Miracle-dz/UniFAR-FTUs huggingface dataset:
Aggio: A Coupon Safe for Privacy-Preserving Smart Retail Environments

Researchers and industry experts are looking at how to improve a shopper's experience and a store's revenue by leveraging and integrating technologies at the edges of the network, such as Internet-of-Things (IoT) devices, cloud-based systems, and mobile applications. The integration of IoT technology can now be used to improve purchasing incentives through the use of electronic coupons. Research has shown that targeted electronic coupons are the most effective and coupons presented to the shopper when they are near the products capture the most shoppers' dollars. Although it is easy to imagine coupons being broadcast to a shopper's mobile device over a low-power wireless channel, such a solution must be able to advertise many products, target many individual shoppers, and at the same time, provide shoppers with their desired level of privacy. To support this type of IoT-enabled shopping experience, we have designed Aggio, an electronic coupon distribution system that enables the distribution of localized, targeted coupons while supporting user privacy and security. Aggio uses cryptographic mechanisms to not only provide security but also to manage shopper groups e.g., bronze, silver, and gold reward programs) and minimize resource usage, including bandwidth and energy. The novel use of cryptographic management of coupons and groups allows Aggio to reduce bandwidth use, as well as reduce the computing and energy resources needed to process incoming coupons. Through the use of local coupon storage on the shopper's mobile device, the shopper does not need to query the cloud and so does not need to expose all of the details of their shopping decisions. Finally, the use of privacy preserving communication between the shopper's mobile device and the CouponHubs that are distributed throughout the retail environment allows the shopper to expose their location to the store without divulging their location to all other shoppers present in the store.
Heterogeneous Traffic Flow Dynamics under Various Penetration Rates of Connected and Autonomous Vehicle

This study aims to analyze the impact of connected and autonomous vehicles (CAVs) on traffic flow under various penetration rates. Based on a recently proposed heterogeneous flow model, the mixed traffic flow with both conventional vehicles and CAVs was simulated and studied. Acceleration rate and velocity distributions of the mixed traffic flow were presented to show the evolution of mixed traffic flow dynamics with the increase in CAV penetration rate within the mixed flow. Spatiotemporal diagrams of mixed traffic flow were presented to show the effect of CAVs on damping the stop-and-go traffic flow. Results show that with the increase in CAV penetration rate, the portion of smooth driving is increased. Velocity difference between vehicles is decreased and traffic flow is greatly smoothed. Stop-and-go traffic will be greatly eased when CAV penetration rate reaches a rate of 40%∼50%. More cautious following strategy of the CAV would contribute to a greater benefit on traffic safety. This work provides some insights into the impact of the CAV on traffic flow and sheds light on how would the mixed traffic flow dynamics evolve with the gradual adoption of CAV under current traffic system.
Adapting Raspberry Pi to Miniaturized Safety Systems for Industry 4.0 Control Applications

The 4th industrial revolution enables through the networking of automated systems a realization of modular, flexible, economic and networking production processes. Machines and production plants are networked over various communication channels and they organize themselves in an intelligent way. Products are created in an automated way at the request of the customers and tailored to the customers specific needs. Highly networked system structures will evolve including the interference of humans as well as of machines. Apart from IT security functional safety plays an increasingly important role in the networking of humans and machines. In the future, safety functions shall not only control and monitor production processes but they shall be in a position to be maintained and configured in a flexible way by the user. In this paper, a possible implementation is introduced, which is able to connect the functional safety with a compact, cost-effective system that is widely used in industry.
Using NIRS to Detect Brain oxyHb Changes During Short-Term Memory Tasks

We performed subjective physiological assessment of brain activity using the visually performed n-back task and the n-back task performed by the auditory sense. The visually performed n-back task was done with two tasks that were performed while memorizing presented numbers and the result of computational problems. We characterized and compared the oxygenated hemoglobin concentration change in the brain during the working memory task using near-infrared spectroscopy measurement. Changes in activation of brain activity were observed due to differences in tasks. The difference in the presentation method resulted in a difference in activation of brain activity. Furthermore, the computational n-back task with execution function in working memory induced more brain activity than the usual n-back task. Thus, the computed n-back task is a suitable task to train workers.
Analyzing Headlight Flicker Patterns for Improving the Pedestrian Detectability from a Driver

In this paper, we analyze headlight flicker patterns which improve the pedestrian detectability from a driver. Recently, headlights are becoming capable of selectively projecting light on a pedestrian in addition to the normal forward projection. However, it is still not clear how the light should be projected to effectively improve the visibility of the pedestrian. We actually analyze nine flicker patterns by controlling duty ratios and durations of lighting time, and conduct experiments in field and laboratory settings. As a result, we reveal that a specific fundamental frequency is effective for improving the pedestrian detectability from a driver. We also conclude that the difference between the two settings are not significant.
Randomized Single-Path Flow Routing on SDN-Aware Wi-Fi Mesh Networks

