Over the past decade, we have witnessed the Internet becoming increasingly centralized in the hands of a small number of giant technology firms, that control many of the most popular applications and the content they ...
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ISBN:
(数字)9781728188270
ISBN:
(纸本)9781728188287
Over the past decade, we have witnessed the Internet becoming increasingly centralized in the hands of a small number of giant technology firms, that control many of the most popular applications and the content they host on their platforms. In addition, in the majority of instances today, access to the Internet is usually provided through local internet service providers (ISPs) in each country. Governments in different jurisdictions can exert pressure on these technology firms and ISPs to enforce restrictions on Internet usage by their citizens, such as the blocking access to certain sites and/or content. In this paper, we present a promising new approach to circumventing some of these issues. Our decentralized web (DWeb) proposal makes use of a mesh network to connect community based routers. In addition, objects on the DWeb are indexed using blockchain technology, which allows for secure storage of immutable object references, and integrity checking of the data being served to users. Our DWeb design is also capable of operating during network partitions, and is able to quickly re-synchronize withthe larger network once connectivity has been restored. the proposed concept is simulated using ns-3, Multichain and Docker technologies. the performance of the system is analysed for different cache replacement strategies with a varying number of gateway nodes. the Popularity-based cache replacement algorithm outperforms the other studied strategies, which show it is the best-suited strategy for the DWeb architecture. In summary, DWeb solves issues like data integrity, centralization and controlled access to the Internet, and the overall framework exhibits fair performance in the studied simulated environment.
this paper provides a theoretical insight for the integration of logical constraints into a learning process. In particular it is proved that a fragment of the Lukasiewicz logic yields a set of convex constraints. the...
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ISBN:
(纸本)9781577358008
this paper provides a theoretical insight for the integration of logical constraints into a learning process. In particular it is proved that a fragment of the Lukasiewicz logic yields a set of convex constraints. the fragment is enough expressive to include many formulas of interest such as Horn clauses. Using the isomorphism of Lukasiewicz formulas and McNaughton functions, logical constraints are mapped to a set of linear constraints once the predicates are grounded on a given sample set. In this framework, it is shown how a collective classification scheme can be formulated as a quadratic programming problem, but the presented theory can be exploited in general to embed logical constraints into a learning process. the proposed approach is evaluated on a classification task to show how the use of the logical rules can be effective to improve the accuracy of a trained classifier.
Cardinality constraints impose the requirement that at least (or at most) a certain number of literals in a set are true. In probabilistic knowledge bases, it is often helpful to use cardinality constraints to represe...
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In this work, we demonstrate high-performance NMOS GaN-based logic gates including NOT, NAND, and NOR by integration of E/D-mode GaN MOSHEMTs on silicon substrates. the load-to-driver resistance ratio was optimized in...
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ISBN:
(纸本)9781538629277
In this work, we demonstrate high-performance NMOS GaN-based logic gates including NOT, NAND, and NOR by integration of E/D-mode GaN MOSHEMTs on silicon substrates. the load-to-driver resistance ratio was optimized in these logic gates by using a multi-finger gate design of E-mode GaN MOSHEMT to increase the logic swing voltage and noise margins, and reduce the transition periods. State-of-the-art NMOS inverter was achieved withlogic swing voltage of 4.93 V at a supply voltage of 5 V, low-input noise margin of 2.13 V and high-input noise margin of 2.2 V at room temperature. Excellent high temperature performance, at 300 C, was observed with a logic swing of 4.85 V, low-input noise margin of 1.85 V and high output noise margin of 2.2V. In addition, GaN-based NAND and NOR NMOS logic gates are reported for the first time with very good performance. Finally, the logic gates were monolithically integrated with high-voltage E-mode power transistors, which reveals a significant step forward towards monolithic integration of GaN power transistors with gate drivers.
In the context of Cyber-Physical Systems (CPSs), Single Board Computers (SBCs) could provide adaptivity for various present and future applications, and pemiit scalability through clusters of SBCs while possibly save ...
