5153 research outputs found
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Context-Free Decoding of High-Density 2D Bit Fields with Alias Disambiguation
No full textPROBLEM: Conventional decoding techniques tend to operate exclusively in the space domain and often rely on code-specific “finder features,” ECC, high-resolution imaging, image resampling (a “lossy” process), encoded data “clues” and low code density relative to image resolution (see EASY examples below). This limits the amount of information that can be reliably encoded into a given area. RESEARCH OBJECTIVES: Recover randomly-oriented 2D bit fields without resampling, without reliance on finder features, and without dependency on encoding or data content. Decode at image densities that produce aliasing of primary grid frequencies – alias disambiguation (see HARD example below). Provide linear code density improvement of 1.5:1 to 2:1 over conventional techniques, resulting in an increase in data density per unit area of 2.25:1 to 4:1
The Effect Of Word-Of-Mouth Communications On Consumer Fairness Perceptions
No full textPurpose This research investigates the influence of reading another consumer’s negative and emotion-laden review of a similar purchase experience on consumer fairness perceptions. Methodology A total of 361 participants participated in two between-subjects experiments and two pilot studies involving a common scenario of a shopping experience at a retailer with price fluctuations. The focus was on the effects of observing emotional reviews about a common experience of an unfair treatment on fairness perceptions regarding the retailer. Findings Consumer perceptions of fairness regarding the retailer in the scenario worsened after observing another consumer’s negative and emotional review about a common experience (Study 1). This effect remained when the reviewer was assumed to be similar to the observing consumer, but disappeared when there was evidence to perceive the reviewer to be dissimilar (Study 2). Research limitations/implications This research contributes to the literature documenting the powerful influence of social interactions by suggesting perceived similarity as a potential moderator. Future research directions in word of mouth, emotional contagion, and consumer fairness perceptions are discussed. Practical implications Companies may benefit by participating in interactive communications among their customers in a typical online environment when the word-of-mouth communication source is unknown to the reader. Marketers can provide detailed contextual information about individual consumption experiences, in order to influence the perceptions of similarity between the commenters and observers. Originality/value This research suggests a practical means to mollify the negative influence of observing another customer’s reviews of a similar experience on consumer fairness perceptions
Jardim Bravia: a visual analogue to beta-amyloid entanglement expressed in a typeface using pseudo-random OpenType glyph selection and replacement
No full textProfessor Gary Munch's poster on Jardim Bravia using OpenType to create a beta-amyloid entanglement analogue
Real Time Sleep Detection System Using New Statistical Features of the Single EEG Channel
No full textSleep specialists often conduct manual sleep stage scoring by visually inspecting the patient’s neurophysiological signals collected at sleep labs. This is, generally, a very difficult, tedious and time-consuming task. The limitations of manual sleep stage scoring have escalated the demand for developing Automatic Sleep Stage Classification (ASSC) systems. Sleep stage classification refers to identifying the various stages of sleep and is a critical step in an effort to assist physicians in the diagnosis and treatment of related sleep disorders. Many of the prior and current related studies use multiple EEG channels, and are based on 30s or 20s epoch lengths which affect the feasibility and speed of ASSC for real-time applications. Thus, the aim of this work is to present a novel and efficient real time technique that can be implemented in an embedded hardware device to identify sleep stages using new statistical features applied to 10 s epochs of single-channel EEG signals. First, we run our algorithm off line using the PhysioNet Sleep European Data Format (EDF) Database to classify six sleep stages. The proposed methodology achieves an average classification sensitivity, specificity and accuracy of 89.06%, 98.61% and 93.13%, respectively, when the decision tree classifier is applied. Second, our new method is compared with those in recently published studies, which reiterates the high classification accuracy performance. Finally, we propose an effective EEG classification technique for detecting sleep to only prove that our algorithm is simple and works fast in real time in an efficient way using Neurosky Mindwave headset that gathers the user’s brain waves
Building CSR and Ethical Values into Organizational Culture
No full textJide Afon and Carrie Picardi's poster on corporate social responsibility and ethical values within corporate and organizational cultures
Jamaican Folk Music in the Classroom
No full textThis thesis compromises a brief overview of Jamaican folk music and a unit of
