Abstract: The present report describes the characteristics of
damages and behavior of reinforced concrete buildings during the
tsunami action. The discussion is based on the field damage survey in
selected cities located on the coast of the zone affected by the Great
East Japan Earthquake on March 11, 2011. This earthquake is the most
powerful know earthquake that has hit Japan with a magnitude 9.0 and
with epicenter located at 129 km of Sendai city (off the coast). The
earthquake triggered a destructive tsunami with run up height of up to
40 meters that mainly affect cities located on the Pacific Ocean coast of
the Tohoku region (north-east region of Japan). Reinforced concrete
buildings in general resist the tsunami without collapse however the
non-structural elements like panels and ceilings were severely
damaged. The analysis of damages has permitted to understand the
behavior of RC buildings under tsunami attack, and has also permitted
to establish recommendations for their use to take refuge from tsunami
in places where natural topography makes impossible to reach hilltops
or other safer places.
Abstract: The increasing divorce and fertility rates outside of marriage, the changing values in the last decades have led to a high prevalence of single parent families. Currently, worldwide, singleparent families represent about a quarter of all families. Recent changes occurring in the structure of single-parent families and also the multitude of factors that influence the quality of life of these families require the development of new research tools in order to provide foundations for social policies addressed to this type of family. The purpose of this paper is to present an analysis concerning the quality of life for single parent families in Romania, based on data collected through a research methodology developed by the authors within a scientific research project funded by a national grant called Partnerships in priority areas.
Abstract: Recently many research has been conducted to
retrieve pertinent parameters and adequate models for automatic
music genre classification. In this paper, two measures based upon
information theory concepts are investigated for mapping the features
space to decision space. A Gaussian Mixture Model (GMM) is used
as a baseline and reference system. Various strategies are proposed
for training and testing sessions with matched or mismatched
conditions, long training and long testing, long training and short
testing. For all experiments, the file sections used for testing are
never been used during training. With matched conditions all
examined measures yield the best and similar scores (almost 100%).
With mismatched conditions, the proposed measures yield better
scores than the GMM baseline system, especially for the short testing
case. It is also observed that the average discrimination information
measure is most appropriate for music category classifications and on
the other hand the divergence measure is more suitable for music
subcategory classifications.
Abstract: The scroll pump belongs to the category of positive
displacement pump can be used for continuous pumping of gases at
low pressure apart from general vacuum application. The shape of
volume occupied by the gas moves and deforms continuously as the
spiral orbits. To capture flow features in such domain where mesh
deformation varies with time in a complicated manner, mesh less
solver was found to be very useful. Least Squares Kinetic Upwind
Method (LSKUM) is a kinetic theory based mesh free Euler solver
working on arbitrary distribution of points. Here upwind is enforced
in molecular level based on kinetic flux vector splitting scheme
(KFVS). In the present study we extended the LSKUM to moving
node viscous flow application. This new code LSKUM-NS-MN for
moving node viscous flow is validated for standard airfoil pitching
test case. Simulation performed for flow through scroll pump using
LSKUM-NS-MN code agrees well with the experimental pumping
speed data.
Abstract: A procedural-animation-based approach which rapidly
synthesize the adaptive locomotion for quadruped characters that they
can walk or run in any directions on an uneven terrain within a
dynamic environment was proposed. We devise practical motion
models of the quadruped animals for adapting to a varied terrain in a
real-time manner. While synthesizing locomotion, we choose the
corresponding motion models by means of the footstep prediction of
the current state in the dynamic environment, adjust the key-frames of
the motion models relying on the terrain-s attributes, calculate the
collision-free legs- trajectories, and interpolate the key-frames
according to the legs- trajectories. Finally, we apply dynamic time
warping to each part of motion for seamlessly concatenating all desired
transition motions to complete the whole locomotion. We reduce the
time cost of producing the locomotion and takes virtual characters to
fit in with dynamic environments no matter when the environments are
changed by users.
