Search results for: sentence representation
687 Women’s Leadership for Sustainable Outcomes: On the Road to Gender Equality for a Better Tomorrow
Authors: Deepika Faugoo
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Gender equality stands as the cornerstone of societal progress, intricately woven into the very essence of the 2030 Sustainable Development Goals (SDGs). Yet, the gender leadership gap remains a formidable obstacle hindering global equality. Despite women's educational advancements, their underrepresentation in senior roles persists as a baffling anomaly. Drawing from contemporary research, empirical evidence, and secondary data, this paper underscores the imperative of advancing women in leadership to drive SDGs related to empowerment and gender equality by 2030. It highlights the undeniable link between women leaders and sustainable outcomes, citing case studies and examples of their contributions to financial performance, prosperity, economic growth, and societal well-being. Exploring persistent barriers and emerging challenges, it offers actionable strategies to enhance women's representation in leadership, promising transformative benefits for organizations and societies. Amidst societal upheavals, gender equality emerges as a potent solution, catalyzing change toward a future where every voice resonates, ensuring no one is left behind.Keywords: senior leadership, empowerment, SDGs, gender equality
Procedia PDF Downloads 42686 Temporal and Spacial Adaptation Strategies in Aerodynamic Simulation of Bluff Bodies Using Vortex Particle Methods
Authors: Dario Milani, Guido Morgenthal
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Fluid dynamic computation of wind caused forces on bluff bodies e.g light flexible civil structures or high incidence of ground approaching airplane wings, is one of the major criteria governing their design. For such structures a significant dynamic response may result, requiring the usage of small scale devices as guide-vanes in bridge design to control these effects. The focus of this paper is on the numerical simulation of the bluff body problem involving multiscale phenomena induced by small scale devices. One of the solution methods for the CFD simulation that is relatively successful in this class of applications is the Vortex Particle Method (VPM). The method is based on a grid free Lagrangian formulation of the Navier-Stokes equations, where the velocity field is modeled by particles representing local vorticity. These vortices are being convected due to the free stream velocity as well as diffused. This representation yields the main advantages of low numerical diffusion, compact discretization as the vorticity is strongly localized, implicitly accounting for the free-space boundary conditions typical for this class of FSI problems, and a natural representation of the vortex creation process inherent in bluff body flows. When the particle resolution reaches the Kolmogorov dissipation length, the method becomes a Direct Numerical Simulation (DNS). However, it is crucial to note that any solution method aims at balancing the computational cost against the accuracy achievable. In the classical VPM method, if the fluid domain is discretized by Np particles, the computational cost is O(Np2). For the coupled FSI problem of interest, for example large structures such as long-span bridges, the aerodynamic behavior may be influenced or even dominated by small structural details such as barriers, handrails or fairings. For such geometrically complex and dimensionally large structures, resolving the complete domain with the conventional VPM particle discretization might become prohibitively expensive to compute even for moderate numbers of particles. It is possible to reduce this cost either by reducing the number of particles or by controlling its local distribution. It is also possible to increase the accuracy of the solution without increasing substantially the global computational cost by computing a correction of the particle-particle interaction in some regions of interest. In this paper different strategies are presented in order to extend the conventional VPM method to reduce the computational cost whilst resolving the required details of the flow. The methods include temporal sub stepping to increase the accuracy of the particles convection in certain regions as well as dynamically re-discretizing the particle map to locally control the global and the local amount of particles. Finally, these methods will be applied on a test case and the improvements in the efficiency as well as the accuracy of the proposed extension to the method are presented. The important benefits in terms of accuracy and computational cost of the combination of these methods will be thus presented as long as their relevant applications.Keywords: adaptation, fluid dynamic, remeshing, substepping, vortex particle method
Procedia PDF Downloads 254685 A Supervised Approach for Word Sense Disambiguation Based on Arabic Diacritics
Authors: Alaa Alrakaf, Sk. Md. Mizanur Rahman
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Since the last two decades’ Arabic natural language processing (ANLP) has become increasingly much more important. One of the key issues related to ANLP is ambiguity. In Arabic language different pronunciation of one word may have a different meaning. Furthermore, ambiguity also has an impact on the effectiveness and efficiency of Machine Translation (MT). The issue of ambiguity has limited the usefulness and accuracy of the translation from Arabic to English. The lack of Arabic resources makes ambiguity problem more complicated. Additionally, the orthographic level of representation cannot specify the exact meaning of the word. This paper looked at the diacritics of Arabic language and used them to disambiguate a word. The proposed approach of word sense disambiguation used Diacritizer application to Diacritize Arabic text then found the most accurate sense of an ambiguous word using Naïve Bayes Classifier. Our Experimental study proves that using Arabic Diacritics with Naïve Bayes Classifier enhances the accuracy of choosing the appropriate sense by 23% and also decreases the ambiguity in machine translation.Keywords: Arabic natural language processing, machine learning, machine translation, Naive bayes classifier, word sense disambiguation
