Academic literature on the topic 'The CI Network'
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Journal articles on the topic "The CI Network"
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Rajendran, A., and P. Neelamegam. "Dielectric Constant Measurement Using an Artificial Neural Network." Instrumentation Science & Technology 32, no. 4 (December 27, 2004): 413–22. http://dx.doi.org/10.1081/ci-120037673.
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Nagisetty, Balaji Ganesh, and Sri Hari Podala Venkata. "Sequential Procedure for Improving the Efficiency of CI Engine by Using Artificial Neural Networks." International Journal of Heat and Technology 38, no. 4 (December 31, 2020): 949–59. http://dx.doi.org/10.18280/ijht.380422.
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This work provides a sequential approach to improve efficiency of Combustion Ignition engines which involves both performance and emissions by using the artificial neural network (ANN). In recent years continuous work is going on for improving the output and reducing the emissions especially for Combustion Ignition engines which are mostly used for transportation purposes. In view of the above, the experimental data of a four stroke Combustion Ignition engine is taken as reference. However, the experimental data is split into three categories as input data, target data and output data in neural networks. All these data are trained using neural network toolbar in MATLAB with ten hidden layers by which error deviation are calculated, in order to reduce error deviation between neural network and experimental values, design of inlet manifolds is varied and performance parameters along with emissions is calculated and compared with neural network values. The results showed minimum error over the emission and performance parameters of CI engines from the manifold designs and ANN model. These results provide a sequential approach to improve efficiency of Combustion Ignition engines with the help of neural networks.
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Liu, Renyuan, Wenhui Wu, Qing Ye, Yucheng Gu, Junhui Zou, Xin Chen, Yongcheng Jiang, Feng Bai, Yun Xu, and Chun Wang. "Distinctive and Pervasive Alterations of Functional Brain Networks in Cerebral Small Vessel Disease with and without Cognitive Impairment." Dementia and Geriatric Cognitive Disorders 47, no. 1-2 (2019): 55–67. http://dx.doi.org/10.1159/000496455.
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Objective: To explore the within- and between-network patterns of the default mode network (DMN), the frontoparietal control network (FPCN), and the dorsal attention network (DAN) in cerebral small vessel disease (CSVD) with and without cognitive impairment (CI). Methods: Twenty CSVD with CI subjects, 21 CSVD without CI subjects, and 25 healthy elderly controls were recruited. The within- and between-network patterns of the networks were identified based on resting-state functional magnetic resonance imaging data. Results: Compared with the control group, both the CSVD with CI group and the CSVD without CI group displayed decreased within-network function of the DMN and lower negative connectivity between the DMN and other networks (i.e., DMN and DAN, DMN and FPCN), whereas the CSVD with CI group additionally showed within- and between-network alterations of the FPCN (i.e., increased within-network function of the FPCN and lower negative connectivity between the FPCN and the DMN). Furthermore, these alterations of the FPCN were correlated with the cognitive function of CSVD subjects. Interestingly, the between-network connectivity of the FPCN and the DMN was negatively correlated with deep white matter hyperintensities (DWMH) volume in CSVD subjects. Conclusion: These findings suggest that cognitive alterations of CSVD subjects may be mainly regulated by the FPCN that correlates with DWMH burden, and shed light on the investigation of surrogate markers of CSVD.
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Nukavarapu, N., and S. Durbha. "HEALTHCARE CRITICAL INFRASTRUCTURE STOCHASTIC INTERDEPENDENCIES SIMULATION MODEL FOR SMART CITIES: FLOOD DISASTER SCENARIO." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 123–29. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-123-2020.
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Abstract. Healthcare Critical Infrastructure (HCI) is not an independent network; the operation of a healthcare facility depends on many other Critical Infrastructure (CI) networks such as electric supply CI, water supply CI, etc., forming an interdependent CI network. During a flooding disaster event, as the flood levels rise, the interdependent HCI network becomes vulnerable. A failure in one of the CI results in failure of the dependent CI. During a disaster event such as flooding, the failures propagate and cause cascading failures like a domino effect. The paper proposes an IoT based flood sensor network integrated with a stochastic Petri net interdependent healthcare critical infrastructure network simulation model. An IoT (Internet of Things) based flood water level sensor network can deliver real-time information on the flood conditions at the various interdependent CI facilities in the interdependent network, using the Sensor Observation Services (SOS). The Stochastic Petri Net (SCPN) based interdependent Healthcare Critical Infrastructure (HCI) simulation model, is used to model and simulate the stochastic interdependencies between the interdependent HCI networks. The real-time flood sensor network is integrated with the SCPN based interdependent HCI simulation model. The end to end system is developed in a spatiotemporal environment. This kind of an integrated simulation model will help the end-user to understand system dynamics in real-time, visualize and predict the propagation of cascading failure scenarios in an Interdependent HCI network in a spatiotemporal environment, during a flooding scenario. Real-time information simulation would help disaster response personnel to respond to the question, ‘what if something else happens?
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Islam, Md Shahidul. "Social networks and their effects on the choice of contraceptive use and method in Bangladesh." International Journal of Human Rights in Healthcare 13, no. 1 (July 23, 2019): 58–71. http://dx.doi.org/10.1108/ijhrh-07-2018-0045.
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Purpose The purpose of this paper is to examine the effects of social networks on contraceptive adoption in Bangladesh. Design/methodology/approach Data were collected from 430 couples; the age of men was between 15 and 49 years. χ2 test was applied to test the association between independent variables and current contraceptive use. Binary logistic regression was applied to examine the effects of social network on contraceptive use, and multinomial logistic regression was applied to examine the effect of social network on the choice of method. Findings Results from binary logistic regression reveal that social networks of both men (OR=2.71, 95% CI=1.371−5.354) and women (OR= 3.597, 95% CI=1.754−7.380) had a strong positive effect on current contraceptive use. The result from multinomial logistic regression also shows that men’s social network (OR= 2.74, 95% CI= 1.356−5.548) and women’s social network (OR=4.165,95% CI=1.958−8.860) were also associated with choosing a modern contraceptive method. Originality/value Social networks have a significant effect on current contraceptive use and modern method choice in Bangladesh. A social network approach should be included in family planning program in Bangladesh.
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Neelamegam, P., and A. Rajendran. "Classification of Surface Roughness and Distance Measurement Using Artificial Neural Network." Instrumentation Science & Technology 31, no. 4 (January 12, 2003): 417–23. http://dx.doi.org/10.1081/ci-120025576.
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Ma, Yang, Guangquan Cheng, Zhong Liu, and Xingxing Liang. "Clustering-based link prediction in scientific coauthorship networks." International Journal of Modern Physics C 28, no. 06 (May 7, 2017): 1750082. http://dx.doi.org/10.1142/s0129183117500826.
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Link prediction in social networks has become a growing concern among researchers. In this paper, the clustering method was used to exploit the grouping tendency of nodes, and a clustering index (CI) was proposed to predict potential links with characteristics of scientific cooperation network taken into consideration. Results showed that CI performed better than the traditional indices for scientific coauthorship networks by compensating for their disadvantages. Compared with traditional algorithms, this method for a specific type of network can better reflect the features of the network and achieve more accurate predictions.
