Search results for: online application

Authors: Jagoda Bruni, Jan Müller-Lucanus, Gernot Stöger-Knes

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The purpose of this article is to demonstrate modern project management approaches in the SAP S/R Hana surrounding a programming environment composed of multiple focus-diversified projects. We would like to propose innovative and goal-oriented management standards based on the specificity of the SAP transformations and customer-driven expectations. Due to the regular sprint-based controlling and management tools' application, it has been data-proven that extensive analysis of productive hours of the employees as much as a thorough review of the project progress (per GAP, per business process, and per Lot) within the whole program, can have a positive impact on customer satisfaction and improvement for projects' budget. This has been a collaborative study based on real-life experience and measurements in collaboration with our customers.

Keywords: project management, program management, SAP, controlling

Procedia PDF Downloads 84

Authors: M. De Filippo, J. S. Kuang

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In construction industry, reinforced concrete (RC) slabs represent fundamental elements of buildings and bridges. Different methods are available for analysing the structural behaviour of slabs. In the early ages of last century, the yield-line method has been proposed to attempt to solve such problem. Simple geometry problems could easily be solved by using traditional hand analyses which include plasticity theories. Nowadays, advanced finite element (FE) analyses have mainly found their way into applications of many engineering fields due to the wide range of geometries to which they can be applied. In such cases, the application of an elastic or a plastic constitutive model would completely change the approach of the analysis itself. Elastic methods are popular due to their easy applicability to automated computations. However, elastic analyses are limited since they do not consider any aspect of the material behaviour beyond its yield limit, which turns to be an essential aspect of RC structural performance. Furthermore, their applicability to non-linear analysis for modeling plastic behaviour gives very reliable results. Per contra, this type of analysis is computationally quite expensive, i.e. not well suited for solving daily engineering problems. In the past years, many researchers have worked on filling this gap between easy-to-implement elastic methods and computationally complex plastic analyses. This paper aims at proposing a numerical procedure, through which a pseudo-lower bound solution, not violating the yield criterion, is achieved. The advantages of moment distribution are taken into account, hence the increase in strength provided by plastic behaviour is considered. The lower bound solution is improved by detecting over-yielded moments, which are used to artificially rule the moment distribution among the rest of the non-yielded elements. The proposed technique obeys Nielsen’s yield criterion. The outcome of this analysis provides a simple, yet accurate, and non-time-consuming tool of predicting the lower-bound solution of the collapse load of RC slabs. By using this method, structural engineers can find the fracture patterns and ultimate load bearing capacity. The collapse triggering mechanism is found by detecting yield-lines. An application to the simple case of a square clamped slab is shown, and a good match was found with the exact values of collapse load.

Keywords: computational mechanics, lower bound method, reinforced concrete slabs, yield-line

Procedia PDF Downloads 174

Authors: Loulwah Bokhari, Jori Nazer, Hala Sultan

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Nowadays, artificial intelligence (AI) is used as a foundation for many activities in modern computing applications at home, in vehicles, and in businesses. Many modern machines are built to carry out a specific activity or purpose. This is where the Amazon Alexa application comes in, as it is used as a virtual assistant. The purpose of this paper is to explore the use of Amazon Alexa among people and how it has improved and made simple daily tasks easier for many people. We gave our participants several questions regarding Amazon Alexa and if they had recently used or heard of it, as well as the different tasks it provides and whether it successfully satisfied their needs. Overall, we found that participants who have recently used Alexa have found it to be helpful in their daily tasks.

Keywords: artificial intelligence, Echo system, machine learning, feature for feature match

Procedia PDF Downloads 116

Authors: Mehrnoosh Askarizadeh

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To meet the challenges of the new global environment, companies have started paying great attention towards quality management as an integral part of their strategic business plans. The purpose of this article is to investigate the relationship between total quality management (TQM) and knowledge management (KM). Successful total quality management implementation throughout the organizations requires major changes in the main four aspects of knowledge management, namely: Creating, storage, sharing and application. Skill, knowledge and productivity are important factors in organization’s success and have important role. Therefore, TQM management system pays special attention to it. However, knowledge as the source is essential for organization’s survival. Our study points out how the quality management and knowledge management have been incorporated into each other for the development of the quality culture within the organization.

Keywords: knowledge management (KM), total quality management (TQM), organizational performance (OP), deming cycle

Procedia PDF Downloads 476

Authors: A. Alshebani, Y. Swesi, S. Mrayed, F. Altaher, I. Musbah

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Cs-type nanocomposite zeolite membrane was successfully synthesized on an alumina ceramic hollow fibre with a mean outer diameter of 1.7 mm; cesium cationic exchange test was carried out inside test module with mean wall thickness of 230 μm and an average crossing pore size smaller than 0.2 μm. Separation factor of n-butane/H2 obtained indicate that a relatively high quality closed to 20. Maxwell-Stefan modeling provides an equivalent thickness lower than 1 µm. To compare the difference an application to CO2/N2 separation has been achieved, reaching separation factors close to (4,18) before and after cation exchange on H-zeolite membrane formed within the pores of a ceramic alumina substrate.

