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680 results on '"Nascimento, Mario"'

53. 9ª Geração de Videogames e as dimensões que impactam a sua aquisição. Como os valores, risco e custo de mudança influenciam o comportamento de compra

Author

Nascimento, Mario do Amaral, Mattoso, Cecília Lima de Queirós, and Oriol, Ettore de Carvalho

Subjects
Custo de Mudança, Video Game, Risco Percebido, Perceived Risk, Videogame, Jogos, Purchase Intent, Intenção de Compra, Games, Cost of Change, Valores, Value
Abstract

Playing video games is just fun at first, but this market moves almost 2 trillion dollars a year. However, despite the numbers, there are not many academic studies about this market. In this way, this research intends to expand a little this knowledge, particularly about the influences on the purchase intention of a new video game. There are several theories about the factors that influence it directly or indirectly, in which an adapted model based on the Theory of Consumption Values was used for this study. To adapt the scale, a scan was carried out on the generations of video games, market and particularities of this product, followed by a survey answered by 403 players and analyzed using SEM-PLS. The results showed that utilitarian and hedonic values, as well as switching cost and perceived risk considerably influence purchase intention. Jogar videogame a princípio é só diversão, mas esse mercado movimenta por ano quase 2 trilhões de dólares. Porém, apesar dos números, não são muitos os estudos acadêmicos sobre esse mercado. Desse modo, essa pesquisa pretende ampliar um pouco esse conhecimento, particularmente, sobre as influências na intenção de compra de um videogame novo. Existem diversas teorias sobre os fatores que a influenciam direta, ou indiretamente, no qual para este estudo foi utilizado um modelo adaptado baseado na Theory of Consumption Values. Para adaptação da escala, foi realizada uma varredura sobre as gerações de videogames, mercado e particularidades desse produto, seguida de uma survey respondida por 403 jogadores e analisada por meio de SEM-PLS. Os resultados demonstraram que os valores utilitários e hedônicos, bem como o custo de mudança e risco percebido influenciam consideravelmente a intenção de compra.

Published
2022
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54. Continuous Probabilistic Sum Queries in Wireless Sensor Networks with Ranges

Author

Hubig, Nina, Züfle, Andreas, Emrich, Tobias, Nascimento, Mario A., Renz, Matthias, Kriegel, Hans-Peter, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ailamaki, Anastasia, editor, and Bowers, Shawn, editor

Published
2012
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55. Histogram and Other Aggregate Queries in Wireless Sensor Networks

Author

Ammar, Khaled, Nascimento, Mario A., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Bayard Cushing, Judith, editor, French, James, editor, and Bowers, Shawn, editor

Published
2011
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56. Mobility Data Science:Dagstuhl Seminar 22021

Author

Mokbel, Mohamed, Sakr, Mahmoud, Xiong, Li, Züfle, Andreas, Almeida, Jussara, Anderson, Taylor, Aref, Walid, Andrienko, Gennady, Andrienko, Natalia, Cao, Yang, Chawla, Sanjay, Cheng, Reynold, Chrysanthis, Panos, Fei, Xiqi, Ghinita, Gabriel, Graser, Anita, Gunopulos, Dimitrios, Jensen, Christian, Kim, Joon-Sook, Kim, Kyoung-Sook, Kröger, Peer, Krumm, John, Lauer, Johannes, Magdy, Amr, Nascimento, Mario, Ravada, Siva, Renz, Matthias, Sacharidis, Dimitris, Shahabi, Cyrus, Salim, Flora, Sarwat, Mohamed, Schoemans, Maxime, Speckmann, Bettina, Tanin, Egemen, Theodoridis, Yannis, Torp, Kristian, Trajcevski, Goce, van Kreveld, Marc, Wenk, Carola, Werner, Martin, Wong, Raymond, Wu, Song, Xu, Jianqiu, Youssef, Moustafa, Zeinalipour, Demetris, Zhang, Mengxuan, and Zimányi, Esteban

