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. 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. 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 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. 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. 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. 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. 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. 363 In this paper, we have shown how BPO SLAs can be modelled by combining mecha- 364 nisms for modelling computational SLAs with mechanisms to model business processes 365 and PPIs. Specifically, we first analysed the requirements for modelling BPO SLAs af- 366 ter a study of the state of the art in SLAs for both computational and non–computational 367 services and the analysis of more than 20 different BPO SLAs developed by 4 different 368 organisations. The conclusion of this analysis was that the structure of SLAs for BPO 369 services and the definition of SLOs, penalties, and rewards are very similar to those 370 of SLAs defined for computational services. However, the service description and the 371 definition of the SLA metrics of BPO SLAs and computational SLAs present signif- 372 icant differences. The reason is that, unlike computational services, BPO services are 373 process–aware and this has an strong influence on how they are described. 374 On the light of these requirements, our proposal to model BPO SLAs combines 375 well founded approaches and standards for modelling computational SLAs and PPIs. 376 Specifically, we rely on WS–Agreement [15], which provides the general SLA struc- 377 ture, BPMN [28], which is used to model the business process related to the service, 378 PPINOT [13], which allows the definition of metrics, and iAgree [16], which provides 379 a language to define SLOs and penalties. 380 The application of the proposed approach to a number of real scenarios allowed us 381 to conclude that our approach is able to model all possible situations in these scenarios 382 except for some limitations concerning the definition of SLA metrics as detailed in 383 Section 5.2. Some of them could be solved by applying minor changes to the PPINOT 384 metamodel. However, other limitations require more significant changes that shall be 385 carried out in future work. 386 Apart from addressing these limitations, there are two lines of future work. On the 387 one hand, we want to build a SLA–aware PAIS that uses these models to improve the 388 automation of certain tasks related to both the SLAs and their fulfilment. To this end, we 389 plan to take advantage of the existing tool support for iAgree and PPINOT to automate 390 the definition, monitoring and analysis of the aforementioned SLAs for BPO services. 391 On the other hand, we want to include additional information in SLAs to cover not only 392 performance guarantees, but other aspects t...