Procedia PDF Downloads 346684 Multimodal Discourse Analysis of Egyptian Political Movies: A Case Study of 'People at the Top Ahl Al Kemma' Movie
Authors: Mariam Waheed Mekheimar
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Nascent research is conducted to the advancement of discourse analysis to include different modes as images, sound, and text. The focus of this study will be to elucidate how images are embedded with texts in an audio-visual medium as cinema to send political messages; it also seeks to broaden our understanding of politics beyond a relatively narrow conceptualization of the 'political' through studying non-traditional discourses as the cinematic discourse. The aim herein is to develop a systematic approach to film analysis to capture political meanings in films. The method adopted in this research is Multimodal Discourse Analysis (MDA) focusing on embedding visuals with texts. As today's era is the era of images and that necessitates analyzing images. Drawing on the writings of O'Halloran, Kress and Van Leuween, John Bateman and Janina Wildfeuer, different modalities will be studied to understand how those modes interact in the cinematic discourse. 'People at the top movie' is selected as an example to unravel the political meanings throughout film tackling the cinematic representation of the notion of social justice.Keywords: Egyptian cinema, multimodal discourse analysis, people at the top, social justice
Procedia PDF Downloads 406683 Recurrent Neural Networks with Deep Hierarchical Mixed Structures for Chinese Document Classification
Authors: Zhaoxin Luo, Michael Zhu
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In natural languages, there are always complex semantic hierarchies. Obtaining the feature representation based on these complex semantic hierarchies becomes the key to the success of the model. Several RNN models have recently been proposed to use latent indicators to obtain the hierarchical structure of documents. However, the model that only uses a single-layer latent indicator cannot achieve the true hierarchical structure of the language, especially a complex language like Chinese. In this paper, we propose a deep layered model that stacks arbitrarily many RNN layers equipped with latent indicators. After using EM and training it hierarchically, our model solves the computational problem of stacking RNN layers and makes it possible to stack arbitrarily many RNN layers. Our deep hierarchical model not only achieves comparable results to large pre-trained models on the Chinese short text classification problem but also achieves state of art results on the Chinese long text classification problem.Keywords: nature language processing, recurrent neural network, hierarchical structure, document classification, Chinese
Procedia PDF Downloads 55682 Under the ‘Fourth World’: A Discussion to the Transformation of Character-Settings in Chinese Ethnic Minority Films
Authors: Sicheng Liu
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Based on the key issue of the current fourth world studies, the article aims to analyze the features of character-settings in Chinese ethnic minority films. As a generalizable transformation, this feature progresses from a microcosmic representation. It argues that, as the mediation, films note down the current state of people and their surroundings, while the ‘fourth world’ theorization (or the fourth cinema) provides a new perspective to ethnic minority topics in China. Like the ‘fourth cinema’ focusing on the depiction of indigeneity groups, the ethnic minority films portrait the non-Han nationalities in China. Both types possess the motif of returning history-writing to the minority members’ own hand. In this article, the discussion entirely involves three types of cinematic role-settings in Chinese minority themed films, which illustrates that, similar to the creative principle of the fourth film, the themes and narratives of these films are becoming more individualized, with more concern to minority grassroots.Keywords: 'fourth world', Chinese ethnic minority films, ethnicity and culture reflection, 'mother tongue' (muyu), highlighting to individual spiritual
Procedia PDF Downloads 180681 Multi-Dimensional Experience of Processing Textual and Visual Information: Case Study of Allocations to Places in the Mind’s Eye Based on Individual’s Semantic Knowledge Base
Authors: Joanna Wielochowska, Aneta Wielochowska
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Whilst the relationship between scientific areas such as cognitive psychology, neurobiology and philosophy of mind has been emphasized in recent decades of scientific research, concepts and discoveries made in both fields overlap and complement each other in their quest for answers to similar questions. The object of the following case study is to describe, analyze and illustrate the nature and characteristics of a certain cognitive experience which appears to display features of synaesthesia, or rather high-level synaesthesia (ideasthesia). The following research has been conducted on the subject of two authors, monozygotic twins (both polysynaesthetes) experiencing involuntary associations of identical nature. Authors made attempts to identify which cognitive and conceptual dependencies may guide this experience. Operating on self-introduced nomenclature, the described phenomenon- multi-dimensional processing of textual and visual information- aims to define a relationship that involuntarily and immediately couples the content introduced by means of text or image a sensation of appearing in a certain place in the mind’s eye. More precisely: (I) defining a concept introduced by means of textual content during activity of reading or writing, or (II) defining a concept introduced by means of visual content during activity of looking at image(s) with simultaneous sensation of being allocated to a given place in the mind’s eye. A place can be then defined as a cognitive representation of a certain concept. During the activity of processing information, a person has an immediate and involuntary feel of appearing in a certain place themselves, just like a character of a story, ‘observing’ a venue or a scenery from one or more perspectives and angles. That forms a unique and unified