Wi-Fi Mesh Networks (WMNs) as a popular platform can be used for the construction of dynamic backhaul networks especially over small cells, which is an indispensable part of the 5G technology. Finding the optimal single-path flow routing solution over the multi-hop backhaul networks is a classic NP-hard problem and there are non-trivial drawbacks such as packet re-ordering to implement multi-path routing as a practical solution. However, Software Defined Networking (SDN) as an emerging paradigm can provide a great opportunity to implement fast and efficient solutions for routing the network flows over WMNs. In this paper, we propose a randomized single-path flow routing that can be applied to SDN-aware WMNs. The randomized nature of our introduced solution avoids the complexities of implementing a multi-path flow routing and it presents a viable routing scheme that guarantees certain performance bounds. In addition, it considers the key characteristics of wireless networks and it can be employed for multi-channel multi-radio WMNs. Through numerical results, we have shown that our solution follows the theoretical, tighter and more general performance bounds. Moreover, in contrast to most of the prior studies, the performance of the proposed solution is not only evaluated through a real testbed (in terms of the aggregated throughput and protocol overhead) but also compared with some of the most popular WMN routing protocols.
A New Panoramic Visual Tracking Method

Panoramic vision has developed greatly in the field of computer vision during these years. The tracking of moving objects is one of the most classic subjects, which has a wide application prospect. Due to the influence of panorama image distortion, it brings a serious error to the target feature extraction, and it is hard to track the target precisely. The existing method of panoramic vision tracking still has some limitations. Therefore, based on the particle filter tracking, this paper proposes a panoramic visual tracking algorithm based on adaptive extraction of the fused features of color and shape features, and included the particle weights into the tracking process. The target tracking accuracy is significantly improved. Experimental results show that the proposed algorithm can solve the problem of change in object's appearance, which caused by the translation, rotation, external illumination and occlusion of the target object, effectively improve the robustness of panoramic visual tracking.
Parallel Changes in Mood and Melatonin Rhythm Following an Adjunctive Multimodal Chronobiological Intervention With Agomelatine in People With Depression: A Proof of Concept Open Label Study

Background: Agomelatine is a melatonin agonist and 5HT antagonist developed for the treatment of major depressive disorder which also has some effects on the circadian system. Since circadian dysfunctions are thought to play a role in the pathophysiology of depression, some of the mechanism of action of this drug may relate to improvements in circadian rhythms. Objective: This proof of concept open-label study sought to determine if improvements in depressive symptoms following an adjunctive multimodal intervention including agomelatine intake are associated with the magnitude of circadian realignment. This was investigated in young people with depression, a subgroup known to have high rates of delayed circadian rhythms. Methods: Young people with depression received a psychoeducation session about sleep and circadian rhythms, were asked to progressively phase advance their wake up time, and completed an 8 weeks course of agomelatine (25–50 mg). Participants underwent semi-structured psychological assessments, ambulatory sleep-wake monitoring and measurement of melatonin circadian phase before and after the intervention. Results: Twenty-four young adults with depression (17–28 years old; 58% females) completed the study. After the intervention, depressive symptoms were significantly reduced [t(23) = 6.9, p < 0.001] and, on average, the timing of dim light melatonin onset (DLMO) shifted 3.6 h earlier [t(18) = 4.4, p < 0.001]. On average, sleep onset was phase shifted 28 min earlier [t(19) = 2.1, p = 0.047] and total sleep time increased by 24 min [t(19) = –2.6, p = 0.018]. There was no significant change in wake-up times. A strong correlation (r = 0.69, p = 0.001) was found between the relative improvements in depression severity and the degree of phase shift in DLMO. Conclusion: Although this needs to be replicated in larger randomized controlled trials, these findings suggest that the degree of antidepressant response to a multimodal intervention including psychoeducation and agomelatine intake may be associated with the degree of change in evening melatonin release in young people with depression. This offers promising avenues for targeted treatment based on the prior identification of objective individual characteristics.
Weakness Identification and Flow Analysis Based on Tor Network

As the Internet technology develops rapidly, attacks against Tor networks becomes more and more frequent. So, it's more and more difficult for Tor network to meet people's demand to protect their private information. A method to improve the anonymity of Tor seems urgent. In this paper, we mainly talk about the principle of Tor, which is the largest anonymous communication system in the world, analyze the reason for its limited efficiency, and discuss the vulnerability of link fingerprint and node selection. After that, a node recognition model based on SVM is established, which verifies that the traffic characteristics expose the node attributes, thus revealing the link and destroying the anonymity. Based on what is done above, some measures are put forward to improve Tor protocol to make it more anonymous.
A Spectrum Aware Routing Protocol in Cognitive Radio Ad Hoc Networks

