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Speech impaired people are detached from the mainstream society due to the lacking of proper communication aid. Sign language is the primary means of communication for them which normal people do not understand. In order to facilitate the conversation conversion of sign language to audio is very necessary. This paper aims at conversion of sign language to speech so that disabled people have their...
In this paper, we introduce a formulation for a folding sum transformation and then investigate into its impact on binary classification. The proposed folding sum transformation can reduce dimension of data without a training process. The least squares estimation and a full multivariate polynomial expansion are utilized to apply the folding sum transformation for binary classification. Twelve binary...
In consideration of the problem that the existing face recognition methods cannot handle the face recognition under unsatisfactory situations, such as shadows, occlusions, stains, which cause low recognition rate. Therefore, an algorithm based on discriminative low-rank matrix recovery with sparse constraint (DLRRSC) is proposed. First, discriminative low-rank matrix recovery is used to correct the...
The types and numbers of benthic macroinvertebrates found in a water body reflect water quality. Therefore, macroinvertebrates are routinely monitored as a part of freshwater ecological quality assessment. The collected macroinvertebrate samples are identified by human experts, which is costly and time-consuming. Thus, developing automated identification methods that could partially replace the human...
Radio frequency fingerprinting, based on Wi-Fi signals is a popular approach for indoor localization. Recently a few works have explored applicability of machine learning techniques to this problem. However, the challenging task of accurately finding the position depends on prior efforts of fingerprinting. Another challenge is that, distance sensitivity of signal strength depends on proximity to the...
Regression testing is the way to ensure the current version of the program is up and running. Continuous testing throughout the development cycle leads to detecting bugs as early as possible; however, it imposes huge overhead if the entire test suite has to be run. In this paper, powered by the goal of early detection of bugs, a regression test selection technique is proposed. The proposed technique...
Real handwriting authentication systems need a robust writer identification over a long time period. The paper analyzes signature sessions of the ATV-Signature Long Term Database (ATV-SLT DB). The database contains 6 sessions generated by 27 users over 15 month. The quality change of the verification results over a period of 15 month is examined. 64static and dynamic biometric features from the ATV-SLT...
Rhythm information, which plays an important role in music features, still has a long way to go. Most current researches on this field are based on single feature, which is unstable. In this paper, we proposed a novel method to change this by fusing rhythm feature with gammatone frequency cepstral coefficients(GFCC) feature. After the pre-processing including detecting the beginning of songs, removing...
Humanoid robot is a robot that has intelligence like human. In this research, the team has build a robot called by FLoW. The robot is designed to have the ability as human beings, one of the ability is able to communicate. In the process of communication requires media, one of them is sound. This system is built to help the development research of ER2C (EEPIS Robotic Research Center) in building a...
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...
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...
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