Search results for: international classification of functioning
6052 Estimating Tree Height and Forest Classification from Multi Temporal Risat-1 HH and HV Polarized Satellite Aperture Radar Interferometric Phase Data
Authors: Saurav Kumar Suman, P. Karthigayani
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In this paper the height of the tree is estimated and forest types is classified from the multi temporal RISAT-1 Horizontal-Horizontal (HH) and Horizontal-Vertical (HV) Polarised Satellite Aperture Radar (SAR) data. The novelty of the proposed project is combined use of the Back-scattering Coefficients (Sigma Naught) and the Coherence. It uses Water Cloud Model (WCM). The approaches use two main steps. (a) Extraction of the different forest parameter data from the Product.xml, BAND-META file and from Grid-xxx.txt file come with the HH & HV polarized data from the ISRO (Indian Space Research Centre). These file contains the required parameter during height estimation. (b) Calculation of the Vegetation and Ground Backscattering, Coherence and other Forest Parameters. (c) Classification of Forest Types using the ENVI 5.0 Tool and ROI (Region of Interest) calculation.Keywords: RISAT-1, classification, forest, SAR data
Procedia PDF Downloads 3966051 A Social Care Intervention for Improving the Quality of Life of People Living with HIV/AIDS in Ghana
Authors: Tina Abrefa-Gyan
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Background: In Ghana and the rest of sub-Saharan Africa, HIV/AIDS is a public health threat and also causes medical crises for many who are infected with the virus. Objective: This study tested a social care intervention developed to help improve the quality of life of those living with HIV/AIDS in Ghana. Method: Adult respondents (N = 248) were assigned to receive the intervention or usual care for six weeks. Results: Results of the study revealed significant differences between the treatment and control groups in their reports of quality of life. Respondents reported better quality of life upon receiving the intervention. Implication: This study sheds light on the positive relationship between the intervention and quality of life among those living with HIV/AIDS in Ghana. Conclusion: The intervention is innovative and novel in the setting. It will, therefore, help to reduce the risks such as depression, low cognitive functioning, and low physical functioning associated with low quality of life among people living with HIV/AIDS in Ghana in specific, and in sub-Saharan Africa in general.Keywords: social care intervention, HIV/AIDS, Ghana, quality of life
Procedia PDF Downloads 4596050 Comparative International Law and Feminist Legal Studies, Uniting to Make a Difference in Addressing the Disempowerment of Women
Authors: Isaac Kfir
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In thinking about the role of the law and its impact on socially constructed norms and identities, scholars have come to explore a multitude of issues to do with equality, empowerment, and views. The aim of this contribution is threefold. Firstly, offer a descriptive framework of feminist legal studies (FLS) through a review of the evolution of the field in the context of equality, rights, and justice. Secondly, encourage those working on equality, rights, and justice in respect to ‘women’s issues’ to engage in international comparative legal studies. Third, to highlight that those seeking solutions to disempowerment and discrimination must recognize that they need to contend with claims that one is seeking to undermine cultural norms. Therefore, one effective way for feminists to address this situation is by relying more on the international legal mechanism, which reflects basic legal tenets as to the universality of equality, rights, and justice, that can then help shape the domestic setting.Keywords: international comparative law, feminist legal studies, equality, rights, justice
Procedia PDF Downloads 2666049 An Empirical Study on Growth, Trade, Foreign Direct Investment and Environment in India
Authors: Shilpi Tripathi
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India has adopted the policy of economic reforms (Globalization, Liberalization, and Privatization) in 1991 which has reduced the trade barriers and investment restrictions and further increased the economy’s international trade, foreign direct investment (FDI) inflows and Gross Domestic Product (GDP) growth. The paper empirically studies the relationship between India’s international trades, GDP, FDI and environment during 1978-2012. The first part of the paper focuses on the background and trends of FDI, GDP, trade, and environment (CO2). The second part focuses on the literature regarding the relationship among all the variables. The last part of paper, we examine the results of empirical analysis like co integration and Granger causality between foreign trade, FDI inflows, GDP and CO2 since 1978. The findings of the paper revealed that there is only one uni- directional causality exists between GDP and trade. The direction of causality reveals that international trade is one of the major contributors to the economic growth (GDP). While, there is no causality found between GDP and FDI, FDI, and CO2 and International trade and CO2. The paper concludes with the policy recommendations that will ensure environmental friendly trade, investment and growth in India for future.Keywords: international trade, foreign direct investment, GDP, CO2, co-integration, granger causality test
Procedia PDF Downloads 4356048 Ensemble-Based SVM Classification Approach for miRNA Prediction
Authors: Sondos M. Hammad, Sherin M. ElGokhy, Mahmoud M. Fahmy, Elsayed A. Sallam
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In this paper, an ensemble-based Support Vector Machine (SVM) classification approach is proposed. It is used for miRNA prediction. Three problems, commonly associated with previous approaches, are alleviated. These problems arise due to impose assumptions on the secondary structural of premiRNA, imbalance between the numbers of the laboratory checked miRNAs and the pseudo-hairpins, and finally using a training data set that does not consider all the varieties of samples in different species. We aggregate the predicted outputs of three well-known SVM classifiers; namely, Triplet-SVM, Virgo and Mirident, weighted by their variant features without any structural assumptions. An additional SVM layer is used in aggregating the final output. The proposed approach is trained and then tested with balanced data sets. The results of the proposed approach outperform the three base classifiers. Improved values for the metrics of 88.88% f-score, 92.73% accuracy, 90.64% precision, 96.64% specificity, 87.2% sensitivity, and the area under the ROC curve is 0.91 are achieved.Keywords: MiRNAs, SVM classification, ensemble algorithm, assumption problem, imbalance data
Procedia PDF Downloads 3366047 Availability Analysis of Process Management in the Equipment Maintenance and Repair Implementation
Authors: Onur Ozveri, Korkut Karabag, Cagri Keles
