Search results for: information and communication technologies
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 15774

Search results for: information and communication technologies

5664 Towards a Security Model against Denial of Service Attacks for SIP Traffic

Authors: Arellano Karina, Diego Avila-Pesántez, Leticia Vaca-Cárdenas, Alberto Arellano, Carmen Mantilla

Abstract:

Nowadays, security threats in Voice over IP (VoIP) systems are an essential and latent concern for people in charge of security in a corporate network, because, every day, new Denial-of-Service (DoS) attacks are developed. These affect the business continuity of an organization, regarding confidentiality, availability, and integrity of services, causing frequent losses of both information and money. The purpose of this study is to establish the necessary measures to mitigate DoS threats, which affect the availability of VoIP systems, based on the Session Initiation Protocol (SIP). A Security Model called MS-DoS-SIP is proposed, which is based on two approaches. The first one analyzes the recommendations of international security standards. The second approach takes into account weaknesses and threats. The implementation of this model in a VoIP simulated system allowed to minimize the present vulnerabilities in 92% and increase the availability time of the VoIP service into an organization.

Keywords: Denial-of-Service SIP attacks, MS-DoS-SIP, security model, VoIP-SIP vulnerabilities

Procedia PDF Downloads 196
5663 Exploring the Interplay Between Emotions, Employee’s Social Cognition and Decision Making Among Employees

Authors: Khushi, Simrat

Abstract:

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 53
5662 X-Corner Detection for Camera Calibration Using Saddle Points

Authors: Abdulrahman S. Alturki, John S. Loomis

Abstract:

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 404
5661 Exploring Structure of Human Chromosomes Using Fluorescence Lifetime Imaging

Authors: A. Bhartiya, S. Botchway, M. Yusuf, I. Robinson

Abstract:

Chromatin condensation is maintained by DNA-based proteins and some divalent cations (Mg²⁺, Ca²⁺, etc.). Condensation process during cell division maintains structural and functional organizations of chromosomes by transferring genetic information correctly to daughter cells. Fluorescence Lifetime Imaging (FLIM) technique measures the fluorescence decay of fixed human chromosomes by calculating the lifetime of fluorophores at a pixel x of the arrival of each photon as a function of time delay t, following excitation with a laser pulse. Fixed metaphase human chromosomes were labelled with DNA-binding dye, DAPI and later DAPI fluorescence lifetime measured using multiphoton microscopy. 5 out of 23 pairs of human chromosomes shown shorter lifetime at the centromere region, differentiating proportion of compaction along the length of chromosomes. Different lifetime was observed in a condensed and de-condensed chromosome. It clearly indicates the involvement of divalent cations in the process of condensation.

Keywords: divalent cations, FLIM (Fluorescence Lifetime Imaging), human chromosomes, multiphoton microscopy

Procedia PDF Downloads 281
5660 Ultrastrong Coupling of CdZnS/ZnS Quantum Dots and Breathing Plasmons in Aluminum Metal-Insulator-Metal Nanocavities in Near-Ultraviolet Spectrum

Authors: Li Li, Lei Wang, Chenglin Du, Mengxin Ren, Xinzheng Zhang, Wei Cai, Jingjun Xu

Abstract:

Strong coupling between excitons of quantum dots and plasmons in nanocavites can be realized at room temperature due to the strong confinement of the plasmon fields, which offers building blocks for quantum information systems or ultralow-power switches and lasers. In this work, by using cathodoluminescence, ultrastrong coupling with Rabi splitting above 1 eV between breathing plasmons in Aluminum metal-insulator-metal (MIM) cavity and excited state of CdZnS/ZnS quantum dots was reported in near-UV spectrum. Analytic analysis and full-wave electromagnetic simulations provide the evidence for the strong coupling and confirm the hybridization of the QDs exciton and LSP breathing mode. This study opens the way for new emerging applications based on strongly coupled light-matter states all over the visible region down to ultra-violet frequencies.

Keywords: breathing mode, plasmonics, quantum dot, strong coupling, ultraviolet

Procedia PDF Downloads 194
5659 A Descriptive Preference Analysis on Waterfront Parks Neighboring Lake Shihwa

Authors: J. H. Ahn, J. W. Moon, S. J. Noh, H. K. Kim

Abstract:

Nowadays, as the ecology of Lake Shihwa has been restored significantly, the urban development is in progress around Lake Shihwa areas. Each development project includes a plan on utilizing waterfront areas, but there exist a difference on waterfront design criteria between experts and users. Therefore, it is significant to analyze preferences in design elements of existing waterfront parks around Lake Shihwa (Ansan Waterfront Park, Shihwa Reed Wetland Park, and T-Light Park) based on users’ perspectives and to reflect the result on upcoming waterfront developments. This study derives design elements on waterfront parks from literature reviews. The survey questionnaires are created based on these classified elements and the surveys are conducted to experts and users with in-depth interviews. For all three parks, several park facilities appear to be not recognized by users. Therefore, the circulation path should be introduced in guide maps and information activities and furthermore in disposition of park facilities.

