• 음성과학
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• 제11권4호
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• pp.75-88
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• 2004

In this paper, we propose a new approach to sequential linear regression adaptation of continuous density hidden Markov models (CDHMMs) based on transformation space model (TSM). The proposed TSM which characterizes the a priori knowledge of the training speakers associated with maximum likelihood linear regression (MLLR) matrix parameters is effectively described in terms of the latent variable models. The TSM provides various sources of information such as the correlation information, the prior distribution, and the prior knowledge of the regression parameters that are very useful for rapid adaptation. The quasi-Bayes (QB) estimation algorithm is formulated to incrementally update the hyperparameters of the TSM and regression matrices simultaneously. Experimental results showed that the proposed TSM approach is better than that of the conventional quasi-Bayes linear regression (QBLR) algorithm for a small amount of adaptation data.

• ETRI Journal
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• 제32권3호
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• pp.351-361
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• 2010

Multiple rotation-based transformation (MRBT) was introduced recently for mitigating the apriori-knowledge independent component analysis (AK-ICA) attack on rotation-based transformation (RBT), which is used for privacy-preserving data clustering. MRBT is shown to mitigate the AK-ICA attack but at the expense of data utility by not enabling conventional clustering. In this paper, we extend the MRBT scheme and introduce an augmented rotation-based transformation (ARBT) scheme that utilizes linearity of transformation and that both mitigates the AK-ICA attack and enables conventional clustering on data subsets transformed using the MRBT. In order to demonstrate the computational feasibility aspect of ARBT along with RBT and MRBT, we develop a toolkit and use it to empirically compare the different schemes of privacy-preserving data clustering based on data transformation in terms of their overhead and privacy.

• International Journal of Knowledge Content Development & Technology
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• 제14권3호
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• pp.77-91
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• 2024

This article aims to comprehensively analyze the crucial role played by data analytics and business intelligence (BI) strategies in propelling digital transformation within diverse industries. Through an extensive literature review and examination of real-world case studies, the study employs a systematic analysis of scholarly works and industry reports. This approach provides a panoramic view of how organizations utilize data-driven insights for competitive advantages, improved customer experiences, and fostering innovation. The findings underscore the pivotal significance of data analytics and BI strategies in influencing strategic decision-making, enhancing operational efficiency, and ensuring long-term sustainability across various industries. The study stands out in its originality by offering a unique synthesis of insights derived from scholarly works and real-world case studies, contributing to a holistic understanding of the transformative impact of data analytics and BI on contemporary business practices. While the study provides valuable insights, limitations include the scope of available literature and case studies. The implications call for further research to explore emerging trends and evolving challenges in the dynamic landscape of data analytics and BI. The practical implications highlight the tangible benefits organizations can derive from integrating data analytics and BI strategies, emphasizing their role in shaping strategic decisions and fostering operational efficiency. In a broader context, the study delves into the social implications of the symbiotic relationship between data analytics, BI, and digital transformation. It explores how these strategies impact broader societal and economic aspects, influencing innovation and sustainability.

• Asia pacific journal of information systems
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• 제11권4호
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• pp.113-133
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• 2001

We propose utilizing a fuzzy cognitive map(FCM) to integrate tacit knowledge and explicit knowledge both of which are crucial to the success of knowledge management. Recently, explicit knowledge is getting more available as CRM and data mining approaches become popular as the advent of using database and the Internet technology. However, for the knowledge management to be successful, tacit knowledge should be seamlessly integrated with explicit knowledge seamlessly. The problem hindering such effort is how to find a vehicle facilitating transformation of explicit knowledge into tacit knowledge, and vice versa. FCM has been important method for representing tacit knowledge as a form of explict knowledge. In this respect, we suggest the detailed process about how to integrate explicit knowledge and tacit knowledge by using FCM. We gathered extensive set of data from the credit card company, and applied our proposed method. Results showed that our approach is robust and promising for the field of integrating two different kinds of knowledge.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.241-251
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• 2021

This research explores and develops digital transformation factors influencing the logistics service-provider sector in Thailand while also examining the impact sustainability factors associated with digital transformation. Divided into two parts, Part one of the theoretical study framework covers 21 factors relating to logistics, including drivers, objectives, implications, and success factors. The second part concerns 23 factors associated with logistics sustainability, including economic, environmental, and social aspects. This quantitative empirical research was conducted using an online questionnaire instrument, and a structural equation modeling (SEM) technique was used to test the proposed model. The findings from 545 samples collected between August and November 2020 from respondents working in logistics service-provider companies in Thailand show that digital transformation drivers and objectives seem likely to impact success factors and implications in digital transformation positively. Digital transformation success factors also positively impact logistics sustainability. In comparison, logistics sustainability has a significant impact on Thailand's logistics service-provider sector's economic, environmental, and social aspects. Lastly, this research highlights the significance of digital transformation success factors and extends the current knowledge about digital transformation factors and their potential impact on logistics sustainability.