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It is an important issue that the occurring of production downtime and repair costs when machines fail in the machine intensive production industries. In the case of failure of more than one machine at the same time, which machines will have the priority to repair, how to determine the optimal repair time should be allotted for this machines and how to plan the resources needed to repair are the key issues. In recent years, Business Process Management (BPM) technique, bring effective solutions to different problems in business. The main feature of this technique is that it can improve the way the job done by examining in detail the works of interest. In the industries, maintenance and repair works are operating as a process and when a breakdown occurs, it is known that the repair work is carried out in a series of process. Maintenance main-process and repair sub-process are evaluated with process management technique, so it is thought that structure could bring a solution. For this reason, in an international manufacturing company, this issue discussed and has tried to develop a proposal for a solution. The purpose of this study is the implementation of maintenance and repair works which is integrated with process management technique and at the end of implementation, analyzing the maintenance related parameters like quality, cost, time, safety and spare part. The international firm that carried out the application operates in a free region in Turkey and its core business area is producing original equipment technologies, vehicle electrical construction, electronics, safety and thermal systems for the world's leading light and heavy vehicle manufacturers. In the firm primarily, a project team has been established. The team dealt with the current maintenance process again, and it has been revised again by the process management techniques. Repair process which is sub-process of maintenance process has been discussed again. In the improved processes, the ABC equipment classification technique was used to decide which machine or machines will be given priority in case of failure. This technique is a prioritization method of malfunctioned machine based on the effect of the production, product quality, maintenance costs and job security. Improved maintenance and repair processes have been implemented in the company for three months, and the obtained data were compared with the previous year data. In conclusion, breakdown maintenance was found to occur in a shorter time, with lower cost and lower spare parts inventory.Keywords: ABC equipment classification, business process management (BPM), maintenance, repair performance
Procedia PDF Downloads 1866046 International Peace and Security: a Study in the Light of the Provisions of the Charter of the United Nations
Authors: Djehich Mohamed Yousri
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As a result of the destruction and devastation left by the two world wars, the international community worked to establish a global organization based on a contractual basis, in which the Security Council was entrusted with the task of working to maintain international peace and security, and to achieve this, the United Nations Charter assigned the latter a wide authority to adapt everything It would threaten international peace and security, although the examiner of the Charter of the United Nations does not find the slightest definition of the concept of international peace and security, although these two principles are among the basic principles that the Charter stipulated the necessity of achieving, and perhaps this was also what was in the opposite case for them. And by that, we mean cases of a threat to peace, a breach of it, or an act of aggression. These terms were not dealt with in the Charter in explanation and detail, leaving ample room for the Security Council to assess each of these cases separately, and perhaps this is due to the fact that the framers of the Charter intended to set a flexible standard. It does not restrict the authority of the Security Council to carry out the adjustment process on the one hand and, on the other hand, to allow and enable the Security Council to keep pace with new developments and threats to which international peace and security are exposed. There is no doubt that the concept of international peace and security has undergone significant changes during the 70-year period that followed the establishment of the international organization. After the threat to peace and security focused - in the first stage - on cases of war or the threat of war, what distinguishes the post- The new world order is the emergence of other challenges and threats that find their source in economic, social, humanitarian, and environmental instability. Perhaps this is what the member states of the Security Council indicated during the preparation of the Peace Agenda. The expansion of the concept of peace and security is what paved the way for some permanent states to use the Security Council to legitimize and implement their decisions and take the council as a tool to implement their foreign policy and punish states instead of maintaining international peace and security, which prompted some states and jurisprudence to call for the establishment of oversight of the decisions of the Council Security on the one hand, and amending the UN Charter to make it more expressive of the aspirations of the international community, referring to the obstacles that prevent this amendment.Keywords: peace, security, united nations charter, security council, united nations organization
Procedia PDF Downloads 676045 Illness Perception and Health-Related Quality of Life among Young Females Living with Polycystic Ovary Syndrome
Authors: Vibha Kriti
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Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder generally found in reproductive women. It is associated with significant reproductive, metabolic, cosmetic, and psychological consequences. Objective: There is a high prevalence of PCOS found among reproductive-age women, therefore, the major objective of the present study is to identify the illness perception of PCOS women and to explore the relationship between illness perception and health-related quality of life (HRQoL). Material and Method: A cross-sectional study was conducted in a university tertiary-care center, Sir Sunder Lal Hospital, Banaras Hindu University (B.H.U). Tools used for data collection were self-structured, which included socio-demographic status, illness perception questionnaire (revised version), and short-form 36 for assessing illness perception and health-related quality of life, respectively. Statistical analysis was done by SPSS version ‘24’. Results: The results of correlation analyses indicated that there is a strong relationship between strong illness perception and HRQoL. Stepwise regression indicated that illness identity, long illness duration, and severe consequences were associated with the worse outcome on emotional functioning and on social functioning. A high score on the controllability of the disease and seeking social support was significantly related to better functioning. Conclusion: Illness perception is an important factor in self-care behaviors in PCOS females and has a strong association with health-related quality of life and has a profound effect on it.Keywords: polycystic ovary syndrome, illness perception, quality of life, young females, mental health
Procedia PDF Downloads 866044 Use of Gaussian-Euclidean Hybrid Function Based Artificial Immune System for Breast Cancer Diagnosis