study for fourth or fifth grade general music that gives students the opportunity to explore the unique musical and cultural traditions of Jamaica. Students will be exposed to different traditional rhythms and folk songs whilst improving their basic musicianship skills. Students will have a chance to explore this culture, which may seem foreign or unfamiliar to them
An Optimized Hidden Node Handling Approach For Improving The Coverage And Network Efficiency In Wireless Multimedia Sensor Networks
No full textWireless Multimedia Sensor Networks (WMSNs) are comprised of sensor nodes that form the momentary network and do not rely on the support of any orthodox centralized infrastructure or administration. Such a given situation mandates that every sensor node gets the support of the other sensor nodes in order to advance the packets to the desired destination node, and specifically to the sink node. Successful transmission of online multimedia streams in wireless multimedia sensor networks (WMSNs) is a challenge due to their limited bandwidth and power resources. The existing WMSN protocols are not completely appropriate for multimedia communication. The effectiveness of WMSNs vary as it depends on the correct location of the sensor nodes in the field. Thus, maximizing the multimedia coverage is the most important issue in the delivery of multimedia contents. The nodes in WMSNs are either static or mobile. Thus, the node connections change continuously due to the mobility in wireless multimedia communication that causes an additional energy consumption and synchronization loss between neighboring nodes. The focus is on hidden node problems in WMSNs and how they can affect the network performance. Hidden nodes occur in the networks when nodes that are invisible to each other communicate with another node that is visible to these nodes at a particular period. Eventually, a collision may occur and the node will be unable to receive any packets. In addition, this study looks at the effectiveness of the optimal orientation for the sensor nodes in the environment. This work introduces an Optimized Hidden Node Handling (OHND) approach. The OHND consists of three phases: hidden node handling, message exchange, and location and view handling. These three phases aim to maximize the multimedia node coverage and improve energy efficiency, hidden node handling capacity, and packet delivery ratio. OHND helps multimedia sensor nodes to compute the directional coverage. Furthermore, an OHND is used to maintain a continuous node– continuous neighbor discovery process to handle the mobility of the nodes. To evaluate the performance of the proposed algorithms, the results are compared with other known approaches. The results demonstrate that nodes are capable of maintaining direct coverage and detecting hidden nodes in order to maximize coverage, achieve power efficiency, reduce the end-to-end delay, and improve the throughput. Finally, this study provides an efficient solution for handling the hidden node problem in case mobility
Does Data Support Trump’s Claim that Unauthorized Immigrants Cause Rising Crime Rates?
No full textSanctuary cities are the name of the jurisdictions where the unauthorized immigrants of the USA will be protected against federal immigration enforcement actions. This research from the Data-centric point of view examined and compare the estimated crime at the state level in 2014, in order to find out whether, if unauthorized immigrants introduce themselves to local jurisdictions, the state will be safer or not. The goal of this research was to see the big picture on enforcement of decline detainers by the Sanctuary States
High Altitude Student Platform
No full textOur project focuses on the testing of critical components of the next phase of a high altitude robotic puppet that will be used on Near Space balloon missions to engage younger students (K-6). The prototype robotic puppet has been under the development at the University of Bridgeport (UB) supported by a Connecticut Space Grant College Consortium (CSGCC)
Study on Transient Thermal Analysis of a Disc Brake During Braking and Releasing Periods
No full textAutomobile braking system is considered as one of the most important safety systems in modern vehicles as its main intention is to stop or decelerate the vehicle. The frictional heat generated between the pads and disc during the braking application can cause various negative impacts, such as brake fade, thermal cracks, disc thickness variation and wear. This project studied the transient thermal behavior of a disc brake system during the braking phase and the followed releasing period. A three-dimensional finite element model with a moving heat source was developed with COMSOL Multiphysics to predict the temperature distribution in the disc braking system, including two pads, a rotor disc, bolts, and a section of the shaft. The maximum surface temperature on the contact surface has been found to increase in the braking period and then decrease as the rotor slows down and further decrease during the releasing period. The maximum temperature on the contact surface depends on both the car velocity and deceleration rate. The effects of convective and radiative heat transfer are also studied. It is found that heat is mainly dissipated through convective heat transfer at the disc surfaces