Abstract: Nowadays social media are important tools for web
resource discovery. The performance and capabilities of web searches
are vital, especially search results from social research paper
bookmarking. This paper proposes a new algorithm for ranking
method that is a combination of similarity ranking with paper posted
time or CSTRank. The paper posted time is static ranking for
improving search results. For this particular study, the paper posted
time is combined with similarity ranking to produce a better ranking
than other methods such as similarity ranking or SimRank. The
retrieval performance of combination rankings is evaluated using
mean values of NDCG. The evaluation in the experiments implies
that the chosen CSTRank ranking by using weight score at ratio 90:10
can improve the efficiency of research paper searching on social
bookmarking websites.
Abstract: This paper develops models to analyze the
relationship between leisure time and wage change. Using Thailand-s
Time Use Survey and Labor Force Survey data, the estimation of
wage changes in response to leisure time change indicates that media
receiving, personal care and social participation and volunteer
activities are the ones that significantly raise hourly wages. Thus, the
finding suggests the stimulation in time use for media access to
enhance knowledge and productivity, personal care for attractiveness
and healthiness in order to raise productivity, and social activities to
develop connections for possible future opportunities including wage
increase. These activities should be promoted for productive leisure
time and for welfare improvement.
Abstract: The objective of this paper is to present the
development of the frame of Chulalongkorn University team in TSAE
Auto Challenge Student Formula and Student Formula SAE
Competition of Japan. Chulalongkorn University's SAE team, has
established since year 2003, joined many competitions since year 2006
and became the leading team in Thailand. Through these 5 years, space
frame was the most selected and developed year by year through six
frame designs. In this paper, the discussions on the conceptual design
of these frames are introduced, focusing on the mass and torsional
stiffness improvement. The torsional stiffness test was performed on
the real used frames and the results are compared. It can be seen that
the 2010-2011 frame is firstly designed based on the analysis and
experiment that considered the required mass and torsional stiffness.
From the torsional stiffness results, it can be concluded that the frames
were developed including the decreasing of mass and the increasing
torsional stiffness by applying many techniques.
Abstract: For the electrical metrics that describe photovoltaic
cell performance are inherently multivariate in nature, use of a
univariate, or one variable, statistical process control chart can have
important limitations. Development of a comprehensive process
control strategy is known to be significantly beneficial to reducing
process variability that ultimately drives up the manufacturing cost
photovoltaic cells. The multivariate moving average or MMA chart,
is applied to the electrical metrics of photovoltaic cells to illustrate
the improved sensitivity on process variability this method of control
charting offers. The result show the ability of the MMA chart to
expand to as any variables as needed, suggests an application
with multiple photovoltaic electrical metrics being used in
concert to determine the processes state of control.
Abstract: The main aim of this study is to identify the most
influential variables that cause defects on the items produced by a
casting company located in Turkey. To this end, one of the items
produced by the company with high defective percentage rates is
selected. Two approaches-the regression analysis and decision treesare
used to model the relationship between process parameters and
defect types. Although logistic regression models failed, decision tree
model gives meaningful results. Based on these results, it can be
claimed that the decision tree approach is a promising technique for
determining the most important process variables.
Abstract: Many corporations are seriously concerned about
security of networks and therefore, their network supervisors are still
reluctant to install WLANs. In this regards, the IEEE802.11i standard
was developed to address the security problems, even though the
mistrust of the wireless LAN technology is still existing. The thought
was that the best security solutions could be found in open standards
based technologies that can be delivered by Virtual Private
Networking (VPN) being used for long time without addressing any
security holes for the past few years. This work, addresses this issue
and presents a simulated wireless LAN of IEEE802.11g protocol, and
analyzes impact of integrating Virtual Private Network technology to
secure the flow of traffic between the client and the server within the
LAN, using OPNET WLAN utility. Two Wireless LAN scenarios
have been introduced and simulated. These are based on normal
extension to a wired network and VPN over extension to a wired
network. The results of the two scenarios are compared and indicate
the impact of improving performance, measured by response time
and load, of Virtual Private Network over wireless LAN.