Authors: Cuneyt Yucelbas, Seral Ozsen, Sule Yucelbas, Gulay Tezel
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Due to the fact that there exist only a small number of complex systems in artificial immune system (AIS) that work out nonlinear problems, nonlinear AIS approaches, among the well-known solution techniques, need to be developed. Gaussian function is usually used as similarity estimation in classification problems and pattern recognition. In this study, diagnosis of breast cancer, the second type of the most widespread cancer in women, was performed with different distance calculation functions that euclidean, gaussian and gaussian-euclidean hybrid function in the clonal selection model of classical AIS on Wisconsin Breast Cancer Dataset (WBCD), which was taken from the University of California, Irvine Machine-Learning Repository. We used 3-fold cross validation method to train and test the dataset. According to the results, the maximum test classification accuracy was reported as 97.35% by using of gaussian-euclidean hybrid function for fold-3. Also, mean of test classification accuracies for all of functions were obtained as 94.78%, 94.45% and 95.31% with use of euclidean, gaussian and gaussian-euclidean, respectively. With these results, gaussian-euclidean hybrid function seems to be a potential distance calculation method, and it may be considered as an alternative distance calculation method for hard nonlinear classification problems.Keywords: artificial immune system, breast cancer diagnosis, Euclidean function, Gaussian function
Procedia PDF Downloads 4286043 Foucault and Governmentality: International Organizations and State Power
Authors: Sara Dragisic
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Using the theoretical analysis of the birth of biopolitics that Foucault performed through the history of liberalism and neoliberalism, in this paper we will try to show how, precisely through problematizing the role of international institutions, the model of governance differs from previous ways of objectifying body and life. Are the state and its mechanisms still a Leviathan to fight against, or can it be even the driver of resistance against the proponents of modern governance and the biopolitical power? Do paradigmatic examples of biopolitics still appear through sovereignty and (international) law, or is it precisely this sphere that shows a significant dose of incompetence and powerlessness in relation to, not only the economic sphere (Foucault’s critique of neoliberalism) but also the new politics of freedom? Have the struggle for freedom and human rights, as well as the war on terrorism, opened a new spectrum of biopolitical processes, which are manifested precisely through new international institutions and humanitarian discourse? We will try to answer these questions, in the following way. On the one hand, we will show that the views of authors such as Agamben and Hardt and Negri, in whom the state and sovereignty are seen as enemies to be defeated or overcome, fail to see how such attempts could translate into the politicization of life like it is done in many examples through the doctrine of liberal interventionism and humanitarianism. On the other hand, we will point out that it is precisely the humanitarian discourse and the defense of the right to intervention that can be the incentive and basis for the politicization of the category of life and lead to the selective application of human rights. Zizek example of the killing of United Nations workers and doctors in a village during the Vietnam War, who were targeted even before police or soldiers, because they were precisely seen as a powerful instrument of American imperialism (as they were sincerely trying to help the population), will be focus of this part of the analysis. We’ll ask the question whether such interpretation is a kind of liquidation of the extreme left of the political (Laclau) or on this basis can be explained at least in part the need to review the functioning of international organizations, ranging from those dealing with humanitarian aid (and humanitarian military interventions) to those dealing with protection and the security of the population, primarily from growing terrorism. Based on the above examples, we will also explain how the discourse of terrorism itself plays a dual role: it can appear as a tool of liberal biopolitics, although, more superficially, it mostly appears as an enemy that wants to destroy the liberal system and its values. This brings us to the basic problem that this paper will tackle: do the mechanisms of institutional struggle for human rights and freedoms, which is often seen as opposed to the security mechanisms of the state, serve the governance of citizens in such a way that the latter themselves participate in producing biopolitical governmental practices? Is the freedom today "nothing but the correlative development of apparatuses of security" (Foucault)? Or, we can continue this line of Foucault’s argumentation and enhance the interpretation with the important question of what precisely today reflects the change in the rationality of governance in which society is transformed from a passive object into a subject of its own production. Finally, in order to understand the skills of biopolitical governance in modern civil society, it is necessary to pay attention to the status of international organizations, which seem to have become a significant place for the implementation of global governance. In this sense, the power of sovereignty can turn out to be an insufficiently strong power of security policy, which can go hand in hand with freedom policies, through neoliberal governmental techniques.Keywords: neoliberalism, Foucault, sovereignty, biopolitics, international organizations, NGOs, Agamben, Hardt&Negri, Zizek, security, state power
Procedia PDF Downloads 2016042 Incorporating Information Gain in Regular Expressions Based Classifiers
Authors: Rosa L. Figueroa, Christopher A. Flores, Qing Zeng-Treitler
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A regular expression consists of sequence characters which allow describing a text path. Usually, in clinical research, regular expressions are manually created by programmers together with domain experts. Lately, there have been several efforts to investigate how to generate them automatically. This article presents a text classification algorithm based on regexes. The algorithm named REX was designed, and then, implemented as a simplified method to create regexes to classify Spanish text automatically. In order to classify ambiguous cases, such as, when multiple labels are assigned to a testing example, REX includes an information gain method Two sets of data were used to evaluate the algorithm’s effectiveness in clinical text classification tasks. The results indicate that the regular expression based classifier proposed in this work performs statically better regarding accuracy and F-measure than Support Vector Machine and Naïve Bayes for both datasets.Keywords: information gain, regular expressions, smith-waterman algorithm, text classification
Procedia PDF Downloads 3086041 Online Handwritten Character Recognition for South Indian Scripts Using Support Vector Machines
Authors: Steffy Maria Joseph, Abdu Rahiman V, Abdul Hameed K. M.
