Management Schemes for Layer Filling and Mixing Drying of Rough Rice with Natural Air by Simulation (시뮬레이션에 의한 벼의 누적혼합 상온통풍건조의 송풍기 및 가열기의 운영방법에 관한 연구)

  • 금동혁;한충수;박춘우
    • Journal of Biosystems Engineering
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    • v.23 no.3
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    • pp.229-244
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    • 1998
  • This study was performed to determine proper fan and heater management schemes for natural air drying of rough rice in round steel bin with stirring device under Korean weather conditions. A computer simulation model was developed to predict moisture content changes, energy requirements, and drymatter losses during drying of rough rice by natural air. Drying test was conducted to validate the simulation model using round steel bin of holding capacity of 300ton at Rice Processing Complex in Jincheon. The bin was filled with rough rice every day and mixing by stirring device. Moisture contents, ambient air temperatures, relative humidities, static pressures in plenum chamber in the bin, airflow rates, and electrical and fuel energy were measured. Relative errors of moisture content changes predicted by the simulation model were below 5ft, and relative errors of final moisture content, final grain weight, required energy ranged from 0.9% to 6%. These not levels indicated that the simulation model can satisfactorily predict the performance factors of natural air drying system such as drying rates and energr consumptions comparing error level of 10% to 15% in other drying simulation models generally used in dryer desists. Twelve different fan and heater management schemes were evaluated using the computer simulation model based on three hourly weather data from Suweon for the period of 1952-1994. The best management schemes were selected comparing the drymatter losses, required drying times, required energy consumptions. Operating fan without heating only when ambient relative humidity was below 85% or 90% appeared to be the most effective method of In operation in favorable drying weather. Under adverse drying climates or to reduce required drying time, operating fan continuously, and heating air with $1.5^{\circ}C$ temperature rise only when ambient relative humidity was over 85% appeared to be the most suitable method.

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The Efficient Cut Detection Algorithm Using the Weight in News Video Data (뉴스 비디오 데이터에서의 가중치를 이용한 효율적 장면변환 검출 알고리즘)

  • Jeong, Yeong-Eun;Lee, Dong-Seop;Sin, Seong-Yun;Jeon, Geun-Hwan;Bae, Seok-Chan;Lee, Yang-Won
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.2
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    • pp.282-291
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    • 1999
  • In order to construct the News Video Database System, cut detection technique is very important. In general, the color histogram, $\chi$2 histogram or Bin-to-Bin difference(B2B) techniques are mainly using for the scene partitioning. In this paper, we propose the efficient algorithm that is applied the weight in terms of NTSC standard to cut detection. This algorithm is able to reduce the time of acquiring and comparing histogram using by separate calculation of R, G, and B for the color histogram technique. And it also provide the efficient selection method fo threshold value by and use the news videos of KBS, MBC, SBS, CNN and NHK as experimental domains. By the result of experiment, we present the proposed algorithm is more efficient for cut detection than the previous methods, and that the basis for the automatic selection of threshold values.

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Survey on Data Deduplication in Cloud Storage Environments

  • Kim, Won-Bin;Lee, Im-Yeong
    • Journal of Information Processing Systems
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    • v.17 no.3
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    • pp.658-673
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    • 2021
  • Data deduplication technology improves data storage efficiency while storing and managing large amounts of data. It reduces storage requirements by determining whether replicated data is being added to storage and omitting these uploads. Data deduplication technologies require data confidentiality and integrity when applied to cloud storage environments, and they require a variety of security measures, such as encryption. However, because the source data cannot be transformed, common encryption techniques generally cannot be applied at the same time as data deduplication. Various studies have been conducted to solve this problem. This white paper describes the basic environment for data deduplication technology. It also analyzes and compares multiple proposed technologies to address security threats.