experience, constituting a background mental landscape of text or image being looked at. We came to a conclusion that semantic allocations to a given place could be divided and classified into the categories and subcategories and are naturally linked with an individual’s semantic knowledge-base. A place can be defined as a representation one’s unique idea of a given concept that has been established in their semantic knowledge base. A multi-level structure of selectivity of places in the mind’s eye, as a reaction to a given information (one stimuli), draws comparisons to structures and patterns found in botany. Double-flowered varieties of flowers and a whorl system (arrangement) which is characteristic to components of some flower species were given as an illustrative example. A composition of petals that fan out from one single point and wrap around a stem inspired an idea that, just like in nature, in philosophy of mind there are patterns driven by the logic specific to a given phenomenon. The study intertwines terms perceived through the philosophical lens, such as definition of meaning, subjectivity of meaning, mental atmosphere of places, and others. Analysis of this rare experience aims to contribute to constantly developing theoretical framework of the philosophy of mind and influence the way human semantic knowledge base and processing given content in terms of distinguishing between information and meaning is researched.Keywords: information and meaning, information processing, mental atmosphere of places, patterns in nature, philosophy of mind, selectivity, semantic knowledge base, senses, synaesthesia
Procedia PDF Downloads 115680 Labview-Based System for Fiber Links Events Detection
Authors: Bo Liu, Qingshan Kong, Weiqing Huang
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With the rapid development of modern communication, diagnosing the fiber-optic quality and faults in real-time is widely focused. In this paper, a Labview-based system is proposed for fiber-optic faults detection. The wavelet threshold denoising method combined with Empirical Mode Decomposition (EMD) is applied to denoise the optical time domain reflectometer (OTDR) signal. Then the method based on Gabor representation is used to detect events. Experimental measurements show that signal to noise ratio (SNR) of the OTDR signal is improved by 1.34dB on average, compared with using the wavelet threshold denosing method. The proposed system has a high score in event detection capability and accuracy. The maximum detectable fiber length of the proposed Labview-based system can be 65km.Keywords: empirical mode decomposition, events detection, Gabor transform, optical time domain reflectometer, wavelet threshold denoising
Procedia PDF Downloads 119679 Optimized Dynamic Bayesian Networks and Neural Verifier Test Applied to On-Line Isolated Characters Recognition
Authors: Redouane Tlemsani, Redouane, Belkacem Kouninef, Abdelkader Benyettou
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In this paper, our system is a Markovien system which we can see it like a Dynamic Bayesian Networks. One of the major interests of these systems resides in the complete training of the models (topology and parameters) starting from training data. The Bayesian Networks are representing models of dubious knowledge on complex phenomena. They are a union between the theory of probability and the graph theory in order to give effective tools to represent a joined probability distribution on a set of random variables. The representation of knowledge bases on description, by graphs, relations of causality existing between the variables defining the field of study. The theory of Dynamic Bayesian Networks is a generalization of the Bayesians networks to the dynamic processes. Our objective amounts finding the better structure which represents the relationships (dependencies) between the variables of a dynamic bayesian network. In applications in pattern recognition, one will carry out the fixing of the structure which obliges us to admit some strong assumptions (for example independence between some variables).Keywords: Arabic on line character recognition, dynamic Bayesian network, pattern recognition, networks
Procedia PDF Downloads 606678 Rethinking the History of an Expanding City through Its Images: Birmingham, England, the Nineteenth Century
Authors: Lin Chang
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Birmingham, England was a town in the late-eighteenth century and became the nation’s second largest city in the late nineteenth century. The city expanded rapidly in terms of its population and size. Three generations of artists from a local family, the Lines, made a large number of drawings and paintings depicting the growth and changes of their city. At first sight, the meaning of the pictures seems straight-forward: providing records of what were torn down and newly-built. However, except for being read as maps, the pictures reveal a struggle in vision as to whether unsightly manufactories and their smoking chimneys should be visualized and how far the borders of the town should have been positioned and understood as they continued to grow and encroached upon its immediate countryside. This art-historic paper examines some topographic views by the Lines family and explores how they, through unusual depiction of rural and urban scenery, manage to give form to the borderlands between the country and the city. This paper argues that while the idea of the country and the city seems to be common sense, the two realms actually pose difficulty for visual representation as to where exactly their borders are and the idea itself has dichotomized the way people consider landscape imageries to be.Keywords: Birmingham, suburb, urban fringes, landscape
Procedia PDF Downloads 191677 Self-denigration in Doctoral Defense Sessions: Scale Development and Validation
Authors: Alireza Jalilifar, Nadia Mayahi