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Online handwritten character recognition is a challenging field in Artificial Intelligence. The classification success rate of current techniques decreases when the dataset involves similarity and complexity in stroke styles, number of strokes and stroke characteristics variations. Malayalam is a complex south indian language spoken by about 35 million people especially in Kerala and Lakshadweep islands. In this paper, we consider the significant feature extraction for the similar stroke styles of Malayalam. This extracted feature set are suitable for the recognition of other handwritten south indian languages like Tamil, Telugu and Kannada. A classification scheme based on support vector machines (SVM) is proposed to improve the accuracy in classification and recognition of online malayalam handwritten characters. SVM Classifiers are the best for real world applications. The contribution of various features towards the accuracy in recognition is analysed. Performance for different kernels of SVM are also studied. A graphical user interface has developed for reading and displaying the character. Different writing styles are taken for each of the 44 alphabets. Various features are extracted and used for classification after the preprocessing of input data samples. Highest recognition accuracy of 97% is obtained experimentally at the best feature combination with polynomial kernel in SVM.Keywords: SVM, matlab, malayalam, South Indian scripts, onlinehandwritten character recognition
Procedia PDF Downloads 5666040 Quality as an Approach to Organizational Change and Its Role in the Reorganization of Enterprises: Case of Four Moroccan Small and Medium-Sized Enterprises
Authors: A. Boudiaf
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The purpose of this paper is to analyze and apprehend, through four case studies, the interest of the project of the implementation of the quality management system (QMS) at four Moroccan small and medium-sized enterprises (SMEs). This project could generate significant organizational change to improve the functioning of the organization. In fact, quality is becoming a necessity in the current business world. It is considered to be a major component in companies’ competitive strategies. It should be noted that quality management is characterized by a set of methods and techniques that can be used to solve malfunctions and reorganize companies. It is useful to point out that the choice of the adoption of the quality approach could be influenced by the circumstances of the business context, it could also be derived from its strategic vision; this means that this choice can be characterized as either a strategic aspect or a reactive aspect. This would probably have a major impact on the functioning of the QMS and also on the perception of the quality issue by company managers and their employees.Keywords: business context, organizational change, quality, reorganization
Procedia PDF Downloads 1026039 The Consumer Behavior and Tourism Marketing of International Tourists Visiting Phuket in Thailand
Authors: Wipanee Maen-In
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This research aims to study the tourism marketing and the trip behaviors profile of international tourists who visited Phuket in Thailand and study the influence of their selected demographic characters on their selected trip behaviors. The study was conducted through survey by using questionnaires asking 400 sample respondents from international tourists who visited Phuket. The result found out that type of group travel is the key variable that indicates higher and lower daily spending tourists, tourists spend more when they visit with their family. Trip arrangement is the key variables that indicate shorter and longer stay tourists. From these findings, it is recommended that both private and public sectors should make marketing to potential tourists in order to increase tourism revenue and to be a sustainable tourism, all of agencies that involves in Phuket tourism industry should coordinate to satisfy tourists to revisit and recommend Phuket to friends and relatives.Keywords: consumer behavior, international tourists, Phuket province, tourism marketing
Procedia PDF Downloads 3046038 A t-SNE and UMAP Based Neural Network Image Classification Algorithm
Authors: Shelby Simpson, William Stanley, Namir Naba, Xiaodi Wang
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Both t-SNE and UMAP are brand new state of art tools to predominantly preserve the local structure that is to group neighboring data points together, which indeed provides a very informative visualization of heterogeneity in our data. In this research, we develop a t-SNE and UMAP base neural network image classification algorithm to embed the original dataset to a corresponding low dimensional dataset as a preprocessing step, then use this embedded database as input to our specially designed neural network classifier for image classification. We use the fashion MNIST data set, which is a labeled data set of images of clothing objects in our experiments. t-SNE and UMAP are used for dimensionality reduction of the data set and thus produce low dimensional embeddings. Furthermore, we use the embeddings from t-SNE and UMAP to feed into two neural networks. The accuracy of the models from the two neural networks is then compared to a dense neural network that does not use embedding as an input to show which model can classify the images of clothing objects more accurately.Keywords: t-SNE, UMAP, fashion MNIST, neural networks
Procedia PDF Downloads 1896037 Global Best Practice Paradox; the Failure of One Size Fits All Approach to Development a Case Study of Pakistan
Authors: Muhammad Naveed Iftikhar, Farah Khalid
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Global best practices as ordained by international organizations comprise a broader top-down approach to development problems, without taking into account country-specific factors. The political economy of each country is extremely different and the failure of several attempts of international organizations to implement global best practice models in developing countries each with its unique set of variables, goes on to show that this is not the most efficient solution to development problems. This paper is a humble attempt at shedding light on some specific examples of failures of the global best practices. Pakistan has its unique set of problems and unless those are added to the broader equation of development, country-specific reform and growth will continue to pose a challenge to reform programs initiated by international organizations. The three case studies presented in this paper are just a few prominent examples of failure of the global best practice, top-down, universalistic approach to development as ordained by international organizations. Development and reform can only be achieved if local dynamics are given their due importance. The modus operandi of international organizations needs to be tailored according to each country’s unique politico-economic environment.Keywords: best practice, development, context