Keywords: MFI membrane, nanocomposite, ceramic hollow fibre, CO2, ion-exchange

Procedia PDF Downloads 294

Authors: I. McAndrew, K. L. Witcher, E. Navarro

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This paper presents the theory and application of low-speed flight for unmanned aerial vehicles when subjected to surface environmental conditions such as ice on the leading edge and upper surface. A model was developed and tested in a wind tunnel to see how theory compares with practice at various speed including take-off, landing and operational applications where head winds substantially alter parameters. Furthermore, a comparison is drawn with maned operations and how that this subject is currently under-supported with accurate theory or knowledge for designers or operators to make informed decision or accommodate individual applications. The effects of ice formation for lift and drag are determined for a range of different angles of attacks.

Keywords: aerodynamics, environmental influences, glide path ratio, unmanned vehicles

Procedia PDF Downloads 324

Authors: A. de Folly d’Auris, R. Bagatin, P. Filtri

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This paper discusses the importance of having a good initial characterization of soil samples when thermal desorption has to be applied to polluted soils for the removal of contaminants. Particular attention has to be devoted on the desorption kinetics of the samples to identify the gases evolved during the heating, and contaminant degradation pathways. In this study, two samples coming from different points of the same contaminated site were considered. The samples are much different from each other. Moreover, the presence of high initial quantity of heavy hydrocarbons strongly affected the performance of thermal desorption, resulting in formation of dangerous intermediates. Analytical techniques such TGA (Thermogravimetric Analysis), DSC (Differential Scanning Calorimetry) and GC-MS (Gas Chromatography-Mass) provided a good support to give correct indication for field application.

Keywords: desorption kinetics, hydrocarbons, thermal desorption, thermogravimetric measurements

Procedia PDF Downloads 288

Authors: Er-Yuan Chuang

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Bio-mimetic matters have biological functionalities. This might be valuable in the development of versatile biomaterials. At biological fields, protein-based materials might be components to form a 3D network of extracellular biomolecules, containing growth factors. Also, the protein-based biomaterial provides biochemical and structural assistance of adjacent cells. In this study, we try to prepare protein based biomaterial, which was harvested from living animal. We analyzed it’s chemical, physical and biological property in vitro. Besides, in vivo bio-interaction of the prepared biomimetic matrix was tested in an animal model. The protein-based biomaterial has degradability and biocompatibility. This development could be used for tissue regenerations and be served as platform technologies.

Keywords: protein based, in vitro study, in vivo study, biomaterials

Procedia PDF Downloads 182

Authors: Hacer Kobya Bulut, Ilknur Kahriman, Birsel C. Demirbag

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Introduction and Purpose: The lives of children with cancer are affected by long term hospitalizations in a negative way due to complications arising from diagnosis or treatment. However, the children's parents are known to have difficulties in meeting their children’s needs and providing home care after cancer treatment or during remission process. Supporting these children and their parents by giving a planned discharge training starting from the hospital and home care leads to reducing hospital applications, hospitalizations, hospital costs, shortening the length of hospital stay and increasing the satisfaction of the children with cancer and their families. This study was conducted to investigate the status of children and their parents' unplanned application to hospital and re-hospitalization. Methods: The study was carried out with 65 children with hematological malignancy in 0-17 age group and their families in a hematology clinic and polyclinic of a university hospital in Trabzon. Data were collected with survey methodology between August-November, 2015 through face to face interview using numbers, percentage and chi-square test in the evaluation. Findings: Most of the children were leukemia (90.8%) and 49.2% had been ill over 13 months. Few of the parents (32.3%) stated that they had received discharge and home care training (24.6%) but most of them (69.2%) found themselves enough in providing home care. Very few parents (6.2%) received home care training after their children being discharged and the majority of parents (61.5%) faced difficulties in home care and had no one to call around them. The parents expressed that in providing care to their children with hematological malignance, they faced difficulty in feeding them (74.6%), explaining their disease (50.0%), giving their oral medication (47.5%), providing hygiene (43.5%) and providing oral care (39.3%). The question ‘What are the emergency situations in which you have to bring your children to a doctor immediately?' was replied as fever (89.2%), severe nausea and vomiting (87.7%), hemorrhage (86.2%) and pain (81.5%). The study showed that 50.8% of the children had unplanned applications to hospitals and 33.8% of them identified as unplanned hospitalization and the first causes of this were fever and pain. The study showed that the frequency of applications (%78.8) and hospitalizations (%81.8) was higher for boys and a statistically significant difference was found between gender and unplanned applications (X=4.779; p=0.02). Applications (48.5%) and hospitalizations (40.9%) were found lower for the parents who had received hospital discharge training, and a significant difference was determined between receiving training and unplanned hospitalizations (X=8.021; p=0.00). Similarly, applications (30.3%) and hospitalizations (40.9%) was found lower for the ones who had received home care training, and a significant difference was determined between receiving home care training and unplanned hospitalizations (X=4.758; p=0.02). Conclusion: It was found out that caregivers of children with cancer did not receive training related to home care and complications about treatment after discharging from hospital, so they faced difficulties in providing home care and this led to an increase in unplanned hospital applications and hospitalizations.

