Abstract The scientific literature peer review workflow is under strain because of the constant growth submission volume. One response to this make initial screening submissions less time intensive. Reducing and would save millions working hours potentially boost academic productivity. Many platforms have already started use automated tools, prevent plagiarism failure respect format requirements. Some tools even attempt flag quality a study or summarise its content, reduce reviewers’ load....

Next-generation WLANs will support the use of wider channels, which is known as channel bonding, to achieve higher throughput. However, because both center frequency and width are autonomously selected by each WLAN, channels may also increase competition with other operating in same area for limited available spectrum, thus causing opposite effect. In this paper, we analyse interactions between a group neighboring that bonding evaluate impact those on achievable A Continuous Time Markov...

Crowdsourcing has become a standard methodology to collect manually annotated data such as relevance judgments at scale. On crowdsourcing platforms like Amazon MTurk or FigureEight, crowd workers select tasks work on based different dimensions task reward and requester reputation. Requesters then receive the of who self-selected into completed them successfully. Several workers, however, preview tasks, begin working them, reaching varying stages completion without finally submitting their...

Crowdsourcing has become a standard methodology to collect manually annotated data such as relevance judgments at scale. On crowdsourcing platforms like Amazon MTurk or FigureEight, crowd workers select tasks work on based different dimensions task reward and requester reputation. Requesters then receive the of who self-selected into completed them successfully. Several workers, however, preview tasks, begin working them, reaching varying stages completion without finally submitting their...

Dynamic Channel Bonding (DCB) allows for the dynamic selection and use of multiple contiguous basic channels in Wireless Local Area Networks (WLANs). A WLAN operating under DCB can enjoy a larger bandwidth, when available, therefore achieve higher throughput. However, bandwidths also increases contention with adjacent WLANs, which result longer delays accessing channel consequently, lower In this paper, scenario consisting WLANs using within carrier-sensing range one another is considered....

There is growing evidence that search engines produce results are socially biased, reinforcing a view of the world aligns with prevalent social stereotypes. One means to promote greater transparency algorithms - which typically complex and proprietary raise user awareness biased result sets. However, date, little known concerning how users perceive bias in results, degree their perceptions differ and/or might be predicted based on attributes. particular area has recently gained attention,...

The ubiquity of the Internet and widespread proliferation electronic devices has resulted in flourishing microtask crowdsourcing marketplaces, such as Amazon MTurk. An aspect that remained largely invisible is work environments; defined hardware software affordances at disposal crowd workers which are used to complete microtasks on platforms. In this paper, we reveal significant role environments shaping work. First, through a pilot study surveying good bad experiences had with UI elements...

In the context of micro-task crowdsourcing, each task is usually performed by several workers. This allows researchers to leverage measures agreement among workers on same task, estimate reliability collected data and better understand answering behaviors participants. While many between annotators have been proposed, they are known for suffering from problems abnormalities. this paper, we identify main limits existing in crowdsourcing context, both means toy examples as well with real-world...

Crowdsourcing is a popular technique to collect large amounts of human-generated labels, such as relevance judgments used create information retrieval (IR) evaluation collections. Previous research has shown how collecting high quality labels from crowdsourcing platform can be challenging. Existing assurance techniques focus on answer aggregation or the use gold questions where ground-truth data allows check for responses.

There have been multiple calls for integrating topics related to fairness, accountability, transparency, ethics (FATE) and social justice into Data Science curricula, but little exploration of how this might work in practice. This paper presents the findings a collaborative auto-ethnography (CAE) engaged by MSc teaching team based at University Sheffield (UK) Information School where FATE/Critical Studies (CDS) core part curriculum since 2015/16. In paper, we adopt CAE approach reflect on...

We provide the first rigorous analysis of proportional fairness in 802.11 WLANs. This corrects prior approximate studies. show that there exists a unique fair rate allocation and completely characterise terms new airtime quantity, total air-time.

