A Lean-Server Approach to Enabling Collaboration Using Advanced Design Methods

1999 ◽  
Author(s):  
Mark A. Hale ◽  
James I. Craig ◽  
Dimitri N. Mavris
Keyword(s):  
Collaborative Design ◽  
Research Direction ◽  
Design Methods ◽  
Future Research ◽  
The Internet ◽  
Prototype System ◽  
Design Framework ◽  
Server Side ◽  
Novel Approach ◽  
Compliant Layer

Abstract The design framework research community utilizes the internet as a facilitator for collaborative activities. The internet provides a platform independent interface and geographic distribution. Information can be easily represented to the end-user using the HyperText Markup Language and can be coded in a reasonable timeframe. A shortcoming of exploiting this technology further is the reliance on existing Web servers to interface with analysis tools and design services. In this case, interactive components require auxiliary processes (called CGI scripts) to be started by the server that are used in an inefficient manner. This model does not provide the user-oriented capability required by standalone applications. Java offers improvements in client-side processing but a server bottleneck still exists. A novel approach using lean-servers is introduced as an alternative method for providing an efficient server-side computing model. In this case, internet requests are brokered directly by the design application by providing a gateway to the application’s programming interface using a HyperText Transfer Protocol compliant layer. This allows requests to be managed directly by the application rather than requiring auxiliary services. Step-by-step directions for implementing this approach using a case study of an existing design framework are given in this paper. A prototype system, called the Systems Programming Architecture for Collaborative Engineering, is described as one scenario for implementing the lean-server technology. Usability of the approach is demonstrated through a Design of Experiments example that is representative of modern design methods. This example also demonstrates collaboration because it executes asynchronously with multi-user intervention at any time during the process. In hindsight, the lean-server approach is an enabling technology for collaborative design and focuses future research direction on the establishment of collaborative design practices.

scholarly journals A New Model Averaging Approach in Predicting Credit Risk Default

Risks ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 114
Author(s):  
Paritosh Navinchandra Jha ◽  
Marco Cucculelli
Keyword(s):  
Machine Learning ◽  
Credit Risk ◽  
Model Averaging ◽  
Research Direction ◽  
Future Research ◽  
Classification Problems ◽  
Average Technique ◽  
Model Average ◽  
Novel Approach ◽  
Unbalanced Dataset

The paper introduces a novel approach to ensemble modeling as a weighted model average technique. The proposed idea is prudent, simple to understand, and easy to implement compared to the Bayesian and frequentist approach. The paper provides both theoretical and empirical contributions for assessing credit risk (probability of default) effectively in a new way by creating an ensemble model as a weighted linear combination of machine learning models. The idea can be generalized to any classification problems in other domains where ensemble-type modeling is a subject of interest and is not limited to an unbalanced dataset or credit risk assessment. The results suggest a better forecasting performance compared to the single best well-known machine learning of parametric, non-parametric, and other ensemble models. The scope of our approach can be extended to any further improvement in estimating weights differently that may be beneficial to enhance the performance of the model average as a future research direction.

A Context-Based Approach to Engineering Design Negotiation

2005 ◽  
Author(s):  
Mathieu Geslin ◽  
Yan Jin
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Collaborative Design ◽  
Large Scale ◽  
Research Direction ◽  
Distributed Artificial Intelligence ◽  
Future Research ◽  
Design Decision ◽  
Context Model ◽  
Engineering Design Problems

Complex and large-scale engineering design problems require a collaborative approach in order to be completed in a timely manner. Designers involved in such work are making collaborative design decision, and often have to negotiate to address intricate problems and resolve their discrepancies while exploring the design space, generating new ideas and compromising for agreement. Advances in negotiation research have been made in social psychology, distributed artificial intelligence, and decision theory, but few have been applied to design. We advocate that design context information is of paramount importance in the decision-making process. In this paper, an argumentation-based negotiation model is introduced to support collaborative design decision-making. This model relies on clear design context model, argument model, negotiation protocol and strategies. In this paper, we successively detail each of these components and conclude with a discussion on a real-world case example and our future research direction.

