Abstract: Results of Chilean wine classification based on the
information provided by an electronic nose are reported in this paper.
The classification scheme consists of two parts; in the first stage,
Principal Component Analysis is used as feature extraction method to
reduce the dimensionality of the original information. Then, Radial
Basis Functions Neural Networks is used as pattern recognition
technique to perform the classification. The objective of this study is
to classify different Cabernet Sauvignon, Merlot and Carménère wine
samples from different years, valleys and vineyards of Chile.
Abstract: This research work is aimed at speech recognition
using scaly neural networks. A small vocabulary of 11 words were
established first, these words are “word, file, open, print, exit, edit,
cut, copy, paste, doc1, doc2". These chosen words involved with
executing some computer functions such as opening a file, print
certain text document, cutting, copying, pasting, editing and exit.
It introduced to the computer then subjected to feature extraction
process using LPC (linear prediction coefficients). These features are
used as input to an artificial neural network in speaker dependent
mode. Half of the words are used for training the artificial neural
network and the other half are used for testing the system; those are
used for information retrieval.
The system components are consist of three parts, speech
processing and feature extraction, training and testing by using neural
networks and information retrieval.
The retrieve process proved to be 79.5-88% successful, which is
quite acceptable, considering the variation to surrounding, state of
the person, and the microphone type.
Abstract: Transport and land use are two systems that are
mutually influenced. Their interaction is a complex process
associated with continuous feedback. The paper examines the
existing land use around an under construction metro station of the
new metro network of Thessaloniki, Greece, through the use of field
investigations, around the station-s predefined location. Moreover,
except from the analytical land use recording, a sampling
questionnaire survey is addressed to several selected enterprises of
the study area. The survey aims to specify the characteristics of the
enterprises, the trip patterns of their employees and clients, as well as
the stated preferences towards the changes the new metro station is
considered to bring to the area. The interpretation of the interrelationships
among selected data from the questionnaire survey takes
place using the method of Principal Components Analysis for
Categorical Data. The followed methodology and the survey-s results
contribute to the enrichment of the relevant bibliography concerning
the way the creation of a new metro station can have an impact on the
land use pattern of an area, by examining the situation before the
operation of the station.
Abstract: Nowadays it is a trend for electronic circuit designers to
integrate all system components on a single-chip. This paper proposed
the design of a single-chip proportional to absolute temperature
(PTAT) sensor including a voltage reference circuit using CEDEC
0.18m CMOS Technology. It is a challenge to design asingle-chip
wide range linear response temperature sensor for many applications.
The channel widths between the compensation transistor and the
reference transistor are critical to design the PTAT temperature sensor
circuit. The designed temperature sensor shows excellent linearity
between -100°C to 200° and the sensitivity is about 0.05mV/°C.
The chip is designed to operate with a single voltage source of 1.6V.
Abstract: The trial in the city, located 170 kilometers from the
Iranian city of Ahvaz was Omidiyeh. The main factor in this project
includes 4 levels in control (without hormones), use of hormones in
the seed, vegetative and flowering stage respectively. And sub-plots
included 3 varieties of vetch in three levels, with local names, was the
jewel in the study of light and Auxin in the vegetative and
reproductive different times in different varieties of vetch was
investigated. This test has been taken in the plots in a randomized
complete block with four replications. In order to study the effects of
the hormone Auxin in the growth stages (seed, vegetative and
flowering) to control (no hormone Auxin) on three local varieties of
vetch, the essence of light and plant height, number of pods per plant,
seed number The pods, seeds per plant, grain weight, grain yield,
plant dry weight and protein content were measured. Among the
vetch varieties for plant height, number of pods per plant, a seed per
plant, grain weight, grain yield, and plant dry weight and protein
levels of 1 percent of plant and seed number per pod per plant at 5%
level of There was no significant difference. Interactions for grain
yield per plant, grain yield and protein levels of 1 percent and the
number of seeds per pod and seed weight are significant differences
in levels 5 and plant height and plant dry weight of the interaction
were INFLUENCE There was no significant difference in them.
Abstract: The traditional Failure Mode and Effects Analysis
(FMEA) uses Risk Priority Number (RPN) to evaluate the risk level
of a component or process. The RPN index is determined by
calculating the product of severity, occurrence and detection indexes.
The most critically debated disadvantage of this approach is that
various sets of these three indexes may produce an identical value of
RPN. This research paper seeks to address the drawbacks in
traditional FMEA and to propose a new approach to overcome these
shortcomings. The Risk Priority Code (RPC) is used to prioritize
failure modes, when two or more failure modes have the same RPN.
A new method is proposed to prioritize failure modes, when there is a
disagreement in ranking scale for severity, occurrence and detection.
An Analysis of Variance (ANOVA) is used to compare means of
RPN values. SPSS (Statistical Package for the Social Sciences)
statistical analysis package is used to analyze the data. The results
presented are based on two case studies. It is found that the proposed
new methodology/approach resolves the limitations of traditional
FMEA approach.
