Search results for: outer-connected dom- ination number
6495 Women's Pathways to Prison in Thailand
Authors: Samantha Jeffries, Chontit Chuenurah
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Thailand incarcerates the largest number of women and has the highest female incarceration rate in South East Asia. Since the 1990s, there has been a substantial increase in the number, rate and proportion of women imprisoned. Thailand places a high priority on the gender specific contexts out of which offending arises and the different needs of women in the criminal justice system. This is manifested in work undertaken to guide the development of the United Nations Rules for the Treatment of Women Prisoners and Non-Custodial Measures for Women Offenders (the Bangkok Rules); adopted by the United Nations General Assembly in 2010. The Bangkok Rules make a strong statement about Thailand’s recognition of and commitment to the fair and equitable treatment of women throughout their contact with the criminal justice system including at sentencing and in prison. This makes the comparatively high use of imprisonment for women in Thailand particularly concerning and raises questions about the relationship between gender, crime and criminal justice. While there is an extensive body of research in Western jurisdictions exploring women’s pathways to prison, there is a relative dearth of methodologically robust research examining the possible gendered circumstances leading to imprisonment in Thailand. In this presentation, we will report preliminary findings from a qualitative study of women’s pathways to prison in Thailand. Our research aims were to ascertain: 1) the type, frequency, and context of criminal behavior that led to women’s incarceration, 2) women’s experiences of the criminal justice system, 3) the broader life experiences and circumstances that led women to prison in Thailand. In-depth life history interviews (n=77) were utilized to gain a comprehensive understanding of women’s journeys into prison. The interview schedule was open-ended consisting of prisoner responses to broad discussion topics. This approach provided women with the opportunity to describe significant experiences in their lives, to bring together distinct chronologies of events, and to analyze links between their varied life experiences, offending, and incarceration. Analyses showed that women’s journey’s to prison take one of eight pathways which tentatively labelled as follows, the: 1) harmed and harming pathway, 2) domestic/family violence victimization pathway, 3) drug connected pathway, 4) street woman pathway, 5) economically motivated pathway, 6) jealousy anger and/or revenge pathway, 7) naivety pathway, 8) unjust and/or corrupted criminal justice pathway. Each will be fully discussed during the presentation. This research is significant because it is the first in-depth methodologically robust exploration of women’s journeys to prison in Thailand and one of a few studies to explore gendered pathways outside of western contexts. Understanding women’s pathways into Thailand’s prisons is crucial to the development of effective planning, policy and program responses not only while women are in prison but also post-release. To best meet women’s needs in prison and effectively support their reintegration, we must have a comprehensive understanding of who these women are, what offenses they commit, the reasons that trigger their confrontations with the criminal justice system and the impact of the criminal justice system on them.Keywords: pathways, prison, women, Thailand
Procedia PDF Downloads 2386494 Network Functions Virtualization-Based Virtual Routing Function Deployment under Network Delay Constraints
Authors: Kenichiro Hida, Shin-Ichi Kuribayashi
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NFV-based network implements a variety of network functions with software on general-purpose servers, and this allows the network operator to select any capabilities and locations of network functions without any physical constraints. In this paper, we evaluate the influence of the maximum tolerable network delay on the virtual routing function deployment guidelines which the authors proposed previously. Our evaluation results have revealed the following: (1) the more the maximum tolerable network delay condition becomes severe, the more the number of areas where the route selection function is installed increases and the total network cost increases, (2) the higher the routing function cost relative to the circuit bandwidth cost, the increase ratio of total network cost becomes larger according to the maximum tolerable network delay condition.Keywords: NFV (Network Functions Virtualization), resource allocation, virtual routing function, minimum total network cost
Procedia PDF Downloads 2416493 Effect of Nitrogen and Gibberellic Acid at Different Level and their Interaction on Calendula
Authors: Pragnyashree Mishra, Shradhanjali Mohapatra
