Conclusions and Future Work. Since existing specifications for creating agreements for services, such as WS–Agreements, WSLA, and SLA*, were developed to capture the technical aspects of Web services, we developed Linked USDL Agreement, an extension to the Linked USDL service description fam- ily, to capture business aspects, compensations and time constraints, among others. The new specification is to be used to establish and share agreements between customers and providers who seek to automatically perform service trading over the Web. The evaluation of Linked USDL Agreement was two- fold. On the one hand, we evaluated its capabilities to model services such as EC2 made available by Amazon AWS. On the other hand, we showed how our proposal covers the SLA lifecycle compared to existing ones, focusing on actually used features in common SLAs. Furthermore, we discuss how the information captured by our model can be automatically used by tools to perform validity checking, for instance. Future work requires to build a proof-of-concept pro- totype to illustrate how a service marketplace could au- tomatically provision services to consumers with regards to their requirements and preferences [16] coping with heterogeneity issues, as well as to establish contracting using Linked USDL Agreement, and to automatically detect service level objectives’ violations, which would be reported to customers and trigger compensation actions.
Conclusions and Future Work. In this study, we proposed a simple method to obtain an agreement ratio focused on inter-participant agreement through FSs generated from a data-driven approach, namely the IAA. We provided synthetic examples to show the calculations and also the results of the measure on a real world dataset obtained from different groups of people involved in a medical assessment scenario in which perceptions are key. The results show that the proposed measure can provide directly a means of evaluating the aptness of a Fuzzy Set representing a word in a given group over others. This measure has an important potential in several medical-patient intercommunication scenarios in which differences in background and context may produce misleading /assessments interpretations among different groups. We foresee the proposed measure’s usefulness in practical scenarios in which decision based on linguistic assessments are needed. For example, it can be useful to analyse a codebook with potential linguistic terms as candidates in which it is needed to avoid ambiguity as much as possible, e.g., by group- ing/ranking similar terms using a defined criterion (centroid, etc.) and selecting those with the highest agreement ratio γ. Another application can be to use the agreement ratio to mea- sure the level of consensus and allow discussion of the results among the stakeholders and repeat the survey process until more considerable agreement ratios are obtained. Although the measure proposed in this paper has only been designed for T1 FSs, we have already explored the extension of the measure to T2 FSs which will be presented in a future publication. The extension is focused on enabling the application of the measure to other common FS generation techniques which generate T2 FSs (e.g., the Enhanced Interval Approach). We also plan to develop a more detailed methodology for the selection of words for CWW engines based on the proposed agreement ratio and explore its results in comparison to other approaches.
Conclusions and Future Work. We have presented a novel method to design cryptographic permutations and block ciphers such that they have efficient fault-detecting implementations by building code-abiding permutations and embedding a permutation in that. By a judicious choice of components, these permutations can be very lightweight,
Conclusions and Future Work. In this article, we have presented an integration of dynamic taint analysis, a white-box technique for tracing data flow, and register automata learning, a black-box technique for inferring behavioral models of components. The combi- nation of the two methods improves upon the state-of-the-art in terms of the class of systems for which models can be generated and in terms of performance: Tainting makes it possible to infer data-flow constraints even in instances with a high intrinsic complexity (e.g., in the case of so-called combination locks). Our implementation outperforms pure black-box learning by two orders of magni- tude with a growing impact in the presence of multiple data parameters and registers. Both improvements are important steps towards the applicability of model learning in practice as they will help scaling to industrial use cases. At the same time our evaluation shows the need for further improvements: Currently, the SL∗ algorithm uses symbolic decision trees and tree queries glob- ally, a well-understood weakness of learning algorithms that are based on obser- vation tables. It also uses individual tree oracles each type of operation and relies on syntactic equivalence of decision trees. A more advanced learning algorithm for extended finite state machines will be able to consume fewer tree queries, leverage semantic equivalence of decision trees. Deeper integration with white- box techniques could enable the analysis of many (and more involved) operations on data values.