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The dissertation defense as a complicated conflict-prone context entails the adoption of elegant interactional strategies, one of which is self-denigration. This study aimed to develop and validate a self-denigration model that fits the context of doctoral defense sessions in applied linguistics. Two focus group discussions provided the basis for developing this conceptual model, which assumed 10 functions for self-denigration, namely good manners, modesty, affability, altruism, assertiveness, diffidence, coercive self-deprecation, evasion, diplomacy, and flamboyance. These functions were used to design a 40-item questionnaire on the attitudes of applied linguists concerning self-denigration in defense sessions. The confirmatory factor analysis of the questionnaire indicated the predictive ability of the measurement model. The findings of this study suggest that self-denigration in doctoral defense sessions is the social representation of the participants’ values, ideas and practices adopted as a negotiation strategy and a conflict management policy for the purpose of establishing harmony and maintaining resilience. This study has implications for doctoral students and academics and illuminates further research on self-denigration in other contexts.Keywords: academic discourse, politeness, self-denigration, grounded theory, dissertation defense
Procedia PDF Downloads 126676 Modeling User Context Using CEAR Diagram
Authors: Ravindra Dastikop, G. S. Thyagaraju, U. P. Kulkarni
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Even though the number of context aware applications is increasing day by day along with the users, till today there is no generic programming paradigm for context aware applications. This situation could be remedied by design and developing the appropriate context modeling and programming paradigm for context aware applications. In this paper, we are proposing the static context model and metrics for validating the expressiveness and understandability of the model. The proposed context modeling is a way of describing a situation of user using context entities , attributes and relationships .The model which is an extended and hybrid version of ER model, ontology model and Graphical model is specifically meant for expressing and understanding the user situation in context aware environment. The model is useful for understanding context aware problems, preparing documentation and designing programs and databases. The model makes use of context entity attributes relationship (CEAR) diagram for representation of association between the context entities and attributes. We have identified a new set of graphical notations for improving the expressiveness and understandability of context from the end user perspective .Keywords: user context, context entity, context entity attributes, situation, sensors, devices, relationships, actors, expressiveness, understandability
Procedia PDF Downloads 332675 The Impact of COVID-19 Pandemic on the Issue and Ideological Congruence of Trump and Bolsonaro Administrations
Authors: Flavio Contrera, Paulo Cesar Gregorio
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Recent political developments and government control actions in the face of the COVID-19 pandemic draw attention to the contrast between the duties of government and the demands of democratic representation. Elected by mobilizing far-right issues, Trump and Bolsonaro moved away from the WHO guidelines but had to accommodate demands on the health and on the social protection system on the one hand and demands from the economic sector on the other. This study used the MARPOR Project method to assess the impact of the COVID-19 pandemic on the issue and ideological congruence between the electoral and governmental arena in both the Trump and Bolsonaro Administrations. Findings reveal issue congruence between arenas in "National Way of Life: Positive", "Law and Order," and "Technology and Infrastructure" for Donald Trump, and "Welfare State Expansion" for Bolsonaro. Ideological estimation results show that Trump and Bolsonaro positioned to the right in their presidential elections, initially moved to the center-right. However, welfare policies actions at high frequency during the COVID-19 pandemic moved the ideological estimations of both governments to the center-left, despite their denial rhetoric.Keywords: congruence, COVID-19, Donald Trump, Jair Bolsonaro
Procedia PDF Downloads 220674 Multi-Objective Production Planning Problem: A Case Study of Certain and Uncertain Environment
Authors: Ahteshamul Haq, Srikant Gupta, Murshid Kamal, Irfan Ali
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This case study designs and builds a multi-objective production planning model for a hardware firm with certain & uncertain data. During the time of interaction with the manager of the firm, they indicate some of the parameters may be vague. This vagueness in the formulated model is handled by the concept of fuzzy set theory. Triangular & Trapezoidal fuzzy numbers are used to represent the uncertainty in the collected data. The fuzzy nature is de-fuzzified into the crisp form using well-known defuzzification method via graded mean integration representation method. The proposed model attempts to maximize the production of the firm, profit related to the manufactured items & minimize the carrying inventory costs in both certain & uncertain environment. The recommended optimal plan is determined via fuzzy programming approach, and the formulated models are solved by using optimizing software LINGO 16.0 for getting the optimal production plan. The proposed model yields an efficient compromise solution with the overall satisfaction of decision maker.Keywords: production planning problem, multi-objective optimization, fuzzy programming, fuzzy sets
Procedia PDF Downloads 199673 Application Methodology for the Generation of 3D Thermal Models Using UAV Photogrammety and Dual Sensors for Mining/Industrial Facilities Inspection
Authors: Javier Sedano-Cibrián, Julio Manuel de Luis-Ruiz, Rubén Pérez-Álvarez, Raúl Pereda-García, Beatriz Malagón-Picón
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Structural inspection activities are necessary to ensure the correct functioning of infrastructures. Unmanned Aerial Vehicle (UAV) techniques have become more popular than traditional techniques. Specifically, UAV Photogrammetry allows time and cost savings. The development of this technology has permitted the use of low-cost thermal sensors in UAVs. The representation of 3D thermal models with this type of equipment is in continuous evolution. The direct processing of thermal images usually leads to errors and inaccurate results. A methodology is proposed for the generation of 3D thermal models using dual sensors, which involves the application of visible Red-Blue-Green (RGB) and thermal images in parallel. Hence, the RGB images are used as the basis for the generation of the model geometry, and the thermal images are the source of the surface temperature information that is projected onto the model. Mining/industrial facilities representations that are obtained can be used for inspection activities.Keywords: aerial thermography, data processing, drone, low-cost, point cloud
