2018 Portland International Conference on Management of Engineering and Technology (PICMET)最新文献_第5页

Assessment of Water Purification Technologies in Developing Countries 发展中国家水净化技术评价

2018 Portland International Conference on Management of Engineering and Technology (PICMET) Pub Date : 2018-08-01 DOI: 10.23919/PICMET.2018.8481981

Daniel J. Bradley, J. Vegh, Chung-Shing Lee, Renzhi Cao, Leong Chan

引用次数: 0

The Evolution of China's LED Industry from the View of Disruptive Technology Innovation 颠覆性技术创新视角下的中国LED产业演进

2018 Portland International Conference on Management of Engineering and Technology (PICMET) Pub Date : 2018-08-01 DOI: 10.23919/PICMET.2018.8481818

Xuanting Ye, Defang Yang, Jian Zhang, Yun Liu, Jingru Yin

引用次数: 1

Strategy in 3D Printing of Food 食品3D打印的策略

2018 Portland International Conference on Management of Engineering and Technology (PICMET) Pub Date : 2018-08-01 DOI: 10.23919/PICMET.2018.8481817

H. Steenhuis, Xin Fang, Tolga Ulusemre

引用次数: 2

Artificial Intelligence on Job-Hopping Forecasting: AI on Job-Hopping 关于跳槽预测的人工智能:关于跳槽的人工智能

2018 Portland International Conference on Management of Engineering and Technology (PICMET) Pub Date : 2018-08-01 DOI: 10.23919/PICMET.2018.8481823

Nathan Kosylo, John Smith, Matthew Conover, Leong Chan, Hongtao Zhang, Hanfei Mei, Renzhi Cao

{"title":"Artificial Intelligence on Job-Hopping Forecasting: AI on Job-Hopping","authors":"Nathan Kosylo, John Smith, Matthew Conover, Leong Chan, Hongtao Zhang, Hanfei Mei, Renzhi Cao","doi":"10.23919/PICMET.2018.8481823","DOIUrl":"https://doi.org/10.23919/PICMET.2018.8481823","url":null,"abstract":"Artificial Intelligence (AI) technologies have been successfully applied to many fields, such as object detection and speech recognition. Among these applications, few consider cases where some feature values are missing or unreliable, such as in the prediction of job-hopping patterns where many profiles are incomplete, even though these missing features may be important for businesses (e.g. human resources and management). In this paper, we propose a novel AI technology, Sequential Optimization of Naive Bayesian (SONB), which not only makes predictions, but also learns the underlying pattern and automatically estimates missing or unreliable feature values. We analyzed several important job-hopping features and applied it to predict job-hopping patterns on many incomplete profiles. Our experiment shows SONB accurately estimates missing values and achieves state-of-the-art performance. In addition, the accuracy of deep learning is improved by 3% on the new dataset generated by SONB over the raw data. In summary, we introduce a novel AI technology for forecasting, which could also be used to estimate missing values in the input data. It is applied to a large (20,185,365 employee profiles) dataset and successfully predicts job-hopping patterns for employees based on their profiles, which could be a valuable resource for businesses.","PeriodicalId":444748,"journal":{"name":"2018 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115162806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Cross-Level Effect of Team Paternalistic Leadership and Team Challenge Stressor on Employee's In-Role Performance 团队家长式领导与团队挑战压力源对员工角色内绩效的跨层次影响

2018 Portland International Conference on Management of Engineering and Technology (PICMET) Pub Date : 2018-08-01 DOI: 10.23919/PICMET.2018.8481806

Yang Qiu, Li Zhang, Eryue Teng, Taisi Lai

引用次数: 1

Ethical Confrontations at Mbloom Ventures LLC: Hawaii's First Early-Stage Technology Fund Mbloom Ventures LLC:夏威夷第一家早期科技基金的道德冲突

2018 Portland International Conference on Management of Engineering and Technology (PICMET) Pub Date : 2018-08-01 DOI: 10.23919/PICMET.2018.8481923

P. Ensign

引用次数: 0

Blockchain in Healthcare: A New Technology Benefit for Both Patients and Doctors 医疗领域的区块链:对患者和医生都有利的新技术

2018 Portland International Conference on Management of Engineering and Technology (PICMET) Pub Date : 2018-08-01 DOI: 10.23919/PICMET.2018.8481969

