OBJECTIVE For a health information exchange (HIE) organization to succeed in any given region, it is important to understand the optimal catchment area for the patient population it is serving. The objective of this analysis was to understand the geographical distribution of the patients being served by one HIE organization in New York City (NYC). MATERIALS AND METHODS Patient demographic dat...

This paper proposes two unconventional metrics as an important tool for assessment research: the Manhattan (L1) and the Euclidean (L2) distance measures. We used them to evaluate the results of a Latent Semantic Analysis (LSA) system to assess short answers to two questions about HTML in an introductory computer science class. This is the only study, as far as we know, that addresses the questi...

Assume n wireless mobile sensors are initially dispersed in an ad hoc manner in a rectangular region. They are required to move to final locations so that they can detect any intruder crossing the region in a direction parallel to the sides of the rectangle, and thus provide weak barrier coverage of the region. We study three optimization problems related to the movement of sensors to achieve w...

This study will observe the process of grouping data or forming clusters using K-Means with three methods measuring distances, namely Euclidean distance, Manhattan and Minkowski distance. Observations are more focused on changing centroid value results data, as well number iterations required. Experimental amounted to 20, 30, 40, 50 pieces which were grouped into 2 groups. research also summari...

The difference expansion based (DE-based) reversible data hiding schemes suit different types of vector maps respectively, and show good performance, both in capacity and invisibility. In addition, the schemes are strictly reversible. The potential applications of the data hiding schemes may include map data authentication, secret communication, and so on. However, a loophole exists in the DE-b...

Clustering merupakan proses pengelompokan sekumpulan data ke dalam klaster yang memiliki kemiripan. Kemiripan satau ditentukan dengan perhitungan jarak. Untuk melihat perfoma beberapa jarak, penelitian ini penulis menguji pada 6 atribut berbeda, yakni 2, 3, 4, dan atribut. Dari hasil uji perbandingan rumus jarak K-Means clustering menggunakan Silhouette coefficient dapat disimpulkan bahwa: 1) C...

Radiometric normalization is critical for multi-spectral image change detection. In this paper, a histogram matching method is proposed to perform relative radiometric normalization among heterogeneously sensed images. To quantify the histogram matching quality, which is reference image and band dependent, the image differencing based quantitative measure, such as Euclidean or Manhattan distanc...