Search results for: topic Detection
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 4796

Search results for: topic Detection

2396 Night Patrolling Robot for Suspicious Activity Detection

Authors: Amruta Amune, Rohit Agrawal, Yashashree Shastri, Syeda Zarah Aiman, Rutuja Rathi, Vaishnav Suryawanshi, Sameer Sumbhe

Abstract:

Every human being needs a sense of security. The requirement for security has risen in proportion with the population growth. However, because of a scarcity of resources, effective protection is not possible. It costs a lot of money to get appropriate security that not many can handle or afford. The goal of the study was to find a solution to the issue by developing a system capable of providing strong protection at a very low cost when long-term benefits are taken into account. The objective was to design and develop a robot that could travel around and survey the region and inform the command center if anything unusual was found. The system will be controlled manually on the server to find out its workplace's paths. The system is outfitted with a camera so that it can be used to capture built-in live video of the attacker and display it on the server.

Keywords: night patrolling, node MCU, server, security

Procedia PDF Downloads 158
2395 Drowning: An Emergency Department Guideline

Authors: Thomas P. Jones

Abstract:

Overview: Drowning is an important cause of accidental death, particularly in children and young people. Although many survive drowning incidents, it is a relatively rare presenting complaint in Emergency Departments. When cases do present, they can be complex and unpredictable. For patients to receive the best care, it is important that their management is standardized and evidence based, however this can be difficult in a topic area with limited studies and inconsistencies in case reporting. Objectives: To review recent cases to assess the performance of Manchester Royal Infirmary Emergency Department in the management of near drowning. To produce evidence based guideline on the management of drowning victims in the ED. Methods: Emergency department records were searched for patients with the diagnosis of ‘fatal drowning’ or ‘nearly drowning’ and two relevant case notes reviewed. To produce the guideline a literature review was conducted and a series of structured short cut systematic reviews known as Best BETs carried out. This information was used to produce a clear treatment pathway. Results: The case studies emphasized the variety in presentation of drowning victims whilst highlighting inconsistencies in management and documentation. An evidence-based guideline is presented as a flowchart, which illustrates the relevant investigations and treatment that victims of a drowning incident should receive, based on the best available evidence. Conclusion: It is hoped that when put into practice, the guideline will improve and standardize patient care in cases of near drowning. An audit is recommended to assess its effectiveness.

Keywords: drowning, near drowning, non fatal drowning, fatal drowning

Procedia PDF Downloads 205
2394 Artificial Nesting in Birds at UVAS-Ravi Campus: Punjab-Pakistan

Authors: Fatima Chaudhary, Rehan Ul Haq

Abstract:

Spatial and anthropogenic factors influencing nest-site selection in birds need to be identified for effective conservative practices. Environmental attributes such as food availability, predator density, previous reproductive success, etc., provide information regarding the site's quality. An artificial nest box experiment was carried out to evaluate the effect of various factors on nest-site selection, as it is hard to assess the natural cavities. The experiment was conducted whereby half of the boxes were filled with old nest material. Artificial nest boxes created with different materials and different sizes and colors were installed at different heights. A total of 14 out of 60 nest boxes were occupied and four of them faced predation. The birds explored a total of 32 out of 60 nests, whereas anthropogenic factors destroyed 25 out of 60 nests. Birds chose empty nest boxes at higher rates however, there was no obvious avoidance of sites having high ectoparasites load due to old nest material. It is also possible that the preference towards the artificial nest boxes may differ from year to year because of several climatic factors and the age of old nest material affecting the parasite's survival. These variables may fluctuate from one season to another. Considering these factors, nest-site selection experiments concerning the effectiveness of artificial nest boxes should be carried out over several successive seasons. This topic may stimulate further studies, which could lead to a fully understanding the birds' evolutionary ecology. Precise information on these factors influencing nest-site selection can be essential from an economic point of view as well.

Keywords: artificial nesting, nest box, old nest material, birds

Procedia PDF Downloads 93
2393 Sustainable Development of Medium Strength Concrete Using Polypropylene as Aggregate Replacement

Authors: Reza Keihani, Ali Bahadori-Jahromi, Timothy James Clacy

Abstract:

