Search results for: level of service estimation
16656 Real-Time Big-Data Warehouse a Next-Generation Enterprise Data Warehouse and Analysis Framework
Authors: Abbas Raza Ali
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Big Data technology is gradually becoming a dire need of large enterprises. These enterprises are generating massively large amount of off-line and streaming data in both structured and unstructured formats on daily basis. It is a challenging task to effectively extract useful insights from the large scale datasets, even though sometimes it becomes a technology constraint to manage transactional data history of more than a few months. This paper presents a framework to efficiently manage massively large and complex datasets. The framework has been tested on a communication service provider producing massively large complex streaming data in binary format. The communication industry is bound by the regulators to manage history of their subscribers’ call records where every action of a subscriber generates a record. Also, managing and analyzing transactional data allows service providers to better understand their customers’ behavior, for example, deep packet inspection requires transactional internet usage data to explain internet usage behaviour of the subscribers. However, current relational database systems limit service providers to only maintain history at semantic level which is aggregated at subscriber level. The framework addresses these challenges by leveraging Big Data technology which optimally manages and allows deep analysis of complex datasets. The framework has been applied to offload existing Intelligent Network Mediation and relational Data Warehouse of the service provider on Big Data. The service provider has 50+ million subscriber-base with yearly growth of 7-10%. The end-to-end process takes not more than 10 minutes which involves binary to ASCII decoding of call detail records, stitching of all the interrogations against a call (transformations) and aggregations of all the call records of a subscriber.Keywords: big data, communication service providers, enterprise data warehouse, stream computing, Telco IN Mediation
Procedia PDF Downloads 16816655 Channel Estimation Using Deep Learning for Reconfigurable Intelligent Surfaces-Assisted Millimeter Wave Systems
Authors: Ting Gao, Mingyue He
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Reconfigurable intelligent surfaces (RISs) are expected to be an important part of next-generation wireless communication networks due to their potential to reduce the hardware cost and energy consumption of millimeter Wave (mmWave) massive multiple-input multiple-output (MIMO) technology. However, owing to the lack of signal processing abilities of the RIS, the perfect channel state information (CSI) in RIS-assisted communication systems is difficult to acquire. In this paper, the uplink channel estimation for mmWave systems with a hybrid active/passive RIS architecture is studied. Specifically, a deep learning-based estimation scheme is proposed to estimate the channel between the RIS and the user. In particular, the sparse structure of the mmWave channel is exploited to formulate the channel estimation as a sparse reconstruction problem. To this end, the proposed approach is derived to obtain the distribution of non-zero entries in a sparse channel. After that, the channel is reconstructed by utilizing the least-squares (LS) algorithm and compressed sensing (CS) theory. The simulation results demonstrate that the proposed channel estimation scheme is superior to existing solutions even in low signal-to-noise ratio (SNR) environments.Keywords: channel estimation, reconfigurable intelligent surface, wireless communication, deep learning
Procedia PDF Downloads 13416654 Strategies in Customer Relationship Management and Customers’ Behavior in Making Decision on Buying Car Insurance of Southeast Insurance Co. Ltd. in Bangkok
Authors: Nattapong Techarattanased, Paweena Sribunrueng
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The objective of this study is to investigate strategies in customer relationship management and customers’ behavior in making decision on buying car insurance of Southeast Insurance Co. Ltd. in Bangkok. Subjects in this study included 400 customers with the age over 20 years old to complete questionnaires. The data were analyzed by arithmetic mean and multiple regressions. The results revealed that the customers’ opinions on the strategies in customer relationship management, i.e. customer relationship, customer feedback, customer follow-up, useful service suggestions, customer communication, and service channels were in moderate level but on the customer retention was in high level. Moreover, the strategy in customer relationship management, i.e. customer relationship, and customer feedback had an influence on customers’ buying decision on buying car insurance. The two factors above can be used for the prediction at the rate of 34%. In addition, the strategy in customer relationship management, i.e. customer retention, customer feedback, and useful service suggestions had an influence on the customers’ buying decision on period of being customers. The three factors could be used for the prediction at the rate of 45%.Keywords: strategies, customer relationship management, behavior in buying decision, car insurance
Procedia PDF Downloads 39416653 Logistics Model for Improving Quality in Railway Transport