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The present investigation is carried out to know the effect of foliar feeding of nitrogen and gibberellic acid on vegetative growth, flowering behaviour and yield of calendula variety ‘Golden Emporer’. The experiment was laid out in RBD in rabi season of 2013-14. There are 16 treatments are taken at different level such as nitrogen (at 0%,1%,2%,3%) and GA3 (at 50 ppm,100ppm,150 ppm). Among them maximum height at bud initiation stage was obtained at 3% nitrogen (27.00 cm) and at 150 ppm GA3 (26.5 cm), fist flowering was obtained at 3% nitrogen(60.00 days) and at 150 ppm GA3 (63.75 days), maximum flower stalk length was obtained at 3% nitrogen(3.50 cm) and at 150 ppm GA3 (5.42 cm),maximum duration of flowering was obtained at 3% nitrogen(46.00 days) and at 150 ppm GA3 (46.50days), maximum number of flower was obtained at 3% nitrogen (89.00per plant) and at 150 ppm GA3 (83.50 per plant), maximum flower weight was obtained at 3% nitrogen(1.25 gm per flower) and at 150 ppm GA3 (1.50 gm per flower), maximum yield was was obtained at 3% nitrogen (110.00 gm per plant) and at 150 ppm GA3 (105.00gm per plant) and minimum of all character was obtained when 0% nitrogen0 ppm GA3. All interaction between nitrogen and GA3 was found in significant except the yield .Keywords: calendula, golden emporer, GA3, nitrogen and gibberellic acid
Procedia PDF Downloads 4566492 Analysis and Prediction of Netflix Viewing History Using Netflixlatte as an Enriched Real Data Pool
Authors: Amir Mabhout, Toktam Ghafarian, Amirhossein Farzin, Zahra Makki, Sajjad Alizadeh, Amirhossein Ghavi
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The high number of Netflix subscribers makes it attractive for data scientists to extract valuable knowledge from the viewers' behavioural analyses. This paper presents a set of statistical insights into viewers' viewing history. After that, a deep learning model is used to predict the future watching behaviour of the users based on previous watching history within the Netflixlatte data pool. Netflixlatte in an aggregated and anonymized data pool of 320 Netflix viewers with a length 250 000 data points recorded between 2008-2022. We observe insightful correlations between the distribution of viewing time and the COVID-19 pandemic outbreak. The presented deep learning model predicts future movie and TV series viewing habits with an average loss of 0.175.Keywords: data analysis, deep learning, LSTM neural network, netflix
Procedia PDF Downloads 2316491 A Mutually Exclusive Task Generation Method Based on Data Augmentation
Authors: Haojie Wang, Xun Li, Rui Yin
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In order to solve the memorization overfitting in the meta-learning MAML algorithm, a method of generating mutually exclusive tasks based on data augmentation is proposed. This method generates a mutex task by corresponding one feature of the data to multiple labels, so that the generated mutex task is inconsistent with the data distribution in the initial dataset. Because generating mutex tasks for all data will produce a large number of invalid data and, in the worst case, lead to exponential growth of computation, this paper also proposes a key data extraction method, that only extracts part of the data to generate the mutex task. The experiments show that the method of generating mutually exclusive tasks can effectively solve the memorization overfitting in the meta-learning MAML algorithm.Keywords: data augmentation, mutex task generation, meta-learning, text classification.
Procedia PDF Downloads 896490 Networked Radar System to Increase Safety of Urban Railroad Crossing
Authors: Sergio Saponara, Luca Fanucci, Riccardo Cassettari, Ruggero Piernicola, Marco Righetto
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The paper presents an innovative networked radar system for detection of obstacles in a railway level crossing scenario. This Monitoring System (MS) is able to detect moving or still obstacles within the railway level crossing area automatically, avoiding the need of human presence for surveillance. The MS is also connected to the National Railway Information and Signaling System to communicate in real-time the level crossing status. The architecture is compliant with the highest Safety Integrity Level (SIL4) of the CENELEC standard. The number of radar sensors used is configurable at set-up time and depends on how large the level crossing area can be. At least two sensors are expected and up four can be used for larger areas. The whole processing chain that elaborates the output sensor signals, as well as the communication interface, is fully-digital, was designed in VHDL code and implemented onto a Xilinx Virtex 6.Keywords: radar for safe mobility, railroad crossing, railway, transport safety
Procedia PDF Downloads 4756489 Study of Cavitation Erosion of Pump-Storage Hydro Power Plant Prototype
Authors: Tine Cencič, Marko Hočevar, Brane Širok
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An experimental investigation has been made to detect cavitation in pump–storage hydro power plant prototype suffering from cavitation in pump mode. Vibrations and acoustic emission on the housing of turbine bearing and pressure fluctuations in the draft tube were measured and the corresponding signals have been recorded and analyzed. The analysis was based on the analysis of high-frequency content of measured variables. The pump-storage hydro power plant prototype has been operated at various input loads and Thoma numbers. Several estimators of cavitation were evaluated according to coefficient of determination between Thoma number and cavitation estimators. The best results were achieved with a compound discharge coefficient cavitation estimator. Cavitation estimators were evaluated in several intervals of frequencies. Also, a prediction of cavitation erosion was made in order to choose the appropriate maintenance and repair periods.Keywords: cavitation erosion, turbine, cavitation measurement, fluid dynamics
Procedia PDF Downloads 4066488 Birds of a Feather Flock Together: Exploring Effects of Internet Celebrity Endorsement in Advertising
Authors: Shiu-Wan Hung, Che-Wei Chang, Han-Yu Lin