Plastic as an environmental burden is a well-rehearsed topic in the research area. This is due to its global demand and destructive impacts on the environment, which has been a significant concern to the governments. Typically, the use of plastic in the construction industry is seen across low-density, non-structural applications due to its diverse range of benefits including high strength-to-weight ratios, manipulability and durability. It can be said that with the level of plastic consumption experienced in the construction industry, an ongoing responsibility is shown for this sector to continually innovate alternatives for application of recycled plastic waste such as using plastic made replacement from polyethylene, polystyrene, polyvinyl and polypropylene in the concrete mix design. In this study, the impact of partially replaced fine aggregate with polypropylene in the concrete mix design was investigated to evaluate the concrete’s compressive strength by conducting an experimental work which comprises of six concrete mix batches with polypropylene replacements ranging from 0.5 to 3.0%. The results demonstrated a typical decline in the compressive strength with the addition of plastic aggregate, despite this reduction generally mitigated as the level of plastic in the concrete mix increased. Furthermore, two of the six plastic-containing concrete mixes tested in the current study exceeded the ST5 standardised prescribed concrete mix compressive strength requirement at 28-days containing 1.50% and 2.50% plastic aggregates, which demonstrated the potential for use of recycled polypropylene in structural applications, as a partial by mass, fine aggregate replacement in the concrete mix.

Keywords: compressive strength, concrete, polypropylene, sustainability

Procedia PDF Downloads 140
2392 Combined Localization, Beamforming, and Interference Threshold Estimation in Underlay Cognitive System

Authors: Omar Nasr, Yasser Naguib, Mohamed Hafez

Abstract:

This paper aims at providing an innovative solution for blind interference threshold estimation in an underlay cognitive network to be used in adaptive beamforming by secondary user Transmitter and Receiver. For the task of threshold estimation, blind detection of modulation and SNR are used. For the sake of beamforming several localization algorithms are compared to settle on best one for cognitive environment. Beamforming algorithms as LCMV (Linear Constraint Minimum Variance) and MVDR (Minimum Variance Distortion less) are also proposed and compared. The idea of just nulling the primary user after knowledge of its location is discussed against the idea of working under interference threshold.

Keywords: cognitive radio, underlay, beamforming, MUSIC, MVDR, LCMV, threshold estimation

Procedia PDF Downloads 582
2391 An Evaluation of Self-Esteem in Physically Disabled Adults Who Particapated in Sports

Authors: Ummuhan Bas Aslan, Sehmus Aslan

Abstract:

Objective: Physical disability includes impairments, activity limitations, and participation restrictions. Individuals with physical disabilities have lower self-esteem compared non-disabled people. Self-esteem is widely accepted as a key indicator of emotional stability and adjustment to life demands. There is very limited study to investigate the effect of sports on self-esteem in physically disabled people. The aim of the present study was to evaluate of self-esteem in physically disabled adults who participated in sports. Methods: Fifty physically disabled adults who participated in sports aged between 18 to 35 years participated in the study. Self-esteem of the participants was assessed by Rosenberg Self-Esteem Scale. The scale is a 10-item measure of global self-esteem. The higher score on the scale indicates greater self-esteem. Scores between 15 and 25 are the normal range of and scores below 15 suggest low self-esteem. Results: Average age of participants was 25.18±6.20 years. 58% of the participants were 23 (46.0%) of the participants were wheelchair users, 8 (16.0%) were mobile with a walking aid and 19 (38.0%) were mobile without a walking aid. The length of physically disabled adults had been participating in their sports (basketball: 54%, athleticism: 32%, volleyball: 6%, cycling: 6%) was 4.94±3.86 years. The average Rosenberg Self-Esteem Scale score of the participants was 21.88 ±4.34. Conclusions: Our results suggest that physically disabled adults who participated in sports have the healthy level of self-esteem. Participating in sports could have positive effects on self-esteem in that physically, disabled people. There is needed future comparative studies on this topic.

Keywords: adult, physical disability, self-esteem, sport

Procedia PDF Downloads 265
2390 Pilot Directional Protection Scheme Using Wireless Communication

Authors: Nitish Sharma, G. G. Karady

Abstract:

This paper presents a scheme for the protection of loop system from all type of faults using the direction of fault current. The presence of distributed generation in today’s system increases the complexity of fault detection as the power flow is bidirectional. Hence, protection scheme specific to this purpose needs to be developed. This paper shows a fast protection scheme using communication which can be fiber optic or wireless. In this paper, the possibility of wireless communication for protection is studied to exchange the information between the relays. The negative sequence and positive sequence directional elements are used to determine the direction of fault current. A PSCAD simulation is presented and validated using commercial SEL relays.

