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For the requisite of verifying the MIKME advanced microphone during serial production, an automated test system for hardware testing was developed. The system, that comprises a specially designed test fixture — bed-of-nails, the PXI instrumentation and a LabVIEW application, is presented in the paper with all of its features related to the MIKME product. The proposed solution is up to 20 times faster,...
Eddy Current Testing (ECT) is a fast and effective method for detecting and sizing most of the default in conducting materials. The size estimation of an unknown defect from the measurement of the impedance variations is an important technique in industrial area. This paper considers to solve this problem by the novel combination of the Least Square Support Vector Machines (LS-SVM) and Finite Element...
Subjective quality assessment is an essential component of modern image and video processing for both the validation of objective metrics and the comparison of coding methods. However, the standard procedures used to collect data can be prohibitively time consuming. One way of increasing the efficiency of data collection is to reduce the duration of test sequences from a 10-s length currently used...
Big data applications (e.g., Extract, Transform, and Load (ETL) applications) are designed to handle great volumes of data. However, processing such great volumes of data is time-consuming. There is a need to construct small yet effective test data sets during agile development of big data applications. In this paper, we apply a combinatorial test data generation approach to two real-world ETL applications...
Security testing is a pivotal activity in engineering secure software. It consists of two phases: generating attack inputs to test the system, and assessing whether test executions expose any vulnerabilities. The latter phase is known as the security oracle problem. In this work, we present SOFIA, a Security Oracle for SQL-Injection Vulnerabilities. SOFIA is programming-language and source-code independent,...
The U. S. Preventive Services Task Force recommends that clinicians engage in shared decision making with women at high-risk for breast cancer about medications to reduce their risk, also known as chemoprevention. However, uptake has been low (
As web-based open data sources become increasingly accessible and rich, translating and repurposing this data towards an educational goal is a topic of interest. Significant challenges exist in taking this data and translating it to a form meaningful, relevant, and engaging to the learner, addressing the gap between information, knowledge, and understanding. Games provide a key medium through which...
This paper describes an innovative approach to standards education in an undergraduate mechanical engineering technology design course. The work is focused on making standards appeal to students by using “everyday objects” (e.g. toaster, ladder, grill, etc.) as catalysts to introduce the topic of standards in a way that connects to students' daily lives. The project involves instructor-librarian collaboration...
Web applications are nowadays being used to support enterprise-level business operations and usually rely on back-end databases to deliver service to clients. Research and industry reports indicate the huge impact the quality of the data can have on businesses, especially when applications are not prepared for handling low quality data. In fact, even in widely tested and used applications, the presence...
Repositories of educational resources currently offer various services, including searching and storing learning resources, these services are considered basic in the repositories of educational resources. Universities are producing educational resources, but the reality is that usually these resources generated by students and teachers of the university are often lost. This is mainly because these...
In this paper, we present a novel depression dis-order classification algorithm, named weighted discriminative dictionary learning (WDDL), based on functional magnetic resonance imaging (fMRI) data. The underlying relationship between samples and dictionary atoms is exploited by introducing an adaptive weighting scheme. Tested on fMRI data of 29 patients with depression and 29 healthy controls, our...
Selecting the appropriate parameters for an indoor positioning system may be a difficult task due to the large number of parameter combinations. It is more complex in realistic multi-building multi-floor environments, where severe wrong building and floor errors occur but they are not highlighted in the main evaluation metric. Moreover, a selected parameter configuration, that may seem appropriate...
Deep convolutional neural networks (DCNN's) have shown great value in approaching highly challenging problems in image classification. Based on the successes of DCNNs in scene classification and object detection and localization it is natural to consider whether they would be effective for much simpler computer vision tasks. Our work involves the application of a DCNN to the relatively simple task...
Library Automation and Digital Archive (Lontar) is a liblary information system developed by Universitas Indonesia and used by its main library. Rapid increase of library collections will soon make query performance of current SQL DBMS, which is MySQL, not fast enough to satisfy users and need to be complemented by NoSQL database, an emerging technology that specially developed for managing big data...
For the lacking of inspection method, the transportation data standards are compiled weakly in the process of transportation information system developing, which increases the difficulty of data sharing and exchange. In order to improve the conformance of data with the standards of transportation information systems, a method named “data standard conformance inspection” is proposed in this paper....
This paper develops a Linear Discriminant Analysis based face recognition system in the Discrete Cosine Transform (DCT) domain as a departure from the traditional analysis in the spatial domain. In the training mode, the truncated DCT coefficients are used to find discriminating features for all the subjects in the image database. The compact representation of the truncated DCT coefficients leads...
Information and data are increasing and has rapid growth as we now are in big data era. Database management system becomes a major part of data centers. This paper compared the performance of an open source database management system between MySQL and MariaDB. The testing environment is Xen 4.4 virtual machine using OLTP-Simple and OLTP-Seats as the benchmark data. Our experiment results show that...
In the conventional frame feature based music genre classification methods, the audio data is represented by independent frames and the sequential nature of audio is totally ignored. If the sequential knowledge is well modeled and combined, the classification performance can be significantly improved. The long short-term memory(LSTM) recurrent neural network (RNN) which uses a set of special memory...
In this paper, a pathological voice dataset (PVD) is introduced. The dataset contains recordings of 14 speakers (9 female and 5male) and two health states: normal and unhealthy. Each speaker pronounces fixed words, prompted digits, reads sentences and gives free talking. These materials cover all the phonemes in Chinese. The dataset also considerate the channel variability and is recorded through...
Many speech emotion recognition approaches have been presented in recent years, and most of them assume that emotional speech utterances in training and testing corpora are collected under the same conditions. However, in many real applications, this assumption does not hold as the training data and testing data are often obtained from different scenarios, e.g., ages, noises, languages. To address...
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