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Internet celebrities possess high visibility and a great number of fans on the Internet and are the targets that various companies are keen to collaborate with. This study investigated the para-social interaction and its antecedents among internet celebrities and their fans. The effects of Internet celebrity advertising from the perspectives of source credibility and endorser suitability were studied. This study gathered 283 valid questionnaires from people who regularly follow internet celebrities for analysis. The experimental results suggest that expertise has the most significant and direct influence on advertising. Additionally, Internet celebrities with high attractiveness can better influence the thinking of their fans and enhance homophily. However, when considering the construction of source credibility, the direct influence of attractiveness is the least significant, suggesting that the attractiveness of internet celebrities can only promote advertising via the mediating effect of homophily.Keywords: celebrity, para-social interaction, homophily, source credibility
Procedia PDF Downloads 696487 A High Performance Piano Note Recognition Scheme via Precise Onset Detection and Segmented Short-Time Fourier Transform
Authors: Sonali Banrjee, Swarup Kumar Mitra, Aritra Acharyya
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A piano note recognition method has been proposed by the authors in this paper. The authors have used a comprehensive method for onset detection of each note present in a piano piece followed by segmented short-time Fourier transform (STFT) for the identification of piano notes. The performance evaluation of the proposed method has been carried out in different harsh noisy environments by adding different levels of additive white Gaussian noise (AWGN) having different signal-to-noise ratio (SNR) in the original signal and evaluating the note detection error rate (NDER) of different piano pieces consisting of different number of notes at different SNR levels. The NDER is found to be remained within 15% for all piano pieces under consideration when the SNR is kept above 8 dB.Keywords: AWGN, onset detection, piano note, STFT
Procedia PDF Downloads 1566486 Linear Array Geometry Synthesis with Minimum Sidelobe Level and Null Control Using Taguchi Method
Authors: Amara Prakasa Rao, N. V. S. N. Sarma
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This paper describes the synthesis of linear array geometry with minimum sidelobe level and null control using the Taguchi method. Based on the concept of the orthogonal array, Taguchi method effectively reduces the number of tests required in an optimization process. Taguchi method has been successfully applied in many fields such as mechanical, chemical engineering, power electronics, etc. Compared to other evolutionary methods such as genetic algorithms, simulated annealing and particle swarm optimization, the Taguchi method is much easier to understand and implement. It requires less computational/iteration processing to optimize the problem. Different cases are considered to illustrate the performance of this technique. Simulation results show that this method outperforms the other evolution algorithms (like GA, PSO) for smart antenna systems design.Keywords: array factor, beamforming, null placement, optimization method, orthogonal array, Taguchi method, smart antenna system
Procedia PDF Downloads 3816485 Sustainable Development Goals: The Effect of a Board Structure on the Sustainability Performance
Authors: V. Naciti, L. Pulejo, F. Cesaroni
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This study empirically analyzes whether the composition of the board of directors (BoD) enhances sustainability performance, in order to understand how the BoD contribute to the integration of Sustainable Development Goals (SDGs) in their businesses. Hypotheses are developed based on the agency theory and stakeholder theory. Using a system generalized method of the moment (SGMM) two-step estimator, with data from Sustainalytics and Compustat databases for 362 firms in six regions, we find that firms with more diversity on the board and a separation of chair and CEO roles have higher sustainability performance. Moreover, our findings provide that a higher number of independent directors is negatively associated with sustainability performance. This study contributes to the literature on corporate governance and the firm’s performance by demonstrating that the composition of the board of directors contributes to a better sustainability performance: by the implementation of a particular corporate governance mechanism, it is possible to integrate SDGs in the corporate strategy.Keywords: sustainable development goals, corporate governance, board of directors, sustainability performance
Procedia PDF Downloads 1736484 Trends in Arabic Drama Series (Musalsalat) Production
Authors: Paradigm Shift
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In an overwhelmingly import oriented content bazaar of Arabian TV industry, Musalsalat stand unique in their indigenousness and mass popularity, being rivalled only by movies and football. The Arabic term ‘Musalsalat’ stands for drama series with episodes of 30-45 minutes duration; the format being close to Latin American Telenovela concept-clear cut stories with definitive endings that permit narrative closures. Traditionally Musalsalat were either situational comedies or religiously inspired. Present-day productions have started addressing historical, creative and socially progressive issues targeting the young and well-travelled audiences. Though these soaps get prime ratings throughout the year, it is during Ramadan, that they become a raving success in securing viewership. That Musalsalat have become paramount Ramadan programming is evident by their dominance on the grid and attracting heavy ad-spend. The number of Musalsalats produced specifically for Ramadan reached over 100 last year with Ramadan TV advertising amounting to USD1, 947bn constituting 21% of the total regional TV Adspend of USD 9,189bn.Keywords: Musalsalat, drama, pan Arab, television
