• Title/Summary/Keyword: Field Matching

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Leveraging Analytics for Talent Acquisition: Case of IT Sector in India

  • Avik Ghosh;Bhaskar Basu
    • Asia pacific journal of information systems
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    • v.30 no.4
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    • pp.879-918
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    • 2020
  • One of the challenges faced by Talent Acquisition teams today pertains to the acquisition of human resources by matching job descriptions and skillsets desired. It is more so in the case of competitive sectors like the Indian IT sector. There can be various channels for Talent Acquisition and accordingly, the cost and benefits might vary. However, the consequences of a mismatch have an impact on the quality of deliverables, high recruitment expenses and loss of revenue for the organization. With increased and diverse sources of data that are available to organizations today, there is ample opportunity to apply analytics for informed decision making in this field. This paper reveals useful insights that help streamline the Talent Acquisition process in the Indian IT Industry. The paper adopts a data-centric approach to examine the critical determinants for efficient and effective Talent Acquisition process in IT organizations. Selected supervised machine learning algorithms are applied for the analysis of the dataset. The study is likely to help organizations in reassessing their talent acquisition strategy with respect to key parameters like expected cost to company (CTC), candidate sourcing channels and optimal joining period.

Establish Manufacturing Firms' Response Strategy to the Serious Accident Punishment Act Using IPA (IPA를 활용한 제조기업의 중대재해처벌법 대응방안 수립)

  • Seo, JunHyeok;SungMin Bae
    • Journal of Korean Society for Quality Management
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    • v.51 no.4
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    • pp.607-618
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    • 2023
  • Purpose: In this study, we proposed a plan to establish and implement a safety and health management system by utilizing corporate resources so that manufacturing companies can effectively respond to the Serious Accident Punishment Act. Methods: We identified critical factors and response strategies necessary for manufacturing companies to respond to the Severe Accident Punishment Act effectively and surveyed employees working at the company regarding their importance and performance. Results: In this study, we presented a method of strategically constructing the response strategies (20) shown in previous studies by matching them with the company's resources (leadership, organization, budget, education, and awareness). In particular, leadership refers to the ability of managers who can prevent serious accidents by carrying out safety and health security obligations to avoid safety and health hazards or risks to employees in the business or workplace that is controlled, operated, and managed. Conclusion: Based on the manager's firm leadership, the system's purpose and direction must be accurately set and sufficiently communicated to members. In addition, for companies to identify and improve risk factors on their own, a Process approach must be established to improve execution by referring to legal standards together with field managers and supervisors.

Low Complexity Motion Estimation Based on Spatio - Temporal Correlations (시간적-공간적 상관성을 이용한 저 복잡도 움직임 추정)

  • Yoon Hyo-Sun;Kim Mi-Young;Lee Guee-Sang
    • Journal of KIISE:Software and Applications
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    • v.31 no.9
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    • pp.1142-1149
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    • 2004
  • Motion Estimation(ME) has been developed to reduce temporal redundancy in digital video signals and increase data compression ratio. ME is an Important part of video encoding systems, since it can significantly affect the output quality of encoded sequences. However, ME requires high computational complexity, it is difficult to apply to real time video transmission. for this reason, motion estimation algorithms with low computational complexity are viable solutions. In this paper, we present an efficient method with low computational complexity based on spatial and temporal correlations of motion vectors. The proposed method uses temporally and spatially correlated motion information, the motion vector of the block with the same coordinate in the reference frame and the motion vectors of neighboring blocks around the current block in the current frame, to decide the search pattern and the location of search starting point adaptively. Experiments show that the image quality improvement of the proposed method over MVFAST (Motion Vector Field Adaptive Search Technique) and PMVFAST (Predictive Motion Vector Field Adaptive Search Technique) is 0.01~0.3(dB) better and the speedup improvement is about 1.12~l.33 times faster which resulted from lower computational complexity.

Cataloging Trends after LRM and its Acceptance in KORMARC Bibliographic Format (LRM 이후 목록 동향과 KORMARC 통합서지용에서의 수용 방안)

