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신승준,서범석 한국통계학회 2024 응용통계연구 Vol.37 No.1
최근 코로나19 등으로 경제 불확실성이 확대됨에 따라 민간 경제주체의 경제상황을 직접적으로 반영하는 민간소비 동향을 신속히 파악할 필요성이 높아지고 있다. 이에 본 연구는 기존 거시경제지표 뿐만 아니라 빅데이터를 종합적으로 활용하여 민간소비를 실시간으로 추정(nowcasting)하는 방법을 제안하였다. 특히 초고차원 빅데이터의 적합을 위해 활용 가능한 다양한 기계학습 방법론을 비교분석하여 민간소비 추정의 정확도를 향상시키고자 하였다. 실증 분석 결과, 빅데이터를 비롯한 가용 공변량의 수가 많은 경우에는 변수를 미리 선별하여 모형적합에 활용하는 것이 민간소비 예측 성능을 향상시킬 수 있음을 확인하였다. 또한 코로나19 이후 빅데이터의 반영이 민간소비 예측 성능을 더욱 크게 향상시킴에 따라 경제 불확실성이 높은 상황일수록 새로운 정보를 적시에 반영할 수 있는 고빈도 빅데이터의 활용가치가 높은 것으로 판단된다. As economic uncertainties have increased recently due to COVID-19, there is a growing need to quickly grasp private consumption trends that directly reflect the economic situation of private economic entities. This study proposes a method of estimating private consumption in real-time by comprehensively utilizing big data as well as existing macroeconomic indicators. In particular, it is intended to improve the accuracy of private consumption estimation by comparing and analyzing various machine learning methods that are capable of fitting ultra-high-dimensional big data. As a result of the empirical analysis, it has been demonstrated that when the number of covariates including big data is large, variables can be selected in advance and used for model fit to improve private consumption prediction performance. In addition, as the inclusion of big data greatly improves the predictive performance of private consumption after COVID-19, the benefit of big data that reflects new information in a timely manner has been shown to increase when economic uncertainty is high.
신승준,박동하 대한성형외과학회 2006 Archives of Plastic Surgery Vol.33 No.4
Purpose: The cutaneous squamous cell carcinoma is the second most common skin malignancy. It is noted that keratoacanthoma is difficult to differentiate from squamous cell carcinoma, clinically or historically. It is still a hypothetical question whether keratoacanthoma is a pseudomalignancy or a form of squamous cell carcinoma. Methods: We report the case of squamous cell carcinoma around left ala of nose in a 64-year-old female patient. Through an incisional biopsy, the mass was found to be keratoacanthoma in the pathologic report. An excisional biopsy was performed. Results: Pathologic report notified that it was found well-differentiated squamous cell carcinoma arising in keratoacanthoma with focal involvement of deep resection margin. Wide excision was made with 0.5-1.5cm margin and immediate reconstruction was performed. Conclusion: The relationship between keratoacanthoma and squamous cell carcinoma has been debated in the treatment. It is still controversial whether to excise it or not. We concluded that kerathoacanthoma must be removed completely.
상호운용적 스마트 공장을 위한 PMMLㆍPFA와 자산관리쉘 통합 방법
신승준,이주홍,박정민,엄주명 대한산업공학회 2021 대한산업공학회지 Vol.47 No.3
The present work proposes a method to integrate Predictive Model Markup Language (PMML) and Portable Format for Analytics (PFA) with Asset Administration Shell (AAS) for interoperable smart factories. This method enables the exchange and sharing of data analytics models across heterogeneous manufacturing assets through their deployment into AAS, which specifies a unified and standardized format to represent digital models, data and technical functionalities of physical assets. This article includes : the conceptual model and process, information structure and system architecture for creating and deploying PMML and PFA-based data analytics models into AAS. This article also includes a prototype implementation. In the prototype, a server creates regression and neural network-driven energy prediction models for a production machine, represents the models based on the PMML and PFA schema, generates and responds to an AAS instance with its submodels embedding such PMML and PFA models; meanwhile, a client requests and receives the AAS instance on a web environment.