Authors: Eva Nedeliakova, Juraj Camaj, Jaroslav Masek
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This contribution is focused on the methodology for identifying levels of quality and improving quality through new logistics model in railway transport. It is oriented on the application of dynamic quality models, which represent an innovative method of evaluation quality services. Through this conception, time factor, expected, and perceived quality in each moment of the transportation process within logistics chain can be taken into account. Various models describe the improvement of the quality which emphases the time factor throughout the whole transportation logistics chain. Quality of services in railway transport can be determined by the existing level of service quality, by detecting the causes of dissatisfaction employees but also customers, to uncover strengths and weaknesses. This new logistics model is able to recognize critical processes in logistic chain. It includes service quality rating that must respect its specific properties, which are unrepeatability, impalpability, their use right at the time they are provided and particularly changeability, which is significant factor in the conditions of rail transport as well. These peculiarities influence the quality of service regarding the constantly increasing requirements and that result in new ways of finding progressive attitudes towards the service quality rating.Keywords: logistics model, quality, railway transport
Procedia PDF Downloads 55516652 A New Criterion Using Pose and Shape of Objects for Collision Risk Estimation
Authors: DoHyeung Kim, DaeHee Seo, ByungDoo Kim, ByungGil Lee
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As many recent researches being implemented in aviation and maritime aspects, strong doubts have been raised concerning the reliability of the estimation of collision risk. It is shown that using position and velocity of objects can lead to imprecise results. In this paper, therefore, a new approach to the estimation of collision risks using pose and shape of objects is proposed. Simulation results are presented validating the accuracy of the new criterion to adapt to collision risk algorithm based on fuzzy logic.Keywords: collision risk, pose, shape, fuzzy logic
Procedia PDF Downloads 52016651 In-service High School Teachers’ Experiences On Blended Teaching Approach Of Mathematics
Authors: Lukholo Raxangana
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Fourth Industrial Revolution (4IR)-era teaching offers in-service mathematics teachers opportunities to use blended approaches to engage learners while teaching mathematics. This study explores in-service high school teachers' experiences with a blended teaching approach to mathematics. This qualitative case study involved eight pre-service teachers from four selected schools in the Sedibeng West District of the Gauteng Province. The study used the community of inquiry model as its analytical framework for data analysis. Data collection was through semi-structured interviews and focus-group discussions to explore in-service teachers' experiences with the influence of blended teaching (BT) on learning mathematics. The study results are the impact of load-shedding, benefits of BT, and perceptions of in-service and hindrances of BT. Based on these findings, the study recommends that further research should focus on developing data-free BT tools to assist during load-shedding, regardless of location.Keywords: bended teaching, teachers, in-service, and mathematics
Procedia PDF Downloads 5216650 Subway Ridership Estimation at a Station-Level: Focus on the Impact of Bus Demand, Commercial Business Characteristics and Network Topology
Authors: Jungyeol Hong, Dongjoo Park
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The primary purpose of this study is to develop a methodological framework to predict daily subway ridership at a station-level and to examine the association between subway ridership and bus demand incorporating commercial business facility in the vicinity of each subway station. The socio-economic characteristics, land-use, and built environment as factors may have an impact on subway ridership. However, it should be considered not only the endogenous relationship between bus and subway demand but also the characteristics of commercial business within a subway station’s sphere of influence, and integrated transit network topology. Regarding a statistical approach to estimate subway ridership at a station level, therefore it should be considered endogeneity and heteroscedastic issues which might have in the subway ridership prediction model. This study focused on both discovering the impacts of bus demand, commercial business characteristics, and network topology on subway ridership and developing more precise subway ridership estimation accounting for its statistical bias. The spatial scope of the study covers entire Seoul city in South Korea and includes 243 stations with the temporal scope set at twenty-four hours with one-hour interval time panels each. The data for subway and bus ridership was collected Seoul Smart Card data from 2015 and 2016. Three-Stage Least Square(3SLS) approach was applied to develop daily subway ridership model as capturing the endogeneity and heteroscedasticity between bus and subway demand. Independent variables incorporating in the modeling process were