9,759 research outputs found
Analisis Diskriminan Perilaku Pengambilan Keputusan Ibu-ibu Rumah Tangga Pada Ritel Modern Hypermart Di Pontianak
This research is conducted to find out factors influencing the decision making by the housewives and also to findout whether there are differences in factors influencing the decision making of the groups of housewives who are frequently or seldom to buy products at Hypermart modern retailer in Pontianak. The data is collected through questionaire that is arranged in likert scale and given to 300 respondents who are the consumers of Hypermarket in Pontianak by using purposive sampling technique. The data is then analyzed by using factor analysis technique and discriminant analysis. The result of this research shows that the factors determining the decision making are price, quality, recreational, choices, and the trend. The result of discriminant analysis shows that there are differences in factors determining the decision making in buying between the group that is frequently and the group that is seldom or not frequently in buying products of Hypermart. The defference is caused by the influence of quality and the trend
HELIOS-K: An Ultrafast, Open-source Opacity Calculator for Radiative Transfer
We present an ultrafast opacity calculator that we name HELIOS-K. It takes a
line list as an input, computes the shape of each spectral line and provides an
option for grouping an enormous number of lines into a manageable number of
bins. We implement a combination of Algorithm 916 and Gauss-Hermite quadrature
to compute the Voigt profile, write the code in CUDA and optimise the
computation for graphics processing units (GPUs). We restate the theory of the
k-distribution method and use it to reduce to lines to to wavenumber bins, which may then be used for radiative transfer,
atmospheric retrieval and general circulation models. The choice of line-wing
cutoff for the Voigt profile is a significant source of error and affects the
value of the computed flux by . This is an outstanding physical
(rather than computational) problem, due to our incomplete knowledge of
pressure broadening of spectral lines in the far line wings. We emphasize that
this problem remains regardless of whether one performs line-by-line
calculations or uses the k-distribution method and affects all calculations of
exoplanetary atmospheres requiring the use of wavelength-dependent opacities.
We elucidate the correlated-k approximation and demonstrate that it applies
equally to inhomogeneous atmospheres with a single atomic/molecular species or
homogeneous atmospheres with multiple species. Using a NVIDIA K20 GPU, HELIOS-K
is capable of computing an opacity function with spectral lines in
second and is publicly available as part of the Exoclimes Simulation
Platform (ESP; www.exoclime.org).Comment: Accepted by ApJ. 8 pages, 5 figure
Necessary and sufficient conditions for local creation of quantum correlation
Quantum correlation can be created by a local operation from some initially
classical states. We prove that the necessary and sufficient condition for a
local trace-preserving channel to create quantum correlation is that it is not
a commutativity-preserving channel. This condition is valid for arbitrary
finite dimension systems. We also derive the explicit form of
commutativity-preserving channels. For a qubit, a commutativity-preserving
channel is either a completely decohering channel or a mixing channel. For a
three-dimensional system (qutrit), a commutativity-preserving channel is either
a completely decohering channel or an isotropic channel.Comment: Theorem 2 has been modifie
Analisis Faktor-faktor Store Atmosphere Yang Mempengaruhi Keputusan Pembelian Konsumen Pada Supermarket Dan Departemen Store Kaisar Di Pontianak
This research was conducted to know the variables of store atmosphere which influence the purchasing decision behaviour of Kaisar Supermarket and Department Store visitors. This research was based on primary data collected from questioners distributed to respondents who are active visitors of Kaisar Supermarket and Department Store. The form of the research was descriptive research and the research method was survey method. Data analysis technique used in this research was quantitative analysis technique using factor analysis method. From the research result, the factors which influence the purchasing decision behaviour of Kaisar Supermarket and Department Store consumers were grouped into Product Display and Decoration factor, Store Facility and Layout factor, Store Physical Condition factor, Parking and Security factor, Building Information and Guide factor, Comfortability and Interior factor, Payment System factor and People
Analisis Pengaruh Faktor-faktor Kualitas Pelayanan Ritel Terhadap Minat Membeli Konsumen Pada Ritel Modern Carrefour Di Pontianak
This study is aimed at determining the factors of retail service quality that affect customerpurchase decision on the modern retail Carrefour Pontianak. Data were collected withquestionnaires techniques which are arranged in the form of a Likert Scale to 150respondents who are consumers of modern retail Carrefour in Pontianak by purposivesampling technique. Data collected were then processed with the technique of multipleregression analysis. The study of the five dimensions of retail service quality consisting ofservice personnel, physical aspects, merchandise, confident, and parking, show that the fiveoverall retail service quality dimensions together influence consumer purchasing decisionssignificantly. Partially, the factors that influence consumer purchasing decisions are thedimension of the physical aspect, confident and parking
Sizes of Minimum Connected Dominating Sets of a Class of Wireless Sensor Networks
We consider an important performance measure of wireless sensor networks, namely, the least number of nodes, N, required to facilitate routing between any pair of nodes, allowing other nodes to remain in sleep mode in order to conserve energy. We derive the expected value and the distribution of N for single dimensional dense networks
Lensless high-resolution on-chip optofluidic microscopes for Caenorhabditis elegans and cell imaging
Low-cost and high-resolution on-chip microscopes are vital for reducing cost and improving efficiency for modern biomedicine and bioscience. Despite the needs, the conventional microscope design has proven difficult to miniaturize. Here, we report the implementation and application of two high-resolution (≈0.9 μm for the first and ≈0.8 μm for the second), lensless, and fully on-chip microscopes based on the optofluidic microscopy (OFM) method. These systems abandon the conventional microscope design, which requires expensive lenses and large space to magnify images, and instead utilizes microfluidic flow to deliver specimens across array(s) of micrometer-size apertures defined on a metal-coated CMOS sensor to generate direct projection images. The first system utilizes a gravity-driven microfluidic flow for sample scanning and is suited for imaging elongate objects, such as Caenorhabditis elegans; and the second system employs an electrokinetic drive for flow control and is suited for imaging cells and other spherical/ellipsoidal objects. As a demonstration of the OFM for bioscience research, we show that the prototypes can be used to perform automated phenotype characterization of different Caenorhabditis elegans mutant strains, and to image spores and single cellular entities. The optofluidic microscope design, readily fabricable with existing semiconductor and microfluidic technologies, offers low-cost and highly compact imaging solutions. More functionalities, such as on-chip phase and fluorescence imaging, can also be readily adapted into OFM systems. We anticipate that the OFM can significantly address a range of biomedical and bioscience needs, and engender new microscope applications
An Evidence Based Time-Frequency Search Method for Gravitational Waves from Pulsar Glitches
We review and expand on a Bayesian model selection technique for the
detection of gravitational waves from neutron star ring-downs associated with
pulsar glitches. The algorithm works with power spectral densities constructed
from overlapping time segments of gravitational wave data. Consequently, the
original approach was at risk of falsely identifying multiple signals where
only one signal was present in the data. We introduce an extension to the
algorithm which uses posterior information on the frequency content of detected
signals to cluster events together. The requirement that we have just one
detection per signal is now met with the additional bonus that the belief in
the presence of a signal is boosted by incorporating information from adjacent
time segments.Comment: 6 pages, 4 figures, submitted to AMALDI 7 proceeding
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