Procedia PDF Downloads 4616036 An Investigation of Service Quality in Tourism: An Experience of International Tourists in Bangkok, Thailand
Authors: Sakul Jaariyachamsit, Kevin Wongleedee
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The objectives of this research were to study five perceptions of service quality from international tourists who visited Bangkok, Thailand. The independent variables included gender, age, levels of education, occupation, and income while the dependent variables included their opinion on the service provided by employees in Thai tourism. An accidental random sampling method was utilized to get 215 respondents. The respondents were both male and female in the same proportion and most were between 21-40 years old. Most were married and had a graduate degree. The average income of the respondents was between $20,000-40,000. The findings revealed that the majority of respondents came to Thailand for the first time and spent about 6-8 days in Thailand and preferred to travel in small groups with no children. The five service perceptions of employees in tourism by the international tourists in descending order according to mean were reliable employees, neat and clean employees, polite employees, timely employees, and competent employees.Keywords: experience, international tourists, service quality, Thailand
Procedia PDF Downloads 2956035 Autonomous Vehicle Detection and Classification in High Resolution Satellite Imagery
Authors: Ali J. Ghandour, Houssam A. Krayem, Abedelkarim A. Jezzini
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High-resolution satellite images and remote sensing can provide global information in a fast way compared to traditional methods of data collection. Under such high resolution, a road is not a thin line anymore. Objects such as cars and trees are easily identifiable. Automatic vehicles enumeration can be considered one of the most important applications in traffic management. In this paper, autonomous vehicle detection and classification approach in highway environment is proposed. This approach consists mainly of three stages: (i) first, a set of preprocessing operations are applied including soil, vegetation, water suppression. (ii) Then, road networks detection and delineation is implemented using built-up area index, followed by several morphological operations. This step plays an important role in increasing the overall detection accuracy since vehicles candidates are objects contained within the road networks only. (iii) Multi-level Otsu segmentation is implemented in the last stage, resulting in vehicle detection and classification, where detected vehicles are classified into cars and trucks. Accuracy assessment analysis is conducted over different study areas to show the great efficiency of the proposed method, especially in highway environment.Keywords: remote sensing, object identification, vehicle and road extraction, vehicle and road features-based classification
Procedia PDF Downloads 2226034 Dynamic Distribution Calibration for Improved Few-Shot Image Classification
Authors: Majid Habib Khan, Jinwei Zhao, Xinhong Hei, Liu Jiedong, Rana Shahzad Noor, Muhammad Imran
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Deep learning is increasingly employed in image classification, yet the scarcity and high cost of labeled data for training remain a challenge. Limited samples often lead to overfitting due to biased sample distribution. This paper introduces a dynamic distribution calibration method for few-shot learning. Initially, base and new class samples undergo normalization to mitigate disparate feature magnitudes. A pre-trained model then extracts feature vectors from both classes. The method dynamically selects distribution characteristics from base classes (both adjacent and remote) in the embedding space, using a threshold value approach for new class samples. Given the propensity of similar classes to share feature distributions like mean and variance, this research assumes a Gaussian distribution for feature vectors. Subsequently, distributional features of new class samples are calibrated using a corrected hyperparameter, derived from the distribution features of both adjacent and distant base classes. This calibration augments the new class sample set. The technique demonstrates significant improvements, with up to 4% accuracy gains in few-shot classification challenges, as evidenced by tests on miniImagenet and CUB datasets.Keywords: deep learning, computer vision, image classification, few-shot learning, threshold
Procedia PDF Downloads 546033 Facial Pose Classification Using Hilbert Space Filling Curve and Multidimensional Scaling
Authors: Mekamı Hayet, Bounoua Nacer, Benabderrahmane Sidahmed, Taleb Ahmed
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Pose estimation is an important task in computer vision. Though the majority of the existing solutions provide good accuracy results, they are often overly complex and computationally expensive. In this perspective, we propose the use of dimensionality reduction techniques to address the problem of facial pose estimation. Firstly, a face image is converted into one-dimensional time series using Hilbert space filling curve, then the approach converts these time series data to a symbolic representation. Furthermore, a distance matrix is calculated between symbolic series of an input learning dataset of images, to generate classifiers of frontal vs. profile face pose. The proposed method is evaluated with three public datasets. Experimental results have shown that our approach is able to achieve a correct classification rate exceeding 97% with K-NN algorithm.Keywords: machine learning, pattern recognition, facial pose classification, time series
Procedia PDF Downloads 3426032 The Satisfaction of International Tourists toward Thai Economy and Bangkok's Attributes
Authors: Ladaporn Pithuk