commercial business characteristics, social-economic characteristics, safety index, transit facility attributes, and dummies for seasons and time zone. As a result, it was found that bus ridership and subway ridership were endogenous each other and they had a significantly positive sign of coefficients which means one transit mode could increase another transportation mode’s ridership. In other words, two transit modes of subway and bus have a mutual relationship instead of the competitive relationship. The commercial business characteristics are the most critical dimension among the independent variables. The variables of commercial business facility rate in the paper containing six types; medical, educational, recreational, financial, food service, and shopping. From the model result, a higher rate in medical, financial buildings, shopping, and food service facility lead to increment of subway ridership at a station, while recreational and educational facility shows lower subway ridership. The complex network theory was applied for estimating integrated network topology measures that cover the entire Seoul transit network system, and a framework for seeking an impact on subway ridership. The centrality measures were found to be significant and showed a positive sign indicating higher centrality led to more subway ridership at a station level. The results of model accuracy tests by out of samples provided that 3SLS model has less mean square error rather than OLS and showed the methodological approach for the 3SLS model was plausible to estimate more accurate subway ridership. Acknowledgement: This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT (2017R1C1B2010175).Keywords: subway ridership, bus ridership, commercial business characteristic, endogeneity, network topology
Procedia PDF Downloads 13516649 Food Supply Chain Optimization: Achieving Cost Effectiveness Using Predictive Analytics
Authors: Jayant Kumar, Aarcha Jayachandran Sasikala, Barry Adrian Shepherd
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Public Distribution System is a flagship welfare programme of the Government of India with both historical and political significance. Targeted at lower sections of society,it is one of the largest supply chain networks in the world. There has been several studies by academics and planning commission about the effectiveness of the system. Our study focuses on applying predictive analytics to aid the central body to keep track of the problem of breach of service level agreement between the two echelons of food supply chain. Each shop breach is leading to a potential additional inventory carrying cost. Thus, through this study, we aim to show that aided with such analytics, the network can be made more cost effective. The methods we illustrate in this study are applicable to other commercial supply chains as well.Keywords: PDS, analytics, cost effectiveness, Karnataka, inventory cost, service level JEL classification: C53
Procedia PDF Downloads 52016648 Classic Training of a Neural Observer for Estimation Purposes
Authors: R. Loukil, M. Chtourou, T. Damak
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This paper investigates the training of multilayer neural network using the classic approach. Then, for estimation purposes, we suggest the use of a specific neural observer that we study its training algorithm which is the back-propagation one in the case of the disponibility of the state and in the case of an unmeasurable state. A MATLAB simulation example will be studied to highlight the usefulness of this kind of observer.Keywords: training, estimation purposes, neural observer, back-propagation, unmeasurable state
Procedia PDF Downloads 56016647 Off-Line Parameter Estimation for the Induction Motor Drive System
Authors: Han-Woong Ahn, In-Gun Kim, Hyun-Seok Hong, Dong-Woo Kang, Ju Lee
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It is important to accurately identify machine parameters for direct vector control. To obtain the parameter values, traditional methods can be used such as no-load and rotor locked tests. However, there are many differences between values obtained from the traditional tests and actual values. In addition, there are drawbacks that additional equipment and cost are required for the experiment. Therefore, it is hard to temporary operation to estimate induction motor parameters. Therefore, this paper deals with the estimation algorithm of induction motor parameters without a motor operation and the measurement from additional equipment such as sensors and dynamometer. The validity and usefulness of the estimation algorithm considering inverter nonlinearity is verified by comparing the conventional method with the proposed method.Keywords: induction motor, parameter, off-line estimation, inverter nonlinearity
Procedia PDF Downloads 51816646 Deep Learning-Based Channel Estimation for RIS-Assisted Unmanned Aerial Vehicle-Enabled Wireless Communication System
Authors: Getaneh Berie Tarekegn
