We introduce RelNet: a new model for relational reasoning. RelNet is a memory augmented neural network which models entities as abstract memory slots and is equipped with an additional relational memory which models relations between all memory pairs. The model thus builds an abstract knowledge graph on the entities and relations present in a document which can then be used to answer questions ...

Robust measurements of network dynamics are increasingly important to the design and operation of large internetworks like the Internet. However, administrative diversity makes it impractical to monitor every link on an end-to-end path. At the same time, it is difficult to determine the performance characteristics of individual links from end-to-end measurements of unicast traffic. In this pape...

Vehicular ad-hoc networks (VANETs) aim to increase the safety of passengers by making information available beyond the driver’s knowledge. The challenging properties of VANETs such as their dynamic behavior and intermittently connected feature need to be considered when designing a reliable communication protocol in a VANET. In this study, we propose an epidemic and density adaptive protocol fo...

The application of ontologies in information systems is becoming increasingly prevalent. In particular, the use of ontologies as a conceptual view for the purpose of accessing information stored in underlying data repositories can increase the effectiveness of mechanisms for information querying and browsing. However, the process of ontology construction requires expertise in DLs, which is a sc...

Despite incredible recent advances in machine learning, building machine learning applications remains prohibitively time-consuming and expensive for all but the best-trained, best-funded engineering organizations. This expense comes not from a need for new and improved statistical models but instead from a lack of systems and tools for supporting end-to-end machine learning application develop...

The use of converge-cast traffic and in-network processing to minimize the amount of transmitted data is a frequently used approach to increase the lifetime of a wireless sensor network (WSN). Consequently when aiming at security for WSNs, one has to focus primarily on protecting this type of traffic. Some recent proposals support the encryption of convergecast traffic with in-network processin...

This study examines the effect of jitter and end-to-end delay happen in the transmission of real time applications. The study analyzes the performance during sending and receiving of voice and video packets. The proposed technique is applied on the buffer at the receiver side which divides the incoming packets into same size chunks. The end-to-end delay and jitter is high when the packet size i...

In a number of distributed computing applications, messages must be transmitted on demand between processes running at different locations on the Internet. The end-to-end delays experienced by the messages have a significant “random” component due to the complicated nature of network traffic. We propose a method based on delay-regression estimation to achieve low end-to-end delays for message t...

We introduce ZBCast, a primitive that provides Persistent Global Total Order for messages delivered to a group of participants that can crash and subsequently recover and that can become temporarily partitioned and then remerge due to network conditions. The paper presents in detail and proves the correctness of an efficient algorithm that implements ZBCast on top of existing group communicatio...

Many celebrate the Internet’s ability to connect individuals and facilitate collective action toward a common goal. While numerous systems have been designed to support particular aspects of collective action, few systems support participatory, end-to-end collective action in which a crowd or community identifies opportunities, formulates goals, brainstorms ideas and develops plans, mobilizes, ...