A Case Study for HA Implementation of Selected Software Solution
Batos, Vedran; Zakarija, Ivona (Croatia)
ABSTRACT:
The purpose of this article is to present the case study for high availability
(HA) implementation of selected software solution. The case study is
based on developed software application that is running in real-time
production environment where the measured response time is acquired.
The measured values are analized and the simple HA solution is proposed
to cover basic functionalities keeping expected application regular
response time.
A Case Study of Brand Management of We-Media
Lo, Yen-Fen *; Lo, Yen-Hsi *; Shr-Shiuan, Huang *; Hsiao, Jung ** (* Taiwan, ** United States)
ABSTRACT:
With the Internet popularization and rapid development of we-media as
well as new media industry, the chances of becoming famous overnight
are significantly greater than before. Simply by using cellphones to
document daily lives and promote products, ordinary people could become
celebrities easily through the Internet. The purpose of this study is
to understand how an ordinary person uses the Internet to operate an
industry, to become a personalized new brand, and to manage a brand
by utilizing we-media.
This study adopted qualitative research and interviewed five we-media
operators using in-depth interview method. In addition, the five interviewees
were observed by semi-structured interview method to understand the
development process of their we-media brand. The interviewees were selected
based on their popularity, size of audience, and field of expertise;
the candidate’s accessibility and willingness to participate were also
decisive factors. The interview was designed with seven questions and
presented in the form of verbatim manuscript, classification and summary.
The results of the interview were further analyzed by brand management
and media-related theories. The management implications and suggestions
were proposed according to the results of the study.
The study found that media operators conform to three main characteristics:
personalized we-media image, low entry threshold of the internet, and
fast interactive connections with the audience. Along with the usage
of pictures, text, and audio-visual tools, the we-media operators built
relationships with their audience to further promote their brand and
image. They utilized not only the visual tools but also related business
management methods such as brand management, relationship marketing,
and customer loyalty. The we-media operators often grow through the
engagement with their audiences as they learn to adapt to common preferences.
The profits for the we-media operators of managing their brand were
expected to include more job opportunities, increased income, and other
possible benefits.
A Pedagogical Introduction to Parametric Modeling as a Formal Research Tool
Jancart, Sylvie; Stals, Adeline (Belgium)
ABSTRACT:
This paper starts with an overview of parametric modeling pedagogy in
architectural design, notably with regards to mathematical perspective,
and the inputs it generates in the design process. We focus on the pedagogical
approach developed within the course "Digital Culture and Generative
Processes of Form", part of the Master Program of the Faculty of Architecture
(University of Liège, Belgium). We then develop the evaluation methodology
applied in this context. Finally, we discuss the conduct of such a learning
process.
An Approach Towards a Native Voice Control System for the Web
Tebernum, Daniel; Altendeitering, Marcel; Atamantschuk, Sergej (Germany)
ABSTRACT:
Utilizing voice for human-computer interaction is becoming an increasingly
popular topic in practice as well as academia. Users value the improved
and more natural usability and for people, with certain disabilities,
it can be the only way to take part in the modern web-based society.
As a result, a solution is needed that enables a seamless interaction
with web pages and can be deployed without great effort. Existing solutions
do not sufficiently fulfill these requirements as they are often intended
for distinctive usage scenarios or are limited in their support of web
pages and web browsers. To overcome these disadvantages a novel voice
control system for web pages is presented in this paper. The proposed
JavaScript-based solution works natively in the web browser and automatically
provides access by voice commands to web pages and web applications.
In conclusion, possible future research directions and follow-up developments
are discussed.
An Empirical Analysis of the Influence of Seismic Data Modeling for Estimating Velocity Models with Fully Convolutional Networks
Campos, Luan Rios; Nogueira, Peterson; Moreira, Davidson; Nascimento, Erick Giovani Sperandio (Brazil)
ABSTRACT:
Seismic modeling is the process of simulating wave propagations in a
medium to represent underlying structures of a subsurface area of the
earth. This modeling is based upon a wave equation and it depends on
a set of parameters of the subsurface. Recent studies have demonstrated
that deep learning methods can be trained with seismic data to estimate
velocity models that give a representation of the subsurface where the
seismic data was generated. Thus, an analysis is made on the impact
that different sets of parameters have on the estimation of velocity
models by a fully convolutional network (FCN). The experiments varied
the number of sources among four options (1, 10, 25 or 50 shots) and
used three different ranges of peak frequencies: 4, 8 and 16 Hz. The
results demonstrated that, although the number of sources have more
influence on the computational time needed to train the FCN than the
peak frequency, both changes have significant impact on the quality
of the estimation. The best estimations were obtained with the experiment
of 25 sources with 4 Hz and increasing the peak frequency to 8 Hz improved
even more the results, especially regarding the FCN’s loss function.