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Wireless communication via unmanned aerial vehicles (UAVs) has drawn a great deal of attention due to its flexibility in establishing line-of-sight (LoS) communications. However, in complex urban and dynamic environments, the movement of UAVs can be blocked by trees and high-rise buildings that obstruct directional paths. With reconfigurable intelligent surfaces (RIS), this problem can be effectively addressed. To achieve this goal, accurate channel estimation in RIS-assisted UAV-enabled wireless communications is crucial. This paper proposes an accurate channel estimation model using long short-term memory (LSTM) for a multi-user RIS-assisted UAV-enabled wireless communication system. According to simulation results, LSTM can improve the channel estimation performance of RIS-assisted UAV-enabled wireless communication.Keywords: channel estimation, reconfigurable intelligent surfaces, long short-term memory, unmanned aerial vehicles
Procedia PDF Downloads 4416645 A System Framework for Dynamic Service Deployment in Container-Based Computing Platform
Authors: Shuen-Tai Wang, Yu-Ching Lin, Hsi-Ya Chang
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Cloud computing and virtualization technology have brought an innovative way for people to develop and use software nowadays. However, conventional virtualization comes at the expense of performance loss for applications. Container-based virtualization could be an option as it potentially reduces overhead and minimizes performance decline of the service platform. In this paper, we introduce a system framework and present an implementation of resource broker for dynamic cloud service deployment on the container-based platform to facilitate the efficient execution and improve the utilization. We target the load-aware service deployment approach for task ranking scenario. This proposed effort can collaborate with resource management system to adaptively deploy services according to the different requests. In particular, our approach relies on composing service immediately onto appropriate container according to user’s requirement in order to conserve the waiting time. Our evaluation shows how efficient of the service deployment is and how to expand its applicability to support the variety of cloud service.Keywords: cloud computing, container-based virtualization, resource broker, service deployment
Procedia PDF Downloads 16216644 Metamodel for Artefacts in Service Engineering Analysis and Design
Authors: Purnomo Yustianto, Robin Doss
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As a process of developing a service system, the term ‘service engineering’ evolves in scope and definition. To achieve an integrated understanding of the process, a general framework and an ontology are required. This paper extends a previously built service engineering framework by exploring metamodels for the framework artefacts based on a foundational ontology and a metamodel landscape. The first part of this paper presents a correlation map between the proposed framework with the ontology as a form of evaluation for the conceptual coverage of the framework. The mapping also serves to characterize the artefacts to be produced for each activity in the framework. The second part describes potential metamodels to be used, from the metamodel landscape, as alternative formats of the framework artefacts. The results suggest that the framework sufficiently covers the ontological concepts, both from general service context and software service context. The metamodel exploration enriches the suggested artefact format from the original eighteen formats to thirty metamodel alternatives.Keywords: artefact, framework, service, metamodel
Procedia PDF Downloads 19816643 Signal Estimation and Closed Loop System Performance in Atrial Fibrillation Monitoring with Communication Channels
Authors: Mohammad Obeidat, Ayman Mansour
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In this paper a unique issue rising from feedback control of Atrial Fibrillation monitoring system with embedded communication channels has been investigated. One of the important factors to measure the performance of the feedback control closed loop system is disturbance and noise attenuation factor. It is important that the feedback system can attenuate such disturbances on the atrial fibrillation heart rate signals. Communication channels depend on network traffic conditions and deliver different throughput, implying that the sampling intervals may change. Since signal estimation is updated on the arrival of new data, its dynamics actually change with the sampling interval. Consequently, interaction among sampling, signal estimation, and the controller will introduce new issues in remotely controlled Atrial Fibrillation system. This paper treats a remotely controlled atrial fibrillation system with one communication channel which connects between the heart rate and rhythm measurements to the remote controller. Typical and optimal signal estimation schemes is represented by a signal averaging filter with its time constant derived from the step size of the signal estimation algorithm.Keywords: atrial fibrillation, communication channels, closed loop, estimation
Procedia PDF Downloads 37216642 Investigating the Relationship between Service Quality and Amount of Violations in Community Pharmacies with Their Type of Ownership
Authors: Afshin Azari, Farzad Peiravian, Nazila Yousefi