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This research attempts to explore the satisfaction of international tourists toward Thai economy and Bangkok attributes. Due to tourism industry provides high rate of revenue for Thailand, and the outcome from this business drives every sections of Thailand. Unfortunately, some incidents in the country, such as some turmoil, have ruined the city’s image which obviously impacts to tourism industry. Hence, this survey was established to better understand the tourist’s satisfaction in these matters. The size of this research was 400 international tourists who visit Bangkok, Thailand during the 1st – 20th March 2009 and age between 20 – 65 years. The results reveal that tourists satisfy with all of Bangkok’s attributes including general attractions, heritage attraction, maintenance factors and cultural attraction. Also, tourists’ perception toward Thai politics is significantly related to their satisfaction of Bangkok’s attributes but their perception toward Thai economy is not significantly correlated to their satisfaction of Bangkok’s attributes.Keywords: Bangkok’s attributes, satisfaction of international tourists, Thai economy, and tourism industry
Procedia PDF Downloads 2646031 COVID-19 Detection from Computed Tomography Images Using UNet Segmentation, Region Extraction, and Classification Pipeline
Authors: Kenan Morani, Esra Kaya Ayana
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This study aimed to develop a novel pipeline for COVID-19 detection using a large and rigorously annotated database of computed tomography (CT) images. The pipeline consists of UNet-based segmentation, lung extraction, and a classification part, with the addition of optional slice removal techniques following the segmentation part. In this work, a batch normalization was added to the original UNet model to produce lighter and better localization, which is then utilized to build a full pipeline for COVID-19 diagnosis. To evaluate the effectiveness of the proposed pipeline, various segmentation methods were compared in terms of their performance and complexity. The proposed segmentation method with batch normalization outperformed traditional methods and other alternatives, resulting in a higher dice score on a publicly available dataset. Moreover, at the slice level, the proposed pipeline demonstrated high validation accuracy, indicating the efficiency of predicting 2D slices. At the patient level, the full approach exhibited higher validation accuracy and macro F1 score compared to other alternatives, surpassing the baseline. The classification component of the proposed pipeline utilizes a convolutional neural network (CNN) to make final diagnosis decisions. The COV19-CT-DB dataset, which contains a large number of CT scans with various types of slices and rigorously annotated for COVID-19 detection, was utilized for classification. The proposed pipeline outperformed many other alternatives on the dataset.Keywords: classification, computed tomography, lung extraction, macro F1 score, UNet segmentation
Procedia PDF Downloads 1226030 Exploring Multi-Feature Based Action Recognition Using Multi-Dimensional Dynamic Time Warping
Authors: Guoliang Lu, Changhou Lu, Xueyong Li
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In action recognition, previous studies have demonstrated the effectiveness of using multiple features to improve the recognition performance. We focus on two practical issues: i) most studies use a direct way of concatenating/accumulating multi features to evaluate the similarity between two actions. This way could be too strong since each kind of feature can include different dimensions, quantities, etc; ii) in many studies, the employed classification methods lack of a flexible and effective mechanism to add new feature(s) into classification. In this paper, we explore an unified scheme based on recently-proposed multi-dimensional dynamic time warping (MD-DTW). Experiments demonstrated the scheme's effectiveness of combining multi-feature and the flexibility of adding new feature(s) to increase the recognition performance. In addition, the explored scheme also provides us an open architecture for using new advanced classification methods in the future to enhance action recognition.Keywords: action recognition, multi features, dynamic time warping, feature combination
Procedia PDF Downloads 4326029 The Situation in Afghanistan as a Step Forward in Putting an End to Impunity
Authors: Jelena Radmanovic
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On 5 March 2020, the International Criminal Court has decided to authorize the investigation into the crimes allegedly committed on the territory of Afghanistan after 1 May 2003. The said determination has raised several controversies, including the recently imposed sanctions by the United States, furthering the United States' long-standing rejection of the authority of the International Criminal Court. The purpose of this research is to address the said investigation in light of its importance for the prevention of impunity in the cases where the perpetrators are nationals of Non-Party States to the Rome Statute. Difficulties that the International Criminal Court has been facing, concerning the establishment of its jurisdiction in those instances where an involved state is not a Party to the Rome Statute, have become the most significant stumbling block undermining the importance, integrity, and influence of the Court. The Situation in Afghanistan raises even further concern, bearing in mind that the Prosecutor’s Request for authorization of an investigation pursuant to article 15 from 20 November 2017 has initially been rejected with the ‘interests of justice’ as an applied rationale. The first method used for the present research is the description of the actual events regarding the aforementioned decisions and the following reactions in the international community, while with the second method – the method of conceptual analysis, the research will address the decisions pertaining to the International Criminal Court’s jurisdiction and will attempt to address the mentioned Decision of 5 March 2020 as an example of good practice and a precedent that should be followed in all similar situations. The research will attempt parsing the reasons used by the International Criminal Court, giving rather greater attention to the latter decision that has authorized the investigation and the points raised by the officials of the United States. It is a find of this research that the International Criminal Court, together with other similar judicial instances (Nuremberg and Tokyo Tribunals, The International Criminal Tribunal for the former Yugoslavia, The International Criminal Tribunal for Rwanda), has presented the world with the possibility of non-impunity, attempting to prosecute those responsible for the gravest of crimes known to the humanity and has shown that such persons should not enjoy the benefits of their immunities, with its focus primarily on the victims of such crimes. Whilst it is an issue that will most certainly be addressed further in the future, with the situations that will be brought before the International Criminal Court, the present research will make an attempt at pointing to the significance of the situation in Afghanistan, the International Criminal Court as such and the international criminal justice as a whole, for the purpose of putting an end to impunity.Keywords: Afghanistan, impunity, international criminal court, sanctions, United States