Keywords: cancer, children, unplanned application, unplanned hospitalization

Procedia PDF Downloads 263

Authors: John Lloyd Angolluan, Jennile Caday, Crystal Mae Estrella, Reike Alliyah Taladua, Zion Michael Ysulat

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One of the requirements of having the ability to communicate in English is by having adequate vocabulary. Nowadays, people are more engaged in watching movie streams on which they can watch movies in a very portable way, such as Netflix. Wherein Netflix became global demand for online media has taken off in recent years. This research aims to know whether the use of bimodal subtitles on Netflix English movies can enhance vocabulary. This study is quantitative and utilizes a descriptive method, and this study aims to explore the use of bimodal subtitles on Netflix English movies to enhance the vocabulary of students. The respondents of the study were the selected Second-year English majors of Rizal Technological University Pasig and Boni Campus using the purposive sampling technique. The researcher conducted a survey questionnaire through the use of Google Forms. In this study, the weighted mean was used to evaluate the student's responses to the statement of the problems of the study of the use of bimodal subtitles on Netflix English movies. The findings of this study revealed that the bimodal subtitle on Netflix English movies enhanced students’ vocabulary learning acquisition by providing learners with access to large amounts of real and comprehensible language input, whether accidentally or intentionally, and it turns out that bimodal subtitles on Netflix English movies help students recognize vocabulary, which has a positive impact on their vocabulary building. Therefore, the researchers advocate that watching English Netflix movies enhances students' vocabulary by using bimodal subtitled movie material during their language learning process, which may increase their motivation and the usage of bimodal subtitles in learning new vocabulary. Bimodal subtitles need to be incorporated into educational film activities to provide students with a vast amount of input to expand their vocabulary.

Keywords: bimodal subtitles, Netflix, English movies, vocabulary, subtitle, language, media

Procedia PDF Downloads 78

Authors: Vahid Rashtchi, Ashkan Pirooz

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This paper applies the Imperialist Competitive Algorithm (ICA) to find the optimal place and size of Static Compensator (STATCOM) in power systems. The output of the algorithm is a two dimensional array which indicates the best bus number and STATCOM's optimal size that minimizes all bus voltage deviations from their nominal value. Simulations are performed on IEEE 5, 14, and 30 bus test systems. Also some comparisons have been done between ICA and the famous Particle Swarm Optimization (PSO) algorithm. Results show that how this method can be considered as one of the most precise evolutionary methods for the use of optimum compensator placement in electrical grids.

Keywords: evolutionary computation, imperialist competitive algorithm, power systems compensation, static compensators, voltage profile

Procedia PDF Downloads 597

Authors: Aries Nawel, Bentarzi Mohamed

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This paper deals with the study of some probabilistic and statistical properties of a Periodic Integer-Valued Moving Average Model (PINMA_{S}(q)). The closed forms of the mean, the second moment and the periodic autocovariance function are obtained. Furthermore, the time reversibility of the model is discussed in details. Moreover, the estimation of the underlying parameters are obtained by the Yule-Walker method, the Conditional Least Square method (CLS) and the Weighted Conditional Least Square method (WCLS). A simulation study is carried out to evaluate the performance of the estimation method. Moreover, an application on real data set is provided.

Keywords: periodic integer-valued moving average, periodically correlated process, time reversibility, count data

Procedia PDF Downloads 194

Authors: Ioannis Andrianakis, Vasileios Gkatas, Nikos Eleftheriadis, Alexios Ellinidis, Ermioni Avramidou

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pscmsForecasting is an open-source web service that implements a variety of time series forecasting algorithms and exposes them to the user via the ubiquitous HTTP protocol. It allows developers to enhance their applications by adding time series forecasting functionalities through an intuitive and easy-to-use interface. This paper provides some background on time series forecasting and gives details about the implemented algorithms, aiming to enhance the end user’s understanding of the underlying methods before incorporating them into their applications. A detailed description of the web service’s interface and its various parameterizations is also provided. Being an open-source project, pcsmsForecasting can also be easily modified and tailored to the specific needs of each application.

