Abstract: Natural dye extracted from Caesalpinia sappan Linn. was applied to a cotton fabric and silk yarn by dyeing process. The dyestuff component of Caesalpinia sappan Linn. was extracted using water and ethanol. Analytical studies such as UV–VIS spectrophotometry and gravimetric analysis were performed on the extracts. Brazilein, the major dyestuff component of Caesalpinia sappan Linn. was confirmed in both aqueous and ethanolic extracts by UV–VIS spectrum. The color of each dyed material was investigated in terms of the CIELAB (L*, a* and b*) and K/S values. Cotton fabric dyed without mordant had a shade of reddish-brown, while those post-mordanted with aluminum potassium sulfate, ferrous sulfate and copper sulfate produced a variety of wine red to dark purple color shades. Cotton fabric and silk yarn dyeing was studied using aluminum potassium sulfate as a mordant. The observed color strength was enhanced with increase in mordant concentration.
Abstract: We describe a relationship between integral images and
differential images. First, we derive a simple difference filter from
conventional integral image. In the derivation, we show that an
integral image and the corresponding differential image are related
to each other by simultaneous linear equations, where the numbers
of unknowns and equations are the same, and therefore, we can
execute the integration and differentiation by solving the simultaneous
equations. We applied the relationship to an image fusion problem,
and experimentally verified the effectiveness of the proposed method.
Abstract: Shifted polynomial basis (SPB) is a variation of
polynomial basis representation. SPB has potential for efficient
bit level and digi -level implementations of multiplication over
binary extension fields with subquadratic space complexity. For
efficient implementation of pairing computation with large finite
fields, this paper presents a new SPB multiplication algorithm based
on Karatsuba schemes, and used that to derive a novel scalable
multiplier architecture. Analytical results show that the proposed
multiplier provides a trade-off between space and time complexities.
Our proposed multiplier is modular, regular, and suitable for very
large scale integration (VLSI) implementations. It involves less
area complexity compared to the multipliers based on traditional
decomposition methods. It is therefore, more suitable for efficient
hardware implementation of pairing based cryptography and elliptic
curve cryptography (ECC) in constraint driven applications.
Abstract: The procedure for the assessment of the urinary mucosal cryoglobulin (UMCG) is being reviewed, testified and evaluated. The major features of UMCG are rather similar to that of serum cryoglobulin. Such evident similarities are forming the reality for the existence of the UMCG. There were seven characterizing criteria useable for the identification for UMCG. Upon matching them to the Irish criteria for serum cryoglobulin, some modifications are being proposed to the 16th standards that has been formulated and built as an Irish criteria. The existence of UMCG is being reported for the first time in human chronic infectious bacterial disease.
Abstract: The concept of competitiveness is currently very
frequently used term. However, the interpretation of its essence is
different. In this paper, one of the many concepts of competitiveness
will be analyzed and that is macroeconomic competitiveness, which
is understood as a process, which is based on the productivity growth
through the growth of key macroeconomic indicators such as
standards of living and employment, where all of these variables
must have a sustainable basis. Given the competition is a relative
quantity it must be constantly compared with the development of
competitiveness in other economies or regions. And this comparison
method is also used in the article that compares the macrocompetitiveness
of selected economies of the European Economic
Area – the Czech Republic, Poland, Austria, Switzerland and
Germany. The aim of the paper is to verify the hypothesis concerning
the direct correlation between the size of the economy and its
competitiveness.
Abstract: This qualitative research has 2 objectives: to study
marketing management of the cultural learning center in
Suansunandha Rajabhat University and to suggest guidelines to
improve its marketing management. This research is based on a case
study of the Arts and Culture Office in Suansunandha Rajabhat
University, Bangkok.
This research found the Art and Culture Office has no formal
marketing management. However, the marketing management is
partly covered in the overall business plan, strategic plan, and action
plan. The process can be divided into 5 stages. The marketing
concept has long been introduced to its policy but not apparently put
into action due to inflexible system. Some gaps are found in the
process.
The research suggests the Art and Culture Office implement the
concept of marketing orientation, meeting the needs and wants of its
target customers and adapt to the changing situation. Minor
guidelines for improvement are provided.
Abstract: Several yield-based stress indices have been developed that may be more applicable to work on drought tolerance. In this study, we investigate possibility of using stress susceptibility index (SSI), tolerance index (TOL), yield stability index (YSI), yield index (YI), stress tolerance index (STI), geometric mean productivity (GMP), harmonic mean (HARM), mean productivity (MP) to identify genotypic performance of some maize cultivars under normal and stressed condition. The results indicate that it was possible to identify superior genotypes for drought tolerance based on their stress indices and generally SSI indices which showed the lowest negative correlation with dry matter yield can be used as the best index for maize breeding programs to introduce drought tolerant hybrids. It was found that SC 647 showed the best behavior under drought stress condition based on TOL and SSI. A higher STI, GMP, and HARM values were attained for ko6. It can be suggested that ko6 should be cultivated in moderate stressful environment of Iran.