Conclusions and Future Work. In this paper we have focused on TP in the framework of TempEval-3. We have reviewed the 5 top performing sys- tems to gain insights into their architectures and features. We found that no system has used rich lexical semantic in- formation as a means to encode world knowledge informa- tion. We developed a new end-to-end TP system that, by incorporating rich lexical semantic information, performs better than all systems for the Event Detection and Classi- fication task, (F1-Class 72.24) and qualifies second on the TR Identification and Classification task (F1 29.69). Addi- tionally, we performed an error analysis by comparing the output of all the systems focusing on the cases where no system can give a correct answer. A detailed error analysis shows that there are easy and dif- ficult cases both for event trigger detection and TR pro- cessing. Summing up, for event detection and classifica- tion problems arise when non-prototypical POS and poly- semous lexical items are involved, while for TRs the diffi- culty lies in the creation of the pairs. Concerning the classification errors of temporal relations, we observe that inference phenomena and world knowledge have a prominent role. As for inference, the analysis of data suggests that a two step strategy should be followed: first, provide a temporal anchor to the events by addressing first the e-t and e-dct pairs, and then use this information to enrich models to learn e-e pairs. Sieve-based architectures expanded with transitivity rules like the one proposed by Xxxxxxxx et al. (2014) are addressing this problem in the right way but they require “densely” annotated data, or else the transitivity rules fail. We showed that rich lexical semantic information is bene- ficial for the TP task but not enough. Recent work (Xxxxx and Xxxxxxx, 2016; XxXxxxxx et al., 2017) has shown on a different dataset (TimeBank-Dense corpus) that word em- beddings positively contribute9 to the classification of TRs between e-e pairs both when occurring in the same sentence and in different sentences. As a result of our error analysis, we would like to stress the following aspects as possible future directions. Firstly, we need more data, systematically annotated, in the line of the TimeBank-Dense corpus. At the same time, we think that it is important to densely annotate only those temporal entities (namely events) which are actually in a temporal relation, avoiding to introduce temporal chains with events which are not temporal...
Conclusions and Future Work. In this chapter, we have presented the CONTRACT conceptual framework and architecture, and shown how they apply to aircraft aftercare. By creating a technology-dependent implementation along these lines, an application can take advantage of the reliable coordination provided by electronic contracts. The CONTRACT project aims to allow service-oriented systems to be verified on the basis of their contracts, building on work by Xxxxxxxx et al. on deontic interpreted systems (Xxxxxxxx & Xxxxxx, 2003). While this verification is beyond the scope of this chapter, it places a requirement on our framework that the properties of the target system are identified and isolatable, and a requirement on the architecture that such information can be captured in order to pass to a verification mechanism. Perhaps equally importantly, we also aim for an open source implementation built on Web Services technologies, requiring the architecture to be compatible with such an objective. Finally, taking a very practical standpoint, we have begun to construct a methodology to guide development of applications that use electronic contracts through the process from conceptual framework to deployment. To ensure wide applicability, this will be applied to CONTRACT’s other test applications in insurance settlement, software provisioning and certification testing.
Conclusions and Future Work. The present document has described the integration of aligners, previously discussed in Deliverable 5.1, into the Panacea platform. Webservices have been developed for each of these aligners. Each webservice acts as a wrapper over an aligner, and offers a subset of its original functionality (the aim being to provide easy-to-use tools for final users). We have discussed which functionalities to keep and which to discard according to the objectives of the platform. Sample workflows for each of the aligners have been presented. These give a glimpse of the potential of the platform for the final user as well. They also show how the aligners interact with the other webservices of the platform. The result of this work is the main building block for the forthcoming work on parallel aligned texts (Deliverable 5.3), as the aligners integrated in the platform will be used for this task. 15 xxxx://xxx.xxx.xxx/licenses/gpl-3.0.html Bibliography Argyle X., Xxxx X., Xxxxxxxxxxx X., and Xxxxxxx D. I. (2004.) Geometric Mapping and Alignment (GMA) tool, available at xxxx://xxx.xx.xxx.xxx/GMA/ Dandapat S., Xxxxxxx, X. X., Xxxxxx D., Xxxxxxx, S., Xxxxxxx J., Xxx, A. (2010). OpenMaTrEx: A Free/Open-Source Marker-Driven Example-Based Machine Translation System. In Proceedings of IceTAL - 7th International Conference on Natural Language Processing, Reykjavík. XxXxxx, J., Xxxxx D. (2007). Tailoring Word Alignments to Syntactic Machine Translation. In proceedings of the 45th Annual Meeting of the Association for Computational Linguistics.
Conclusions and Future Work. In this paper we presented a novel means of using EKG signals for distributing keys to enable secure inter-sensor communication. We further showed that it meets all the design goals we set forth for using physiological values for generating keys. Our security analysis and simulation studies show EKG can be used for generating keys in a BSN. In the future we are planning to improve the security of the EKA scheme by increasing the exchanged block size, implement the scheme on actual hardware, evaluate the key generated in more detail, and analyze the performance of the scheme in terms of computational and other overheads.