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Mlecnik, Erwin. "Which factors determine the success of strategic niche developments?" Construction Innovation 14, no. 1 (January 6, 2014): 36–51. http://dx.doi.org/10.1108/ci-01-2012-0007.
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Purpose – The study ' s purpose is to review and discuss limitations of “strategic niche management” (SNM) success factors in relation to the experiences of an enterprise network to improve niche development for integrated design concepts. Design/methodology/approach – The emergence of a successful passive house innovation network in the Flemish Region is described. The innovation journey of the network is related to success factors detected in SNM literature regarding market niche development. Findings – The study identifies additional success factors for systemic innovation, such as involving small- and medium-sized innovators and demonstration projects and using a dedicated regional enterprise network. Research limitations/implications – The qualitative analysis specifically reflected on SNM success factors such as envisioning, learning, and network composition and formation. The study confirms the importance of these success factors by means of one detailed innovation journey. It identifies additional success factors and discusses opportunities to improve the relation of SNM literature with other seminal fields. Practical implications – Government seed money is important in providing a breakthrough in enterprise network initiatives. A focus on architectural innovation instead of technology innovation is to be preferred for stimulating integrated design concepts. Originality/value – The paper addresses the relevance and limitations of SNM success factors during the formation of enterprise networks. The study shows how an integrated design approach was used to cluster innovation opportunities and to inspire innovation development and collaboration for know-how development between multiple players.
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Kroenke, Candyce H., Yvonne Michael, Xiao-Ou Shu, Elizabeth Poole, Marilyn L. Kwan, Bette J. Caan, Sarah Nechuta, John P. Pierce, and Wendy Y. Chen. "Postdiagnosis social networks and lifestyle and treatment mechanisms in the Ater Breast Cancer Pooling Project (ABCPP)." Journal of Clinical Oncology 32, no. 26_suppl (September 10, 2014): 115. http://dx.doi.org/10.1200/jco.2014.32.26_suppl.115.
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115 Background: Larger social networks have been associated with better breast cancer survival. To investigate potential mediators, we evaluated associations of social network size and diversity with lifestyle and treatment factors associated with prognosis. Methods: We included 9,331 women from the After Breast Cancer Pooling Project who provided data on social networks within two years following diagnosis. A social network index was derived from information about the presence of a spouse or intimate partner, religious ties, community participation, friendship ties, and numbers of relatives. Diversity was assessed as variety of ties, independent of size. We used logistic regression to evaluate associations with outcomes and evaluated whether effect estimates differed using meta-analytic techniques. Results: Associations of social networks and outcomes generally did not differ by cohort. Because of the low prevalence of smoking and alcohol consumption in the Shanghai cohort, however, analyses of smoking and alcohol included US cohorts only. Women who were socially isolated (small networks) were more likely to be obese (body mass index>30 kg/m2, OR=1.21, 95% CI:1.03-1.42) and have low physical activity (<10 MET-h/wk, OR=1.53, 95% CI:1.34-1.75) compared to socially integrated women. Women with low network diversity were more likely to be current smokers (OR=3.68, 95% CI:2.19-6.19) and have high alcohol consumption (>15 g/d alcohol, OR=2.43, 95% CI:1.60-3.69). Among node positive cases, socially isolated women were more likely not to receive chemotherapy (OR=1.52, 95% CI:1.03-2.25). By contrast, low network diversity, but not social network size, was associated with greater odds of not receiving adjuvant hormonal therapy (OR=1.52, 95% CI:1.03-2.23). Associations with surgery were nonsignificant. Conclusions: In a large pooled cohort, small, less diverse social networks measured post-diagnosis were associated with more adverse lifestyle factors and less intensive cancer treatment, which may help to explain poorer breast cancer prognosis in socially isolated women.
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Sawka, Keri Jo, Gavin R. McCormack, Alberto Nettel-Aguirre, Anita Blackstaffe, Rosemary Perry, and Penelope Hawe. "Associations between Aspects of Friendship Networks, Physical Activity, and Sedentary Behaviour among Adolescents." Journal of Obesity 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/632689.
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Background.Adolescent friendships have been linked to physical activity levels; however, network characteristics have not been broadly examined.Method.In a cross-sectional analysis of 1061 adolescents (11–15 years), achieving 60 minutes/day of moderate-to-vigorous physical activity (MVPA) and participating in over 2 hours/day of sedentary behaviour were determined based on friendship network characteristics (density; proportion of active/sedentary friends; betweenness centrality; popularity; clique membership) and perceived social support.Results.Adolescents with no friendship nominations participated in less MVPA. For boys and girls, a ten percent point increase in active friends was positively associated with achievement of 60 minutes/day of MVPA (OR 1.11; 95% CI 1.02–1.21, OR 1.14; 95% CI 1.02–1.27, resp.). For boys, higher social support from friends was negatively associated with achieving 60 minutes/day of MVPA (OR 0.63; 95% CI 0.42–0.96). Compared with low density networks, boys in higher density networks were more likely to participate in over 2 hours/day of sedentary behaviour (OR 2.93; 95% CI 1.32–6.49). Social support from friends also modified associations between network characteristics and MVPA and sedentary behaviour.Conclusion.Different network characteristics appeared to have different consequences. The proportion of active close friends was associated with MVPA, while network density was associated with sedentary behaviour. This poses challenges for intervention design.
Dissertations / Theses on the topic "The CI Network"
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Skoumal, David. "Využití sociálních sítí v Competitive Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-124687.
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Main thesis objective is in social network analysis. Theoretic will describe their origin, development and circumstances under which certain social networks were built. Part with analysis will concern in how to compete with business rivals using CI and will search techniques for proper facebook usage as a company's CI tool by rating of chosen fan facebook pages.
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Wang, Li. "Online Communities of Practice: A Case Study of The CI Network from A Communicative Perspective." Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1273170599.
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Ferreira, Ra?sa Fernandes. "Transexualidade, rede de apoio e suas multiplicidades: do acolhimento ao protagonismo." Universidade Federal Rural do Rio de Janeiro, 2016. https://tede.ufrrj.br/jspui/handle/jspui/1567.
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2016 - Ra?sa Fernandes Ferreira.pdf: 863288 bytes, checksum: 1540241001627753a7a2e00a767aa319 (MD5)Made available in DSpace on 2017-05-02T17:22:19Z (GMT). No. of bitstreams: 1 2016 - Ra?sa Fernandes Ferreira.pdf: 863288 bytes, checksum: 1540241001627753a7a2e00a767aa319 (MD5) Previous issue date: 2016-04-08
Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES
This research aims to understand the role of support network and their effects on processes of subjectivization of transgender people, called here also people who move between genders, and legitimize singular modes of existence. From the genealogic perspective, deconstrucs the scientific discourse that engendered transexuality as a mental disorder, as well as questions the treatments and medical-legal procedures forged to deal with gender expressions that differ from alleged established normality. Cartography, taken as a methodological approach, helped the insertion in the field, that occurred in Grupo TransRevolu??o, in Rio de Janeiro. Through the use of the term support network, already used by people informally, it is possible to understand the dynamics of group, the meetings that enables, constituting a speech space, listening, horizontality, production of care for the self and the others, and also where the activism is organized.
