184,291 research outputs found
Reach and rich : the new economics of information and the provision of on-line legal services in the UK
The paper considers a number of issues including the use of the Web as an opportunity for smaller firms to break free from the traditional indicators of reputation and expertise such as the size and opulence of offices. It also reflects on the use of client-specific Extranets in addition to publicly available Internet sites. The paper concludes that although the Web provides reach, offering richness and the sense of community required for creating and sustaining relationships with potential clients can be difficult. Some suggestions are made for enhancing 'Richness' in Web sites
Recommended from our members
Using an Online Sample to Estimate the Size of an Offline Population.
Online data sources offer tremendous promise to demography and other social sciences, but researchers worry that the group of people who are represented in online data sets can be different from the general population. We show that by sampling and anonymously interviewing people who are online, researchers can learn about both people who are online and people who are offline. Our approach is based on the insight that people everywhere are connected through in-person social networks, such as kin, friendship, and contact networks. We illustrate how this insight can be used to derive an estimator for tracking the digital divide in access to the Internet, an increasingly important dimension of population inequality in the modern world. We conducted a large-scale empirical test of our approach, using an online sample to estimate Internet adoption in five countries (n ≈ 15,000). Our test embedded a randomized experiment whose results can help design future studies. Our approach could be adapted to many other settings, offering one way to overcome some of the major challenges facing demographers in the information age
Robust Power Allocation for UAV-aided ISAC Systems with Uncertain Location Sensing Errors
Unmanned aerial vehicle (UAV) holds immense potential in integrated sensing
and communication (ISAC) systems for the Internet of Things (IoT). In this
paper, we propose a UAV-aided ISAC framework and investigate three robust power
allocation schemes. First, we derive an explicit expression of the Cram\'er-Rao
bound (CRB) based on time-of-arrival (ToA) estimation, which serves as the
performance metric for location sensing. Then, we analyze the impact of the
location sensing error (LSE) on communications, revealing the inherent coupling
relationship between communication and sensing. Moreover, we formulate three
robust communication and sensing power allocation problems by respectively
characterizing the LSE as an ellipsoidal distributed model, a Gaussian
distributed model, and an arbitrary distributed model. Notably, the
optimization problems seek to minimize the CRB, subject to data rate and total
power constraints. However, these problems are non-convex and intractable. To
address the challenges related to the three aforementioned LSE models, we
respectively propose to use the -Procedure and alternating
optimization (-AO) method, Bernstein-type inequality and successive
convex approximation (BI-SCA) method, and conditional value-at-risk (CVaR) and
AO (CVaR-AO) method to solve these problems. Finally, simulation results
demonstrate the robustness of our proposed UAV-aided ISAC system against the
LSE by comparing with the non-robust design, and evaluate the trade-off between
communication and sensing in the ISAC system
Identifying networks with common organizational principles
Many complex systems can be represented as networks, and the problem of
network comparison is becoming increasingly relevant. There are many techniques
for network comparison, from simply comparing network summary statistics to
sophisticated but computationally costly alignment-based approaches. Yet it
remains challenging to accurately cluster networks that are of a different size
and density, but hypothesized to be structurally similar. In this paper, we
address this problem by introducing a new network comparison methodology that
is aimed at identifying common organizational principles in networks. The
methodology is simple, intuitive and applicable in a wide variety of settings
ranging from the functional classification of proteins to tracking the
evolution of a world trade network.Comment: 26 pages, 7 figure
Reliable and Low-Latency Fronthaul for Tactile Internet Applications
With the emergence of Cloud-RAN as one of the dominant architectural
solutions for next-generation mobile networks, the reliability and latency on
the fronthaul (FH) segment become critical performance metrics for applications
such as the Tactile Internet. Ensuring FH performance is further complicated by
the switch from point-to-point dedicated FH links to packet-based multi-hop FH
networks. This change is largely justified by the fact that packet-based
fronthauling allows the deployment of FH networks on the existing Ethernet
infrastructure. This paper proposes to improve reliability and latency of
packet-based fronthauling by means of multi-path diversity and erasure coding
of the MAC frames transported by the FH network. Under a probabilistic model
that assumes a single service, the average latency required to obtain reliable
FH transport and the reliability-latency trade-off are first investigated. The
analytical results are then validated and complemented by a numerical study
that accounts for the coexistence of enhanced Mobile BroadBand (eMBB) and
Ultra-Reliable Low-Latency (URLLC) services in 5G networks by comparing
orthogonal and non-orthogonal sharing of FH resources.Comment: 11pages, 13 figures, 3 bio photo
- …