88,724 research outputs found
PENGAMATAN KESEGARAN PADA IKAN MUJAIR
Method of catching, type and size of fish, movement of fish, weather and condition of fish before catching are factors that affect fish freshness. Fish freshness can be determined physically (organoleptic/sensory), physically and microbiologically. The decline in fish quality can be seen from the speed of entering the rigor mortis phase. The rigor mortis phase is the process of convulsing the organs in the fish's body due to the flow of oxygen in the fish's body tissues. Fish that move quickly and fish that are "sick" enter the rigor mortis phase and decay more quickly. Post-harvest handling greatly determines the freshness or quality of aquatic commodities. One of the postharvest handling that is often applied is cooling and freezing.Cara penangkapan, jenis dan ukuran ikan, pergerakan ikan, cuaca dan keadaan ikan sebelum penangkapan merupakan faktorfaktor yang mempengaruhi kesegaran ikan. Kesegaran ikan dapat ditentukan secara fisik (organoleptik/sensori), fisik maupun mikrobiologis. Kemunduran mutu ikan dapat dilihat dari kecepatan memasuki fase rigor mortis. Fase rigor mortis adalah proses mengejangnya organ-organ dalam tubuh ikan akibat berhentinya aliran oksigen dalam jaringan tubuh ikan. Ikan yang cepat pergerakannya dan ikan yang "sakit" lebih cepat memasuki fase rigor mortis dan pembusukan. Penanganan pasca panen sangat menentukan kesegaran atau mutu dari komoditas perairan. Salah satu penanganan pasca panen yang sering diterapkan adalah pendinginan dan pembekuan
Computer code for preliminary sizing analysis of axial-flow turbines
This mean diameter flow analysis uses a stage average velocity diagram as the basis for the computational efficiency. Input design requirements include power or pressure ratio, flow rate, temperature, pressure, and rotative speed. Turbine designs are generated for any specified number of stages and for any of three types of velocity diagrams (symmetrical, zero exit swirl, or impulse) or for any specified stage swirl split. Exit turning vanes can be included in the design. The program output includes inlet and exit annulus dimensions, exit temperature and pressure, total and static efficiencies, flow angles, and last stage absolute and relative Mach numbers. An analysis is presented along with a description of the computer program input and output with sample cases. The analysis and code presented herein are modifications of those described in NASA-TN-D-6702. These modifications improve modeling rigor and extend code applicability
Analytical and numerical computation of air-gap magnetic fields in brushless motors with surface permanent magnets
This paper extends the theory of the air-gap magnetic field in permanent-magnet (PM) brushless motors. Scalar and vector potential solutions to the field equations are brought together to unify many of the important practical methods already in use. The theory admits a more general representation of the magnetization vector than has been previously assumed, including both the radial and tangential components, and variation with radius. The work is applied in the design of PM motors where there is a requirement to minimize noise and torque ripple, and maximize efficiency, and a continuing need for improvements in the accuracy and rigor of design calculations. The air-gap flux-density distribution is at the heart of the design process, and it is desirable to study different magnetization patterns, including imperfections in the magnetization, for a wide range of magnet shapes. This paper shows the application of the analytical solutions in comparison with a new finite-element procedure, with test results on a prototype motor, and with simpler, older methods of calculation based on magnetic equivalent circuits. The comparison brings out many interesting points in relation to the accuracy and the speed and practicality of the various methods
Field Line Universal relaXer (FLUX): A Fluxon Approach to Coronal Magnetic Field Modeling
We describe a novel method for modeling the global, steady solar wind using
photospheric magnetic fields as a driving boundary condition. Prior wind models
in this class include both rapid heuristic methods that use potential field
extrapolation and variants thereof, trading rigor for computation speed, and
detailed 3D magnetohydrodynamic (MHD) models that attempt to simulate the
entire solar corona with a degree of physical rigor, but require large amounts
of computation. The Field Line Universal relaXer (FLUX), an open-source
numerical code which implements the 'fluxon' semi-lagrangian approach to MHD
modeling, provides an intermediate approach between these two general classes.