A presente pesquisa visa conhecer o papel da rede de apoio e seus efeitos nos processos de subjetiva??o e constru??o de si das pessoas travestis e transexuais, chamadas aqui tamb?m de pessoas que transitam entre g?neros, e legitimar modos singulares de exist?ncia. A partir da perspectiva geneal?gica, desconstr?i os discursos cient?ficos que engendraram a transexualidade como transtorno mental, assim como questiona os tratamentos e procedimentos m?dico-jur?dicos forjados para lidar com express?es de g?nero que divergem da suposta normalidade institu?da. A cartografia, assumida como postura metodol?gica, auxiliou na inser??o no campo, que se deu atrav?s das idas ao grupo carioca TransRevolu??o. Atrav?s da utiliza??o do termo rede de apoio, j? usado por algumas pessoas de modo informal, ? poss?vel compreender a din?mica do grupo, os encontros que este possibilita, constituindo um espa?o de fala, escuta, horizontalidade, produ??o de cuidado de si e do outro, e tamb?m local onde o ativismo se organiza.
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Silveira, Murilo Artur Ara?jo da. "Rede de textos cient?ficos: um estudo sob a ?tica da institucionaliza??o da Ci?ncia da Informa??o no Brasil." Pontif?cia Universidade Cat?lica de Campinas, 2008. http://tede.bibliotecadigital.puc-campinas.edu.br:8080/jspui/handle/tede/811.
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Previous issue date: 2008-02-11Pontif?cia Universidade Cat?lica de Campinas
This dissertation studies the scientific research institutionalization of the Information Science in Brazil through the Ci?ncia da Informa??o journal. The general objective of this research is to investigate the social and cognitive institutionalization of the Information Science based on the scientific articles written in the Ci?ncia da Informa??o journal online, from 1995 to 2005, with the purpose to supply scientific indicators to a better understanding of the area. The specific objectives are: to chart the scientific texts network developed through the Ci?ncia da Informa??o journal, from the articles and their citations; and to distinct the thematic tendencies and the research front in Information Science, referring to scientific articles of the Ci?ncia da Informa??o journal. To debate the differences and the relations between constitution and institutionalization of the scientific discipline, the conceptual and social operations of this constitution, and the cognitive and social perspectives of the science institutionalization. It presents a theoric board of references in Information Science, focusing the object of study, the theoric basis, the characteristics, the interdisciplinary relations and the polemic and controversial issues, from texts that are very important to the area. It reviews the specific literature about the production, dissemination and use cycle of the information, distincting the scientific ethos, the scientific journal and its function, characteristics and evaluation process, and the scientific article and its functions and categorizations. It also approaches the citation and the relations of the scientific knowledge construction, as well as the finality of the citation studies and the scientific texts network that is visualized through the citation and references mechanisms. It uses the scienciometric method and the citation analysis, the subject analysis and the cartographic representations as techniques. It constitutes a descriptive and exploratory research according to its objective and methodological procedures for the bibliographical. The research s main results are: thematic tendencies are directed to the information management, mediation, circulation and use of information, and evaluation of the scientific production; the concentration of books and articles as sources of citations and gradual growth of the Internet webpage, each year; and the distinction of the more citation authors by thematic field, through ANCIB s work groups. It reveals that from the scientific article and its citations it is possible to obtain satisfactory results about the scientific texts network development, the thematic tendencies and the contribution of the scientific authors, as well to visualize the scientific activity institutionalization level. Therefore, its affirms that, from the Ci?ncia da Informa??o journal, the Information Science in Brazil meets in institutionalization ways.
An?lise da institucionaliza??o da pesquisa cient?fica da Ci?ncia da Informa??o no Brasil atrav?s do peri?dico Ci?ncia da Informa??o. O objetivo geral da pesquisa ? investigar a institucionaliza??o social e cognitiva da Ci?ncia da Informa??o com base nos artigos cient?ficos do peri?dico Ci?ncia da Informa??o em meio eletr?nico, no per?odo de 1995 a 2005, com o prop?sito de fornecer indicadores cient?ficos para compreens?o da ?rea. T?m-se como objetivos espec?ficos: mapear a rede de textos cient?ficos formada atrav?s do peri?dico Ci?ncia da Informa??o, a partir dos artigos de peri?dicos e suas cita??es; e destacar as tend?ncias tem?ticas e a frente de pesquisa em Ci?ncia da Informa??o, referente aos artigos cient?ficos do peri?dico Ci?ncia da Informa??o. Discute as diferen?as e rela??es entre constitui??o e institucionaliza??o de uma disciplina cient?fica, as opera??es conceituais e sociais da constitui??o e as perspectivas cognitiva e social de institucionaliza??o de uma ci?ncia. Apresenta um quadro te?rico de refer?ncias da Ci?ncia da Informa??o, enfocando o objeto de estudo, as bases hist?ricas, as caracter?sticas, as rela??es interdisciplinares e as quest?es pol?micas e controversas, a partir de textos importantes para a ?rea. Revisa a literatura espec?fica sobre o ciclo de produ??o, dissemina??o e uso da informa??o, dando destaque ao etos cient?fico; ao peri?dico cient?fico e suas fun??es, caracter?sticas e processo de avalia??o; e ao artigo cient?fico e suas fun??es e categoriza??es. Aborda a cita??o e as rela??es com a constru??o do conhecimento cient?fico, como tamb?m a finalidade dos estudos de cita??o e a rede de textos cient?ficos que se visualiza atrav?s dos mecanismos de cita??o e refer?ncia. Utiliza o m?todo cienciom?trico e a an?lise de cita??o, a an?lise de assunto e as representa??es cartogr?ficas como t?cnicas. Constitui-se como pesquisa descritiva e explorat?ria segundo seus objetivos e, segundo os procedimentos metodol?gicos pela bibliogr?fica. Os principais resultados da pesquisa s?o: tend?ncias tem?ticas voltadas para gest?o da informa??o, media??o, circula??o e uso da informa??o e avalia??o da produ??o cient?fica; concentra??o de artigos e livros como fontes citadas e o crescimento gradual da p?gina de Internet, a cada ano; e destaque para os autores mais citados por recortes tem?ticos do campo, atrav?s dos grupos de trabalho da ANCIB. Revela-se que do artigo cient?fico e suas cita??es ? poss?vel obter resultados satisfat?rios sobre a forma??o de redes de textos cient?ficos, as tend?ncias tem?ticas e as contribui??es dos atores cient?ficos, assim como visualizar o grau de institucionaliza??o da atividade cient?fica de uma ci?ncia. Portanto, afirma-se que, a partir do peri?dico Ci?ncia da Informa??o, a Ci?ncia da Informa??o no Brasil encontra-se em vias de institucionaliza??o.
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Sarmento, Alexandre Guilherme Motta. "VERIFICAÇÃO DE IDENTIDADE PROFISSIONAL UTILIZANDO ANÁLISE EXPLORATÓRIA DE DADOS E A ANÁLISE ESTRUTURADA DE REDES: O CASO DO CI-BRASIL E DA MICROELETRÔNICA NO CNPq." Universidade Federal de Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/3552.
