Abstract: Positive real and strictly positive real transfer functions are important concepts in the control theory. In this paper, the results of researches in these areas are summarized. Definitions together with their graphical interpretations are mentioned. The equivalent conditions in the frequency domain and state space representations are reviewed. Their equivalent electrical networks are explained. Also, a comprehensive discussion about a difference between behavior of real part of positive real and strictly positive real transfer functions in high frequencies is presented. Furthermore, several illustrative examples are given.
Abstract: This paper is devoted to present the advances in the design of a prototype that is able to supervise the complex behavior of water quality parameters such as pH and temperature, via a real-time monitoring system. The current water quality tests that are performed in government water quality institutions in Mexico are carried out in problematic locations and they require taking manual samples. The water samples are then taken to the institution laboratory for examination. In order to automate this process, a water quality monitoring system based on wireless sensor networks is proposed. The system consists of a sensor node which contains one pH sensor, one temperature sensor, a microcontroller, and a ZigBee radio, and a base station composed by a ZigBee radio and a PC. The progress in this investigation shows the development of a water quality monitoring system. Due to recent events that affected water quality in Mexico, the main motivation of this study is to address water quality monitoring systems, so in the near future, a more robust, affordable, and reliable system can be deployed.
Abstract: Governments constantly seek to offer faster, more secure, efficient and effective services for their citizens. Recent changes and developments to communication services and technologies, mainly due the Internet, have led to immense improvements in the way governments of advanced countries carry out their interior operations Therefore, advances in e-government services have been broadly adopted and used in various developed countries, as well as being adapted to developing countries. The implementation of advances depends on the utilization of the most innovative structures of data techniques, mainly in web dependent applications, to enhance the main functions of governments. These functions, in turn, have spread to mobile and wireless techniques, generating a new advanced direction called m-government. This paper discusses a selection of available m-government applications and several business modules and frameworks in various fields. Practically, the m-government models, techniques and methods have become the improved version of e-government. M-government offers the potential for applications which will work better, providing citizens with services utilizing mobile communication and data models incorporating several government entities. Developing countries can benefit greatly from this innovation due to the fact that a large percentage of their population is young and can adapt to new technology and to the fact that mobile computing devices are more affordable. The use of models of mobile transactions encourages effective participation through the use of mobile portals by businesses, various organizations, and individual citizens. Although the application of m-government has great potential, it does have major limitations. The limitations include: the implementation of wireless networks and relative communications, the encouragement of mobile diffusion, the administration of complicated tasks concerning the protection of security (including the ability to offer privacy for information), and the management of the legal issues concerning mobile applications and the utilization of services.
Abstract: MSN used to be the most popular application for
communicating among social networks, but Facebook chat is now the
most popular. Facebook and MSN have similar characteristics,
including usefulness, ease-of-use, and a similar function, which is the
exchanging of information with friends. Facebook outperforms MSN
in both of these areas. However, the adoption of Facebook and
abandonment of MSN have occurred for other reasons. Functions can
be improved, but users’ willingness to use does not just depend on
functionality. Flow status has been established to be crucial to users’
adoption of cyber applications and to affects users’ adoption of
software applications. If users experience flow in using software
application, they will enjoy using it frequently, and even change their
preferred application from an old to this new one. However, no
investigation has examined choice behavior related to switching from
Facebook to MSN based on a consideration of flow experiences and
functions. This investigation discusses the flow experiences and
functions of social-networking applications. Flow experience is found
to affect perceived ease of use and perceived usefulness; perceived
ease of use influences information ex-change with friends, and
perceived usefulness; information exchange influences perceived
usefulness, but information exchange has no effect on flow
experience.
Abstract: Wireless Body Area Network (WBAN) is a short-range
wireless communication around human body for various applications
such as wearable devices, entertainment, military, and especially
medical devices. WBAN attracts the attention of continuous health
monitoring system including diagnostic procedure, early detection of
abnormal conditions, and prevention of emergency situations.
Compared to cellular network, WBAN system is more difficult to
control inter- and inner-cell interference due to the limited power,
limited calculation capability, mobility of patient, and
non-cooperation among WBANs.
In this paper, we compare the performance of resource allocation
scheme based on several Pseudo Orthogonal Codewords (POCs) to
mitigate inter-WBAN interference. Previously, the POCs are widely
exploited for a protocol sequence and optical orthogonal code. Each
POCs have different properties of auto- and cross-correlation and
spectral efficiency according to its construction of POCs. To identify
different WBANs, several different pseudo orthogonal patterns based
on POCs exploits for resource allocation of WBANs. By simulating
these pseudo orthogonal resource allocations of WBANs on
MATLAB, we obtain the performance of WBANs according to
different POCs and can analyze and evaluate the suitability of POCs
for the resource allocation in the WBANs system.