Keywords: smart grid protection, pilot protection, power system simulation, wireless communication

Procedia PDF Downloads 636
2389 Corruption and Anti-Corruption Policies: The Case of Iraq

Authors: Sarwan Hasan

Abstract:

This article is to investigate the main forms and causes of corruption and provides anti-corruption policies. It is significant to find out how both interact and affect each other. The research focuses particularly on the case study of Iraq from 2003 to 2023. In this way, the main methods of analysis will be the system approach to analyze the relationship of different elements of the political system of Iraq in the context of corruption, the process-tracing method to explain the reasons for corruption, and content analysis of the official documents important for the research topic. Moreover, the SWOT analysis will be used in the part about the anti-corruption policies. This article concludes that the main causes behind corruption in Iraq are power distribution based on muhassasa tayifiya (power apportionment based on ethno-sectarianism), decentralized political system, sectarian division, Iran, and socio-cultural structure. The main forms of corruption in the country are illegal enrichment, using public positions for sectarian agenda, criminal corruption, bribery, political patronage, clientelism, cronyism, nepotism, embezzlement, kickback, extortion, money laundry, speed money, theft, and justice obstruction. The main anti-corruption policies in Iraq are establishing the Commission of Integrity, Board of Supreme Audit, Inspectors General and Parliamentary Committee, Internalization (assistance from foreign actors), economic adjustment and financial reform, and the new anti-corruption program of the new Prime Minister (Mohamed Shiyah al-Sudani).

Keywords: anti-corruption, corruption, Iraq, anti-corruption policies

Procedia PDF Downloads 75
2388 Noise Detection Algorithm for Skin Disease Image Identification

Authors: Minakshi Mainaji Sonawane, Bharti W. Gawali, Sudhir Mendhekar, Ramesh R. Manza

Abstract:

People's lives and health are severely impacted by skin diseases. A new study proposes an effective method for identifying the different forms of skin diseases. Image denoising is a technique for improving image quality after it has been harmed by noise. The proposed technique is based on the usage of the wavelet transform. Wavelet transform is the best method for analyzing the image due to the ability to split the image into the sub-band, which has been used to estimate the noise ratio at the noisy image. According to experimental results, the proposed method presents the best values for MSE, PSNR, and Entropy for denoised images. we can found in Also, by using different types of wavelet transform filters is make the proposed approach can obtain the best results 23.13, 20.08, 50.7 for the image denoising process

Keywords: MSE, PSNR, entropy, Gaussian filter, DWT

Procedia PDF Downloads 215
2387 A Study of Police Culture Themes Towards the Public Among South African Police Service

Authors: Nkosingiphile M. Mbhele, Jean Steyn

Abstract:

A focus group discussion was implemented, which comprised of senior South African Police Service managers and police academics in South Africa. The measurement of solidarity, isolation, and cynicism among functional South African Police Service officials and a thirty-item questionnaire came about by reviewing the literature. This research uses a survey format to assess the police culture theme of solidarity, isolation, and cynicism among South African Police Service officers in 9 South African provinces. Although a survey format is used in research, it engages in a quasi-experimental pre-test/post-test repeated measures research (longitudinal) design. Although there are differences among South African Police Service police (SAPS) officers, overall, there are signs of solidarity, isolation, and cynicism among SAPS members. Attitudes of solidarity, isolation, and cynicism are present among most police officials and have been presented from the start of training and held, maintained, or strengthened for the next years of their SAPS careers. This issue is problematic to society with regard to community-orientated policing since they have to interact with the members of the community. To author’s best knowledge, longitudinal studies of police culture are rare to find; not much has been researched on this topic. However, this paper offers to bridge that gap by providing answers to longitudinal police attitudes towards the public within the police culture themes of isolation and cynicism attitudes.

Keywords: South African police service, police culture, solidarity, isolation, cynicism, public

Procedia PDF Downloads 151
2386 Detection of Change Points in Earthquakes Data: A Bayesian Approach

Authors: F. A. Al-Awadhi, D. Al-Hulail

Abstract:

In this study, we applied the Bayesian hierarchical model to detect single and multiple change points for daily earthquake body wave magnitude. The change point analysis is used in both backward (off-line) and forward (on-line) statistical research. In this study, it is used with the backward approach. Different types of change parameters are considered (mean, variance or both). The posterior model and the conditional distributions for single and multiple change points are derived and implemented using BUGS software. The model is applicable for any set of data. The sensitivity of the model is tested using different prior and likelihood functions. Using Mb data, we concluded that during January 2002 and December 2003, three changes occurred in the mean magnitude of Mb in Kuwait and its vicinity.

