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Time is a fundamental aspect of human cognition and action. All languages have developed rich means to express various facets of time, such as bare time spans, their position on the time line, or their duration. The articles in this volume give an overview of what we know about the neural and cognitive representations of time that speakers can draw on in language. Starting with an overview of the

We consider the problem of detecting exploits based on return-oriented programming. In contrast to previous works we investigate to which extent we can detect ROP payloads by only analysing streaming data, i.e., we do not assume any modifications to the target machine, its kernel or its libraries. Neither do we attempt to execute any potentially malicious code in order to determine if it is an att

We present a model for supporting scoping decisions that is based on an analysis of the ROI for a given feature. Employing a ROI threshold value for making scoping decisions, the utility of the model was investigated using data from a single large project and identified a group of outlying features responsible for a disproportionate wasted investment. These initial results are promising and indica

Test managers have to repeatedly select test cases for test activities during evolution of large software systems. Researchers have widely studied automated test scoping, but have not fully investigated decision support with human interaction. We previously proposed the introduction of visual analytics for this purpose. Aim: In this empirical study we investigate how to design such decision suppor

In this paper, we investigate the impact of spatial coupling on the thresholds of turbo-like codes. Parallel concatenated and serially concatenated convolutional codes as well as braided convolutional codes (BCCs) are compared by means of an exact density evolution (DE) analysis for the binary erasure channel (BEC). We propose two extensions of the original BCC ensemble to improve its threshold an

This paper is a survey of how linear attacks can be applied on stream ciphers. It gives an overview of the development of linear attacks and a short theoretical explanation on how a linear attack on a stream cipher is typically launched today. The main part of the paper is then a more detailed description of the application of linear attacks on three stream cipher designs, namely Grain, Pomaranch,

With the introduction of standards such as DSRC and WAVE, vehicular ad hoc networks (VANET) are being considered as candidates to improve road safety. Safety applications developed on top of VANET enable vehicle and driver improved awareness of the road situation through vehicles sharing their status and knowledge of the road conditions. In order for these systems to operate, they depend on reliab

In this paper the feasibility of using a fully integrated 65nm CMOS PA in future machine-type communication standards has been investigated. The integrated PA investigated shows a linear output power in VSWR 2:1 of minimum 24dBm. A VSWR of 2:1 with an associated 3.1dB front-end insertion loss corresponds to a VSWR of 5:1 at the antenna, which is a conservative number. The PAE at 1dB compression po

Architectural improvements for a multicarrier faster-than-Nyquist (FTN) decoder are presented in this work. A previously designed FTN decoder has been optimized during implementation, especially with respect to memory considerations to reduce area and power. The memory optimized architecture achieves 28.7% savings in overall chip area and provides 43.8% savings in the estimated power compared to t

A Multi-band CMOS front-end was designed and fabricated in a 0.13μm CMOS process. The front-end employs a common-gate low noise amplifier (LNA) with capacitive cross coupling (CCC) technique and a double balanced mixer. The band selection is performed by switching capacitors in and out of the LNA load, changing the resonance frequencies ranging from 2.5GHz to 4.5GHz in 16 different frequency bands

Background: The fix-cache approach to regression test selection was proposed to identify the most fault-prone files and corresponding test cases through analysis of fixed defect reports. Aim: The study aims at evaluating the efficiency of this approach, compared to the previous regression test selection strategy in a major corporation, developing embedded systems. Method: We launched a post-hoc

A receiver front-end supporting contiguous and non-contiguous intra-band carrier aggregation scenarios with a fully integrated spectrum sensor that can detect both in-gap and out-of-band blockers has been implemented in 65nm CMOS technology. An NF of 2.5dB is achieved using a noise canceling LNTA, and linearized OTAs are used to achieve an IIP3 improvement of up to 6.5dB in-band and 11dB at the fi

Efficient scope management is a core part of software release management and often a key factor in releasing successful software products to the market. In a case when not all the requirements for the next software product release are known ‘a priori’ and when new requirements are issued throughout the project, the risk of overscoping by including more functionality than can be implemented increas

Abstract—Background: History based regression testing was proposed as a basis for automating regression test selection, for the purpose of improving transparency and test efficiency, at the function test level in a large scale software development organization. Aim: The study aims at investigating the current manual regression testing process as well as adopting, implementing and evaluating the ef

Braided convolutional codes (BCCs) are a class of spatially coupled turbo-like codes with a structure that is similar to product codes or generalized LDPC codes. We derive explicit input/output transfer functions of the component convolutional decoders for the binary erasure channel (BEC). These are then used to formulate exact density evolution equations for blockwise BCCs under belief propagatio