Procedia PDF Downloads 1156028 Intelligent Transport System: Classification of Traffic Signs Using Deep Neural Networks in Real Time
Authors: Anukriti Kumar, Tanmay Singh, Dinesh Kumar Vishwakarma
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Traffic control has been one of the most common and irritating problems since the time automobiles have hit the roads. Problems like traffic congestion have led to a significant time burden around the world and one significant solution to these problems can be the proper implementation of the Intelligent Transport System (ITS). It involves the integration of various tools like smart sensors, artificial intelligence, position technologies and mobile data services to manage traffic flow, reduce congestion and enhance driver's ability to avoid accidents during adverse weather. Road and traffic signs’ recognition is an emerging field of research in ITS. Classification problem of traffic signs needs to be solved as it is a major step in our journey towards building semi-autonomous/autonomous driving systems. The purpose of this work focuses on implementing an approach to solve the problem of traffic sign classification by developing a Convolutional Neural Network (CNN) classifier using the GTSRB (German Traffic Sign Recognition Benchmark) dataset. Rather than using hand-crafted features, our model addresses the concern of exploding huge parameters and data method augmentations. Our model achieved an accuracy of around 97.6% which is comparable to various state-of-the-art architectures.Keywords: multiclass classification, convolution neural network, OpenCV
Procedia PDF Downloads 1656027 A Systematic Literature Review on Security and Privacy Design Patterns
Authors: Ebtehal Aljedaani, Maha Aljohani
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Privacy and security patterns are both important for developing software that protects users' data and privacy. Privacy patterns are designed to address common privacy problems, such as unauthorized data collection and disclosure. Security patterns are designed to protect software from attack and ensure reliability and trustworthiness. Using privacy and security patterns, software engineers can implement security and privacy by design principles, which means that security and privacy are considered throughout the software development process. These patterns are available to translate "security & privacy-by-design" into practical advice for software engineering. Previous research on privacy and security patterns has typically focused on one category of patterns at a time. This paper aims to bridge this gap by merging the two categories and identifying their similarities and differences. To do this, the authors conducted a systematic literature review of 25 research papers on privacy and security patterns. The papers were analysed based on the category of the pattern, the classification of the pattern, and the security requirements that the pattern addresses. This paper presents the results of a comprehensive review of privacy and security design patterns. The review is intended to help future IT designers understand the relationship between the two types of patterns and how to use them to design secure and privacy-preserving software. The paper provides a clear classification of privacy and security design patterns, along with examples of each type. The authors found that there is only one widely accepted classification of privacy design patterns, while there are several competing classifications of security design patterns. Three types of security design patterns were found to be the most commonly used.Keywords: design patterns, security, privacy, classification of patterns, security patterns, privacy patterns
Procedia PDF Downloads 1176026 Diagnosis and Analysis of Automated Liver and Tumor Segmentation on CT
Authors: R. R. Ramsheeja, R. Sreeraj
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For view the internal structures of the human body such as liver, brain, kidney etc have a wide range of different modalities for medical images are provided nowadays. Computer Tomography is one of the most significant medical image modalities. In this paper use CT liver images for study the use of automatic computer aided techniques to calculate the volume of the liver tumor. Segmentation method is used for the detection of tumor from the CT scan is proposed. Gaussian filter is used for denoising the liver image and Adaptive Thresholding algorithm is used for segmentation. Multiple Region Of Interest(ROI) based method that may help to characteristic the feature different. It provides a significant impact on classification performance. Due to the characteristic of liver tumor lesion, inherent difficulties appear selective. For a better performance, a novel proposed system is introduced. Multiple ROI based feature selection and classification are performed. In order to obtain of relevant features for Support Vector Machine(SVM) classifier is important for better generalization performance. The proposed system helps to improve the better classification performance, reason in which we can see a significant reduction of features is used. The diagnosis of liver cancer from the computer tomography images is very difficult in nature. Early detection of liver tumor is very helpful to save the human life.Keywords: computed tomography (CT), multiple region of interest(ROI), feature values, segmentation, SVM classification
Procedia PDF Downloads 5036025 Parental Separation and 'the Best Interests of the Child' at International Law: Guidance for Nation States in the 21st Century
Authors: Cassandra Seery
