Academic literature on the topic 'Temporal constraints'
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Journal articles on the topic "Temporal constraints"
Nair, Manjusha, Jinesh Manchan Kannimoola, Bharat Jayaraman, Bipin Nair, and Shyam Diwakar. "Temporal constrained objects for modelling neuronal dynamics." PeerJ Computer Science 4 (July 23, 2018): e159. http://dx.doi.org/10.7717/peerj-cs.159.
Full textMsaaf, Mohammed, and Fouad Belmajdoub. "Diagnosis of Discrete Event Systems under Temporal Constraints Using Neural Network." International Journal of Engineering Research in Africa 49 (June 2020): 198–205. http://dx.doi.org/10.4028/www.scientific.net/jera.49.198.
Full textChu, Wesley W., and Patrick H. Ngai. "Embedding temporal constraint propagation in machine sequencing for job shop scheduling." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 7, no. 1 (February 1993): 37–52. http://dx.doi.org/10.1017/s0890060400000056.
Full textChen, Jianhao, Junyang Ren, Wentao Ding, and Yuzhong Qu. "PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (June 26, 2023): 4166–72. http://dx.doi.org/10.1609/aaai.v37i4.25533.
Full textCampos, M., J. M. Juárez, J. Palma, and R. Marín. "Using temporal constraints for temporal abstraction." Journal of Intelligent Information Systems 34, no. 1 (February 12, 2009): 57–92. http://dx.doi.org/10.1007/s10844-009-0079-6.
Full textFrank, Jeremy. "Planning Solar Array Operations on the International Space Station." Proceedings of the International Conference on Automated Planning and Scheduling 23 (June 2, 2013): 470–71. http://dx.doi.org/10.1609/icaps.v23i1.13574.
Full textBarber, F. "Reasoning on Interval and Point-based Disjunctive Metric Constraints in Temporal Contexts." Journal of Artificial Intelligence Research 12 (February 1, 2000): 35–86. http://dx.doi.org/10.1613/jair.693.
Full textMOUHOUB, MALEK. "A HOPFIELD-TYPE NEURAL NETWORK BASED MODEL FOR TEMPORAL CONSTRAINTS." International Journal on Artificial Intelligence Tools 13, no. 03 (September 2004): 533–45. http://dx.doi.org/10.1142/s0218213004001673.
Full textDuisberg, Robert A. "Animation Using Temporal Constraints." ACM SIGCHI Bulletin 20, no. 1 (July 1988): 81. http://dx.doi.org/10.1145/49103.1046503.
Full textZuenko, Aleksandr A., and Olga V. Fridman. "Reasoning with temporal constraints." Transactions of the Kоla Science Centre of RAS. Series: Engineering Sciences 14, no. 7/2023 (February 27, 2024): 43–51. http://dx.doi.org/10.37614/2949-1215.2023.14.7.005.
Full textDissertations / Theses on the topic "Temporal constraints"
Choi, Ho Jin. "Controlling temporal constraints in planning." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307601.
Full textRalley, Richard. "Spatial constraints on attention." Thesis, University of Hertfordshire, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302301.
Full textSakai, Rodrigo Katsumoto. "Extensão de um SGBD para incluir o gerenciamento da informação temporal." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-01042009-143157/.
Full textThe temporal factor is a natural variable of the majority of the information systems, therefore in the real world the events occur in dynamic way, modifying continuously the values of its objects in elapsing of the time. Many of these systems need to register this modication and to attribute the instants of time where each information was valid in the system. This work congregates the characteristics related to the Temporal Databases and Object-Relational Databases. The primordial objective is to consider a form to implement some temporal aspects, developing a module that is part of the characteristics and internal functionalities of a DBMS. The temporal module mainly contemplates the part of restrictions of temporal integrity that is used to keep the consistency of the stored temporal information. For this, a new data type is proposed that better represent the objects timestamps. An important part for the implementation of this project is the use of a object-relational DBMS that has some object-oriented characteristics that allow the extension of its resources, becoming capable to manage some temporal aspects. The developed temporal module becomes these transparent temporal aspects for the user. For consequence, these users are capable to use the temporal resources more naturally.