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We propose a preliminary model for perception analyses of professional identity
based on quantitative criteria as applied to a specific academic area. The identity is a
largely discussed by social sciences and there is a consensus about the difficulties in
describing its social construction and even its perception by the subjects themselves.
Professional identity is not different. Here, we studied how public policies aimed at
academic and professional consolidation and training for the microelectronics sector
may have had influence on its trainees and professionals over the last decade. We
used social network analysis tools on Lattes curricula to determine semantic
similarities between bibliographic productions of researchers who applied projects to
the CNPq CA-ME and of trainees under CI-Brazil Program. We then used the
colected data to characterize, from the distribution of keywords colleted throughou
time, the identity evolution of the subjects. This paper concerns itself also with a brief
presentation and evaluation of the CI-Brasil program as such (i.e., a program).
Initiated in 2002, it has helped the alteration of the microelectronic ecosystem in the
country, especially regarding training and fixation of human resources for the
integrated circuit design sector. Embedded electronics have been partially
responsible for deficits in the Brazilian trade balance. Therefore, public policy must
be formulated cautiously and responsibly so as to increase sector infrastructure and
form adequate human resources regarding market demand, be it at technician,
undergraduate or graduate levels, and training these professionals. This paper
focuses on undergraduate degrees and other training initiatives. Finally, this paper
aims to indicate indispensable requirements for the assimilation of these
professionals by the market, with public support and financing in partnership with
universities and private enterprises (triple helix.)Buscamos um modelo de análise de percepção da identidade profissional com bases mais quantitativas. Identidade é um tema muito discutido nas ciências sociais, onde há um consenso da dificuldade na forma de identificar sua construção social e, mesmo, sua percepção pelos próprios indivíduos. A identidade profissional não é diferente. Assim, nosso propósito foi mostrar como uma política pública de formação e fixação de indivíduos para o setor de microeletrônica afetou nos últimos 10 anos os profissionais da área. Para tanto usamos ferramentas de análise de redes sociais, para identificar semelhanças semânticas na produção acadêmica e técnica de pesquisadores vinculados ao CA-ME e de bolsistas do programa CI-Brasil. A seguir usamos os dados coletados para caracterizar, a partir da distribuição de palavras-chave recolhidas ao longo do tempo, a evolução da identidade dos sujeitos. Esta Tese trata também de uma discussão e avaliação do Programa CIBrasil iniciado em 2002, mostrando como este tem colaborado na alteração do ecossistema da microeletrônica no país, marcadamente no que toca à formação, capacitação e fixação de recursos humanos para o setor de design de circuitos integrados. O setor de eletrônica embarcada de modo geral tem causado déficits na balança comercial brasileira, assim, as Políticas Públicas para o setor devem ser formuladas com extrema cautela e responsabilidade de forma a aumentar a infraestrutura do setor e formar recursos humanos adequados às demandas de mercado, quer sejam formação em nível técnico quer na graduação quer na pósgraduação e ainda capacitar estes técnicos em nível de aperfeiçoamento. O enfoque deste trabalho estará na graduação e aperfeiçoamento. Por fim, busca-se apontar condições para que estes profissionais sejam assimilados pelo mercado com apoio e financiamentos públicos em parceria com as Universidades e Empresas (tripla hélice).
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Galv?o, Carine Cristina Gon?alves. "Organiza??o social entre as f?meas de Sotalia guianensis (Van B?n?den, 1864) da Ba?a da Ilha Grande, Rio de Janeiro, Brasil." Universidade Federal Rural do Rio de Janeiro, 2015. https://tede.ufrrj.br/jspui/handle/jspui/1341.
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2015 - Carine Cristina Gon?alves Galv?o.pdf: 2315391 bytes, checksum: 154e1cdd3a9bb2de5fd18d636c4a6543 (MD5)Made available in DSpace on 2016-10-25T13:39:22Z (GMT). No. of bitstreams: 1 2015 - Carine Cristina Gon?alves Galv?o.pdf: 2315391 bytes, checksum: 154e1cdd3a9bb2de5fd18d636c4a6543 (MD5) Previous issue date: 2015-02-24
Funda??o Carlos Chagas Filho de Amparo ? Pesquisa do Estado do RJ - FAPERJ
Some animals have extremely complex relationships including the formation of matriarchal societies, alliances and communities, specific long-term relationships, and formation of flexible groups, such as dolphins. Ilha Grande Bay, along with Sepetiba Bay, have the largest population of Sotalia guianensis throughout its distribution, with about 1311 individuals in the first one, and 1043 individuals in the second, where it has been registered groups with up to 450 individuals. This study aimed to analyze the social organization of the mothers of S. guianensis from Ilha Grande Bay. The mothers were considered those dolphins observed at least five times in high proximity of a calf; all its associates were also classified as females and included in the analysis. The analysis of these mothers? social structure was carried out in SOCPROG? software (2.5 version) using a Half Weight Index (HWI). It was performed an analysis of the community division by modularity which indicated that individuals do not form independent clusters. A Monte Carlo permutation test was done and showed the presence of preferred associations among some dyads. Finally, a temporal analysis was performed with the use of mathematical models fitted to the Lagged Association Rate to try to explain how associations behave over time. The social structure of the 25 mothers identified in Ilha Grande Bay seems to be poorly differentiated, forming a large social network with weak associations between dyads, and following a fission-fusion dynamics. There was no statistical difference in the associations between and within classes (mothers X females). This work is a contribution to the understanding of the species? social dynamics, which are still poorly known, and highlights the need for more research in the area.
Alguns animais possuem rela??es extremamente complexas, incluindo forma??o de sociedades matriarcais, alian?as e comunidades, relacionamentos espec?ficos de longa dura??o, e forma??o de grupos flex?veis, como ? o caso dos golfinhos. A Ba?a da Ilha Grande, juntamente com a Ba?a de Sepetiba, possui a maior popula??o de Sotalia guianensis em toda a sua distribui??o, com estimativa de 1311 indiv?duos na primeira, e 1043 indiv?duos na segunda, onde j? foram registrados grupos com at? 450 indiv?duos. Este trabalho teve como objetivo analisar a organiza??o social das m?es de S. guianensis da Ba?a da Ilha Grande. Foram consideradas m?es aqueles golfinhos vistos no m?nimo cinco vezes em forte proximidade de um filhote, e todos os seus associados foram classificados como f?meas e inclu?dos nas an?lises. A an?lise da estrutura social destas m?es foi feito no programa SOCPROG? (vers?o 2.5) atrav?s do ?ndice Half Weight (HWI). Foi feita uma an?lise de divis?o de comunidades por modularidade que indicou que os indiv?duos n?o formam agrega??es independentes. Um teste de permuta??o de Monte Carlo foi realizado e mostrou a presen?a de associa??es preferidas entre algumas duplas. Por fim, uma an?lise temporal foi realizada com a utiliza??o de modelos matem?ticos ajustados ? Lagged Association Rate para tentar explicar como as associa??es se comportam no decorrer do tempo. A estrutura social das 25 m?es identificadas de S. guianensis na Ba?a da Ilha Grande se mostrou pouco diferenciada, formando uma grande rede com fracas associa??es entre duplas, seguindo uma din?mica de fiss?o-fus?o. N?o houve diferen?a estat?stica nas associa??es entre e dentro das classes (m?es X f?meas). Este trabalho ? uma contribui??o para o entendimento das din?micas sociais da esp?cie, que ainda s?o pouco conhecidas, e ressalta a necessidade de mais pesquisas na ?rea.