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ISBN:
(纸本)9781538681671
In the context of Cyber-Physical Systems (CPSs), Single Board Computers (SBCs) could provide adaptivity for various present and future applications, and pemiit scalability through clusters of SBCs while possibly save energy consumption. In this paper, we explore energy efficiency of a Zynq Ultrascale+ based board developed in the context of the AXIOM project. While an entire framework based on the Zynq Ultrascale+ is still in progress, the board is already available and capable of running a full Linux OS and it is possible to measure energy consumption. We demonstrate a possible architecture based on DataFlow-threads (DF-threads), a novel execution model, on the Zynq Ultrascale+ platform, in order to assess the energy efficiency of DF-threads. We measured the power consumption, while the RAW and RDMA message types were transceived through board-to-board interconnects.
the family health strategy in Brazil is a program that aims at universal access to actions and services of health promotion, protection, and recovery. In this nationwide program, teams of health professionals are resp...
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ISBN:
(纸本)9781538674499
the family health strategy in Brazil is a program that aims at universal access to actions and services of health promotion, protection, and recovery. In this nationwide program, teams of health professionals are responsible for attending and promoting health actions to a community of a specific area. these teams perform home visits that will support the patients of their respective target areas who demand special health care. To help in the scheduling process of these visits, we propose a new bi-objective problem and two methods for its implementation. the main method is an Ant Colony Optimization-based (ACO) heuristic. the other one is an exact linear programming algorithm designed to allow for experimental comparisons. Our experiments suggest that our ACO surpassed the exact solver in runtime, reaching the optimal solutions for all the solutions known. Amortized complexity analysis showed that the ACO heuristic has sublinear complexity over the number of patients.
the problem of quantitative inclusion formalizes the goal of comparing quantitative dimensions between systems such as worst-case execution time, resource consumption, and the like. Such systems are typically represen...
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ISBN:
(纸本)9783319961422;9783319961415
the problem of quantitative inclusion formalizes the goal of comparing quantitative dimensions between systems such as worst-case execution time, resource consumption, and the like. Such systems are typically represented by formalisms such as weighted logics or weighted automata. Despite its significance in analyzing the quality of computing systems, the study of quantitative inclusion has mostly been conducted from a theoretical standpoint. In this work, we conduct the first empirical study of quantitative inclusion for discounted-sum weighted automata (DS-inclusion, in short). Currently, two contrasting approaches for DS-inclusion exist: the linear-programming based DetLP and the purely automata-theoretic BCV. theoretical complexity of DetLP is exponential in time and space while of BCV is PSPACE-complete. All practical implementations of BCV, however, are also exponential in time and space. Hence, it is not clear which of the two algorithms renders a superior implementation. In this work we present the first implementations of these algorithms, and perform extensive experimentation to compare between the two approaches. Our empirical analysis shows how the two approaches complement each other. this is a nuanced picture that is much richer than the one obtained from the theoretical study alone.
Processing in memory (PIM) moves computation into memories withthe goal of improving throughput and energy-efficiency compared to traditional von Neumann-based architectures. Most existing PIM architectures are eithe...
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Processing in memory (PIM) moves computation into memories withthe goal of improving throughput and energy-efficiency compared to traditional von Neumann-based architectures. Most existing PIM architectures are either general-purpose but only support atomistic operations, or are specialized to accelerate a single task. We propose the Parallel Processor in Associative Content-addressable memory (PPAC), a novel in-memory accelerator that supports a range of matrix-vector-product (MVP)-like operations that find use in traditional and emerging applications. PPAC is, for example, able to accelerate low-precision neural networks, exact/approximate hash lookups, cryptography, and forward error correction. the fully-digital nature of PPAC enables its implementation with standard-cell-based CMOS, which facilitates automated design and portability among technology nodes. To demonstrate the efficacy of PPAC, we provide post-layout implementation results in 28nm CMOS for different array sizes. A comparison with recent digital and mixed-signal PIM accelerators reveals that PPAC is competitive in terms of throughput and energy-efficiency, while accelerating a wide range of applications and simplifying development.
the fundamental model-checking problem, given as input a model and a specification, asks for the algorithmic verification of whether the model satisfies the specification. Two classical models for reactive systems are...
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Rule-based systems are important in application domains such as artificial intelligence and business rule engines. When translated into an implementation, simple expressions in rules may map to a large body of code th...
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