IRNov 17, 2019
Voice Search and Typed Search Performance Comparison on Baidu Search SystemHanqing Huang, Kezia Irene, Nahyun Ryu
Although the voice search system is getting more and more developed, some people still have difficulties when searching for information with the voice search system. This paper is a pilot study to compare the search performance of people using voice search and typed search using Baidu search system. We surveyed and interviewed 40 Chinese students who have been using the Baidu search system. Afterward, we analyzed 8 people who had a middle to advanced searching ability by their behaviors, search results, and average query length. We found that there are a lot of variations among the participants' time when searching for different queries, and there were some interesting behaviors that were displayed by a number of participants. We conclude that more participants are needed to make a firm conclusion on the performance comparison between the voice search and typed search.
QMNov 14, 2019
Fetal Head and Abdomen Measurement Using Convolutional Neural Network, Hough Transform, and Difference of Gaussian Revolved along Elliptical Path (Dogell) AlgorithmKezia Irene, Aditya Yudha P., Harlan Haidi et al.
The number of fetal-neonatal death in Indonesia is still high compared to developed countries. This is caused by the absence of maternal monitoring during pregnancy. This paper presents an automated measurement for fetal head circumference (HC) and abdominal circumference (AC) from the ultrasonography (USG) image. This automated measurement is beneficial to detect early fetal abnormalities during the pregnancy period. We used the convolutional neural network (CNN) method, to preprocess the USG data. After that, we approximate the head and abdominal circumference using the Hough transform algorithm and the difference of Gaussian Revolved along Elliptical Path (Dogell) Algorithm. We used the data set from national hospitals in Indonesia and for the accuracy measurement, we compared our results to the annotated images measured by professional obstetricians. The result shows that by using CNN, we reduced errors caused by a noisy image. We found that the Dogell algorithm performs better than the Hough transform algorithm in both time and accuracy. This is the first HC and AC approximation that used the CNN method to preprocess the data.