In particular, the fluxon approach to MHD describes the magnetic field through
discrete analogues of magnetic field lines, relaxing these structures to a
stationary state of force balance. In this work we introduce a one-dimensional
solar wind solution along each fieldline, providing an ensemble of solutions
that are interpolated back onto a uniform grid at an outer boundary surface.
This provides advantages in physical rigor over heuristic semi-analytic
techniques, and in computational efficiency over full 3D MHD techniques. Here
we describe the underlying methodology and the FLUXPipe modeling pipeline
process.Comment: 11 pages, 10 figures. Accepted for publication in Ap
The State of State Science Standards 2012
American science performance is lagging as the economy becomes increasingly high tech, but our current science standards are doing little to solve the problem. Reviewers evaluated science standards for every state for this report and their findings were deeply troubling: The majority of states earned Ds or Fs for their standards in this crucial subject, with only six jurisdictions receiving As. Explore all the state report cards and see how your state performed
Arctic marine climate of the early nineteenth century
The climate of the early nineteenth century is likely to have been significantly cooler than that of today, as it was a period of low solar activity (the Dalton minimum) and followed a series of large volcanic eruptions. Proxy reconstructions of the temperature of the period do not agree well on the size of the temperature change, so other observational records from the period are particularly valuable. Weather observations have been extracted from the reports of the noted whaling captain William Scoresby Jr., and from the records of a series of Royal Navy expeditions to the Arctic, preserved in the UK National Archives. They demonstrate that marine climate in 1810 - 1825 was marked by consistently cold summers, with abundant sea-ice. But although the period was significantly colder than the modern average, there was considerable variability: in the Greenland Sea the summers following the Tambora eruption (1816 and 1817) were noticeably warmer, and had less sea-ice coverage, than the years immediately preceding them; and the sea-ice coverage in Lancaster Sound in 1819 and 1820 was low even by modern standards. © 2010 Author(s)
What makes for effective detection proposals?
Current top performing object detectors employ detection proposals to guide
the search for objects, thereby avoiding exhaustive sliding window search
across images. Despite the popularity and widespread use of detection
proposals, it is unclear which trade-offs are made when using them during
object detection. We provide an in-depth analysis of twelve proposal methods
along with four baselines regarding proposal repeatability, ground truth
annotation recall on PASCAL, ImageNet, and MS COCO, and their impact on DPM,
R-CNN, and Fast R-CNN detection performance. Our analysis shows that for object
detection improving proposal localisation accuracy is as important as improving
recall. We introduce a novel metric, the average recall (AR), which rewards
both high recall and good localisation and correlates surprisingly well with
detection performance. Our findings show common strengths and weaknesses of
existing methods, and provide insights and metrics for selecting and tuning
proposal methods.Comment: TPAMI final version, duplicate proposals removed in experiment
An ES process framework for understanding the strategic decision making process of ES implementations
Enterprise systems (ES) implementations are regarded costly, time and resource consuming and have a
great impact on the organization in terms of the risks they involve and the opportunities they provide. The
steering committee (SC) represents the group of individuals who is responsible for making strategic
decisions throughout the ES implementation lifecycle. It is evident from recent studies that there is a
relationship between the decision making process and ES implementation success. One of the key
elements that contribute to the success of ES implementations is a quick decision making process (Brown
and Vessey, 1999; Gupta, 2000; Parr, et al., 1999). This study addresses the strategic decision-making
process by SC through its focus on four research questions (1) How can the strategic decision-making
process in the implementation of ES be better understood, during each phase of the ES implementation
lifecycle? (2) What is the process by which the SC makes strategic decisions? (3) How are fast decisions
made? and (4) How does decision speed link to the success of ES implementation? Process models of ES
implementation will provide a framework to investigate the strategic decision making process during each
phases of the ES implementation lifecycle. Patterns in the decision making process will be explored using
strategic choice models. This study develops a research model that focuses on the decision making
process by steering committee to explore research questions. It concludes with identifying contributions
to both IS research and business practitioners
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