Search results for: paper and pulp mill effluent
17671 Feature of Employment Injuries and Maintenance Works of Construction Machinery
Authors: Naoko Kanazawa, Tran Thi Bich Nguyet, Yoshiyuki Higuchi, Hideki Hamada
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Construction machines’ condition is maintained with the regularly inspections, preventive maintenance and repairs by skillful and qualified engineers. If an accident occurs, there will be enormous influence such as human injuries, delays in the term of construction. In this paper, we revealed the characteristics such as inspection, maintenance and repair works for construction machines, and we also clarified the trends of employment injuries based on actual data by simple and cross tabulation methods, and investigated the relation with their works, injured body parts and accident types.Keywords: construction machines, employment injuries, maintenance and repair, safety and health
Procedia PDF Downloads 29717670 Introduction to Transversal Pendant Domination in Graphs
Authors: Nayaka S.R., Putta Swamy, Purushothama S.
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Let G=(V, E) be a graph. A dominating set S in G is a pendant dominating set if < S > contains a pendant vertex. A pendant dominating set of G which intersects every minimum pendant dominating set in G is called a transversal pendant dominating set. The minimum cardinality of a transversal pendant dominating set is called the transversal pendant domination number of G, denoted by γ_tp(G). In this paper, we begin to study this parameter. We calculate γ_tp(G) for some families of graphs. Furthermore, some bounds and relations with other domination parameters are obtained for γ_tp(G).Keywords: dominating set, pendant dominating set, pendant domination number, transversal pendant dominating set, transversal pendant domination number
Procedia PDF Downloads 17817669 Comparative Study of Universities’ Web Structure Mining
Authors: Z. Abdullah, A. R. Hamdan
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This paper is meant to analyze the ranking of University of Malaysia Terengganu, UMT’s website in the World Wide Web. There are only few researches have been done on comparing the ranking of universities’ websites so this research will be able to determine whether the existing UMT’s website is serving its purpose which is to introduce UMT to the world. The ranking is based on hub and authority values which are accordance to the structure of the website. These values are computed using two web-searching algorithms, HITS and SALSA. Three other universities’ websites are used as the benchmarks which are UM, Harvard and Stanford. The result is clearly showing that more work has to be done on the existing UMT’s website where important pages according to the benchmarks, do not exist in UMT’s pages. The ranking of UMT’s website will act as a guideline for the web-developer to develop a more efficient website.Keywords: algorithm, ranking, website, web structure mining
Procedia PDF Downloads 50417668 Software Architecture Optimization Using Swarm Intelligence Techniques
Authors: Arslan Ellahi, Syed Amjad Hussain, Fawaz Saleem Bokhari
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Optimization of software architecture can be done with respect to a quality attributes (QA). In this paper, there is an analysis of multiple research papers from different dimensions that have been used to classify those attributes. We have proposed a technique of swarm intelligence Meta heuristic ant colony optimization algorithm as a contribution to solve this critical optimization problem of software architecture. We have ranked quality attributes and run our algorithm on every QA, and then we will rank those on the basis of accuracy. At the end, we have selected the most accurate quality attributes. Ant colony algorithm is an effective algorithm and will perform best in optimizing the QA’s and ranking them.Keywords: complexity, rapid evolution, swarm intelligence, dimensions
Procedia PDF Downloads 25417667 Strategic Cyber Sentinel: A Paradigm Shift in Enhancing Cybersecurity Resilience
Authors: Ayomide Oyedele
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In the dynamic landscape of cybersecurity, "Strategic Cyber Sentinel" emerges as a revolutionary framework, transcending traditional approaches. This paper pioneers a holistic strategy, weaving together threat intelligence, machine learning, and adaptive defenses. Through meticulous real-world simulations, we demonstrate the unprecedented resilience of our framework against evolving cyber threats. "Strategic Cyber Sentinel" redefines proactive threat mitigation, offering a robust defense architecture poised for the challenges of tomorrow.Keywords: cybersecurity, resilience, threat intelligence, machine learning, adaptive defenses
Procedia PDF Downloads 7217666 Mining Big Data in Telecommunications Industry: Challenges, Techniques, and Revenue Opportunity
Authors: Hoda A. Abdel Hafez
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Mining big data represents a big challenge nowadays. Many types of research are concerned with mining massive amounts of data and big data streams. Mining big data faces a lot of challenges including scalability, speed, heterogeneity, accuracy, provenance and privacy. In telecommunication industry, mining big data is like a mining for gold; it represents a big opportunity and maximizing the revenue streams in this industry. This paper discusses the characteristics of big data (volume, variety, velocity and veracity), data mining techniques and tools for handling very large data sets, mining big data in telecommunication and the benefits and opportunities gained from them.Keywords: mining big data, big data, machine learning, telecommunication