  • Lee, Mihwa;Lee, Eun-Ju;Rho, Jee-Hyun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.1
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    • pp.25-45
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    • 2022
  • This study was to develop KORMARC-bibliographic format reflecting cataloging trends after LRM using literature review, analysis of MARC 21 discussion papers, and comparison of the fields in MARC 21 and KORMARC. The acceptance and consideration of fields and sub-fields that need to be revised in KORMARC are as follows. First, in terms of LRM / RDA, fields 381 or 387 for the representative expression, field 881 and the change and addition of its sub-fields for the manifestation statement, and data provenance code to ▾7 sub-field for date provenance may be considered. Second, in terms of Linked Data, ▾1 sub-field for RWO, and field 758 for related work identifier can be added. Third, for the data exchange of KORMARC and BIBFRAME, it should be developed in consideration of mapping with BIBFRAME classes and attributes in KORMARC. Fourth, additional fields such as 251 version information, 334 mode of issuance, 335 expansion plan, 341 accessibility content, 348 format of notated music, 353 supplementary content characteristics, 532 accessibility note, 370 associated place, 385 audience characteristics, 386 creator/contributor characteristics, 388 time period of creation, 688 subject added entry-type of entity unspecified, 884 description conversion information, 885 matching information could be developed. This study will be used to revise KORMARC-bibliographic format and to build and utilize bibliographic data in domestic libraries.

Identification and classification of fresh lubricants and used engine oils by GC/MS and bayesian model (GC/MS 분석과 베이지안 분류 모형을 이용한 새 윤활유와 사용 엔진 오일의 동일성 추적과 분류)

  • Kim, Nam Yee;Nam, Geum Mun;Kim, Yuna;Lee, Dong-Kye;Park, Seh Youn;Lee, Kyoungjae;Lee, Jaeyong
    • Analytical Science and Technology
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    • v.27 no.1
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    • pp.41-59
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    • 2014
  • The aims of this work were the identification and the classification of fresh lubricants and used engine oils of vehicles for the application in forensic science field-80 kinds of fresh lubricants were purchased and 86 kinds of used engine oils were sampled from 24 kinds of diesel and gasoline vehicles with different driving conditions. The sample of lubricants and used engine oils were analyzed by GC/MS. The Bayesian model technique was developed for classification or identification. Both the wavelet fitting and the principal component analysis (PCA) techniques as a data dimension reduction were applied. In fresh lubricants classification, the rates of matching by Bayesian model technique with wavelet fitting and PCA were 97.5% and 96.7%, respectively. The Bayesian model technique with wavelet fitting was better to classify lubricants than it with PCA based on dimension reduction. And we selected the Bayesian model technique with wavelet fitting for classification of lubricants. The other experiment was the analysis of used engine oils which were collected from vehicles with the several mileage up to 5,000 km after replacing engine oil. The eighty six kinds of used engine oil sample with the mileage were collected. In vehicle classification (total 24 classes), the rate of matching by Bayesian model with wavelet fitting was 86.4%. However, in the vehicle's fuel type classification (whether it is gasoline vehicle or diesel vehicle, only total 2 classes), the rate of matching was 99.6%. In the used engine oil brands classification (total 6 classes), the rate of matching was 97.3%.

Spatial Variability of in situ and GOCI and MODIS Chlorophyll and CDOM in Summer at the East Sea (여름철 동해의 현장측정치와 GOCI와 MODIS 위성 자료로 측정한 엽록소와 유색용존유기물의 공간 변동성)

  • Park, Mi-Ok;Shin, Woo-Chul;Son, Young-Baek;Noh, Tae-Geun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.4
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    • pp.327-338
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    • 2015
  • Because of impact on the underwater light field, CDOM can influence the accuracy of global satellite-based measurement of ocean chlorophyll and primary productivity. So we investigated the distribution and seasonal variation of CDOM in the East Sea during summer 2009 and 2011. Among them we report two distinctively different summer cases between 2009 and 2011 year, in which showed the different main sources for CDOM. Regulating factors and sources of CDOM in the East Sea were examined. Comparison between in situ and satellite derived Chl a and CDOM were made to find an influence of CDOM on measurement of satellite derived Chl a. Similar pattern and matching of MODIS Chl a with in situ Chl a 2009 was comparable, but significant discrepancy between MODIS Chl a and in situ Chl a was found, when CDOM was high in summer of 2011. GOCI data showed better matching with in situ data for both Chl a and CDOM, compared to MODIS data in summer of 2011. The presence of high CDOM at the surface layer supplied by vertical mixing seems to affect on the overestimation of Chl a by satellite data.

Building Matching Analysis and New Building Update for the Integrated Use of the Digital Map and the Road Name Address Map (수치지도와 도로명주소지도의 통합 활용을 위한 건물 매칭 분석과 신규 건물 갱신)

  • Yeom, Jun Ho;Huh, Yong;Lee, Jeabin
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.5
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    • pp.459-467
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    • 2014
  • The importance of fusion and association using established spatial information has increased gradually with the production and supply of various spatial data by public institutions. The generation of necessary spatial information without field investigation and additional surveying can reduce time, labor, and financial costs. However, the study of the integration of the newly introduced road name address map with the digital map is very insufficient. Even though the use of the road name address map is encouraged for public works related to spatial information, the digital map is still widely used because it is the national basic map. Therefore, in this study, building matching and update were performed to associate the digital map with the road name address map. After geometric calibration using the block-based ICP (Iterative Closest Point) method, multi-scale corresponding pair searching with hierarchical clustering was applied to detect the multi-type match. The accuracy assessment showed that the proposed method is more than 95% accurate and the matched building layer of the two maps is useful for the integrated application and fusion. In addition, the use of the road name address map, which carries the latest and most frequently renewed data, enables cost-effective updating of new buildings.

