• Title/Summary/Keyword: Model mismatch

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A BERT-based Transfer Learning Model for Bidirectional HR Matching (양방향 인재매칭을 위한 BERT 기반의 전이학습 모델)

  • Oh, Sojin;Jang, Moonkyoung;Song, Hee Seok
    • Journal of Information Technology Applications and Management
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    • v.28 no.4
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    • pp.33-43
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    • 2021
  • While youth unemployment has recorded the lowest level since the global COVID-19 pandemic, SMEs(small and medium sized enterprises) are still struggling to fill vacancies. It is difficult for SMEs to find good candidates as well as for job seekers to find appropriate job offers due to information mismatch. To overcome information mismatch, this study proposes the fine-turning model for bidirectional HR matching based on a pre-learning language model called BERT(Bidirectional Encoder Representations from Transformers). The proposed model is capable to recommend job openings suitable for the applicant, or applicants appropriate for the job through sufficient pre-learning of terms including technical jargons. The results of the experiment demonstrate the superior performance of our model in terms of precision, recall, and f1-score compared to the existing content-based metric learning model. This study provides insights for developing practical models for job recommendations and offers suggestions for future research.

On-line model compensation using noise masking effect for robust speech recognition (잡음 차폐를 이용한 온라인 모델 보상)

  • Jung Gue-Jun;Cho Hoon-Young;Oh Yung-Hwan
    • Proceedings of the KSPS conference
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    • 2003.05a
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    • pp.215-218
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    • 2003
  • In this paper we apply PMC (parallel model combination) to speech recognition system online. As a representative of model based noise compensation techniques, PMC compensates environmental mismatch by combining pretrained clean speech models and real-time estimated noise information. This is very effective approach for compensating extreme environmental mismatch but is inadequate to use in on-line system for heavy computational cost. To reduce the computational cost and to apply PMC online, we use a noise masking effect - the energy in a frequency band is dominated either by clean speech energy or by noise energy - in the process of model compensation. Experiments on artificially produced noisy speech data confirm that the proposed technique is fast and effective for the on-line model compensation.

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Speech Recognition in Car Noise Environments Using Multiple Models Based on a Hybrid Method of Spectral Subtraction and Residual Noise Masking

  • Song, Myung-Gyu;Jung, Hoi-In;Shim, Kab-Jong;Kim, Hyung-Soon
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.3E
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    • pp.3-8
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    • 1999
  • In speech recognition for real-world applications, the performance degradation due to the mismatch introduced between training and testing environments should be overcome. In this paper, to reduce this mismatch, we provide a hybrid method of spectral subtraction and residual noise masking. We also employ multiple model approach to obtain improved robustness over various noise environments. In this approach, multiple model sets are made according to several noise masking levels and then a model set appropriate for the estimated noise level is selected automatically in recognition phase. According to speaker independent isolated word recognition experiments in car noise environments, the proposed method using model sets with only two masking levels reduced average word error rate by 60% in comparison with spectral subtraction method.

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Performance Analysis of Array Processing Techniques for GNSS Receivers under Array Uncertainties

  • Lee, Sangwoo;Heo, Moon-Beom;Sin, Cheonsig;Kim, Sunwoo
    • Journal of Positioning, Navigation, and Timing
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    • v.6 no.2
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    • pp.43-51
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    • 2017
  • In this study, the effect of the steering vector model mismatch due to array uncertainties on the performance of array processing was analyzed through simulation, along with the alleviation of the model mismatch effect depending on array calibration. To increase the reliability of the simulation results, the actual steering vector of the array antenna obtained by electromagnetic simulation was used along with the Jahn's channel model, which is an experimental channel model. Based on the analysis of the power spectrum for each direction, beam pattern, and the signal-to-interference-plus-noise ratio of the beamformer output, the performance deterioration of array processing due to array uncertainties was examined, and the performance improvement of array processing through array calibration was also examined.

A stability condition of minimal variance control with mismatch of time delay

  • Hashimoto, H.;Takenami, Y.;Akizuki, K.
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.918-923
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    • 1989
  • This paper presents a stability condition for Astrom's minimal variance control(MVC) with mismatch of time delay for a SISO ARMAX model containing time delay. The proof of the condition presented here is based on the characteristic equation in the feedback system and its magnitude. This condition, from easy numerical calculation, is able to find the stability of the feedback system without knowing the real time delay.

