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Statistical analysis of the high potential incident in andals oil of Indonesia
No full text2. Job factor leading to unsafe working conditions3. Human-behavioral factor. Based on the regression analysis and path analysis, it
is concluded that the number of High potential incidents is directly affected by
Job factor leading to unsafe condition and Human-behavioral factor. Although
the Organizational system factor may not significantly affect the number of High
potential incidents, this factor still directly engenders unsafe working condition by
affecting variable Job factors. Therefore, corrective and preventive action should
be addressed based on the degree of importance for each incident causes
factor
Performance optimization of combined cycle power plant considering various operating parameters
No full textFree vibration analysis of laminated CNTRC plates using the pb2-ritz method
No full textThis paper presents the free vibration analysis of laminated functionally graded carbon nanotube reinforced composite (FG-CNTRC) plates. The CNTRC layer consists of single-walled carbon nanotubes (SWCNTs) as reinforcement and polymer as a matrix. The material properties are
determined according to the extended rule of mixture. Four different patterns of SWCNTs distribution across the thickness of individual layers are considered. Based on the first-order shear deformation theory (FSDT), the equations of motion are derived and then solved by employing the pb2-Ritz
method. The accuracy of the present approach is verified by comparing the obtained results with those available in the literature and commercial ANSYS software. The significant influences of CNT volume fractions, CNT distribution patterns, plate aspect ratio, plate width-to-thickness ratio, and boundary conditions on the non-dimensional fundamental frequency of symmetric and
anti-symmetric laminated FG-CNTR plates has been proven through the numerical examples. Furthermore, the influence of lamination schemes, CNT fiber orientation and the number of layers is also investigated
Low altitude photogrammetry for urban road mapping
No full textTo manage road over the country, geometry data of road is needed for decision making and project well management. The primary data is usually contributed by field technical support persons, such as surveyor, engineer, and others for conventional method of survey. For the sake of life safety, a study aims to carry out mapping work with unmanned aerial vehicle (UAV) platform and photogrammetry-based method. This study proposed an urban road mapping with optimal flight parameter, sensor parameter and GCP distribution by flying low for detail texture acquisition of road. The primary product of photogrammetry based is accurate digital orthophoto model (DOM) and digital elevation model (DEM). The flight parameters, sensor/image parameter of unmanned aerial vehicle (UAV) including focal length effectiveness (10.26mm and 3.61mm), image end lap percentage (90%, 80%, and 70%), Ground Scale distance (GSD) (3cm, 2cm, and 1cm), and ground control point (GCP) distribution setup (pyramid square-, square-, and linear-based networks) were outlined. In this study it was found that longest focal length 10.26mm is suitable for road mapping. 70% end lap with 1cm GSD or 25m altitude is the best parameter. By increased and well distribute GCP over the project area, accuracy increased by 1% of position. Optimal network of GCP is pyramid based network. Photogrammetry-based mapping was an accurate method for detail road mapping by proposed result above
No full textThe Gayo Highland is one of the districts in Aceh Province, Sumatra. Due to the topography, this area has a lower temperature compared than the flat and coastal areas in Aceh. The thermal comfort that is felt is based on a person\u27s mental condition and how he expresses his satisfaction with his thermal environment. In other words, it shows how humans adapt to their thermal environment. Thermal comfort based on human adaptation is known as adaptive thermal comfort. The form of dwelling for the Gayo Highland community has shifted and changed from traditional dwelling to Transitional and Modern forms that influence the Gayo Highland community\u27s adaptation to achieve thermal comfort. Therefore, this paper aims to investigate the house design in Gayo highland in providing warmth to the occupants naturally in the cold environment. Another aim of this study is to investigate the people\u27s habits in warming up the body to deal with the low air temperature in the area. This study shows how the local people adapt themselves through the house element and daily habit to gain the internal thermal comfort
CNN comparisons models on dyslexia handwriting classification
No full textDyslexia is developed by neurobiological in origin which is categorized as
learning disorder that affect the ability to read, spell, write and speak. The
most common dyslexia symptom can easily be identified through the
handwriting pattern. There are many intelligence and computational
methods that have been proposed, and they have provided various and
different performance to evaluate the proposed system ability. However,
system performances are varied and nonstandardized in each assesment on
dyslexic children to validate the presence of dyslexia symptom. The recent
deep learning models have been employed to improve the assesment
performance and (the models/ they have shown) shows significant output to
detect and classify the present of dyslexia symptoms among school children.
Therefore, there is a crucial need in deep learning, specifically for
Convolutional Neural Network ( CNN) to validate performances of different
networks, so that the most performed CNN could be a bench mark in
evaluation to detect such symptom. This study aims to compare different deep
learning networks specifically the CNN models to validate its performance
in terms of the capability to classify dyslexic handwriting among school
children. This study is proposed to compare different CNN models such as
CNN-1, CNN-2, CNN-3 and LeNet-5. The proposed methods to compare the
CNN performances are developed by using Jupyter notebook as platform.
Meanwhile, keras is the higher-level API framework to provide a more
flexible way for defining models. It specifically allows to define multiple
input or output models as well as models that share layers. The tensorflow is
also used for machine learning applications such as neural networks. Before
that, the dataset of handwriting image is preprocessed by the augmentation
process which includes the rotation of all images. CNN models have shown
significant performance and provided sufficient results of performance with
more than 87% of accuracy in classifying the potential dyslexia symptom
based on handwritten images
Detection of mumps virus of genotype g in Bangladeshi children suffering from encephalitis
No full textAlthough mumps virus (MuVi) is an important agent of encephalitis, however, mumps vaccine has not yet been included in the national immunization programme of Bangladesh. Furthermore, the genotype distribution of this virus in Bangladesh is unknown. Cerebrospinal fluid samples collected from 97 children with encephalitis from April 2009 to March 2010 were subjected to polymerase chain reaction (PCR) test to determine the causative agents. MuVi was detected in two samples, these samples were further subjected to conventional PCR using specific primers, then amplicons were sequenced, and genotype was determined as genotype G. Phylogenetic analysis showed that these strains were clustered with strains from Nepal, India, the UK, Thailand, and the USA. By Bayesian inference, we also determined that the ancestor of Bangladeshi and Indian MuVi were same and segregated only about two decades back. These results will help future surveillance and the detection of invading MuVi strains from other countries
No full textMorgagni diaphragmatic hernia only makes up 3-4% of all diaphragmatic hernia cases. (Copied from article)
No full textIn Malaysia, high-speed university growth is confronted with the business climate. The notion of branding was at variance with business research for the university, it should or should not be shown. The purpose of the review is to display the significant impact of brand equity, on Brand awareness, Brand association, Brand Loyalty and Perceived Quality. In this study, one dependent variable and 4 independent variables was tested. Brand equity is defined in this term as the distinction of the firm and what may be the element to be in brand equity. A realistic, non-random sampling technique was made to test the hypothesis of Brand awareness, Brand association, Brand Loyalty and Perceived Quality effect on brand equity. One hundred and sixty-five surveys have been sent across Whatsapp and emails to Klang Valley with different age groups. The responses from the survey were tested by SPSS. To test the reliability (internal consistency) of the data, Cronbach alpha was performed. The data was initially tested for levene test before it has been tested using regression analysis. Then, when the test not violate null hypothesis, regression analysis such as ANOVA was performed. To accept the hypothesis of objective, the person correlation coefficient was performed. The study revealed which Brand awareness, Brand association, Brand Loyalty and Perceived Quality do have huge influence on brand equity. This finding will not only provide a credible basis for the possible service industry, such as colleges. It is also a crucial potential research strategy to boost the brand value for the organization