Keywords: time series, forecasting, web service, open source

Procedia PDF Downloads 78

Authors: Sara atibi, Azzeddine Atibi, Salim Ahmed, Khadija El Kababi

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Given the crucial impact of entrepreneurship on socio-economic development, nations are making various efforts to support and encourage it. Entrepreneurship education has proven to be a vital lever in stimulating business creation. This research is part of this dynamic, which is increasingly attracting the attention of educational policymakers. Indeed, entrepreneurship education provides students with the skills, knowledge, and motivation needed to succeed in various entrepreneurial contexts. it objective is to demonstrate the impact of entrepreneurship education on the development of entrepreneurial intention among students at Al Akhawayn University and to determine whether introducing this discipline at the secondary school level can strengthen this intention, with the aim of proposing measures to foster entrepreneurship. To achieve this objective, it conducted a literature review on entrepreneurship, entrepreneurial intention, and entrepreneurship education to draw from existing experiences in the field. it then carried out an exploratory study through a qualitative survey. it collected real data via an online questionnaire hosted on Google Drive. This questionnaire was tested on a sample of 100 students, adjusted, and validated by three university professors who are experts in the field, and then administered to the students of Al Akhawayn University. The results of our survey among students at Al Akhawayn University clearly show that the development of entrepreneurial intention increases among students who have taken entrepreneurship courses or participated in seminars, thus promoting business creation and entrepreneurship. A minority of these students still choose to work in the private or public sector; however, the majority express a strong desire to become entrepreneurs. We also noted that some students believe entrepreneurship depends solely on entrepreneurial training, while others think it relies on a combination of training, resources, and personal will.

Keywords: entrepreneurship education, entrepreneurial intention, business creation, al akhawayn university, secondary school curriculum

Procedia PDF Downloads 24

Authors: Agarana Michael C., Akinlabi Esther T., Pule Kholopane

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Innovation in manufacturing process technologies and associated product design affects the prospects for manufacturing today and in near future. In this study some theoretical methods, useful as tools in advanced manufacturing, are considered. In particular, some basic Mathematical, Operational Research, Heuristic, and Statistical techniques are discussed. These techniques/methods are very handy in many areas of advanced manufacturing processes, including process planning optimization, modelling and analysis. Generally the production rate requires the application of Mathematical methods. The Emerging Trends Processes in Advanced Manufacturing can be enhanced by using Mathematical Modelling and Optimization techniques.

Keywords: mathematical modelling, optimization, emerging trends, advanced manufacturing

Procedia PDF Downloads 290

Authors: Sasalanka Chamara Karunanayaka Pathirannehelage, Sarah Connelly

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Background: Knowledge, attitudes, and practices (KAP) toward the preventive aspect of COVID-19 are crucial for effective control and prevention of the disease. Sociodemographic factors can associate with KAP. This study aims to investigate KAP towards the preventive aspect of COVID-19 and associate sociodemographic factors among university nursing students at the University of Sunderland, 2021, United Kingdom. Methods: A cross-sectional online survey was conducted among 63 university nursing students between the 1st of July and the 13th of August 2021. A previously used, validated, self-administered questionnaire was applied to assess nursing students' KAP levels. Cross tabulation and chi-square were used to identify the associated sociodemographic factors with KAP. Results: Good knowledge was shown by 98.4% of respondents. 84.1 % of respondents reported positive attitudes, while 90.5% of respondents reported good practices toward the preventive aspect of COVID-19. The knowledge score of the students was significantly associated (p = 0.03) with the ethnicity of the respondents. Students' attitudes were significantly associated (p<0.05) with students' sex, student status (home student, international student), and course type (undergraduate student, postgraduate student). Student's age, student status, and course type were significantly associated (p < 0.05) with practices toward the preventive aspect of COVID-19. Conclusion: The finding of the study suggested that the university nursing student at the University of Sunderland demonstrate good knowledge, positive attitude, and good practice level towards the preventive aspect of COVID-19. Associated factors like age, sex, student status, and course type should be considered for effective strategies against COVID-19 as well as for future outbreaks.

Keywords: knowledge, attitudes, practices, nursing students

Procedia PDF Downloads 83

Authors: Christine Redmond

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This paper contributes to research on gendered, digital identities by exploring how selfies offer scope for disrupting and moving through gendered and racial ideals of feminine beauty. The selfie involves self-presentation, filters, captions, hashtags, online publishing, likes and more, constituting the relationship between subjectivity, practice and social use of selfies a complex process. Employing qualitative research methods on youth selfies in the UK, the author investigates interdisciplinary entangling between studies of social media and fields within gender, media and cultural studies, providing a material discursive treatment of the selfie as an embodied practice. Drawing on data collected from focus groups with teenage girls in East London, the study explores how girls experience and relate to selfies and snaps in their everyday lives. The author’s Deleuzean feminist approach suggests that bodies and selfies are not individual, disembodied entities between which there is a mediating inter-action. Instead, bodies and selfies are positioned as entangled to a point where it becomes unclear as to where a selfie ends and a body begins. Recognising selfies not just as images but as material and social assemblages opens up possibilities for unpacking the selfie in ways that move beyond the representational model in some studies of socially mediated digital images. The study reveals how the selfie functions to enable moments of empowerment within limiting, dominant ideologies of Euro-centrism, patriarchy and heteronormativity.

