Search results for: scheduling problems
3793 Students’ Views on Mathematics Learning: A Cross-Sectional Survey of Senior Secondary Schools Students in Katsina State of Nigeria
Authors: Fahad Suleiman
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The aim of this paper is to study students’ view on mathematics learning in Katsina State Senior Secondary Schools of Nigeria, such as their conceptions of mathematics, attitudes toward mathematics learning, etc. A questionnaire was administered to a random sample of 1,225 senior secondary two (SS II) students of Katsina State in Nigeria. The data collected showed a clear picture of the hurdles that affect the teaching and learning of mathematics in our schools. Problems such as logistics and operational which include shortage of mathematics teachers, non–availability of a mathematics laboratory, etc. were identified. It also depicted the substantial trends of changing views and attitudes toward mathematics across secondary schools. Students’ responses to the conception of mathematics were consistent and they demonstrated some specific characteristics of their views in learning mathematics. This survey has provided useful information regarding students’ needs and aspirations in mathematics learning for curriculum planners and frontline teachers for future curriculum reform and implementation.Keywords: attitudes, mathematics, students, teacher
Procedia PDF Downloads 3253792 The Effect of User Comments on Traffic Application Usage
Authors: I. Gokasar, G. Bakioglu
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With the unprecedented rates of technological improvements, people start to solve their problems with the help of technological tools. According to application stores and websites in which people evaluate and comment on the traffic apps, there are more than 100 traffic applications which have different features with respect to their purpose of usage ranging from the features of traffic apps for public transit modes to the features of traffic apps for private cars. This study focuses on the top 30 traffic applications which were chosen with respect to their download counts. All data about the traffic applications were obtained from related websites. The purpose of this study is to analyze traffic applications in terms of their categorical attributes with the help of developing a regression model. The analysis results suggest that negative interpretations (e.g., being deficient) does not lead to lower star ratings of the applications. However, those negative interpretations result in a smaller increase in star rate. In addition, women use higher star rates than men for the evaluation of traffic applications.Keywords: traffic app, real–time information, traffic congestion, regression analysis, dummy variables
Procedia PDF Downloads 4283791 Experimental Technique to Study Colloid Deposition in Porous Media
Authors: Abdelkader Djehiche, Mostefa Gafsi, Henri Bertin, Aziz Omari
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The flows of colloidal suspensions in porous media find many applications in fields such as Petroleum, Hydraulic engineering, deep-bed filtration. For each application, the scientific problems can be summarized the flow in porous medium of a colloidal suspension whose particles having characteristic dimension is considerable in comparison with the pores dimension. In certain cases, one can observe a deposit of particles on the surface of the pores which results in a significant modification in the physical properties of the porous medium. The objective of our study is to use a non-destructive experimental method, the attenuation of g-rays, to study the influence of the number of Peclet on the deposit of latex particles in a consolidated porous medium. The first results obtained show a good agreement between local and global measurements of the deposit of the particles in porous medium. The deposit takes place in a progressive way along the porous medium and leads to a monolayer deposit of which the average thickness is of about the size diameter of the colloidal particles.Keywords: colloid, gamma ray, Peclet number, permeability, porous medium
Procedia PDF Downloads 1853790 The Relationship between Urbanization and the Rapid Development of Real Estate Industry in China: Taking Chongqing as an Example
Authors: Deng Tingting
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There is a very close interaction between the rapid development of the real estate industry and regional urbanization. The real estate problem can be boiled down to the problem of urbanization, in essence. The growth of hundreds of millions of people in the future will determine the development of low-level demand in the real estate market. At the same time, the practical problems of urbanization also seriously restrict the healthy development of real estate itself. The latter two interact with each other by adjusting the industrial structure, economic aggregate, regional population flow, and many other linkage factors. Through the case analysis of Chongqing, this paper finds that the urbanization of Chongqing and the overall development level of the real estate industry are still in the stage of development and upgrading, and its development potential and future development and application space are still very large. Therefore, from the perspective of the regional economy, studying the interaction between the two is of great significance to accelerate the process of urbanization in Chongqing, promote the healthy development of the real estate industry, and promote the rapid growth of the regional economy.Keywords: urbanization, demographics, real estate, interrelationships