Procedia PDF Downloads 2776483 Evaluation of Different Inoculation Methods of Entomopathogenic Fungi on Their Endophytism and Pathogenicity against Chilo partellus (Swinhoe)
Authors: Mubashar Iqbal, Iqra Anjum, Muhammad Dildar Gogi, Muhammad Jalal Arif
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The present study was carried to screen out the effective entomopathogenic fungi (EPF) inoculation method in maize and to evaluate pathogenicity and oviposition-choice in C. partellus. Three entomopathogenic fungi (EPF) formulations Pacer® (Metarhizium anisopliae), Racer® (Beauveria bassiana) and Meailkil® (Verticillium lecanii) were evaluated at three concentrations (5000, 10000 and 20000 ppm) for their endophytism in maize and pathogenicity in C. partellus. The stock solution of the highest concentration (20,000 ppm) was prepared and next lower from stock solution. In the first experiment, three EPF was inoculated in maize plant by four methods, i.e., leaf-inoculation (LI), whorl-inoculation (WI), shoot-inoculation (SI) and root-inoculation (RI). Leaf-discs and stem-cutting were sampled in all four inoculation methods and placed on fungus growth media in Petri dishes. In the second experiment, pathogenicity, pupal formation, adult emergence, sex ratio, oviposition-choice, and growth index of C. partellus were calculated. The leaves and stem of the inoculated plants were given to the counted number of larvae of C. Partellus. The mortality of larvae was recorded on daily basis till the pupation. The result shows that maximum percent mortality (86.67%) was recorded at high concentration (20000ppm) of Beauveria bassiana by leaf inoculation method. For oviposition choice bioassay, the newly emerged adults were fed on diet (water, honey and yeast in 9:1:1) for 48 hours. One pair of C. Partellus were aspirated from the rearing cages and were detained in large test tube plugged with diet soaked cotton. A set of four plants for each treatment were prepared and randomized inside the large oviposition chamber. The test tubes were opened and fitted in the hole made in the wall of oviposition chamber in front of each treatment. The oviposition chamber was placed in a completely dark laboratory to eliminate the effect of light on moth’s behavior. The plants were removed from the oviposition chamber after the death of adults. The number of eggs deposited on the plant was counted. The results of 2nd experiment revealed that in all EPF and inoculation methods, the fecundity, egg fertility and growth index of C. partellus decreased with the increase in concentration being significantly higher at low concentration (5000ppm) and lower at higher concentration (20000ppm). Application of B. bassiana demonstrated that minimum fecundity (126.83), egg fertility (119.52) and growth index (15%) in C. partellus followed by M. anisopliae with fecundity (135.93), egg fertility (132.29) and growth index (17.50%) while V. lecanii show higher values of fecundity (137.37), egg fertility (1135.42) and growth index (20%). Overall leaf inoculation method showed least fecundity (123.89) with egg fertility (115.36) and growth index (14%) followed by whorl, shoot inoculation method and root inoculation method show higher values of fecundity, egg fertility and growth index.Keywords: Beauveria bassiana, Chilo partellus, entomopathoganic, Metarhizium anisopliae, Verticillium lecanii
Procedia PDF Downloads 1306482 A Research About to Determination the Quality of Feed Oils Used as Mixedfeed Raw Material from Some Feed Factories in Konya-Turkey
Authors: Gülşah Kanbur, Veysel Ayhan
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Feed oil samples which are used as mixed feed raw material were taken from six different feed factories in March, May and July. All factories make production in Konya, Turkey and all of the samples were which taken are crude soybean oil. Some physical and chemical analysis, free radical scavenger effect and total phenol content were determined on these oil samples. Moisture content was found between 0.10-22.23 %, saponification number was determined 143.13 to 167.93 KOH/kg, free fatty acidity was varied 0.73 to 35.00 % , peroxide value was found between 1.53 and 28.43 meq/kg , unsaponifiable matter was determined from 0.40 to 17.10 % , viscosity was found between 34.30 and 625.67 mPas, sediment amount was determined between 0.60-18.16 % , free radical scavenger effect was varied 20.7 to 43.04 % inhibition of the extract and total phenol content was found between 1.20 and 2.69 mg/L extract. Different results were found between months and factories.Keywords: crude soybean oil, feed oils, mixed feed, Konya
Procedia PDF Downloads 3066481 Interaction of Low-Energy Positrons with Mg Atoms: Elastic Scattering, Bound States, and Annihilation
Authors: Mahasen M. Abdel Mageed, H. S. Zaghloul