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Introduction: Community pharmacies have been always played an important role in public health. Therefore, having a decent service provided by these pharmacies is of paramount importance for the healthcare system. The issue of pharmacy ownership and its possible impact on the quality of services and amount of violations has been argued for many years, and there are different opinions around this debate. Since, so far, no scientific research has been performed to investigate this issue in Iran, this study aimed to examine the differences between these two types of pharmacies ownership in terms of violations and service quality. Method: This study investigates the impact of two different kinds of pharmacy ownership (pharmacists and non-pharmacist’s ownership) on the pharmacies’ amount of violations and services quality. Pharmacies’ amount of violations was examined using “pharmacy inspection reports” between September 2018 and September 2019, in their distinguishable categories: minor, major and critical violations. Then, service quality was examined using a questionnaire from the perspective of pharmacy customers. Results: Considering violations, there was no evidence to prove a significant relationship between critical violations and major violations with the type of pharmacy ownership. However, in minor violations, the average of violations was higher in pharmacies owned by pharmacists in comparison to their non-pharmacist owned counterparts. Regarding service quality, the results showed that there is no significant relationship between the quality of service and the type of pharmacy ownership. Discussion and Conclusion: In this study, no significant relationship was found between the amount of violations and the type of pharmacy ownership. This could indicate that the pharmacy ownership would not influence the rate of violations. Considering that more inspections have been carried out in non-pharmacist owned pharmacies, it can be concluded that these pharmacies are more under control, and in fact, this monitoring has reduced violations in these pharmacies. The quality of services in the two types of pharmacies were not significantly different from each other, and this shows that non-pharmacist-owned pharmacies also try to maintain the desired level of service in competition with their competitors.Keywords: pharmacy ownership, quality of service, violation, community pharmacy
Procedia PDF Downloads 16016641 Pattern and Risk Factors of Menstrual Regulation Service Use among Ever-married Women in Bangladesh: Evidence from a Nationally Representative Cross-sectional Study
Authors: Md. Rashed Aalm, Md. Nuruzzaman Khan, Yothin Sawangdee
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Background: Around 47% of the total pregnancies are unintended in Bangladesh, which lead to several adverse consequences, including maternal and child mortality. Use of menstrual regulation (MR) can help women to reduce unintended pregnancy related adverse consequences. We explored the prevalence and determinants of MR services among ever-married women in Bangladesh. Methods: Total of 14,346 ever-married women data were analysed from the 2017 Bangladesh Demographic and Health Survey. Our study variable was use or non-use of MR services. Individual, household, and community level factors were the explanatory factors. Multilevel mixed-effect Poisson regression model was used to determine the factors associated with MR services in Bangladesh. Results: Nearly 7% of the total women in Bangladesh use MR services. Use of MR services was found higher among women who were aged 20-30 ages (IRR 1.60, 95% CI: 1.17–2.17), who were overweight (IRR 1.43, 95% CI: 1.13–1.81), had at least 1 child (IRR 2.97, 95% CI: 2.34– 3.77) or > 2 children (IRR 3.22, 95% CI: 2.45–4.20), and the birth preceding birth interval was(2 – 4) years (IRR 1.56, 95% CI: 1.13–2.15). Around 1.39 times (95% CI: 1.11–1.73) higher likelihood of MR was found among women whose husbands were engage with business. At the community level, MR service was found lower among the women who resided in the community with higherilliteracy (IRR 0.67, 95% CI: 0.42–0.96) and the Mymensingh division (IRR 0.39, 95% CI: 0.31–0.91). Conclusion: Use of MR service is comparatively low, which indicate a significant proportion of unintended pregnancy continued toward life-birth. This could be responsible for higher adverse maternal and child health outcomes in Bangladesh. Initiatives should be taken to ensure MR services is available when women need this service.Keywords: menstrual regulation, pattern, risk, maternal health, Bangladesh
Procedia PDF Downloads 14916640 Pre-Service Teachers’ Opinions on Disabled People
Authors: Sinem Toraman, Aysun Öztuna Kaplan, Hatice Mertoğlu, Esra Macaroğlu Akgül
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This study aims to examine pre-service teachers’ opinions on disabled people taking into consideration various variables. The participants of the study are composed of 170 pre-service teachers being 1st year students of different branches at Education Department of Yıldız Technical, Yeditepe, Marmara and Sakarya Universities. Data of the research was collected in 2013-2014 fall term. This study was designed as a phenomenological study appropriately qualitative research paradigm. Pre-service teachers’ opinions about disabled people were examined in this study, open ended question form which was prepared by researcher and focus group interview techniques were used as data collection tool. The study presents pre-service teachers’ opinions about disabled people which were mentioned, and suggestions about teacher education.Keywords: pre-service teachers, disabled people, teacher education, teachers' opinions
Procedia PDF Downloads 44816639 The Journey of a Malicious HTTP Request