Subjects
Behavior, Data cleaning, Analytics, Privacy, Tracking, Information systems → Data management systems, Spatio-temporal, Data management, Information systems → Information systems applications
Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 22021 "Mobility Data Science". This seminar was held January 9-14, 2022, including 47 participants from industry and academia. The goal of this Dagstuhl Seminar was to create a new research community of mobility data science in which the whole is greater than the sum of its parts by bringing together established leaders as well as promising young researchers from all fields related to mobility data science. Specifically, this report summarizes the main results of the seminar by (1) defining Mobility Data Science as a research domain, (2) by sketching its agenda in the coming years, and by (3) building a mobility data science community. (1) Mobility data science is defined as spatiotemporal data that additionally captures the behavior of moving entities (human, vehicle, animal, etc.). To understand, explain, and predict behavior, we note that a strong collaboration with research in behavioral and social sciences is needed. (2) Future research directions for mobility data science described in this report include a) mobility data acquisition and privacy, b) mobility data management and analysis, and c) applications of mobility data science. (3) We identify opportunities towards building a mobility data science community, towards collaborations between academic and industry, and towards a mobility data science curriculum., DagRep, Volume 12, Issue 1, pages 1-34

Published
2022

57. Optimizing Query Processing in Cache-Aware Wireless Sensor Networks

Author

Nascimento, Mario A., Alencar, Romulo A. E., Brayner, Angelo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gertz, Michael, editor, and Ludäscher, Bertram, editor

Published
2010
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58. Molecular identification, morphological characterization and new insights into the ecology of larval Pseudoterranova cattani in fishes from the Argentine coast with its differentiation from the Antarctic species, P. decipiens sp. E (Nematoda: Anisakidae)

Author

Timi, Juan T., Paoletti, Michela, Cimmaruta, Roberta, Lanfranchi, Ana L., Alarcos, Ana J., Garbin, Lucas, George-Nascimento, Mario, Rodríguez, Diego H., Giardino, Gisela V., and Mattiucci, Simonetta

Published
2014
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60. On the Trade-Off between User-Location Privacy and Queried-Location Privacy in Wireless Sensor Networks

Author

Vogt, Ryan, Nascimento, Mario A., Harms, Janelle, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Ruiz, Pedro M., editor, and Garcia-Luna-Aceves, Jose Joaquin, editor

Published
2009
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61. Efficient and Flexible Cluster-and-Search for CBIR

Author

Rocha, Anderson, Almeida, Jurandy, Nascimento, Mario A., Torres, Ricardo, Goldenstein, Siome, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Blanc-Talon, Jacques, editor, Bourennane, Salah, editor, Philips, Wilfried, editor, Popescu, Dan, editor, and Scheunders, Paul, editor

Published
2008
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68. Radial Projection: A Feature Extraction Method for Topographical Shapes

Author

Kwon, Yong-Il, Park, Ho-Hyun, Liu, Jixue, Nascimento, Mario A., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ho, Yo-Sung, editor, and Kim, Hyoung Joong, editor

Published
2005
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75. Mobility Data Science (Dagstuhl Seminar 22021)