Abstract: Software maintenance and mainly software
comprehension pose the largest costs in the software lifecycle. In
order to assess the cost of software comprehension, various
complexity measures have been proposed in the literature. This paper
proposes new cognitive-spatial complexity measures, which combine
the impact of spatial as well as architectural aspect of the software to
compute the software complexity. The spatial aspect of the software
complexity is taken into account using the lexical distances (in
number of lines of code) between different program elements and the
architectural aspect of the software complexity is taken into
consideration using the cognitive weights of control structures
present in control flow of the program. The proposed measures are
evaluated using standard axiomatic frameworks and then, the
proposed measures are compared with the corresponding existing
cognitive complexity measures as well as the spatial complexity
measures for object-oriented software. This study establishes that the
proposed measures are better indicators of the cognitive effort
required for software comprehension than the other existing
complexity measures for object-oriented software.
Abstract: In this research, an anaerobic co-digestion using decanter cake from palm oil mill industry to improve the biogas production from frozen seafood wastewater is studied using Continuously Stirred Tank Reactor (CSTR) process. The experiments were conducted in laboratory-scale. The suitable Hydraulic Retention Time (HRT) was observed in CSTR experiments with 24 hours of mixing time using the mechanical mixer. The HRT of CSTR process impacts on the efficiency of biogas production. The best performance for biogas production using CSTR process was the anaerobic codigestion for 20 days of HRT with the maximum methane production rate of 1.86 l/d and the average maximum methane production of 64.6%. The result can be concluded that the decanter cake can improve biogas productivity of frozen seafood wastewater.
Abstract: Integrated fiber-wireless (FiWi) access networks are a viable solution that can deliver the high profile quadruple play services. Passive optical networks (PON) networks integrated with wireless access networks provide ubiquitous characteristics for high bandwidth applications. Operation of PON improves by employing a variety of multiplexing techniques. One of it is time division/wavelength division multiplexed (TDM/WDM) architecture that improves the performance of optical-wireless access networks. This paper proposes a novel feedback-based TDM/WDM-PON architecture and introduces a model of integrated PON-FiWi networks. Feedback-based link architecture is an efficient solution to improves the performance of optical-line-terminal (OLT) and interlink optical-network-units (ONUs) communication. Furthermore, the feedback-based WDM/TDM-PON architecture is compared with existing architectures in terms of capacity of network throughput.
Abstract: Hearing impairment is the number one chronic
disability affecting many people in the world. Background noise is
particularly damaging to speech intelligibility for people with
hearing loss especially for sensorineural loss patients. Several
investigations on speech intelligibility have demonstrated
sensorineural loss patients need 5-15 dB higher SNR than the normal
hearing subjects. This paper describes Discrete Hartley Transform
Power Normalized Least Mean Square algorithm (DHT-LMS) to
improve the SNR and to reduce the convergence rate of the Least
Means Square (LMS) for sensorineural loss patients. The DHT
transforms n real numbers to n real numbers, and has the convenient
property of being its own inverse. It can be effectively used for noise
cancellation with less convergence time. The simulated result shows
the superior characteristics by improving the SNR at least 9 dB for
input SNR with zero dB and faster convergence rate (eigenvalue ratio
12) compare to time domain method and DFT-LMS.
Abstract: Understanding the number of people and the flow of
the persons is useful for efficient promotion of the institution
managements and company-s sales improvements. This paper
introduces an automated method for counting passerby using virtualvertical
measurement lines. The process of recognizing a passerby is
carried out using an image sequence obtained from the USB camera.
Space-time image is representing the human regions which are
treated using the segmentation process. To handle the problem of
mismatching, different color space are used to perform the template
matching which chose automatically the best matching to determine
passerby direction and speed. A relation between passerby speed and
the human-pixel area is used to distinguish one or two passersby. In
the experiment, the camera is fixed at the entrance door of the hall in
a side viewing position. Finally, experimental results verify the
effectiveness of the presented method by correctly detecting and
successfully counting them in order to direction with accuracy of
97%.
Abstract: Organizations are supposed to be systems and
consequently require defining the notion of equilibrium within.
However, organizations comprise people and unavoidably entail their
irrational aspects. Then, the question is what is the organizational
equilibrium and equilibrating mechanisms considering these aspects.