Procedia PDF Downloads 39817665 Evaluation of the exIWO Algorithm Based on the Traveling Salesman Problem
Authors: Daniel Kostrzewa, Henryk Josiński
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The expanded Invasive Weed Optimization algorithm (exIWO) is an optimization metaheuristic modelled on the original IWO version created by the researchers from the University of Tehran. The authors of the present paper have extended the exIWO algorithm introducing a set of both deterministic and non-deterministic strategies of individuals’ selection. The goal of the project was to evaluate the exIWO by testing its usefulness for solving some test instances of the traveling salesman problem (TSP) taken from the TSPLIB collection which allows comparing the experimental results with optimal values.Keywords: expanded invasive weed optimization algorithm (exIWO), traveling salesman problem (TSP), heuristic approach, inversion operator
Procedia PDF Downloads 82717664 Fapitow: An Advanced AI Agent for Travel Agent Competition
Authors: Faiz Ul Haque Zeya
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In this paper, Fapitow’s bidding strategy and approach to participate in Travel Agent Competition (TAC) is described. Previously, Fapitow is designed using the agents provided by the TAC Team and mainly used their modification for developing our strategy. But later, by observing the behavior of the agent, it is decided to come up with strategies that will be the main cause of improved utilities of the agent, and by theoretical examination, it is evident that the strategies will provide a significant improvement in performance which is later proved by agent’s performance in the games. The techniques and strategies for further possible improvement are also described. TAC provides a real-time, uncertain environment for learning, experimenting, and implementing various AI techniques. Some lessons learned about handling uncertain environments are also presented.Keywords: agent, travel agent competition, bidding, TAC
Procedia PDF Downloads 9717663 Energy Storage Modelling for Power System Reliability and Environmental Compliance
Authors: Rajesh Karki, Safal Bhattarai, Saket Adhikari
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Reliable and economic operation of power systems are becoming extremely challenging with large scale integration of renewable energy sources due to the intermittency and uncertainty associated with renewable power generation. It is, therefore, important to make a quantitative risk assessment and explore the potential resources to mitigate such risks. Probabilistic models for different energy storage systems (ESS), such as the flywheel energy storage system (FESS) and the compressed air energy storage (CAES) incorporating specific charge/discharge performance and failure characteristics suitable for probabilistic risk assessment in power system operation and planning are presented in this paper. The proposed methodology used in FESS modelling offers flexibility to accommodate different configurations of plant topology. It is perceived that CAES has a high potential for grid-scale application, and a hybrid approach is proposed, which embeds a Monte-Carlo simulation (MCS) method in an analytical technique to develop a suitable reliability model of the CAES. The proposed ESS models are applied to a test system to investigate the economic and reliability benefits of the energy storage technologies in system operation and planning, as well as to assess their contributions in facilitating wind integration during different operating scenarios. A comparative study considering various storage system topologies are also presented. The impacts of failure rates of the critical components of ESS on the expected state of charge (SOC) and the performance of the different types of ESS during operation are illustrated with selected studies on the test system. The paper also applies the proposed models on the test system to investigate the economic and reliability benefits of the different ESS technologies and to evaluate their contributions in facilitating wind integration during different operating scenarios and system configurations. The conclusions drawn from the study results provide valuable information to help policymakers, system planners, and operators in arriving at effective and efficient policies, investment decisions, and operating strategies for planning and operation of power systems with large penetrations of renewable energy sources.Keywords: flywheel energy storage, compressed air energy storage, power system reliability, renewable energy, system planning, system operation
Procedia PDF Downloads 12417662 Blood Glucose Measurement and Analysis: Methodology
Authors: I. M. Abd Rahim, H. Abdul Rahim, R. Ghazali
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There is numerous non-invasive blood glucose measurement technique developed by researchers, and near infrared (NIR) is the potential technique nowadays. However, there are some disagreements on the optimal wavelength range that is suitable to be used as the reference of the glucose substance in the blood. This paper focuses on the experimental data collection technique and also the analysis method used to analyze the data gained from the experiment. The selection of suitable linear and non-linear model structure is essential in prediction system, as the system developed need to be conceivably accurate.Keywords: linear, near-infrared (NIR), non-invasive, non-linear, prediction system