Conclusions and Future Work. This paper presented a fully decentralized car book- ing and payments system known as SC2Share. This system can be incorporated with car access provi- sion protocols to provide a secure and private car sharing environment without the need of any interme- diary. We have shown that SC2Share provides all ma- jor functionalities that are required for a car sharing platform, and provides security and privacy by design. The total cost of deploying and using our system on the Ethereum network sums up to USD 0.312, which in comparison to the commission fee paid to large or- ganizations is relatively cheap. Hence, we conclude that along with being functionally sound, secure and private, SC2Share is also cost effective for its users. As future work we would like to advance our sy- stem design and implementation to work with fully encrypted booking details, including the price per day, price per extra day and required number of days which are used for calculation of payments, as well as to provide formal security and privacy proofs of the advanced system. Another potential direction could be to adapt SC2Share so that it supports the use of advanced cryp- tographic primitives such as zero-knowledge proofs. Ethereum Whisper could also be used to possibly re- move the waiting time of customer to get car access.
Conclusions and Future Work. This simulation was a successful proof of concept of an International Environmental Agreement for debris mitigation. The results suggest that a coordination mechanism allowing for transfer payments between self-interested parties can provide a means of increasing compliance with debris mitigation guidelines. However, it also confirmed the tradeoff between the gains to an IEA and the number of signatories. In view of the heterogeneity of orbit selection and space debris density, the present work suggests that a promising route for debris mitigation might be development of a set of IEAs, each formulated for a modestly-sized orbital shell of interest to a limited numbers of actors. Such IEAs, dealing with local concerns over non-uniformly dispersed pollutants, could achieve significantly higher Q∗% than a single large IEA. This possibility stands in contrast to the GHG scenario, where the pollutant is rapidly dispersed through the environment, affecting a large number of nations. Appendix: Spacecraft in the Shell of Interest Spacecraft launched 7/1/01–7/1/09 with orbits crossing 700–1000 km from the Union of Concerned Scientists (UCS) Satellite Database, July 1, 2009 Spacecraft Nation Orbit Class Perigee (km) Apogee (km) Launch Date PCSat USA XXX 790 801 09/30/01 Keyhole 4 USA XXX 202 1041 10/05/01 Maroc Tubsat Morocco-Germany XXX 985 1014 12/10/01 Badr 2 Pakistan XXX 985 1014 12/10/01 Envisat-1 ESA-Belgium XXX 784 790 03/01/02 Spot 5 France-Belgium XXX 816 818 05/04/02 Fengyun 1D China (PR)-Brazil XXX 851 871 05/15/02 Xxxx 0 Xxxxxx XXX 000 000 00/00/00 Xxxxx 00 Xxxxxx XXX 949 1016 05/28/02 NOAA-17 USA XXX 806 821 06/24/02 Alsat-1 Algeria XXX 680 744 11/28/02 LatinSat B Argentina XXX 631 701 12/20/02 Coriolis USA XXX 391 846 01/06/03 Molniya-1T Russia Elliptical 623 40644 04/02/03 Parus 94 Russia XXX 970 1014 06/04/03 Xxxxxxx 0-00 Xxxxxx Elliptical 631 39788 06/19/03 MOST Canada XXX 831 855 06/30/03 MIMOSA Xxxxx Xxxxxxxx XXX 000 845 06/30/03 Cubesat XI-IV Japan XXX 822 828 06/30/03 Cute-1 Japan XXX 819 831 06/30/03 IRS-P6 India XXX 802 875 10/17/03 DMSP 5D-3 F16 USA XXX 000 000 00/00/00 XXXXX 0 Xxxxx (XX)-Xxxxxx XXX 773 774 10/21/03 Chuangxin 1 China (PR)-ESA XXX 686 758 10/21/03 SERVIS-1 Japan XXX 984 1015 10/30/03 Formosat-2 Taiwan-USA XXX 725 743 05/21/04 LatinSat-C Argentina XXX 687 753 06/29/04 DEMETER France XXX 685 712 06/29/04 Xxxxxx-0 Xxxxx XXX 000 779 06/29/04 Saudicomsat-1 Saudi Arabia XXX 699 734 06/29/04 Saudicomsat-2 Saudi Arabia XXX 699 764...
