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Affiliate marketing (AM) is a popular and cost-effective marketing model for e-commerce practitioners to drive visitor traffic, to their e-commerce sites. Nevertheless, this popular marketing model is associated with inherent risks and known frauds, which could have a detrimental effect on its popularisation. Many studies have been carried out to explore risks and frauds that are typically associated...
Multi-script writer identification consists in identifying a person of a given text written in one script from the samples of the same person written in another script. The rationale behind this is that the writing style of an individual remains constant across different scripts. While this hypothesis may hold, recent results on a multi-script writer identification competition show that classical...
Human age estimation is an important research topic and can find its applications in such as commodity recommendation and security monitoring. The establishment of existing estimators basically follows a same pipeline, i.e., an estimator is built from a given training dataset like FG-NET and then evaluated on a holdout testing set to determine its effectiveness. In doing so, a usually-followed assumption...
Fish recognition and identification in an underwater environment are important research topics. In this study, several real-world underwater videos were collected to construct a fish category database for further fish recognition and identification. Recently, compressive sensing, using reconstruction algorithms to reconstruct a sparse signal, has been successfully applied to face recognition. Reconstruction...
In this paper, a scheme to identify the type of script of printed documents for multi-script OCR system is presented. This scheme works on block or paragraph of the given printed document. The proposed scheme uses Wavelet features and MPEG-7 Edge Histogram Descriptor (EHD) feature applied on the wavelet coefficients at level 1 to identify the type of script. To reduce the dimension of the feature...
Identification of musical instruments from the acoustic signal using speech signal processing methods is a challenging problem. Further, whether this identification can be carried out by a single musical note, like humans are able to do, is an interesting research issue that has several potential applications in the music industry. Attempts have been made earlier using the spectral and temporal features...
In this research, we have constructed road assets management system for Surabaya, the second biggest city in Indonesia. As reported in this paper, we have managed 607 assets -comprising traffic signs, traffic lights, and road marking- which are spread out at 365 different locations. The availability of mobile apps, which are equipped with camera and Global Positioning System (GPS), allows our proposed...
Security is a worldwide issue. Individuals need their information and frameworks secure from malevolent dangers and assaults. A framework must be secured inside and out from illegal penetration. Security quality affirmation checks if the application is defenseless against assaults, in the event that anybody can hack the framework or login to the application with no approval. It is a procedure to discover...
This paper aims to bring out the interrupt driven approach, taken for the design of checkout software in a completely automated environment. The Checkout Software is used for the complete automation of spacecraft checkout operations during Integrated Spacecraft Testing (IST). The checkout operations carried out for spacecraft testing include acquisition of multiple chains of telemetry in real time,...
In this paper we propose a publicly available static hand pose database called OUHANDS and protocols for training and evaluating hand pose classification and hand detection methods. A comparison between the OUHANDS database and existing databases is given. Baseline results for both of the protocols are presented.
Published by the Combined DNA Index System (CODIS) program of the Federal Bureau of Investigation (FBI) in 1997, the 13 core short tandem repeat (STR) loci are widely adopted as genetic markers in forensic applications, e.g., identity testing and paternity testing. However, these loci may be biased and suffer from reduced sensitivities towards specific population groups. In addition, the rapid growth...
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...
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