Primary prophylaxis of sudden cardiac death by implantable cardioverter-defibrillator (ICD) treatment will greatly increase ICD implant numbers. This will have major cost and infrastructure consequences. Those studies that have demonstrated the clinical need have been industry driven. Whether their conclusions should now expand ICD indications is debated, but it would be perverse to suggest tha...

LoRaWAN is one of the new and updated standards for IoT applications. However, the expected high density of peripheral devices for each gateway, and the absence of an operative synchronization mechanism between the gateway and peripherals, all of which challenges the networks scalability. In this paper, we propose to normalize the communication of LoRaWAN networks using a Reservation-ALOHA (R-A...

Memory and energy optimization strategies are essential for the resource-constrained wireless sensor network (WSN) nodes. In this article, a new memory-optimized and energy-optimized multithreaded WSN operating system (OS) LiveOS is designed and implemented. Memory cost of LiveOS is optimized by using the stack-shifting hybrid scheduling approach. Different from the traditional multithreaded OS...

The dynamic programming approach of Weitzman (1979) has recently been used in several papers estimating consumer sequential search (Kim et al., 2010; Ghose et al. 2012; Honka and Chintagunta, 2014; Chen and Yao, 2014). The popularity of this method owes to its ability to exactly characterize the sequence of choices made by consumers. However, in order to characterize this sequence, knowledge of...

In the IaaS (Infrastructure as a Service) cloud environment where virtual machines are deployed, a scalable and reliable storage service is indispensable for hosting virtual machine images, backups, large volumes of application data, etc. Amazon S3 (Simple Storage Service) [3] is one of the storage services to meet such demands for Amazon EC2 [2] users. Swift [9] takes the similar role in OpenS...

When dealing with soft real-time tasks with highly variable execution times in open systems, an approach that is becoming popular is to use feedback scheduling techniques to dynamically adapt the bandwidth reserved to each task. According to this model, each task is assigned an adaptive reservation, with a variable budget and a constant period. The response times of the jobs of the task are mon...

A BROAD CLASS of economic search problems can be cast in the following form. There are a number of different opportunities or sources, each yielding an unknown reward. The uncertainty about the reward from a source can be eliminated, at a fee, by searching or sampling. Each source has its own independent probability distribution for the reward, search cost, and search time. Sources are sampled ...

We analyse firms’ incentives to invest in scientific research as we characterize the optimal contracting of scientists intrinsically motivated to produce basic science. In our setting, firms face a large pool of heterogeneous scientists, with different degrees of scientific ability, and each scientist has reservation utility that is non-decreasing with their ability. Once hired scientists can s...

We propose a model of price formation in Double Auction markets which employs the strong simplifying assumption that agents neglect strategic feedback effects and regard themselves as playing a Game against Nature. Agents otherwise are strict expected utihty maximizers employing Bayesian updating procedures. We prove the optimality of simple (‘aggressive reservation price’) strategies in our ge...

This paper studies resource reservation mechanisms that can be incorporated into distributed multi{path Quality{of{Service (QoS) routing algorithms. Three resource reservation schemes, the forward reservation scheme, the backward reservation scheme and the hybrid reservation scheme, are investigated. Protocols that combine these resource reservation schemes with a ticket{based distributed QoS r...