Procedia PDF Downloads 1303789 Post-Conflict; The Shift of Social Values of Women in Aceh Indonesia Islamic Law
Authors: Khairul Hasni
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A Memorandum of Understanding (MoU) for the cessation of hostilities was signed by Aceh's longstanding adversaries (the Government of Indonesia and the Free Aceh Movement (GAM) in August 2005. The Government of Indonesia has given the autonomy to Aceh Province of Indonesia, the Law Number 11 of 2006 the authority of the Aceh government to the implementation of the Islamic Sharia. The implementation of Islamic Sharia, Aceh can be a role model of Islam that glorifies women, the implementation of Islamic law in Aceh when enacted and got legality because it supported the socio-cultural and historical community. The value of the value of women's lives is shifted under the pressure of applying Islamic law, with this argument, the importance of justice and equality of policy enforcement in women's lives. Based on interviews conducted in 2016 and 2017 with women's activists, government officials, women non-governmental organizations in Aceh, this paper finds that there is lack of gender balance because of the many problems involving women in the enactment of regional regulations and control policies on women's bodies. The research points to ensure the implementation of Islamic Sharia practitioners have only directed to women and discrimination against women.Keywords: women, policy, Islamic law, social
Procedia PDF Downloads 2963788 Modified InVEST for Whatsapp Messages Forensic Triage and Search through Visualization
Authors: Agria Rhamdhan
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WhatsApp as the most popular mobile messaging app has been used as evidence in many criminal cases. As the use of mobile messages generates large amounts of data, forensic investigation faces the challenge of large data problems. The hardest part of finding this important evidence is because current practice utilizes tools and technique that require manual analysis to check all messages. That way, analyze large sets of mobile messaging data will take a lot of time and effort. Our work offers methodologies based on forensic triage to reduce large data to manageable sets resulting easier to do detailed reviews, then show the results through interactive visualization to show important term, entities and relationship through intelligent ranking using Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA) Model. By implementing this methodology, investigators can improve investigation processing time and result's accuracy.Keywords: forensics, triage, visualization, WhatsApp
Procedia PDF Downloads 1663787 AM/E/c Queuing Hub Maximal Covering Location Model with Fuzzy Parameter
Authors: M. H. Fazel Zarandi, N. Moshahedi
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The hub location problem appears in a variety of applications such as medical centers, firefighting facilities, cargo delivery systems and telecommunication network design. The location of service centers has a strong influence on the congestion at each of them, and, consequently, on the quality of service. This paper presents a fuzzy maximal hub covering location problem (FMCHLP) in which travel costs between any pair of nodes is considered as a fuzzy variable. In order to consider the quality of service, we model each hub as a queue. Arrival rate follows Poisson distribution and service rate follows Erlang distribution. In this paper, at first, a nonlinear mathematical programming model is presented. Then, we convert it to the linear one. We solved the linear model using GAMS software up to 25 nodes and for large sizes due to the complexity of hub covering location problems, and simulated annealing algorithm is developed to solve and test the model. Also, we used possibilistic c-means clustering method in order to find an initial solution.Keywords: fuzzy modeling, location, possibilistic clustering, queuing
Procedia PDF Downloads 3913786 The Location Problem of Electric Vehicle Charging Stations: A Case Study of Istanbul
Authors: Müjde Erol Genevois, Hatice Kocaman
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Growing concerns about the increasing consumption of fossil energy and the improved recognition of environmental protection require sustainable road transportation technology. Electric vehicles (EVs) can contribute to improve environmental sustainability and to solve the energy problem with the right infrastructure. The problem of where to locate electric vehicle charging station can be grouped as decision-making problems because of including many criteria and alternatives that have to be considered simultaneously. The purpose of this paper is to present an integrated AHP and TOPSIS model to rank the optimal sites of EVs charging station in Istanbul, Turkey. Ten different candidate points and three decision criteria are identified. The performances of each candidate points with respect to criteria are obtained according to AHP calculations. These performances are used as an input for TOPSIS method to rank the candidate points. It is obtained accurate and robust results by integrating AHP and TOPSIS methods.Keywords: electric vehicle charging station (EVCS), AHP, TOPSIS, location selection
Procedia PDF Downloads 3233785 The Appraisal of Construction Sites Productivity: In Kendall’s Concordance
Authors: Abdulkadir Abu Lawal