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Understanding the Mismatch between ERP and Organizational Information Needs and Its Responses: A Study based on Organizational Memory Theory (조직의 정보 니즈와 ERP 기능과의 불일치 및 그 대응책에 대한 이해: 조직 메모리 이론을 바탕으로)

  • Jeong, Seung-Ryul;Bae, Uk-Ho
    • Asia pacific journal of information systems
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    • v.22 no.2
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    • pp.21-38
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    • 2012
  • Until recently, successful implementation of ERP systems has been a popular topic among ERP researchers, who have attempted to identify its various contributing factors. None of these efforts, however, explicitly recognize the need to identify disparities that can exist between organizational information requirements and ERP systems. Since ERP systems are in fact "packages" -that is, software programs developed by independent software vendors for sale to organizations that use them-they are designed to meet the general needs of numerous organizations, rather than the unique needs of a particular organization, as is the case with custom-developed software. By adopting standard packages, organizations can substantially reduce many of the potential implementation risks commonly associated with custom-developed software. However, it is also true that the nature of the package itself could be a risk factor as the features and functions of the ERP systems may not completely comply with a particular organization's informational requirements. In this study, based on the organizational memory mismatch perspective that was derived from organizational memory theory and cognitive dissonance theory, we define the nature of disparities, which we call "mismatches," and propose that the mismatch between organizational information requirements and ERP systems is one of the primary determinants in the successful implementation of ERP systems. Furthermore, we suggest that customization efforts as a coping strategy for mismatches can play a significant role in increasing the possibilities of success. In order to examine the contention we propose in this study, we employed a survey-based field study of ERP project team members, resulting in a total of 77 responses. The results of this study show that, as anticipated from the organizational memory mismatch perspective, the mismatch between organizational information requirements and ERP systems makes a significantly negative impact on the implementation success of ERP systems. This finding confirms our hypothesis that the more mismatch there is, the more difficult successful ERP implementation is, and thus requires more attention to be drawn to mismatch as a major failure source in ERP implementation. This study also found that as a coping strategy on mismatch, the effects of customization are significant. In other words, utilizing the appropriate customization method could lead to the implementation success of ERP systems. This is somewhat interesting because it runs counter to the argument of some literature and ERP vendors that minimized customization (or even the lack thereof) is required for successful ERP implementation. In many ERP projects, there is a tendency among ERP developers to adopt default ERP functions without any customization, adhering to the slogan of "the introduction of best practices." However, this study asserts that we cannot expect successful implementation if we don't attempt to customize ERP systems when mismatches exist. For a more detailed analysis, we identified three types of mismatches-Non-ERP, Non-Procedure, and Hybrid. Among these, only Non-ERP mismatches (a situation in which ERP systems cannot support the existing information needs that are currently fulfilled) were found to have a direct influence on the implementation of ERP systems. Neither Non-Procedure nor Hybrid mismatches were found to have significant impact in the ERP context. These findings provide meaningful insights since they could serve as the basis for discussing how the ERP implementation process should be defined and what activities should be included in the implementation process. They show that ERP developers may not want to include organizational (or business processes) changes in the implementation process, suggesting that doing so could lead to failed implementation. And in fact, this suggestion eventually turned out to be true when we found that the application of process customization led to higher possibilities of failure. From these discussions, we are convinced that Non-ERP is the only type of mismatch we need to focus on during the implementation process, implying that organizational changes must be made before, rather than during, the implementation process. Finally, this study found that among the various customization approaches, bolt-on development methods in particular seemed to have significantly positive effects. Interestingly again, this finding is not in the same line of thought as that of the vendors in the ERP industry. The vendors' recommendations are to apply as many best practices as possible, thereby resulting in the minimization of customization and utilization of bolt-on development methods. They particularly advise against changing the source code and rather recommend employing, when necessary, the method of programming additional software code using the computer language of the vendor. As previously stated, however, our study found active customization, especially bolt-on development methods, to have positive effects on ERP, and found source code changes in particular to have the most significant effects. Moreover, our study found programming additional software to be ineffective, suggesting there is much difference between ERP developers and vendors in viewpoints and strategies toward ERP customization. In summary, mismatches are inherent in the ERP implementation context and play an important role in determining its success. Considering the significance of mismatches, this study proposes a new model for successful ERP implementation, developed from the organizational memory mismatch perspective, and provides many insights by empirically confirming the model's usefulness.