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Annihilations, phase shifts, scattering lengths, and elastic cross sections of low energy positrons scattering from magnesium atoms were studied using the least-squares variational method (LSVM). The possibility of positron binding to the magnesium atoms is investigated. A trial wavefunction is suggested to represent e+-Mg elastic scattering and scattering parameters were derived to estimate the binding energy and annihilation rates. The trial function is taken to depend on several adjustable parameters and is improved iteratively by increasing the number of terms. The present results have the same behavior as reported semi-empirical, theoretical, and experimental results. Especially, the estimated positive scattering length supports the possibility of positron-magnesium bound state system that was confirmed in previous experimental and theoretical work.Keywords: bound wavefunction, positron annihilation, scattering phase shift, scattering length
Procedia PDF Downloads 5416480 Gene Names Identity Recognition Using Siamese Network for Biomedical Publications
Authors: Micheal Olaolu Arowolo, Muhammad Azam, Fei He, Mihail Popescu, Dong Xu
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As the quantity of biological articles rises, so does the number of biological route figures. Each route figure shows gene names and relationships. Annotating pathway diagrams manually is time-consuming. Advanced image understanding models could speed up curation, but they must be more precise. There is rich information in biological pathway figures. The first step to performing image understanding of these figures is to recognize gene names automatically. Classical optical character recognition methods have been employed for gene name recognition, but they are not optimized for literature mining data. This study devised a method to recognize an image bounding box of gene name as a photo using deep Siamese neural network models to outperform the existing methods using ResNet, DenseNet and Inception architectures, the results obtained about 84% accuracy.Keywords: biological pathway, gene identification, object detection, Siamese network
Procedia PDF Downloads 2766479 Factors Impacting Shopping Behavior for Luxury Fashion Brands: A Case of National Capital Region in India
Authors: Manoj Kumar, Preeti Goel
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National Capital Region of India is one of the most populous urban agglomerations in the world. This region has residents from all the parts of India, and their shopping behaviors are quite different. The region also has the substantial population of people from other countries. Due to high purchasing power of a large number of people, NCR is one the major markets for luxury fashion brands. Marketers of luxury fashion brands keep on adding innovative features to their products to attract the buyers. This research is an attempt to understand the major factors which impact the brand selection for these brands and other buying decisions like purchasing time and location. The research is based on primary data collected from potential buyers of luxury fashion brands and the people involved in the marketing of these brands in various roles. The research has tried to identify the relative strength of various factors on the shopping behavior for these brands.Keywords: luxury brands, fashion, shopping, National Capital Region (NCR)
Procedia PDF Downloads 4036478 Spatial Econometric Approaches for Count Data: An Overview and New Directions
Authors: Paula Simões, Isabel Natário
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This paper reviews a number of theoretical aspects for implementing an explicit spatial perspective in econometrics for modelling non-continuous data, in general, and count data, in particular. It provides an overview of the several spatial econometric approaches that are available to model data that are collected with reference to location in space, from the classical spatial econometrics approaches to the recent developments on spatial econometrics to model count data, in a Bayesian hierarchical setting. Considerable attention is paid to the inferential framework, necessary for structural consistent spatial econometric count models, incorporating spatial lag autocorrelation, to the corresponding estimation and testing procedures for different assumptions, to the constrains and implications embedded in the various specifications in the literature. This review combines insights from the classical spatial econometrics literature as well as from hierarchical modeling and analysis of spatial data, in order to look for new possible directions on the processing of count data, in a spatial hierarchical Bayesian econometric context.Keywords: spatial data analysis, spatial econometrics, Bayesian hierarchical models, count data
Procedia PDF Downloads 5846477 Genetic Divergence of Life History Traits in Indian Populations of Drosophila bipectinata
Authors: Manvender Singh
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Temperature is one of the most important climatic parameter for explaining the geographic distribution of ectothermic species. Empirical investigations on norms of the reaction according to developmental temperatures are helpful in analyzing the adapture capacity of a species which may be related to its ecological niche. In the present investigation, we have compared the effects of developmental temperatures on fecundity, hatchability, viability, and duration of development in five natural populations of Drosophila bipectinata along the latitudinal range. The clinal patterns for fecundity, as well as ovariole number, were observed which showed significant positive correlation (r=0.97). Similarly, hatchability and duration of development also revealed a positive correlation with latitude. Hence, suggesting the role of natural selection in maintaining the genetic divergence for life history traits along the north-south transect of the Indian Subcontinent.Keywords: growth temperature, fecundity, hatchability, viability, duration of development, Drosophila