Abstract: Microbial contamination, most of which are fecal born in drinking water and food industry is a serious threat to humans. Escherichia coli is one of the most common and prevalent among them. We have developed a sensor for rapid and an early detection of contaminants, taking E.coli as a threat indicator organism. The sensor is based on co-polymerizations of aniline and formaldehyde in form of thin film over glass surface using the vacuum deposition technique. The particular doping combination of thin film with Fe-Al and Fe-Cu in different concentrations changes its non conducting properties to p- type semi conductor. This property is exploited to detect the different contaminants, believed to have the different surface charge. It was found through experiments that different microbes at same OD (0.600 at 600 nm) have different conductivity in solution. Also the doping concentration is found to be specific for attracting microbes on the basis of surface charge. This is a simple, cost effective and quick detection method which not only decreases the measurement time but also gives early warnings for highly contaminated samples.
Abstract: Modeling the behavior of the dialogue management in
the design of a spoken dialogue system using statistical methodologies
is currently a growing research area. This paper presents a work
on developing an adaptive learning approach to optimize dialogue
strategy. At the core of our system is a method formalizing dialogue
management as a sequential decision making under uncertainty whose
underlying probabilistic structure has a Markov Chain. Researchers
have mostly focused on model-free algorithms for automating the
design of dialogue management using machine learning techniques
such as reinforcement learning. But in model-free algorithms there
exist a dilemma in engaging the type of exploration versus exploitation.
Hence we present a model-based online policy learning
algorithm using interconnected learning automata for optimizing
dialogue strategy. The proposed algorithm is capable of deriving
an optimal policy that prescribes what action should be taken in
various states of conversation so as to maximize the expected total
reward to attain the goal and incorporates good exploration and
exploitation in its updates to improve the naturalness of humancomputer
interaction. We test the proposed approach using the most
sophisticated evaluation framework PARADISE for accessing to the
railway information system.
Abstract: For today-s and future wireless communications applications,
more and more data traffic has to be transmitted with
growing speed and quality demands. The analog front-end of any
mobile device has to cope with very hard specifications regardless
which transmission standard has to be supported. State-of-the-art
analog front-end implementations are reaching the limit of technical
feasibility. For that reason, alternative front-end architectures could
support a continuing development of mobile communications e.g.,
six-port-based front-ends [1], [2].
In this article we propose an analog front-end with high intermediate
frequency and which utilizes additive mixing instead
of multiplicative mixing. The system architecture is presented and
several spurious effects as well as their influence on the system
dimensioning are discussed. Furthermore, several issues concerning
the technical feasibility are provided and some simulation results
are discussed which show the principle functionality of the proposed
superposition heterodyne receiver.
Abstract: It-s difficult for China-s current land transfer
institutions limited to county-wide to solve the contradiction between
urban-rural development and construction land shortage. On the basis of analyzing China-s construction land transfer system, and evaluation
toward Transfer of development rights (TDR) practices in Anhui and
Chongqing, the passage proposes: (1) we should establish a multi-level
land indicators trade market under the guidance of regional spatial
objectives, and allow land transfer paid across cities and counties
within a specific area following the regulation of both government and
market; (2) it would be better to combine organically the policy ntentions of land plan, regional plan, urban plan and economic plan, and link them with land indicators transfer to promote a wider range of
urban-rural balance and regional coordination.
Abstract: An effective visual error concealment method has been presented by employing a robust rotation, scale, and translation (RST) invariant partial patch matching model (RSTI-PPMM) and
exemplar-based inpainting. While the proposed robust and inherently
feature-enhanced texture synthesis approach ensures the generation
of excellent and perceptually plausible visual error concealment results, the outlier pruning property guarantees the significant quality improvements, both quantitatively and qualitatively. No intermediate
user-interaction is required for the pre-segmented media and the
presented method follows a bootstrapping approach for an automatic
visual loss recovery and the image and video error concealment.