Abstract: The increasing demand of electric power is giving an
emphasis on the need for the maximum utilization of renewable
energy sources. On the other hand maintaining power quality to
satisfaction of utility is an essential requirement. In this paper the
design aspects of a Unified Power Quality Conditioner integrated
with photovoltaic system in a distributed generation is presented. The
proposed system consist of series inverter, shunt inverter are
connected back to back on the dc side and share a common dc-link
capacitor with Distributed Generation through a boost converter. The
primary task of UPQC is to minimize grid voltage and load current
disturbances along with reactive and harmonic power compensation.
In addition to primary tasks of UPQC, other functionalities such as
compensation of voltage interruption and active power transfer to the
load and grid in both islanding and interconnected mode have been
addressed. The simulation model is design in MATLAB/ Simulation
environment and the results are in good agreement with the published
work.
Abstract: This study attempts to consider the linkage between management and computer sciences in order to develop the software named “IntelSymb” as a demo application to prove data analysis of non-energy* fields’ diversification, which will positively influence on energy dependency mitigation of countries. Afterward, we analyzed 18 years of economic fields of development (5 sectors) of 13 countries by identifying which patterns mostly prevailed and which can be dominant in the near future. To make our analysis solid and plausible, as a future work, we suggest developing a gateway or interface, which will be connected to all available on-line data bases (WB, UN, OECD, U.S. EIA) for countries’ analysis by fields. Sample data consists of energy (TPES and energy import indicators) and non-energy industries’ (Main Science and Technology Indicator, Internet user index, and Sales and Production indicators) statistics from 13 OECD countries over 18 years (1995-2012). Our results show that the diversification of non-energy industries can have a positive effect on energy sector dependency (energy consumption and import dependence on crude oil) deceleration. These results can provide empirical and practical support for energy and non-energy industries diversification’ policies, such as the promoting of Information and Communication Technologies (ICTs), services and innovative technologies efficiency and management, in other OECD and non-OECD member states with similar energy utilization patterns and policies. Industries, including the ICT sector, generate around 4 percent of total GHG, but this is much higher — around 14 percent — if indirect energy use is included. The ICT sector itself (excluding the broadcasting sector) contributes approximately 2 percent of global GHG emissions, at just under 1 gigatonne of carbon dioxide equivalent (GtCO2eq). Ergo, this can be a good example and lesson for countries which are dependent and independent on energy, and mainly emerging oil-based economies, as well as to motivate non-energy industries diversification in order to be ready to energy crisis and to be able to face any economic crisis as well.
Abstract: Environmental security clearly articulates the perfections and developments of various communities around the world irrespective of the region, culture, religion or social inclination. Although, the present state of insecurity has become serious issue devastating the peace, unity, stability and progress of man and his physical environment particularly in developing countries. Recently, measure of security and it management in Nigeria has been a bottle-neck to the effectiveness and advancement of various sectors that include; business, education, social relations, politics and above all an economy. Several measures have been considered on mitigating environment insecurity such as surveillance, demarcation, security personnel empowerment and the likes, but still the issue remains disturbing. In this paper, we present the application of new technology that contributes to the improvement of security surveillance known as “Wireless Sensor Network (WSN)”. The system is new, smart and emerging technology that provides monitoring, detection and aggregation of information using sensor nodes and wireless network. WSN detects, monitors and stores information or activities in the deployed area such as schools, environment, business centers, public squares, industries, and outskirts and transmit to end users. This will reduce the cost of security funding and eases security surveillance depending on the nature and the requirement of the deployment.
Abstract: Optimisation of the physical and mechanical properties of cold rolled thin strips is achieved by controlling the rolling parameters. In this paper, the factors affecting the asymmetrical cold rolling of thin low carbon steel strip have been studied at a speed ratio of 1.1 without lubricant applied. The effect of rolling parameters on the resulting microstructure was also investigated. It was found that under dry condition, work roll shifting and work roll cross angle can improve the strip profile, and the result is more significant with an increase of work roll cross angle rather than that of work roll shifting. However, there was no obvious change in microstructure. In addition, effects of rolling parameters on strip profile and microstructure have also been discussed.
Abstract: In this study, the influence of rolling process parameters such as the work roll cross angle and work roll shifting value on the strip shape and profile of aluminum have been investigated under dry conditions at a speed ratio of 1.3 using Hille 100 experimental mill. The strip profile was found to improve significantly with increase in work roll cross angle from 0o to 1o, with an associated decrease in rolling force. The effect of roll shifting (from 0 to 8mm) was not as significant as the roll cross angle. However, an increase in work roll shifting value achieved a similar decrease in rolling force as that of work roll cross angle. The effect of work roll shifting was also found to be maximum at an optimum roll speed of 0.0986 m/s for the desired thickness. Of all these parameters, the most significant effect of the strip shape profile was observed with variation of work roll cross angle. However, the rolling force can be a significantly reduced by either increasing the the work roll cross angle or work roll shifting.