Keywords: affect theory, femininity, gender, heteronormativity, photography, selfie, snapchat

Procedia PDF Downloads 239

Authors: Anyaphat Srithanasuwan, Noppason Pangprasit, Montira Intanon, Phongsakorn Chuammitri, Witaya Suriyasathaporn, Ynte H. Schukken

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Streptococcus uberis is one of the most common mastitis-causing pathogens, with a wide range of intramammary infection (IMI) durations and pathogenicity. This study aimed to compare shared or unique virulence factor gene clusters distinguishing persistent and transient strains of S. uberis. A total of 139 S. uberis strains were isolated from three small-holder dairy herds with a high prevalence of S. uberis mastitis. The duration of IMI was used to categorize bacteria into two groups: transient and persistent strains with an IMI duration of less than 1 month and longer than 2 months, respectively. Six representative S. uberis strains, three from each group (transience and persistence) were selected for analysis. All transient strains exhibited multi-locus sequence types (MLST), indicating a highly diverse population of transient S. uberis. In contrast, MLST of persistent strains was available in an online database (pubMLST). Identification of virulence genes was performed using whole-genome sequencing (WGS) data. Differences in genomic size and number of virulent genes were found. For example, the BCA gene or alpha-c protein and the gene associated with capsule formation (hasAB), found in persistent strains, are important for attachment and invasion, as well as the evasion of the antimicrobial mechanisms and survival persistence, respectively. These findings suggest a genetic-level difference between the two strain types. Consequently, a comprehensive study of 139 S. uberis isolates will be conducted to perform an in-depth genetic assessment through WGS analysis on an Illumina platform.

Keywords: Streptococcus Uberis, mastitis, whole genome sequence, intramammary infection, persistent S. Uberis, transient s. Uberis

Procedia PDF Downloads 57

Authors: Anusha Sajjad, Sibtain Kazmi, Sadaf Sajjad, Ali Mohsin

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Shia Muslims, a distinct minority within the broader Muslim community, have a unique mourning practice set that remains underexplored in research. These practices hold cultural and religious significance and are essential to Shia spirituality. This study seeks to delve into the emotional and psychological dimensions of Shia Muslims' mourning rituals, specifically investigating how these practices serve as coping strategies during times of grief and adversity. The motivation for this research stems from a gap in understanding the psycho-spiritual aspects of Shia mourning, with a focus on the potential therapeutic value of these practices for individuals experiencing daily life stressors. This qualitative investigation employs an online survey conducted in September 2023 as the primary research method. Data was collected from a sample of 49 Shia Muslims who have actively participated in mourning rituals. Pearson's correlation test was applied to assess the relationship between participants’ reported feelings of mentally feeling ‘Lighter or Heavier' and their 'Coping' responses. Pearson's correlation analysis revealed a positive but relatively weak correlation between 'Mentally Feeling Lighter' and 'Coping' (r = 0.303) with a statistically significant p-value of 0.034. The findings suggest that there is a statistically significant positive correlation between feeling "Mentally Lighter" and coping, as reported by participants in Shia mourning rituals, although the strength of this correlation is relatively weak. This implies that individuals who feel "Mentally Lighter" are more likely to report coping effectively, but other factors likely contribute to the overall coping strategies employed by participants in this context. Further research with a larger sample size would be needed to strengthen this correlation further.

Keywords: shia, mourning, religion, coping

Procedia PDF Downloads 77

Authors: Siti Noor Baiti Binti Mustafa

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Energy management studies regarding energy efficiency investments in Malaysia has yet to address the lack of empirical research that examines pro- sustainability behavior of managers in the industrial sector and how it influences energy efficiency investment decision-making. This study adopts the Theory of Planned Behavior (TPB) to examine the relationship between personal attitude, subjective norms, and perceived behavioral control (PBC), the intention of energy efficiency investments, and how perceptions of Non-Energy Benefits (NEB) influence these intentions among managers in the industrial sector in Malaysia. Managers from various sub-sectors in the industrial sector were selected from a sample of companies that are participants of the Government-led program named the Energy Audit Conditional Grant (EACG) that aimed to promote energy efficiency. Data collection was conducted through an online semi-structured, open-ended questionnaire and then later interviewed. The results of this explorative sequential qualitative study showed that perceived behavioral control was a significant predictor of energy efficiency investment intentions as compared to factors such as attitude and subjective norms. The level of awareness and perceptions towards NEB further played a significant factor in influencing energy efficiency investment decision-making as well. Various measures and policy recommendations are provided together with insights on factors that influence decision-makers intention to invest in energy efficiency, whilst new knowledge on NEB perceptions will be useful to enhance the attractiveness of energy-efficient investments.