Procedia PDF Downloads 134672 Discrete Group Search Optimizer for the Travelling Salesman Problem
Authors: Raed Alnajjar, Mohd Zakree, Ahmad Nazri
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In this study, we apply Discrete Group Search Optimizer (DGSO) for solving Traveling Salesman Problem (TSP). The DGSO is a nature inspired optimization algorithm that imitates the animal behavior, especially animal searching behavior. The proposed DGSO uses a vector representation and some discrete operators, such as destruction, construction, differential evolution, swap and insert. The TSP is a well-known hard combinatorial optimization problem, which seeks to find the shortest path among numbers of cities. The performance of the proposed DGSO is evaluated and tested on benchmark instances which listed in LIBTSP dataset. The experimental results show that the performance of the proposed DGSO is comparable with the other methods in the state of the art for some instances. The results show that DGSO outperform Ant Colony System (ACS) in some instances whilst outperform other metaheuristic in most instances. In addition to that, the new results obtained a number of optimal solutions and some best known results. DGSO was able to obtain feasible and good quality solution across all dataset. Procedia PDF Downloads 316671 Man-Nature relationship in Bishop’s Poetry: An Eco-Critical Reading of the Selected Poems
Authors: Khaled Abkar Alkodimi
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This paper attempts to explore Bishop’s eco-poetics and environmental consciousness from an ecocritical perspective. It focuses on her representations of animals, environments, and natural phenomena and the connection between a broad range of human activities and flora, fauna habitats. Indeed, Bishop shows a sense of human responsibility towards the earth in her peculiar treatment of place and livestock, which appears to be more than a static growth process. Her poetry is totally contrary to egoism and egotism, and this can be easily noticed in her subjective understanding of nature and creatures. The findings show Bishop as an eco-poet who committed herself and her poetry to highlight the significance of nature and world life at large. This is obvious through her representation of natural phenomena such as seasonal cycles, weather, and physical and ecological elements, including air, earth, and water, which essentially constitute and inform the poet’s environmental thoughts. Examining Bishop’s conception of a human relationship with ‘external nature through the examination of her poetic language, this study shows how the environmental imagination can suggest social responsibility to readers.Keywords: elizabeth bishop, eco-criticism, eco-poetry, environmental consciousness, man-nature relationship
Procedia PDF Downloads 179670 A Software Tool for Computer Forensic Investigation Using Client-Side Web History Visualization
Authors: Francisca Onaolapo Oladipo, Peter Afam Ugwu
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Records of user activities which are valuable for forensic investigation purposes are provided by web browsers -these records in most cases are not in visual formats that are easily understood, thereby requiring some extra processes. This paper describes the implementation of a software tool for client-side web history visualization providing suitable forensic evidence for investigative purposes. Visual C#, Perl and gnuplot were deployed on Windows Operating System (OS) environment to implement the system and the resulting tool parses and transforms a web browser history into a visual format that enables an investigator to quickly and efficiently explore, understand, and interpret the user online activities in the context of a specific investigation. The system was tested using two forensic cases: the client-side web history files generated by Mozilla Firefox browser was extracted using MozillaHistoryView utility, then parsed and visualized using bar and stacked column charts. From the visual representation, results of user web activities across various productive and non-productive websites were obtained.Keywords: history, forensics, visualization, web activities
Procedia PDF Downloads 287669 Rules in Policy Integration, Case Study: Victoria Catchment Management
Authors: Ratri Werdiningtyas, Yongping Wei, Andrew Western
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This paper contributes to on-going attempts at bringing together land, water and environmental policy in catchment management. A tension remains in defining the boundaries of policy integration. Most of Integrated Water Resource Management is valued as rhetoric policy. It is far from being achieved on the ground because the socio-ecological system has not been understood and developed into complete and coherent problem representation. To clarify the feature of integration, this article draws on institutional fit for public policy integration and uses these insights in an empirical setting to identify the mechanism that can facilitate effective public integration for catchment management. This research is based on the journey of Victoria’s government from 1890-2016. A total of 274 Victorian Acts related to land, water, environment management published in those periods has been investigated. Four conditions of integration have been identified in their co-evolution: (1) the integration policy based on reserves, (2) the integration policy based on authority interest, (3) policy based on integrated information and, (4) policy based coordinated resource, authority and information. Results suggest that policy coordination among their policy instrument is superior rather than policy integration in the case of catchment management.Keywords: catchment management, co-evolution, policy integration, phase
