Building a Document Corpus for Manufacturing Knowledge Retrieval

When faced with challenging technical problems, R&D personnel would often turn to technical papers to seek inspiration for a solution. The building of a corpus of such papers and the easy retrieval of relevant papers by the user in his query is an area that has not been systematically dealt with. This is an attempt to build such a corpus for manufacturing R&D personnel. Manufacturing Corpus Version 1 (MCV1) is an archive of more than 1400 relevant manufacturing engineering papers between 1998 and 2000. In this paper, the origins and motivation of building MCV1 is discussed. The innovative coding process which is specially designed for manufacturing companies will be presented. All other relevant issues, like coding policy, category codes and input documents, will be explained. Finally, two quality indicators which integrate all concerns about coding quality will be examined.Singapore-MIT Alliance (SMA

Global disease monitoring and forecasting with Wikipedia

Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring to measure the risk and progress of disease. Traditional, biologically-focused monitoring techniques are accurate but costly and slow; in response, new techniques based on social internet data such as social media and search queries are emerging. These efforts are promising, but important challenges in the areas of scientific peer review, breadth of diseases and countries, and forecasting hamper their operational usefulness. We examine a freely available, open data source for this use: access logs from the online encyclopedia Wikipedia. Using linear models, language as a proxy for location, and a systematic yet simple article selection procedure, we tested 14 location-disease combinations and demonstrate that these data feasibly support an approach that overcomes these challenges. Specifically, our proof-of-concept yields models with $r^2$ up to 0.92, forecasting value up to the 28 days tested, and several pairs of models similar enough to suggest that transferring models from one location to another without re-training is feasible. Based on these preliminary results, we close with a research agenda designed to overcome these challenges and produce a disease monitoring and forecasting system that is significantly more effective, robust, and globally comprehensive than the current state of the art.Comment: 27 pages; 4 figures; 4 tables. Version 2: Cite McIver & Brownstein and adjust novelty claims accordingly; revise title; various revisions for clarit

The economics of Information Technologies Standards &

This research investigates the problem of Information Technologies Standards or Recommendations from an economical point of view. In our competitive economy, most enterprises adopted standardization’s processes, following recommendations of specialized Organisations such as ISO (International Organisation for Standardization), W3C (World Wide Web Consortium) and ISOC (Internet Society) in order to reassure their customers. But with the development of new and open internet standards, different enterprises from the same sector fields, decided to develop their own IT standards for their activities. So we will hypothesis that the development of a professional IT standard required a network of enterprises but also a financial support, a particular organizational form and a precise activity to describe. In order to demonstrate this hypothesis and understand how professional organise themselves for developing and financing IT standards, we will take the Financial IT Standards as an example. So after a short and general presentation of IT Standards for the financial market, based on XML technologies, we will describe how professional IT standards could be created (nearly 10 professional norms or recommendations appear in the beginning of this century). We will see why these standards are developed outside the classical circles of standardisation organisations, and what could be the “key factors of success” for the best IT standards in Finance. We will use a descriptive and analytical method, in order to evaluate the financial support and to understand these actors’ strategies and the various economical models described behind. Then, we will understand why and how these standards have emerged and been developed. We will conclude this paper with a prospective view on future development of standards and recommendations.information technologies, financial standards, development of standards, evaluation of the economical costs of standards

Machine learning methods for systemic risk analysis in financial sectors.

Financial systemic risk is an important issue in economics and financial systems. Trying to detect and respond to systemic risk with growing amounts of data produced in financial markets and systems, a lot of researchers have increasingly employed machine learning methods. Machine learning methods study the mechanisms of outbreak and contagion of systemic risk in the financial network and improve the current regulation of the financial market and industry. In this paper, we survey existing researches and methodologies on assessment and measurement of financial systemic risk combined with machine learning technologies, including big data analysis, network analysis and sentiment analysis, etc. In addition, we identify future challenges, and suggest further research topics. The main purpose of this paper is to introduce current researches on financial systemic risk with machine learning methods and to propose directions for future work.This research has been partially supported by grants from the National Natural Science Foundation of China (#U1811462, #71874023, #71771037, #71725001, and #71433001)

Current Accounting Issues and Risks for Financial Management and Reporting–2012 /13; Financial Reporting Alert

https://egrove.olemiss.edu/aicpa_indev/2224/thumbnail.jp

An architectural framework for self-configuration and self-improvement at runtime

[no abstract

Application of remote sensing to selected problems within the state of California

There are no author-identified significant results in this report