• 경영정보학연구
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• 제21권4호
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• pp.197-220
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• 2019

본 연구는 기업이 생존에 필요한 지식을 외부에서 조달하는 방법 중 하나로서 활용하고 있는 개방형 혁신 프로젝트를 디지털 트랜스포메이션 관점에서 분석하고 있다. 우선, 일반 소비자들이 자신들의 지식을 공유하기 위해 개방형 혁신 프로젝트에 참여할 때, 그들이 갖고 있는 동기를 분류함에 있어 기존의 내재적/외재적 이분법적 분류를 확장하여 동기 형성에 영향을 미치는 '영향자'를 중심으로 자발적 동기, 기업유발 동기, 사회유발 동기 세 가지로 분류하였다. 이러한 새로운 분류는 연결성을 중시하는 현대사회에서 '사회적 동기'가 중요한 의미를 가질 수 있다는 것을 보여준다. 그 결과 경쟁심리, 사회적 기여도 등이 새롭게 사회적 동기로 도출되었으며 그 과정에서, 기업이 프로젝트를 통해 조달하고자 하는 지식의 깊이에 따라 그 동기의 영향력이 달라진다는 가설도 도출되었다. 가설은 두 가지 방식으로 검증되었다. 첫째, 네 가지 개방형 혁신 프로젝트 사례를 조사하여 각 사례에서 강조된 동기들이 무엇이며 어떻게 디지털 트랜스포메이션 현상이 일어났는지 확인하였다. 둘째, 203명의 온라인 게임 사용자를 대상으로 설문을 실시하여 그들이 개방형 혁신 프로젝트에 참여할 경우 갖게 되는 동기에 대해 조사하였다. 그 결과, 동기에 대한 대부분의 가설들이 채택되었으며 필요 지식의 깊이에 따른 조절 효과 역시 있는 것으로 나타났다. 본 연구는 기존의 동기형성 연구가 주로 사용하던 내부, 외부 동기의 이분법을 확장하여 개방형 혁신 프로젝트가 갖는 사회적 영향력 측면을 강조함과 동시에 그 과정을 디지털 트랜스포메이션 관점에서 이해하였다는 점에서 그 의의가 있다.

• 한국항만경제학회지
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• 제39권3호
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• pp.155-178
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• 2023

본 연구의 목적은 항만 디지털 전환 수용성에 미치는 요인들을 도출하고, 항만 종사자들을 대상으로 설문을 통해 이러한 요인들이 디지털 전환의 수용성에 미치는 영향을 실증적으로 분석하는 것이다. 또한 이러한 요인들과 디지털 전환 수용성 간의 관계에 있어서 수용태도가 매개역할을 하는 지를 검정한다. 본 연구에서 사용된 변수는 다음과 같다. 개인 특성과 관련된 변수로 지식, 자기효능감, 관여도를 포함하였고, 혁신 특성과 관련된 변수로는 상대적 이점, 복잡성, 관찰 가능성을 포함하였으며, 그리고 환경 특성과 관련된 변수로는 정부 규제, 경쟁자 압박을 포함하여 총 8가지 잠재변수를 선택하였다. 이들 8가지 잠재변수와 디지털 전환 수용 태도의 인과관계를 구조방정식 모형을 통해 8가지 가설을 검정하였다. 또한 디지털 전환 수용 태도와 디지털 전환에 대한 개인적, 사회적 수용성과의 인과관계를 검정하기 위하여 2가지 가설을 설정하고 구조방정식 모형을 통해 검정하였다. 본 연구 결과를 요약하면 다음과 같다. 첫째, 개인 특성 중 자기효능감, 관여도 등 2가지 변수와 디지털 전환에 대한 태도는 정(+)의 인과관계를 확인할 수 있었지만, 지식은 애초 정(+)의 인과관계를 예상했으나 결과는 부(-)의 인과관계로 나타나서 해당 가설은 기각되었다. 둘째, 혁신 특성 중 복잡성은 디지털 전환 수용 태도에는 부(-)의 인과관계를 가지며, 상대적 이점과 기술 혁신성은 디지털 전환에 대한 태도에 정(+)의 인과관계로 나타났다. 마지막으로 환경 특성 중 정부 규제와 경쟁자 압박은 디지털 전환 수용 태도에 정(+)의 인과관계를 확인하였다. 또한 디지털 전환 수용 태도는 디지털 전환의 개인적 수용 및 사회적 수용에 정(+)의 인과관계를 갖는 것으로 나타났다.

• 한국수학교육학회지시리즈A:수학교육
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• 제52권4호
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• pp.567-586
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• 2013

The purpose of this study was to introduce the Knowledge Quartet (KQ) framework by which we can analyze teacher knowledge revealed in teaching mathematics. Specifically, this paper addressed how the KQ framework has been developed and employed in the context of research on teacher knowledge. In order to make the framework accessible, this paper analyzed an elementary school teacher's knowledge in teaching her fifth grade students how to figure out the area of a trapezoid using the four dimensions of the KQ (i.e., foundation, transformation, connection, and contingency). This paper is expected to provide mathematics educators with a basis of understanding the nature of teacher knowledge in teaching mathematics and to induce further detailed analyses of teacher knowledge using some dimensions of the KQ framework.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제14권4호
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• pp.323-332
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• 2010

It is the development of a mathematics teachers' teaching knowledge that manifests a mathematics teacher's professional knowledge growth. It is becoming a direct and effective approach of conversion of mathematical knowledge into the knowledge of mathematics teaching. Through the investigation, the study revealed that the knowledge conversion process of mathematics teachers in middle school is restricted by three aspects including eight factors. From this point, the authors have structured the path and model on influencing factors of middle school Mathematics Teaching Knowledge Conversion (MPCK), and discuss the mechanism of the transformation process.

• Journal of Korean Neurosurgical Society
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• 제57권3호
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• pp.211-214
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• 2015

Ganglioneuromas are benign tumors. Surgical excision is the treatment of choice with very good prognosis. However, neuroblastomatous malignant transformation of ganglioneuromas was previously reported. We report a patient with spinal neuroblastoma recurrent from a ganglioneuroblastoma after disease free survival of 13 years. This is one of the rare examples of spinal neuroblastoma and to our knowledge the second case report with malignant transformation from a ganglioneuroblastoma or a ganglioneuroma. The present case is the only report in the literature with further genetic investigations.