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For the dearth of reliable cardinal numerical data, the linked phenomena in productivity indices such as operational costs and company turnovers, etc. could not be investigated. This would not give us insight to the root of productivity problems at unique sites. So, ordinal ranking by professionals who were most directly involved with construction sites was applied for Kendall’s concordance. Responses gathered from independent architects, builders/engineers, and quantity surveyors were herein analyzed. They were responses based on factors that affect sites productivity, and these factors were categorized as head office factors, resource management effectiveness factors, motivational factors, and training/skill development factors. It was found that productivity is low and has to be improved in order to facilitate Nigerian efforts in bridging its infrastructure deficit. The significance of this work is underlined with the Kendall’s coefficient of concordance of 0.78, while remedial measures must be emphasized to stimulate better productivity. Further detailed study can be undertaken by using Fuzzy logic analysis on wider Delphi survey.Keywords: factors, Kendall's coefficient of concordance, magnitude of agreement, percentage magnitude of dichotomy, ranking variables
Procedia PDF Downloads 6263784 Adaptive Neuro Fuzzy Inference System Model Based on Support Vector Regression for Stock Time Series Forecasting
Authors: Anita Setianingrum, Oki S. Jaya, Zuherman Rustam
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Forecasting stock price is a challenging task due to the complex time series of the data. The complexity arises from many variables that affect the stock market. Many time series models have been proposed before, but those previous models still have some problems: 1) put the subjectivity of choosing the technical indicators, and 2) rely upon some assumptions about the variables, so it is limited to be applied to all datasets. Therefore, this paper studied a novel Adaptive Neuro-Fuzzy Inference System (ANFIS) time series model based on Support Vector Regression (SVR) for forecasting the stock market. In order to evaluate the performance of proposed models, stock market transaction data of TAIEX and HIS from January to December 2015 is collected as experimental datasets. As a result, the method has outperformed its counterparts in terms of accuracy.Keywords: ANFIS, fuzzy time series, stock forecasting, SVR
Procedia PDF Downloads 2453783 Finite State Markov Chain Model of Pollutants from Service Stations
Authors: Amina Boukelkoul, Rahil Boukelkoul, Leila Maachia
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The cumulative vapors emitted from the service stations may represent a hazard to the environment and the population. Besides fuel spill and their penetration into deep soil layers are the main contributors to soil and ground-water contamination in the vicinity of the petrol stations. The amount of the effluents from the service stations depends on strategy of maintenance and the policy adopted by the management to reduce the pollution. One key of the proposed approach is the idea of managing the effluents from the service stations which can be captured via use of a finite state Markov chain. Such a model can be embedded within a probabilistic operation and maintenance simulation reflecting the action to be done. In this paper, an approach of estimating a probabilistic percentage of the amount of emitted pollutants is presented. The finite state Markov model is used for decision problems with number of determined periods (life cycle) to predict the amount according to various options of operation.Keywords: environment, markov modeling, pollution, service station
Procedia PDF Downloads 4703782 External Strengthening of RC Continuous Beams Using FRP Plates: Finite Element Model
Authors: Mohammed A. Sakr, Tarek M. Khalifa, Walid N. Mansour
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Fiber reinforced polymer (FRP) installation is a very effective way to repair and strengthen structures that have become structurally weak over their life span. This technique attracted the concerning of researchers during the last two decades. This paper presents a simple uniaxial nonlinear finite element model (UNFEM) able to accurately estimate the load-carrying capacity, different failure modes and the interfacial stresses of reinforced concrete (RC) continuous beams flexurally strengthened with externally bonded FRP plates on the upper and lower fibers. Results of the proposed finite element (FE) model are verified by comparing them with experimental measurements available in the literature. The agreement between numerical and experimental results is very good. Considering fracture energy of adhesive is necessary to get a realistic load carrying capacity of continuous RC beams strengthened with FRP. This simple UNFEM is able to help design engineers to model their strengthened structures and solve their problems.Keywords: continuous beams, debonding, finite element, fibre reinforced polymer
Procedia PDF Downloads 4803781 Application of Deep Learning in Colorization of LiDAR-Derived Intensity Images
Authors: Edgardo V. Gubatanga Jr., Mark Joshua Salvacion
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Most aerial LiDAR systems have accompanying aerial cameras in order to capture not only the terrain of the surveyed area but also its true-color appearance. However, the presence of atmospheric clouds, poor lighting conditions, and aerial camera problems during an aerial survey may cause absence of aerial photographs. These leave areas having terrain information but lacking aerial photographs. Intensity images can be derived from LiDAR data but they are only grayscale images. A deep learning model is developed to create a complex function in a form of a deep neural network relating the pixel values of LiDAR-derived intensity images and true-color images. This complex function can then be used to predict the true-color images of a certain area using intensity images from LiDAR data. The predicted true-color images do not necessarily need to be accurate compared to the real world. They are only intended to look realistic so that they can be used as base maps.Keywords: aerial LiDAR, colorization, deep learning, intensity images