Procedia PDF Downloads 45217661 Implementation of a Method of Crater Detection Using Principal Component Analysis in FPGA
Authors: Izuru Nomura, Tatsuya Takino, Yuji Kageyama, Shin Nagata, Hiroyuki Kamata
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We propose a method of crater detection from the image of the lunar surface captured by the small space probe. We use the principal component analysis (PCA) to detect craters. Nevertheless, considering severe environment of the space, it is impossible to use generic computer in practice. Accordingly, we have to implement the method in FPGA. This paper compares FPGA and generic computer by the processing time of a method of crater detection using principal component analysis.Keywords: crater, PCA, eigenvector, strength value, FPGA, processing time
Procedia PDF Downloads 54417660 Lacunarity measures on Mammographic Image Applying Fractal Dimension and Lacunarity Measures
Authors: S. Sushma, S. Balasubramanian, K. C. Latha, R. Sridhar
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Structural texture measures are used to address the aspect of breast cancer risk assessment in screening mammograms. The current study investigates whether texture properties characterized by local Fractal Dimension (FD) and lacunarity contribute to assess breast cancer risk. Fractal Dimension represents the complexity while the lacunarity characterize the gap of a fractal dimension. In this paper, we present our result confirming that the lacunarity value resulted in algorithm using mammogram images states that level of lacunarity will be low when the Fractal Dimension value will be high.Keywords: breast cancer, fractal dimension, image analysis, lacunarity, mammogram
Procedia PDF Downloads 38117659 Existence of Positive Solutions to a Dirichlet Second Order Boundary Value Problem
Authors: Muhammad Sufian Jusoh, Mesliza Mohamed
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In this paper, we investigate the existence of positive solutions for a Dirichlet second order boundary value problem by applying the Krasnosel'skii fixed point theorem on compression and expansion of cones.Keywords: Krasnosel'skii fixed point theorem, positive solutions, Dirichlet boundary value problem, Dirichlet second order boundary problem
Procedia PDF Downloads 41017658 The Development of Private Housing Schemes to Address the Housing Problem: A Case Study of Islamabad
Authors: Zafar Iqbal Zafar, Abdul Waheed
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The Capital Development Authority (CDA) Ordinance 1960 requires CDA to acquire land for the provision of housing in Islamabad. However, the pace of residential development was slow and the demand for housing was increasing rapidly. To resolve the growing housing problem, CDA involved the private sector in the development of housing schemes. Detailed bye-laws for regulation of private housing schemes were prepared and these bylaws were called “Modalities & Procedures”. This paper explains how the Modalities and Procedures of CDA have been successful in regulating the development of private housing schemes in Islamabad.Keywords: housing schemes, master plan, development works, zoning regulations
Procedia PDF Downloads 19517657 Early Detection of Damages in Railway Steel Truss Bridges from Measured Dynamic Responses
Authors: Dinesh Gundavaram
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This paper presents an investigation on bridge damage detection based on the dynamic responses estimated from a passing vehicle. A numerical simulation of steel truss bridge for railway was used in this investigation. The bridge response at different locations is measured using CSI-Bridge software. Several damage scenarios are considered including different locations and severities. The possibilities of dynamic properties of global modes in the identification of structural changes in truss bridges were discussed based on the results of measurement.Keywords: bridge, damage, dynamic responses, detection
Procedia PDF Downloads 26517656 Towards the Definition of New Instruments of Design and Evaluation of Environmental Impacts in Built Environment
Authors: Bernarette Soust Verdaguer
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Sustainability applied to the built environment has been understood in practice as a strategy to improve efficiency. Its evolution into ecology closer visions are becoming more intense. So the paradigm of regeneration is presented as a complementary alternative to sustainability, emphasizing the association with nature, betting adaptation, recovery and resilience. New design tools and evaluation of built spaces, incorporating this strategy are necessary. In this sense, how it could contribute to the concept of regeneration in built environment design and environmental impacts assessment tools? This paper explores and analyzes some of these keys.Keywords: sustainability, regeneration, environmental impacts assessment, built environment
Procedia PDF Downloads 41317655 Performance Improvement of UWB Corrugated Antipodal Vivaldi Antenna Using Spiral Shape Negative Index Metamaterial
Authors: Rahul Singha, D. Vakula
