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Several data processing systems in a telecommunication enterprise rely on batch scheduling. The batch systems usually contain a large amount of data and require complex scheduling process. Using native job launchers like Cron cannot handle these requirements and will likely degrade performance and reliability of the system. In this paper we propose to custom-design a specific job scheduler with dynamic...
The important issue in multi-class classification on support vector machines is the decision rule, which determines whether an input pattern belongs to a predicted class. To enhance the accuracy of multi-class classification, this study proposes a multi-weighted majority voting algorithm of support vector machine (SVM), and applies it to overcome complex facial security application. The proposed algorithm...
The challenge of facial biometrics is the decision rule of how to determine whether the claimant is the genuine user. It is an important issue that the decision rule affects the accuracy of performance. Therefore, the study proposes a breadth-first-based decision algorithm for facial biometrics. The proposed algorithm searches different graph paths to obtain a verified decision to accept or reject...
The amount of speaker specific information in speech signal varies from frame to frame depending on spoken text and environmental conditions. A frame selection at the preprocessing stage can be an added advantage in this context. In pre-quantization (PQ) we select a new sequence of frames Y from the original frames X such that length of Y is less than X. In this paper, we first analyze a number of...
Due to advances in data collection and increasing dependency on data mining experts, preserving privacy of the data is a major concern when mining the data. Most of the classifier implementations for data mining have the tradeoff between classification accuracy and maintenance of data privacy. Another important aspect in distance-based classifiers is to accurately compute distance (or similarity)...
As security is a major concern in present times, reliable authentication systems are in great demand. A biometric trait like the vascular pattern on the back of the hand of a person is unique and secure. A biometric system working on this principle often fails to authenticate a person either because of the varying hand posture or due to an injury altering the vein pattern. In this paper we propose...
Multichannel electrocardiogram (MECG) signal de-noising can be described as a process of removing the clinically unimportant contents present from the signal. Higher order statistics (HOS) can help to retain finer details of an electrocardiogram (ECG) signal which can effectively reduce the noise levels in MECG signal. In this work, it is proposed to evaluate the HOS (kurtosis) in each Wavelet band...
The performance of a speaker recognition system decreases when the speaker is under stress or emotion. In this paper we explore and identify a mechanism that enables use of inherent stress-in-speech or speaking style information present in speech of a person as additional cues for speaker recognition. We quantify the the inherent stress present in the speech of a speaker mainly using 3 features, namely,...
To provide personal services in a ubiquitous environment, it is necessary to identify users without giving a psychological pressure to them. This paper proposes a configuration of the sensor network used to identify a user based on his or her sole pressure distribution on a sensor mat that uses a hetero-core optical fiber. Specifically, it presents a filtering algorithm used to determine the pressure...
The objective of the research is to review the underlying principles based on performance in the health care sector. Performance indicators such as efficiency, acceptability, equity and quality are some of the measures considered. The research demonstrates the use of emerging technology (e.g., RFID - Radio Frequency Identification) to reduce health care costs and also facilitate the automating and...
This paper reports an implementation of an intelligent mining approach from veterinary clinical records and an external source of information. The system retrieves information from a local veterinary clinical database and then complements this information with related records from an external source, OAIster. It utilizes text-mining, Web service technologies and domain knowledge, in order to extract...
One of the major concepts in business analytics is to identify the anomalies over time, also called as trend analysis. This can be easily done in pivot tables by using time as one of the dimensions, usually across columns. However, the trending information itself is insufficient to make any quick and insightful observations. Ranking the time series to identify the similar units of information can...
Many network management stations are designed statically to accomplish a set of defined functions taken from object IDs. As the implemented MIB objects for under-development WiMAX tend to grow, redesigning a deployed network manager would occur many times. Therefore, providing a more generalized and customizable network manager would become an alternative solution. In this paper, we design a customizable...
RFID has been applied in many industries, especially in logistics. Usually, RFID is used as an identification that replaces barcode or combined with barcode. RFID has many advantages, for example, it can be read fast and improves the efficiency of data gathering. This paper introduces a RFID application system in warehouse management that is used to identify cargo when inbound and outbound. Based...
In this paper, we propose an approach using spatial displacement (or residue) of facial points, for Facial Expression Recognition using 3D facial models. It is shown that residues of facial points, have more information about facial expressions than the static expressive face itself. This approach overcomes some of the inherent defects in just taking the expressive face as the basic model to work...
A novel non-invasive method is proposed to help identify the endangered Pygmy Bluetongue Lizard. This would be preferable to the commonly used, invasive, toe-clipping method, which could be unreliable if the lizard was to lose a toe or foot naturally. Each lizard has a unique and permanent scale pattern which can be used to identify individual lizards. The proposed method involves a novel technique...
Product inventory and location management systems using IDs in RFID tags are now commercially introduced. However, systems that require highly precise product locations need to use multiple tag sensors. This requirement increases the system cost. These systems also require a database system for ID-based management. This paper proposes a location management method that requires only a single tag sensor...
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