Keywords: design elements, lake Shihwa, preference, waterfront park

Procedia PDF Downloads 449
5658 The Digital Desert in Global Business: Digital Analytics as an Oasis of Hope for Sub-Saharan Africa

Authors: David Amoah Oduro

Abstract:

In the ever-evolving terrain of international business, a profound revolution is underway, guided by the swift integration and advancement of disruptive technologies like digital analytics. In today's international business landscape, where competition is fierce, and decisions are data-driven, the essence of this paper lies in offering a tangible roadmap for practitioners. It is a guide that bridges the chasm between theory and actionable insights, helping businesses, investors, and entrepreneurs navigate the complexities of international expansion into sub-Saharan Africa. This practitioner paper distils essential insights, methodologies, and actionable recommendations for businesses seeking to leverage digital analytics in their pursuit of market entry and expansion across the African continent. What sets this paper apart is its unwavering focus on a region ripe with potential: sub-Saharan Africa. The adoption and adaptation of digital analytics are not mere luxuries but essential strategic tools for evaluating countries and entering markets within this dynamic region. With the spotlight firmly fixed on sub-Saharan Africa, the aim is to provide a compelling resource to guide practitioners in their quest to unearth the vast opportunities hidden within sub-Saharan Africa's digital desert. The paper illuminates the pivotal role of digital analytics in providing a data-driven foundation for market entry decisions. It highlights the ability to uncover market trends, consumer behavior, and competitive landscapes. By understanding Africa's incredible diversity, the paper underscores the importance of tailoring market entry strategies to account for unique cultural, economic, and regulatory factors. For practitioners, this paper offers a set of actionable recommendations, including the creation of cross-functional teams, the integration of local expertise, and the cultivation of long-term partnerships to ensure sustainable market entry success. It advocates for a commitment to continuous learning and flexibility in adapting strategies as the African market evolves. This paper represents an invaluable resource for businesses, investors, and entrepreneurs who are keen on unlocking the potential of digital analytics for informed market entry in Africa. It serves as a guiding light, equipping practitioners with the essential tools and insights needed to thrive in this dynamic and diverse continent. With these key insights, methodologies, and recommendations, this paper is a roadmap to prosperous and sustainable market entry in Africa. It is vital for anyone looking to harness the transformational potential of digital analytics to create prosperous and sustainable ventures in a region brimming with promise. In the ever-advancing digital age, this practitioner paper becomes a lodestar, guiding businesses and visionaries toward success amidst the unique challenges and rewards of sub-Saharan Africa's international business landscape.

Keywords: global analytics, digital analytics, sub-Saharan Africa, data analytics

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5657 Home Garden: A Food-Based Strategy to Achieve Sustainable Impact on Household Nutrition of Resource-Poor Families in Nepal

Authors: Purushottam P. Khatiwada, Bikash Paudel, Ram B. Rana, Parshuram Biswakarma, Roshan Pudasaini

Abstract:

Nepal has been putting its efforts into securing food and nutrition security for its citizens adopting different models and approaches. Home Garden approach, that integrates vegetables, fruits, small livestock, poultry along with other components like fish, honeybee, mushroom, spices for the promotion of nutritional security of resource-poor and disadvantaged groups was implemented during March 2009 to July 2013 spreading over 16 districts of Nepal covering 115 farmers groups, directly working with 3500 households. Sustained long-term impact of development interventions targeted to the resource-poor and disadvantaged groups has been a recurrent issue for donors, policymakers and practitioners alike. Considering the issue, a post-project evaluation was carried out in a selected project group (Dangibari of Jhapa) after four years of project completion in 2017 in order to evaluate the impact and understand the factors associated with its success. Qualitative information was collected through focus group discussion with group members and associated local institutions. For quantitative information, a quick survey was carried out to the same group members only selecting few indicators. The results are compared with the data obtained from the baseline study conducted by the project in March 2009. The impact of project intervention was evident as compared to the benchmarks established during the baseline, even after four years of project completion. The area under home garden is increased to 729 m² from 386 m² and average food self-sufficiency months increased to 10.22 from 8.11. Seven to eleven fruit species are maintained in the home gardens. An average number of vegetable species grown increased to 15.85 from 9.86. It has resulted in an increase in vegetables self-sufficient month to 8.74 from 4.74 and a huge increase in cash income NPR 6142.8 (USD 59.6) from NPR 385.7 (USD 3.9) from the sale of surplus vegetables. Coaching and mentoring including nutrition sensitization by the project staff at the beginning, inputs and technical support during the project implementation phase and projects effort on the institutional building of disadvantaged farmers were the key drivers of home garden sustainability and expansion. Specifically, package of home garden management trainings provided by the project staff, availability of group funds for buying inputs even after the project, uniting home garden group members in a cooperative, resource leveraging by local institutions through group lobbying, farmers innovations for maintaining home garden diversity and continuous backstopping support by few active members as local resource persons to other members are some additional factors contributing to sustain and/or improve the home garden status by the resource-poor and disadvantaged group.