Procedia PDF Downloads 239668 Piezosurgery in Periodontics and Oral Implantology
Authors: Neelesh Papineni
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Aim: Piezosurgery is a relatively new technique for osteotomy and osteoplasty that uses ultrasonic vibration. The conventional method of treating periodontal cases are by conventional surgeries. However, in this advancing field the use of motor-driven instruments is being considered less invasive. Out of these motor-driven instruments, piezo-electric device has been introduced to the field of periodontics and oral implantology. This article discusses about the wide range of application of piezo-electric device in periodontology, its advantages over conventional surgical therapies and other motor-driven instruments. Results: Piezo- electric has shown better results in aspect of osteotomy, osteoplasty, implants, and any procedure which includes conserving the bone. Also piezo-electric does not cause any kind of damage to the surrounding soft tissue and eliminates the risk of bone necrosis which is a risk factor in other motor driven instruments. Conclusion: In this era of modern dentistry , a successful periodontal and implant surgery requires a sound osseous support. This review gives a pictorial representation about the wide range of application of piezo-electric device in periodontology.Keywords: piezo-electric, osteotomy, osteoplasty, implantology
Procedia PDF Downloads 367667 Structural Barriers to Voting among Young Voters: an Intersectional Approach
Authors: Ryo Sato
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The United States and many other countries witness alarmingly low voting rates among youths, skewing democratic representation. Many scholars and pundits have ascribed to this trend young voters' laziness, indifference, and self-centeredness and placed blame on them. However, a growing body of research is focusing on structural barriers to voting, which are defined as built-in obstacles lying in electoral laws and procedures. Drawing on national survey data from 891 young adults in 2020 and extant literature on structural barriers to voting, the project aims to develop a framework for analyzing systematic obstacles to voting experienced by young people and offer tangible policy recommendations. The preliminary findings presented at this conference include an intersectional analysis of the survey data, focusing on how different social categories — race, gender, socioeconomic status, immigration status, and others — in combination create unique voting experiences and barriers. This project offers a critical framework to combat the individualized understanding of low voting rates among youths and inform pathways to functional democracy.Keywords: youth voting behavior, structural barriers, intersectionality, democratic participation, S
Procedia PDF Downloads 49666 A Characterization of Skew Cyclic Code with Complementary Dual
Authors: Eusebio Jr. Lina, Ederlina Nocon
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Cyclic codes are a fundamental subclass of linear codes that enjoy a very interesting algebraic structure. The class of skew cyclic codes (or θ-cyclic codes) is a generalization of the notion of cyclic codes. This a very large class of linear codes which can be used to systematically search for codes with good properties. A linear code with complementary dual (LCD code) is a linear code C satisfying C ∩ C^⊥ = {0}. This subclass of linear codes provides an optimum linear coding solution for a two-user binary adder channel and plays an important role in countermeasures to passive and active side-channel analyses on embedded cryptosystems. This paper aims to identify LCD codes from the class of skew cyclic codes. Let F_q be a finite field of order q, and θ be an automorphism of F_q. Some conditions for a skew cyclic code to be LCD were given. To this end, the properties of a noncommutative skew polynomial ring F_q[x, θ] of automorphism type were revisited, and the algebraic structure of skew cyclic code using its skew polynomial representation was examined. Using the result that skew cyclic codes are left ideals of the ring F_q[x, θ]/〈x^n-1〉, a characterization of a skew cyclic LCD code of length n was derived. A necessary condition for a skew cyclic code to be LCD was also given.Keywords: LCD cyclic codes, skew cyclic LCD codes, skew cyclic complementary dual codes, theta-cyclic codes with complementary duals
Procedia PDF Downloads 336665 Mapping Crime against Women in India: Spatio-Temporal Analysis, 2001-2012
Authors: Ritvik Chauhan, Vijay Kumar Baraik
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Women are most vulnerable to crime despite occupying central position in shaping a society as the first teacher of children. In India too, having equal rights and constitutional safeguards, the incidences of crime against them are large and grave. In this context of crime against women, especially rape has been increasing over time. This paper explores the spatial and temporal aspects of crime against women in India with special reference to rape. It also examines the crime against women with its spatial, socio-economic and demographic associates using related data obtained from the National Crime Records Bureau India, Indian Census and other government sources of the Government of India. The simple statistical, choropleth mapping and other cartographic representation methods have been used to see the crime rates, spatio-temporal patterns of crime, and association of crime with its correlates. The major findings are visible spatial variations across the country and are also in the rising trends in terms of incidence and rates over the reference period. The study also indicates that the geographical associations are somewhat observed. However, selected indicators of socio-economic factors seem to have no significant bearing on crime against women at this level.Keywords: crime against women, crime mapping, trend analysis, society
Procedia PDF Downloads 320664 Structuring Paraphrases: The Impact Sentence Complexity Has on Key Leader Engagements
Authors: Meaghan Bowman