Author

Mokbel, Mohamed, Sakr, Mahmoud, Xiong, Li, Z"ufle, Andreas, Almeida, Jussara, Anderson, Taylor, Aref, Walid, Andrienko, Gennady, Andrienko, Natalia, Cao, Yang, Chawla, Sanjay, Cheng, Reynold, Chrysanthis, Panos, Fei, Xiqi, Ghinita, Gabriel, Graser, Anita, Gunopulos, Dimitrios, Jensen, Christian, Kim, Joon-Sook, Kim, Kyoung-Sook, Kr"oger, Peer, Krumm, John, Lauer, Johannes, Magdy, Amr, Nascimento, Mario, Ravada, Siva, Renz, Matthias, Sacharidis, Dimitris, Shahabi, Cyrus, Salim, Flora, Sarwat, Mohamed, Schoemans, Maxime, Speckmann, Bettina, Tanin, Egemen, Theodoridis, Yannis, Torp, Kristian, Trajcevski, Goce, van Kreveld, Marc, Wenk, Carola, Werner, Martin, Wong, Raymond, Wu, Song, Xu, Jianqiu, Youssef, Moustafa, Zeinalipour, Demetris, Zhang, Mengxuan, Zimanyi, Esteban, Mokbel, Mohamed, Sakr, Mahmoud, Xiong, Li, Z"ufle, Andreas, Almeida, Jussara, Anderson, Taylor, Aref, Walid, Andrienko, Gennady, Andrienko, Natalia, Cao, Yang, Chawla, Sanjay, Cheng, Reynold, Chrysanthis, Panos, Fei, Xiqi, Ghinita, Gabriel, Graser, Anita, Gunopulos, Dimitrios, Jensen, Christian, Kim, Joon-Sook, Kim, Kyoung-Sook, Kr"oger, Peer, Krumm, John, Lauer, Johannes, Magdy, Amr, Nascimento, Mario, Ravada, Siva, Renz, Matthias, Sacharidis, Dimitris, Shahabi, Cyrus, Salim, Flora, Sarwat, Mohamed, Schoemans, Maxime, Speckmann, Bettina, Tanin, Egemen, Theodoridis, Yannis, Torp, Kristian, Trajcevski, Goce, van Kreveld, Marc, Wenk, Carola, Werner, Martin, Wong, Raymond, Wu, Song, Xu, Jianqiu, Youssef, Moustafa, Zeinalipour, Demetris, Zhang, Mengxuan, and Zimanyi, Esteban

Abstract

info:eu-repo/semantics/published

Published
2022

76. Deep learning based 3D point cloud regression for estimating forest biomass

Author

Renz, Matthias, Sarwat, Mohamed, Nascimento, Mario A., Shekhar, Shashi, Xie, Xing, Oehmcke, Stefan, Li, Lei, Revenga, Jaime C., Nord-Larsen, Thomas, Trepekli, Katerina, Gieseke, Fabian, Igel, Christian, Renz, Matthias, Sarwat, Mohamed, Nascimento, Mario A., Shekhar, Shashi, Xie, Xing, Oehmcke, Stefan, Li, Lei, Revenga, Jaime C., Nord-Larsen, Thomas, Trepekli, Katerina, Gieseke, Fabian, and Igel, Christian

Abstract

Knowledge of forest biomass stocks and their development is important for implementing effective climate change mitigation measures. Remote sensing using airborne LiDAR can be used to measure vegetation structure at large scale. We present deep learning systems for predicting wood volume, above-ground biomass (AGB), and subsequently above-ground carbon stocks directly from airborne LiDAR point clouds. Specifically, we devise different neural network architectures for point cloud regression and evaluate them on remote sensing data of areas for which AGB estimates have been obtained from field measurements in a national forest inventory. Our adaptation of Minkowski convolutional neural networks for regression gave the best results. The deep neural networks produced significantly more accurate wood volume, AGB, and carbon estimates compared to state-of-the-art approaches operating on basic statistics of the point clouds. In contrast to other methods, no digital terrain model is required. We expect this finding to have a strong impact on LiDAR-based analyses of terrestrial ecosystem dynamics.