In this paper we consider graph-coloring problems, an important subset of general constraint satisfaction problems that arise in wireless resource allocation. We constructively establish the existence fully decentralized learning-based algorithms are able to find a proper coloring even presence strong sensing restrictions, particular asymmetry type encountered when hidden terminals present. Our main analytic contribution is sufficient conditions on behavior ensure solvers satisfying...

Paid micro-task crowdsourcing has gained in popularity partly due to the increasing need for large-scale manually labelled datasets which are often used train and evaluate Artificial Intelligence systems. Modern paid platforms use a piecework approach rewards, meaning that workers each task they complete, given their work quality is considered sufficient by requester or platform. Such an creates risks workers; may be rejected without being rewarded, working on poorly rewarded tasks, light of...

Crowdsourcing is a popular methodology to collect manual labels at scale. Such are often used train AI models and, thus, quality control key aspect in the process. One of most assurance mechanisms paid micro-task crowdsourcing based on gold questions: use small set tasks which requester knows correct answer able directly assess crowd work quality. In this paper, we show that such mechanism prone an attack carried out by group colluding workers easy implement and deploy: inherent size limit...

Due to the increasing amount of information shared online every day, need for sound and reliable ways distinguishing between trustworthy non-trustworthy is as present ever. One technique performing fact-checking at scale employ human intelligence in form crowd workers. Although earlier work has suggested that workers can reliably identify misinformation, cognitive biases may reduce quality truthfulness judgments this context. We performed a systematic exploratory analysis publicly available...

One of the most popular quality assurance mechanisms in paid micro-task crowdsourcing is based on gold questions: use a small set tasks which requester knows correct answer and, thus, able to directly assess crowd work quality. In this paper, we show that such mechanism prone an attack carried out by group colluding workers easy implement and deploy: inherent size limit can be exploited building inferential system detect parts job are more likely questions. The described robust various forms...

Graph coloring problem arises in numerous networking applications. We solve it a fully decentralized way (ı.e., with no message passing). propose novel algorithm that is automatically responsive to topology changes, and we prove converges proper O(N log N) time high probability for generic graphs, when the number of available colors greater than Δ, maximum degree graph, O(logN) if Δ = O(1). believe proof techniques used this paper are independent interest provide new insight into properties...

Crowdsourcing platforms provide a convenient and scalable way to collect human-generated labels on-demand. This data can be used train Artificial Intelligence (AI) systems or evaluate the effectiveness of algorithms. The datasets generated by means crowdsourcing are, however, dependent on many factors that affect their quality. These include, among others, population sample bias introduced aspects like task reward, requester reputation, other filters design.In this paper, we analyse...

We consider virtualization of network capacity in 802.11 WLANs and mesh networks. show that allocating total airtime slices to ISPs is analogous a fraction available time-slots TDMA. establish the max-min fair flow rate allocation within an ISP slice can be characterized independently policy employed other slices. Building on these observations, we present lightweight, distributed algorithm for among rates each slice.

Wireless sensor networks can be a low-cost and efficient solution for monitoring environmental parameters in agriculture. In this work, we analyze the potentialities of using network based on general-purpose Internet Things protocol such as OpenThread physical chemical sensors. This article aims to test verify platform functionalities when temperature, relative humidity, visible infrared irradiance real environment. We designed wireless nodes data collection visualization dashboard. tested...

This paper introduces the problem of Primary Scrambling Code (PSC) selection in small cell networks and proposes a novel optimisation technique. Small cells introduce challenges not present conventional macrocell scrambling code allocation, including need for dynamic scalable distributed allocation algorithms, support unplanned organic deployments. To best our knowledge this is first study addressing issue networks. We propose decentralized learning algorithm which does require any...

We propose a privacy-enhanced matrix factorization recommender that exploits the fact users can often be grouped together by interest. This allows form of “hiding in crowd” privacy. introduce novel approach suited to making recommendations shared group (or “nym”) setting and BLC algorithm for carrying out this manner. demonstrate increased privacy does not come at cost reduced recommendation accuracy.