Could the Development of On-Line Services Contribute to Global Competitiveness?
Tintin, Romel *; Altamirano, Patricio *; Chavez, Carmen *; Tintin, Liliana ** (* Ecuador, ** South Korea)
ABSTRACT:
The paper analyzes the United Nations (UN)’on-line services index (OSI),
which is one of the components of their e-government development index
(EGDI); and the World Economic Forum (WEF)’s global competitiveness
index (GCI). Then, we identify whether or not a Pearson "r" correlation
exists between these two indexes. To do so, we have analyzed indexes
from the years 2005, 2008, 2010, 2012, 2014, 2016 and 2018. Our findings
show that a high positive correlation does exist, and the respective
conclusions and further work are drawn from our findings. They showed
a general correlation average of 0.80 (high correlation) between the
OSI and GCI indexes studied, therefore it would stand to reason that
on-line services development does indeed contribute to the factors that
would improve global competitiveness, making this analysis not a causality
study.
Designing Digital Learning Environments
Miersch, Phillip; Jochem, Roland (Germany)
ABSTRACT:
The motivation and qualification of employees is a decisive success
factor for companies. In addition, keeping pace in times of digitalization
requires a constant build-up of skills, especially in small and medium-sized
enterprises (SMEs) in the manufacturing sector. Such companies therefore
often enter a market that offers external further trainings but in a
not very transparent way. Often these offers are cost-intensive and
often meet only a fraction of the actual expectations. The current technology
makes it possible to transfer learning objects such as real production
machines including their process flows into the virtual environment
and to make them tangible. This offers great potential for digital education,
as employees could acquire additional knowledge about processes or technologies
in a cost-effective and flexible way. A recommendation algorithm should
enable SMEs to identify their training needs and develop individual
offers, especially with regard to the learning arrangement.
Does a Career in Information Security Appeal to Women? An Empirical Analysis of Job Ads, Supplemented by Job Descriptions and Narratives
Fuhrmann, Frauke; Scholl, Margit (Germany)
ABSTRACT:
Information security is a fast-growing, forward-looking career offering
women good opportunities to assert their position and shape the development
of the field and the future alike. However, worldwide the proportion
of women in information security is very low. Increasing the number
of women would help address the anticipated labor shortage and integrate
diverse perspectives and experiences. In preparation for the development
of a gender-sensitive job profile in information security, we analyzed
existing ads in the field with regard to gender-sensitive images and
language as well as the preferences of women (and men) for certain job
characteristics and skill sets. The analysis was complemented by insights
derived from job descriptions and interviews with female and male experts
working in information security. Although the job ads highlight important
issues for women, there is still room for improvement if more women
(and men) are to be attracted to the field.
Erroneous Features in Freehand Sketching: Opportunities to Generate Visual Analogies
Luchian, Eric *; Sas, Corina ** (* United States, ** United Kingdom)
ABSTRACT:
The value of visual analogies in problem solving has been extensively
researched, with most of the work focusing on their benefits [1, 2,
3]. This study explores the much less investigated research question
of how visual analogies as cues for insight problem-solving are generated
using freehand sketching. More specifically, we focused on the creative
process of the first author who is a professional artist, to generate
two sets of visual analogies to support solving the classic <em>8-coin</em>
insight problem. First, a set of sketches was generated for analogies
capturing the problem insights through static images, while the second
set captured the problem insights through a dynamic, time-based media
format. We employed an experiential research method consisting of the
artist’s reflections on his freehand sketching practice in his creative
process. Inaccuracy of freehand sketches presents opportunities to generate
new concepts for analogy. This study contributes to a deeper understanding
of how visual cues can be generated, and what principles and tools,
in particular freehand sketching, and what methods of practice can be
used in research.