ECONOMIC GROWTH ANALYSIS: A STUDY ON MALAYSIAN MARKET

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Suhaily Maizan Abdul Manaf ◽  
Shuhada Mohamed Hamidi ◽  
Nur Shafini Mohd Said ◽  
Siti Rapidah Omar Ali ◽  
Nur Dalila Adenan
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Inflation Rate ◽  
Government Expenditure ◽  
Correlation Method ◽  
Research Direction ◽  
Least Square ◽  
Future Research ◽  
Internal And External Factors

Economic performance of a country is mostly determined by the growth and any other internal and external factors. In this study, researchers purposely focused on Malaysian market by examining the relationship between export, inflation rate, government expenditure and foreign direct investment towards economic growth in Malaysia by applying the yearly data of 47 years from 1970 to 2016 using descriptive statistics, regression model and correlation method analysis. By applying Ordinary Least Square (OLS) method, the result suggests that export, government expenditure and foreign direct investment are positively and significantly correlated with the economic growth. However, inflation rate has negative and insignificant relationship with the economic growth. The outcome of the study is suggested to be useful in providing the future research direction towards the economic growth in Malaysia. Keywords: economic growth; export; inflation rate; government expenditure

Reaching Spanish-Speakers in Self-Administered Surveys

2019 ◽  
Vol 3 (4) ◽  
Author(s):  
J Michael Brick ◽  
Andrew Caporaso ◽  
Douglas Williams ◽  
David Cantor
Keyword(s):  
Single Phase ◽  
Spanish Language ◽  
Spanish Speakers ◽  
English Speakers ◽  
Future Research ◽  
The Internet ◽  
English Only ◽  
Eligible Population ◽  
The Us ◽  
Survey Estimates

Decisions on public policy can be affected if important segments of the population are systematically excluded from the data used to drive the decisions. In the US, Spanishspeakers make up an important subgroup that surveys conducted in English-only underrepresent. This subgroup differs in a variety of characteristics and they are less likely to respond to surveys in English-only. These factors lead to nonresponse biases that are problematic for survey estimates. For surveys conducted by mail, one solution is to include both English and Spanish materials in the survey package. For addresses in the US where Spanish-speakers are likely to be living, this approach is effective, but it still may omit some non-English-speakers. Traditionally, including both English and Spanish materials for addresses not identified as likely to have Spanish-speakers was considered problematic due to concerns of a backlash effect. The backlash effect is that predominantly English-speakers might respond at a lower rate because of the inclusion of Spanish materials. Prior research found no evidence of a backlash, but used a twophase approach with a short screener questionnaire to identify the eligible population for an education survey. In this paper, we report on experiments in two surveys that extend the previous research to criminal victimization and health communication single-phase surveys. These experiments test the effect of the inclusion of Spanish language materials for addresses not identified as likely to have Spanish-speakers. Our findings confirm most results of the previous research; however we find no substantial increase in Spanish-only participation when the materials are offered in both languages for addresses that are not likely to have Spanish-speakers. We offer some thoughts on these results and directions for future research, especially with respect to collecting data by the Internet.

Co-Enzyme Q10 to Treat Neurological Disorders: Basic Mechanisms, Clinical Outcomes, and Future Research Direction

2013 ◽  
Vol 12 (5) ◽  
pp. 641-664 ◽  
Author(s):  
Mohamed Salama ◽  
Ti-Fei Yuan ◽  
Sergio Machado ◽  
Eric Murillo-Rodriguez ◽  
Jose Vega ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Neurological Disorders ◽  
Research Direction ◽  
Future Research ◽  
Future Research Direction

Citizen Deliberation Online

2019 ◽  
pp. 689-712
Author(s):  
Patrícia Rossini ◽  
Jennifer Stromer-Galley
Keyword(s):  
Political Engagement ◽  
Future Research ◽  
The Internet ◽  
Digital Platforms ◽  
The Core ◽  
Political Conversation ◽  
Political Talk ◽  
Citizen Deliberation ◽  
The Impact