Keywords: multiple change points, Markov Chain Monte Carlo, earthquake magnitude, hierarchical Bayesian mode

Procedia PDF Downloads 456
2385 Features Reduction Using Bat Algorithm for Identification and Recognition of Parkinson Disease

Authors: P. Shrivastava, A. Shukla, K. Verma, S. Rungta

Abstract:

Parkinson's disease is a chronic neurological disorder that directly affects human gait. It leads to slowness of movement, causes muscle rigidity and tremors. Gait serve as a primary outcome measure for studies aiming at early recognition of disease. Using gait techniques, this paper implements efficient binary bat algorithm for an early detection of Parkinson's disease by selecting optimal features required for classification of affected patients from others. The data of 166 people, both fit and affected is collected and optimal feature selection is done using PSO and Bat algorithm. The reduced dataset is then classified using neural network. The experiments indicate that binary bat algorithm outperforms traditional PSO and genetic algorithm and gives a fairly good recognition rate even with the reduced dataset.

Keywords: parkinson, gait, feature selection, bat algorithm

Procedia PDF Downloads 545
2384 The Influence of Housing Choice Vouchers on the Private Rental Market

Authors: Randy D. Colon

Abstract:

Through a freedom of information request, data pertaining to Housing Choice Voucher (HCV) households has been obtained from the Chicago Housing Authority, including rent price and number of bedrooms per HCV household, community area, and zip code from 2013 to the first quarter of 2018. Similar data pertaining to the private rental market will be obtained through public records found through the United States Department of Housing and Urban Development. The datasets will be analyzed through statistical and mapping software to investigate the potential link between HCV households and distorted rent prices. Quantitative data will be supplemented by qualitative data to investigate the lived experience of Chicago residents. Qualitative data will be collected at community meetings in the Chicago Englewood neighborhood through participation in neighborhood meetings and informal interviews with residents and community leaders. The qualitative data will be used to gain insight on the lived experience of community leaders and residents of the Englewood neighborhood in relation to housing, the rental market, and HCV. While there is an abundance of quantitative data on this subject, this qualitative data is necessary to capture the lived experience of local residents effected by a changing rental market. This topic reflects concerns voiced by members of the Englewood community, and this study aims to keep the community relevant in its findings.

Keywords: Chicago, housing, housing choice voucher program, housing subsidies, rental market

Procedia PDF Downloads 118
2383 Design and Development of Automatic Onion Harvester

Authors: P. Revathi, T. Mrunalini, K. Padma Priya, P. Ramya, R. Saranya

Abstract:

During the tough times of covid, those people who were hospitalized found it difficult to always convey what they wanted to or needed to the attendee. Sometimes the attendees might also not be there. In that case, the patients can use simple hand gestures to control electrical appliances (like its set it for a zero watts bulb)and three other gestures for voice note intimation. In this AI-based hand recognition project, NodeMCU is used for the control action of the relay, and it is connected to the firebase for storing the value in the cloud and is interfaced with the python code via raspberry pi. For three hand gestures, a voice clip is added for intimation to the attendee. This is done with the help of Google’s text to speech and the inbuilt audio file option in the raspberry pi 4. All the 5 gestures will be detected when shown with their hands via a webcam which is placed for gesture detection. A personal computer is used for displaying the gestures and for running the code in the raspberry pi imager.

Keywords: onion harvesting, automatic pluging, camera, raspberry pi

Procedia PDF Downloads 198
2382 Sri Lankan Contribution to Peace and Security in the World: Legal Perspective

Authors: Muthukuda Arachchige Dona Shiroma Jeeva Shirajanie Niriella

Abstract:

Suppressing terrorism and ensuring peace and security of the people is one of the topics which have gained serious attention of the world community. Commissions of terrorist activities, locally and internationally lead to an uncertainty of peace and security, violations of human rights of the people. Thereby it demands stringent security laws and strong criminal justice systems, both at domestic and international levels. This paper intends to evaluate security laws in Sri Lanka through the criminal justice perspective, including their efficacy in relation to combat terrorism. The paper further intends to discuss the importance of such laws in upholding the peace and security at both local and universal levels. The paper argues that the term ‘efficacy’ does not stand for, sending people to jail at large-scale, but the ability to combat terrorism crime without violating the rights of the innocent people. The qualitative research method is followed to conduct this research which contains an extensive examination of security laws available as counter-terrorism laws in Sri Lanka with the relevant international standards adopted by the UN treaties. Primary sources which are relevant to the research, including judicial pronouncements are also discussed in this regard. Secondary sources such as reports, research articles and textbooks on this topic and information available on the internet are also reviewed in this analysis.

