Abstract: In today-s competitive market, most companies
develop manufacturing systems that can help in cost reduction and
maximum quality. Human issues are an important part of
manufacturing systems, yet most companies ignore their effects on
production performance. This paper aims to developing an integrated
workforce planning system that incorporates the human being.
Therefore, a multi-objective mixed integer nonlinear programming
model is developed to determine the amount of hiring, firing,
training, overtime for each worker type. This paper considers a
workforce planning model including human aspects such as skills,
training, workers- personalities, capacity, motivation, and learning
rates. This model helps to minimize the hiring, firing, training and
overtime costs, and maximize the workers- performance. The results
indicate that the workers- differences should be considered in
workforce scheduling to generate realistic plans with minimum costs.
This paper also investigates the effects of human learning rates on the
performance of the production systems.
Abstract: The present paper is a case study about exploitation of
Kheir Abad river (Khoozestan, Iran) water resources and the
problems caused by river sediments around the pumping stations.
The weak points and strong points of Boneh Basht pumping station
have been studied by experienced experts, work teams, and
consulting engineers and technical and executive solutions have been
suggested. Therefore, the suggestions of this article are based on the
performed studies and are proposed in order to evaluate the logical
solutions.
Rather complicated processes resulting from the interaction of
water flows and sediments observed at Boneh Basht pumping station
occur at other pumping stations in almost the same way. Therefore,
Boneh Basht pumping station can be selected as a sample (pilot) and
up-to-date theories and experiences can be applied to this station and
the results can be offered to other stations.
Abstract: Learning using labeled and unlabelled data has
received considerable amount of attention in the machine learning
community due its potential in reducing the need for expensive
labeled data. In this work we present a new method for combining
labeled and unlabeled data based on classifier ensembles. The model
we propose assumes each classifier in the ensemble observes the
input using different set of features. Classifiers are initially trained
using some labeled samples. The trained classifiers learn further
through labeling the unknown patterns using a teaching signals that is
generated using the decision of the classifier ensemble, i.e. the
classifiers self-supervise each other. Experiments on a set of object
images are presented. Our experiments investigate different classifier
models, different fusing techniques, different training sizes and
different input features. Experimental results reveal that the proposed
self-supervised ensemble learning approach reduces classification
error over the single classifier and the traditional ensemble classifier
approachs.
Abstract: To coop with urbanization issues and the economic need for expansion, the city of Jakarta is planning to reclaim more land in the Jakarta Bay. However, the reclamation activities of some islands have barely started and already the developers are facing difficulties in finding sufficient quantities of sand as fill material. When addressing the problem of sand scarcity in the case of Jakarta where, an excess of waste production, an inadequate solid waste management system and a lack of dumping ground pose a major problem, it is hard not to think of the use of waste as alternative fill material. This paper analyses the possibilities of using waste in the land reclamation projects, considering the governmental, social, environmental and economic context of the city. The results identify types of waste that could be used, ways of using those types of waste and implementation conditions for the city of Jakarta.
Abstract: Electronic banking must be secure and easy to use and
many banks heavily advertise an apparent of 100% secure system
which is contestable in many points. In this work, an alternative
approach to the design of e-banking system, through a new solution
for user authentication and security with digital certificate called
LumaCert is introduced. The certificate applies new algorithm for
asymmetric encryption by utilizing two mathematical operators
called Pentors and UltraPentors. The public and private key in this
algorithm represent a quadruple of parameters which are directly
dependent from the above mentioned operators. The strength of the
algorithm resides in the inability to find the respective Pentor and
UltraPentor operator from the mentioned parameters.
Abstract: In the upgrade process of enterprise information
systems, how to deal with and utilize those legacy systems affects the
efficiency of construction and development of the new system. We
propose an evaluation system, which comprehensively describes the
capacity of legacy information systems in five aspects. Then we
propose a practical legacy systems evaluation method. Base on the
evaluation result, we can determine the current state of legacy system
which was evaluated.
Abstract: The main objectives of this study were to identify
attributes that influence customer satisfaction and determine their
relationships with customer satisfaction. The variables included in
this research are place/ambience, food quality and service quality as
independent variables and customer satisfaction as the dependent
variable. A survey questionnaire which consisted of three parts to
measure demographic factors, independent variables, and dependent
variables was constructed based on items determined by past
research. 149 respondents from one of the well known hotel in Kuala
Lumpur, MALAYSIA were selected as a sample. Psychometric
testing was conducted to determine the reliability and validity of the
questionnaire. From the findings, there were positive significant
relationship between place/ambience (r=0.563**, p=0.000) and
service quality (r=0.544**, p=0.000) with customer satisfaction.