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Development of a Platform to resolve the Mismatch between Job and Competence in Recruitment Market (채용시장 직무와 역량 간 미스매치 해소를 위한 플랫폼 개발)

  • Kim, Jongho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.12 no.3
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    • pp.11-24
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    • 2016
  • The purpose of this study is to develop a recruiting platform resolving the mismatch between corporate job and job finder's competence in recruitment market. For this, we investigated technological trends and limitation on recruit platform. Based on the findings, this study investigates the trends and directions related to recruiting platform evolution and identified critical success factors and development strategies for successful development of recruiting platform. Two development strategies include employment of online resume and construction of database assessing job finder's competence. We also proposed target system architecture incorporating job database, competency assessment form, capability oriented resume. To analyze user requirement national competency standards and core job capability evaluation model were analyzed. Next, we designed integrated database, user interfaces, and dynamic functionalities using the forms developed in earlier stage. Finally, we assessed the fidelity of form item, integrity of database, and the usability of interface to evaluate the effectiveness of the system.

MLLR-Based Environment Adaptation for Distant-Talking Speech Recognition (원거리 음성인식을 위한 MLLR적응기법 적용)

  • Kwon, Suk-Bong;Ji, Mi-Kyong;Kim, Hoi-Rin;Lee, Yong-Ju
    • MALSORI
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    • no.53
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    • pp.119-127
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    • 2005
  • Speech recognition is one of the user interface technologies in commanding and controlling any terminal such as a TV, PC, cellular phone etc. in a ubiquitous environment. In controlling a terminal, the mismatch between training and testing causes rapid performance degradation. That is, the mismatch decreases not only the performance of the recognition system but also the reliability of that. Therefore, the performance degradation due to the mismatch caused by the change of the environment should be necessarily compensated. Whenever the environment changes, environment adaptation is performed using the user's speech and the background noise of the changed environment and the performance is increased by employing the models appropriately transformed to the changed environment. So far, the research on the environment compensation has been done actively. However, the compensation method for the effect of distant-talking speech has not been developed yet. Thus, in this paper we apply MLLR-based environment adaptation to compensate for the effect of distant-talking speech and the performance is improved.

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Investigation of bonding properties of Al/Cu bimetallic laminates fabricated by the asymmetric roll bonding techniques

  • Vini, Mohamad Heydari;Daneshmand, Saeed
    • Advances in Computational Design
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    • v.4 no.1
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    • pp.33-41
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    • 2019
  • In this study, 2-mm Al/Cu bimetallic laminates were produced using asymmetric roll bonding (RB) process. The asymmetric RB process was carried out with thickness reduction ratios of 10%, 20% and 30% and mismatch rolling speeds 1:1, 1:1.1 and 1:1.2, separately. For various experimental conditions, finite element simulation was used to model the deformation of bimetallic Al/Cu laminates. Specific attention was focused on the bonding strength and bonding quality of the interface between Al and Cu layers in the simulation and experiment. The optimization of mismatch rolling speed ratios was obtained for the improvement of the bond strength of bimetallic laminates during the asymmetric RB process. During the finite element simulation, the plastic strain of samples was found to reach the maximum value with a high quality bond for the samples produced with mismatch rolling speed 1:1.2. Moreover, the peeling surfaces of samples around the interface of laminates after the peeling test were studied to investigate the bonding quality by scanning electron microscopy.

Retrieval Model Based on Word Translation Probabilities and the Degree of Association of Query Concept (어휘 번역확률과 질의개념연관도를 반영한 검색 모델)

  • Kim, Jun-Gil;Lee, Kyung-Soon
    • The KIPS Transactions:PartB
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    • v.19B no.3
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    • pp.183-188
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    • 2012
  • One of the major challenge for retrieval performance is the word mismatch between user's queries and documents in information retrieval. To solve the word mismatch problem, we propose a retrieval model based on the degree of association of query concept and word translation probabilities in translation-based model. The word translation probabilities are calculated based on the set of a sentence and its succeeding sentence pair. To validate the proposed method, we experimented on TREC AP test collection. The experimental results show that the proposed model achieved significant improvement over the language model and outperformed translation-based language model.