Miracle-dz/UniFAR-FTUs huggingface dataset:
Person Movement and Stay Classification Based on Base Station Network Data

The base station network data contains the real-time location information of the user, and accurately extracting the user's travel trajectory information from the Base station network data is of great significance for traffic regulation. In order to overcome the uncertainty of stop point identification in existing research, this paper proposes a person movement/stay classification method based on the improved Fast Newman algorithm. The method utilizes the base station handover relationship and the base station dwell time in the user trajectory data, abstracts the user's trajectory into a weighted undirected graph with a self-loop, and classifies the user state using the community partitioning result of the improved Fast Newman algorithm and speed. By comparing with the GPS data collected by the APP, the correct rate of this experiment is 92.33%.
Engineering Privacy in Smartphone Apps: A Technical Guideline Catalog for App Developers

With the rapid growth of technology in recent years, we are surrounded by or even dependent on the use of technological devices such as smartphones as they are now an indispensable part of our life. Smartphone applications (apps) provide a wide range of utilities such as navigation, entertainment, fitness, etc. To provide such context-sensitive services to users, apps need to access users’ data including sensitive ones, which in turn, can potentially lead to privacy invasions. To protect users against potential privacy invasions in such a vulnerable ecosystem, legislation such as the European Union General Data Protection Regulation (EU GDPR) demands best privacy practices. Therefore, app developers are required to make their apps compatible with legal privacy principles enforced by law. However, this is not an easy task for app developers to comprehend purely legal principles to understand what needs to be implemented. Similarly, bridging the gap between legal principles and technical implementations to understand how legal principles need to be implemented is another barrier to develop privacy-friendly apps. To this end, this paper proposes a privacy and security design guide catalog for app developers to assist them in understanding and adopting the most relevant privacy and security principles in the context of smartphone apps. The presented catalog is aimed at mapping the identified legal principles to practical privacy and security solutions that can be implemented by developers to ensure enhanced privacy aligned with existing legislation. Through conducting a case study, it is confirmed that there is a significant gap between what developers are doing in reality and what they promise to do. This paper provides researchers and developers of privacy-related technicalities an overview of the characteristics of existing privacy requirements needed to be implemented in smartphone ecosystems, on which they can base their work.
Polypharmacy in the elderly

Polypharmacy is the use of several concurrent medications by one individual. It is an increasingly common phenomenon in an ageing population with multiple morbidities, and can often be a challenge for the GP. When used appropriately, medication can prolong life and aid symptom control. When medications are used unnecessarily, polypharmacy can have adverse effects, particularly on elderly patients. This article aims to help the GP manage patients on multiple medications, be aware of potential problems this may cause, and give guidance on medication reviews.
Minimum Per-Element Power of Phased Array for Gbps Mobile Access in mmWaves

Delivering Gbps rate to users at 100-meter range is challenging and using large phased arrays and wide bandwidth in the mmWave range are considered to be a high potential solution for 5G and beyond. We evaluate the minimum per-element power requirement of phased arrays to support 1 Gbps rate at mmWave bands by quantifying the impact of channel estimation penalty, path loss, array size, effective beamforming gain saturation due to angular spread, and channel coherence. With 1 GHz bandwidth, a minimum 18 dBm per-element power is required to deliver 1 Gbps downlink rate from an urban Macro base station to outdoor users 100 m away in non-line-of-sight (NLOS) using a transmit array of 4x4, 7x7, or 10x10 elements at 28, 90 or 144 GHz band, respectively, assuming 5 dBi element gain. Using more bandwidth would lower the per- element power requirement by less than 2 dB in most cases. Using larger antenna arrays could be beneficial in lowering the per-element power requirement, as long as the associated beam searching and channel estimation overhead does not surpass the benefit of improved spectral efficiency. For antenna systems having a strict equivalent isotropic radiated power (EIRP) limit, such as indoor access points or modems, the benefit of using larger arrays at both ends at higher bands is curbed by the effective gain reduction caused by angular spread, increased beam acquisition overhead, worse-than-free-space path loss and body blockage. Therefore, it is challenging for indoor access points to provide high-speed transmission at high bands to NLOS wearable devices such as augmented reality goggles.
A Reversible Data Hiding Scheme for Printing with Special Color Inks Using Digital Halftoning

We propose a reversible data hiding scheme for printing with special color inks. The special color layer is first converted to the binary image by the digital halftoning process and losslessly compressed with JBIG2. After the preprocessing, the special color layer is embedded into the general color layer. Consequently, both normal color printing and printing with special color inks can be implemented by the single embedded image. Our experimental results show that the information amount of the special color layer is highly decreased by the digital halftoning process and the image compression process using JBIG2, and the embedded image quality is not visually degraded.
Ocena wpływu zmiennego pola magnetycznego na wybrane parametry pracy serca - doniesienie wstępne