Authors: M. Mansouri, P. Jaklitsch, E. Teiniker
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SQL injection on web applications is a very popular kind of attack. There are mechanisms such as intrusion detection systems in order to detect this attack. These strategies often rely on techniques implemented at high layers of the application but do not consider the low level of system calls. The problem of only considering the high level perspective is that an attacker can circumvent the detection tools using certain techniques such as URL encoding. One technique currently used for detecting low-level attacks on privileged processes is the tracing of system calls. System calls act as a single gate to the Operating System (OS) kernel; they allow catching the critical data at an appropriate level of detail. Our basic assumption is that any type of application, be it a system service, utility program or Web application, “speaks” the language of system calls when having a conversation with the OS kernel. At this level we can see the actual attack while it is happening. We conduct an experiment in order to demonstrate the suitability of system call analysis for detecting SQL injection. We are able to detect the attack. Therefore we conclude that system calls are not only powerful in detecting low-level attacks but that they also enable us to detect high-level attacks such as SQL injection.Keywords: Linux system calls, web attack detection, interception, SQL
Procedia PDF Downloads 34916638 Mathematics Model Approaching: Parameter Estimation of Transmission Dynamics of HIV and AIDS in Indonesia
Authors: Endrik Mifta Shaiful, Firman Riyudha
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Acquired Immunodeficiency Syndrome (AIDS) is one of the world's deadliest diseases caused by the Human Immunodeficiency Virus (HIV) that infects white blood cells and cause a decline in the immune system. AIDS quickly became a world epidemic disease that affects almost all countries. Therefore, mathematical modeling approach to the spread of HIV and AIDS is needed to anticipate the spread of HIV and AIDS which are widespread. The purpose of this study is to determine the parameter estimation on mathematical models of HIV transmission and AIDS using cumulative data of people with HIV and AIDS each year in Indonesia. In this model, there are parameters of r ∈ [0,1) which is the effectiveness of the treatment in patients with HIV. If the value of r is close to 1, the number of people with HIV and AIDS will decline toward zero. The estimation results indicate when the value of r is close to unity, there will be a significant decline in HIV patients, whereas in AIDS patients constantly decreases towards zero.Keywords: HIV, AIDS, parameter estimation, mathematical models
Procedia PDF Downloads 23916637 Blind Super-Resolution Reconstruction Based on PSF Estimation
Authors: Osama A. Omer, Amal Hamed
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Successful blind image Super-Resolution algorithms require the exact estimation of the Point Spread Function (PSF). In the absence of any prior information about the imagery system and the true image; this estimation is normally done by trial and error experimentation until an acceptable restored image quality is obtained. Multi-frame blind Super-Resolution algorithms often have disadvantages of slow convergence and sensitiveness to complex noises. This paper presents a Super-Resolution image reconstruction algorithm based on estimation of the PSF that yields the optimum restored image quality. The estimation of PSF is performed by the knife-edge method and it is implemented by measuring spreading of the edges in the reproduced HR image itself during the reconstruction process. The proposed image reconstruction approach is using L1 norm minimization and robust regularization based on a bilateral prior to deal with different data and noise models. A series of experiment results show that the proposed method can outperform other previous work robustly and efficiently.Keywords: blind, PSF, super-resolution, knife-edge, blurring, bilateral, L1 norm
Procedia PDF Downloads 35616636 Estimation of Time Loss and Costs of Traffic Congestion: The Contingent Valuation Method
Authors: Amira Mabrouk, Chokri Abdennadher
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The reduction of road congestion which is inherent to the use of vehicles is an obvious priority to public authority. Therefore, assessing the willingness to pay of an individual in order to save trip-time is akin to estimating the change in price which was the result of setting up a new transport policy to increase the networks fluidity and improving the level of social welfare. This study holds an innovative perspective. In fact, it initiates an economic calculation that has the objective of giving an estimation of the monetized time value during the trips made in Sfax. This research is founded on a double-objective approach. The aim of this study is to i) give an estimation of the monetized value of time; an hour dedicated to trips, ii) determine whether or not the consumer considers the environmental variables to be significant, iii) analyze the impact of applying a public management of the congestion via imposing taxation of city tolls on urban dwellers. This article is built upon a rich field survey led in the city of Sfax. With the use of the contingent valuation method, we analyze the “declared time preferences” of 450 drivers during rush hours. Based on the fond consideration of attributed bias of the applied method, we bring to light the delicacy of this approach with regards to the revelation mode and the interrogative techniques by following the NOAA panel recommendations bearing the exception of the valorization point and other similar studies about the estimation of transportation externality.Keywords: willingness to pay, contingent valuation, time value, city toll
