An inexpensive multi-channel AC heater control system

  • Dorthe L.
  • Kolodner P.

A commonly-encountered problem in the experimental modeling of thermal-management solutions is the need to independently power many sources of heat. A typical telecomm circuit pack, for example, may contain a dozen or more ICs or optical components, and we would like to test cooling solutions by replacing each IC with an independently-computer-controlled resistive heater. This could be accomplished using multiple DC power supplies, but this approach is overly precise, bulky, and, worst of all, expensive: at least several hundred dollars per channel. We have built a much more economical system, using triac-based AC lamp dimmer modules originally intended for hobby or household use. Controlled by an Arduino Due processor board and a Labview program, this approach costs less than $100 per channel.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...