Keywords: food-based nutrition, home garden, resource-poor and disadvantaged group, sustained impact

Procedia PDF Downloads 135
5656 Of Digital Games and Dignity: Rationalizing E-Sports Amidst Stereotypes Associated with Gamers

Authors: Sarthak Mohapatra, Ajith Babu, Shyam Prasad Ghosh

Abstract:

The community of gamers has been at the crux of stigmatization and marginalization by the larger society, resulting in dignity erosion. India presents a unique context where e-sports have recently seen large-scale investments, a massive userbase, and appreciable demand for gaming as a career option. Yet the apprehension towards gaming is salient among parents and non-gamers who engage in the de-dignification of gamers, by advocating the discourse of violence promotion via video games. Even the government is relentless in banning games due to data privacy issues. Thus, the current study explores the experiences of gamers and how they navigate these de-dignifying circumstances. The study follows an exploratory qualitative approach where in-depth interviews are used as data collection tools guided by a semi-structured questionnaire. A total of 25 individuals were interviewed comprising casual gamers, professional gamers, and individuals who are indirectly impacted by gaming including parents, relatives, and friends of gamers. Thematic analysis via three-level coding is used to arrive at broad themes (categories) and their sub-themes. The results indicate that the de-dignification of gamers results from attaching stereotypes of introversion, aggression, low intelligence, and low aspirations to them. It is interesting to note that the intensity of de-dignification varies and is more salient in violent shooting games which are perceived to require low cognitive resources to master. The moral disengagement of gamers while playing violent video games becomes the basis for de-dignification. Findings reveal that circumventing de-dignification required gamers to engage in several tactics that included playing behind closed doors, consciously hiding the gamer identity, rationalizing behavior by idolizing professionals, bragging about achievements within the game, and so on. Theoretically, it contributes to dignity and social identity literature by focusing on stereotyping and stigmatization. From a policy perspective, improving legitimacy toward gaming is expected to improve the social standing of gamers and professionals. For practitioners, it is important that proper channels of promotion and communication are used to educate the non-gamers so that the stereotypes blur away.

Keywords: dignity, social identity, stereotyping, video games

Procedia PDF Downloads 93
5655 A Method for Allocation of Smart Intersections Using Traffic Information

Authors: Sang-Tae Ji, Jeong-Woo Park, Jun-Ho Park, Kwang-Woo Nam

Abstract:

This study aims is to suggest the basic factors by considering the priority of intersection in the diffusion project of Smart intersection. Busan Metropolitan City is conducting a smart intersection project for efficient traffic management. The smart intersection project aims to make breakthrough improvement of the intersection congestion by optimizing the signal system using CCTV (closed-circuit television camera) image analysis technology. This study investigated trends of existing researches and analyzed by setting three things of traffic volume, characteristics of intersection road, and whether or not to conduct the main arterial road as factors for selecting new intersection when spreading smart intersection. Using this, we presented the priority of the newly installed intersection through the present situation and analysis for the Busan Metropolitan City which is the main destination of the spreading project of the smart intersection. The results of this study can be used as a consideration in the implementation of smart intersection business.

Keywords: CCTV, GIS, ICT, Smart City, smart intersection

Procedia PDF Downloads 382
5654 Generating Real-Time Visual Summaries from Located Sensor-Based Data with Chorems

Authors: Z. Bouattou, R. Laurini, H. Belbachir

Abstract:

This paper describes a new approach for the automatic generation of the visual summaries dealing with cartographic visualization methods and sensors real time data modeling. Hence, the concept of chorems seems an interesting candidate to visualize real time geographic database summaries. Chorems have been defined by Roger Brunet (1980) as schematized visual representations of territories. However, the time information is not yet handled in existing chorematic map approaches, issue has been discussed in this paper. Our approach is based on spatial analysis by interpolating the values recorded at the same time, by sensors available, so we have a number of distributed observations on study areas and used spatial interpolation methods to find the concentration fields, from these fields and by using some spatial data mining procedures on the fly, it is possible to extract important patterns as geographic rules. Then, those patterns are visualized as chorems.

Keywords: geovisualization, spatial analytics, real-time, geographic data streams, sensors, chorems

Procedia PDF Downloads 397
5653 Engineering Topology of Photonic Systems for Sustainable Molecular Structure: Autopoiesis Systems

Authors: Moustafa Osman Mohammed

Abstract:

This paper introduces topological order in descried social systems starting with the original concept of autopoiesis by biologists and scientists, including the modification of general systems based on socialized medicine. Topological order is important in describing the physical systems for exploiting optical systems and improving photonic devices. The stats of topological order have some interesting properties of topological degeneracy and fractional statistics that reveal the entanglement origin of topological order, etc. Topological ideas in photonics form exciting developments in solid-state materials, that being; insulating in the bulk, conducting electricity on their surface without dissipation or back-scattering, even in the presence of large impurities. A specific type of autopoiesis system is interrelated to the main categories amongst existing groups of the ecological phenomena interaction social and medical sciences. The hypothesis, nevertheless, has a nonlinear interaction with its natural environment 'interactional cycle' for exchange photon energy with molecules without changes in topology. The engineering topology of a biosensor is based on the excitation boundary of surface electromagnetic waves in photonic band gap multilayer films. The device operation is similar to surface Plasmonic biosensors in which a photonic band gap film replaces metal film as the medium when surface electromagnetic waves are excited. The use of photonic band gap film offers sharper surface wave resonance leading to the potential of greatly enhanced sensitivity. So, the properties of the photonic band gap material are engineered to operate a sensor at any wavelength and conduct a surface wave resonance that ranges up to 470 nm. The wavelength is not generally accessible with surface Plasmon sensing. Lastly, the photonic band gap films have robust mechanical functions that offer new substrates for surface chemistry to understand the molecular design structure and create sensing chips surface with different concentrations of DNA sequences in the solution to observe and track the surface mode resonance under the influences of processes that take place in the spectroscopic environment. These processes led to the development of several advanced analytical technologies: which are; automated, real-time, reliable, reproducible, and cost-effective. This results in faster and more accurate monitoring and detection of biomolecules on refractive index sensing, antibody-antigen reactions with a DNA or protein binding. Ultimately, the controversial aspect of molecular frictional properties is adjusted to each other in order to form unique spatial structure and dynamics of biological molecules for providing the environment mutual contribution in investigation of changes due to the pathogenic archival architecture of cell clusters.

Keywords: autopoiesis, photonics systems, quantum topology, molecular structure, biosensing

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5652 The Budget Profile of the Municipality of AtaleIa-MG in the Context of the Micro-Region of Teofilo Otoni in Brazil

Authors: Jeferson Gomes Dos Santos, Mirelle Cristina De Abreu Quintela

Abstract:

Considering that after the 1988 Constitution, in Brazil, municipalities have acquired new roles in the face of a financial reality that jeopardizes more substantial actions, the Public Budget is essential for the establishment of guidelines for action, within each budgetary reality. Within this, the present work sought to understand the budget profile of the mining municipality of Ataleia, with a view to identifying its budget composition, in relation to the main sources of revenue and expenditure. To achieve the purposes of the study, information was collected on the municipality's finances, from the years 2000 to 2016, visualizing the progress of its revenues in terms of funding and origin, and expenses in terms of nature and purpose. It was evidenced that the municipality, having its budget revenue in the period, still shows great dependence on intergovernmental transfers, as the own collection was relatively low. The budget expenditure of the period was mainly influenced by social expenditures, but it must be said that the municipality complied with the limits of spending, minimum and maximum, established by law.

Keywords: expenses, municipal budget, planning, revenue

Procedia PDF Downloads 220
5651 Single Cell Rna Sequencing Operating from Benchside to Bedside: An Interesting Entry into Translational Genomics

Authors: Leo Nnamdi Ozurumba-Dwight

Abstract:

Single-cell genomic analytical systems have proved to be a platform to isolate bulk cells into selected single cells for genomic, proteomic, and related metabolomic studies. This is enabling systematic investigations of the level of heterogeneity in a diverse and wide pool of cell populations. Single cell technologies, embracing techniques such as high parameter flow cytometry, single-cell sequencing, and high-resolution images are playing vital roles in these investigations on messenger ribonucleic acid (mRNA) molecules and related gene expressions in tracking the nature and course of disease conditions. This entails targeted molecular investigations on unit cells that help us understand cell behavoiur and expressions, which can be examined for their health implications on the health state of patients. One of the vital good sides of single-cell RNA sequencing (scRNA seq) is its probing capacity to detect deranged or abnormal cell populations present within homogenously perceived pooled cells, which would have evaded cursory screening on the pooled cell populations of biological samples obtained as part of diagnostic procedures. Despite conduction of just single-cell transcriptome analysis, scRNAseq now permits comparison of the transcriptome of the individual cells, which can be evaluated for gene expressional patterns that depict areas of heterogeneity with pharmaceutical drug discovery and clinical treatment applications. It is vital to strictly work through the tools of investigations from wet lab to bioinformatics and computational tooled analyses. In the precise steps for scRNAseq, it is critical to do thorough and effective isolation of viable single cells from the tissues of interest using dependable techniques (such as FACS) before proceeding to lysis, as this enhances the appropriate picking of quality mRNA molecules for subsequent sequencing (such as by the use of Polymerase Chain Reaction machine). Interestingly, scRNAseq can be deployed to analyze various types of biological samples such as embryos, nervous systems, tumour cells, stem cells, lymphocytes, and haematopoietic cells. In haematopoietic cells, it can be used to stratify acute myeloid leukemia patterns in patients, sorting them out into cohorts that enable re-modeling of treatment regimens based on stratified presentations. In immunotherapy, it can furnish specialist clinician-immunologist with tools to re-model treatment for each patient, an attribute of precision medicine. Finally, the good predictive attribute of scRNAseq can help reduce the cost of treatment for patients, thus attracting more patients who would have otherwise been discouraged from seeking quality clinical consultation help due to perceived high cost. This is a positive paradigm shift for patients’ attitudes primed towards seeking treatment.