However, although relationship between food quality and customer
satisfaction was significant, it was in the negative direction (r=-
0.268**, p=0.001). New findings were discovered after conducting
this research and previous research findings were strengthened by the
results of this research. Future researchers could concentrate on
determining attributes that influence customer satisfaction when
cost/price is not a factor and reasons for place/ambience is currently
becoming the leading factor in determining customer satisfaction.
Abstract: In this paper, different nonlinear dynamics analysis techniques are employed to unveil the rich nonlinear phenomena of the electromagnetic system. In particular, bifurcation diagrams, time responses, phase portraits, Poincare maps, power spectrum analysis, and the construction of basins of attraction are all powerful and effective tools for nonlinear dynamics problems. We also employ the method of Lyapunov exponents to show the occurrence of chaotic motion and to verify those numerical simulation results. Finally, two cases of a chaotic electromagnetic system being effectively controlled by a reference signal or being synchronized to another nonlinear electromagnetic system are presented.
Abstract: Economic models are complex dynamic systems with a lot of uncertainties and fuzzy data. Conventional modeling approaches using well known methods and techniques cannot provide realistic and satisfactory answers to today-s challenging economic problems. Qualitative modeling using fuzzy logic and intelligent system theories can be used to model macroeconomic models. Fuzzy Cognitive maps (FCM) is a new method been used to model the dynamic behavior of complex systems. For the first time FCMs and the Mamdani Model of Intelligent control is used to model macroeconomic models. This new model is referred as the Mamdani Rule-Based Fuzzy Cognitive Map (MBFCM) and provides the academic and research community with a new promising integrated advanced computational model. A new economic model is developed for a qualitative approach to Macroeconomic modeling. Fuzzy Controllers for such models are designed. Simulation results for an economic scenario are provided and extensively discussed
Abstract: This paper presents a new approach in the identification of the quadrotor dynamic model using a black-box system for identification. Also the paper considers the problems which appear during the identification in the closed-loop and offers a technical solution for overcoming the correlation between the input noise present in the output
Abstract: Exchange algorithm with constraints on magnitude and phase error separately in new way is presented in this paper. An important feature of the algorithms presented in this paper is that they allow for design constraints which often arise in practical filter design problems. Meeting required minimum stopband attenuation or a maximum deviation from the desired magnitude and phase responses in the passbands are common design constraints that can be handled by the methods proposed here. This new algorithm may have important advantages over existing technique, with respect to the speed and stability of convergence, memory requirement and low ripples.
Abstract: Many problems in computer vision and image
processing present potential for parallel implementations through one
of the three major paradigms of geometric parallelism, algorithmic
parallelism and processor farming. Static process scheduling
techniques are used successfully to exploit geometric and algorithmic
parallelism, while dynamic process scheduling is better suited to
dealing with the independent processes inherent in the process
farming paradigm. This paper considers the application of parallel or
multi-computers to a class of problems exhibiting spatial data
characteristic of the geometric paradigm. However, by using
processor farming paradigm, a dynamic scheduling technique is
developed to suit the MIMD structure of the multi-computers. A
hybrid scheme of scheduling is also developed and compared with
the other schemes. The specific problem chosen for the investigation
is the Hough transform for line detection.
Abstract: Natural language processing systems pose a unique
challenge for software architectural design as system complexity has
increased continually and systems cannot be easily constructed from
loosely coupled modules. Lexical, syntactic, semantic, and pragmatic
aspects of linguistic information are tightly coupled in a manner that
requires separation of concerns in a special way in design,
implementation and maintenance. An aspect oriented software
architecture is proposed in this paper after critically reviewing
relevant architectural issues. For the purpose of this paper, the
syntactic aspect is characterized by an augmented context-free
grammar. The semantic aspect is composed of multiple perspectives
including denotational, operational, axiomatic and case frame
approaches. Case frame semantics matured in India from deep
thematic analysis. It is argued that lexical, syntactic, semantic and
pragmatic aspects work together in a mutually dependent way and
their synergy is best represented in the aspect oriented approach. The
software architecture is presented with an augmented Unified
Modeling Language.
Abstract: In data mining, the association rules are used to search
for the relations of items of the transactions database. Following the
data is collected and stored, it can find rules of value through
association rules, and assist manager to proceed marketing strategy
and plan market framework. In this paper, we attempt fuzzy partition
methods and decide membership function of quantitative values of
each transaction item. Also, by managers we can reflect the
importance of items as linguistic terms, which are transformed as
fuzzy sets of weights. Next, fuzzy weighted frequent pattern growth
(FWFP-Growth) is used to complete the process of data mining. The
method above is expected to improve Apriori algorithm for its better
efficiency of the whole association rules. An example is given to
clearly illustrate the proposed approach.
