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publications

Development of low cost radiated emission measurement system

Published in Microwave and Millimeter Wave Technology (ICMMT), International Conference on, 2010

A novel low cost radiated emission measurement system by using current probe has been proposed in this paper. Compared with conventional anechoic chamber measurement method, this new method could reduce test cost and save developing time efficiently. In order to improve the accuracy, a transfer function has been built for mapping the relationship between current probe method and anechoic chamber method. By using the interpolation, the final estimated radiation emission has been validated and agreed well with the experimental results in anechoic chamber.

Recommended citation: Huang, Zihong, Wenhua Chen, Zhenghe Feng, K. Toyama, and K. Teshima. "Development of low cost radiated emission measurement system." In Microwave and Millimeter Wave Technology (ICMMT), 2010 International Conference on, pp. 1829-1832. IEEE, 2010. [Download paper here]

Development of low cost measurement system for radiated emission evaluation

Published in Progress In Electromagnetics Research Letters, 2011

In this paper, a low cost measurement system with high accuracy for radiated emission evaluation has been proposed. By combining the test data of the current probe at different positions on the harness, the measurement accuracy is improved compared with conventional single probe method. For the sake of high accuracy, a transfer function is built to map the relationship between anechoic chamber method and current probe method. Based on experiments for evaluation, the final estimation of radiated emission agrees well with the measured results in anechoic chamber. For the cases tested, the difference between the current probe method and the anechoic chamber method is less than 3 dB.

Recommended citation: Huang, Zihong, Wenhua Chen, Zhenghe Feng, Kazunori Teshima, and Koji Toyama. "Development of low cost measurement system for radiated emission evaluation." Progress In Electromagnetics Research Letters 20 (2011): 55-68. [Download paper here]

Forward behavioral modeling of concurrent dual-band power amplifiers using extended real valued time delay neural networks

Published in Microwave and Millimeter Wave Technology (ICMMT), International Conference on, 2012

The distortions induced by inter-modulations and cross-modulations in concurrent dual-band power amplifiers (PAs) are evidenced and characterized using multi-tone signals. Given the presence of cross-modulations, a comprehensive extended real-valued time-delay neural network (extended-RVTDNN) is proposed to model the nonlinear behavior of concurrent dual-band Pas. Two three-carrier WCDMA signals are applied to a dual-band Doherty PA prototype for modeling verification. The experimental results show that the proposed model approximates the PA with normalized mean square errors (NMSEs) of -38.48dB and -35.42dB in the lower and upper bands, respectively. Compared with the conventional single-band RVTDNN, this new method achieves an improvement in accuracy of more than 10dB.

Recommended citation: Huang, Zihong, Wenhua Chen, Zhenghe Feng, and Fadhel M. Ghannouchi. "Forward behavioral modeling of concurrent dual-band power amplifiers using extended real valued time delay neural networks." In Microwave and Millimeter Wave Technology (ICMMT), 2012 International Conference on, vol. 5, pp. 1-4. IEEE, 2012. [Download paper here]

Precision CrowdSourcing: Closing the Loop to Turn Information Consumers into Information Contributors

Published in Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), 2016

We introduce a theoretical framework called precision crowdsourcing whose goal is to help turn online information consumers into information contributors. The framework looks at the timing and nature of the requests made of users and the feedback provided to users with the goal of increasing long-term contribution and engagement in the site or system. We present the results of a field experiment in which almost 3000 users were asked to tag movies (plus a null control group) as we varied the selection of task (popular/obscure), timing of requests (immediate or varying delays), and relational rhetoric (neutral, system reciprocal, other users reciprocal) of the requests. We found that asking increases tags provided overall, though asking generally decreases the provision of unprompted tags. Users were more likely to comply with our request when we asked them to tag obscure movies and when we used reciprocal request rhetoric.

Recommended citation: Zhao, Qian, Zihong Huang, F. Maxwell F. Harper, Loren G. Terveen, and Joseph A. Konstan. "Precision CrowdSourcing: Closing the Loop to Turn Information Consumers into Information Contributors." In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, pp. 1613-1623. ACM, 2016. [Download paper here]

Pure and Hybrid Crowds in Crowdfunding Markets

Published in Financial Innovation, 2016

This study documents and compares two crowd designs for crowdfunding, namely pure crowds, where all crowd members participate as equals, and hybrid crowds, where crowd members are led by an expert investor. The hybrid design is rarely studied in the crowdfunding literature despite its large presence in equity crowdfunding. We examine industry practices from various countries in terms of crowd designs, review relevant literature on this topic, and develop a conceptual framework for choosing between pure and hybrid crowds. We identify several inefficiencies of pure crowds in crowdfunding platforms and discuss the advantages of hybrid crowds. We then develop a conceptual framework that illustrates the factors for choosing between pure and hybrid crowds. Finally, we discuss the issue of how to manage and regulate lead investors in hybrid crowds. Our study contributes to the crowdfunding literature and to crowdfunding practice in multiple ways.

Recommended citation: Chen, Liang, Zihong Huang, and De Liu. "Pure and hybrid crowds in crowdfunding markets." Financial Innovation 2.1 (2016): 19. [Download paper here]

talks

teaching

Descriptive and Predictive Analytics (Fall 2018, Spring 2020)

IDSC 4444, Carlson School of Management, University of Minnesota, 2018

In a world of ever growing information sources, any student of business should be equipped with the ability to analyze data to produce actionable insights. Equally important is the capacity to understand such analysis and to present it to key stakeholders. IDSc 4444 offers an introduction to basics of data manipulation, visualization and analysis for business intelligence.

Information Technologies and Solutions (Fall 2018)

IDSC 6050, Carlson School of Management, University of Minnesota, 2018

This course is about current/emerging technologies that are used in modern net-enhanced organizations. Topics covered will include mobile communications, information security, cloud computing, blockchains, and emerging IT trends.

Exploratory Data Analytics and Visualization (Fall 2019)

MSBA 6410, Carlson School of Management, University of Minnesota, 2019

MSBA 6410 is a required course for the M.S. in Business Analytics program. This course is designed to prepare aspiring data scientists for the rapidly changing digital environment faced by companies and their need to discover novel and actionable patterns, enabling data-driven decision making.

Interactive Data Visualization for Business Analytics (Spring 2020)

IDSC 4210, Carlson School of Management, University of Minnesota, 2020

IDSC 4210 is an elective course for the undergraduate Business Analytics minor at the Carlson School of Management. It focuses on the fundamental and widely used exploratory data analysis technique of interactive visualization that is integral to modern business analytics.