[1] G. Goldschmidt and M. Smolkov, "Variances in the impact of
visual stimuli on design problem solving performance," Design Studies,
vol. 27, no. 5, pp. 549-569, 2006.
[2] S. M. Smith and S. E. Blankenship, "Incubation and the persistence
of fixation in problem solving," The American Journal of Psychology,
vol. 104, no. 1, pp. 61-87, Spring 1991.
[3] K. N. Dundar, "How scientists really reason: Scientific reasoning
in real-world laboratories," in Mechanisms of insight, R. J. Sternberg
and J. Davidson, Eds., Cambridge, MA: MIT Press, 1995, pp. 365-395.
Holistic Development of Undergraduate Students – Concept Cartoons to Authentic Discovery
Das, Kausik S.; Gonick, Larry; Mitchell, Monica; Baldwin, Charles G.; Kairo, Moses (United States)
ABSTRACT:
This paper describes a holistic pedagogical approach for classroom engagement.
The project translates theory and fundamental classroom knowledge to
authentic application with cutting edge research implemented by undergraduates
at a Historically Black University. In our project, we developed and
assessed cartoons custom designed for classroom instruction and evaluated
student engagement while using the cartoons. We further report on student
successes achieved through undergraduate research projects.
Infor’s CSI / Mongoose in the Classroom: A Professor and Student Perspective
Barroca, Brandon; O’Sullivan, Jill (United States)
ABSTRACT:
Using industry products in the classroom are what makes a significant
difference in student learning and preparation into the workforce. Students
need skills sets that will differentiate them from other graduates when
seeking employment.
The partnership with Infor allows students at Farmingdale State College
to use the ERP CSI and Visual solutions prevalent in industry in the
classroom. This partnership allows for a synergy between Education and
Industry/Business that has resulted in many students obtaining jobs.
Infor and Farmingdale State College have a long-standing relationship
from our use of their Visual ERP tool through their premier solution
provider Synergy Resources to their new EAP program with CSI. The negotiated
endowment for the CSI offering has been in the classroom successfully
for a year now while the Visual tool has been in our class for more
than nine years. Winning awards and accolades from companies who hire
our students. Only through these very important Academic and Industry
partnerships can we mutually succeed. These tools used in Dr. O’Sullivan’s
ERP classes at Farmingdale State College is where Brandon Barroca is
the dedicated CSI Intern.
Internet-of-Things Supply Chain Solution
Lara Gracia, Marco A. (United States)
ABSTRACT:
Container terminals located all over the world are facing all kinds
of challenges to achieve and maintain a competitive position in the
multiple global supply chains they are part of. One of them is to maximize
the efficiency and performance of container handling operations. This
is the case, for instance, of the ports of Cartagena, Colombia and Savannah,
Georgia, USA, which are now servicing Post-Panamax containerships pretty
much in the same time interval they serve Panamax containerships. Post-Panamax
containerships can carry 12,000+ TEUs (Twenty Equivalent Units) whereas
Panamax containerships can carry up to 4,500 TEUs. A related issue is
the need of deepening and widening the port’s navigating channel and
replacing existing Ship-To-Shore (STS) cranes with bigger STS cranes
to accommodate Post-Panamax containerships. Other challenge is to electronically
connect in real time with global supply chains comprised of multiple
container terminals, shipping companies, custom brokers, port authorities,
end customers, etc., which requires the digitalization of logistics
and business processes. Related issues are secured sharing of data and
effective and purposeful use of data analysis. Another important challenge
faced by container terminals is to enforce port security. In this paper,
an Internet-of-Things solution is introduced to provide container terminals
and maritime ports technology-based means to maximize port security.
Managing Information Security System Technology Changes Across an Enterprise
Foltz, Kevin E.; Simpson, William R. (United States)
ABSTRACT:
The goal of information security systems in an enterprise is to make
the right information available to the right entities at the right times
and in the right formats while ensuring only authorized information
flows occur. The standard approach is to purchase a new system to meet
current needs. Patches, work-arounds, and added components satisfy the
changing future needs while creating an increasingly complex system,
and operational capability slowly degrades over time as complexity builds.