Sandström, Kristian. "Enforcing Temporal Constraints in Embedded Control Systems." Doctoral thesis, KTH, Machine Design, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3328.
Full textUllberg, Jonas. "Towards Continous Activity Monitoring with Temporal Constraints." Thesis, Örebro University, School of Science and Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-10579.
Full textPublic demand for intelligent services in their home environments can be expected to grow in the near future once the required technology becomes more widely available and mature. Many intelligent home services cannot be provided in a purely reactive fashion though since they require contextual knowledge about the environment and most importantly the activities the residents are engaged in at any given time. This poses a problem since information about a human’s behavior is not easily accessible and has to be recognized from aggregated sensor data in most cases. Numerous activity recognition techniqueshave been studied in the literature. In this thesis we focus on one such technique which takes a temporal reasoning approach to activity recognition, namely recognizing activities by planning for them with a temporal planner. OMPS is an example of such a planner that has been used in previous work to recognize activities of humans in domestic environments. An important requirement for monitoring activities in a real world application is the ability to do so continuously and reliably. Two shortcomings in the previous approach hindered OMPS’s capability to meet this requirement, namely maintaining the performance of the activity recognition over long monitoring horizons, and ensuring future temporal consistency of recognized activities. This thesis will define the two problems, detail their solutions, and finally evaluate the modified system with the corresponding changes implemented.
Owuor, Dickson Odhiambo. "Capturing the temporal constraints of gradual patterns." Thesis, Montpellier, 2020. http://www.theses.fr/2020MONTS019.
Full textGradual pattern mining allows for extraction of attribute correlations through gradual rules such as: “the more X, the more Y”. Such correlations are useful in identifying and isolating relationships among the attributes that may not be obvious through quick scans on a data set. For instance, a researcher may apply gradual pattern mining to determine which attributes of a data set exhibit unfamiliar correlations in order to isolate them for deeper exploration or analysis. Assume the researcher has a data set which has the following attributes: age, amount of salary, number of children, and education level. An extracted gradual pattern may take the form “the lower the education level, the higher the salary”. Since this relationship is uncommon, it may interest the researcher in putting more focus on this phenomenon in order to understand it. As for many gradual pattern mining approaches, there is a key challenge to deal with huge data sets because of the problem of combinatorial explosion. This problem is majorly caused by the process employed for generating candidate gradual item sets. One way to improve the process of generating candidate gradual item sets involves optimizing this process using a heuristic approach. In this work, we propose an ant colony optimization technique which uses a popular probabilistic approach that mimics the behavior biological ants as they search for the shortest path to find food in order to solve combinatorial problems. We apply the ant colony optimization technique in order to generate gradual item set candidates whose probability of being valid is high. This coupled with the anti-monotonicity property, results in the development of a highly efficient ant-based gradual pattern mining technique. In our second contribution, we extend an existing gradual pattern mining technique to allow for extraction of gradual patterns together with an approximated temporal lag between the affected gradual item sets. Such a pattern is referred to as a fuzzy-temporal gradual pattern and it may take the form: “the more X, the more Y, almost 3 months later”. The addition of temporal dimension into the proposed approach makes it even worse regarding combinatorial explosion due to added task of searching for the most relevant time gap. In our third contribution, we propose a data crossing model that allows for integration of mostly gradual pattern mining algorithm implementations into a Cloud platform. This contribution is motivated by the proliferation of IoT applications in almost every area of our society and this comes with provision of large-scale time-series data from different sources. It may be interesting for a researcher to cross different time-series data with the aim of extracting temporal gradual patterns from the mapped attributes. For instance, a ‘humidity’ data set may be temporally crossed with an unrelated data set that records the ‘population of flies’, and a pattern may take the form: “the higher the humidity, the higher the number of flies, almost 2 hours later”. Again, the study emphasizes integration of gradual pattern mining techniques into a Cloud platform because this will facilitate their access on a subscription basis. This alleviates installation and configuration hustles for the users; therefore, it allows them to spend more time focusing on the phenomena they are studying
Jobczyk, Krystian. "Temporal planning with fuzzy constraints and preferences." Thesis, Normandie, 2017. http://www.theses.fr/2017NORMC259/document.