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During the twentieth century, the notion of child rights at the international level began with the League of Nations’ Geneva Declaration of the Rights of the Child 1924, culminating in the development and adoption of the UN Convention on the Rights of the Child (‘the Convention’) in 1989. A key foundation of child rights lies in the development of the ‘best interests of the child’ principle and its subsequent incorporation into domestic legislation across the globe. This principle has become a key concept in child rights protection and has become a widely recognized principle in the protection of child rights. However, despite its status as the primary operating standard in child and family law and its ‘deepening hold in domestic and international instruments’, the meaning of the ‘best interests of the child’ principle has been criticised as open-ended and vague. This paper explores the evolution and development of the principle in the context of parental separation at international law throughout the 21st century and identifies opportunities for the Nation States to further improve legislative responses in associated child protection cases. An extensive review of relevant United Nations documentation (including instruments, resolutions and comments, jurisprudence, reports, guidelines and policies, training materials and so forth) explores: (i) what progress has been made to further develop the principle at the international level with regard to parental separation; and (ii) what developments participating the Nation States should consider as part of future legal and social policy reforms in this space. It will highlight opportunities for improvement and explore the benefit and relevance of international approaches for the Nation States moving forward.Keywords: international human rights, best interests of the child, legal and social policy, child rights
Procedia PDF Downloads 2526024 An Integrated Lightweight Naïve Bayes Based Webpage Classification Service for Smartphone Browsers
Authors: Mayank Gupta, Siba Prasad Samal, Vasu Kakkirala
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The internet world and its priorities have changed considerably in the last decade. Browsing on smart phones has increased manifold and is set to explode much more. Users spent considerable time browsing different websites, that gives a great deal of insight into user’s preferences. Instead of plain information classifying different aspects of browsing like Bookmarks, History, and Download Manager into useful categories would improve and enhance the user’s experience. Most of the classification solutions are server side that involves maintaining server and other heavy resources. It has security constraints and maybe misses on contextual data during classification. On device, classification solves many such problems, but the challenge is to achieve accuracy on classification with resource constraints. This on device classification can be much more useful in personalization, reducing dependency on cloud connectivity and better privacy/security. This approach provides more relevant results as compared to current standalone solutions because it uses content rendered by browser which is customized by the content provider based on user’s profile. This paper proposes a Naive Bayes based lightweight classification engine targeted for a resource constraint devices. Our solution integrates with Web Browser that in turn triggers classification algorithm. Whenever a user browses a webpage, this solution extracts DOM Tree data from the browser’s rendering engine. This DOM data is a dynamic, contextual and secure data that can’t be replicated. This proposal extracts different features of the webpage that runs on an algorithm to classify into multiple categories. Naive Bayes based engine is chosen in this solution for its inherent advantages in using limited resources compared to other classification algorithms like Support Vector Machine, Neural Networks, etc. Naive Bayes classification requires small memory footprint and less computation suitable for smartphone environment. This solution has a feature to partition the model into multiple chunks that in turn will facilitate less usage of memory instead of loading a complete model. Classification of the webpages done through integrated engine is faster, more relevant and energy efficient than other standalone on device solution. This classification engine has been tested on Samsung Z3 Tizen hardware. The Engine is integrated into Tizen Browser that uses Chromium Rendering Engine. For this solution, extensive dataset is sourced from dmoztools.net and cleaned. This cleaned dataset has 227.5K webpages which are divided into 8 generic categories ('education', 'games', 'health', 'entertainment', 'news', 'shopping', 'sports', 'travel'). Our browser integrated solution has resulted in 15% less memory usage (due to partition method) and 24% less power consumption in comparison with standalone solution. This solution considered 70% of the dataset for training the data model and the rest 30% dataset for testing. An average accuracy of ~96.3% is achieved across the above mentioned 8 categories. This engine can be further extended for suggesting Dynamic tags and using the classification for differential uses cases to enhance browsing experience.Keywords: chromium, lightweight engine, mobile computing, Naive Bayes, Tizen, web browser, webpage classification
Procedia PDF Downloads 1546023 Melodic and Temporal Structure of Indonesian Sentences of Sitcom "International Class" Actors: Prosodic Study with Experimental Phonetics Approach
Authors: Tri Sulistyaningtyas, Yani Suryani, Dana Waskita, Linda Handayani Sukaemi, Ferry Fauzi Hermawan
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The enthusiasm of foreigners studying the Indonesian language by Foreign Speakers (BIPA) was documented in a sitcom "International Class". Tone and stress when they speak the Indonesian language is unique and different from Indonesian pronunciation. By using the Praat program, this research aims to describe prosodic Indonesian language which is spoken by ‘International Class” actors consisting of Abbas from Nigeria, Lee from Korea, and Kotaro from Japan. Data for the research are taken from the video sitcom "International Class" that aired on Indonesian television. The results of this study revealed that pitch movement that arises when pronouncing Indonesian sentences was up and down gradually, there is also a rise and fall sharply. In terms of stress, respondents tend to contain a lot of stress when pronouncing Indonesian sentences. Meanwhile, in terms of temporal structure, the duration pronouncing Indonesian sentences tends to be longer than that of Indonesian speakers.Keywords: melodic structure, temporal structure, prosody, experimental phonetics, international class
Procedia PDF Downloads 296