Keywords: immunotherapy, transcriptome, re-modeling, mRNA, scRNA-seq

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5650 Pilomatrixoma of the Left Infra-Orbital Region in a 9 Year Old

Authors: Zainab Shaikh, Yusuf Miyanji

Abstract:

Pilomatrixoma is a benign neoplasm of the hair follicle matrix that is not commonly diagnosed in general practice. This is a case report of a 9-year-old boy who presented with a one-year history of a 19mm x 11 mm swelling in the left infra-orbital region. This was previously undiagnosed in Spain, where the patient resided at the time of initial presentation, due to the language barrier the patient’s family encountered. An ultrasound and magnetic resonance imaging gave useful information regarding surrounding structures for complete tumor excision and indicated that the risk of facial nerve palsy is low. The lesion was surgically excised and a definitive diagnosis was made after histopathology. Pilomatrixoma, although not rare in its occurrence, is rarely this large at the time of excision due to early presentation. This case highlights the importance of including pilomatrixoma in the differential diagnosis of dermal and subcutaneous lesions in the head and neck region, as it is often misdiagnosed due to the lack of awareness of its clinical presentation.

Keywords: pilomatrixoma, swelling, infra-orbital, facial swelling

Procedia PDF Downloads 137
5649 Coal Mining Safety Monitoring Using Wsn

Authors: Somdatta Saha

Abstract:

The main purpose was to provide an implementable design scenario for underground coal mines using wireless sensor networks (WSNs). The main reason being that given the intricacies in the physical structure of a coal mine, only low power WSN nodes can produce accurate surveillance and accident detection data. The work mainly concentrated on designing and simulating various alternate scenarios for a typical mine and comparing them based on the obtained results to arrive at a final design. In the Era of embedded technology, the Zigbee protocols are used in more and more applications. Because of the rapid development of sensors, microcontrollers, and network technology, a reliable technological condition has been provided for our automatic real-time monitoring of coal mine. The underground system collects temperature, humidity and methane values of coal mine through sensor nodes in the mine; it also collects the number of personnel inside the mine with the help of an IR sensor, and then transmits the data to information processing terminal based on ARM.

Keywords: ARM, embedded board, wireless sensor network (Zigbee)

Procedia PDF Downloads 338
5648 Digital Elevation Model Analysis of Potential Prone Flood Disaster Watershed Citarum Headwaters Bandung

Authors: Faizin Mulia Rizkika, Iqbal Jabbari Mufti, Muhammad R. Y. Nugraha, Fadil Maulidir Sube

Abstract:

Flooding is an event of ponding on the flat area around the river as a result of the overflow of river water was not able to be accommodated by the river and may cause damage to the infrastructure of a region. This study aimed to analyze the data of Digital Elevation Model (DEM) for information that plays a role in the mapping of zones prone to flooding, mapping the distribution of zones prone to flooding that occurred in the Citarum upstream using secondary data and software (ArcGIS, MapInfo), this assessment was made distribution map of flooding, there were 13 counties / districts dam flood-prone areas in Bandung, and the most vulnerable districts are areas Baleendah-Dayeuhkolot-Bojongsoang-Banjaran. The area has a low slope and the same limits with boundary rivers and areas that have excessive land use, so the water catchment area is reduced.

Keywords: mitigation, flood, citarum, DEM

Procedia PDF Downloads 382
5647 Preservation of Artistic Heritage: Effect of Modernization on Antiquities and Traditional Murals in Nigeria

Authors: Uchenna Bella Onu

Abstract:

Traditional art is one of Nigerian cultural heritage. It is an excellent instrument for documentation and identification. Antiquities are priceless and irreplaceable. They are basically preserved for future generations. Sadly, preserving these highly prized cultural heritage is becoming a serious challenge. This paper examines the extent modernization has affected the preservation of traditional art in Nigeria. Particularly hit is the antiquities and traditional murals of eastern part of Nigeria. Participatory visual methods were used for this study. Efforts were made to reach the few surviving and aged mural artists. Oral information was collected from them as well as first hand drawings and some photographs of their works. Findings indicate that modernization has seriously affected the preservation of Nigerian artistic heritage. Further findings show that traditional mural artists are gradually dwindling and dangerously going into extinct. Antiquities are indiscriminately destroyed due to sheer ignorance and the blind quest to fit into the so called modern world.  

Keywords: antiquities, artistic heritage, cultural preservation, drawings, modernization, murals

Procedia PDF Downloads 162
5646 Segmentation of Gray Scale Images of Dropwise Condensation on Textured Surfaces

Authors: Helene Martin, Solmaz Boroomandi Barati, Jean-Charles Pinoli, Stephane Valette, Yann Gavet

Abstract:

In the present work we developed an image processing algorithm to measure water droplets characteristics during dropwise condensation on pillared surfaces. The main problem in this process is the similarity between shape and size of water droplets and the pillars. The developed method divides droplets into four main groups based on their size and applies the corresponding algorithm to segment each group. These algorithms generate binary images of droplets based on both their geometrical and intensity properties. The information related to droplets evolution during time including mean radius and drops number per unit area are then extracted from the binary images. The developed image processing algorithm is verified using manual detection and applied to two different sets of images corresponding to two kinds of pillared surfaces.

