Abstract. This paper introduces an intelligent method for helping people to maintain their healthy by doing a self urinalysis utilising a smartphone camera. A color sensing method using a smartphone camera is designed to determine the value of a reagent strip in a urinalysis dipstick. In the dipstick urinalysis, a color change in each reagent strip is examined. This color change is a result of the reaction of dipstick to the chemical contents of urine including pH, Protein, Glucose, Ketones, Leucocyte, Nitrite, Bilirubine, and Urobilinogen. Performing disptick urinalysis can be done in almost any places even on the very remote area where medical laboratory cannot be found, and it is much easier and cheaper than medical lab visit.The proposed intelligent method includes a framework for color acquisition using a smartphone camera which covers the color management system, color correction, color matching, and quantification. The usage of RGB and CIELAB color space is discussed in the color management part. An automated color constancy approach is introduced to provide a better color correction, and a step-wise linear interpolation is introduced to better estimate the urinalysis value.To implement this proposed method, a closed acquisition box does not required. Disptick capturing can be done directly with a smartphone camera in almost any normal lighting condition.
Data relating to everyday phenomena can be recorded in the form of time series. Recently, modeling of time-series has become a topic of interest in data mining. Conducting an analysis of multivariate time series effectively is an essential task for decision-making activities in fields such as meteorology, medicine, and finance. Features selection is a key problem in the analysis of multivariate time series. Rainfall prediction, biomedical classification, pattern recognition, sensor network analysis and so on all have different input features. The problem is that these features have interdependencies and time-delay relationships. Currently, research on the selection of input features of these data still depends on whether they are linear or non-linear. In this paper, we propose a new integration strategy between Pearson Correlation and Symmetrical Uncertainty for relevant feature selection based on linear and non-linear relationships for multivariate time-series classification. We evaluated the goodness of fit of feature subsets using merit value. The meteorological data set was used to test the proposed method. The result showed that the method was able to reduce the number of features by 77.9% features and increase their merit value 2.25 times compared to no input features selection.
Di satu sisi migrasi penduduk dari desa ke kota telah mampu merubah nilai socio-culture dan sistem ekonomi keluarga, namun di sisi lain telah menyebabkan lansia hidup terpisah dari anggota keluarganya. Berdasarkan hal tersebut maka penelitian ini dilakukan dengan tujuan untuk; (1) mengkaji proses perubahan socio-culture dan economic separation yang terjadi pada keluarga lansia; (2) menganalisis kondisi kehidupan sosial-demografi dan ekonomi lansia dalam kondisi spatial separation; dan (3) menganalisis pengaruh perubahan socio-culture dan economic separation terhadap kehidupan lansia. Penelitian ini dilakukan di Desa Tileng Kecamatan Girisubo dengan mengambil sampel keluarga lansia. Sampel diambil secara random sampling. Data primer dikumpulkan melalui wawancara terstruktur, sedangkan data sekunder dikumpulkan dari instatsi pemerintah. Data disajikan dalam bentuk tabel frekuensi dan tabel silang, kemudian dianalisis secara deskripssi kualitatif. Hasil penelitian menemukan bahwa proses perubahan socio-culture diawali dari proses perubahan pendidikan anggota keluarga dan perubahan padangan lansia terhadap nilai-nilai socio-culture, sedangkan proses economic separation diawali dari proses perubahan aktivitas ekonomi tradsional menjadi ekonomi modern pada keluarga lansia. Penelitian ini juga menemukan kondisi kehidupan lansia yang tercemin dari kondisi sosial-demografi dan ekonomi dalam kondisi spatial separation cukup beragam. Temuan lain dari penelitian ini adalah perubahan socio-culture dan economic separation pada keluarga lansai berpengaruh terhadap kondisi kehidupan lansia yang terpisah dari anggota keluargnya.
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