Deinterlacing Method for improving Motion Estimator based on multi arithmetic Architecture (다중연산구조기반의 고밀도 성능향상을 위한 움직임추정의 디인터레이싱 방법)

  • Lee, Kang-Whan
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.1
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    • pp.49-55
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    • 2007
  • To improved the multi-resolution fast hierarchical motion estimation by using de-interlacing algorithm that is effective in term of both performance and VLSI implementation, is proposed so as to cover large search area field-based as well as frame based image processing in SoC design. In this paper, we have simulated a various picture mode M=2 or M=3. As a results, the proposed algorithm achieved the motion estimation performance PSNR compare with the full search block matching algorithm, the average performance degradation reached to -0.7dB, which did not affect on the subjective quality of reconstructed images at all. And acquiring the more desirable to adopt design SoC for the fast hierarchical motion estimation, we exploit foreground and background search algorithm (FBSA) base on the dual arithmetic processor element(DAPE). It is possible to estimate the large search area motion displacement using a half of number PE in general operation methods. And the proposed architecture of MHME improve the VLSI design hardware through the proposed FBSA structure with DAPE to remove the local memory. The proposed FBSA which use bit array processing in search area can improve structure as like multiple processor array unit(MPAU).

A Seamline Extraction Technique Considering the Characteristic of NDVI for High Resolution Satellite Image Mosaics (고해상도 위성영상 모자이크를 위한 NDVI 특성을 이용한 접합선 추출 기법)

  • Kim, Jiyoung;Chae, Taebyeong;Byun, Younggi
    • Korean Journal of Remote Sensing
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    • v.31 no.5
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    • pp.395-408
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    • 2015
  • High-resolution satellite image mosaics are becoming increasingly important in the field of remote sensing image analysis as an essential image processing to create a large image constructed from several smaller images. In this paper, we present an automatic seamline extraction technique and the procedure to generate a mosaic image by this technique. For more effective seamline extraction in the overlap region of adjacent images, an NDVI-based seamline extraction technique is developed, which takes advantage of the computational time and memory. The Normalized Difference Vegetation Index(NDVI) is an index of plant "greeness" or photosynthetic activity that is employed to extract the initial seamline. The NDVI can divide into manmade region and natural region. The cost image is obtained by the canny edge detector and the buffering technique is used to extract the ranging cost image. The seamline is extracted by applying the Dijkstra algorithm to a cost image generated through the labeling process of the extracted edge information. Histogram matching is also conducted to alleviate radiometric distortion between adjacent images acquired at different time. In the experimental results using the KOMPSAT-2/3 satellite imagery, it is confirmed that the proposed method greatly reduces the visual discontinuity caused by geometric difference of adjacent images and the computation time.

A Study on Motion Estimator Design Using DCT DC Value (DCT 직류 값을 이용한 움직임 추정기 설계에 관한 연구)

  • Lee, Gwon-Cheol;Park, Jong-Jin;Jo, Won-Gyeong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.3
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    • pp.258-268
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    • 2001
  • The compression method is necessarily used to send the high quality moving picture that contains a number of data in image processing. In the field of moving picture compression method, the motion estimation algorithm is used to reduce the temporal redundancy. Block matching algorithm to be usually used is distinguished partial search algorithm with full search algorithm. Full search algorithm be used in this paper is the method to compare the reference block with entire block in the search window. It is very efficient and has simple data flow and control circuit. But the bigger the search window, the larger hardware size, because large computational operation is needed. In this paper, we design the full search block matching motion estimator. Using the DCT DC values, we decide luminance. And we apply 3 bit compare-selector using bit plane to I(Intra coded) picture, not using 8 bit luminance signals. Also it is suggested that use the same selective bit for the P(Predicted coded) and B(Bidirectional coded) picture. We compare based full search method with PSNR(Peak Signal to Noise Ratio) for C language modeling. Its condition is the reference block 8$\times$8, the search window 24$\times$24 and 352$\times$288 gray scale standard video images. The result has small difference that we cannot see. And we design the suggested motion estimator that hardware size is proved to reduce 38.3% for structure I and 30.7% for structure II. The memory is proved to reduce 31.3% for structure I and II.

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