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This paper aims to present an evaluation of wavelet fusion method on land cover classification task. Wavelet fusion is one of the pan-sharpening methods which combines the higher spatial resolution panchromatic image with the lower resolution multispectral image to create high resolution fused image. Data fusion using multispectral and high spatial resolution panchromatic images are useful for improving...
The purpose of this study is to determine the optimal wavelet-based feature extraction technique based for rice growth stage classification. Data are obtained from the Badan Pengkajian dan Penerapan Teknologi (BPPT). We implemented two decomposition approach i.e. standard wavelet decomposition and wavelet packet analysis with coif1, coif2, coif3, db2, db3 and haar as the wavelet basis. The level of...
Sleep quality is an important factor for human physical and mental health, day-time performance, and safety. Sufficient sleep quality can reduce risk of chronic disease and mental depression. Sleep helps brain to work properly that can improve productivity and prevent accident because of falling asleep. In order to analyze the sleep quality, reliable continuous monitoring system is required. The emergence...
Healthy lifestyle is an important requirement for people, which is obtained from balanced nutrition. Imbalanced nutrition increases risk of health problems. Balanced nutrition means the difference between nutrition needed and nutrition intake must be as minimum as possible. The condition in Indonesian, many people consume food with high carbohydrate; whereas nutrition consists of protein, carbohydrate,...
Despite the growth of the implementation of the Internet of Things (IoT) in the last decade, the IoT still continues to rise. In 2020 there will be an estimated 50 billion devices connected to the IoT. A crucial factor is the quality of service through quality governance software of IoT. The various traditional approaches of measuring the quality of software needs to be improved and adapted to the...
Software development time is a critical issue in software development process, hibernate has been widely used to increase development speed. It is used in database manipulation layer. This research develops a library to simplify hibernate criteria. The library that is called as Hibernate Criteria Extension (HCE) provides API functions to simplify code and easily to be used. Query associations can...
Hyperspectral image is capable to distinguish paddy growth stages with classification methods. Hyperspectral has disadvantages. One of the disadvantages is hyperspectral image has high dimensionality that can cause curse of dimensionality. In this paper, PCA and Kernel PCA are used to reduce the dimension of hyperspectral data. The objective in this research is to analyze the effect of using dimension...
The field of remote sensing has drawn a lot of attention recently. However, collecting necessary ground truth data for research in this field requires a lot of effort. Therefore, this paper presents a method for constructing estimated ground truth data using classification. This method reduces the workload in collecting remote sensing ground truth data. The contribution of this paper is to prepare...
Principal Component Analysis (PCA) is a technique to transform the original set of variables into a smaller set of linear combinations that account for most of the original set variance. The data reduction based on the classical PCA is fruitless if outlier is present in the data. The decomposed classical covariance matrix is very sensitive to outlying observations. ROBPCA is an effective PCA method...
This paper presents an approach of converting a digital image to a cross stitch pattern. The color space of the input image is quantized and classified into the nearest thread colors using k-NN classifier. Two different metrics are tested, i.e. CIE94 (which using LAB color space) and Euclidean Distance (which using RGB color space). The outputs are validated both quantitatively (using Color Coherent...
In this study, ground based data from spectroradiometer International Light type ILT900 combined with remotely sensed data from MODIS (Moderate Resolution Imaging Spectrometer) sensor of experimental farmland of the Ministry of Agriculture Republic of Indonesia in Sukamandi, Subang, West Java were used as input data for rice crop estimation using regression analysis. We chose four spectral bands (1–4)...
Indonesia is developing country with high population. There are more than 200 million residents living in the country. As a developing country, Indonesia has several health problems. First, Indonesia has a high value of mortality caused by heart and cardio vascular diseases. One of the major cause is the lack of medical checkup especially for heart monitoring. It is caused by limited number of medical...
In this paper we present a method for multi-lead ECG signal compression using Predictive Coding combined with Set Partitioning In Hierarchical Trees (SPIHT). We utilize linear prediction between the beats to exploit the high correlation among those beats. This method can optimize the redundancy between adjacent samples and adjacent beats. Predictive coding is the next step after beat reordering step...
The robust dimension reduction for classification of two dimensional data is discussed in this paper. The classification process is done with reference of original data. The classifying of class membership is not easy when more than one variable are loaded with the same information, and they can be written as a near linear combination of other variables. The standard approach to overcome this problem...
This paper discusses the classic and robust discriminant analysis algorithm applied to the classification of rice fields, water, buildings, and bare land areas. Discriminant Analysis for multiple groups is often done. This method relies on the sample averages and covariance matrices computed from the training sample. Since sample averages and covariance matrices are not robust, it has been proposed...
In this paper we proposed the implementation of 3D Set Partitioning In Hierarchical Trees (SPIHT) algorithm to a multi-lead ECG signal compression. The implementation of 3D SPIHT decorrelates three types of redundancy that commonly found on a multi-lead electrocardiogram (ECG) signal i.e. intra-beat, inter-beat, and inter-lead redundancies. To optimize overall compression performance we also proposed...
A 12-lead ECG hardware device with compression scheme using set partitioning in hierarchical trees algorithm is reported. The compression algorithm is expanded with beat reordering technique in order to increase the regularity between signal in 2D ECG array, hence reduce the error while maintain to 1:8 compression ratio. Experimental results shows that the error of sorted compressed signal is less...
This paper discusses an efficient and effective robust algorithm applied to the classification of vegetation areas in the Jakarta Province. The input data is remote sensing data from the Landsat 7 Satellite. The classification process is guided over two steps, training and classification. The purpose of the training step is to determine the reference spectra of the vegetation area, and the purpose...
An effective electrocardiogram (ECG) signal compression method based on two-dimensional wavelet transform which employs set partitioning in hierarchical trees (SPIHT) and beat reordering technique is presented. This method utilizes the redundancy between adjacent samples and adjacent beats. Beat reordering rearranges beat order in 2D ECG array based on the similarity between adjacent beats. This rearrangement...
Sleep is an essential phase in human circadian rhythm with importance in restoring human vigour and vitality. Conventional sleep examination is done using Polysomnography with many sensors connected to various parts of human body. Recently, research in sleep is geared toward alternative feasibility of using only ECG signal. In this research, sleep stages classification using only features derived...
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