Abstract: This paper started with the definitions of literature,
Arabic literature, transformation and went further to highlight the
components of educational transformation. The general history of
Arabic literature was discussed with focus on how it undergoes some
transformations from pre-Islamic period through Quranic era,
Abbasid literature to renaissance period in which the modernization
of Arabic literature started in Egypt. It also traces the spread of
Arabic literature in Nigeria from the pre-colonial era during the
Kanuri rulers to Jihad of Usman Dan Fodio and the development of
literature which manifested to the Teacher’s Colleges and Bayero
University in Northern Nigeria. Also, the establishment of primary
and post-primary schools by Muslim organizations in many cities and
towns of the Western part of Nigeria. Literary criticism was also
discussed in line with Arabic literature. Poetry work of eminent poets
were cited to show its importance in line with educational
transformation in Nigerian literature and lessons from the cited
Arabic poetry works were also highlighted to include: motivation to
behave well and to tolerate others, better spirits of interaction, love
and co-existence among different sexes, religion etc. All these can
help in developing a better educational transformation in Nigeria
which can in turn help in how to conduct researches for national
development. The paper recommended compulsory Arabic literature
at all levels of the nations’ educational system as well as publication
of Arabic books and journals to encourage peace in this era of
conflicts and further transform Nigeria’s educational system for
better.
Abstract: The paper presents results of the project conducted in Poland devoted to study on bird strikes at military airfields. The main aim of this project was to develop methods of aircraft protection against threats from birds. The studies were carried out using two methods. One by transect and the other one by selected sector scanning. During the research, it was recorded, that 104 species of birds in the number about of 36000 were observed. The most frequent ones were starling Sturnus vulgaris (31.0%), jackdaw Corvus monedula (18.3%), rook Corvus frugilegus (15.9 %), lapwing Vanellus vanellus (6.2%). Moreover, it was found, that starlings constituted the most serious threat. It resulted from their relatively high attendance at the runway (about 300 individuals). Possible repellent techniques concerning of the Deblin military airfield were discussed. The analysis of the birds’ concentration depending on the altitude, part of the day, year, part of the airfield constituted a base to work out critical flight phase and appropriate procedures to prevent bird strikes.
Abstract: In this work we make a bifurcation analysis for a
single compartment representation of Traub model, one of the most
important conductance-based models. The analysis focus in two
principal parameters: current and leakage conductance. Study of
stable and unstable solutions are explored; also Hop-bifurcation and
frequency interpretation when current varies is examined. This study
allows having control of neuron dynamics and neuron response when
these parameters change. Analysis like this is particularly important
for several applications such as: tuning parameters in learning
process, neuron excitability tests, measure bursting properties of the
neuron, etc. Finally, a hardware implementation results were
developed to corroborate these results.
Abstract: For briquetting of metal chips are used hydraulic and
mechanical presses. The density of the briquettes in this case is about
60% - 70 % on the density of solid metal. In this work are presented
the results of experimental studies for briquetting of metal chips, by
using a new technology for impact briquetting. The used chips are by
Armco iron, steel, cast iron, copper, aluminum and brass. It has been
found that: (i) in a controlled impact the density of the briquettes can
be increases up to 30%; (ii) at the same specific impact energy Es
(J/sm3) the density of the briquettes increases with increasing of the
impact velocity; (iii), realization of the repeated impact leads to
decrease of chips density, which can be explained by distribution of
elastic waves in the briquette.
Abstract: Texture is an important characteristic in real and
synthetic scenes. Texture analysis plays a critical role in inspecting
surfaces and provides important techniques in a variety of
applications. Although several descriptors have been presented to
extract texture features, the development of object recognition is still a
difficult task due to the complex aspects of texture. Recently, many
robust and scaling-invariant image features such as SIFT, SURF and
ORB have been successfully used in image retrieval and object
recognition. In this paper, we have tried to compare the performance
for texture classification using these feature descriptors with k-means
clustering. Different classifiers including K-NN, Naive Bayes, Back
Propagation Neural Network , Decision Tree and Kstar were applied in
three texture image sets － UIUCTex, KTH-TIPS and Brodatz,
respectively. Experimental results reveal SIFTS as the best average
accuracy rate holder in UIUCTex, KTH-TIPS and SURF is
advantaged in Brodatz texture set. BP neuro network works best in the
test set classification among all used classifiers.
Abstract: This research aims to develop ways of lodging
business management of Bang Khonthi community in Samut
Songkram province that are appropriate with the cultural context of
the Bang Khonthi community.