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Soldiers are taught about the importance of effective communication with repetition of the phrase, “Communication is key.” They receive training in preparing for, and carrying out, interactions between foreign and domestic leaders to gain crucial information about a mission. These interactions are known as Key Leader Engagements (KLEs). For the training of KLEs, doctrine mandates the skills needed to conduct these “engagements” such as how to: behave appropriately, identify key leaders, and employ effective strategies. Army officers in training learn how to confront leaders, what information to gain, and how to ask questions respectfully. Unfortunately, soldiers rarely learn how to formulate questions optimally. Since less complex questions are easier to understand, we hypothesize that semantic complexity affects content understanding, and that age and education levels may have an effect on one’s ability to form paraphrases and judge their quality. In this study, we looked at paraphrases of queries as well as judgments of both the paraphrases’ naturalness and their semantic similarity to the query. Queries were divided into three complexity categories based on the number of relations (the first number) and the number of knowledge graph edges (the second number). Two crowd-sourced tasks were completed by Amazon volunteer participants, also known as turkers, to answer the research questions: (i) Are more complex queries harder to paraphrase and judge and (ii) Do age and education level affect the ability to understand complex queries. We ran statistical tests as follows: MANOVA for query understanding and two-way ANOVA to understand the relationship between query complexity and education and age. A probe of the number of given-level queries selected for paraphrasing by crowd-sourced workers in seven age ranges yielded promising results. We found significant evidence that age plays a role and marginally significant evidence that education level plays a role. These preliminary tests, with output p-values of 0.0002 and 0.068, respectively, suggest the importance of content understanding in a communication skill set. This basic ability to communicate, which may differ by age and education, permits reproduction and quality assessment and is crucial in training soldiers for effective participation in KLEs.Keywords: engagement, key leader, paraphrasing, query complexity, understanding
Procedia PDF Downloads 154663 A Comparative Analysis on QRS Peak Detection Using BIOPAC and MATLAB Software
Authors: Chandra Mukherjee
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The present paper is a representation of the work done in the field of ECG signal analysis using MATLAB 7.1 Platform. An accurate and simple ECG feature extraction algorithm is presented in this paper and developed algorithm is validated using BIOPAC software. To detect the QRS peak, ECG signal is processed by following mentioned stages- First Derivative, Second Derivative and then squaring of that second derivative. Efficiency of developed algorithm is tested on ECG samples from different database and real time ECG signals acquired using BIOPAC system. Firstly we have lead wise specified threshold value the samples above that value is marked and in the original signal, where these marked samples face change of slope are spotted as R-peak. On the left and right side of the R-peak, faces change of slope identified as Q and S peak, respectively. Now the inbuilt Detection algorithm of BIOPAC software is performed on same output sample and both outputs are compared. ECG baseline modulation correction is done after detecting characteristics points. The efficiency of the algorithm is tested using some validation parameters like Sensitivity, Positive Predictivity and we got satisfied value of these parameters.Keywords: first derivative, variable threshold, slope reversal, baseline modulation correction
Procedia PDF Downloads 402662 3D Virtualization through Data Collected from Measurements of Mobile Signal Reception Power Levels (LTE) Band at Escuela Superior Politécnica de Chimborazo in Riobamba-Ecuador
Authors: Sandra Cuenca, Steven Chango, Fabian Chamba, Alexandra Vaca
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This project addresses a representation of a virtual environment based on the analysis of the RSRP (Reference Signal Received Power) obtained by the Network Cell Info Lite application at the Escuela Superior Politécnica de Chimborazo (ESPOCH) considering the open areas of the Business Administration Department in the 4G LTE Frequency (band 2) of Claro Telephony at a frequency of 1967. 5 MHz, where measurements were performed from 17:00 UTC-05:00. The indicators required for the simulation of the environment designed in sketchup were focused especially on the power levels obtained where it was possible to represent the scenario with real power values obtained in each concentric radius of a total of 3 campaigns of 200 samples each, where the values vary between 84.6 dBm to 115.5 dBm having average power values for each of the 23 radiuses which are introduced in a virtual environment, allowing users to immerse themselves in it, where they can explore 3D virtual environments, generating a color scale from 0 to 10 with red being the weakest signal and green the signal with the best intensity.Keywords: virtualization, LTE, radios, power intensity levels colors, mobile signal reception power
Procedia PDF Downloads 78661 Intelligent Computing with Bayesian Regularization Artificial Neural Networks for a Nonlinear System of COVID-19 Epidemic Model for Future Generation Disease Control
Authors: Tahir Nawaz Cheema, Dumitru Baleanu, Ali Raza
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In this research work, we design intelligent computing through Bayesian Regularization artificial neural networks (BRANNs) introduced to solve the mathematical modeling of infectious diseases (Covid-19). The dynamical transmission is due to the interaction of people and its mathematical representation based on the system's nonlinear differential equations. The generation of the dataset of the Covid-19 model is exploited by the power of the explicit Runge Kutta method for different countries of the world like India, Pakistan, Italy, and many more. The generated dataset is approximately used for training, testing, and validation processes for every frequent update in Bayesian Regularization backpropagation for numerical behavior of the dynamics of the Covid-19 model. The performance and effectiveness of designed methodology BRANNs are checked through mean squared error, error histograms, numerical solutions, absolute error, and regression analysis.Keywords: mathematical models, beysian regularization, bayesian-regularization backpropagation networks, regression analysis, numerical computing