Abstract: Undoubtedly one of the most far-reaching and
controversial topics considered in the past few decades, has been
globalization. Globalization lies in the essence of the modern culture.
It is a complex and rapidly expanding network of links and mutual
interdependence that is an aspect of modern life; though some argue
that this link existed since the beginning of human history. If we
consider globalization as a dynamic social process in which the
geographical constraints governing the political, economic, social and
cultural relationships have been undermined, it might not be possible
to simply describe its impact on the urban fabric. But since in this
phenomenon the increase in communications of societies (while
preserving the main cultural - regional characteristics) with one
another and the increase in the possibility of influencing other
societies are discussed, the need for more studies will be felt. The
main objective of this study is to grade based on some globalization
factors on urban fabric applying the TOPSIS model. The research
method is descriptive - analytical and survey. For data analysis, the
TOPSIS model and SPSS software were used and the results of GIS
software with fourteen cities are shown on the map. The results show
that the process of being influenced by the globalization of the urban
fabric of fourteen zones of Isfahan was not similar and there have
been large differences in this respect between city zones; the most
affected areas are zones 5, 6 and 9 of the municipality and the least
impact has been on the zones 4 and 3 and 2.
Abstract: Adolescence is a neuralgic stage in the formation of every human being, generally at this stage is when the middle school level is studied. In 2006 in Mexico incorporated “mentoring" space to assist students in their integration and participation in life. In public middle schools, is sometimes difficult to be aware of situations that affect students because of the number of them and traditional records management. Whit this they lose the opportunity to provide timely support as a preventive way. In order to provide this support, it is required to know the students by detecting the relevant information that has greater impact on their learning process. This research is looking to check if it is possible to identify student’s relevant information to detect when it is at risk, and then to propose a model to manage in a proper way such information.
Abstract: Most ZigBee sensor networks to date make use of nodes with limited processing, communication, and energy capabilities. Energy consumption is of great importance in wireless sensor applications as their nodes are commonly battery-driven. Once ZigBee nodes are deployed outdoors, limited power may make a sensor network useless before its purpose is complete. At present, there are two strategies for long node and network lifetime. The first strategy is saving energy as much as possible. The energy consumption will be minimized through switching the node from active mode to sleep mode and routing protocol with ultra-low energy consumption. The second strategy is to evaluate the energy consumption of sensor applications as accurately as possible. Erroneous energy model may render a ZigBee sensor network useless before changing batteries.
In this paper, we present a ZigBee wireless sensor node with four key modules: a processing and radio unit, an energy harvesting unit, an energy storage unit, and a sensor unit. The processing unit uses CC2530 for controlling the sensor, carrying out routing protocol, and performing wireless communication with other nodes. The harvesting unit uses a 2W solar panel to provide lasting energy for the node. The storage unit consists of a rechargeable 1200 mAh Li-ion battery and a battery charger using a constant-current/constant-voltage algorithm. Our solution to extend node lifetime is implemented. Finally, a long-term sensor network test is used to exhibit the functionality of the solar powered system.
Abstract: Although there is no theoretical weakness in a cryptographic algorithm, Side Channel Analysis can find out some secret data from the physical implementation of a cryptosystem. The analysis is based on extra information such as timing information, power consumption, electromagnetic leaks or even sound which can be exploited to break the system. Differential Power Analysis is one of the most popular analyses, as computing the statistical correlations of the secret keys and power consumptions. It is usually necessary to calculate huge data and takes a long time. It may take several weeks for some devices with countermeasures. We suggest and evaluate the methods to shorten the time to analyze cryptosystems. Our methods include distributed computing and parallelized processing.
Abstract: We present a method for dehazing images. A dark
envelope image is derived with the bilateral minimum filter and a
bright envelope is derived with the bilateral maximum filter. The
ambient light and transmission of the scene are estimated from these
two envelope images. An image without haze is reconstructed from
the estimated ambient light and transmission.
Abstract: Ambient Intelligence promotes a shift in computing which involves fitting-out the environments with devices to support context-aware applications. One of main objectives is the reduction to a minimum of the user’s interactive effort, the diversity and quantity of devices with which people are surrounded with, in existing environments; increase the level of difficulty to achieve this goal. The mobile phones and their amazing global penetration, makes it an excellent device for delivering new services to the user, without requiring a learning effort. The environment will have to be able to perceive all of the interaction techniques. In this paper, we present the PICTAC model (Perceiving touch Interaction through TAgging Context), which similarly delivers service to members of a research group.