Keywords: dropwise condensation, textured surface, image processing, watershed

Procedia PDF Downloads 217
5645 Taxonomic Classification for Living Organisms Using Convolutional Neural Networks

Authors: Saed Khawaldeh, Mohamed Elsharnouby, Alaa Eddin Alchalabi, Usama Pervaiz, Tajwar Aleef, Vu Hoang Minh

Abstract:

Taxonomic classification has a wide-range of applications such as finding out more about the evolutionary history of organisms that can be done by making a comparison between species living now and species that lived in the past. This comparison can be made using different kinds of extracted species’ data which include DNA sequences. Compared to the estimated number of the organisms that nature harbours, humanity does not have a thorough comprehension of which specific species they all belong to, in spite of the significant development of science and scientific knowledge over many years. One of the methods that can be applied to extract information out of the study of organisms in this regard is to use the DNA sequence of a living organism as a marker, thus making it available to classify it into a taxonomy. The classification of living organisms can be done in many machine learning techniques including Neural Networks (NNs). In this study, DNA sequences classification is performed using Convolutional Neural Networks (CNNs) which is a special type of NNs.

Keywords: deep networks, convolutional neural networks, taxonomic classification, DNA sequences classification

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5644 A User Study on the Adoption of Context-Aware Destination Mobile Applications

Authors: Shu-Lu Hsu, Fang-Yi Chu

Abstract:

With the advances in information and communications technology, mobile context-aware applications have become powerful marketing tools. In Apple online store, there are numerous mobile applications (APPs) developed for destination tour. This study investigated the determinants of adoption of context-aware APPs for destination tour services. A model is proposed based on Technology Acceptance Model and privacy concern theory. The model was empirically tested based on a sample of 259 users of a tourism APP published by Kaohsiung Tourism Bureau, Taiwan. The results showed that the fitness of the model is well and, among all the factors, the perceived usefulness and perceived ease of use have the most significant influences on the intention to adopt context-aware destination APPs. Finally, contrary to the findings of previous literature, the effect of privacy concern on the adoption intention of context-aware APP is insignificant.

Keywords: mobile application, context-aware, privacy concern, TAM

Procedia PDF Downloads 252
5643 The Need for the Inclusion of Museum Studies at All Levels of Education in Nigeria

Authors: Stephany Inalegwu

Abstract:

Museums play a very critical role in understanding the cultural values and the history of any given society in Nigeria and the world at large. The role of Museums as an avenue through which artefacts are collected, preserved and exhibited cannot be over emphasized as they are now seen as not only with the above stated aims but also as a creator of employment and revenue generation if properly harnessed. Interestingly, despite its importance, museum studies have been limited to University curriculum alone causing a dearth of information for the younger generation up until they attain the University age. It is against this background that this paper carefully analyses the definitions of museums, the state of museums and museum studies in Nigeria today and the need to include its studies at all the levels of Education in Nigeria from the primary, to secondary and tertiary levels. It should reflect a study of all ages, as this is vital in the development of individuals. It concludes by harping on the need for a better appreciation of the Nigerian culture ranging from the famous Nok Terracotta, Benin Bronze works etc and its importance of museums as an avenue to display the rich Nigerian cultural heritage.

Keywords: culture, curriculum, education, museum

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5642 Raising Awareness among Residents about the Exact Fate of Dirt in the Neighborhood of Porto Belo

Authors: Marie Oslène Honorat

Abstract:

Porto Belo is a neighborhood in the city of Foz do Iguaçu / PR, located in the Vila C region of Brazil. It is a project that addresses the question of the dirt generated by the neighborhood community about how they dispose and recycle domestic waste. This project aimed at raising awareness among residents, on how important it is to preserve the environment and take care, especially of the space in which we are located. Living this way manages to minimize the exploitation of natural resources, soil and water pollution. After collecting information about what one saw, we questioned some people in the neighborhood to find out about selective collection, recycling, and the separation and final destination of garbage. From the study, it was possible to verify the importance of placing more trash cans on neighborhood streets, where garbage is discarded, and the importance of promoting environmental education to improve the environment and quality of life. The methodology used in this research was a qualitative methodology that seeks the principle of transforming reality through investigation.