Published
2022

77. Mobility Data Science (Dagstuhl Seminar 22021)

Author

Mohamed Mokbel and Mahmoud Sakr and Li Xiong and Andreas Züfle and Jussara Almeida and Taylor Anderson and Walid Aref and Gennady Andrienko and Natalia Andrienko and Yang Cao and Sanjay Chawla and Reynold Cheng and Panos Chrysanthis and Xiqi Fei and Gabriel Ghinita and Anita Graser and Dimitrios Gunopulos and Christian Jensen and Joon-Sook Kim and Kyoung-Sook Kim and Peer Kröger and John Krumm and Johannes Lauer and Amr Magdy and Mario Nascimento and Siva Ravada and Matthias Renz and Dimitris Sacharidis and Cyrus Shahabi and Flora Salim and Mohamed Sarwat and Maxime Schoemans and Bettina Speckmann and Egemen Tanin and Yannis Theodoridis and Kristian Torp and Goce Trajcevski and Marc van Kreveld and Carola Wenk and Martin Werner and Raymond Wong and Song Wu and Jianqiu Xu and Moustafa Youssef and Demetris Zeinalipour and Mengxuan Zhang and Esteban Zimányi, Mokbel, Mohamed, Sakr, Mahmoud, Xiong, Li, Züfle, Andreas, Almeida, Jussara, Anderson, Taylor, Aref, Walid, Andrienko, Gennady, Andrienko, Natalia, Cao, Yang, Chawla, Sanjay, Cheng, Reynold, Chrysanthis, Panos, Fei, Xiqi, Ghinita, Gabriel, Graser, Anita, Gunopulos, Dimitrios, Jensen, Christian, Kim, Joon-Sook, Kim, Kyoung-Sook, Kröger, Peer, Krumm, John, Lauer, Johannes, Magdy, Amr, Nascimento, Mario, Ravada, Siva, Renz, Matthias, Sacharidis, Dimitris, Shahabi, Cyrus, Salim, Flora, Sarwat, Mohamed, Schoemans, Maxime, Speckmann, Bettina, Tanin, Egemen, Theodoridis, Yannis, Torp, Kristian, Trajcevski, Goce, van Kreveld, Marc, Wenk, Carola, Werner, Martin, Wong, Raymond, Wu, Song, Xu, Jianqiu, Youssef, Moustafa, Zeinalipour, Demetris, Zhang, Mengxuan, Zimányi, Esteban, Mohamed Mokbel and Mahmoud Sakr and Li Xiong and Andreas Züfle and Jussara Almeida and Taylor Anderson and Walid Aref and Gennady Andrienko and Natalia Andrienko and Yang Cao and Sanjay Chawla and Reynold Cheng and Panos Chrysanthis and Xiqi Fei and Gabriel Ghinita and Anita Graser and Dimitrios Gunopulos and Christian Jensen and Joon-Sook Kim and Kyoung-Sook Kim and Peer Kröger and John Krumm and Johannes Lauer and Amr Magdy and Mario Nascimento and Siva Ravada and Matthias Renz and Dimitris Sacharidis and Cyrus Shahabi and Flora Salim and Mohamed Sarwat and Maxime Schoemans and Bettina Speckmann and Egemen Tanin and Yannis Theodoridis and Kristian Torp and Goce Trajcevski and Marc van Kreveld and Carola Wenk and Martin Werner and Raymond Wong and Song Wu and Jianqiu Xu and Moustafa Youssef and Demetris Zeinalipour and Mengxuan Zhang and Esteban Zimányi, Mokbel, Mohamed, Sakr, Mahmoud, Xiong, Li, Züfle, Andreas, Almeida, Jussara, Anderson, Taylor, Aref, Walid, Andrienko, Gennady, Andrienko, Natalia, Cao, Yang, Chawla, Sanjay, Cheng, Reynold, Chrysanthis, Panos, Fei, Xiqi, Ghinita, Gabriel, Graser, Anita, Gunopulos, Dimitrios, Jensen, Christian, Kim, Joon-Sook, Kim, Kyoung-Sook, Kröger, Peer, Krumm, John, Lauer, Johannes, Magdy, Amr, Nascimento, Mario, Ravada, Siva, Renz, Matthias, Sacharidis, Dimitris, Shahabi, Cyrus, Salim, Flora, Sarwat, Mohamed, Schoemans, Maxime, Speckmann, Bettina, Tanin, Egemen, Theodoridis, Yannis, Torp, Kristian, Trajcevski, Goce, van Kreveld, Marc, Wenk, Carola, Werner, Martin, Wong, Raymond, Wu, Song, Xu, Jianqiu, Youssef, Moustafa, Zeinalipour, Demetris, Zhang, Mengxuan, and Zimányi, Esteban