Full textTemporal planning forms conceptually a part of temporal reasoning and it belongs to research area of Artificial Intelligence and it may be seen as an extension of classical planning by temporal aspects of acting. Temporal planing is usually complemented by considering preferences or different types of temporal constraints imposed on execution of actions. There exist many approaches to this issue. One one hand, there are different paradigms to temporal planning, such as: planning via search in graphs (STRIPS), planning via satisfiability or planning in terms of Markov processes. These approaches are mutually incompatible. In addition, temporal planning requires a subject-specification as it is rather defined in a methodological way. On the other hand, temporal constraints are represented and modeled in different ways dependently on their quantitative or qualitative nature. In particular, Allen’s relations between temporal intervals – an important class of temporal constraints – do not have any quantitative aspects and cannot be considered in computational contexts. According to this situation, this PhD-thesis is aimed at the proposing a depth-analysis of temporal planning with fuzzy constraints which contains some remedies on these difficulties. Namely, two approaches to the representation and modeling of these issues are put forward. In the first one (chapter 2, chapter 3) – fuzzy Allen’s relations as fuzzy temporal constraints are represented by norms of convolutions in a Banach space of Lebesgue integrable functions. It allows us immerse Allen’s relations in the computational contexts of temporal planning (based on STRIPS and on DavisPutnam procedure) and to elucidate their quantitative nature. This approach is developed in a context of Multi-Agent Problem as a subject basis of this approach. In the second one (chapter 4, chapter 5) – fuzzy temporal constrains with fuzziness introduced by preferences are represented in a logical terms of Preferential Halpern-Shoham Logic. It allows us to adopt these result in a construction of the plan controller. This approach is developed in a context of Temporal Traveling Salesman Problem as a subject basis of this approach. Finally, an attempt to reconcile these two lines of representation of fuzzy temporal constraints was also proposed
Gruber, Wolfgang. "Modeling and transformation of workflows with temporal constraints." Berlin : Amsterdam : Aka, Akademische Verlagsgesellschaft ; IOS Press, 2004. http://catalog.hathitrust.org/api/volumes/oclc/57677828.html.
Full textCotroneo, Orazio. "Mining declarative process models with quantitative temporal constraints." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24636/.
Full textTeytaut, Yann. "On temporal constraints for deep neural voice alignment." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS196.
Full textTo listen, to respond, to make coincide, to coordinate, to adjust, to follow, to adapt, to be in unison, to synchronize, to align... The rich vocabulary dedicated to the correspondence of human activities shows the importance of their temporal organization. Human communication, multi-modal by nature, is fully concerned by this problematic since there exists a semantic gap between oral locutions and their symbolic sequences: how to interpret a written message without the vocal intonation? what performative style beyond a fixed musical score? This thesis proposes to uncover the complex underlying relationships between the audio and symbolic domains in order to reduce this gap through the fine study of the inherent temporality contained in voice recordings. The voice alignment task lies at the core of this objective, as it aims to determine the temporal occurrence of symbols that are assumed to be present in a voice signal. This work notably focuses on the development of an acoustic model, ADAGIO, capable of estimating such time-symbol links. Recent progress in deep learning have led to implement ADAGIO as a deep neural network in a powerful generic formalism: the “Connectionist Temporal Classification” (CTC). However, the great flexibility offered by CTC is undermined by its intrinsic lack of guarantees for temporally accurate predictions. Therefore, the key contributions of this research consist in reinforcing CTC with additional temporal constraints to improve the quality of the inferred alignments. To do so, three ancillary tasks of (1) spectral content reconstruction; (2) audio structure propagation; and (3) guided monotony are introduced and induce a positive impact on the alignment between voices, texts, and notes. Then, ADAGIO contributes to many practical applications via collaborations such as concatenative speech synthesis or the study of expressive production strategies at play for both social attitudes in speech and singing style in musical performances
Books on the topic "Temporal constraints"
Yates, Abigail E. Reasoning with qualitative temporal constraints. Manchester: UMIST, 1996.