Keywords: awareness, recycling, selective collection, waste disposal

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5641 Efficient Ground Targets Detection Using Compressive Sensing in Ground-Based Synthetic-Aperture Radar (SAR) Images

Authors: Gherbi Nabil

Abstract:

Detection of ground targets in SAR radar images is an important area for radar information processing. In the literature, various algorithms have been discussed in this context. However, most of them are of low robustness and accuracy. To this end, we discuss target detection in SAR images based on compressive sensing. Firstly, traditional SAR image target detection algorithms are discussed, and their limitations are highlighted. Secondly, a compressive sensing method is proposed based on the sparsity of SAR images. Next, the detection problem is solved using Multiple Measurements Vector configuration. Furthermore, a robust Alternating Direction Method of Multipliers (ADMM) is developed to solve the optimization problem. Finally, the detection results obtained using raw complex data are presented. Experimental results on real SAR images have verified the effectiveness of the proposed algorithm.

Keywords: compressive sensing, raw complex data, synthetic aperture radar, ADMM

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5640 Development of the Structure of the Knowledgebase for Countermeasures in the Knowledge Acquisition Process for Trouble Prediction in Healthcare Processes

Authors: Shogo Kato, Daisuke Okamoto, Satoko Tsuru, Yoshinori Iizuka, Ryoko Shimono

Abstract:

Healthcare safety has been perceived important. It is essential to prevent troubles in healthcare processes for healthcare safety. Trouble prevention is based on trouble prediction using accumulated knowledge on processes, troubles, and countermeasures. However, information on troubles has not been accumulated in hospitals in the appropriate structure, and it has not been utilized effectively to prevent troubles. In the previous study, though a detailed knowledge acquisition process for trouble prediction was proposed, the knowledgebase for countermeasures was not involved. In this paper, we aim to propose the structure of the knowledgebase for countermeasures in the knowledge acquisition process for trouble prediction in healthcare process. We first design the structure of countermeasures and propose the knowledge representation form on countermeasures. Then, we evaluate the validity of the proposal, by applying it into an actual hospital.

Keywords: trouble prevention, knowledge structure, structured knowledge, reusable knowledge

Procedia PDF Downloads 364
5639 Learning Object Interface Adapted to the Learner's Learning Style

Authors: Zenaide Carvalho da Silva, Leandro Rodrigues Ferreira, Andrey Ricardo Pimentel

Abstract:

Learning styles (LS) refer to the ways and forms that the student prefers to learn in the teaching and learning process. Each student has their own way of receiving and processing information throughout the learning process. Therefore, knowing their LS is important to better understand their individual learning preferences, and also, understand why the use of some teaching methods and techniques give better results with some students, while others it does not. We believe that knowledge of these styles enables the possibility of making propositions for teaching; thus, reorganizing teaching methods and techniques in order to allow learning that is adapted to the individual needs of the student. Adapting learning would be possible through the creation of online educational resources adapted to the style of the student. In this context, this article presents the structure of a learning object interface adaptation based on the LS. The structure created should enable the creation of the adapted learning object according to the student's LS and contributes to the increase of student’s motivation in the use of a learning object as an educational resource.

Keywords: adaptation, interface, learning object, learning style

Procedia PDF Downloads 401
5638 Racial Distress in the Digital Age: A Mixed-Methods Exploration of the Effects of Social Media Exposure to Police Brutality on Black Students

Authors: Amanda M. McLeroy, Tiera Tanksley

Abstract:

The 2020 movement for Black Lives, ignited by anti-Black police brutality and exemplified by the public execution of George Floyd, underscored the dual potential of social media for political activism and perilous exposure to traumatic content for Black students. This study employs Critical Race Technology Theory (CRTT) to scrutinize algorithmic anti-blackness and its impact on Black youth's lives and educational experiences. The research investigates the consequences of vicarious exposure to police brutality on social media among Black adolescents through qualitative interviews and quantitative scale data. The findings reveal an unprecedented surge in exposure to viral police killings since 2020, resulting in profound physical, socioemotional, and educational effects on Black youth. CRTT forms the theoretical basis, challenging the notion of digital technologies as post-racial and neutral, aiming to dismantle systemic biases within digital systems. Black youth, averaging over 13 hours of daily social media use, face constant exposure to graphic images of Black individuals dying. The study connects this exposure to a range of physical, socioemotional, and mental health consequences, emphasizing the urgent need for understanding and support. The research proposes questions to explore the extent of police brutality exposure and its effects on Black youth. Qualitative interviews with high school and college students and quantitative scale data from undergraduates contribute to a nuanced understanding of the impact of police brutality exposure on Black youth. Themes of unprecedented exposure to viral police killings, physical and socioemotional effects, and educational consequences emerge from the analysis. The study uncovers how vicarious experiences of negative police encounters via social media lead to mistrust, fear, and psychosomatic symptoms among Black adolescents. Implications for educators and counselors are profound, emphasizing the cultivation of empathy, provision of mental health support, integration of media literacy education, and encouragement of activism. Recognizing family and community influences is crucial for comprehensive support. Professional development opportunities in culturally responsive teaching and trauma-informed approaches are recommended for educators. In conclusion, creating a supportive educational environment that addresses the emotional impact of social media exposure to police brutality is crucial for the well-being and development of Black adolescents. Counselors, through safe spaces and collaboration, play a vital role in supporting Black youth facing the distressing effects of social media exposure to police brutality.

