159 research outputs found
An experimental study of pressure drop characteristics in vertical upward two phase and three phase flows
Master'sMASTER OF ENGINEERIN
Studies in molecular structure, symmetry and conformation VI. Crystal and molecular structure of 1-aminocyclopentane carboxylic acid monohydrate
1-aminocyclopentane carboxylic acid monohydrate is monoclinic: space group P 2 1 / c , a = 11·24, b = 6·27, c = 11·22 Å and β = 97·6 °. The crystal structure was solved by the symbolic addition method and refined to an R factor of 12·1%. The cyclopentane ring is disordered; one of the carbon atoms exists in two alternative sites, leading to two possible conformations both of which are of the envelope type.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44835/1/10870_2005_Article_BF01245860.pd
The Threads of Biosystems Engineering
The core concepts, or threads, of Biosystems Engineering (BSEN) are variously
understood by those within the
discipline, but have never been unequivocally defined due to
its
early
stage of development. This makes communication and teaching difficult compared to other well
established engineering subjects.
Biosystems Engineering is a field of Engineering which int
egrates engineering science and design
with applied biological, environmental and agricultural sciences. It represents an evolution of the
Agricultural Engineering discipline applied to all living organisms not including biomedical
applications.
The basic
key element for the emerging EU Biosystems Engineering program of studies is to ensure
that it offers essential minimum fundamental engine
ering knowledge and competences
.
A
core
curriculum
developed by Erasmus Thematic Networks
is
used as benchmark for Agr
icultural and
Biosystems Engineering studies in Europe.
The common basis of the core curriculum for the
discipline across the Atlantic
,
including a minimum of competences comprising the Biosystems
Engineering core competencies,
has been defined by an Atlan
tis project
, but this needs to be taken
further by defining the threads linking
courses together.
This
paper presents a structured approach to define the Threads of
BSEN
. The definition of the mid-level competences and the associated learning outcomes has
been one of the objectives of the
Atlantis programme TABE.NET. The mid-level competences and learning outcomes for each of six
specializations
of BSEN are defined while the domain-specific knowledge to be acquired for each
outcome is proposed. Once the proposed definitions are adopted, these threads will be available for
global development of the BSEN
Novel INS/GPS Fusion Architecture for Aircraft Navigation
In this paper, we address the issue of aircraft
navigational state estimation from the perspective of (i) aircraft attitude estimation, also called as the attitude heading reference system (AHRS), and (ii) estimating the full inertial solution of the aircraft (position, velocity & attitude), also known as inertial navigation system-global positioning system (INS/GPS) fusion, in the presence of accelerometer and gyroscopic bias. A suite of nonlinear filters; two Kalman filter (KF) based — extended and
unscented Kalman filter (EKF, UKF) and a non-KF based filter
that is the nonlinear complementary filter (NCF) on the SO(3) group, are studied and evaluated for the AHRS. In this paper we propose a novel INS/GPS fusion architecture that demonstrated a significant improvement in performance over the conventional KF based schemes, in tests done on realistic simulated aircraft data. In the proposed architecture, the attitude estimation is decoupled from the position and velocity estimation, by exploiting the NCF as it is known for its superior attitude and gyroscopic
bias estimation performance. The position and velocity estimation is carried out by a conventional EKF. The crucial difference between KF based schemes and the NCF for attitude estimation is in the generation of the measurement set, which involves trigonometric inverses and are susceptible to singularities for KF based schemes, which the NCF avoids. Furthermore, the NCF algorithm is faster and computationally more efficient than a KF algorithm scheme since the NCF does not involve the computation
of matrix inverses like KF based schemes
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