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This paper presents a corrugated antipodal vivaldi antenna with improved performance by using negative index metamaterial (NIM) of the Archimedean spiral design. A single layer NIM piece is placed perpendicular middle of the two arm of the proposed antenna. The antenna size is 30×60×0.787 mm3 operating at 8GHz. The simulated results of NIM corrugated antipodal vivaldi antenna show that the gain and directivity has increased up to 1.2dB and 1dB respectively. The HPBW is increased by 90 with the reflection coefficient less than ‒10 dB from 4.7 GHz to 11 GHz for UWB application.Keywords: Negative Index Metamaterial (NIM), Ultra Wide Band (UWB), Half Power Beam Width (HPBW), vivaldi antenna
Procedia PDF Downloads 61017654 Jet Impingement Heat Transfer on a Rib-Roughened Flat Plate
Authors: A. H. Alenezi
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Cooling by impingement jet is known to have a significant high local and average heat transfer coefficient which make it widely used in industrial cooling systems. The heat transfer characteristics of an impinging jet on rib-roughened flat plate has been investigated numerically. This paper was set out to investigate the effect of rib height on the heat transfer rate. Since the flow needs to have enough spacing after passing the rib to allow reattachment especially for high Reynolds numbers, this study focuses on finding the optimum rib height which would be the best to maximize the heat transfer rate downstream the plate. This investigation employs a round nozzle with hydraulic diameter (Dh) of 13.5 mm, Jet-to-target distance of (H/D) of 4, rib location=1.5D and and finally jet angels of 45˚ and 90˚ under the influence of Re =10,000.Keywords: jet impingement, CFD, turbulence model, heat transfer
Procedia PDF Downloads 34417653 South African Mandatory Minimum Sentencing: Causes and Consequences
Authors: Alphonso Augustine Goliath
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In 1997 South Africa adopted legislation introducing severe mandatory minimum sentences. This was a political response to counter the escalating violent crime the country experienced when it transitioned to democracy. Despite minimum sentences being fully operational for more than two decades, violent crimes like murder and rape have not abated. This paper provides a critique of the efficacy of minimums sentences with a primary focus on the legislation’s main aim of preventing or curbing crime, its relationship with prison overcrowding, and its continued constitutionality.Keywords: constitutionality, deterrence, incapacitation, minimum sentencing legislation, prison overcrowding, rehabilitation, recidivism, retribution, violent crime
Procedia PDF Downloads 7917652 Uni … Mihi ('to Me Only'): Patterns of Uniqueness in Statius' Thebaid and Silius' Punica
Authors: Arianna Sacerdoti
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There is a rich and frequent representation of uniqueness in Statius’ poem called Thebaid. This topos interweave with a psychoanalytical study about groups and individual but is also a literary device. This paper will analyze all the passages in the 'Thebaid' referred to uniqueness and exceptionality. Antigone, Adrastus and other characters are, in fact, often characterized as the only ones to behave in a specific way or to do something. Also, the insomniac characters are often the only ones who do not sleep. The material of such a tòpos is very rich throughout the 'Thebaid'. The methodology will be text-oriented. Conclusions will enlighten Statius’ specific use of this tòpos, as related to his models, and will be interdisciplinary. In concluding, this is a study linking philology and psychoanalysis and focused on a topic which deserves a specific analysis.Keywords: statius, Silius Italicus, uniqueness, epic
Procedia PDF Downloads 17617651 Driven Force of Integrated Reporting in Thailand
Authors: Nuttha Kirdsinsap, Watchaneeporn Setthasakko
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This paper aims to gain opinions and perspectives of Certified Public Accountants (CPA) in Thailand regarding the driven force of Integrated Reporting. It employs in-depth interviews with CPA from different big 4 audits firms in Thailand, including PWC, Ernst and Young, Deloitte, and KPMG. It is found that the driven force of Integrated Reporting made CPA in Thailand awaken to the big change that is coming in the future, and it is said to be another big learning and integrating period between certified public accountants and other professionals (for example, engineers, environmentalists and lawyers), which, certified public accountants in Thailand will have to push themselves so hard to catch up.Keywords: integrated reporting, learning, knowledge, certified public accountants, Thailand
Procedia PDF Downloads 26517650 A Method for Calculating Dew Point Temperature in the Humidity Test
Authors: Wu Sa, Zhang Qian, Li Qi, Wang Ye
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Currently in humidity tests having not put the Dew point temperature as a control parameter, this paper selects wet and dry bulb thermometer to measure the vapor pressure, and introduces several the saturation vapor pressure formulas easily calculated on the controller. Then establish the Dew point temperature calculation model to obtain the relationship between the Dew point temperature and vapor pressure. Finally check through the 100 groups of sample in the range of 0-100 ℃ from "Psychrometric handbook", find that the average error is small. This formula can be applied to calculate the Dew point temperature in the humidity test.Keywords: dew point temperature, psychrometric handbook, saturation vapor pressure, wet and dry bulb thermometer