The system is then rebuilt from the ground up, at great cost and inconvenience,
and the cycle repeats. This paper describes an approach for constant
change. Instead of building the best system possible based on today’s
needs, only to replace it in the future, the goal is a system that is
capable of evolving toward a better future in a consistent and directed
way. This prevents one-off fixes from lingering, and it keeps the distributed
decision-making process aligned toward a common enterprise goal. Components
not consistent with future goals are identified and scheduled for replacement.
Current practices chosen for expedience are assigned expiration dates
to prevent them from becoming solidified in the future architecture.
The replacement cycle is applied to components of the system instead
of the entire system. This stops the cycle of complete replacements
by allowing constant change, which reduces overall cost and maintains
a more consistent operational capability.
Man-Machine Synergy in Systems for Critical Infrastructure Protection
La Manna, Mario (Italy)
ABSTRACT:
The protection of critical infrastructures has to cope with increasing
challenges, both in quality and in quantity. In order to provide effective
measures against the pressure of new and sophisticated threats and to
cover all security aspects, namely monitoring, detection and reaction,
coupling of machine learning and human judgment is paramount. This paper
proposes a novel methodology, based on a mixture of automated machine
learning and human judgment and demonstrates that this joint approach
is beneficial for the effective protection of critical infrastructures.
Mobile Application Based on Expert Systems for Decision Making of Microcredit Requests. Case Study.
Ortiz Zambrano, Jenny Alexandra; Alvarez Solís, Francisco Xavier; Medina Correa, Segundo Medina; Trejo Alarcón, Jhoana Elisabeth; Reyna León, Eduardo Javier; Yépez Suárez, Carlos Samuel (Ecuador)
ABSTRACT:
The originality of this proyect is that it is the first bank that gives
an immediate response to its clients that request micro-credits through
the proposal of an application that helps decision-making based on expert
systems in the requests of microcredits made by clients, thus reducing
the waiting time that is normally four and up to six days, in addition
to filling a endless documents that the client must submit as requirements
in any bank and for the existing problem of not being able to evaluate
a client creditily in the place of his micro business. The methodology
that was used for the development was the agile SCRUM methodology, the
same one that is attached to the project since each cycle is the functional
delivery of a part of the project to the client. It was possible to
reach the expectations set for the elaboration of the project: the mobile
application satisfies the needs of the users, allowing to consult information
online, which will be used for the analysis and evaluation of a microcredit
application, taking into consideration that there is no tool in the
area of microfinance that offers these services to the business advisor.
Performance Comparison of HyperFileSQL and MySQL in WinDev Applications for SMEs in Ecuador
Muñoz, Javier; Travez, Silvia; Fernández-Peña, Félix (Ecuador)
ABSTRACT:
Optimizing database operations can be translated into the reduction
of both, the time required to develop a software system and the time
spent carrying out management operations during software exploitation.
This paper focuses on the study of the persistence layer of WinDev’s
applications. The results of the experiments that were carried out show
that the performance when retrieving data using MySQL was increased
2.2 times. These results were statistically validated with a P-value
less than 0.1 in a t-test. The use of MySQL in WinDev applications increases
the performance of data management processes. These research results
have a big impact on software industry in Ecuador if we take into consideration
that WinDev is an IDE broadly used for the development of agile applications
at SMEs in the country.
Reliability Modeling and Optimization of CMOS Standard Cells
Beg, Azam *; Ramzan, Rashad ** (* United Arab Emirates, ** Pakistan)
ABSTRACT:
This paper presents a mathematical model-based method for calculating
the reliability of nanometric CMOS standard logic cells. The models
are useful in quickly identifying the supply voltages and MOS transistor
sizes that would result in low unreliability while lowering the power
and/or delay. By using the example of a medium-complexity cell, i.e.,
a full adder, we show how the reliability, power and delay can be considered
simultaneously to achieve an optimal cell design. The presented method
is scalable and is readily usable for other types of logic cells.