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Ferreira, Isis Leite. "Redes alternativas de produ??o e consumo de alimentos: estudo de caso do Movimento de Integra??o Campo-Cidade (MICC/SP)." Universidade Federal Rural do Rio de Janeiro, 2015. https://tede.ufrrj.br/jspui/handle/jspui/1481.
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Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico - CNPq
The current debate about the food regimes seeks to reflect, in general, the transformation of the food system over time and space. This concept allows to place, historicizing and identify the main actors and stabilizing elements of each historical context, while allowing point periods of instability, which, in turn, drive changes towards overcoming a regime with another. Among the different approaches to the emergence of so-called 3? regime, one issue was highlighted in this research: the politicization of consumption and the emergence and expansion of alternative food networks. In this process, different types of organization, and food market are established at the same time that consumers is centrality. In Brazil, the process of formation of alternative food networks culminated in the construction of the National Network of Responsible Consumer Groups, that did emerge different paths, processes and dynamics of various groups. Among them, we analyze the case of the Rural-Urban Integration Movement ? MICC ? which since the 80s, has been articulating small farmers and working classes of consumers of S?o Paulo east zone around the marketing of organic food and non-organic, also called conventional food. The study examined the performance of the MICC from the concepts of governance, market and embeddedness. As a result pointed that MICC experience is specific because is related to the classic struggles of reducing inequality and social injustice because the emergence of the movement is closely related to the work of the Catholic Church in the context of political mobilization for land reform. However, on the initiative of another actor, the Kairos Institute, MICC expands agenda and form of action, adopting the narrative responsible consumption
O atual debate acerca dos regimes alimentares busca refletir, de maneira geral, as transforma??es do sistema agroalimentar ao longo do tempo e do espa?o. Este conceito permite situar, historicizar e identificar os principais atores e elementos estabilizadores de cada contexto hist?rico, ao mesmo tempo em que permite apontar os per?odos de instabilidade, que, por sua vez, impulsionam transforma??es em dire??o ? supera??o de um regime por outro. Dentre os diversos enfoques sobre a emerg?ncia do chamado 3? regime alimentar, uma quest?o mereceu destaque nesta pesquisa: a politiza??o do consumo e o surgimento e expans?o de redes alimentares alternativas. Neste processo, diferentes formas de organiza??o, rela??o e comercializa??o de alimentos s?o estabelecidas, ao mesmo tempo em que o consumidor ganha centralidade. No Brasil, o processo de forma??o de redes alimentares alternativas culminou na constru??o da Rede Nacional de Grupos de Consumo Respons?vel, que fez emergir diferentes trajet?rias, processos e din?micas de diversos grupos. Dentre eles, analisamos o caso do Movimento de Integra??o Campo-Cidade (MICC) que, desde a d?cada de 80, vem articulando pequenos produtores e consumidores de classes populares da Zona Leste de S?o Paulo em torno da comercializa??o de alimentos org?nicos e n?o org?nicos, chamados tamb?m de alimentos convencionais. O trabalho analisou a atua??o do MICC a partir dos conceitos de governan?a, mercado e enraizamento. Como resultado, apontou que a experi?ncia do MICC guarda especificidades por estar relacionada ?s lutas cl?ssicas de redu??o da desigualdade e da injusti?a social, pois seu surgimento est? fortemente relacionado ? atua??o da Igreja cat?lica em um contexto de mobiliza??o pol?tica pela reforma agr?ria. No entanto, a partir da iniciativa de outro ator, o Instituto Kair?s, o MICC amplia sua agenda e forma de a??o, passando a adotar a narrativa do consumo respons?vel
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Bensadon, Ligia Scarpa. "Tecendo projetos pol?ticos: a trajet?ria da Articula??o Nacional de Agroecologia." Universidade Federal Rural do Rio de Janeiro, 2016. https://tede.ufrrj.br/jspui/handle/jspui/1906.
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Funda??o Carlos Chagas Filho de Amparo ? Pesquisa do Estado do RJ - FAPERJ
Agroecology has emerged in recent decades as a proposal inserted into non-hegemonic developmental alternatives, expressing itself broadly as a social movement, science, practice and a way of life. Several social movement organizations and NGOs of agroecological field congregate in the National Agroecology Articulation (ANA). The research sought to understand the formation and political organization of the ANA, understood as a network with heterogeneous connections and social actors, established in 2002 to promote policy formulation and exchanges between organizations working with agroecology. We followed ANA?s trajectory to understand how the association promoted agroecology as a recognized public problem and represented itself as a social network, both for converging approaches and actions, and to oppose the agribusiness and to dispute public policies. The study begins with the historical reconstruction of the agro-ecological movement, from the initial steps of alternative agriculture to the spreading and defense of agroecology by different actors and sectors. As methodological tools, we conducted semi-structured interviews, participation in events and analysis of various documents. The analytical framework was composed by the notions of social networks and social movements with a relational approach and dense description. The action as a network, even in a horizontal effort, revealed concentrations, controversies and dynamics with different degrees of involvement. We noticed that the relationship with the state guided the action in network: the state is taken as a means of expanding the political proposal, in more or less intense cycles. This relationship also guided the relationship between different social actors for greater dissemination of agroecology. From the reading/analysis of the documents, we detected the struggle for political convergence and consensus on issues and speeches, with the management of historically involved NGOs. On the other hand, heterogeneous views emerged in the interviews, showing tensions among political perspectives and strategies that pervade the political fields, in a crossroads where differences in social positions and power relations meet. The study allowed us to observe the relationships and social processes that led to the formation of the ANA, as well as its form of action as a network and its representation as part of the agroecological movement. ANA boosted the political significance of agroecology as a frame, mobilized the actors to a public problem and to network shares with proposals for a new utopia
A agroecologia emergiu nas ?ltimas d?cadas como uma proposta inserida nas alternativas contra-hegem?nicas de desenvolvimento, expressando-se de forma ampla como movimento social, ci?ncia, pr?tica e um modo de vida. Diversas organiza??es de movimentos sociais e ONGs do campo agroecol?gico t?m interlocu??es na Articula??o Nacional de Agroecologia (ANA). A pesquisa buscou compreender a forma??o e organiza??o pol?tica da ANA, entendida como uma rede com heterog?neos v?nculos e atores sociais, criada em 2002 para promover formula??es de pol?ticas e interc?mbios entre organiza??es que atuam com agroecologia. O fio condutor da pesquisa seguiu a trajet?ria da ANA para entender de que maneira promoveu a agroecologia enquanto um problema p?blico reconhecido e se expressou como uma rede social, tanto para fazer convergir posicionamentos e a??es, quanto para se opor ao agroneg?cio e disputar pol?ticas p?blicas. O estudo parte da reconstru??o hist?rica do movimento agroecol?gico, desde os passos iniciais da agricultura alternativa at? o espraiamento e defesa da agroecologia por atores e setores diversos. Como instrumentos metodol?gicos, realizamos entrevistas semiestruturadas, participa??o em eventos e an?lise de documentos diversos, tendo como referencial anal?tico as no??es de redes sociais e movimentos sociais, com uma abordagem relacional e descri??o densa. A a??o em rede, mesmo no esfor?o da horizontalidade, expressou concentra??es, controv?rsias e din?micas de envolvimento diversas. Percebeu-se que foi orientadora dessa constru??o a rela??o com o Estado, buscada como meio para expans?o da proposta pol?tica, em ciclos mais ou menos intensos. Tal rela??o tamb?m orientou a articula??o entre distintos atores sociais para uma maior difus?o da agroecologia. Desde os documentos, percebeu-se o esfor?o para a converg?ncia pol?tica e no consenso em temas e discursos, com uma gest?o de ONGs historicamente envolvidas. J? nas entrevistas, as vis?es heterog?neas emergiram, expressando perspectivas e estrat?gias pol?ticas marcadas por tens?es que permeiam os campos pol?ticos, num espa?o de encontro das diferen?as em posi??es sociais e rela??es de poder. O estudo permitiu conhecer as rela??es e os processos sociais que geraram a forma??o da ANA, bem como sua forma de a??o em rede e sua express?o como parte do movimento agroecol?gico. A ANA impulsionou o significado pol?tico da agroecologia enquanto um frame, mobilizou os atores para um problema p?blico e para a??es em rede, com propostas de uma nova utopia
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Mallqui, Morales Nayda Isabel. "Diseño de migración de nodos B aplicado para una RNC caida de una red movil." Bachelor's thesis, Universidad Ricardo Palma, 2015. http://cybertesis.urp.edu.pe/handle/urp/1276.
