Carleton University

About: Carleton University is a education organization based out in Ottawa, Ontario, Canada. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 15852 authors who have published 39650 publications receiving 1106610 citations.

On implementation of min-sum algorithm and its modifications for decoding low-density Parity-check (LDPC) codes

Abstract: The effects of clipping and quantization on the performance of the min-sum algorithm for the decoding of low-density parity-check (LDPC) codes at short and intermediate block lengths are studied. It is shown that in many cases, only four quantization bits suffice to obtain close to ideal performance over a wide range of signal-to-noise ratios. Moreover, we propose modifications to the min-sum algorithm that improve the performance by a few tenths of a decibel with just a small increase in decoding complexity. A quantized version of these modified algorithms is also studied. It is shown that, when optimized, modified quantized min-sum algorithms perform very close to, and in some cases even slightly outperform, the ideal belief-propagation algorithm at observed error rates.

When big data meets software-defined networking: SDN for big data and big data for SDN

Abstract: Both big data and software-defined networking (SDN) have attracted great interests from both academia and industry. These two important areas have traditionally been addressed separately in the most of previous works. However, on the one hand, the good features of SDN can greatly facilitate big data acquisition, transmission, storage, and processing. On the other hand, big data will have profound impacts on the design and operation of SDN. In this paper, we present the good features of SDN in solving several issues prevailing with big data applications, including big data processing in cloud data centers, data delivery, joint optimization, scientific big data architectures and scheduling issues. We show that SDN can manage the network efficiently for improving the performance of big data applications. In addition, we show that big data can benefit SDN as well, including traffic engineering, cross-layer design, defeating security attacks, and SDN-based intra and inter data center networks. Moreover, we discuss a number of open issues that need to be addressed to jointly consider big data and SDN in future research.

Simple and efficient near-infrared organic chromophores for light-emitting diodes with single electroluminescent emission above 1000 nm

Abstract: A series of NIR organic chromophores with donor-pi-acceptor-pi-donor structure are synthesized. Good thermal stability and strong photoluminescence in solid state render them suitable for application in light-emitting diodes. Exclusive near-infrared emission at 1080 nm with external quantum efficiency of 0.28% is obtained from the nondoped OLEDs. The longest electroluminescence wave-length is 1220 nm.

Cholecystokinin-tetrapeptide induces panic attacks in patients with panic disorder.

Abstract: Cholecystokinin-tetrapeptide (CCK-4) and placebo were injected to 11 panic disorder patients. CCK-4 induced a panic attack identical to spontaneous panic attacks in all patients; placebo did not in...

Collective guilt: Emotional reactions when one's group has done wrong or been wronged

Abstract: We examine the conditions that facilitate feelings of collective guilt, and consider the prevalent historial and contemporary conditions that inhibit such guilt. Specifically, we outline the important role that self-categorisation as a member of a group that is responsible for illegitimately harming another group plays in inducing collective guilt. We also consider strategies that legitimise the harm done, along with how the costs of creating a more just relationship with the harmed group can affect the extent to which collective guilt is experienced. The ease of undermining the necessary antecedents for feeling collective guilt suggests that it may be a relatively rare emotional experience, particularly during ongoing intergroup hostilities. We present studies illustrating the important role that categorisation plays in both collective guilt acceptance and its assignment to members of other social groups who have harmed the ingroup. We illustrate the consequences for social change processes when the nece...