Procedia PDF Downloads 1643780 Teaching for Knowledge Transfer: Best Practices from a Graduate-Level Educational Psychology Distance Learning Program
Authors: Bobby Hoffman
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One measure of effective instruction is the ability to solve authentic, real-world problems by effectively transferring and applying classroom and textbook knowledge. While many students can productively earn high grades and learn course content, they are not always able to apply the knowledge they gain. As such, this quasi-experimental study compared the comprehensive exit exam results of learners across instructional modalities who completed a prominent graduate-level educational psychology program. ANCOVA revealed superior knowledge transfer for blended-learning students compared to those who completed distance education and significantly greater transfer of declarative, procedural, and self-regulatory knowledge by the blended-learning students. This paper briefly summarizes the study results while highlighting evidence-based programmatic and course level modifications that were implemented to specifically address the transfer of learning and practical application of educational psychology knowledge.Keywords: assessment, distance learning, educational psychology, knowledge transfer
Procedia PDF Downloads 1763779 Genetic Algorithms for Feature Generation in the Context of Audio Classification
Authors: José A. Menezes, Giordano Cabral, Bruno T. Gomes
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Choosing good features is an essential part of machine learning. Recent techniques aim to automate this process. For instance, feature learning intends to learn the transformation of raw data into a useful representation to machine learning tasks. In automatic audio classification tasks, this is interesting since the audio, usually complex information, needs to be transformed into a computationally convenient input to process. Another technique tries to generate features by searching a feature space. Genetic algorithms, for instance, have being used to generate audio features by combining or modifying them. We find this approach particularly interesting and, despite the undeniable advances of feature learning approaches, we wanted to take a step forward in the use of genetic algorithms to find audio features, combining them with more conventional methods, like PCA, and inserting search control mechanisms, such as constraints over a confusion matrix. This work presents the results obtained on particular audio classification problems.Keywords: feature generation, feature learning, genetic algorithm, music information retrieval
Procedia PDF Downloads 4333778 A Large Dataset Imputation Approach Applied to Country Conflict Prediction Data
Authors: Benjamin Leiby, Darryl Ahner
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This study demonstrates an alternative stochastic imputation approach for large datasets when preferred commercial packages struggle to iterate due to numerical problems. A large country conflict dataset motivates the search to impute missing values well over a common threshold of 20% missingness. The methodology capitalizes on correlation while using model residuals to provide the uncertainty in estimating unknown values. Examination of the methodology provides insight toward choosing linear or nonlinear modeling terms. Static tolerances common in most packages are replaced with tailorable tolerances that exploit residuals to fit each data element. The methodology evaluation includes observing computation time, model fit, and the comparison of known values to replaced values created through imputation. Overall, the country conflict dataset illustrates promise with modeling first-order interactions while presenting a need for further refinement that mimics predictive mean matching.Keywords: correlation, country conflict, imputation, stochastic regression
Procedia PDF Downloads 1183777 An Investigation into Kenyan Teachers’ Views of Children’s Emotional and Behavioural Difficulties
Authors: Fred Mageto
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A great number of children in mainstream schools across Kenya are currently living with emotional, behavioural difficulties. This study aims to explore teachers’ perceptions of children’s emotional and behavioural difficulties (EBD) and their attributions of the causes of EBD. The relevance of this area of study to current educational practice is illustrated in the fact that primary school teachers in Kenya find classroom behaviour problems one of the major difficulties they face. The information presented in this study was gathered from 182 teachers that responded back to the survey, of whom 27 teachers were later interviewed. In general, teachers’ perceptions of EBD reflect personal experience, training, and attitudes. Teachers appear from this study to use words such as indifferent, frightened, withdrawn, aggressive, disobedient, hyperactive, less ambitious, lacking concentration, and academically weak to describe pupils with emotional and behavioural difficulties (EBD). The implications of this study are envisaged as being extremely important to support teachers addressing children’s EBD and shed light on the contributing factors to EBD for a successful teaching-learning process in Libyan primary schools.Keywords: teachers, children, learning, emotional and behaviour difficulties