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La presente tesina consiste en el diseño de migración de nodos B aplicado para una RNC caída de una red móvil, con la finalidad de solucionar los problemas que se presenten ante un incidente que afecte los servicios de voz y datos de los usurarios de una red móvil.
En el desarrollo de la tesina, se describe el planteamiento del problema, el marco teórico de la tecnología UMTS y posteriormente nos centramos en los elementos principales de esta tecnología. También describimos los equipos importantes a utilizar en desarrollo del proyecto, en este caso nos enfocamos en la descripción de la RNC. Y finalmente describimos el desarrollo del proyecto, el diseño de la solución e implementación de la misma, y en donde se presentan los resultados del diseño.
This thesis is the design of migration of nodes B and its a applied when RNC fall for a mobile network, in order to solve the problems that arise before an incident affecting voice and data services from a mobile network.
In developing the thesis, we describe the theoretical framework of UMTS technology and then we focus on the main elements of this technology. We also describe the important equipment used in project development; in this case we focus on the description of the RNC. And finally we describe the solution of design and implementation .Also, the results of this project.
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Laird, Daniel T. "To Determine Networked Telemetry Resynchronization Time." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595728.
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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, NevadaThe Central Test and Evaluation Investment Program (CTEIP) Integrated Network Enhanced Telemetry (iNET) program is currently testing networked telemetry transceivers (IP.TM-Tx/Rx) using the Internet Protocol (IP), for use in telemetry (TM) channels. A unique characteristic of networked telemetry channel is packet drops due to radio frequency (RF) signal dynamics, i.e., terrain, weather, aircraft attitude, manmade objects, etc.. One of the key measures of the IP.TMTx/ Rx is reliability is link availability (LA), and a key element of LA is time to resynchronize after RF link loss.
Books on the topic "The CI Network"
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Wang luo shi shang ci dian: Network vogue dictionary. Haikou: Hainan chu ban she, 2000.
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Wang luo wen xue guan jian ci 100: Network lierature. Beijing Shi: Zhong yang bian yi chu ban she, 2014.
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Fuld & Co. CI strategies & tools: I3 : Internet intelligence index. Cambridge, Mass: Fuld & Co., 1996.
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Reva, Basch, ed. Super searchers on competitive intelligence: The online and offline secrets of top CI researchers. Medford, N.J: CyberAge Books, 2003.
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Qu yu jiao tong wang luo ceng ci xing yu you hua she ji: Regional transport network hierarchical property and opitmization design. Beijing Shi: Ren min jiao tong chu ban she, 2011.
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Weimin, Dai, Zhao Jianhua, and Wang Dongbo, eds. Wang luo shi dai de xin xi zu zhi: Di si ci quan guo qing bao jian suo yu yan fa zhan fang xiang yan tao hui wen ji. Beijing: Beijing tu shu guan chu ban she, 2006.
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Xiaoming, Gu, ed. Yi ge ren da xue zhi wang jie ci dian. Shanghai: Shanghai san lian shu dian, 2001.
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Ying Han wang luo xin xi an quan ci dian. Beijing: Dian zi gong ye chu ban she, 2003.
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Zui xin Ying Han Internet ci hui: An English-Chinese new glossary of internet. Beijing: Guo fang gong ye chu ban she, 2003.
Find full textBook chapters on the topic "The CI Network"
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Zaroug, Abdelrahman, Jasmine K. Proud, Daniel T. H. Lai, Kurt Mudie, Dan Billing, and Rezaul Begg. "Overview of Computational Intelligence (CI) Techniques for Powered Exoskeletons." In Computational Intelligence in Sensor Networks, 353–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57277-1_15.
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Hošovský, Alexander, Ján Piteľ, Monika Trojanová, and Kamil Židek. "Computational Intelligence in the Context of Industry 4.0." In Implementing Industry 4.0 in SMEs, 27–94. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70516-9_2.
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AbstractIndustry 4.0 is affecting almost every area of the industry, and as a result of its effects, systems, technologies, and the way information is processed are being transformed. Its typical feature is transmission of information in the system environment provided by the Internet of Things. All information should be stored and shared through cloud computing. As a result, access to information should be unrestricted. This chapter is focused on Computational Intelligence (CI) in the context of Industry 4.0. Each subchapter provides fundamentals of some paradigms, followed by the use of CI in the concrete paradigm. The ending part of the chapter is focused on connecting theory and practice in a case study, which lists industrial parts recognition by convolutional neural networks for assisted assembly.
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Naveen Kumar, P., S. R. Jeeva Karunya, G. Sakthivel, and R. Jegadeeshwaran. "Intelligent Condition Monitoring of a CI Engine Using Machine Learning and Artificial Neural Networks." In Machine Intelligence and Signal Processing, 201–14. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1366-4_16.
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Noro, Koichi. "CI-NET: CONSTRUCTION INDUSTRY NETWORK." In Computer Integrated Construction, 159–64. Elsevier, 1992. http://dx.doi.org/10.1016/b978-0-444-89262-1.50023-3.