Procedia PDF Downloads 2356476 Causes and Effects of Delays in Construction Projects in Akure, Ondo State, South-West Nigeria
Authors: K.T Alade, A.F Lawal, A.A Omonori
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Construction is an everlasting activity across the globe. Likewise, the problem of delay in the construction industry is a global phenomenon. Although there are several reasons that may be responsible for delay during construction, this may vary from place to place and can be reduced to the minimum when identified. This study considered the major causes and effects of delay in the execution of construction projects in Akure, Ondo State, Nigeria. Using literatures, a total number of 30 causes of construction delays were identified. The convenient sampling technique was used to select sixty respondents for a survey. The respondents comprise twenty-two (22) clients, eighteen consultants (18) and twenty (20) contractors. The analyses of the primary data revealed that the three most important causes of delay in construction projects in Akure, Ondo State Nigeria are poor site management and supervision, inadequate contractors experience and client’s financial difficulties. Based on the findings of this study, recommendations were given on how the causes and effects of delay in construction can be mitigated.Keywords: Akure, causes, construction projects, delay, effects
Procedia PDF Downloads 5016475 Dynamic Model of Automatic Loom on SimulationX
Authors: A. Jomartov, A. Tuleshov, B. Tultaev
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One of the main tasks in the development of textile machinery is to increase the rapidity of automatic looms, and consequently, their productivity. With increasing automatic loom speeds, the dynamic loads on their separate mechanisms and moving joints sharply increase. Dynamic research allows us to determine the weakest mechanisms of the automatic loom. The modern automatic loom consists of a large number of structurally different mechanisms. These are cam, lever, gear, friction and combined cyclic mechanisms. The modern automatic loom contains various mechatronic devices: A device for the automatic removal of faulty weft, electromechanical drive warp yarns, electronic controllers, servos, etc. In the paper, we consider the multibody dynamic model of the automatic loom on the software complex SimulationX. SimulationX is multidisciplinary software for modeling complex physical and technical facilities and systems. The multibody dynamic model of the automatic loom allows consideration of: The transition processes, backlash at the joints and nodes, the force of resistance and electric motor performance.Keywords: automatic loom, dynamics, model, multibody, SimulationX
Procedia PDF Downloads 3386474 The Application of Bayesian Heuristic for Scheduling in Real-Time Private Clouds
Authors: Sahar Sohrabi
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The emergence of Cloud data centers has revolutionized the IT industry. Private Clouds in specific provide Cloud services for certain group of customers/businesses. In a real-time private Cloud each task that is given to the system has a deadline that desirably should not be violated. Scheduling tasks in a real-time private CLoud determine the way available resources in the system are shared among incoming tasks. The aim of the scheduling policy is to optimize the system outcome which for a real-time private Cloud can include: energy consumption, deadline violation, execution time and the number of host switches. Different scheduling policies can be used for scheduling. Each lead to a sub-optimal outcome in a certain settings of the system. A Bayesian Scheduling strategy is proposed for scheduling to further improve the system outcome. The Bayesian strategy showed to outperform all selected policies. It also has the flexibility in dealing with complex pattern of incoming task and has the ability to adapt.Keywords: cloud computing, scheduling, real-time private cloud, bayesian
Procedia PDF Downloads 3516473 The Reception of the Notion of Soul as Vis Representativa in Kant’s Pre-critical Philosophy
Authors: Simone D'Armi
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The notion of the representational soul is widely discussed within the German metaphysical landscape of the 18th century. The enunciation of the notion implies, within the 18th-century German rationalism, a number of generally accepted metaphysical notions. However, in the pre-critical writings of Immanuel Kant, it is possible to identify a critical stance towards this notion. The paper thematizes two central aspects: on the one hand, it discusses the notion of the vis of the representative soul, and on the other, it addresses the question of the fundamental forces ( Grundkraefte) of the soul. The aim of the present paper is to show how Kant, in the Nova Dilucidatio and in his Lectures on Metaphysics, probably delivered in the mid-1770s, despite the Wolffian terminology he employed in the field of psychology, criticizes the central aspects connected with the notion of the soul as a representative force. Beginning with a critical analysis of the relationship between Kantian ideas and those of some key exponents of German metaphysical rationalism, it emerges how the Kantian position stands as an alternative to its own historical context.Keywords: German metaphysics, soul, power, pre-critical philosophy