Eight lodging business owners were interviewed. It was found that
lodging business that are family business must be done with passion,
correct understanding of self, culture, nature, Thai way of life,
thorough, professional development, environmentally concerned,
building partnerships with various networks both community level,
and public sector and business cohorts. Public relations should be
done through media both traditional and modern outlets, such as
websites and social networks to provide customers convenience,
security, happiness, knowledge, love and value when travel to Bang
Khonthi. This will also help them achieve sustainability in business,
in line with the 10 Home Stay Standard Thailand.
Suggestions for operators are as follows: Operators need to
improve their public relations work. They need to use technology in
public relations such as the internet. Management standards must be
improved. Souvenir and local products shops should be arranged in
the compound. Product pricing must be set accordingly. They need to
join hands to help each other. Quality of the business operation
should be raised to meet the standards. Educational measures to
reduce the impact caused by tourism on the community such as
efforts to reduce energy consumption.
Abstract: We present a new framework of the data-reusing (DR)
adaptive algorithms by incorporating a constraint on noise, referred
to as a noise constraint. The motivation behind this work is that the
use of the statistical knowledge of the channel noise can contribute
toward improving the convergence performance of an adaptive filter
in identifying a noisy linear finite impulse response (FIR) channel.
By incorporating the noise constraint into the cost function of the
DR adaptive algorithms, the noise constrained DR (NC-DR) adaptive
algorithms are derived. Experimental results clearly indicate their
superior performance over the conventional DR ones.
Abstract: Control system for hi-tech industries could be realized generally and deeply by a special document. Vast heavy industries such as power plants with a large number of I/O signals are controlled by a distributed control system (DCS). This system comprises of so many parts from field level to high control level, and junior instrument engineers may be confused by this enormous information. The key document which can solve this problem is “control configuration system diagram” for each type of DCS. This is a road map that covers all of activities respect to control system in each industrial plant and inevitable to be studied by whom corresponded. It plays an important role from designing control system start point until the end; deliver the system to operate. This should be inserted in bid documents, contracts, purchasing specification and used in different periods of project EPC (engineering, procurement, and construction). Separate parts of DCS are categorized here in order of importance and a brief description and some practical plan is offered. This article could be useful for all instrument and control engineers who worked is EPC projects.
Abstract: In the knowledge-based economy, innovation is considered essential in order to achieve survival and growth in organizations. On the other hand, knowledge management is currently understood as one of the keys to innovation process. Both factors are generally admitted as generators of competitive advantage in organizations. Specifically, activities on R&D&I and those that generate internal knowledge have a positive influence in innovation results. This paper examines this effect and if it is similar or not is what we aimed to quantify in this paper. We focus on the impact that proportion of knowledge workers, the R&D&I investment, the amounts destined for ICTs and training for innovation have on the variation of tangible and intangibles returns for the sector of high and medium technology in Spain. To do this, we have performed an empirical analysis on the results of questionnaires about innovation in enterprises in Spain, collected by the National Statistics Institute. First, using clusters methodology, the behavior of these enterprises regarding knowledge management is identified. Then, using SEM methodology, we performed, for each cluster, the study about cause-effect relationships among constructs defined through variables, setting its type and quantification. The cluster analysis results in four groups in which cluster number 1 and 3 presents the best performance in innovation with differentiating nuances among them, while clusters 2 and 4 obtained divergent results to a similar innovative effort. However, the results of SEM analysis for each cluster show that, in all cases, knowledge workers are those that affect innovation performance most, regardless of the level of investment, and that there is a strong correlation between knowledge workers and investment in knowledge generation. The main findings reached is that Spanish high and medium technology companies improve their innovation performance investing in internal knowledge generation measures, specially, in terms of R&D activities, and underinvest in external ones. This, and the strong correlation between knowledge workers and the set of activities that promote the knowledge generation, should be taken into account by managers of companies, when making decisions about their investments for innovation, since they are key for improving their opportunities in the global market.
Abstract: In this work, we propose an algorithm developed under Python language for the modeling of ordinary scalar Bessel beams and their discrete superpositions and subsequent calculation of optical forces exerted over dielectric spherical particles. The mathematical formalism, based on the generalized Lorenz-Mie theory, is implemented in Python for its large number of free mathematical (as SciPy and NumPy), data visualization (Matplotlib and PyJamas) and multiprocessing libraries. We also propose an approach, provided by a synchronized Software as Service (SaaS) in cloud computing, to develop a user interface embedded on a mobile application, thus providing users with the necessary means to easily introduce desired unknowns and parameters and see the graphical outcomes of the simulations right at their mobile devices. Initially proposed as a free Android-based application, such an App enables data post-processing in cloud-based architectures and visualization of results, figures and numerical tables.