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Eid, Heba F. "Application of Computational Intelligence in Network Intrusion Detection." In Handbook of Research on Investigations in Artificial Life Research and Development, 153–74. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5396-0.ch008.
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Intrusion detection system plays an important role in network security. However, network intrusion detection (NID) suffers from several problems, such as false positives, operational issues in high dimensional data, and the difficulty of detecting unknown threats. Most of the problems with intrusion detection are caused by improper implementation of the network intrusion detection system (NIDS). Over the past few years, computational intelligence (CI) has become an effective area in extending research capabilities. Thus, NIDS based upon CI is currently attracting considerable interest from the research community. The scope of this review will encompass the concept of NID and presents the core methods of CI, including support vector machine, hidden naïve Bayes, particle swarm optimization, genetic algorithm, and fuzzy logic. The findings of this review should provide useful insights into the application of different CI methods for NIDS over the literature, allowing to clearly define existing research challenges and progress, and to highlight promising new research directions.
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Eid, Heba F. "Application of Computational Intelligence in Network Intrusion Detection." In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, 620–41. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch032.
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Intrusion detection system plays an important role in network security. However, network intrusion detection (NID) suffers from several problems, such as false positives, operational issues in high dimensional data, and the difficulty of detecting unknown threats. Most of the problems with intrusion detection are caused by improper implementation of the network intrusion detection system (NIDS). Over the past few years, computational intelligence (CI) has become an effective area in extending research capabilities. Thus, NIDS based upon CI is currently attracting considerable interest from the research community. The scope of this review will encompass the concept of NID and presents the core methods of CI, including support vector machine, hidden naïve Bayes, particle swarm optimization, genetic algorithm, and fuzzy logic. The findings of this review should provide useful insights into the application of different CI methods for NIDS over the literature, allowing to clearly define existing research challenges and progress, and to highlight promising new research directions.
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El-Alfy, El-Sayed M., and Wasan Awad. "Computational Intelligence Paradigms." In Improving Information Security Practices through Computational Intelligence, 1–27. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9426-2.ch001.
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The evolution of communication networks and information systems, to support wireless access, cloud and grid computing, and big data, provides great business opportunities. However, it also generates a new trend of sophisticated network threats and offers several challenges in securing information and systems confidentiality, integrity and availability. The traditional techniques used by security experts are mostly static and lack the much needed characteristics of adaptation and self-organization, computational efficiency and error resilience to deal with evolving attacks. The inherent characteristics of computational intelligence (CI) paradigms provide a promising alternative that has gained popularity resulting in significant applications in information security. There is a plethora of CI paradigms commonly used in this domain including artificial neural networks, evolutionary computing, fuzzy systems, and swarm intelligence. This chapter provides an overview of the widely-recognized CI paradigms and shades the light on some of their potential applications in information security.
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Mohanty, Itishree, and Dabashish Bhattacherjee. "Artificial Neural Network and Its Application in Steel Industry." In Advances in Chemical and Materials Engineering, 267–300. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0290-6.ch010.
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The recent developments in computational intelligence has enhances the applicability of empirical modelling in different areas particularly in the area of machine learning. These new approaches are based on analysing the data about a system, in particular finding connections between the system state variables (input, internal and output variables) without having precise knowledge about the physical behaviour of the system. These data driven methods explain advances on conventional empirical modelling and include contributions from many overlapping fields like Artificial Intelligence (AI), Computational Intelligence (CI), Soft Computing (SC), Machine Learning (ML), Intelligent Data Analysis (IDA), and Data Mining (DM). The most popular computational intelligence techniques used in process modelling of steel industry includes neural networks, fuzzy rule-based systems, genetic algorithms as well as approaches to model integration. This chapter describes mainly the application of Artificial Neural Network (ANN) in steel industry. ANN has extensively used in improving and controlling different processes of steel industry like steel making, casting and rolling which lead to indirect energy savings through reduced product rejects, improved productivity and reduced down time. The efficiency of artificial neural network tool in handling steel plant processes has been discussed in detail. ANN based models are found to be very potential to handle very complex, dynamic and non-linear problems.
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Arabo, Abdullahi, Qi Shi, and Madjid Merabti. "ContextRank." In Emerging Pervasive and Ubiquitous Aspects of Information Systems, 275–97. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-487-5.ch016.
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Contextual information and Identity Management (IM) is of paramount importance in the growing use of portable mobile devices for sharing information and communication between emergency services in pervasive ad-hoc environments. Mobile Ad-hoc Networks (MANets) play a vital role within such a context. The concept of ubiquitous/pervasive computing is intrinsically tied to wireless communications. Apart from many remote services, proximity services (context-awareness) are also widely available, and people rely on numerous identities to access these services. The inconvenience of these identities creates significant security vulnerability as well as user discomfort, especially from the network and device point of view in MANet environments. The need of displaying only relevant contextual information (CI) with explicit user control arises in energy constraint devices and in dynamic situations. We propose an approach that allows users to define policies dynamically and a ContextRank Algorithm which will detect the usability of CI. The proposed approach is not only efficient in computation but also gives users total control and makes policy specification more expressive. In this Chapter, the authors address the issue of dynamic policy specification, usage of contextual information to facilitate IM and present a User-centered and Context-aware Identity Management (UCIM) framework for MANets.
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Lai, Daniel T. H., Jussi Pakkanen, Rezaul Begg, and Marimuthu Palaniswami. "Computational Intelligence and Sensor Networks for Biomedical Systems." In Encyclopedia of Healthcare Information Systems, 261–73. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-889-5.ch036.
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Sensor networks (SN) is an emergent technology which combines small sensors outfitted with wireless transmitters to form a network with more powerful sensing capabilities (Akyildiz, Su, Sankarasubramaniam, & Cayirci, 2002; Chong & Kumar, 2003). The primary application for SN technology is monitoring environmental changes making it ideal for deployment in patient monitoring systems. In contrast to other monitoring technologies such as video, SN offers a potentially cheaper solution consisting of cost effective interconnected sensors which cooperatively sense the surroundings. Individual sensor information is then fused to derive an instantaneous description of the environment. In this article, we review briefly the recent applications of CI and SN technologies in health care, mentioning some of the challenges in deploying these technologies. This is followed by an example of a biomedical system incorporating both technologies in a single paradigm. The state of current systems and their advantages over existing methods are highlighted with examples focusing primarily on intelligent automated diagnostic systems to augment clinician diagnoses and health care monitoring systems for continuous patient observation.
Conference papers on the topic "The CI Network"
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Zurada, Jacek, and Samuel T. Fife. "Data Mining, Neural Networks and Rule Extraction; IEEE CI Distinguish Lecture." In 2006 8th Seminar on Neural Network Applications in Electrical Engineering. IEEE, 2006. http://dx.doi.org/10.1109/neurel.2006.341159.
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Hati, Sumanta, and Santi P. Maity. "Block PIC technique for synchronous CI/MC-CDMA system using neural network." In the International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2345396.2345594.