Political conversation is at the heart of democratic societies, and it is an important precursor of political engagement. As society has become intertwined with the communication infrastructure of the Internet, we need to understand its uses and the implications of those uses for democracy. This chapter provides an overview of the core topics of scholarly concern around online citizen deliberation, focusing on three key areas of research: the standards of quality of communication and the normative stance on citizen deliberation online; the impact and importance of digital platforms in structuring political talk; and the differences between formal and informal political talk spaces. After providing a critical review of these three major areas of research, we outline directions for future research on online citizen deliberation.

scholarly journals Integrating Theory in Co-design: An Abductive Approach

2021 ◽  
Vol 29 (1) ◽  
pp. 66-77
Author(s):  
Erin Hurley ◽  
Timo Dietrich ◽  
Sharyn Rundle-Thiele
Keyword(s):  
Social Cognitive Theory ◽  
Design Process ◽  
Social Marketing ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Expert Knowledge ◽  
Future Research ◽  
Abductive Inference ◽  
Design Framework ◽  
Research Recommendations

Co-design empowers people, giving them a voice in social marketing program design; however, approaches have mostly excluded expert knowledge. An abductive approach to co-design allows for inclusion of expert knowledge, providing theoretical guidance while simultaneously investigating user views and ideas extending understanding beyond known effective approaches. We use the seven-step co-design framework and outline how an abductive inference can be applied to co-design. Social cognitive theory constructs were integrated into the seven-step co-design process. The abductive approach to co-design was tested in two co-design sessions involving 40 participants. Findings demonstrate that theory can be successfully integrated into the seven-step co-design process through utilization of theory-mapped activity cards. This article provides guidance on how theory can be incorporated into ideation and insight generation. Limitations and future research recommendations are provided.

scholarly journals Structural and Functional Remodeling of Mitochondria in Cardiac Diseases

2021 ◽  
Vol 22 (8) ◽  
pp. 4167
Author(s):  
Xiaonan Sun ◽  
Jalen Alford ◽  
Hongyu Qiu
Keyword(s):  
Regulatory Network ◽  
Molecular Basis ◽  
Therapeutic Potential ◽  
Research Direction ◽  
Future Research ◽  
Cardiac Diseases ◽  
Functional Remodeling ◽  
Underlying Mechanisms ◽  
Mitochondrial Remodeling ◽  
Normal Cellular Function

Mitochondria undergo structural and functional remodeling to meet the cell demand in response to the intracellular and extracellular stimulations, playing an essential role in maintaining normal cellular function. Merging evidence demonstrated that dysregulation of mitochondrial remodeling is a fundamental driving force of complex human diseases, highlighting its crucial pathophysiological roles and therapeutic potential. In this review, we outlined the progress of the molecular basis of mitochondrial structural and functional remodeling and their regulatory network. In particular, we summarized the latest evidence of the fundamental association of impaired mitochondrial remodeling in developing diverse cardiac diseases and the underlying mechanisms. We also explored the therapeutic potential related to mitochondrial remodeling and future research direction. This updated information would improve our knowledge of mitochondrial biology and cardiac diseases’ pathogenesis, which would inspire new potential strategies for treating these diseases by targeting mitochondria remodeling.

scholarly journals Federated Quantum Machine Learning

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 460
Author(s):  
Samuel Yen-Chi Chen ◽  
Shinjae Yoo
Keyword(s):  
Machine Learning ◽  
Data Privacy ◽  
Research Direction ◽  
Future Research ◽  
Quantum Computers ◽  
Training Time ◽  
Quantum Neural Network ◽  
Distributed Training ◽  
Machine Learning Model ◽  
Quantum Machine Learning

Distributed training across several quantum computers could significantly improve the training time and if we could share the learned model, not the data, it could potentially improve the data privacy as the training would happen where the data is located. One of the potential schemes to achieve this property is the federated learning (FL), which consists of several clients or local nodes learning on their own data and a central node to aggregate the models collected from those local nodes. However, to the best of our knowledge, no work has been done in quantum machine learning (QML) in federation setting yet. In this work, we present the federated training on hybrid quantum-classical machine learning models although our framework could be generalized to pure quantum machine learning model. Specifically, we consider the quantum neural network (QNN) coupled with classical pre-trained convolutional model. Our distributed federated learning scheme demonstrated almost the same level of trained model accuracies and yet significantly faster distributed training. It demonstrates a promising future research direction for scaling and privacy aspects.

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