Abstract: In this paper, for the understanding of the phytoplankton dynamics in marine ecosystem, a susceptible and an infected class of phytoplankton population is considered in spatiotemporal domain.
Here, the susceptible phytoplankton is growing logistically and the
growth of infected phytoplankton is due to the instantaneous Holling
type-II infection response function. The dynamics are studied in terms of the local and global stabilities for the system and further
explore the possibility of Hopf -bifurcation, taking the half saturation period as (i.e., ) the bifurcation parameter in temporal domain.
It is also observe that the reaction diffusion system exhibits spatiotemporal
chaos and pattern formation in phytoplankton dynamics,
which is particularly important role play for the spatially extended phytoplankton system. Also the effect of the diffusion coefficient
on the spatial system for both one and two dimensional case is obtained. Furthermore, we explore the higher-order stability analysis
of the spatial phytoplankton system for both linear and no-linear system. Finally, few numerical simulations are carried out for pattern
formation.
Abstract: Culture and family structure provide a sense security.
Further, the chrono, macro and micro contexts of development
influence developmental transitions and timetable particularly owing
to variations in the macrosystem associated with non normative life
events like migration. Migration threatens family links, security and
attachment bonds. Rising migratory trends have prompted an
increased interest in migration consequences on familial bonds,
developmental autonomy, socialization process, and sense of
security. This paper takes a narrative approach and applies the
attachment paradigm from a lifespan perspective, to examine the
settlement experiences of an India-born migrant student in Sydney,
Australia. It focuses on her quest to preserve family ties; her remote
secure base; her continual struggle to balance dependency and
autonomy, a major developmental milestone. As positional parental
power is culturally more potent in the Indian society, the paper
therefore raises some important concerns related to cultural
expectations, adaptation, acculturative stress and sense of security.
Abstract: Design Patterns have gained more and more
acceptances since their emerging in software development world last
decade and become another de facto standard of essential knowledge
for Object-Oriented Programming developers nowadays.
Their target usage, from the beginning, was for regular computers,
so, minimizing power consumption had never been a concern.
However, in this decade, demands of more complicated software for
running on mobile devices has grown rapidly as the much higher
performance portable gadgets have been supplied to the market
continuously. To get along with time to market that is business
reason, the section of software development for power conscious,
battery, devices has shifted itself from using specific low-level
languages to higher level ones. Currently, complicated software
running on mobile devices are often developed by high level
languages those support OOP concepts. These cause the trend of
embracing Design Patterns to mobile world.
However, using Design Patterns directly in software development
for power conscious systems is not recommended because they were
not originally designed for such environment. This paper
demonstrates the adapted Design Pattern for power limitation system.
Because there are numerous original design patterns, it is not possible
to mention the whole at once. So, this paper focuses only in creating
Energy Conscious version of existing regular "Builder Pattern" to be
appropriated for developing low power consumption software.
Abstract: In this paper, we propose disease diagnosis hardware
architecture by using Hypernetworks technique. It can be used to
diagnose 3 different diseases (SPECT Heart, Leukemia, Prostate
cancer). Generally, the disparate diseases require specified diagnosis
hardware model for each disease. Using similarities of three diseases
diagnosis processor, we design diagnosis processor that can diagnose
three different diseases. Our proposed architecture that is combining
three processors to one processor can reduce hardware size without
decrease of the accuracy.
Abstract: Both image steganography and image encryption have
advantages and disadvantages. Steganograhy allows us to hide a
desired image containing confidential information in a covered or
host image while image encryption is decomposing the desired image
to a non-readable, non-comprehended manner. The encryption
methods are usually much more robust than the steganographic ones.
However, they have a high visibility and would provoke the attackers
easily since it usually is obvious from an encrypted image that
something is hidden! The combination of steganography and
encryption will cover both of their weaknesses and therefore, it
increases the security. In this paper an image encryption method
based on sinc-convolution along with using an encryption key of 128
bit length is introduced. Then, the encrypted image is covered by a
host image using a modified version of JSteg steganography
algorithm. This method could be applied to almost all image formats
including TIF, BMP, GIF and JPEG. The experiment results show
that our method is able to hide a desired image with high security and
low visibility.