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Kuang, Yujun, Can Long, Keping Long, Jingsen Huang, Chaofeng Wu, and Qianbin Chen. "Pseudo-orthogonal Carrier Interference Orthogonal Frequency Division Multiplexing (PO-CI/OFDM) Revisited." In COIN-NGNCON 2006 - The Joint International Conference on Optical Internet and Next Generation Network. IEEE, 2006. http://dx.doi.org/10.1109/coinngncon.2006.4454680.
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Shrivastava, Saurabh K., James W. VanGilder, and Bahgat G. Sammakia. "Data Center Cooling Prediction Using Artificial Neural Network." In ASME 2007 InterPACK Conference collocated with the ASME/JSME 2007 Thermal Engineering Heat Transfer Summer Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ipack2007-33432.
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An analytical approach using artificial intelligence has been developed for assessing the cooling performance of data centers. This paper discusses the use of a Neural Network (NN) model in the real-time prediction of the cooling performance of a cluster of equipment in a data center environment. The NN model is used to predict the Capture Index (CI) [1] as a function of rack power, cooler airflow and physical/geometric arrangement for a cluster located in a simple room environment. The Neural Network is “trained” on thousands of hypothetical but realistic cluster variations for which CI values have been computed using either PDA [2] or full Computational Fluid Dynamics (CFD). The great value of the NN approach lies in its ability to capture the non-linear relationships between input parameters and corresponding capture indices. The accuracy of the NN approach is 3.8% (Root Mean Square Error) for a set of example scenarios discussed here. Because of the real-time nature of the calculations, the NN approach readily facilitates optimization studies. Example cases are discussed which show the integration of the NN approach and a genetic algorithm used for optimization.
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"CAS-SP and CI joint meeting SP society distinguished lecture: Joint blind source separation: Applications in medical image analysis." In 2012 11th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2012). IEEE, 2012. http://dx.doi.org/10.1109/neurel.2012.6419940.
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Samanta, B., and C. Nataraj. "Prognostics of Machine Condition Using Energy Based Monitoring Index and Computational Intelligence." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49638.
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A procedure is presented for monitoring and prognostics of machine conditions using computational intelligence (CI) techniques. The machine condition is assessed through an energy-based feature, termed as ‘energy index’, extracted from the vibration signals. The progression of the ‘monitoring index’ is predicted using CI techniques, namely, recursive neural network (RNN), adaptive neuro-fuzzy inference system (ANFIS) and support vector regression (SVR). The proposed prediction procedures have been evaluated through benchmark datasets. The prognostic effectiveness of the techniques has been illustrated through vibration dataset of a helicopter drivetrain system gearbox. The performance of SVR was found to be better than RNN and ANFIS for the dataset used. The results are helpful in understanding the relationship of machine conditions, the corresponding indicating feature, the level of damage/degradation and their progression.
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Shrivastava, Saurabh K., and James W. VanGilder. "A Flow-Network Model for Predicting Rack Cooling in Containment Systems." In ASME 2009 InterPACK Conference collocated with the ASME 2009 Summer Heat Transfer Conference and the ASME 2009 3rd International Conference on Energy Sustainability. ASMEDC, 2009. http://dx.doi.org/10.1115/interpack2009-89161.
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With row-based cooling systems, cooling units are placed directly in the row with the heat dissipating IT equipment racks. The cooling units are of similar dimensions to a standard IT rack but are oriented in the opposite direction relative to airflow. In order to achieve higher efficiencies and greater separation from the surrounding data center, air containment structures (plenums) are sometimes added to the entire row — on the rear and, potentially, the front side of the racks. This paper presents the development of a non-linear flow network model for predicting rack cooling performance in real time for such applications. Experimental work was performed to characterize the various leakage paths through IT racks and the containment systems in order to provide input data to the model. The Capture Index (CI) cooling performance metric is computed for each rack. Finally, flow network results are shown to be in good agreement with those from CFD.
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Esmaeili, Mohammad Amin, and Janet Twomey. "Self-Organizing Map (SOM) in Wind Speed Forecasting: A New Approach in Computational Intelligence (CI) Forecasting Methods." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7241.
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While wind energy has been reported as the fastest growing among different sources of renewable energy, two critical issues are how to make wind energy cost effective and how to integrate it into electricity grids properly. The ability to predict power generated by wind not only allows the most effective integration of wind power into electricity grid but also makes it possible to have an optimal maintenance scheduling that can reduce cost significantly. This research investigates the practical use of Self Organizing Map (SOM) as a special type of neural network based forecasting method. In this paper, forecasting the average, maximum and minimum of one-day-ahead wind speed based on the past wind speed states of the previous 24 hours is the objective.
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Provin, Geo H., and K. Sowmya. "MC-CDMA transceiver design and hardware implementation for 4G network with optimized successive interference cancellation for CI-based multiuser detection using VLSI." In 2014 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2014. http://dx.doi.org/10.1109/iccsp.2014.6950159.
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Meierjurgen, Kenneth, Brian Harries, Marc Compere, and Yan Tang. "Sensorless Selective Catalytic Reduction Using Artificial Neural Networks for Emissions Prediction With Fuzzy Logic Control." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65301.
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The transportation industry is a major contributor to the increase of greenhouse gasses present in the atmosphere. With the number of automobiles increasing every year, the U.S. government has implemented several regulations to reduce the environmental impact of the transportation industry. The most recent regulations increase the Corporate Average Fuel Economy (CAFÉ) to over 50mpg by 2025. These increased fuel economy standards will save consumers money, reduce dependence on foreign oil and cut GHG emissions in half (1). In order to comply with these regulations and reduce GHG emissions, automakers are improving powertrain efficiency and diversifying their fuel sources. One way automakers are improving fleet fuel economy is by offering more efficient Compression Iginition (CI) engines. Compression ignition engines can have a 10% improvement in peak efficiency over a Spark Ignition (SI) Engine. Although CI engines have higher efficiencies, they also have higher Nitrous Oxide (NOx) emissions. One of the most effective methods for reducing NOx emissions is a Selective Catalytic Reduction (SCR) system. Current methods for reducing NOx emissions using SCR rely on two NOx sensors for close loop control. These sensors add substantial costs to the production exhaust after treatment systems. This paper presents an intelligent control technique to achieve accurate prediction of NOx emissions and closed loop control without the use of expensive on board sensors. Simulation models were created to validate two artificial neural networks that aim to replace the upstream and downstream NOx sensors. The upstream neural network was trained using dynamometer data from a General Motors 1.3l turbo diesel engine. This neural network represented NOx emissions as a function of engine speed and throttle position. The downstream ANN was created using a nonlinear statespace plant model that simulates the catalyst NOx and nh3 reaction. To control the nh3 injection into the catalyst, a Fuzzy Logic Controller (FLC) was implemented. The FLC controller had two inputs: the error function calculated from the output NOx and a predetermined NOx target as well as the predicted surface coverage from the nh3 reaction. The results from steady state and drive cycle simulations are shown. The work presented in this paper serves as a proof of concept for the sensorless SCR system that was developed as part of ERAU’s entry in EcoCAR2: Plugging Into the Future. The simulations were conducted as part of year 1 of the EcoCAR2 competition and will be further developed during years 2 and 3 on ERAU’s Series Plug-in Hybrid Electric Vehicle.