How real is real enough? Participant feedback on a behavioral simulation used for information-seeking behavior research

A challenge of studying information-seeking behavior in open web systems is the unpredictability of those systems. One solution to counteract this issue is employing a simulation to ensure experimental control. However, concerns arise over the realism of such an environment. This paper assesses the realism of a behavioral simulation used to study the evaluation behavior of 175 students from fourth grade through graduate school. We assess realism through the examination of targeted participant feedback about what would have made the simulated environment and tasks more realistic to these participants. Based on this feedback, we reflect on decisions made in designing the simulation and offer recommendations for future studies interested in incorporating behavioral simulation in their research design. We find that a thoughtfully designed simulation can elicit naturalistic behavior when the controlled environment is designed to be realistic in meaningful ways. Because the simulation does not have to perfectly match reality to elicit these behaviors, designing a simulation that is real enough is an effective method to study information-seeking behavior.

Analysis of Techniques for On-Line Secondary Path Modeling in ANC Systems

The on-line secondary path modeling of an ANC systems is the most relevant issue. Currently there are algorithms to obtain fast convergence, adequate stability and minimum error. In this article, the properties of these algorithms are analyzed, as well as the architectures for their possible implementation in hardware. The performance comparison is carried out with behavioral simulation, and its suitability for active noise cancellation is evaluated. Based on the results of the analysis, a new algorithm is proposed, suitable for its implementation in hardware. The results obtained present an attenuation of the order of -31dB, which is the highest attenuation reported so far

Development of advanced automated test equipment for digital system by using FPGA

One of the fundamental devices in electronics, Integrated Circuit (IC), is usually applied in more complex devices. Before the IC is used, it has to pass some tests to guarantee that its function is in accordance with the specifications. Automated Test Equipment (ATE) is used to test many electronics devices, including ICs. Nowadays, with the rapid advance in electronics technology, the industry will need more advanced ATE to fulfill customers demand. One of the applicative solutions is improvement and integration of a standalone module in commercial ATE owned by the company. ASL 1000 Test System is one of the ATE that is still widely used in industry. ASL 1000 has one limitation in one of its module, Digital Driver and Detector (DDD). The limitation is how much vector pattern that can be saved in the memory. Based on the observation in DDD instrument, a standalone module that has similar specifications as DDD can be designed using Field Programmable Gate Array (FPGA) as its base component. In the standalone module plan, supporting circuits are used, these are interface circuit between FPGA and PC using RS-232 and ASIC as ATE drivers or comparators to connect FPGA and device under test (DUT). The result of the study shows that the designed module can receive and send 8-bit data at 19.200 baud rate. It can write and read 16-bit data from and to SDR SDRAM within 90 ns and 80 ns for one cycle. It can control DAC type AD5308 in standalone operation and DAC type AD5676 in daisy chain operation to generate specific voltage in specific channel. In behavioral simulation, main controller module has already worked in accordance with the desired specifications.