Keywords: energy efficiency investments, non-energy benefits, theory of planned behavior, personal attitude, subjective norms, perceived behavioral control, Malaysia industrial sector

Procedia PDF Downloads 117

Authors: Hyeon-Seung Kim, Sang-Mi Park, Sun-Ju Han, Leen-Seok Kang

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As BIM (Building Information Modeling) application continually expands, the visual simulation techniques used for facility design and construction process information are becoming increasingly advanced and diverse. For building structures, BIM application is design - oriented to utilize 3D objects for conflict management, whereas for civil engineering structures, the usability of nD object - oriented construction stage simulation is important in construction management. Simulations of 5D and 6D objects, for which cost and resources are linked along with process simulation in 4D objects, are commonly used, but they do not provide a decision - making function for process management problems that occur on site because they mostly focus on the visual representation of current status for process information. In this study, an nD CAD system is constructed that facilitates an optimized schedule simulation that minimizes process conflict, a construction duration reduction simulation according to execution progress status, optimized process plan simulation according to project cost change by year, and optimized resource simulation for field resource mobilization capability. Through this system, the usability of conventional simple simulation objects is expanded to the usability of active simulation objects with which decision - making is possible. Furthermore, to close the gap between field process situations and planned 4D process objects, a technique is developed to facilitate a comparative simulation through the coordinated synchronization of an actual video object acquired by an on - site web camera and VR concept 4D object. This synchronization and simulation technique can also be applied to smartphone video objects captured in the field in order to increase the usability of the 4D object. Because yearly project costs change frequently for civil engineering construction, an annual process plan should be recomposed appropriately according to project cost decreases/increases compared with the plan. In the 5D CAD system provided in this study, an active 5D object utilization concept is introduced to perform a simulation in an optimized process planning state by finding a process optimized for the changed project cost without changing the construction duration through a technique such as genetic algorithm. Furthermore, in resource management, an active 6D object utilization function is introduced that can analyze and simulate an optimized process plan within a possible scope of moving resources by considering those resources that can be moved under a given field condition, instead of using a simple resource change simulation by schedule. The introduction of an active BIM function is expected to increase the field utilization of conventional nD objects.

Keywords: 4D, 5D, 6D, active BIM

Procedia PDF Downloads 273

Authors: Hachmia Faqihi, Maarouf Saad, Khalid Benjelloun, Mohammed Benbrahim, M. Nabil Kabbaj

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This paper investigates and presents a cable-driven robot to lower limb rehabilitation use in sagittal plane. The presented rehabilitation robot is used for a trajectory tracking in joint space. The paper covers kinematic and dynamic analysis, which reveals the tensionability of the used cables as being the actuating source to provide a rehabilitation exercises of the human leg. The desired trajectory is generated to be used in the control system design in joint space. The obtained simulation results is showed to be efficient in this kind of application.

Keywords: cable-driven multi-body system, computed-torque controller, lower limb rehabilitation, tracking trajectory

Procedia PDF Downloads 382

Authors: Bahman Gorjian

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The notorious COVID-19 is known as an illness that is caused by a novel coronavirus. Since its breakthrough, most governments have decided to temporarily close educational institutions in an attempt to reduce the spread of this disease. Distance education in Iran, like other countries, started from the beginning of the pandemic and caused the closure of schools and universities as an immediate response to control the spread of the virus. The present study followed two aims: First, to investigate if Iraqi M.A students majoring in TEFL who have been studying in Iranian universities during the pandemic believe that COVID-19 had negative/positive effects on their educational achievement; and second, to find how frequently these Iraqi M.A students have experienced psychological problems (e.g., anxiety, numbness, nightmares, nervousness) during the COVID-19. The participants were both male and female students who were admitted for M.A. TEFL courses at 4 Iranian Universities (Abadan Brach, Ahvaz Branch, Science and Research Branch, and Shiraz Branch of Islamic Azad University) for the winter academic term of 2020. The start of their classes coincided with the global outbreak of COVID-19. They were invited to take part in the present study through snowball sampling and were asked to provide their views on two questionnaires. The instruments used for gathering the data were the educational achievement questionnaire and self-rating anxiety scale. The results of the analysis suggested that the participants believed in the negative effects of COVID-19 on their education; the results also suggested COVID-19 affected participants’ psychological states. The discussed findings may have implications for international students and experts interested in the online education system.

