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Biometric is a method to identify human using the specific feature based on part of human body. Nowadays, biometric is widely used because of the performance to identify human. The palm-print data-set used in this research were manually collected that consist of 110 people with 10 images for each person. Palm-print recognition system consist of : region of interest (ROI) extraction using Competitive...
In this paper, We present a Self-Physical Rehabilitation System (SPRS) that assists patients to rehab correctly at home by themselves without physical therapists for solving the problem of access to medical service. SPRS uses KINECT to detect movement of patient's body while doing self-rehab and processing of data from motion detection of patients by KINECT to determine accuracy of gesture. This software...
Biometrie is one type of physical characteristics that can be used for person identification as it has uniqueness. Palm vein is one of individual biometrics that attracts researcher attention recently. The advantages of palm vein compared to others are that palm vein represent if someone is still alive or dead, palm vein is hidden under the human skin, and palm vein is quite impossible to be imitated...
Automatic diagnosis of electrocardiogram (ECG) signal is significant for timely and accurate diagnosis of heart diseases like arrhythmia. Several researchers have proposed different methods in last two decades. In this work we have employed a global ECG beat classification approach based on transformed features like discrete cosine transform (DCT) and discrete wavelet transform (DWT) rather than conventional...
With the growth in data collection through the use of media, it is necessary to classify this data in its resident format and with a good classification accuracy. Today the majority of the volume of data being gathered or shared is in the form of videos. Major multimedia applications are being developed to capture more and more high quality videos of different types. Its crucial to know what techniques...
Intrusion detection system (IDS) research field has grown tremendously in the past decade. Improving the detection rate of user to root (U2R) attack class is an open research problem. Current IDS uses all data features to detect intrusions. Some of the features may be redundant to the detection process. The purpose of this empirical study is to identify the important features to improve the detection...
To detect and classify the anomaly in computer network, KDD CUP 1999 dataset is extensively used. This KDD CUP 1999 data set was generated by domain expert at MIT Lincon lab. To reduced number of features of this KDD CUP data set, various feature reduction techniques has been already used. These techniques reduce features from 41 into range of 10 to 22. Usage of such reduced dataset in machine learning...
This paper proposes a method to identify the arohana-avarohana of carnatic raga. Carnatic raga is broadly classified as melakarta (parent) and janya (child) raga. Arohana-avarohana of 10 different ragas is collected from 16 different singers. 16 audio data are collected for each raga. 11 among the 16 are used in the training phase and the remaining 5 are used for testing. The acoustic feature, MFCC...
Management of crops from early stage to mature harvest stage involves identification and monitoring of plant diseases, nutrient deficiency, controlled irrigation and controlled use of fertilizers and pesticides. Although the number of remote sensing solutions is increasing, the availability and ground visibility during critical growth stages of crops continue to be major concerns. eAGROBOT (a prototype)...
Anomalous traffic detection on internet is a major issue of security as per the growth of smart devices and this technology. Several attacks are affecting the systems and deteriorate its computing performance. Intrusion detection system is one of the techniques, which helps to determine the system security, by alarming when intrusion is detected. In this paper performance of NSL-KDD dataset is evaluated...
Attribute based knowledge transfer has proven very successful in visual object analysis and learning previously unseen classes. However, the common approach learns and transfers attributes without taking into consideration the embedded structure between the categories in the source set. Such information provides important cues on the intraattribute variations. We propose to capture these variations...
Content Based Video Classification is becoming necessary for various video analysis applications to be able to handle humongous amounts of video data being generated & shared all over the Internet. This paper proposes use of DTTBTC for color based feature extraction from video key frames which are used by machine learning classifiers for training & testing. Experimental results show accuracy...
Contained in this trial-use guide are instructions for conducting tests to determine the performance characteristics and machine parameters of permanent magnet (PM) machines. The tests described may be applied to motors and generators, as needed, and no attempt is made to partition this guide into clauses applying to motors and clauses applying to generators. It is not intended that this guide shall...
Nowadays, with enhancing possibilities of the Internet usage, the number of its users grows as well. People use it more and more to communicate among themselves. This kind of communication plays a significant role in the decision-making process. Based on this finding, a need to analyze the content of the ample web discussions (so-called conversational content) using the computers arose. Therefore,...
Physical interactions between the proteins in a living organism helps in identification of most protein-protein interaction data. The annotated proteins are previously known by their functions. Their knowledge is definite. The un-annotated proteins are annotated based on estimation of such similar functions. Generally a cluster containing annotated nodes with their adjacent unlabeled nodes is assumed...
In recent years, the demands for LED are increasing. For testing the quality of LEDs, a lot of LED probes are necessary, so the high precision and efficient methods are paid more attention by industrial applications. This paper is focused on the measurement of the angle and the radius of a LED probe by computer vision. In previous paper, we proposed an effective method based on Canny edge detection...
Traditional classification algorithms often perform well when training and testing data are drawn from the identical distribution. However, in real applications, this condition may be not satisfied. Domain adaptation is an effective approach to deal with this problem. In this paper, we propose an efficient two-stage algorithm for domain adaptation. In the label transfer stage, we utilize training...
As the need of internet is increasing day by day, the significance of security is also increasing. The enormous usage of internet has greatly affected the security of the system. Hackers do monitor the system minutely or keenly, therefore the security of the network is under observation. A conventional intrusion detection technology indicates more limitation like low detection rate, high false alarm...
P300-speller is a communication style based on Brain-computer interface (BCI) which allows users to input characters by electroencephalography (EEG) signals. In the past few years, there are various studies on P300-speller paradigm and classification algorithm. However, the accuracy and bit rates are not yet satisfied for our daily life. In order to improve the performance of the P300-speller, we...
This paper addresses the problem of adaptive chemical detection, using the Receptor Density Algorithm (RDA), an immune inspired anomaly detection algorithm. Our approach is to first detect when and if something has changed in the environment and then adapt the RDA to this change. Statistical hypothesis testing is used to determine whether there has been concept drift in consecutive time windows of...
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