Abstract: Software reliability prediction gives a great opportunity to measure the software failure rate at any point throughout system test. A software reliability prediction model provides with the technique for improving reliability. Software reliability is very important factor for estimating overall system reliability, which depends on the individual component reliabilities. It differs from hardware reliability in that it reflects the design perfection. Main reason of software reliability problems is high complexity of software. Various approaches can be used to improve the reliability of software. We focus on software reliability model in this article, assuming that there is a time redundancy, the value of which (the number of repeated transmission of basic blocks) can be an optimization parameter. We consider given mathematical model in the assumption that in the system may occur not only irreversible failures, but also a failure that can be taken as self-repairing failures that significantly affect the reliability and accuracy of information transfer. Main task of the given paper is to find a time distribution function (DF) of instructions sequence transmission, which consists of random number of basic blocks. We consider the system software unreliable; the time between adjacent failures has exponential distribution.
Abstract: Complex networks have been intensively studied across
many fields, especially in Internet technology, biological engineering,
and nonlinear science. Software is built up out of many interacting
components at various levels of granularity, such as functions, classes,
and packages, representing another important class of complex networks.
It can also be studied using complex network theory. Over the
last decade, many papers on the interdisciplinary research between
software engineering and complex networks have been published.
It provides a different dimension to our understanding of software
and also is very useful for the design and development of software
systems. This paper will explore how to use the complex network
theory to analyze software structure, and briefly review the main
advances in corresponding aspects.
Abstract: The RR interval series is non-stationary and unevenly
spaced in time. For estimating its power spectral density (PSD) using
traditional techniques like FFT, require resampling at uniform
intervals. The researchers have used different interpolation
techniques as resampling methods. All these resampling methods
introduce the low pass filtering effect in the power spectrum. The
lomb transform is a means of obtaining PSD estimates directly from
irregularly sampled RR interval series, thus avoiding resampling. In
this work, the superiority of Lomb transform method has been
established over FFT based approach, after applying linear and
cubicspline interpolation as resampling methods, in terms of
reproduction of exact frequency locations as well as the relative
magnitudes of each spectral component.
Abstract: This study was conducted Ismailoglu grape type (Vitis
vinifera L.) and its vine which was aged 15 was grown on its own
root in a vegetation period of 2013 in Nevşehir province in Turkey.
In this research, it was investigated whether the applications of
Control (C), 1/3 cluster tip reduction (1/3 CTR), shoot tip reduction
(STR), 1/3 CTR + STR, TKI-HUMAS (TKI-HM) (Soil) (S), TKIHM
(Foliar) (F), TKI-HM (S + F), 1/3 CTR + TKI-HM (S), 1/3 CTR
+ TKI-HM (F), 1/3 CTR + TKI-HM (S+F), STR + TKI-HM (S), STR
+ TKI-HM (F), STR + TKI-HM (S + F), 1/3 CTR + STR+TKI-HM
(S), 1/3 CTR + STR + TKI-HM (F), 1/3 CTR + STR + TKI-HM (S +
F) on yield and yield components of Ismailoglu grape type. The
results were obtained as the highest fresh grape yield (16.15 kg/vine)
with TKI-HM (S), as the highest cluster weight (652.39 g) with 1/3
CTR + STR, as the highest 100 berry weight (419.07 g) with 1/3
CTR + STR + TKI-HM (F), as the highest maturity index (44.06)
with 1/3 CTR, as the highest must yield (810.00 ml) with STR +
TKI-HM (F), as the highest intensity of L* color (42.04) with TKIHM
(S + F), as the highest intensity of a* color (2.60) with 1/3 CTR
+ TKI-HM (S), as the highest intensity of b* color (7.16) with 1/3
CTR + TKI-HM (S) applications. To increase the fresh grape yield of
Ismailoglu grape type can be recommended TKI-HM (S) application.
Abstract: Researches related to standard product model and
development of neutral manufacturing interfaces for numerical
control machines becomes a significant topic since the last 25 years.
In this paper, a detail description of STEP implementation on turnmill
manufacturing has been discussed. It shows requirements of
information contents from ISO14649 data model. It covers to
describe the design of STEP-NC framework applicable to turn-mill
manufacturing. In the framework, EXPRESS-G and UML modeling
tools are used to depict the information contents of the system and
established the bases of information model requirement. A product
and manufacturing data model applicable for STEP compliant
manufacturing. The next generation turn-mill operations
requirements have been represented by a UML diagram. An object
oriented classes of ISO1449 has been developed on Visual Basic dot
NET platform for binding the static information model represented
by the UML diagram. An architect of the proposed system
implementation has been given on the bases of the design and
manufacturing module of STEP-NC interface established. Finally, a
part 21 file process plan generated for an illustration of turn-mill
components.
Abstract: This paper reports the evolving properties of a 3 mm low carbon steel plate after Laser Beam Forming achieve this objective, the chemical analyse material and the formed components were carried thereafter both were characterized through microhardness profiling microstructural evaluation and tensile testing. showed an increase in the elemental concentration of the component when compared to the as received attributed to the enhancement property of the LBF process Ultimate Tensile Strength (UTS) and the Vickers the formed component shows an increase when compared to the as received material, this was attributed to strain hardening and grain refinement brought about by the LBF process. The microstructure of the as received steel consists of equiaxed ferrit that of the formed component exhibits elongated orming process (LBF). To es of the as received out and compared; profiling, The chemical analyses formed material; this can be process. The microhardness of ferrite and pearlite while grains.