Keywords: COVID-19, distance education, Iraqi M.A. students, teaching English as a foreign language, educational impacts, psychological impacts

Procedia PDF Downloads 73

Authors: A. Alshebani, Y. Swesi, S. Mrayed, F. Altaher, I. Musbah

Abstract:

Cs-type nanocomposite zeolite membrane was successfully synthesized on a alumina ceramic hollow fibre with a mean outer diameter of 1.7 mm, cesium cationic exchange test was carried out inside test module with mean wall thickness of 230 μm and an average crossing pore size smaller than 0.2 μm. Separation factor of n-butane/H2 obtained indicate that a relatively high quality closed to 20. Maxwell-Stefan modeling provides an equivalent thickness lower than 1 µm. To compare the difference an application to CO2/N2 separation has been achieved, reaching separation factors close to (4,18) before and after cation exchange on H-zeolite membrane formed within the pores of a ceramic alumina substrate.

Keywords: MFI membrane, CO2, nanocomposite, ceramic hollow fibre, ion-exchange

Procedia PDF Downloads 480

Authors: Zakariyya Hassan Abdullahi, Zainab Suleiman Abdullahi, Nuhu Alhaji Muhammad

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In this paper, a thorough review of photovoltaic and photovoltaic thermal systems is done on the basis of its performance based on electrical as well as thermal output. Photovoltaic systems are classified according to their use, i.e., electricity production, and thermal, Photovoltaic systems behave in an extraordinary and useful way, they react to light by transforming part of it into electricity useful way and unique, since photovoltaic and thermal applications along with the electricity production. The application of various photovoltaic systems is also discussed in detail. The performance analysis including all aspects, e.g., electrical, thermal, energy, and energy efficiency are also discussed. A case study for PV and PV/T system based on energetic analysis is presented.

Keywords: photovoltaic, renewable, performance, efficiency, energy

Procedia PDF Downloads 507

Authors: Zainab Alghali Elsaid Muhammed

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Background : IBS is a gastrointestinal disorder characterized by a variety of symptoms that occur concurrently. It is very common and is associated with high levels of psychiatric comorbidities, all of which have a negative impact on the patient's quality of life. Abdominal pain, diarrhea, constipation, excess gas, and bloating are common symptoms of IBS. Objectives : The purpose of this study is to determine the prevalence of IBS among medical students and intern doctors in Sudan, as well as the risk factors associated with it. Study design: This cross-sectional study was carried out in Sudan from April to July 2022. All participants completed a six-part online questionnaire. The ROME IV criteria questionnaire was used to make an IBS diagnosis. Participants completed the hospital anxiety and depression questionnaire in order to be diagnosed with anxiety and depression. Results : 600 participants filled out the questionnaire. The overall prevalence of IBS was found to be 42%, with females being the most affected. Intern doctors had higher IBS rates (30.0%) than medical students, but this was not statistically significant. Single status (p =0.079), good GPAs (p =0.00), had significant associations with IBS occurrence. Other significantly associated habits were sleeping less than 8 hours (p =0.013), two cups or less of coffee per day (p = 0.109), No smoking (p =0.001), and No exercise (p =0.00, IBS participants were also found to have a significant relationship with abnormal anxiety (p =0.00) and borderline depression (p=0.0156). Conclusion : The high prevalence of IBS in this study suggests that medical students and interns are unable to recognize their symptoms. The main IBS predictors in this study were suffering from anxiety or depression, having an insufficient income, sleeping less than 8 hours per day, working/ studying more than 8 hours per day, and not performing any type of exercise.

Keywords: irritable bowel syndrome, sudan, HADS, rome IV, medical students

Procedia PDF Downloads 97

Authors: Huayuan Lu, Chunfang Yang, Ma Zhu, Baojun Qi, Yaqiong Qiao, Jiangqian Xu

Abstract:

Image geolocalization has great application prospects in fields such as autonomous driving and virtual/augmented reality. In practical application scenarios, the size of the image to be located is not fixed; it is impractical to train different networks for all possible sizes. When its size does not match the size of the input of the descriptor extraction model, existing image geolocalization methods usually directly scale or crop the image in some common ways. This will result in the loss of some information important to the geolocalization task, thus affecting the performance of the image geolocalization method. For example, excessive down-sampling can lead to blurred building contour, and inappropriate cropping can lead to the loss of key semantic elements, resulting in incorrect geolocation results. To address this problem, this paper designs a learnable image resizer and proposes an arbitrary-sized image geolocation method. (1) The designed learnable image resizer employs the self-attention mechanism to enhance the geometric features of the resized image. Firstly, it applies bilinear interpolation to the input image and its feature maps to obtain the initial resized image and the resized feature maps. Then, SKNet (selective kernel net) is used to approximate the best receptive field, thus keeping the geometric shapes as the original image. And SENet (squeeze and extraction net) is used to automatically select the feature maps with strong contour information, enhancing the geometric features. Finally, the enhanced geometric features are fused with the initial resized image, to obtain the final resized images. (2) The proposed image geolocalization method embeds the above image resizer as a fronting layer of the descriptor extraction network. It not only enables the network to be compatible with arbitrary-sized input images but also enhances the geometric features that are crucial to the image geolocalization task. Moreover, the triplet attention mechanism is added after the first convolutional layer of the backbone network to optimize the utilization of geometric elements extracted by the first convolutional layer. Finally, the local features extracted by the backbone network are aggregated to form image descriptors for image geolocalization. The proposed method was evaluated on several mainstream datasets, such as Pittsburgh30K, Tokyo24/7, and Places365. The results show that the proposed method has excellent size compatibility and compares favorably to recently mainstream geolocalization methods.

