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Writing the abstract part one: briefly introducing the background, objective and methodology : ,

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Title: Writing the abstract part one: briefly introducing the background, objective and methodology : ,


1
Writing the abstract (part one) briefly
introducing the background, objective and
methodology ????( ????) ????,?????
?????????????????
2
Writing the first part of the abstract comprises
the following partsSetting of work proposal
?????? ???????????? ???????????? ????? Work
problem ???? ????????????????????????????
3
Work objective ???? ??????? ?Methodology to
achieve objective ?????????????
4
Setting of work proposal ?????? What is the
topic of interest that your work proposal is
concerned with? Can you point the reader of your
work proposal to the general area which you are
concerned with????????????? ?????????????????
Consider the following examples
5
  • A decision-making environment is increasingly
    complex.
  • Consumer demand on the water supply in southern
    Taiwan has significantly increased in recent
    years owing to population and industrial growth,
    as well as elevated living standards.

6
  • Statistical approaches such as scored methods are
    extensively used to optimize the process
    parameters of ordered categorical responses.
  • Process quality and delivery time have received
    increasing emphasis in industry.

7
  • Process capability index is a highly effective
    means of evaluating process performance.
  • Enterprises trade with each other by carefully
    considering business ratings to reduce investment
    risks.

8
  • An increasing number of wafer fabs use a control
    chart to detect assignable causes, making it
    extremely difficult for engineers to effectively
    control the wafer process.
  • Predicting the amount of residuals in ground
    water contaminants has been extensively studied.
  • Owing to their lowest density among all metallic
    structural materials, magnesium alloys are highly
    promising for their diverse use in the
    automotive, railway, aerospace, computer,
    communications and consumer electronics
    industries.

9
Work problem ???? What is the problem that you
are trying either to solve or more thoroughly
understand in the work proposal?
????????????????????????????
10
  • Conventional evaluation models are concerned only
    with economic factors and neglect factors that
    can not be evaluated by money.
  • Although the reservoir supply in southern Taiwan
    can satisfy the current water demand, increasing
    demands will soon surpass the reservoirs
    capabilities.

11
  • These methods inaccurately estimate the
    dispersion effect, thereby confounding the
    location effect and dispersion effect.
  • Conventional process capability indices(PCIs) are
    unable not only to objectively assess quality and
    delivery time, but also to identify how PCIs and
    yield rate are related.

12
  • Conventional process capability indices can not
    measure a non-normal distribution process
    accurately.
  • Conventional mathematic models have difficulty in
    discriminating between multiple ranks.

13
  • Conventional control charts are designed for
    manufacturing systems with only one source of
    variation, making it impossible to control
    several independent sources of variation.
  • These alloys have a low formability near room
    temperature and are more expensive than plastics,
    aluminum, steel and cast iron.

14
Work objective ???? What is the objective of
your work proposal? ??????? ?Consider the
following examples
  • This work develops an optimal operating model
    capable of choosing an effective monitor well to
    adequately control a groundwater system

15
  • This study develops a process capability index
    that adopts the Clements and Bootstrap methods
    to overcome such obstacles
  • This work designs an optimization model capable
    of effectively managing water resources for
    current reservoirs in order to decrease the
    probability of water shortages

16
  • This work constructs an efficient quality control
    process capable of detecting assignable causes
    concealed behind multiple characteristics and
    multiple readings in a manufacturing system with
    several sources of variation
  • This work develops a NAPL simulator model that
    contains several parameters acquired by
    experimental data
  • This work develops a flexible and accurate neural
    network structure that applies artificial
    intelligence in fuzzy theory to business ratings
    and bankruptcy prediction

17
  • This study develops an efficient response surface
    method capable of optimizing ordered categorical
    data process parameters since setting the process
    parameters in a continuous level leads to
    optimization of the location and dispersion
    effects
  • This study develops an efficient hypothesis
    testing procedure for PCIS, capable of assessing
    the performance of operational cycle time (OCT)
    and delivery time (DT) for VLSI

18
Methodology to achieve objective What are the
steps in your project to achieve the above
objective? ?????????????Consider the following
examples
19
  • Natural gas bus brands are selected via the model
    by performing cost effectiveness analysis. Each
    criterion is also evaluated under cost and
    effectiveness categories. Two methodologies of
    multiple attribute decision making (MADM),
    technique for order preference by similarity to
    ideal solution (TOPSIS) and analytic hierarchy
    process (AHP), are then used to rank all viable
    alternatives to bus systems from a complete
    perspective.

20
  • This novel method with simplified calculations in
    mean and standard deviation of ordered
    categorical responses is used to estimate the
    location and dispersion effects. Additionally,
    regression models are used to correlate the
    location effect in terms of the controlled factor
    levels with the dispersion effect in terms of the
    controlled factor levels. An optimal level
    combination of process parameters is also
    obtained using the dual response surface
    methodology.

21
  • The PCIs of OCT and DT are defined, and the UMVU
    (uniformly minimum variance) estimators of the
    studied PCIs are derived under the assumption of
    a normal distribution. The above estimators are
    then used to construct the one-to-one
    relationship between the PCIs and conforming rate
    of DT (or OCT). Finally, a hypothesis testing
    procedure of PCIs is developed.

22
  • Voltage-current characteristics (VIC),
    voltage-capacity characteristic (VCC) and
    capacity-modulated spectra for barrier structures
    are measured at various irradiation doses, thus
    providing the preliminary experimental data.
    Based on that data, the control parameters are
    then derived. Following Hall experiments to
    consider bulk effects, the parametric changes are
    analyzed and synthesized.

23
  • Crucial assumptions are presented. The wave
    functions of exoelectron at the initial and final
    states are then chosen. After the matrix element
    of the transition is derived, the parameters of
    the obtained energy spectra are calculated.

24
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