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 22021 "Mobility Data Science". This seminar was held January 9-14, 2022, including 47 participants from industry and academia. The goal of this Dagstuhl Seminar was to create a new research community of mobility data science in which the whole is greater than the sum of its parts by bringing together established leaders as well as promising young researchers from all fields related to mobility data science. Specifically, this report summarizes the main results of the seminar by (1) defining Mobility Data Science as a research domain, (2) by sketching its agenda in the coming years, and by (3) building a mobility data science community. (1) Mobility data science is defined as spatiotemporal data that additionally captures the behavior of moving entities (human, vehicle, animal, etc.). To understand, explain, and predict behavior, we note that a strong collaboration with research in behavioral and social sciences is needed. (2) Future research directions for mobility data science described in this report include a) mobility data acquisition and privacy, b) mobility data management and analysis, and c) applications of mobility data science. (3) We identify opportunities towards building a mobility data science community, towards collaborations between academic and industry, and towards a mobility data science curriculum.

Published
2022
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78. Mobility Data Science (Dagstuhl Seminar 22021)

Author

Mokbel, Mohamed F., Sakr, Mahmoud Attia, Xiong, Li, Züfle, Andreas, Almeida, Jussara M., Anderson, Taylor, Aref, Walid G., Andrienko, Gennady L., Andrienko, Natalia V., Cao, Yang, Chawla, Sanjay, Cheng, Reynold, Chrysanthis, Panos K., Fei, Xiqi, Ghinita, Gabriel, Graser, Anita, Gunopulos, Dimitrios, Jensen, Christian S., Kim, Joon-Sook, Kim, Kyoung-Sook, Kröger, Peer, Krumm, John, Lauer, Johannes, Magdy, Amr, Nascimento, Mario A., Ravada, Siva, Renz, Matthias, Sacharidis, Dimitris, Shahabi, Cyrus, Salim, Flora D., Sarwat, Mohamed, Schoemans, Maxime, Speckmann, Bettina, Tanin, Egemen, Theodoridis, Yannis, Torp, Kristian, Trajcevski, Goce, van Kreveld, Marc J., Wenk, Carola, Werner, Martin, Wong, Raymond Chi-Wing, Wu, Song, Xu, Jianqiu, Youssef, Moustafa, Zeinalipour, Demetris, Zhang, Mengxuan, Zimányi, Esteban, Mokbel, Mohamed F., Sakr, Mahmoud Attia, Xiong, Li, Züfle, Andreas, Almeida, Jussara M., Anderson, Taylor, Aref, Walid G., Andrienko, Gennady L., Andrienko, Natalia V., Cao, Yang, Chawla, Sanjay, Cheng, Reynold, Chrysanthis, Panos K., Fei, Xiqi, Ghinita, Gabriel, Graser, Anita, Gunopulos, Dimitrios, Jensen, Christian S., Kim, Joon-Sook, Kim, Kyoung-Sook, Kröger, Peer, Krumm, John, Lauer, Johannes, Magdy, Amr, Nascimento, Mario A., Ravada, Siva, Renz, Matthias, Sacharidis, Dimitris, Shahabi, Cyrus, Salim, Flora D., Sarwat, Mohamed, Schoemans, Maxime, Speckmann, Bettina, Tanin, Egemen, Theodoridis, Yannis, Torp, Kristian, Trajcevski, Goce, van Kreveld, Marc J., Wenk, Carola, Werner, Martin, Wong, Raymond Chi-Wing, Wu, Song, Xu, Jianqiu, Youssef, Moustafa, Zeinalipour, Demetris, Zhang, Mengxuan, and Zimányi, Esteban