Procedia PDF Downloads 566472 Exploring the Interplay Between Emotions, Employee’s Social Cognition and Decision Making Among Employees
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The study aims to investigate the relationship between emotions and employee's social cognition and decision-making among employees. The sample of the study was the total number of participants, which included employees from various industries and job positions. Research papers in the same area were reviewed, providing a comprehensive review of existing literature and theoretical frameworks and shedding light on the interpersonal effects of emotions in the workplace. It emphasizes how one worker's emotions can significantly impact the overall work environment and productivity as well as the work of a common phenomenon known as Emotional contagion at the workplace, affecting social interactions and group dynamics. Therefore, this study concludes that Emotional contagion can lead to a ripple effect within the workplace, influencing the overall atmosphere and productivity. Emotions can shape how employees process information and make choices, ultimately impacting organizational outcomes.Keywords: employee decision making, social cognition, emotions, industry, emotional contagion, workplace dynamics
Procedia PDF Downloads 526471 X-Corner Detection for Camera Calibration Using Saddle Points
Authors: Abdulrahman S. Alturki, John S. Loomis
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This paper discusses a corner detection algorithm for camera calibration. Calibration is a necessary step in many computer vision and image processing applications. Robust corner detection for an image of a checkerboard is required to determine intrinsic and extrinsic parameters. In this paper, an algorithm for fully automatic and robust X-corner detection is presented. Checkerboard corner points are automatically found in each image without user interaction or any prior information regarding the number of rows or columns. The approach represents each X-corner with a quadratic fitting function. Using the fact that the X-corners are saddle points, the coefficients in the fitting function are used to identify each corner location. The automation of this process greatly simplifies calibration. Our method is robust against noise and different camera orientations. Experimental analysis shows the accuracy of our method using actual images acquired at different camera locations and orientations.Keywords: camera calibration, corner detector, edge detector, saddle points
Procedia PDF Downloads 4026470 Design of Ultra-Light and Ultra-Stiff Lattice Structure for Performance Improvement of Robotic Knee Exoskeleton
Authors: Bing Chen, Xiang Ni, Eric Li
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With the population ageing, the number of patients suffering from chronic diseases is increasing, among which stroke is a high incidence for the elderly. In addition, there is a gradual increase in the number of patients with orthopedic or neurological conditions such as spinal cord injuries, nerve injuries, and other knee injuries. These diseases are chronic, with high recurrence and complications, and normal walking is difficult for such patients. Nowadays, robotic knee exoskeletons have been developed for individuals with knee impairments. However, the currently available robotic knee exoskeletons are generally developed with heavyweight, which makes the patients uncomfortable to wear, prone to wearing fatigue, shortening the wearing time, and reducing the efficiency of exoskeletons. Some lightweight materials, such as carbon fiber and titanium alloy, have been used for the development of robotic knee exoskeletons. However, this increases the cost of the exoskeletons. This paper illustrates the design of a new ultra-light and ultra-stiff truss type of lattice structure. The lattice structures are arranged in a fan shape, which can fit well with circular arc surfaces such as circular holes, and it can be utilized in the design of rods, brackets, and other parts of a robotic knee exoskeleton to reduce the weight. The metamaterial is formed by continuous arrangement and combination of small truss structure unit cells, which changes the diameter of the pillar section, geometrical size, and relative density of each unit cell. It can be made quickly through additive manufacturing techniques such as metal 3D printing. The unit cell of the truss structure is small, and the machined parts of the robotic knee exoskeleton, such as connectors, rods, and bearing brackets, can be filled and replaced by gradient arrangement and non-uniform distribution. Under the condition of satisfying the mechanical properties of the robotic knee exoskeleton, the weight of the exoskeleton is reduced, and hence, the patient’s wearing fatigue is relaxed, and the wearing time of the exoskeleton is increased. Thus, the efficiency and wearing comfort, and safety of the exoskeleton can be improved. In this paper, a brief description of the hardware design of the prototype of the robotic knee exoskeleton is first presented. Next, the design of the ultra-light and ultra-stiff truss type of lattice structures is proposed, and the mechanical analysis of the single-cell unit is performed by establishing the theoretical model. Additionally, simulations are performed to evaluate the maximum stress-bearing capacity and compressive performance of the uniform arrangement and gradient arrangement of the cells. Finally, the static analysis is performed for the cell-filled rod and the unmodified rod, respectively, and the simulation results demonstrate the effectiveness and feasibility of the designed ultra-light and ultra-stiff truss type of lattice structures. In future studies, experiments will be conducted to further evaluate the performance of the designed lattice structures.Keywords: additive manufacturing, lattice structures, metamaterial, robotic knee exoskeleton