Abstract: The need to implement intelligent highways is much
more emphasized with the growth of vehicle production line as well as vehicle intelligence. The control of intelligent vehicles in order to
reduce human error and boost ease congestion is not accomplished solely by the aid of human resources. The present article is an attempt
to introduce an intelligent control system based on a single central computer. In this project, central computer, without utilizing Global
Positioning System (GPS), is capable of tracking all vehicles, crisis management and control, traffic guidance and recording traffic
crimes along the highway. By the help of RFID technology, vehicles
are connected to computerized systems, intelligent light poles and
other available hardware along the way. By the aid of Wimax
communicative technology, all components of the system are
virtually connected together through local and global networks
devised in them and the energy of the network is provided by the
solar cells installed on the intelligent light poles.
Abstract: This paper deals with the current space-vector
decomposition in three-phase, three-wire systems on the basis of
some case studies. We propose four components of the current spacevector
in terms of DC and AC components of the instantaneous
active and reactive powers. The term of supplementary useless
current vector is also pointed out. The analysis shows that the current
decomposition which respects the definition of the instantaneous
apparent power vector is useful for compensation reasons only if the
supply voltages are sinusoidal. A modified definition of the
components of the current is proposed for the operation under
nonsinusoidal voltage conditions.
Abstract: Abrasive Jet Machining is an Unconventional
machining process in which the metal is removed from brittle and
hard material in the form of micro-chips. With increase in need of
materials like ceramics, composites, in manufacturing of various
Mechanical & Electronic components, AJM has become a useful
technique for micro machining. The present study highlights the
influence of different parameters like Pressure, SOD, Time, Abrasive
grain size, nozzle diameter on the Metal removal of FRP (Fiber
Reinforced Polymer) composite by Abrasive jet machining. The
results of the Experiments conducted were analyzed and optimized
with TAGUCHI method of Optimization and ANOVA for Optimal
Value.
Abstract: Virtually all existing networked system management
tools use a Manager/Agent paradigm. That is, distributed agents are
deployed on managed devices to collect local information and report
it back to some management unit. Even those that use standard
protocols such as SNMP fall into this model. Using standard protocol
has the advantage of interoperability among devices from different
vendors. However, it may not be able to provide customized
information that is of interest to satisfy specific management needs.
In this dissertation work, different approaches are used to
collect information regarding the devices attached to a Local Area
Network. An SNMP aware application is being developed that will
manage the discovery procedure and will be used as data collector.
Abstract: Texture classification is a trendy and a catchy
technology in the field of texture analysis. Textures, the repeated
patterns, have different frequency components along different
orientations. Our work is based on Texture Classification and its
applications. It finds its applications in various fields like Medical
Image Classification, Computer Vision, Remote Sensing,
Agricultural Field, and Textile Industry. Weed control has a major
effect on agriculture. A large amount of herbicide has been used for
controlling weeds in agriculture fields, lawns, golf courses, sport
fields, etc. Random spraying of herbicides does not meet the exact
requirement of the field. Certain areas in field have more weed
patches than estimated. So, we need a visual system that can
discriminate weeds from the field image which will reduce or even
eliminate the amount of herbicide used. This would allow farmers to
not use any herbicides or only apply them where they are needed. A
machine vision precision automated weed control system could
reduce the usage of chemicals in crop fields. In this paper, an
intelligent system for automatic weeding strategy Multi Resolution
Combined Statistical & spatial Frequency is used to discriminate the
weeds from the crops and to classify them as narrow, little and broad
weeds.
Abstract: the current study presents a modeling framework to determine the torsion strength of an induction hardened splined shaft by considering geometry and material aspects with the aim to optimize the static torsion strength by selection of spline geometry and hardness depth. Six different spline geometries and seven different hardness profiles including non-hardened and throughhardened shafts have been considered. The results reveal that the torque that causes initial yielding of the induction hardened splined shaft is strongly dependent on the hardness depth and the geometry of the spline teeth. Guidelines for selection of the appropriate hardness depth and spline geometry are given such that an optimum static torsion strength of the component can be achieved.
Abstract: In this work the design and characterization of an optoelectronic automated measurement system it is presented. The optoelectronic devices of this system are an optical transmitter, the optical components and the optical receiver, which were selected for a great precision of the system. The mechanical system allows free displacement of the components as well as the devices that generate the movement. The results, length and profile of the objects are display in Lab View.
Abstract: We developed a GPS-based navigation device for the
blind, with audio guidance in Thai language. The device is composed
of simple and inexpensive hardware components. Its user interface is
quite simple. It determines optimal routes to various landmarks in our
university campus by using heuristic search for the next waypoints.
We tested the device and made note of its limitations and possible
extensions.