Procedia PDF Downloads 41416635 19th Century Exam, 21st Century Policing: An Examination of the New York State Civil Service and Police Officer Recruitment Efforts
Authors: A. Edwards
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The civil service was created to reform the hiring process for public officials, changing the patronage system to a merit-based system. Though exam reforms continued throughout the 20th century, there have been few during the 21st century, particularly in New York state. In the case of police departments, the civil service exam has acted as a hindrance to its ‘21st Century Policing’ goals and new exam reform efforts have left out officers voices and concerns. Through in-depth interviews of current and retired police officers and local and state civil service administrators in Albany County in New York, this study seeks to understand police influence and insight regarding the civil service exam, placing some of the voice and input for civil service reform on police departments, instead of local and state bureaucrats. The study also looks at the relationship between civil service administrators and police departments. Using practice theory, the study seeks to understand the ways in which the civil service exam was defined in the 20th century and how it is out of step with current thinking while examining possible changes to the civil service exam that would lead to a more equitable hiring process and successful police departments.Keywords: civil service, hiring, merit, policing
Procedia PDF Downloads 19616634 A Design for Application of Mobile Agent Technology to MicroService Architecture
Authors: Masayuki Higashino, Toshiya Kawato, Takao Kawamura
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A monolithic service is based on the N-tier architecture in many cases. In order to divide a monolithic service into microservices, it is necessary to redefine a model as a new microservice by extracting and merging existing models across layers. Refactoring a monolithic service into microservices requires advanced technical capabilities, and it is a difficult way. This paper proposes a design and concept to ease the migration of a monolithic service to microservices using the mobile agent technology. Our proposed approach, mobile agents-based design and concept, enables to ease dividing and merging services.Keywords: mobile agent, microservice, web service, distributed system
Procedia PDF Downloads 15316633 Parameter Estimation via Metamodeling
Authors: Sergio Haram Sarmiento, Arcady Ponosov
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Based on appropriate multivariate statistical methodology, we suggest a generic framework for efficient parameter estimation for ordinary differential equations and the corresponding nonlinear models. In this framework classical linear regression strategies is refined into a nonlinear regression by a locally linear modelling technique (known as metamodelling). The approach identifies those latent variables of the given model that accumulate most information about it among all approximations of the same dimension. The method is applied to several benchmark problems, in particular, to the so-called ”power-law systems”, being non-linear differential equations typically used in Biochemical System Theory.Keywords: principal component analysis, generalized law of mass action, parameter estimation, metamodels
Procedia PDF Downloads 50516632 Density-based Denoising of Point Cloud
Authors: Faisal Zaman, Ya Ping Wong, Boon Yian Ng
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Point cloud source data for surface reconstruction is usually contaminated with noise and outliers. To overcome this, we present a novel approach using modified kernel density estimation (KDE) technique with bilateral filtering to remove noisy points and outliers. First we present a method for estimating optimal bandwidth of multivariate KDE using particle swarm optimization technique which ensures the robust performance of density estimation. Then we use mean-shift algorithm to find the local maxima of the density estimation which gives the centroid of the clusters. Then we compute the distance of a certain point from the centroid. Points belong to outliers then removed by automatic thresholding scheme which yields an accurate and economical point surface. The experimental results show that our approach comparably robust and efficient.Keywords: point preprocessing, outlier removal, surface reconstruction, kernel density estimation
Procedia PDF Downloads 33816631 Using Confirmatory Factor Analysis to Test the Dimensional Structure of Tourism Service Quality
Authors: Ibrahim A. Elshaer, Alaa M. Shaker
