The University of Tokyo · 경영학
Hajime Sasaki 교수의 연구실은 기술 예측, 지식 탐색 및 리스크 분석을 중심으로 한 지능형 데이터 기반 연구를 수행합니다. 특히 기술의 계층적 구조를 고려한 기술 융합 예측, 다중 분야 간의 과학적 연관성 분석, 그리고 비정형 문서에서의 리스크 요소 자동 식별 기술에 초점을 맞추고 있습니다. 기계학습, 네트워크 분석, 주제 모델링 등의 기법을 활용해 복잡한 기술 및 금융 정보의 패턴을 탐지하고 해석 가능한 예측 모델을 개발합니다. 특히 기술 발전의 조기 경고 및 기업 리스크 관리에 기여하는 실용적 응용을 지향합니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
As the relationships among technologies become more complex, technological convergence is occurring in many fields, resulting in technological spin-offs in which technologies born in an industry are used in unexpected fields. Predictions of these events, such as patent citation analysis and International Patent Classification's (IPC) association analysis, are used to propose a method. Previous studies have not taken into account the hierarchical structure of technologies. In this study, we propo
This paper discusses the solid-state circuit technology needed to integrate a multimedia complex on a chip and open up the multimedia world. The requisites for expansion of multimedia, the relation between digital signal processing and solid-state circuit technology, the outlook for the technology, a view of the multimedia complex in the future, and three design issues are discussed.
In fields with high science linkage, such as the nanocarbon field, trends in academic papers are particularly important for identifying future technological trends. The use of the number of citations allows us to predict the qualitative trends on a paper-by-paper basis. At the same time, it is necessary to be able to comprehensively discuss both qualitative and quantitative aspects in the subject area. This study aimed to detect emerging areas in the nanocarbon field using network models and top
While network centricity-based supplier recommendation models can make predictions with high accuracy, they do not sufficiently encompass supply chain causality, and their interpretability is controversial. We propose adding conditional probabilities from the Bayesian network to a supplier predictive model to improve interpretability while maintaining the performance of the social network approach. We construct a supplier forecasting model for 327,012 corporate transactions in the Northeast regi
The number of research papers related to solar cells field is increasing rapidly. It is hard to grasp research trends and to identify emerging research issues because of exponential growth of publications, and the field's subdivided knowledge structure. Machine learning techniques can be applied to the enormous amounts of data and subdivided research fields to identify emerging researches. This paper proposed a prediction model using a machine learning approach to identify emerging solar cells r
With the drastically changing business environment, it is difficult even for experts to properly extract and classify risk statements from securities reports, which contain large volumes and unstructured information. Several methods have been proposed, but the existing methods face difficulty in dealing with flexible risk expressions. This study presents an open-domain risk-analysis framework that combine the strengths of both humans and machines. They include defining appropriate business risks
Private sector hospitals are the main provider of mental health care in Japan. More than four-fifths of psychiatric beds are privately owned. Unlike Western countries, private sector hospitals in Japan serve all citizens enrolled in the universal public health insurance system. Private sector hospitals in Japan are only allowed to be nonprofit corporations. Mental health system is still inpatient oriented. Mental health professionals have recognized the importance of movements toward community m
An innovation model providing a solution for climate change and sustainable economic growth is required. In this scenario, renewable energy is one of the most promising technologies. Its research -requires a considerable amount of R&D expenditure and various core technologies. Therefore, international research collaboration is effective for prompt and efficient development. With countries and organizations contributing to the rapid growth of knowledge, the meta-structure of international researc
Hydropower has superior storage capacity and speedy response to meet sudden fluctuations in electricity demand. According to a recent estimate by International Energy Agency (IEA), its generation capacity could double by 2050. Nevertheless, no great picture of academic knowledge exists in relation to hydropower. This study was undertaken to reveal the academic landscape in this field by analysing the citation network of papers published in academic journals. We collected 7,521 target papers from
In the evolving business landscape, the scope of risk factors is extremely wide, making it impossible for all business-related risks to be captured within publicly available financial disclosures. Previous studies have predominantly focused on understanding causal relationships and risk chains based on the risks that are explicitly documented. Thus, risks that are not explicitly listed are often overlooked. The aim of this study was to analyze risk chains and extract implicit information from di
Climate change, pollution, and energy insecurity are among the greatest problems of our time. These problems are no longer issues in particular countries but international issues. Several framework conventions on these issues are now in place throughout the world, and developing countries are no exception. Energy efficiency is one of the important issues for developing countries. Lao PDR is one such country. This paper proposes a technology roadmap and policy recommendations for Lao PDR with con
Implementation of multimedia systems and services at reasonable cost depends largely on the progress of semiconductor technology. This paper addresses the perspective of the multimedia, and issues and approaches for the solution. Discussions are extended in three categories: high integration, high performance and low power consumption, and short time-to-market. Timely development of leading-edge enabling technologies in the diversified fields is highly required.
Science and technology activities can be considered problem-solving activities, and scientific papers and patent publications can be viewed as providing explicit knowledge gained from the problem-solving of academia and industry respectively. However, even in the same field, the approach to the same problem is not consistent between a paper and the patented technology. The creation of information silos in science and technology generates inefficiency in human intellectual production. Therefore,
Because of the rapid growth of energy demand in developing countries, policies for energy efficiency are receiving increasing attention. Although energy efficiency standards and labeling (EES&L) is a standard policy tool in many countries, some developing countries, such as Lao PDR, have not yet implemented them fully. In order to understand the potential impact of EES&L, this paper aims at collecting data that contribute to EES&L and at analysing appliance possessions in Vientiane C
While the significance of innovation is on the increase in society and economy, it is a pressing issue to understand the field of intellectual property rights (IPR) panoramically; however, almost no such meta-structure in theory has been introduced to this present day. The authors have analyzed academic papers in the IPR field to identify the areas and issues discussed in the field, and to present the latest research field in IPR. Specifically, we recognized the meta-structure of academic resear