Procedia PDF Downloads 133660 Towards a Distributed Computation Platform Tailored for Educational Process Discovery and Analysis
Authors: Awatef Hicheur Cairns, Billel Gueni, Hind Hafdi, Christian Joubert, Nasser Khelifa
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Given the ever changing needs of the job markets, education and training centers are increasingly held accountable for student success. Therefore, education and training centers have to focus on ways to streamline their offers and educational processes in order to achieve the highest level of quality in curriculum contents and managerial decisions. Educational process mining is an emerging field in the educational data mining (EDM) discipline, concerned with developing methods to discover, analyze and provide a visual representation of complete educational processes. In this paper, we present our distributed computation platform which allows different education centers and institutions to load their data and access to advanced data mining and process mining services. To achieve this, we present also a comparative study of the different clustering techniques developed in the context of process mining to partition efficiently educational traces. Our goal is to find the best strategy for distributing heavy analysis computations on many processing nodes of our platform.Keywords: educational process mining, distributed process mining, clustering, distributed platform, educational data mining, ProM
Procedia PDF Downloads 446659 Attention Deficit Hyperactivity Disorder and Criminality: A Psychological Profile of Convicts Serving Prison Sentences
Authors: Agnieszka Nowogrodzka
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Objectives: ADHD is a neurodevelopmental disorder in which symptoms are most prominent throughout childhood. In the longer term, these symptoms, as well as the behaviour of the child, the experiences arising from the response of the community to the child's symptoms, as well as the functioning of the community itself, all contribute to the onset of secondary symptoms and subsequent outcomes of the disorder, such as crime or mental disorders. The purpose of this study is to estimate the prevalence of ADHD among Polish convicts serving a prison sentence. To that end, the study will focus on the relationship between the severity of ADHD and early childhood trauma, family relations, maladaptive cognitive schemas, as well as mental disorders. It is an attempt to assess the interdependence between ADHD, childhood experiences, and secondary outcomes. Methods: The study enrolled two groups of first-time convicts and repeat offenders aged between 21 and 65 –each of the study groups comprised 120 participants; 240 participants in total took part in the study. Participants were recruited in semi-open penal institutions in Poland (Poznań Custody Suite, Wronki Penal Institution, Iława Penal Institution). The control group comprised 110 men without criminal records aged 21 to 65. The DIVA 5.0 questionnaire was employed to identify the severity of ADHD symptoms. Other questionnaires employed in the course of the study included the Childhood Trauma Questionnaire (CTQ), The Family Adaptability and Cohesion Scale IV (FACES-IV), Young Schema Questionnaire (YSQ), and the General Health Questionnaire (GHQ-30). Results: The findings of the study in question are currently still being compiled and will be shared during the conference. The findings of a pilot study involving two cohorts of convicts (each numbering 20 men) and a control group (20 men with no criminal records) indicate a significant correlation between ADHD and the experience of early childhood trauma. The severity of ADHD also shows a correlation with the assessment of the functioning of the family, with the subjects assessing the relationships in their families more negatively than the control group. Furthermore, the severity of ADHD is also correlated with maladaptive emotional schemas manifesting in the participants. The findings also show a correlation between selected dimensions and the severity of offenses.Keywords: ADHD, social impairments, mental disorders, early childhood traumas, criminality
Procedia PDF Downloads 76658 Woman: Her Identity and Strive for Existence Reflected English Literature
Authors: Diksha Kadam
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The study of images of women in literature and women writers has been a significant area of concern for the last four decades because it is as ‘the study of signification and meaning production’ play a vital role in shaping the perceptions and consciousness of various segment of society in relation to the lives, roles, problems and experiences of different categories of women as women and as autonomous citizen of society. In the history of worlds English literature the status of women and representation of her in the writings is an issue of discussion always. The essence of her existence in the literature is felt; the ecstasy of her feelings is always seen. The literature is full of facts and figures. She is one of them. Her contribution to the literature is undoubtedly a beginning of a new era. Multiple challenges and multiple identities as represented in majority of the literary texts and in real provide much hope and assurance to the new generation of mothers and daughters in the direction of transformation of the individual and collective consciousness of society paving way for the emergence of an actually empowered new woman. This paper will focus on some of the prominent Indian and American women writers in English literature and the various dimensions of her image through some of the prominent works. This attempt of mine will be merely a salute to those women who have struggled to prove their identity as one of the members of society.Keywords: role of women’s writing, new era, contribution to the literature, consciousness, existence
Procedia PDF Downloads 393