Keywords: terrorism, security laws, criminal justice system, Sri Lanka, international treaty law

Procedia PDF Downloads 384
2381 Students’ Online Forum Activities and Social Network Analysis in an E-Learning Environment

Authors: P. L. Cheng, I. N. Umar

Abstract:

Online discussion forum is a popular e-learning technique that allows participants to interact and construct knowledge. This study aims to examine the levels of participation, categories of participants and the structure of their interactions in a forum. A convenience sampling of one course coordinator and 23 graduate students was selected in this study. The forums’ log file and the Social Network Analysis software were used in this study. The analysis reveals 610 activities (including viewing forum’s topic, viewing discussion thread, posting a new thread, replying to other participants’ post, updating an existing thread and deleting a post) performed by them in this forum, with an average of 3.83 threads posted. Also, this forum consists of five at-risk participants, six bridging participants, four isolated participants and five leaders of information. In addition, the network density value is 0.15 and there exist five reciprocal interactions in this forum. The closeness value varied between 28 and 68 while the eigen vector centrality value varied between 0.008 and 0.39. The finding indicates that the participants tend to listen more rather than express their opinions in the forum. It was also revealed that those who actively provide supports in the discussion forum were not the same people who received the most responses from their peers. This study found that cliques do not exist in the forum and the participants are not selective to whom they response to, rather, it was based on the content of the posts made by their peers. Based upon the findings, further analysis with different method and population, larger sample size and a longer time frame are recommended.

Keywords: e-learning, learning management system, online forum, social network analysis

Procedia PDF Downloads 390
2380 Trajectory Planning Algorithms for Autonomous Agricultural Vehicles

Authors: Caner Koc, Dilara Gerdan Koc, Mustafa Vatandas

Abstract:

The fundamental components of autonomous agricultural robot design, such as having a working understanding of coordinates, correctly constructing the desired route, and sensing environmental elements, are the most important. A variety of sensors, hardware, and software are employed by agricultural robots to find these systems.These enable the fully automated driving system of an autonomous vehicle to simulate how a human-driven vehicle would respond to changing environmental conditions. To calculate the vehicle's motion trajectory using data from the sensors, this automation system typically consists of a sophisticated software architecture based on object detection and driving decisions. In this study, the software architecture of an autonomous agricultural vehicle is compared to the trajectory planning techniques.

Keywords: agriculture 5.0, computational intelligence, motion planning, trajectory planning

Procedia PDF Downloads 78
2379 The Effect of Microgrid on Power System Oscillatory Stability

Authors: Burak Yildirim, Muhsin Tunay Gencoglu

Abstract:

This publication shows the effects of Microgrid (MG) integration on the power systems oscillating stability. Generated MG model power systems were applied to the IEEE 14 bus test system which is widely used in stability studies. Stability studies were carried out with the help of eigenvalue analysis over linearized system models. In addition, Hopf bifurcation point detection was performed to show the effect of MGs on the system loadability margin. In the study results, it is seen that MGs affect system stability positively by increasing system loadability margin and has a damper effect on the critical modes of the system and the electromechanical local modes, but they make the damping amount of the electromechanical interarea modes reduce.

Keywords: Eigenvalue analysis, microgrid, Hopf bifurcation, oscillatory stability

Procedia PDF Downloads 291
2378 Transfer of Business Anti-Corruption Norms in Developing Countries: A Case Study of Vietnam

Authors: Candice Lemaitre

Abstract:

During the 1990s, an alliance of international intergovernmental and non-governmental organizations proposed a set of regulatory norms designed to reduce corruption. Many governments in developing countries, such as Vietnam, enacted these global anti-corruption norms into their domestic law. This article draws on empirical research to understand why these anti-corruption norms have failed to reduce corruption in Vietnam and many other developing countries. Rather than investigating state compliance with global anti-corruption provisions, a topic that has already attracted considerable attention, this article aims to explore the comparatively under-researched area of business compliance. Based on data collected from semi-structured interviews with business managers in Vietnam and archival research, this article examines how businesses in Vietnam interpret and comply with global anti-corruption norms. It investigates why different types of companies in Vietnam engage with and respond to these norms in different ways. This article suggests that global anti-corruption norms have not been effective in reducing corruption in Vietnam because there is fragmentation in the way companies in Vietnam interpret and respond to these norms. This fragmentation results from differences in the epistemic (or interpretive) communities that companies draw upon to interpret global anti-corruption norms. This article uses discourse analysis to understand how the communities interpret global anti-corruption norms. This investigation aims to generate some predictive insights into how companies are likely to respond to anti-corruption regimes based on global anti-corruption norms.