In this paper, we present a new spectrum aware routing protocol that is based on the number of available channels obtained by prediction algorithm and number of hops to reduce the end-to-end delay in cognitive radio ad hoc networks. Simulation results are given to demonstrate the shorten end-to-end delay in the aspects of mobility speed and varying number of channels.
The Study on Quranic Surahs' Topic Sameness Using NLP Techniques

Study of the structured-ness of Quranic surahs has attracted the attention of some researchers in recent years. One of the theories herein is the theory of Topic Sameness which acknowledges that the inner elements of surahs have tight relationship with each other and that each surah of Quran has formed on a single core topic. In this paper, we intend to study the topic sameness in Quranic surahs using natural language processing methods. In this regard, based on the two methods of word2vec and Roots' accompaniment in Verses, the similarity of Quranic roots is calculated. Then, the amount of similarity between surahs' title and the concepts within the surahs is studied. Afterwards, the amount of similarity of the concepts within chapters to each other is calculated and compared with the random mode. The results show that the choice of the surah's title is based on rational logic, and that could not have been done by the ordinary public of the early Islamic era. In addition, the surahs hold the inner coherence between the concepts so that they have formed on a single topic or a few topics tightly related to each other.
A general method to stabilize unstable periodic orbits for switched dynamical systems with a periodically moving threshold

In the previous study, a method to control chaos for switched dynamical systems with constant threshold value has been proposed. In this paper, we extend this method to the systems including a periodically moving threshold. The main control scheme is based on the pole placement; then, a small control perturbation added to the moving threshold value can stabilize an unstable periodic orbit embedded within a chaotic attractor. For an arbitrary periodic function of the threshold movement, we mathematically derive the variational equations, the state feedback parameters, and a control gain by composing a suitable Poincaré map. As examples, we illustrate control implementations for systems with thresholds whose movement waveforms are sinusoidal and sawtooth‐shape, and unstable one and two periodic orbits in each circuit are stabilized in numerical and circuit experiments. In these experiments, we confirm enough convergence of the control input.
A 15b, Sub-10PS Resolution, Gateable Pseudo-Delay Ring Oscillator Time-to-Digital Converter for Wide Range RF Applications

In this paper, a sub-10 ps resolution, high precision and low power consumption Time-to-Digital Converter (TDC) is presented. The proposed TDC is based on the gateable pseudo-delay ring oscillator (GRO) architecture able to reach high linearity and wide input range. The time conversion resolution is equal to half of one inverter's propagation delay, which is improved by the thermometer decoder. The fractional output-code is obtained through a normalization unit, able to quantify phase errors and free calibrate measurements for counter-assisted ADPLL applications. To demonstrate the proposed concept, a 15-bit TDC has been implemented in a standard 90-nm CMOS process with an active core size of 80 μm ⨯ 345 μm. Using a 1.0 V supply, the topology achieves a resolution of 9.4 ps, and an average power consumption of 6.6 mW. A root-mean-square integral nonlinearity (INL) and differential nonlinearity (DNL) of respectively ±0.6 LSB and ±0.48 LSB is obtained with a relatively simplified calibration.
Experiment of Voltage Response During Mode Switching in a Unitized Regenerative Fuel Cell with Parallel Flow Field

A Unitized regenerative fuel cell complete energies transition between chemical and electricity in a unitized cell, and this characteristic makes mode switching operations inevitable in real applications. In this work, cell voltage dynamic response during mode switching in a URFC with parallel flow field is tested. Single flow direction in parallel flow field is not suitable for unitized regenerative fuel cells when operation modes are switched. Different flow directions for different modes makes switching operations more stable. In addition, comparing with the flux of purge gas, the time of purge increase is more efficient to push out the liquid water after electrolysis cell mode stopping for the startup fuel cell operation.
A Formal Approach for the Design of a Dependable Perception System for Autonomous Vehicles

The deployment of autonomous vehicles is contingent on trust in their ability to operate safely. However, the assurance that they can accommodate failures and changing weather conditions to maintain limited functionality requires the development of rigorous design and analysis tools. This paper presents a formal approach for the design of multisensor data fusion systems that support adaptive graceful degradation through the smart use of sensor modalities. A coloured probabilistic time Petri net is used to model known algorithms in a multi-sensor fusion scheme. The specification of safety requirements in terms of confidence levels conditions the outcome of the reachability analysis. The characteristics of a credible solution are then provided to the embedded safety module as support for online reconfiguration and decision making tasks. The validity of the approach is illustrated through an example outlining the capabilities of currently available perception systems, for the purpose of deploying autonomous vehicles on public roads.
Comparison of Turkish Proposition Banks by Frame Matching