Procedia PDF Downloads 1006469 Analysis of the Fair Distribution of Urban Facilities in Kabul City by Population Modeling
Authors: Ansari Mohammad Reza, Hiroko Ono
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In this study, we investigated how much of the urban facilities are fairly distributing in the city of Kabul based on the factor of population. To find the answer to this question we simulated a fair model for the distribution of investigated facilities in the city which is proposed based on the consideration of two factors; the number of users for each facility and the average distance of reach of each facility. Then the model was evaluated to make sure about its efficiency. And finally, the two—the existing pattern and the simulation model—were compared to find the degree of bias in the existing pattern of distribution of facilities in the city. The result of the study clearly clarified that the facilities are not fairly distributed in Kabul city based on the factor of population. Our analysis also revealed that the education services and the parks are the most and the worst fair distributed facilities in this regard.Keywords: Afghanistan, ArcGIS Software, Kabul City, fair distribution, urban facilities
Procedia PDF Downloads 1696468 From the Recursive Definition of Refutability to the Invalidity of Gödel’s 1931 Incompleteness
Authors: Paola Cattabriga
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According to Gödel’s first incompleteness argument it is possible to construct a formally undecidable proposition in Principia mathematica, a statement that, although true, turns out to be neither provable nor refutable for the system, making therefore incomplete any formal system suitable for the arithmetic of integers. Its features and limitation effects are today widespread basics throughout whole scientific thought. This article brings Gödel’s achievement into question by the definition of the refutability predicate as a number-theoretical statement. We develop proof of invalidity of Theorem VI in Gödel’s 1931, the so-called Gödel’s first incompleteness theorem, in two steps: defining refutability within the same recursive status as provability and showing that as a consequence propositions (15) and (16), derived from definition 8.1 in Gödel’s 1931, are false and unacceptable for the system. The achievement of their falsity blocks the derivation of Theorem VI, which turns out to be therefore invalid, together with all the depending theorems. This article opens up thus new perspectives for mathematical research and for the overall scientific reasoning.Keywords: Gödel numbering, incompleteness, provability predicate, refutability predicate
Procedia PDF Downloads 1846467 Machine Learning Approach for Anomaly Detection in the Simulated Iec-60870-5-104 Traffic
Authors: Stepan Grebeniuk, Ersi Hodo, Henri Ruotsalainen, Paul Tavolato
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Substation security plays an important role in the power delivery system. During the past years, there has been an increase in number of attacks on automation networks of the substations. In spite of that, there hasn’t been enough focus dedicated to the protection of such networks. Aiming to design a specialized anomaly detection system based on machine learning, in this paper we will discuss the IEC 60870-5-104 protocol that is used for communication between substation and control station and focus on the simulation of the substation traffic. Firstly, we will simulate the communication between substation slave and server. Secondly, we will compare the system's normal behavior and its behavior under the attack, in order to extract the right features which will be needed for building an anomaly detection system. Lastly, based on the features we will suggest the anomaly detection system for the asynchronous protocol IEC 60870-5-104.Keywords: Anomaly detection, IEC-60870-5-104, Machine learning, Man-in-the-Middle attacks, Substation security
Procedia PDF Downloads 3566466 Quantifying Individual Performance of Pakistani Cricket Players
Authors: Kasif Khan, Azlan Allahwala, Moiz Ali, Hasan Lodhi, Umer Amjad
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The number of runs scored by batsmen and wickets taken by bowlers serves as a natural way of quantifying the performance of a cricketer. Traditionally the batsmen and bowlers are rated on their batting or bowling average respectively. However, in a game like Cricket, it is not sufficient to evaluate performance on the basis of average. The biasness in selecting batsman and bowler on the basis of their past performance. The objective is to predict the best player and comparing their performance on the basis of venue, opponent, weather, and particular position. On the basis of predictions and analysis, and comparison the best team is selected for next upcoming series of Pakistan. The system is based and will be built to aid analyst in finding best possible team combination of Pakistan for a particular match and by providing them with advisories so that they can select the best possible team combination. This will also help the team management in identifying a perfect batting order and the bowling order for each match.Keywords: data analysis, Pakistan cricket players, quantifying individual performance, cricket
Procedia PDF Downloads 291