Keywords: image geolocalization, self-attention mechanism, image resizer, geometric feature

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Authors: Thomas Njuguna Kibutu

Abstract:

The ability to access justice is an important facet of securing peaceful, just, and inclusive societies, as recognized by Goal 16 of the 2030 Agenda for Sustainable Development. Goal 16 calls for peace, justice, and strong institutions to promote the rule of law and access to justice at a global level. More specifically, Target 16.3 of the Goal aims to promote the rule of law at the national and international levels and ensure equal access to justice for all. On the other hand, it is now widely recognized that Alternative Dispute Resolution (hereafter, ADR) represents an efficient mechanism for resolving disputes outside the adversarial conventional court system of litigation or prosecution. ADR processes include but are not limited to negotiation, reconciliation, mediation, arbitration, and traditional conflict resolution. ADR has a number of advantages, including being flexible, cost-efficient, time-effective, and confidential, and giving the parties more control over the process and the results, thus promoting restorative justice. The methodology of this paper is a desktop review of books, journal articles, reports and government documents., among others. The paper recognizes that ADR represents a cornerstone of Africa’s, and more specifically, Kenya’s, efforts to promote inclusive, accountable, and effective institutions and achieve the objectives of goal 16. In Kenya, and not unlike many African countries, there has been an outcry over the backlog of cases that are yet to be resolved in the courts and the statistics have shown that the numbers keep on rising. While ADR mechanisms have played a major role in reducing these numbers, access to justice in the country remains a big challenge, especially to the subaltern. There is, therefore, a need to analyze the opportunities and challenges facing the application of ADR mechanisms as tools for accessing justice in Kenya and further discuss various ways in which we can overcome these challenges to make ADR an effective alternative to dispute resolution. The paper argues that by embracing ADR across various sectors and addressing existing shortcomings, Kenya can, over time, realize its vision of a more just and equitable society. This paper discusses the opportunities and challenges of the application of ADR in Kenya with a view to sharing the lessons and challenges with the wider African continent. The paper concludes that ADR mechanisms can provide critical pathways to justice in Kenya and the African continent in general but come with distinct challenges. The paper thus calls for concerted efforts of respective stakeholders to overcome these challenges.

Keywords: mediation, arbitration, negotiation, reconsiliation, Traditional conflict resolution, sustainable development

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Authors: Chandimal Jayawardena, Ridmal Mendis, Manoji Tennakoon, Theekshana Wijayathilaka, Randima Marasinghe

Abstract:

This research paper defines the research area of the implementation of the socially assistive robot (SLIITBOT). It consists of the overall process implemented within the robot’s system and limitations, along with a literature survey. This project considers developing a socially assistive robot called SLIITBOT that will interact using its voice outputs and graphical user interface with people within the university and benefit them with updates and tasks. The robot will be able to detect a person when he/she enters the room, navigate towards the position the human is standing, welcome and greet the particular person with a simple conversation using its voice, introduce the services through its voice, and provide the person with services through an electronic input via an app while guiding the person with voice outputs.

Keywords: application, detection, dialogue, navigation

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Authors: Wei-Ru Chang, Jenn-Jiang Hwang, Zen-Ting Hsiao, Shu-Feng Lee

Abstract:

Proton exchange membrane (PEM) fuel cells are widely used in electrical systems as an economical, low-polluting energy source. This study investigates the effects of PEMFC gas nitriding treatment on metal bipolar plates. The test material was SUS304 stainless steel. The study explored five different pretreatment processes, varying the corrosion resistance and electrical conductivity conditions. The most effective process was industrial acid washing, followed by heating to 500 °C. Under the condition, the corrosion current density was 8.695 μA, significantly lower than that of the untreated pretreatment sample flakes, which was measured as 38.351 μA.

Keywords: nitriding, bipolar, 304, corrosion, resistance, pretreatment

Procedia PDF Downloads 1076