Hence, some arguments are provided here to conceptualize human
unconsciousness, irrationalities and consequent uncertainties within
organizations in the form of a system of psychic dynamism. The
assumption is this dynamism maintains the psychic balance of the
organization through a psychodynamic point of view. The resultant
conceptualization expected to promote the understanding of such
aspects in different organizational settings by hypothesizing
organizational equilibration from this perspective. As a result, the
main expectation is, if it is known that how the organization
equilibrates in this sense, we can explain and deal with such
irrationalities and unconsciousness by rational and, of course
conscious, planning and accomplishing.
Abstract: In the present study, development of salbutamol
sulphate nanoparticles that adhere to gastric mucus was investigated.
Salbutamol sulphate has low bioavailability due to short transit time in
gastric. It also has a positive surface charge that provides hurdles to be
encapsulated by the positively strong mucoadhesive polymer of
chitosan. To overcome the difficulties, the surface charge of active
ingredient was modified using several nonionic and anionic
stomach-specific polymers. The nanoparticles were prepared using
ionotropic gelation technique. The evaluation involved determination
of particle size, zeta potential, entrapment efficiency, in vitro drug
release and in vitro mucoadhesion test. Results exhibited that the use
of anionic alginate polymer was more satisfactory than that of
nonionic polymer. Characteristics of the particles was nano-size, high
encapsulation efficiency, fulfilled the drug release requirements and
adhesive towards stomach for around 11 hours. This result shows that
the salbutamol sulphate nanoparticles can be utilized for improvement
its delivery.
Abstract: Heavy metal pollution is an environmental concern.
Phytoremediation is a low-cost, environmental-friendly approach to
solve this problem. Mustard has the potential in reducing heavy metal
contents in soils. Among mustard (Brassica juncea (L.) Czern &
Coss) genotypes in Sri Lanka, accessions 7788, 8831 and 5088 give
significantly a high yield. Therefore, present study was conducted to
quantify the phytoextractive potential among these local mustard
accessions and to assess the interaction of heavy metals, Pb, Co, Mn
on phytoextraction. A pot experiment was designed with acid washed
sand (quartz) and a series of heavy metal solutions of 0, 25, 50, 75
and 100 μg/g. Experiment was carried out with factorial
experimental design. Mustard accessions were tolerant to heavy
metals and could be successfully used in removal of Pb, Co and Mn
and they are capable of accumulating significant quantities of heavy
metals in vegetative and reproductive organs. The order of the
accumulative potential of Pb, Co and Mn in mustard accessions is,
root > shoot >seed.
Abstract: The purpose of this research is to develop and apply the
RSCMAC to enhance the dynamic accuracy of Global Positioning
System (GPS). GPS devices provide services of accurate positioning,
speed detection and highly precise time standard for over 98% area on
the earth. The overall operation of Global Positioning System includes
24 GPS satellites in space; signal transmission that includes 2
frequency carrier waves (Link 1 and Link 2) and 2 sets random
telegraphic codes (C/A code and P code), on-earth monitoring stations
or client GPS receivers. Only 4 satellites utilization, the client position
and its elevation can be detected rapidly. The more receivable
satellites, the more accurate position can be decoded. Currently, the
standard positioning accuracy of the simplified GPS receiver is greatly
increased, but due to affected by the error of satellite clock, the
troposphere delay and the ionosphere delay, current measurement
accuracy is in the level of 5~15m. In increasing the dynamic GPS
positioning accuracy, most researchers mainly use inertial navigation
system (INS) and installation of other sensors or maps for the
assistance. This research utilizes the RSCMAC advantages of fast
learning, learning convergence assurance, solving capability of
time-related dynamic system problems with the static positioning
calibration structure to improve and increase the GPS dynamic
accuracy. The increasing of GPS dynamic positioning accuracy can be
achieved by using RSCMAC system with GPS receivers collecting
dynamic error data for the error prediction and follows by using the
predicted error to correct the GPS dynamic positioning data. The
ultimate purpose of this research is to improve the dynamic positioning
error of cheap GPS receivers and the economic benefits will be
enhanced while the accuracy is increased.