Procedia PDF Downloads 1613776 Customer Expectation on Service Quality in Bed and Breakfast Establishments in Johannesburg Metropolitan
Authors: Chiedza Lebogang Gutu, Nester Rufaro Manuwa, Jean-Marie Mbuya
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In Johannesburg, Metropolitan customer expectations in the hospitality industry have rapidly been increasing which has lead to the need of improving service quality to help satisfy customer expectations. Businesses need to make sure that customer expectations are met, or find ways to control customer expectations. Therefore the purpose of the study is to investigate how customer expectations of services in bed and breakfast establishments affect the perceived quality of service. A quantitative approach was used through random sampling to collect descriptive and correlation study between customer expectations and perceived quality. Findings of the study indicated that customers at bed and breakfast generally expect a clean, friendly and safe environment that has a homely feel, while they are away from home. In addition, findings of the study also emphasised that the age-groups between 20 and 35 are more likely to travel, for business and vacation purposes, staying for more or less 3, have high expectations towards modern facilities and extras in the room such as coffee machines, and are more concerned about the service being provided quickly and right, and taking extra care to deal with problems promptly.Keywords: Customer satisfaction, Service quality, Bed and breakfast, Customer retention
Procedia PDF Downloads 3853775 Elitist Self-Adaptive Step-Size Search in Optimum Sizing of Steel Structures
Authors: Oğuzhan Hasançebi, Saeid Kazemzadeh Azad
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Keywords: structural design optimization, optimal sizing, metaheuristics, self-adaptive step-size search, steel trusses, steel frames
Procedia PDF Downloads 3733774 Multiple Intelligence Theory with a View to Designing a Classroom for the Future
Authors: Phalaunnaphat Siriwongs
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The classroom of the 21st century is an ever-changing forum for new and innovative thoughts and ideas. With increasing technology and opportunity, students have rapid access to information that only decades ago would have taken weeks to obtain. Unfortunately, new techniques and technology are not a cure for the fundamental problems that have plagued the classroom ever since education was established. Class size has been an issue long debated in academia. While it is difficult to pinpoint an exact number, it is clear that in this case, more does not mean better. By looking into the success and pitfalls of classroom size, the true advantages of smaller classes becomes clear. Previously, one class was comprised of 50 students. Since they were seventeen- and eighteen-year-old students, it was sometimes quite difficult for them to stay focused. To help students understand and gain much knowledge, a researcher introduced “The Theory of Multiple Intelligence” and this, in fact, enabled students to learn according to their own learning preferences no matter how they were being taught. In this lesson, the researcher designed a cycle of learning activities involving all intelligences so that everyone had equal opportunities to learn.Keywords: multiple intelligences, role play, performance assessment, formative assessment
Procedia PDF Downloads 2813773 Technical and Economic Environment in the Polish Power System as the Basis for Distributed Generation and Renewable Energy Sources Development
Authors: Pawel Sowa, Joachim Bargiel, Bogdan Mol, Katarzyna Luszcz
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The article raises the issue of the development of local renewable energy sources and the production of distributed energy in context of improving the reliability of the Polish Power System and the beneficial impact on local and national energy security. The paper refers to the current problems of local governments in the process of investment in the area of distributed energy projects, and discusses the issues of the future role and cooperation within the local power plants and distributed energy. Attention is paid to the local communities the chance to raise their own resources and management of energy fuels (biomass, wind, gas mining) and improving the local energy balance. The material presented takes the issue of the development of the energy potential of municipalities and future cooperation with professional energy. As an example, practical solutions used in one of the communes in Silesia.Keywords: distributed generation, mini centers energy, renewable energy sources, reliability of supply of rural commune
Procedia PDF Downloads 5983772 Location Management in Wireless Sensor Networks with Mobility
Authors: Amrita Anil Agashe, Sumant Tapas, Ajay Verma Yogesh Sonavane, Sourabh Yeravar
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Due to advancement in MEMS technology today wireless sensors network has gained a lot of importance. The wide range of its applications includes environmental and habitat monitoring, object localization, target tracking, security surveillance etc. Wireless sensor networks consist of tiny sensor devices called as motes. The constrained computation power, battery power, storage capacity and communication bandwidth of the tiny motes pose challenging problems in the design and deployment of such systems. In this paper, we propose a ubiquitous framework for Real-Time Tracking, Sensing and Management System using IITH motes. Also, we explain the algorithm that we have developed for location management in wireless sensor networks with the aspect of mobility. Our developed framework and algorithm can be used to detect emergency events and safety threats and provides warning signals to handle the emergency.Keywords: mobility management, motes, multihop, wireless sensor networks