Keywords: black youth, mental health, police brutality, social media

Procedia PDF Downloads 46
5637 Towards a Secure Storage in Cloud Computing

Authors: Mohamed Elkholy, Ahmed Elfatatry

Abstract:

Cloud computing has emerged as a flexible computing paradigm that reshaped the Information Technology map. However, cloud computing brought about a number of security challenges as a result of the physical distribution of computational resources and the limited control that users have over the physical storage. This situation raises many security challenges for data integrity and confidentiality as well as authentication and access control. This work proposes a security mechanism for data integrity that allows a data owner to be aware of any modification that takes place to his data. The data integrity mechanism is integrated with an extended Kerberos authentication that ensures authorized access control. The proposed mechanism protects data confidentiality even if data are stored on an untrusted storage. The proposed mechanism has been evaluated against different types of attacks and proved its efficiency to protect cloud data storage from different malicious attacks.

Keywords: access control, data integrity, data confidentiality, Kerberos authentication, cloud security

Procedia PDF Downloads 329
5636 Plasma Chemical Gasification of Solid Fuel with Mineral Mass Processing

Authors: V. E. Messerle, O. A. Lavrichshev, A. B. Ustimenko

Abstract:

Currently and in the foreseeable future (up to 2100), the global economy is oriented to the use of organic fuel, mostly, solid fuels, the share of which constitutes 40% in the generation of electric power. Therefore, the development of technologies for their effective and environmentally friendly application represents a priority problem nowadays. This work presents the results of thermodynamic and experimental investigations of plasma technology for processing of low-grade coals. The use of this technology for producing target products (synthesis gas, hydrogen, technical carbon, and valuable components of mineral mass of coals) meets the modern environmental and economic requirements applied to basic industrial sectors. The plasma technology of coal processing for the production of synthesis gas from the coal organic mass (COM) and valuable components from coal mineral mass (CMM) is highly promising. Its essence is heating the coal dust by reducing electric arc plasma to the complete gasification temperature, when the COM converts into synthesis gas, free from particles of ash, nitrogen oxides and sulfur. At the same time, oxides of the CMM are reduced by the carbon residue, producing valuable components, such as technical silicon, ferrosilicon, aluminum and carbon silicon, as well as microelements of rare metals, such as uranium, molybdenum, vanadium, titanium. Thermodynamic analysis of the process was made using a versatile computation program TERRA. Calculations were carried out in the temperature range 300 - 4000 K and a pressure of 0.1 MPa. Bituminous coal with the ash content of 40% and the heating value 16,632 kJ/kg was taken for the investigation. The gaseous phase of coal processing products includes, basically, a synthesis gas with a concentration of up to 99 vol.% at 1500 K. CMM components completely converts from the condensed phase into the gaseous phase at a temperature above 2600 K. At temperatures above 3000 K, the gaseous phase includes, basically, Si, Al, Ca, Fe, Na, and compounds of SiO, SiH, AlH, and SiS. The latter compounds dissociate into relevant elements with increasing temperature. Complex coal conversion for the production of synthesis gas from COM and valuable components from CMM was investigated using a versatile experimental plant the main element of which was plug and flow plasma reactor. The material and thermal balances helped to find the integral indicators for the process. Plasma-steam gasification of the low-grade coal with CMM processing gave the synthesis gas yield 95.2%, the carbon gasification 92.3%, and coal desulfurization 95.2%. The reduced material of the CMM was found in the slag in the form of ferrosilicon as well as silicon and iron carbides. The maximum reduction of the CMM oxides was observed in the slag from the walls of the plasma reactor in the areas with maximum temperatures, reaching 47%. The thusly produced synthesis gas can be used for synthesis of methanol, or as a high-calorific reducing gas instead of blast-furnace coke as well as power gas for thermal power plants. Reduced material of CMM can be used in metallurgy.

Keywords: gasification, mineral mass, organic mass, plasma, processing, solid fuel, synthesis gas, valuable components

Procedia PDF Downloads 604
5635 An Algorithm for Determining the Arrival Behavior of a Secondary User to a Base Station in Cognitive Radio Networks

Authors: Danilo López, Edwin Rivas, Leyla López

Abstract:

This paper presents the development of an algorithm that predicts the arrival of a secondary user (SU) to a base station (BS) in a cognitive network based on infrastructure, requesting a Best Effort (BE) or Real Time (RT) type of service with a determined bandwidth (BW) implementing neural networks. The algorithm dynamically uses a neural network construction technique using the geometric pyramid topology and trains a Multilayer Perceptron Neural Networks (MLPNN) based on the historical arrival of an SU to estimate future applications. This will allow efficiently managing the information in the BS, since it precedes the arrival of the SUs in the stage of selection of the best channel in CRN. As a result, the software application determines the probability of arrival at a future time point and calculates the performance metrics to measure the effectiveness of the predictions made.

Keywords: cognitive radio, base station, best effort, MLPNN, prediction, real time

Procedia PDF Downloads 325