Short-Range Wind Speed Predictions in Subtropical Region Using Artificial Intelligence
Zucatelli, Pedro Junior *; Nascimento, Erick Giovani Sperandio *; Arce, Alejandro Mauricio Gutiérrez **; Moreira, Davidson Martins * (* Brazil, ** Uruguay)
ABSTRACT:
Short-range wind speed predictions for subtropical region is performed
by applying Artificial Neural Network (ANN) technique to the hourly
time series representative of the site. To train the ANN and validate
the technique, data for one year are collected by one tower, with anemometers
installed at heights of 101.8, 81.8, 25.7, and 10.0 m. Different ANN
configurations to Multilayer Perceptron (MLP), Recurrent Neural Network
(RNN), Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM),
a deep learning algorithm based method, are applied for each site and
height. A quantitative analysis is conducted and the statistical results
are evaluated to select the configuration that best predicts the real
data. These methods have lower computational costs than other techniques,
such as numerical modelling. The proposed method is an important scientific
contribution for reliable large-scale wind power forecasting and integration
into existing grid systems in Uruguay. The best results of the short-term
wind speed forecasting was for MLP, which performed the forecasts using
a hybrid method based on recursive inference, followed by LSTM, at all
the anemometer heights tested, suggesting that this method is a powerful
tool that can help the Administración Nacional de Usinas y Transmissiones
Eléctricas manage the national energy supply.
Solution-Focused Consultancy Work. Practice-Oriented Application of Distinction-Based Concepts Integrating Context Factors for Resilient Solutions
Stingl de Vasconcelos Guedes, Tilia; Belcredi, Philipp (Austria)
ABSTRACT:
For more than two decades now, systemic and systems-based approaches
have been broadly applied in management consultancy. Numerous definitions
attempt to describe the added value of a system-based consultancy—and
they mostly emphasize a supposedly holistic view of problems and solutions.
In Peter Senge’s work The Fifth Discipline, for instance, the
organizational learning approach or systems thinking offers perspectives,
methods and ideas that are still en vogue.
However, as can be seen in the daily work of a systemic consultant,
the greatest impact of this kind of work on leadership issues relies
on the very basic concepts of distinction-based approaches as described
by George Spencer-Brown or Niklas Luhmann. Being aware that any difference,
even one that is perceived as small, may be the difference and then
using this awareness as an impulse in the target direction is—as it
can be shown in various empirical studies (cf. Steve de Shazer or Insoo
Kim Berg)[1]—a very fast way for resilient solutions that include all
relevant context factors. Working in organizations as communicating
systems on the basis of differentiation/distinction rather than with
content or interpretation offers us the possibility to make any goals
of any type, even soft ones, manageable and controllable.
This paper uses data from an ongoing qualitative study that is part
of Philipp Belcredi’s postgraduate work and analyses them from the point
of view of theoretical concepts of distinction, second order cybernetics
and social systems theory.
This theoretical analysis spots parameters in solution-focused leadership
communication that produce more effective leadership outcomes, in terms
of both communication and results, and that locate innovative possibilities
for consultancy and leadership offered by aspects of second order observations.
[1] See e.g., Shazer, Steve, Putting difference to work. Norton, New
York, 1991 or Shazer, Steve &. Berg Insoo Kim, 'What works'. Remarks
on research aspects of solution-focused brief therapy. In: Journal of
Family Therapy 19, 1997
Techniques of Cognitive Neuroscience in the Assessment and Measurement of Environmental Public Service Announcements Effectiveness
Borawska, Anna; Borawski, Mariusz; Piwowarski, Mateusz (Poland)
ABSTRACT:
To raise awareness and engage the society in realization of environmental
goals one needs instruments that could change internal attitudes. For
this purpose, public awareness campaigns are used. Public service announcements
(PSAs) in the context of such campaigns require not only remembering
the content, but also understanding the importance of behavior that
is being promoted. Before launching, such PSAs are tested for their
effectiveness, mostly using questionnaires and interviews. Due to the
development of technology, other methods, i.e. cognitive neuroscience
techniques are currently available. Their usage is still not very common,
but they are promising in obtaining unconscious preferences of the audience.
The article aims to show, how cognitive neuroscience methods can be
applied to enhance the survey on public service announcement and what
kind of results may be achieved by merging the questionnaire and neurophysiological
data. As a case study, two Polish PSAs were chosen. The described procedure
of research can be used for testing PSAs that have not been yet launched
for the public.
The Age of Academic Globalization
Kang, Sukjin; Lee, Seungryul; Lee, Dongmyong (South Korea)
ABSTRACT:
This paper explores the Logos, Pathos, Ethos, and “Lechus” of higher
education across culture in the age of academic globalization. Instead
of following a formal syllogism, Logos is reoriented to overcome neocolonialism
supported by standardized massification and to create values and wealth
by respecting and reconciling cultural differences with a new AND Logic.