Procedia PDF Downloads 4163771 Machine Learning-Enabled Classification of Climbing Using Small Data
Authors: Nicholas Milburn, Yu Liang, Dalei Wu
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Athlete performance scoring within the climbing do-main presents interesting challenges as the sport does not have an objective way to assign skill. Assessing skill levels within any sport is valuable as it can be used to mark progress while training, and it can help an athlete choose appropriate climbs to attempt. Machine learning-based methods are popular for complex problems like this. The dataset available was composed of dynamic force data recorded during climbing; however, this dataset came with challenges such as data scarcity, imbalance, and it was temporally heterogeneous. Investigated solutions to these challenges include data augmentation, temporal normalization, conversion of time series to the spectral domain, and cross validation strategies. The investigated solutions to the classification problem included light weight machine classifiers KNN and SVM as well as the deep learning with CNN. The best performing model had an 80% accuracy. In conclusion, there seems to be enough information within climbing force data to accurately categorize climbers by skill.Keywords: classification, climbing, data imbalance, data scarcity, machine learning, time sequence
Procedia PDF Downloads 1413770 Reducing Anxiety in Elite Athletes: The Effects of Implementing a Moderate Running Regimen, a Literature Review
Authors: Spencer C. Pratt
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Anxiety is an emotional response that many, if not all, elite athletes struggle with on a daily basis. Recently, attention has been drawn to the strong need for athletes to receive mental training in order to help remedy the situation. The conceptual paper explores the effectiveness of a mental training component, based on the anxiolytic effects of exercise by investigating the positive relationship between physical activity and mental health through a comprehensive literature review. The review synthesizes pertinent research regarding the need for mental skills training among elite athletes and the anxiolytic effects of exercise. The paper concludes that with clear positive results from further experimentation with a (moderate intensity) running regimen, a wide range of elite athletes experiencing anxiety problems may have a viable solution.Keywords: anxiety, mental training component, anxiolytic effects, elite athletes, moderate intensity running, mental skills training, running regimen
Procedia PDF Downloads 3523769 Parallel Operated Rotary Frequency Converters within a Ship Micro-Grid System
Authors: Hamdy Ahmed Ashour
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This paper studies the parallel operation of rotary frequency converters which can be used within a ship micro-grid system and also to supply ships and equipment in a harbour during off-sail and maintenance periods with their suitable voltage and frequency requirements in order to overcome the possible associated problems of overloading on a single converter. The paper theoretically and experimentally investigated the operation of 3-ph induction motor / 3-ph synchronous generator based rotary converters set. Concept of operation and merits of such converters has been discussed. Overall dynamic simulation model of two parallel operated rotary converters has been developed. Active and reactive load sharing of the two converters has been analyzed. Experimental setup has been implemented for proof of concept and practical validation. Simulation and experimental results have been obtained and well correlated; showing how the rotary converters based setup can be manipulated to achieve different requirements of operating conditions.Keywords: experimental, frequency-converters, load-sharing, marine-applications, simulation, synchronization
Procedia PDF Downloads 4533768 A General Overview on Izadis Children's Right Situation in Iraqi Kurdistan
Authors: Shabnam Dadparvar, Laijin Shen
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Undoubtedly, children are one of the biggest assets of any society and it is the duty of all officials to have a systematic plan to educate the next generation and make a better life for children so that they can progress and be effective for their communities. In an effort, Kurdistan Regional Government (KRG) has adopted standards to improve the condition for Izadis children; however, there are challenges that remain; such as: Izadis child abuse, Izadis child labor, Izadis children right’s law, orphans, Izadis street children and etc. In this paper, by a descriptive-analytical method the authors try to discuss the general situation of Izadis children in today s Iraqi Kurdistan and the issues such as drug abuse, Izadis child labor, orphans and Izadis street children. The questions are: How is the situation of Izadis children in Iraqi Kurdistan and what are their challenges? Also, what is the KRG’s strategy and through which ways, they can make a better life for minority children and change their current status? The authors believe that nowadays, the KRG is trying to crack down on problems against Izadis children; however, their effort is not adequate and some other activities should be performed; one of which is passing the Izadis children s law against violence.Keywords: children right, Iraqi Kurdistan, Izadis children, Kurdistan Regional Government