Keywords: anti-corruption, business law, legal transfer, Vietnam

Procedia PDF Downloads 158
2377 Curvelet Features with Mouth and Face Edge Ratios for Facial Expression Identification

Authors: S. Kherchaoui, A. Houacine

Abstract:

This paper presents a facial expression recognition system. It performs identification and classification of the seven basic expressions; happy, surprise, fear, disgust, sadness, anger, and neutral states. It consists of three main parts. The first one is the detection of a face and the corresponding facial features to extract the most expressive portion of the face, followed by a normalization of the region of interest. Then calculus of curvelet coefficients is performed with dimensionality reduction through principal component analysis. The resulting coefficients are combined with two ratios; mouth ratio and face edge ratio to constitute the whole feature vector. The third step is the classification of the emotional state using the SVM method in the feature space.

Keywords: facial expression identification, curvelet coefficient, support vector machine (SVM), recognition system

Procedia PDF Downloads 232
2376 Encouraging the Development of Scientific Literacy in Early Childhood Institutions: Croatian Experience

Authors: L. Vujičić, Ž. Ivković, Ž. Boneta

Abstract:

There is a widespread belief in everyday discourse that science subjects (physics, chemistry and biology) are, along with math, the most difficult school subjects in the education of an individual. This assumption is usually justified by the following facts: low GPA in these subjects, the number of pupils who fail these subjects is high in comparison to other subjects, and the number of pupils interested in continuing their studies in the fields with a focus on science subjects is lower compared to non-science-oriented fields. From that perspective, the project: “Could it be different? How do children explore it?” becomes extremely interesting because it is focused on young children and on the introduction of new methods, with aim of arousing interest in scientific literacy development in 10 kindergartens by applying the methodology of an action research, with an ethnographic approach. We define scientific literacy as a process of encouraging and nurturing the research and explorative spirit in children, as well as their natural potential and abilities that represent an object of scientific research: to learn about exploration by conducting exploration. Upon project completion, an evaluation questionnaire was created for the parents of the children who had participated in the project, as well as for those whose children had not been involved in the project. The purpose of the first questionnaire was to examine the level of satisfaction with the project implementation and its outcomes among those parents whose children had been involved in the project (N=142), while the aim of the second questionnaire was to find out how much the parents of the children not involved (N=154) in this activity were interested in this topic.

Keywords: documenting, early childhood education, evaluation questionnaire for parents, scientific literacy development

Procedia PDF Downloads 253
2375 Robust Adaptation to Background Noise in Multichannel C-OTDR Monitoring Systems

Authors: Andrey V. Timofeev, Viktor M. Denisov

Abstract:

A robust sequential nonparametric method is proposed for adaptation to background noise parameters for real-time. The distribution of background noise was modelled like to Huber contamination mixture. The method is designed to operate as an adaptation-unit, which is included inside a detection subsystem of an integrated multichannel monitoring system. The proposed method guarantees the given size of a nonasymptotic confidence set for noise parameters. Properties of the suggested method are rigorously proved. The proposed algorithm has been successfully tested in real conditions of a functioning C-OTDR monitoring system, which was designed to monitor railways.

Keywords: guaranteed estimation, multichannel monitoring systems, non-asymptotic confidence set, contamination mixture

Procedia PDF Downloads 430
2374 Multiscale Connected Component Labelling and Applications to Scientific Microscopy Image Processing

Authors: Yayun Hsu, Henry Horng-Shing Lu

Abstract:

In this paper, a new method is proposed to extending the method of connected component labeling from processing binary images to multi-scale modeling of images. By using the adaptive threshold of multi-scale attributes, this approach minimizes the possibility of missing those important components with weak intensities. In addition, the computational cost of this approach remains similar to that of the typical approach of component labeling. Then, this methodology is applied to grain boundary detection and Drosophila Brain-bow neuron segmentation. These demonstrate the feasibility of the proposed approach in the analysis of challenging microscopy images for scientific discovery.

Keywords: microscopic image processing, scientific data mining, multi-scale modeling, data mining

Procedia PDF Downloads 435
2373 The Using of Hybrid Superparamagnetic Magnetite Nanoparticles (Fe₃O₄)- Graphene Oxide Functionalized Surface with Collagen, to Target the Cancer Stem Cell

Authors: Ahmed Khalaf Reyad Raslan

Abstract:

Cancer stem cells (CSCs) describe a class of pluripotent cancer cells that behave analogously to normal stem cells in their ability to differentiate into the spectrum of cell types observed in tumors. The de-differentiation processes, such as an epithelial-mesenchymal transition (EMT), are known to enhance cellular plasticity. Here, we demonstrate a new hypothesis to use hybrid superparamagnetic magnetite nanoparticles (Fe₃O₄)- graphene oxide functionalized surface with Collagen to target the cancer stem cell as an early detection tool for cancer. We think that with the use of magnetic resonance imaging (MRI) and the new hybrid system would be possible to track the cancer stem cells.