Tran Le Nguyen

{"title":"Blockchain in Healthcare: A New Technology Benefit for Both Patients and Doctors","authors":"Tran Le Nguyen","doi":"10.23919/PICMET.2018.8481969","DOIUrl":"https://doi.org/10.23919/PICMET.2018.8481969","url":null,"abstract":"With the underlying technology of Bitcoin or other crypto-currencies and its rapid growth nowadays, many places have begun accepting Bitcoin payments in hot debate. It is hardly to deny the emerging success of the creation Blockchain platform behind of Bitcoin in the field of mathematics, finance, banking, and healthcare. The paper aims to create a diagrammatic conceptual model of medical app using Blockchain technology to manage all database of patients and doctors when they have a surgery. The model is built based on the gap of previous models which are mostly using Blockchain in banking and finance sector. Focusing on the development of mission space conceptual models, this paper will continue to propose a simulation space conceptual models in current studies, especially in the context of very few models applied blockchain in healthcare. After creation of this model, an app on smartphone using Bitcoin in payment could be created to facilitate doctors' management of all their patients directly and effectively as well as helping patients have a good comparison of cost, procedure or preparation of pre and post-surgery. Hopefully this paper will contribute to the given field the conceptual model for medical stakeholders including researcher, public health authorities, etc. to participate in the network as Blockchain \"miners\", to synthesize anonymous data as mining rewards, in return for sustaining and securing the network via Proof of Work.","PeriodicalId":444748,"journal":{"name":"2018 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114207678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 26

Research for Reuse of Unused Patents by Analysis of Transferred Patents 基于转让专利分析的未使用专利再利用研究

2018 Portland International Conference on Management of Engineering and Technology (PICMET) Pub Date : 2018-08-01 DOI: 10.23919/PICMET.2018.8481867

Yosuke Towata, Yoshitoshi Tanaka

引用次数: 0

Data-driven Roadmapping Turning Challenges into Opportunities 数据驱动路线图化挑战为机遇

2018 Portland International Conference on Management of Engineering and Technology (PICMET) Pub Date : 2018-08-01 DOI: 10.23919/PICMET.2018.8481975

Ummaraporn Pora, N. Thawesaengskulthai, N. Gerdsri, Sipat Triukose

{"title":"Data-driven Roadmapping Turning Challenges into Opportunities","authors":"Ummaraporn Pora, N. Thawesaengskulthai, N. Gerdsri, Sipat Triukose","doi":"10.23919/PICMET.2018.8481975","DOIUrl":"https://doi.org/10.23919/PICMET.2018.8481975","url":null,"abstract":"A number of organizations are struggling with roadmap implementation. While some companies implement it successfully, many cannot effectively apply the roadmap to their strategic operations. Keeping an up-to-date roadmap to reflect changes in the business environment is considered a major challenge in the field. The main focus of this explorative study extends the understanding of roadmap implementation and addresses the opportunities and challenges for future research by illustrating four case studies from both the private and public sectors. Semi-structured interviews with top management were conducted to obtain common critical components. The findings from this study highlight and confirm the major challenges involved in keeping the roadmapping process alive, as represented in previous studies. The results of case studies reflect the challenges and opportunities with integrating big data and transforming existing processes into data-driven roadmapping. This paper proposes a conceptual design for a system to help keep the roadmap alive—accurately reflecting current economic and business conditions, based on insights constantly obtained from various streams of information sources. Comprehensive analyses of existing data could help to detect the ongoing changes and indicate economic, social, and technological tendencies. Supervised learning, unsupervised learning, time series, and text mining are suggested techniques for providing useful insight and substantial information from the multitude of data. This approach can be integrated into the decision support system, based on an algorithmic, semi-automatic evaluation of roadmap status.","PeriodicalId":444748,"journal":{"name":"2018 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115274101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A Study of the Factors Influencing Industry-Academia Collaboration Activities in Private Universities 民办高校产学研合作活动的影响因素研究

2018 Portland International Conference on Management of Engineering and Technology (PICMET) Pub Date : 2018-08-01 DOI: 10.23919/PICMET.2018.8481773

Y. Yamaguchi, J. Fujimoto, Akira Yamazaki, Takehiko Koshiyama

{"title":"A Study of the Factors Influencing Industry-Academia Collaboration Activities in Private Universities","authors":"Y. Yamaguchi, J. Fujimoto, Akira Yamazaki, Takehiko Koshiyama","doi":"10.23919/PICMET.2018.8481773","DOIUrl":"https://doi.org/10.23919/PICMET.2018.8481773","url":null,"abstract":"It is imperative that industry-academia collaboration activities are implemented successfully to achieve open innovation, and such awareness has grown in recent years. Private companies and universities are organizations with very different purposes and characteristics; it is therefore generally difficult for them to cooperate with each other. We focused on industry-academia collaboration activities and factors influencing them in private universities. This study aims to reveal which factors influence industry-academia collaboration activities in private universities and to what extent. Based on the case of Japanese private universities, the data on industry-academia collaboration activities and candidates for influencing factors of 136 private universities, including 62 private universities with engineering faculties, were collected, and individual and comprehensive relationships were analyzed. As a result, the positive factors influencing the 136 universities and 62 universities were identified as follows: number of graduate students, and number of research papers or amount for grants-in-aid for scientific research. On the other hand, the negative factor influencing the 62 universities was number of undergraduate students. Consequently, it is necessary to expand graduate schools, reinforce basic research, and increase the number of researchers corresponding to the number of undergraduate students. We hope these results are useful for considering university management and for planning policy measures.","PeriodicalId":444748,"journal":{"name":"2018 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122979993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3