Abstract: Process control and energy conservation are the two
primary reasons for using an adjustable speed drive. However,
voltage sags are the most important power quality problems facing
many commercial and industrial customers. The development of
boost converters has raised much excitement and speculation
throughout the electric industry. Now utilities are looking to these
devices for performance improvement and reliability in a variety of
areas. Examples of these include sags, spikes, or transients in supply
voltage as well as unbalanced voltages, poor electrical system
grounding, and harmonics. In this paper, simulations results are
presented for the verification of the proposed boost converter
topology. Boost converter provides ride through capability during
sag and swell. Further, input currents are near sinusoidal. This
eliminates the need of braking resistor also.
Abstract: Automated operations based on voice commands will become more and more important in many applications, including robotics, maintenance operations, etc. However, voice command recognition rates drop quite a lot under non-stationary and chaotic noise environments. In this paper, we tried to significantly improve the speech recognition rates under non-stationary noise environments. First, 298 Navy acronyms have been selected for automatic speech recognition. Data sets were collected under 4 types of noisy environments: factory, buccaneer jet, babble noise in a canteen, and destroyer. Within each noisy environment, 4 levels (5 dB, 15 dB, 25 dB, and clean) of Signal-to-Noise Ratio (SNR) were introduced to corrupt the speech. Second, a new algorithm to estimate speech or no speech regions has been developed, implemented, and evaluated. Third, extensive simulations were carried out. It was found that the combination of the new algorithm, the proper selection of language model and a customized training of the speech recognizer based on clean speech yielded very high recognition rates, which are between 80% and 90% for the four different noisy conditions. Fourth, extensive comparative studies have also been carried out.
Abstract: This experiment was conducted to investigate the
effect of dietary supplementation of different levels of black seed
(Nigella sativa L.) on the performance and immune response of broiler chicks. A total 240 day-old broiler chicks were used and
randomly allotted equally into six experimental groups designated as 1, 2, 3, 4, 5 and 6 having black seed at the rate of 0, 2, 4, 6, 8 and
10 g /kg diet respectively. The study was lasted for 42 days. Average body weight, weight gain, relative growth rate, feed
conversion, antibody titer against Newcastle disease, phagocytic activity and phagocytic index, some blood parameters(GOT, GPT,
Glucose, Cholesterol, Triglyceride, Total protein, Albumen, WBCs,
RBCs, Hb and PCV), dressing percentage, weight of different body
organs, abdominal fat weight, were determined. It was found that, N. Sativa significantly improved final body weight, total body gain
and feed conversion ratio of groups 2 and 3 when compared with the control group. Higher levels of N. Sativa did not improve
growth performance of the chicks. Non significant differences were
observed for antibody titer against Newcastle virus, WBCs count,
serum GOT, glucose level, dressing %, relative liver, spleen, heart and head percentages. Lymphoid organs (Bursa and Thymus)
improved significantly with increasing N. Sativa level in all supplemented groups. Serum cholesterol, triglyceride and visible fat
% significantly decreased with Nigella sativa supplementation while
serum GPT level significantly increased with nigella sativa
supplementation.
Abstract: Wavelet neural networks (WNNs) have emerged as a vital alternative to the vastly studied multilayer perceptrons (MLPs) since its first implementation. In this paper, we applied various clustering algorithms, namely, K-means (KM), Fuzzy C-means (FCM), symmetry-based K-means (SBKM), symmetry-based Fuzzy C-means (SBFCM) and modified point symmetry-based K-means (MPKM) clustering algorithms in choosing the translation parameter of a WNN. These modified WNNs are further applied to the heterogeneous cancer classification using benchmark microarray data and were compared against the conventional WNN with random initialization method. Experimental results showed that a WNN classifier with the MPKM algorithm is more precise than the conventional WNN as well as the WNNs with other clustering algorithms.
Abstract: Peer review is an activity where students review their
classmates- writing and then evaluate the content, development, unity
and organization. Studies have shown that peer review activities
benefit both the reviewer and the writer in developing their reading
and writing skills. Furthermore, peer review activities may also
enhance students- soft skills. This study was conducted to find out the
benefits of peer review activity in a technical writing class based on
engineering students- perceptions. The study also highlights how
these benefits could improve the students- soft skills. A set of
questionnaire was given to 200 undergraduate students of a technical
writing course. The results of the study indicate that the activity could
help improve their critical thinking skills, written and oral
communication skills, as well as team work. This paper further
discusses how the implications of these benefits could help enhance
students- soft skills.