Keywords: hydrogel, alginate, reduced graphene oxide, collagen

Procedia PDF Downloads 145
2372 Designing a Legal Framework for Social Innovation

Authors: Prapin Nuchpiam

Abstract:

The importance of social innovation has become increasingly significant as the process of developing effective solutions to social problems and being a force of change for people’s better quality of life. In order to promote social innovation, active collaboration between government, business organizations, and the civil society sector is needed. A proper legal framework also plays an important role in building the social innovation ecosystem. Currently, there is no specific law designed for social innovation or a so-called “social innovation law”. One of the legal frameworks for social innovation is the development of hybrid legal forms for social enterprises such as the UK’s Community Interest Company (CIC), the US’s Low-Profit Limited Liability Company (L3C) and the US’s Benefit Corporation (B-Corp), among others. This is because social enterprise is recognized as an organizational form of social innovation with its aim for social benefit goals and the achievement of financial sustainability. Nonetheless, there has been a debate over the differences and similarities between social innovation and social enterprise. Thus, social enterprise law might not fit well with social innovation, resulting in a search for a legal framework specially designed for social innovation. This paper aims to study the interrelationship between social innovation, social enterprise, and the role of law to see whether we need a specific law for social innovation. If so, what should such a legal framework look like? The paper will provide a critical analysis of innovative legal forms for social enterprise as a type of social innovation law. A proper legal framework for social innovation could help promote the sector, which could result in finding new solutions to social problems. It will also bring about a greater common understanding of the exciting development of legal scholarship in this way, which will, in turn, serve as a productive basis or direction for further research on this increasingly important topic.

Keywords: social innovation, social enterprise, legal framework, regulation

Procedia PDF Downloads 95
2371 Application of an Artificial Neural Network to Determine the Risk of Malignant Tumors from the Images Resulting from the Asymmetry of Internal and External Thermograms of the Mammary Glands

Authors: Amdy Moustapha Drame, Ilya V. Germashev, E. A. Markushevskaya

Abstract:

Among the main problems of medicine is breast cancer, from which a significant number of women around the world are constantly dying. Therefore, the detection of malignant breast tumors is an urgent task. For many years, various technologies for detecting these tumors have been used, in particular, in thermal imaging in order to determine different levels of breast cancer development. These periodic screening methods are a diagnostic tool for women and may have become an alternative to older methods such as mammography. This article proposes a model for the identification of malignant neoplasms of the mammary glands by the asymmetry of internal and external thermal imaging fields.

Keywords: asymmetry, breast cancer, tumors, deep learning, thermogram, convolutional transformation, classification

Procedia PDF Downloads 60
2370 The Empowerment of Reminiscence Group Play Therapy for Older People in Taiwan

Authors: Jiun-De Lin

Abstract:

The main purpose of this study was to investigate the empowerment effect of the older people through a structured reminiscence play therapeutic group program in Changhua county of Taiwan. This program was used Taiwanese traditional culture as the main concept based on the topic of reminiscence. In order to assimilate into the process for older people, thematic group activities were easy to operate. During the reminiscence play activities, they would improve their personal control and competence, the same as empowerment. A counselor who acted as a group leader led 10 elderly people participated in this reminiscence group play therapy. The participants of the study were 10 older people consisting of 7 males and 3 females who lived in a rehabilitation center in Changhua county of Taiwan. The participants’ average age was 72.5 years old. The study adopted the methods of survey research and the instruments in this study included subjects’ demographic information and the empowerment inventory for adults. A one-group pretest-posttest design was adopted by researchers to test the study hypothesis. The collected data were analyzed by descriptive statistics, and Wilcoxon matched paired signed-ranks test. The main finding of this study was that the reminiscence group play therapy had a significant effect (Z= 2.382, p < .05) to promote the state of empowerment of older people participated in this group play therapy. Based on the conclusion of this study, the suggestions and implications were proposed for the practices and future research.

