Crowdsourcing is a market of steadily-growing importance upon which both academia and industry increasingly rely. However, this appears to be inherently infested with significant share malicious workers who try maximise their profits through cheating or sloppiness. This serves undermine the very merits crowdsourcing has come represent. Based on previous experience as well psychological insights, we propose use game in order attract retain larger reliable frequently-requested tasks such...

Three-dimensional (3D) Model-Based Vision enables observed image features to be used determine the pose (ie. position and attitude) of a known 3D object with respect camera (or alternatively, viewpoint model) [1]. The knowledge concerning that is perform locations salient easily features, such as corners high-contrast edges (eg. surface marking sand crease edges).

This study was undertaken to substantiate the thesis that potentiation of stress-induced secretion ACTH by methyl xanthines is due their ability inhibit 3′5′-cyclic nucleotide phosphodiesterase. The effect various drugs on phosphodiesterase activity anterior pituitary, median eminence, brain cortex, and heart rats determined both in vitro vivo. Incubation homogenates with caffeine theophylline markedly reduced all tissues studied except heart, which showed a significant reduction only...

Smart contracts are designed to facilitate the performance of trackable and irreversible transactions without need for third party involvement. Therefore, as a result this lack oversight, it is essential that these smart written properly tested. In paper, we examine some prominent risks challenges involved with writing implementing discuss how each can be overcome. We focus on executed Ethereum, most contract platform.

Abstract An explicit three-dimensional (3D) representation is constructed from feature points extracted a sequence of images taken by moving camera. The are tracked through the sequence, and their 3D locations accurately determined use Kalman filters. egomotion camera also determined.

Various research works demonstrate that the distribution of training data has a significant impact on performance Convolutional Neural Networks (CNNs). The CNN classifiers using balanced datasets achieve very accurate when compared to shallow classifiers. However, considering CNNs originally are not designed handle imbalanced datasets, such cases have severely negative their overall performance. In this we focus examining effect sets outcomes various CNN-based classifier models. work also...

Blockchain technology has given rise to various blockchains, each with unique characteristics and applications. However, these isolated heterogeneous blockchains pose challenges for value transfer data communication, creating disconnected islands. To address this issue, cross-chain provides blockchain interconnection, improving interoperability scalability. This paper explores technologies, discussing their background, significance, research status. It also introduces, analyzes, compares...

Several recent studies have examined the merits of crowd sourcing to aid in completing repetitive or complex tasks requiring human computation. In comparison, scant attention has been placed on use for purpose meeting unethical objectives, which may not be known participants. this paper, we explore potential used bypass commonly-established ethical standards personal professional gain.

As a foundational technology, blockchains have demonstrated their ability to remove middlemen and streamline ledger-based transactions in everything from cryptocurrencies (e.g. Bitcoin) centralized voting. In many underdeveloped countries, blockchain-based technologies provide opportunities for transparent between parties, reducing corruption facilitating trust. Much research on date has focused its virtues, but far less attention been paid inherent risks dangers. this paper, we examine the...

Patent classification systems are used to help scrutinize patent applications for possible violations of the novelty and non-obviousness/inventive steps a patentability test. There several different in use today, each with underlying philosophy approach. We compare two most widely-used -- IPC USPC examine their ability re-rank patents based on similarity. observed significant improvement MAP, Recall@100, nDCG when using these our retrieved document set, demonstrating overall utility searches.

Contemporary knowledge work is typically characterized by sedentary habits, which in turn have an impact on workers' well-being and creativity. Persuasive technologies can be designed as a means for reducing the amount of sitting at work. Here, we discuss results from our research to gain design insights persuasive that encourage physically active ways We introduce "Brainwolk", walking meeting concept mediated with mobile app. As part broader process, present user experience (UX) findings...

Finding the best candidates to match a set of job requirements can be viewed as both an art and science. In this paper, we conduct empirical study using actual applicants. We compare ranked lists generated by executive recruiting experts with list three search strategies: one crowdworkers in gamified environment, second information retrieval-based methods, third method which combines retrieval methods weighted feature-based approach. examine these strategies across two separate categories -...

Sporting events broadcast on television or through the internet are often supplemented with statistics and background information each player. This is typically only available for sporting followed by a large number of spectators. Here we describe an Android-based augmented reality (AR) tool built Tesseract API that can store provide about participant in nearly any event. AR provides more engaging spectator experience viewing professional amateur alike. We also preliminary field tests have...

Cognitive biases, such as the bandwagon effect, occur when a participant places disproportionate emphasis on external information making decisions under uncertainty. These effects are challenging for humans to overcome - even they explicitly made aware of their own biases. One challenge researchers is detect if used in decision and what degree. can gain better understanding how this using an eye tracker. In paper, we evaluate cognitive biases context assessing binary relevance set documents...

Companies such as Zappos.com and Amazon.com provide financial incentives for newer employees to quit. The premise is that workers who will accept this offer are misaligned with their company culture, which therefore negatively affect quality over time. Could pay-to-quit incentive scheme align in online labor markets? We conduct five empirical experiments evaluating different crowdworkers evaluate effects on mean task accuracy, retention rate, improvement accuracy. find the number of times a...

As populations age, an increasing number of workers beyond the traditional retirement age are opting to continue working. Nevertheless, discrimination against older job seekers seeking new employment opportunities remains widespread. To address this issue, we enlisted a pool crowdworkers assess resumes IT candidates and guess each candidate's race, gender. Using crowdsourced data, trained AI model applied bias correction techniques from IBM's 360 Microsoft's Fairlearn toolkits correct for...

Event tracking is the task of discovering temporal patterns popular events from text streams. Existing approaches for event have two limitations: scalability and inability to rule out non-relevant portions in In this study, we propose a novel approach tackle these limitations. To demonstrate approach, track news across collection weblogs spanning two-month time period.