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 22021 "Mobility Data Science". This seminar was held January 9-14, 2022, including 47 participants from industry and academia. The goal of this Dagstuhl Seminar was to create a new research community of mobility data science in which the whole is greater than the sum of its parts by bringing together established leaders as well as promising young researchers from all fields related to mobility data science. Specifically, this report summarizes the main results of the seminar by (1) defining Mobility Data Science as a research domain, (2) by sketching its agenda in the coming years, and by (3) building a mobility data science community. (1) Mobility data science is defined as spatiotemporal data that additionally captures the behavior of moving entities (human, vehicle, animal, etc.). To understand, explain, and predict behavior, we note that a strong collaboration with research in behavioral and social sciences is needed. (2) Future research directions for mobility data science described in this report include a) mobility data acquisition and privacy, b) mobility data management and analysis, and c) applications of mobility data science. (3) We identify opportunities towards building a mobility data science community, towards collaborations between academic and industry, and towards a mobility data science curriculum.

Published
2022

80. On the Generation of Spatiotemporal Datasets

Author

Theodoridis, Yannis, Silva, Jefferson R. O., Nascimento, Mario A., Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Güting, Ralf Hartmut, editor, Papadias, Dimitris, editor, and Lochovsky, Fred, editor

Published
1999
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82. Poster RLOPEZ

Author

López-Rodríguez, Ruby, George-Nascimento, Mario, Huentenao, Karen, and Urzúa, Ángel

Published
2022
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89. Uma estrategia de duas fases para o problema de sequenciamento em celulas flexiveis de manufatura

Author

Nascimento, Mario Antonio do, 1965, Armentano, Vinícius Amaral, 1950, Universidade Estadual de Campinas. Faculdade de Engenharia Elétrica, Programa de Pós-Graduação em Engenharia Elétrica, and UNIVERSIDADE ESTADUAL DE CAMPINAS

Subjects
Engenharia de sistemas, Modalidade (Lógica), Automação, Sistemas de manufaturas integrada por computador
Abstract

Orientador: Vinicius A. Armentano Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica Resumo: Neste trabalho abordamos o problema de seqüenciamento ("scheduling") de peças em uma célula flexível de manufatura. Propomos, como contribuição principal, um algoritmo heurístico de duas fases: Decompor o problema de N peças e M máquinas em N subproblemas de 1 peça e M máquinas; resolver cada um destes subproblemas otimizando algum critério. Combinar as soluções obtidas de todos o subproblemas, de modo a obter uma solução fatível para o problema original e que contemple a otimização de algum critério. Propomos ainda um algoritmo exato do tipo "Branch-and-Bound" que servirá de referência para avaliar as soluções obtidas pela estratégia de duas fases. Um modelo de programação matemática também é apresentado Abstract: In this thesis we treat the problem of scheduling jobs in a flexible manufacturing cell. We propose, as the main contribution, a two phase heuristic algorithm: To decompose the N jobs and M machines problem into N sub-problems of 1 job and M machines; to solve each of them minizing some criterion. To mix the solution obtained from the sub-problems into a single feasible solution, in which some optimization criterion is considered. Furthermore we propose an exact Branch-and-Bound algorithm which will provide solutions to be compared with those obtained by the two phase approach. A mathematical programming model is also presented. Mestrado Mestre em Engenharia Elétrica

Published
2021

91. Knowledge-Enriched Route Computation

Author

Skoumas, Georgios, primary, Schmid, Klaus Arthur, additional, Jossé, Gregor, additional, Schubert, Matthias, additional, Nascimento, Mario A., additional, Züfle, Andreas, additional, Renz, Matthias, additional, and Pfoser, Dieter, additional

Published
2015
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95. 9ª Geração de Videogames e as dimensões que impactam a sua aquisição. Como os valores, risco e custo de mudança influenciam o comportamento de compra.

Author

do Amaral Nascimento, Mario, de Queirós Mattoso, Cecília Lima, and de Carvalho Oriol, Ettore

Subjects
SWITCHING costs, VIDEO games, MODEL theory, INTENTION
Abstract

Copyright of Comunicação, Mídia e Consumo is the property of Escola Superior de Propaganda e Marketing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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