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Lung sound is one of the important information in the diagnosis of respiratory disease. Many researchers have developed various algorithms to diagnose lung disease through the lung sounds. One of the parameters used as the feature of lung sound is entropy, a measure of the signal complexity in which the normal biological signal and the pathological biological signal have different complexities. Entropy...
Currently, voice recognition technology is widely used to produce lip sync animation. Vowels take the most dominant roles for lip sync animation as it always exists in every syllable. Therefore, it is necessary to select appropriate vowel traits for the system to be accurate. In general, there are five vowels of Indonesian language, namely /a/ /i/ /u/ /e/ and /o/. However, there are two vowels that...
System performance on cognitive femtocell network depends on power control method. Therefore, power control comparison between DPC and PCG is needed. Result showed that DPC had higher convergence rate than PCG but maximum values of DPC was only equal to SINR target. The proposed PCG at the convergent condition was able to exceed the SINR target, yet it had higher power than the previous PCG which...
Feature extraction plays a very important role in the speech classification process because a better feature is good for improving the classification rate. This paper presents a speech feature extraction method by using Discrete Wavelet Transform (DWT) at 7th level of decomposition with mother wavelet of Dau-bechies 2, Renyi Entropy (RE), Autoregressive Power Spectral Density (AR-PSD), Statistical,...
A number of researchers have proposed numerous methods in fingerprint matching aspect, especially, in term of speed and memory consumption for decades. However, the problem of the matching accuracy remains until recent days, which is obviously caused by distortions. In this paper, the Two Level of Scoring System is an extension modified from original Hough transform (HT) approach, which is proposed...
pulmonary crackle sound is produced by an abnormality in the respiratory tract. Pulmonary crackle sound is one of lung sound that is discontinuous, short duration and appears on the inspiratory phase, expiratory phase or both. Various methods are used by researchers to detect crackle sound automatically, for example using entropy measurement. Tsallis entropy is a measure of the entropy that has nonextensivity...
LED driver has the potential to interfere the system of electronic devices if the voltage and current change rapidly. Several previous studies presented various solutions to overcome this problem such as particular converter design, component design, electromagnetic interference (EMI) filters, and spread-spectrum techniques. Compared to other solutions, the spread-spectrum technique is the most potential...
In the internet age, the security of data exchange becomes risky from some tapping attacks. One of the ways to maintain the data's security is by using steganography techniques. In this paper, steganography is combined with cryptography for security enhancement. The cover media is mp3 audio file. Since mp3 is a file that has been widely used in the Internet as a medium of entertainment, the secret...
The major problem of most speech recognition systems is their unsatisfactory effectiveness (impact to recognition rate), efficiency (feature vector dimension), shift variance, and robustness in noisy condition. Feature extraction plays a very important role in the speech recognition process, because a better feature is good for improving the recognition rate. This paper presents a speech feature extraction...
Wireless Multimedia Sensor Networks (WMSNs) advances have enabled to transmit video applications. However, WMSNs technology does not fulfil the quality of service requirement yet because of multi-hop manner, changing bandwidth, and limited resources. Whereas video applications require specific Quality of Service (QoS), namely high throughput, low end-to-end delay, and packet drop rate. This paper...
The need for an efficient transmit power is affected by the condition of user and power control methods used. User conditions that categorized in cognitive femtocell networks included in the category as distributed user, so it required a distributed power control (DPC). However, centralized power control (CPC) is also important, especially in the framework as a reference for the independent power...
The development of the pattern recognition techniques in voice recognition has rapidly increased. Many methods are used to create a system that is reliable and easily accessible so that the recognition accuracy is high. To find the pattern recognition system that is robust and reliable, proper feature extraction methods are needed. In this case, the proper method of the feature extraction is an efficient...
Lung sounds can indicate a person's health condition. Lung sounds are generated from the air flow in the respiratory tract. Various of signal processing techniques are used for lung sounds analysis to reduce the subjectivity of the lung sound analysis. In this study, we propose lung sound signal analysis using first order statistic texture analysis on the spectrogram. The mean, variance, skewness,...
DVB-T2 (Digital Video Broadcasting Terrestrial Second Generation) standard is mainly intended to fix-reception service. Nevertheless, it is possible that some of enthusiastic users attempt to receive it in mobile environment. Therefore, formulating a technique for improving the reception quality is necessary, and exploring the received signal properties will be useful to do it. This paper presents...
Improvement of the reception quality can be done not only at the transmitting-side, but also at the receiving-side. To design some techniques employable at the receiving-side, knowledge about the received signal properties is required. This paper describes local-variation of the DVB-T2 (Digital Video Broadcasting Terrestrial Second Generation) received-signal, based on the observation result of a...
These days, how intelligent systems interact intuitively with human and its user friendly application can't be separated from its user interface's input method. Those systems as mentioned before, mostly use the human nature based communication method such as speech to make a seamless communication with the user. The main concern in this research is how speech as a input can be recognized and differentiated...
A new approach in terms of the transmission of multimedia applications over Wireless Sensor Network has given rise to new technologies, namely Wireless Multimedia Sensor Network (WMSN). However, multimedia data consisting of video, images, audio, and scalar data require Quality of Service (QoS) which differ based on application need. For that a new approach based on a model of cross-layer design is...
The importance of power control is related to the interference problem between users on the cognitive radio network. It also keeps the battery device remains durable. A completion method uses the algorithm feasible solution to the centralized power control by looking at the feasibility of power vector value. Feasible solution can be achieved if the value of the power user is non-negative, meaning...
This paper presents the result of research epilepsy signals preictal and ictal. Some express type of marks are to probably to know as early possible some special symptoms that a ictal is in improve. Nineteen Electrodes were applied, namely the FP1, FP2, F7, F3, Fz, F4, F8, C3, Cz, C4, T3, T4, T5, T6, P3, P4, Pz, O1 and O2. The acquisition of the values of the statistical quantity datas, namely, the...
An Epilepsy signals classification system is expected to reveal the specific characteristics of the patient's EEG signals. Some representative models of the signals are to open the possibility to detect as early as possible some specific symptoms that a seizure is in progress. The standard Principle Component Analysis followed by the acquisition of the values of the statistical quantities, namely,...
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