Keywords: empowerment, group play therapy, older people, reminiscence

Procedia PDF Downloads 153
2369 The Effect of Exercise on the Mental Health of Elderly People

Authors: Vivek Kumar

Abstract:

The effects of physical activity on the human body have been well understood. It just not only keeps us healthy and away from many diseases but also helpful in delay ageing. Those who exercise every day are physically as well as mentally strong. As the age advance, we often see that there is a loss of memory in the elderly people and their retention power weaken with time. The association between physical health and mental health of elderly people nowadays is an important topic of research. Many people at their old age who all were suffering from Alzheimer or Parkinson disease or were at the stage of dementia have been benefited significantly on exercise at daily basis. We would conduct a randomized control trial, where we will select a number of old age people (65 years old or above). These selected old age people will have some sorts of mental illness and currently receiving treatment for the same. We will divide them into 3 groups. The first group of people will receive their normal treatment i.e. taking medicines. The second group of people will receive medicine as well as will do exercise for 45 minutes every day in the early morning, the 3rd group of people will do exercise everyday for 45 minutes but will be given placebo instead of medicine. All the member of these groups will be monitored carefully for 6 months of time and making this sure that all the members of the group are taking medicines or doing exercise according to the group they belong to. The mental status of all the participants will be measured; the data will be analyzed accordingly. Expected results- This research will be helpful in establishing the effect of exercise on the mental health of the old age people. Also, it will be examined that whether the medicines along with regular exercise for can months can cure the mental illness significantly.

Keywords: mental health, elderly people, physical activity, randomized control trial

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2368 Tool Development for Assessing Antineoplastic Drugs Surface Contamination in Healthcare Services and Other Workplaces

Authors: Benoit Atge, Alice Dhersin, Oscar Da Silva Cacao, Beatrice Martinez, Dominique Ducint, Catherine Verdun-Esquer, Isabelle Baldi, Mathieu Molimard, Antoine Villa, Mireille Canal-Raffin

Abstract:

Introduction: Healthcare workers' exposure to antineoplastic drugs (AD) is a burning issue for occupational medicine practitioners. Biological monitoring of occupational exposure (BMOE) is an essential tool for assessing AD contamination of healthcare workers. In addition to BMOE, surface sampling is a useful tool in order to understand how workers get contaminated, to identify sources of environmental contamination, to verify the effectiveness of surface decontamination way and to ensure monitoring of these surfaces. The objective of this work was to develop a complete tool including a kit for surface sampling and a quantification analytical method for AD traces detection. The development was realized with the three following criteria: the kit capacity to sample in every professional environment (healthcare services, veterinaries, etc.), the detection of very low AD traces with a validated analytical method and the easiness of the sampling kit use regardless of the person in charge of sampling. Material and method: AD mostly used in term of quantity and frequency have been identified by an analysis of the literature and consumptions of different hospitals, veterinary services, and home care settings. The kind of adsorbent device, surface moistening solution and mix of solvents for the extraction of AD from the adsorbent device have been tested for a maximal yield. The AD quantification was achieved by an ultra high-performance liquid chromatography method coupled with tandem mass spectrometry (UHPLC-MS/MS). Results: With their high frequencies of use and their good reflect of the diverse activities through healthcare, 15 AD (cyclophosphamide, ifosfamide, doxorubicin, daunorubicin, epirubicin, 5-FU, dacarbazin, etoposide, pemetrexed, vincristine, cytarabine, methothrexate, paclitaxel, gemcitabine, mitomycin C) were selected. The analytical method was optimized and adapted to obtain high sensitivity with very low limits of quantification (25 to 5000ng/mL), equivalent or lowest that those previously published (for 13/15 AD). The sampling kit is easy to use, provided with a didactic support (online video and protocol paper). It showed its effectiveness without inter-individual variation (n=5/person; n= 5 persons; p=0,85; ANOVA) regardless of the person in charge of sampling. Conclusion: This validated tool (sampling kit + analytical method) is very sensitive, easy to use and very didactic in order to control the chemical risk brought by AD. Moreover, BMOE permits a focal prevention. Used in routine, this tool is available for every intervention of occupational health.

Keywords: surface contamination, sampling kit, analytical method, sensitivity

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2367 Automatic Segmentation of the Clean Speech Signal

Authors: M. A. Ben Messaoud, A. Bouzid, N. Ellouze

Abstract:

Speech Segmentation is the measure of the change point detection for partitioning an input speech signal into regions each of which accords to only one speaker. In this paper, we apply two features based on multi-scale product (MP) of the clean speech, namely the spectral centroid of MP, and the zero crossings rate of MP. We focus on multi-scale product analysis as an important tool for segmentation extraction. The multi-scale product is based on making the product of the speech wavelet transform coefficients at three successive dyadic scales. We have evaluated our method on the Keele database. Experimental results show the effectiveness of our method presenting a good performance. It shows that the two simple features can find word boundaries, and extracted the segments of the clean speech.

Keywords: multiscale product, spectral centroid, speech segmentation, zero crossings rate

Procedia PDF Downloads 500