Find full textStergiou, K. Backtracking algorithms for checking the consistency of temporal constraints. Manchester: UMIST, 1997.
Find full textDutta, Soumitra. "Approximate reasoning about temporal constraints in real time planning and search. Fontainbleau: INSEAD, 1986.
Find full textDutta, Soumitra. "Approximate reasoning about temporal constraints in real time planning and search". Fontainbleau: INSEAD, 1986.
Find full textMavroedis, John. Update operations in indefinite temporal constraint databases. Manchester: UMIST, 1995.
Find full textPapakammenos, Panagiotis. An SQL query language for indefinite temporal constraint databases. Manchester: UMIST, 1996.
Find full textHester, Todd. TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01168-4.
Full textHester, Todd. TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains. Heidelberg: Springer International Publishing, 2013.
Find full textLips, Adrianus Leonardus Wilhelmus. Temporal constraints on the kinematics of the destabilization of an orogen: Syn- to post-orogenic extensional collapse of the northern Aegean Region = Tijdscontrole op de kinematiek van de destabilisiering van een orogeen : syn- en post-orogene, extensie gedomineerde, instorting van het noordelijk Egeïsch gebied. [Utrecht: Universiteit Utrecht, 1998.
Find full textGao, Hong. Building robust schedules using temporal protection - an empirical study of constraint based scheduling under machine failure uncertainty. Ottawa: National Library of Canada, 1996.
Find full textBook chapters on the topic "Temporal constraints"
Revesz, Peter. "Temporal Constraints." In Encyclopedia of Database Systems, 1–5. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_391-2.
Full textRevesz, Peter. "Temporal Constraints." In Encyclopedia of Database Systems, 2945–48. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_391.
Full textRevesz, Peter. "Temporal Constraints." In Encyclopedia of Database Systems, 3931–35. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_391.
Full textWijsen, Jef. "Temporal Integrity Constraints." In Encyclopedia of Database Systems, 1–7. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_400-2.
Full textWijsen, Jef. "Temporal Integrity Constraints." In Encyclopedia of Database Systems, 2976–82. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_400.
Full textWijsen, Jef. "Temporal Integrity Constraints." In Encyclopedia of Database Systems, 3980–86. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_400.
Full textCampos, M., J. Palma, and R. Marín. "Temporal Data Mining with Temporal Constraints." In Artificial Intelligence in Medicine, 67–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73599-1_8.
Full textGertz, Michael, and Udo W. Lipeck. "“Temporal” Integrity Constraints in Temporal Databases." In Workshops in Computing, 77–92. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3033-8_5.
Full textTerenziani, Paolo, Luca Anselma, and Stefania Montani. "Periodicity-Based Temporal Constraints." In Lecture Notes in Computer Science, 62–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11558590_6.
Full textCohen, Ronald A. "Temporal Constraints on Attention." In The Neuropsychology of Attention, 409–32. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4419-7463-1_20.
Full textConference papers on the topic "Temporal constraints"
Wang, Lidan, Donald Metzler, and Jimmy Lin. "Ranking under temporal constraints." In the 19th ACM international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1871437.1871452.
Full textTalukdar, Partha Pratim, Derry Wijaya, and Tom Mitchell. "Acquiring temporal constraints between relations." In the 21st ACM international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2396761.2396886.
