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Bayard Kohlhepp
Nexus Technologies Inc
Fletcher, North Carolina
 

Bayard Kohlhepp received a BS degree in computer science from Millersville University, Millersville, PA, in 1981. He spent the next 20-plus years designing software, managing project teams, teaching Unix and C programming, and running data centers. Most of his time was spent creating distributed real-time embedded (DRE) systems. He culminated his "geek" career as VP of R&D for a point-of-sale hardware manufacturer, and then traded science for art to pursue new creative paths.

Bayard now resides in the Blue Ridge Mountains of North Carolina where he works as a professional photographer, music producer, video editor, and high school math and science teacher.

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Read our Q&A with Bayard Kohlhepp here.


     

A novel stock recommendation system using Guba sentiment analysis
Sun Y., Fang M., Wang X.  Personal and Ubiquitous Computing 22(3): 575-587, 2018. Type: Article

It’s pretty obvious that if you know what investors are thinking, you can predict what stocks they’ll buy and sell. Stock scams have operated for years on the complement of this thought, that is, attempt to change investors’ opin...

 

Chatbots and the new world of HCI
Følstad A., Brandtzæg P.  interactions 24(4): 38-42, 2017. Type: Article

Most research literature falls into two camps: original research findings or surveys. This article fits neither profile, and is instead a puff piece more suitable to People magazine than ACM interactions....

 

Data science: a comprehensive overview
Cao L.  ACM Computing Surveys 50(3): 1-42, 2017. Type: Article, Reviews: (2 of 2)

I’ve been reviewing computing literature for almost two decades, have submitted over 100 reviews, and the survey format used by this paper is very common. However, at 42 pages, this is the largest survey I ever remember reading. Given how mu...

 

A general architecture for robotics systems: a perception-based approach to artificial life
Young R.  Artificial Life 23(2): 236-286, 2017. Type: Article

“Conventional views of intelligence and behavior are fundamentally flawed.” That is the inflection point that motivates this paper. Most robotic systems depend on a digitized model of their environment that they can use to reason about...

 

Mobile sensors and context-aware computing
Gajjar M.,  Morgan Kaufmann Publishers Inc., San Francisco, CA, 2017. 356 pp. Type: Book (978-0-128016-60-2)

I am disappointed in this book. I’m an engineer designing distributed Internet of Things (IoT) systems as well as a part-time college instructor, and I was hoping for a future-oriented discussion of the evolution of contextual computing. Whi...

 
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