Procedia PDF Downloads 2573767 Calculate Product Carbon Footprint through the Internet of Things from Network Science
Authors: Jing Zhang
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To reduce the carbon footprint of mankind and become more sustainable is one of the major challenges in our era. Internet of Things (IoT) mainly resolves three problems: Things to Things (T2T), Human to Things, H2T), and Human to Human (H2H). Borrowing the classification of IoT, we can find carbon prints of industries also can be divided in these three ways. Therefore, monitoring the routes of generation and circulation of products may help calculate product carbon print. This paper does not consider any technique used by IoT itself, but the ideas of it look at the connection of products. Carbon prints are like a gene or mark of a product from raw materials to the final products, which never leave the products. The contribution of this paper is to combine the characteristics of IoT and the methodology of network science to find a way to calculate the product's carbon footprint. Life cycle assessment, LCA is a traditional and main tool to calculate the carbon print of products. LCA is a traditional but main tool, which includes three kinds.Keywords: product carbon footprint, Internet of Things, network science, life cycle assessment
Procedia PDF Downloads 1143766 Long-term Monitoring on Rangelands in Southwest Algeria and Impact of Overgrazing and Droughts on Biodiversity and Soil: Case of the Rogassa Steppe (Wilaya of El Bayadh)
Authors: Slimani Halima
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One of the main problems of degradation of arid steppe rangelands in the southern Mediterranean is the loss of plant diversity and changes in soil properties. During the last decades, these rangelands faced two main driving forces: climate through more or less lasting and recurrent droughts and overgrazing by sheep. In the present work, the preexisting system was an arid steppe with alfa grass (Stipa tenacissima L.) as the dominant plant, which was considered to be the "keystone" species toward the whole ecosystem structure and functioning. Vegetation and soil change was monitored for 45 years along a grazing intensity gradient. Changes in species richness and diversity, in the vegetation and in the soil, enabled to better understand climate fluctuations effects in comparison to overgrazing ones. The aim is to assess the impacts of grazing and climatic variability and change on biodiversity,vegetation and soil over a period of 45 years, based on data from seven reference years.Keywords: biodiversity, desertification, droughts, el bayadh, overgrazing, soil, steppe
Procedia PDF Downloads 1033765 An Assessment of Self-Perceived Health after the Death of a Spouse among the Elderly
Authors: Shu-Hsi Ho
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The problems of aging and number of widowed peers gradually rise in Taiwan. It is worth to concern the related issues for elderly after the death of a spouse. Hence, this study is to examine the impact of spousal death on the surviving spouse’s self-perceived health and mental health for the elderly in Taiwan. A cross section data design and ordered logistic regression models are applied to investigate whether marriage is associated significantly to self-perceived health and mental health for the widowed older Taiwanese. The results indicate that widowed marriage shows significant negative effects on self-perceived health and mental health regardless of widows or widowers. Among them, widows might be more likely to show worse mental health than widowers. The belief confirms that marriage provides effective sources to promote self-perceived health and mental health, particularly for females. In addition, since the social welfare system is not perfect in Taiwan, the findings also suggest that family and social support reveal strongly association with the self-perceived health and mental health for the widows and widowers elderly.Keywords: logistic regression models, self-perceived health, widow, widower
Procedia PDF Downloads 4613764 Design of a Pneumonia Ontology for Diagnosis Decision Support System
Authors: Sabrina Azzi, Michal Iglewski, Véronique Nabelsi
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Diagnosis error problem is frequent and one of the most important safety problems today. One of the main objectives of our work is to propose an ontological representation that takes into account the diagnostic criteria in order to improve the diagnostic. We choose pneumonia disease since it is one of the frequent diseases affected by diagnosis errors and have harmful effects on patients. To achieve our aim, we use a semi-automated method to integrate diverse knowledge sources that include publically available pneumonia disease guidelines from international repositories, biomedical ontologies and electronic health records. We follow the principles of the Open Biomedical Ontologies (OBO) Foundry. The resulting ontology covers symptoms and signs, all the types of pneumonia, antecedents, pathogens, and diagnostic testing. The first evaluation results show that most of the terms are covered by the ontology. This work is still in progress and represents a first and major step toward a development of a diagnosis decision support system for pneumonia.Keywords: Clinical decision support system, Diagnostic errors, Ontology, Pneumonia
Procedia PDF Downloads 186