By indicating semantic relations between a predicate and its associated participants in a sentence and identifying the role-bearing constituents, SRL provides an extensive dataset to understand natural languages and to enhance several NLP applications such as information retrieval, machine translation, information extraction, and question answering. The availability of large resources and the development of statistical machine learning methods have increased the studies in the field of SRL. One of the widely-used semantic resources applied for multiple languages is PropBank. In this paper, PropBanks applied for Turkish are compared by checking semantic roles in the frame files of matched verb senses. As this integrated lexical resource for Turkish is aimed to be used in a multilingual resource along with English, creation of an inclusive lexical resource for Turkish is of great importance.
Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems

Indoor localization gains increasingly attentions in the era of Internet of Things. Among various technologies, WiFi-based systems that leverage Received Signal Strengths (RSSs) as location fingerprints become the mainstream solutions. However, RSS fingerprints suffer from critical drawbacks of spatial ambiguity and temporal instability that root in multipath effects and environmental dynamics, which degrade the performance of these systems and therefore impede their wide deployment in real world. Pioneering works overcome these limitations at the costs of ubiquity as they mostly resort to additional information or extra user constraints. In this paper, we present the design and implementation of MatLoc, an indoor localization system purely based on WiFi fingerprints, which jointly mitigates spatial ambiguity and temporal instability and derives reliable performance without impairing the ubiquity. The key idea is to embrace the spatial awareness of RSS values in a novel form of RSS Spatial Gradient (RSG) matrix for enhanced WiFi fingerprints. We devise techniques for the representation, construction, and comparison of the proposed fingerprint form, and integrate them all in a practical system, which follows the classical fingerprinting framework and requires no more inputs than any previous RSS fingerprint based systems. Extensive experiments in different environments demonstrate that MatLoc significantly improves the accuracy in both localization and tracking scenarios by about 30% to 50% compared with five state-of-the-art approaches.
SecretSign: A Method of Finding an Off-Line Target Object without Revealing the Target to Observers

In this paper we propose an interactive system that allows only the owner of a target object to secretly find it among other similar or identical objects, which we call SecretSign. Finding a personal object, e.g., an assigned vehicle in a car-sharing parking lot, where there are many cars that look the same or are similar, can be difficult. In addition, we may not want to notify other people which object we are looking for, e.g., a car thief waiting to steal a car when the driver opens the door. Our proposed system allows a user to find an object without notifying others of the target, using a light attached to the target object which turns on and off in conjunction with user's operation of a remote control device, while lights on the other objects turn on and off randomly. We experimentally evaluated the system, in both virtual and real-world environments, and verified that SecretSign enabled users to quickly find their target objects without revealing the target to observers.
Improved Performance of Near UV GaN-Based Light Emitting Diodes With Asymmetric Triangular Multiple Quantum Wells

Near-ultraviolet (NUV) light-emitting diodes (LEDs) have been used in several potential applications such as UV curing and biochemical sensors. However, the internal quantum efficiency (IQE) of NUV-LEDs is still a crucial issue. To improve the IQE, in this paper, an asymmetric triangular multiple quantum well (MQW) structure was used, which exhibited a higher emission efficiency and lower efficiency droop with nitrogen face-oriented inclination. This is in contrast to the trend observed in blue LEDs. Furthermore, we demonstrated that holes are more confined in MQWs with nitrogen face-oriented inclination than in MQWs with gallium face-oriented inclination. Moreover, simulations revealed that the IQE improved by approximately 32% compared with that of symmetric square MQW NUV-LEDs; this trend was also confirmed through experimental results. The external quantum efficiency of thin-film flip-chip LEDs with nitrogen face-oriented inclination MQWs was 52%.
Statistical Modelling for Estimation of OD Matrices for Public Transport Using Wi-Fi and APC Data

In this paper, statistical models are proposed to estimate trip level origin-destination (OD) matrices for public transport based on Wi-Fi data traffic. Wi-Fi monitoring equipment installed in 32 buses in Stavanger, Norway, collected Wi-Fi data during several months. The median received signal level of frames transmitted by a device and the time interval between the first and last frame are modelled as statistical distributions, conditional on whether the Wi-Fi device is on the bus or not. Based on these models and using passenger load data from Automatic Passenger Counting (APC) systems installed in the buses, the probability for each detected device being on or off the bus is estimated. When tested on large data sets, the proposed statistical method is more accurate than when hard thresholds for median received signal level and time interval of observation are applied.