Abstract: The objective of the paper was to understand the use
of an important element of design, namely color in a Semiotic
system. Semiotics is the study of signs and sign processes, it is often
divided into three branches namely (i) Semantics that deals with the
relation between signs and the things to which they refer to mean, (ii)
Syntactics which addresses the relations among signs in formal
structures and (iii) Pragmatics that relates between signs and its
effects on they have on the people who use them to create a plan for
an object or a system referred to as design. Cubism with its versatility
was the key design tool prevalent across the 20th century. In order to
analyze the user's understanding of interaction and appreciation of
color through the movement of Cubism, an exercise was undertaken
in Dept. of Design, IIT Guwahati. This included tasks to design a
composition using color and sign process to the theme 'Between the
Lines' on a given tessellation where the users relate their work to the
world they live in, which in this case was the college campus of IIT
Guwahati. The findings demonstrate impact of the key design
element color on the principles of visual perception based on image
analysis of specific compositions.
Abstract: The purpose of this paper is to explore the role of
cognitive decision effort in recommendation system, combined with
indicators "information quality" and "service quality" from IS success
model to exam the awareness of the user for the "recommended system
performance". A total of 411 internet user answered a questionnaire
assessing their attention of use and satisfaction of recommendation
system in internet book store. Quantitative result indicates following
research results. First, information quality of recommended system
has obvious influence in consumer shopping decision-making process,
and the attitude to use the system. Second, in the process of consumer's
shopping decision-making, the recommendation system has no
significant influence for consumers to pay lower cognitive
decision-making effort. Third, e-commerce platform provides
recommendations and information is necessary, but the quality of
information on user needs must be considered, or they will be other
competitors offer homogeneous services replaced.
Abstract: This paper presents an integrated case based and rule
based reasoning method for car faulty diagnosis. The reasoning
method is done through extracting the past cases from the Proton
Service Center while comparing with the preset rules to deduce a
diagnosis/solution to a car service case. New cases will be stored to
the knowledge base. The test cases examples illustrate the
effectiveness of the proposed integrated reasoning. It has proven
accuracy of similar reasoning if carried out by a service advisor from
the service center.
Abstract: Competing risks survival data that comprises of more
than one type of event has been used in many applications, and one
of these is in clinical study (e.g. in breast cancer study). The
decision tree method can be extended to competing risks survival
data by modifying the split function so as to accommodate two or
more risks which might be dependent on each other. Recently,
researchers have constructed some decision trees for recurrent
survival time data using frailty and marginal modelling. We further
extended the method for the case of competing risks. In this paper,
we developed the decision tree method for competing risks survival
time data based on proportional hazards for subdistribution of
competing risks. In particular, we grow a tree by using deviance
statistic. The application of breast cancer data is presented. Finally,
to investigate the performance of the proposed method, simulation
studies on identification of true group of observations were executed.
Abstract: The consumption capability of people in China has
been a big issue to tourism business. Due to the increasing of China
tourists, Taiwan-s government rescinded the category of people in
China and opened up the non-stopped airline from China to Taiwan.
The “one-day traveling style between China and Taiwan" has formed,
hoping to bring business to Taiwan. Night market, which shows
foreigners the very local character of Taiwan, contains various
merchandise for consumers to purchase. With the increasing numbers
of non-stopped airline, visiting Taiwan-s night markets has also been
one of major activities to China-s tourists. The purpose of the present
study is to understand the consumer behavior of China tourists in
tourist night markets in Taipei and analyze that if their shopping
motives cause the different shopping behaviors and post-purchase
satisfaction and revisiting intention. The results reveled that for the
China tourists, the motives of significant influence to the shopping
behaviors. Also, the shopping behaviors significant influence to the
whole satisfaction and the whole satisfaction significant influence to
post-purchase behavior.