Academic globalization and higher education also need reorientation
of Pathos. Empathy, or concern for the other lies at the center of this
new reconceptualization. Here empathy signifies not only feeling what
someone else feels but ethical action for the other. Through the practice
of giving and taking, higher education can cultivate a new otherish
Ethos. All these otherish sequences primarily require unlearning
attitudes and creative imaginative power in higher education. The significance
of unlearning and educated imagination in the age of academic globalization
will be explored through a new coined term, Lechus.
The HTTP Error Response Extension Specification for the Emerging Self-Served API-Centric Architecture with AI Based Self-Healing Ability
Bai, Haoyue; Sharieh, Salah; Djosic, Nebojsa; Merca, Dinu (Canada)
ABSTRACT:
API-centric architecture using REST over HTTP is becoming more and more
popular these days. Within modern enterprises, the API requests and
responses often pass through a complex, nested layers of networking
and software structures. Typically, these software structures consist
of multiple layers of so called channel APIs, Business Domain middleware,
and backend, Data Store applications. In between them there are typically
multiple layers of network structures such as firewalls, switches, LTMs
(Local Traffic Management), routers, load balancers, reverse proxies.
An additional degree of complexity is introduced by adding messaging
layers to the more traditional request-response solutions. This emerging
trend is a result of splitting software development and operations work
across smaller, independent teams. This gives businesses more flexibility
and shorter release cycles. In this paper, we proposed an error response
extension specification, which will overcome shortages of the current
HTTP response status code standard, and various extensions, making it
be easier for API consumers to trouble shoot issues by themselves, it
will reduce support team workload, and keep the sensitive information
leak to a minimum to satisfy the best security practices. AI error processing
strategy is also included in the implementation of our specification.
The Outlines of an Art Machine
Mukhopadhyay, Tirtha Prasad; Jimenez, Victor Hugo (Mexico)
ABSTRACT:
In this paper we propose to examine the cognitive aspects of artistic
creation. Art objects are supposed to elicit emotional responses in
the viewer. Behavior related to the making of art objects are analysed.
Both visual art and artistic verbal expressions are considered for analysis.
Emotional appraisal is claimed to be indispensable to artistic creativity,
as opposed to appraisal objectives in design cognition where structural
variation and the resulting innovations produced could well be emotively
neutral in their appearance. The authors propose a heuristic and connective-functionalist
thesis of machine art following identification of responsive elements
for art as they are laid down in precepts of different philosophical
traditions. The insights deriving from ancient and contemporary traditions
demonstrate that innovative variation in art presupposes the presence
of a set of corresponding variations in visual patterns or linguistic
expressions that typify a range of expectations for target objects.
A database of categorically defined ‘genre’ of art should exhibit visual
or verbal preferences in interactions. Binary operations may be domain
specific depending on the kind of art that is under scrutiny, but from
a philosophical perspective, emotional representation must be assumed
to be indispensable across generic requirements.
Unsupervised Topic Labeling of Text Based on Wikipedia Categorization
Loskutova, Tetyana (South Africa)
ABSTRACT:
Defining text topicality is often an expensive problem that requires
significant resources for text labeling. Though many packages already
exist that provide dictionaries of labeled text, synonyms, and Part-of-Speach
tagging, the problem is ongoing as language develops and new meanings
of words and phrases emerge. This paper proposes a cheap in human labor
solution to topic labeling of any text in the majority of languages.
The methodology uses links to the naturally emerging corpus of labeled
text – the Wikipedia. Wikipedia categories are processed to extract
a weighted set of topic labels for the analyzed text. The approach is
evaluated by processing categorized texts and comparing the similarity
of the top ranks of topic labels to the text category. The topic labels
extracted using this methodology can be used for comparing similarity
of texts, for the assessment of the completeness of topic coverage in
automated marking of essays, and for coding in qualitative text analysis.
The paper contributes to the field of NLP by offering a cheap and organically
developing method of topical text labeling. The paper contributes to
the work of qualitative analysts by offering a methodology for the analysis
of interview transcripts and other unstructured text.