Full textCimatti, Alessandro, Marco Roveri, Angelo Susi, and Stefano Tonetta. "Object Models with Temporal Constraints." In 2008 Sixth IEEE International Conference on Software Engineering and Formal Methods. IEEE, 2008. http://dx.doi.org/10.1109/sefm.2008.23.
Full textMouhoub, M., and A. Sukpan. "Conditional and Composite Temporal Constraints with Preferences." In Thirteenth International Symposium on Temporal Representation and Reasoning (TIME'06). IEEE, 2006. http://dx.doi.org/10.1109/time.2006.10.
Full textCucinotta, Tommaso, Gaetano Anastasi, and Luca Abeni. "Respecting Temporal Constraints in Virtualised Services." In 2009 33rd Annual IEEE International Computer Software and Applications Conference. IEEE, 2009. http://dx.doi.org/10.1109/compsac.2009.118.
Full textTansel, A. U. "Integrity constraints in temporal relational databases." In International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. IEEE, 2004. http://dx.doi.org/10.1109/itcc.2004.1286696.
Full textGrumbach, Stéphane, Philippe Rigaux, and Luc Segoufin. "Spatio-temporal data handling with constraints." In the sixth ACM international symposium. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/288692.288712.
Full textBenmansour, Rachid, Oliver Braun, and Said Hanafi. "Scheduling under resources and temporal constraints." In 2015 International Conference on Industrial Engineering and Systems Management (IESM). IEEE, 2015. http://dx.doi.org/10.1109/iesm.2015.7380200.
Full textWondoh, John, Georg Grossmann, and Markus Stumptner. "Dynamic temporal constraints in business processes." In ACSW 2017: Australasian Computer Science Week 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3014812.3014848.
Full textDuisberg, R. A. "Animated graphical interfaces using temporal constraints." In the SIGCHI conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/22627.22361.
Full textReports on the topic "Temporal constraints"
Pollack, Martha E. Mixed-Initiative Development of Plans With Expressive Temporal Constraints. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada474565.
Full textDorr, Bonnie, and Terry Gasterland. Constraints on the Generation of Tense, Aspect, and Connecting Words from Temporal Expressions. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada459275.
Full textBaader, Franz, Stefan Borgwardt, Patrick Koopmann, Ana Ozaki, and Veronika Thost. Metric Temporal Description Logics with Interval-Rigid Names (Extended Version). Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2022.233.
Full textBleeker, W., J. Smith, M. Hamilton, S. Kamo, D. Liikane, P. Hollings, R. Cundari, M. Easton, and D. Davis. The Midcontinent Rift and its mineral systems: overview and temporal constraints of Ni-Cu-PGE mineralized intrusions. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/326880.
Full textDavis, W. J., G. Chi, S. Castonguay, and M. McLeod. Temporal relationships between plutonism, metamorphism, and gold mineralization in southwestern New Brunswick: U-Pb and 40Ar/39Ar geochronological constraints. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/215841.
Full textBaader, Franz, Stefan Borgwardt, and Marcel Lippmann. On the Complexity of Temporal Query Answering. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.191.
Full textMoore, David J. Estimating Carbon Flux and Storage: Constraint of the Community Land Model Using Observations at Different Temporal Scales. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1504233.
Full textBernal, CArolina, and Razvan Vlaicu. Child Labor, Rainfall Shocks, and Financial Inclusion: Evidence from Rural Households. Inter-American Development Bank, August 2023. http://dx.doi.org/10.18235/0005058.
Full textRice, J., R. C. Paulen, M. Ross, M. B. McClenaghan, and H. E. Campbell. Quaternary geology of the southern Core Zone area, Quebec and Newfoundland and Labrador. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331426.
Full textRice, J. M., R. C. Paulen, M. Ross, M. B. McClenaghan, and H E Campbell. Quaternary geology of the south Core Zone area, Quebec and Labrador. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330903.
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