Abstract: Leather industry is the most important traditional
industry to provide the leather products in the world for thousand
years. The fierce global competitive environment and common
awareness of global carbon reduction make livestock supply quantities
falling, salt and wet blue leather material reduces and the price
skyrockets significantly. Exchange rate fluctuation led sales revenue
decreasing which due to the differences of export exchanges and
compresses the overall profitability of leather industry. This paper
applies activity-based benefit assessment approach to build up fitness
fur input mixed model, fur is Wet Blue, which concerned with four key
factors: the output rate of wet blue, unit cost of wet blue, yield rate and
grade level of Wet Blue to achieve the low cost strategy under given
unit price of leather product condition of the company. The research
findings indicate that applying this model may improve the input cost
structure, decrease numbers of leather product inventories and to raise
the competitive advantages of the enterprise in the future.
Abstract: The paper focuses on the problem of the point
correspondence matching in stereo images. The proposed matching
algorithm is based on the combination of simpler methods such as
normalized sum of squared differences (NSSD) and a more complex
phase correlation based approach, by considering the noise and other
factors, as well. The speed of NSSD and the preciseness of the
phase correlation together yield an efficient approach to find the best
candidate point with sub-pixel accuracy in stereo image pairs. The
task of the NSSD in this case is to approach the candidate pixel
roughly. Afterwards the location of the candidate is refined by an
enhanced phase correlation based method which in contrast to the
NSSD has to run only once for each selected pixel.
Abstract: The spread of Web 2.0 has caused user-generated content explosion. Users can tag resources to describe and organize
them. Tag clouds provide rough impression of relative importance of
each tag within overall cloud in order to facilitate browsing among
numerous tags and resources. The goal of our paper is to enrich
visualization of tag clouds. A font distribution algorithm has been
proposed to calculate a novel metric based on frequency and content,
and to classify among classes from this metric based on power
law distribution and percentages. The suggested algorithm has been
validated and verified on the tag cloud of a real-world thesis portal.
Abstract: The continued rise of e-commerce is the main driver of the rapid growth of global online purchase. Consumers can nearly buy everything they want at one occasion through online shopping. The purchase behavior models which focus on single product category are insufficient to describe online shopping behavior. Therefore, analysis of multi-category purchase gets more and more popular. For example, market basket analysis explores customers’ buying tendency of the association between product categories. The information derived from market basket analysis facilitates to make cross-selling strategies and product recommendation system.
To detect the association between different product categories, we use the market basket analysis with the multidimensional scaling technique to build an associated map which describes how likely multiple product categories are bought at the same time. Besides, we also build an inter-purchase time model for associated products to describe how likely a product will be bought after its associated product is bought. We classify inter-purchase time behaviors of multi-category products into nine types, and use a mixture regression model to integrate those behaviors under our assumptions of purchase sequences. Our sample data is from comScore which provides a panelist-label database that captures detailed browsing and buying behavior of internet users across the United States. Finding the inter-purchase time from books to movie is shorter than the inter-purchase time from movies to books. According to the model analysis and empirical results, this research finally proposes the applications and recommendations in the management.
Abstract: In this paper, design and fabrication of an actuated parallel-plate mirror based on a 3D-printer is described. The mirror and electrode layers are fabricated separately and assembled thereafter. The alignment is performed by dowel pin-hole pairs fabricated on the respective layers. The electrodes are formed on the surface of the electrode layer by Au ion sputtering using a suitable mask, which is also fabricated by a 3D-printer.For grounding the mirror layer, except the contact area with the electrode paths, all the surface is Au ion sputtered. 3D-printers are widely used for creating 3D models or mock-ups. The authors have recently proposed that these models can perform electromechanical functions such as actuators by suitably masking them followed by metallization process. Since the smallest possible fabrication size is in the order of sub-millimeters, these electromechanical devices are named by the authors as SMEMS (Sub-Milli Electro-Mechanical Systems) devices. The proposed mirror described in this paper which consists of parallel-plate electrostatic actuators is also one type of SMEMS devices. In addition, SMEMS is totally environment-clean compared to MEMS (Micro Electro-Mechanical Systems) fabrication processes because any hazardous chemicals or gases are utilized.
Abstract: We consider the problem of placing labels of the points
on a plane. For each point, its position, the size of its label and a
priority are given. Moreover, several candidates of its label positions
are prespecified, and each of such label positions is assigned a
priority. The objective of our problem is to maximize the total sum
of priorities of placed labels and their points. By refining a labeling
algorithm that can use these priorities, we propose a new heuristic
algorithm which is more suitable for treating the assigned priorities.