Procedia PDF Downloads 47617649 Optimal Price Points in Differential Pricing
Authors: Katerina Kormusheva
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Pricing plays a pivotal role in the marketing discipline as it directly influences consumer perceptions, purchase decisions, and overall market positioning of a product or service. This paper seeks to expand current knowledge in the area of discriminatory and differential pricing, a main area of marketing research. The methodology includes developing a framework and a model for determining how many price points to implement in differential pricing. We focus on choosing the levels of differentiation, derive a function form of the model framework proposed, and lastly, test it empirically with data from a large-scale marketing pricing experiment of services in telecommunications.Keywords: marketing, differential pricing, price points, optimization
Procedia PDF Downloads 8617648 On Parameter Estimation of Simultaneous Linear Functional Relationship Model for Circular Variables
Authors: N. A. Mokhtar, A. G. Hussin, Y. Z. Zubairi
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This paper proposes a new simultaneous simple linear functional relationship model by assuming equal error variances. We derive the maximum likelihood estimate of the parameters in the simultaneous model and the covariance. We show by simulation study the small bias values of the parameters suggest the suitability of the estimation method. As an illustration, the proposed simultaneous model is applied to real data of the wind direction and wave direction measured by two different instruments.Keywords: simultaneous linear functional relationship model, Fisher information matrix, parameter estimation, circular variables
Procedia PDF Downloads 35917647 A Way of Converting Color Images to Gray Scale Ones for the Color-Blind: Applying to the part of the Tokyo Subway Map
Authors: Katsuhiro Narikiyo, Shota Hashikawa
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This paper proposes a way of removing noises and reducing the number of colors contained in a JPEG image. Main purpose of this project is to convert color images to monochrome images for the color-blind. We treat the crispy color images like the Tokyo subway map. Each color in the image has an important information. But for the color blinds, similar colors cannot be distinguished. If we can convert those colors to different gray values, they can distinguish them. Therefore we try to convert color images to monochrome images.Keywords: color-blind, JPEG, monochrome image, denoise
Procedia PDF Downloads 35017646 Assessment of Investment Programs in Agriculture in Georgia
Authors: M. Chavleishvili
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The paper presents the analysis of the current situation of agricultural development in Georgia. The investment environment that supports development of the agricultural sector is evaluated and the key priorities are identified. The analysis of the projects already implemented with state and EU support, as well as those that are being currently implemented is presented. The policy and the programs supporting development of agricultural sector are analyzed. Based on an analysis of the evaluations of experts and the primary accounting documents, the outcomes of investment programs, their advantages and disadvantages, are studied. Through identifying investment programs in the agricultural sector of Georgia, corresponding conclusions are made, based on which some recommendations are developed.Keywords: agriculture, investments, investment programs, projects
Procedia PDF Downloads 36017645 A Survey and Analysis on Inflammatory Pain Detection and Standard Protocol Selection Using Medical Infrared Thermography from Image Processing View Point
Authors: Mrinal Kanti Bhowmik, Shawli Bardhan Jr., Debotosh Bhattacharjee
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Human skin containing temperature value more than absolute zero, discharges infrared radiation related to the frequency of the body temperature. The difference in infrared radiation from the skin surface reflects the abnormality present in human body. Considering the difference, detection and forecasting the temperature variation of the skin surface is the main objective of using Medical Infrared Thermography(MIT) as a diagnostic tool for pain detection. Medical Infrared Thermography(MIT) is a non-invasive imaging technique that records and monitors the temperature flow in the body by receiving the infrared radiated from the skin and represent it through thermogram. The intensity of the thermogram measures the inflammation from the skin surface related to pain in human body. Analysis of thermograms provides automated anomaly detection associated with suspicious pain regions by following several image processing steps. The paper represents a rigorous study based survey related to the processing and analysis of thermograms based on the previous works published in the area of infrared thermal imaging for detecting inflammatory pain diseases like arthritis, spondylosis, shoulder impingement, etc. The study also explores the performance analysis of thermogram processing