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Several previous empirical studies have operationalized service quality as either a multidimensional or unidimensional construct. While few earlier studies investigated some practices of the assumed dimensional structure of service quality, no study has been found to have tested the construct’s dimensionality using confirmatory factor analysis (CFA). To gain a better insight into the dimensional structure of service quality construct, this paper tests its dimensionality using three CFA models (higher order factor model, oblique factor model, and one factor model) on a set of data collected from 390 British tourists visited Egypt. The results of the three tests models indicate that service quality construct is multidimensional. This result helps resolving the problems that might arise from the lack of clarity concerning the dimensional structure of service quality, as without testing the dimensional structure of a measure, researchers cannot assume that the significant correlation is a result of factors measuring the same construct.Keywords: service quality, dimensionality, confirmatory factor analysis, Egypt
Procedia PDF Downloads 58016630 Overhead Reduction by Channel Estimation Using Linear Interpolation for Single Carrier Frequency Domain Equalization Transmission
Authors: Min-Su Song, Haeng-Bok Kil, Eui-Rim Jeong
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This paper proposes a new method to reduce the overhead by pilots for single carrier frequency domain equalization (SC-FDE) transmission. In the conventional SC-FDE transmission structure, the overhead by transmitting pilot is heavy because the pilot are transmitted at every SC-FDE block. The proposed SC-FDE structure has fewer pilots and many SC-FCE blocks are transmitted between pilots. The channel estimation and equalization is performed at the pilot period and the channels between pilots are estimated through linear interpolation. This reduces the pilot overhead by reducing the pilot transmission compared with the conventional structure, and enables reliable channel estimation and equalization.Keywords: channel estimation, linear interpolation, pilot overhead, SC-FDE
Procedia PDF Downloads 26216629 Predicting Data Center Resource Usage Using Quantile Regression to Conserve Energy While Fulfilling the Service Level Agreement
Authors: Ahmed I. Alutabi, Naghmeh Dezhabad, Sudhakar Ganti
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Data centers have been growing in size and dema nd continuously in the last two decades. Planning for the deployment of resources has been shallow and always resorted to over-provisioning. Data center operators try to maximize the availability of their services by allocating multiple of the needed resources. One resource that has been wasted, with little thought, has been energy. In recent years, programmable resource allocation has paved the way to allow for more efficient and robust data centers. In this work, we examine the predictability of resource usage in a data center environment. We use a number of models that cover a wide spectrum of machine learning categories. Then we establish a framework to guarantee the client service level agreement (SLA). Our results show that using prediction can cut energy loss by up to 55%.Keywords: machine learning, artificial intelligence, prediction, data center, resource allocation, green computing
Procedia PDF Downloads 10216628 Inclusive Education in South African Universities: Pre-Service Teachers’ Experiences
Authors: Cina Mosito, Toyin Mary Adewumi, Charlene Nissen
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One of the goals of inclusive education is to provide learners with suitable learning environments and prospects to best attain their potential. This study sought to determine the experiences of studying inclusive education on pre-service teachers’ teaching within the South African education context. A purposeful sample comprising 6 pre-service teachers was selected from a university of technology located in the Western Cape South Africa. Data were collected using open-ended questionnaires, which were exploratory in nature and analyzed thematically. The findings supported significant proportions of experiences as self-reported by pre-service teachers. The pre-service teachers’ experiences of studying inclusive education included inclusive education as an “eye-opener” to the fact that learners experiencing various barriers to learning can be accommodated in the regular classrooms, exposure to some aspects of inclusive education, such as diversity, learners’ rights, and curriculum differentiation. It was also revealed that studying inclusive education made pre-service teachers love and enjoy teaching more. The study shows that awareness of inclusive education has influenced pre-service teachers in South African schools.Keywords: experience, inclusive education, pre-service teacher, South Africa
Procedia PDF Downloads 20016627 Approximation of the Time Series by Fractal Brownian Motion
Authors: Valeria Bondarenko
Abstract:
In this paper, we propose two problems related to fractal Brownian motion. First problem is simultaneous estimation of two parameters, Hurst exponent and the volatility, that describe this random process. Numerical tests for the simulated fBm provided an efficient method. Second problem is approximation of the increments of the observed time series by a power function by increments from the fractional Brownian motion. Approximation and estimation are shown on the example of real data, daily deposit interest rates.Keywords: fractional Brownian motion, Gausssian processes, approximation, time series, estimation of properties of the model
Procedia PDF Downloads 364