Abstract: The characterization and modeling of the dynamic
behavior of many built-up structures under vibration conditions is still
a subject of current research. The present study emphasizes the
theoretical investigation of slip damping in layered and jointed
welded cantilever structures using finite element approach.
Application of finite element method in damping analysis is relatively
recent, as such, some problems particularly slip damping analysis has
not received enough attention. To validate the finite element model
developed, experiments have been conducted on a number of mild
steel specimens under different initial conditions of vibration. Finite
element model developed affirms that the damping capacity of such
structures is influenced by a number of vital parameters such as;
pressure distribution, kinematic coefficient of friction and micro-slip
at the interfaces, amplitude, frequency of vibration, length and
thickness of the specimen. Finite element model developed can be
utilized effectively in the design of machine tools, automobiles,
aerodynamic and space structures, frames and machine members for
enhancing their damping capacity.
Abstract: Because road traffic accidents are a major source of death worldwide, attempts have been made to create Advanced Driver Assistance Systems (ADAS) able to detect vehicle, driver and
environmental conditions that are cues for possible potential accidents. This paper presents continued work on a novel Nonintrusive
Intelligent Driver Assistance and Safety System (Ni-DASS)
for assessing driver attention and hazard awareness. It uses two onboard
CCD cameras – one observing the road and the other observing
the driver-s face. The windscreen is divided into cells and analysis of
the driver-s eye-gaze patterns allows Ni-DASS to determine the windscreen cell the driver is focusing on using eye-gesture templates.
Intersecting the driver-s field of view through the observed
windscreen cell with subsections of the camera-s field of view containing a potential hazard allows Ni-DASS to estimate the
probability that the driver has actually observed the hazard. Results
have shown that the proposed technique is an accurate enough
measure of driver observation to be useful in ADAS systems.
Abstract: In this paper the authors present the framework of a
system for assisting users through counseling on personal health, the
Personal Health Assistance Service Expert System (PHASES).
Personal health assistance systems need Personal Health Records
(PHR), which support wellness activities, improve the understanding
of personal health issues, enable access to data from providers of
health services, strengthen health promotion, and in the end improve
the health of the population. This is especially important in societies
where the health costs increase at a higher rate than the overall
economy. The most important elements of a healthy lifestyle are
related to food (such as balanced nutrition and diets), activities for
body fitness (such as walking, sports, fitness programs), and other
medical treatments (such as massage, prescriptions of drugs). The
PHASES framework uses an ontology of food, which includes
nutritional facts, an expert system keeping track of personal health
data that are matched with medical treatments, and a comprehensive
data transfer between patients and the system.
Abstract: In this paper we present a substantiation of a new
Laguerre-s type iterative method for solving of a nonlinear
polynomial equations systems with real coefficients. The problems of
its implementation, including relating to the structural choice of
initial approximations, were considered. Test examples demonstrate
the effectiveness of the method at the solving of many practical
problems solving.
Abstract: Together with the industrialization, women began to
be included in business life by peeling off of the tasks given them by
society and they have become a factor of production creating value in
economic and social sense. Thus, women have taken place in the
labor market, majority of which has been formed by men. In this
study, the experiences of women entrepreneurs, who succeed in
business activities, will be analyzed. By the study, current state of the
women entrepreneurs in the labor market of Turkey will be put down,
as a result of interferences obtained from the shared experiences of
women entrepreneurs. Findings obtained at the end of the study are
thought to light the way of future studies for increasing women
entrepreneurship.
Abstract: Metrics is the process by which numbers or symbols
are assigned to attributes of entities in the real world in such a way as
to describe them according to clearly defined rules. Software metrics
are instruments or ways to measuring all the aspect of software
product. These metrics are used throughout a software project to
assist in estimation, quality control, productivity assessment, and
project control. Object oriented software metrics focus on
measurements that are applied to the class and other characteristics.
These measurements convey the software engineer to the behavior of
the software and how changes can be made that will reduce
complexity and improve the continuing capability of the software.
Object oriented software metric can be classified in two types static
and dynamic. Static metrics are concerned with all the aspects of
measuring by static analysis of software and dynamic metrics are
concerned with all the measuring aspect of the software at run time.
Major work done before, was focusing on static metric. Also some
work has been done in the field of dynamic nature of the software
measurements. But research in this area is demanding for more work.
In this paper we give a set of dynamic metrics specifically for
polymorphism in object oriented system.