accompanied by thermogram acquisition protocols, thermography camera specification and the types of pain detected by thermography in summarized tabular format. The tabular format provides a clear structural vision of the past works. The major contribution of the paper introduces a new thermogram acquisition standard associated with inflammatory pain detection in human body to enhance the performance rate. The FLIR T650sc infrared camera with high sensitivity and resolution is adopted to increase the accuracy of thermogram acquisition and analysis. The survey of previous research work highlights that intensity distribution based comparison of comparable and symmetric region of interest and their statistical analysis assigns adequate result in case of identifying and detecting physiological disorder related to inflammatory diseases.Keywords: acquisition protocol, inflammatory pain detection, medical infrared thermography (MIT), statistical analysis
Procedia PDF Downloads 33717644 Improve of Power Quality in Electrical Network Using STATCOM
Authors: A. R. Alesaadi
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Flexible AC transmission system (FACTS) devices have an important rule on expended electrical transmission networks. These devices can provide control of one or more AC transmission system parameters to enhance controllability and increase power transfer capability. In this paper the effect of these devices on reliability of electrical networks is studied and it is shown that using of FACTS devices can improve the reliability of power networks and power quality in electrical networks, significantly.Keywords: FACTS devices, power networks, power quality, STATCOM
Procedia PDF Downloads 65817643 Impact of Sensory Marketing on Consumer Consumption Behaviour in the Hotel Spa Industry
Authors: Li (Claudia) Chen
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With the rapid development of the global economy, the growing prevalence of customer health consciousness has arisen over the last decade. Consumers are considered more healthy lifestyles and wellness routines in their daily life, and likewise, they are inclined to invest disposable incomes in enhancing their health and wellness, beauty, and social identity. Nowadays, visiting spas has become a popular activity; particularly, millennials are increasingly prone to visiting spas. It has now become one of the major places for relaxation, rejuvenation, revitalization, and enjoyment by providing various types of spa services such as hotel and resort spas, destination spas, mineral, and thermal spring spas, medical spas, and so forth. The hotel and resort spa has been becoming increasingly popular among other spas, which is the largest number of spas and revenue over the last five years, and has now surpassed day/salon spas as the industry revenue leader. In the hotel and resort spa industry, sensory experience plays a vital role in the customer journey, and it encompasses all aspects of the sense that can affect the overall experience. Consumers use senses-sight, sound, touch, smell, and taste to gather the information that contributes to the establishment of an experience, and all senses interacting together form the foundation of sensory experiences. Sensory marketing as a marketing strategy engages consumers' senses and affects their behaviour, yet consumers are often unaware of the way senses interact with their day-to-day experiences. Indeed, it is important to understand consumer sensory experience in terms of how it influences consumer consumption behaviour. The aim of this paper is to evaluate the sensory experiences of consumers and the ways that sensory experiences shape consumer behaviour in the hotel and resort spa industry. This paper consists of in-depth interviews, focus groups, and participant-observation methods to collect data from different stakeholders. The findings reveal that multisensory experiences play vital roles in consumer spa experiences and are highly influential in consumer perception, cognition, and behaviour. Moreover, the findings also demonstrate that sensory stimuli bring positive or negative effects on consumer experience in the hotel spa industry. Ultimately, the findings also offer additional insight to managers on sensory marketing strategy to stimulate brand experience that can establish customer loyalty.Keywords: sensory marketing, senses, consumer behaviour, multi-sensory marketing, hotel and resorts spa industry, qualitative research
Procedia PDF Downloads 7317642 Model Observability – A Monitoring Solution for Machine Learning Models
Authors: Amreth Chandrasehar
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Machine Learning (ML) Models are developed and run in production to solve various use cases that help organizations to be more efficient and help drive the business. But this comes at a massive development cost and lost business opportunities. According to the Gartner report, 85% of data science projects fail, and one of the factors impacting this is not paying attention to Model Observability. Model Observability helps the developers and operators to pinpoint the model performance issues data drift and help identify root cause of issues. This paper focuses on providing insights into incorporating model observability in model development and operationalizing it in production.Keywords: model observability, monitoring, drift detection, ML observability platform
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