3,759 research outputs found
A multistage hierarchical algorithm for hand shape recognition
This paper represents a multistage hierarchical algorithm for hand shape recognition using principal component analysis (PCA) as a dimensionality reduction and a feature extraction method. The paper discusses the effect of image blurring to build data manifolds using PCA and the different ways to construct these manifolds. In_order to classify the hand shape of an incoming sign object and to be invariant to linear transformations like translation and rotation, a multistage hierarchical classifier structure is used. Computer generated images for different Irish Sign Language shapes are used in testing. Experimental results are given to  show the accuracy and performance of the proposed algorithm
Analisis Faktor yang Berhubungan dengan Kepatuhan Pengobatan Malaria di Kabupaten Sarolangun Provinsi Jambi Tahun 2015
In the case of malaria Sarolangun ranks 10th AMI and API Comparison of the total population and the incidence of malaria cases is highest in Singkut health center with a total number of 481 patients with AMI 21.20%, and API 242 (3.38%). Unknown factors related to malaria treatment compliance so that the formulation of the problem is what are the factors related to malaria treatment compliance in Sarolangun. The purpose of this study was to analyze factors associated with compliance of malaria treatment in Sarolangun Jambi Province.This research is an explanatory research with cross sectional design. Samples are patients who tested positive for malaria through laboratory tests. The number of samples in this research were 122 respondents. The results showed 60.7% of respondents have less compliance in the treatment of malaria compared with good adherence of 30.9%. Statistical analysis of variables that were statistically show that the dominant influence is the knowledge about malaria with 0,024 value ρ (ρ  0.05)Statistically significant variables as risk factors for malaria treatment compliance is knowledge about malaria, perception of barriers, as well as family support
Blind image separation based on exponentiated transmuted Weibull distribution
In recent years the processing of blind image separation has been
investigated. As a result, a number of feature extraction algorithms for direct
application of such image structures have been developed. For example,
separation of mixed fingerprints found in any crime scene, in which a mixture
of two or more fingerprints may be obtained, for identification, we have to
separate them. In this paper, we have proposed a new technique for separating a
multiple mixed images based on exponentiated transmuted Weibull distribution.
To adaptively estimate the parameters of such score functions, an efficient
method based on maximum likelihood and genetic algorithm will be used. We also
calculate the accuracy of this proposed distribution and compare the
algorithmic performance using the efficient approach with other previous
generalized distributions. We find from the numerical results that the proposed
distribution has flexibility and an efficient resultComment: 14 pages, 12 figures, 4 tables. International Journal of Computer
  Science and Information Security (IJCSIS),Vol. 14, No. 3, March 2016 (pp.
  423-433
Nonlinearity reduction of manifolds using Gaussian blur for handshape recognition based on multi-dimensional grids
This paper presents a hand-shape recognition algorithm based on using multi-dimensional grids (MDGs) to divide the feature space of a set of hand images. Principal Component Analysis (PCA) is used as a feature extraction and dimensionality reduction method to generate eigenspaces from example images. Images are blurred by convolving with a Gaussian kernel as a low pass filter. Image blurring is used to reduce the non-linearity in the manifolds within the eigenspaces where MDG structure can be used to divide the spaces linearly. The algorithm is invariant to linear transformations like rotation and translation. Computer generated images for different hand-shapes in Irish Sign Language are used in testing. Experimental results show accuracy and performance of the proposed algorithm in terms of blurring level and MDG size
Rheology Of Cement Paste Containning Chemical Admixtures
Understanding the Rheology of cement and water is a not a simple task since, thebehaviour of complicated system varies with time and there is still a great deal of work to bedone before, it is properly understood. In this study, we used a new simple and cheaptechnique to evaluate flow properties of cement paste .This technique is based on dropping aneedle from a constant height. The penetration depth is measured at different circumstances,different w/c ratios, different types of super plasticizer, and different percentage of admixturefor two types of cement types of cements OPC type V (CEMEX) and OPC type I (HELWAN)were considered in this study. Also, effect of retempering on penetration depth were alsoconsidered. Finally effect of variation of needle drop height was also considered. Thepenetration depth technique proved to be effective in monitoring the effect ofsuperplasticizer/cement ratio percentage, effect of time, manual remixing after 30 minutesand needle drop height on the rheological behavior of different types of cement paste, whichfurther proves the effectiveness of this method in evaluation of cement paste Rheology
Rancang Bangun Aplikasi Perencanaan Anggaran Biaya Tenaga Kerja pada Proyek Konstruksi Gedung
Construction project management planning will require manpower requirements, the calculation of labor cost budget, number of employees, the arrangement of activities and time required to complete each activity. So far, only managing assessments of workforce needs. This is because of the experience and do not know the technical calculations in calculating labor costs. As a result, the project failed and declining consumer confidence.Handling solutions to create budget planning application labor costs in building construction projects. The system is built to calculate the labor requirements, needs labor costs, and time required to complete the project.This application generates information report labor cost budget plan, the amount of manpower needs, and schedulling of the project. Based on the result of experiments performed, the application can help the process of planning manpower requirements, and planning labor costs in building construction projects
Categorization of slope failure in southern Malaysia using total estimated hazard (TEHD) method
Slope is a measure of steepness or the degree of inclination of a feature relative to the horizontal plane. One of the phenomenon or incidents of a slope was called as slope failure or landslide. Slope failure was a major natural disaster that had affected the country in terms of injuries, deaths, property damage, destruction of services, public inconvenience and economic as well as financial losses. Slope failure cases were very serious geologic hazard disaster that happened in many countries around the world. The aim of this paper is to determine the category of slope failure in the state of Johor based on Landslide Hazard Zonation (LHZ). Data were calculated by using Total Estimated Hazard (TEHD) value method which considered six factors effecting the slope failure, including lithology; slope steepness, topography, land use class, annual rainfall and type of soil. Data on the factors were collected from Malaysia Public Works Department (JKR) inspection form, website, and secondary data resource. After that weight for each factor were identified by referring to Landslide Hazard Evaluation Factor (LHEF) rating scheme. Then determination of LHZ was done according to TEHD values which have five hazard zones; (1) very low; (2) low; (3) medium; (4) high; and (5) very high. The results of this study found that out of total fifty two cases there were three medium hazard (MH), twenty seven high hazard (HH) and twenty two very high hazard (VHH). Comparison between actual data from JKR and total 52 locations of slope failure in Johor showed that 94% accuracy, TEHD equation could calculate potential slope failure hazards in Johor very well
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