Wstep: W pracy przedstawiono wyniki dzialania magnetoterapii na czynnośc serca pacjentow, u ktorych prowadzono w warunkach klinicznych lecznicze zabiegi rehabilitacyjne po przebytych wcześniej urazach kregoslupa ledźwiowego oraz stawow biodrowych. Material i metody: Stosowano przewidziane w takich przypadkach sinusoidalnie zmienne pola magnetyczne o nastepujących parametrach: indukcja 0,3 mT, czestotliwośc 30 Hz (w rehabilitacji kregoslupa ledźwiowego) oraz odpowiednio: 0,5 mT i 50 Hz (w rehabilitacji stawow biodrowych). Ocene przeprowadzono na podstawie analizy nieliniowych parametrow krzywych obrazujących akcje serca: eksponent skalowania, ktore wyznaczono metodą DFA ( detrended fluctuation analysis ), diagramow Poincarego i entropii. Parametry te wyznaczono z pomiarow sygnalow fonokardiograficznych i elektrokardiograficznych, przeprowadzonych w trakcie dzialania pola magnetycznego oraz w 5-minutowych okresach bezpośrednio przed jego zastosowaniem i po nim. Wyniki i wnioski: W analizie otrzymanych wynikow nie stwierdzono istotnych roznic pomiedzy rezultatami pomiarow na podstawie fonokardiogramu, jakie mialy miejsce w trakcie dzialania pola magnetycznego oraz przed jego zastosowaniem i po tym okresie. Podobne wnioski dotyczą rowniez analizy EKG zarejestrowanego przed magnetoterapią i po jej zastosowaniu. (Folia Cardiol. 2003; 10: 695–700)
Gate-Induced Drain Leakage in Negative Capacitance FinFETs

In this article, we analyze the issue of gate-induced-drain-leakage (GIDL) in metal-ferroelectric-insulator-semiconductor (MFIS)-type negative capacitance fin field-effect transistor (NC-FinFET) using 3-D technology computer-aided design (TCAD) simulations. We present a comprehensive analysis of GIDL characteristics on 7-nm technology node with respect to the variation of ferroelectric and silicon body thicknesses, source/drain junction placement, and source/drain doping concentration of NC-FinFET. We find that in NCFET, steeper energy band profiles near the source and drain side caused by fringing field coupling to the ferroelectric result in a prior and larger onset of the longitudinal band to band tunneling (L-BTBT) current compared to the baseline FinFET. Also, we find that, unlike the conventional FinFET, NC-FinFET shows the nonmonotonic trend in the occurrence of the L-BTBT component as we scale down the channel length of the device due to the reverse short channel effect.
Small Signal Stability Analysis as Impact of System Reconfiguration

Faulty condition caused by oscillation in a Java-Bali sub-system is investigated in this paper. The faulty condition is simulated by using power system simulation program to represent the real condition. The characteristic result of oscillation is analyzed by using the Prony method. The analysis of oscillation mode is done by decomposing the oscillation waveform into dominant frequency and damping ratio. System reconfigurations are developed by changing the generator supply direction and the setting of Power System Stabilizer (PSS). Each reconfiguration is simulated, and then the result is analyzed and compared to its default condition. Simulation result shows that by reconfiguring the direction of generation units to Middle-Java region and activating PSS of the generation unit can improve system stability.
The Time Element of Temporal Networks

We may inadvertently forget the time dimension or one common element in studying time-labeled data of various complex systems. Using temporal network modeling in an attempt to fill the gap in the complex network analysis, we explore people interactions via analyzing mobile phone data in the quest of finding the average ratio of people that an individual can connect or influence, i.e., the diffusion of ideas within any given time window. As an example, one can say that during an epidemic disease outbreak in a small community, according to contact patterns driven from mobile phone data, the disease would only spread to one-third of individuals. Later, we apply randomized null models to demonstrate that boundaries of the reachability ratio in the temporal network of user behaviors are not accidental, and a small random change in the time of interaction between individuals - such as alternating the frequency of contacts or redistributing them - destroys the daily repeating patterns observed in their behaviors. Furthermore, these randomizations significantly affect some of the network metrics like average reachability ratio.
A Novel Biometric Based Remote User Authentication Scheme Using Smart Card with Session Key Agreement

Remote user authentication process using smart card provides a simplest and efficient technique for communicating in a secure manner over an insecure network. A novel remote user authentication scheme using smart card is proposed in this current paper. This one is a single server authentication mechanism where user bio-metric is used. Here user and server mutually authenticate each other by message passing. A session key is generated at user side after mutual authentication. Security analysis performed over the scheme shows its resistance against most of the attacks.
Tolerating Aging-Induced Timing Violations Via Configurable Approximations

This paper proposes a technique that increases the lifetime of consumer electronics devices. As semiconductor technology improves in miniaturizing transistors, aging effect due to Bias Temperature Instability (BTI) has serious impact on their lifetime. BTI increases the threshold voltage of transistors and thus the delay of an electronics device also increases, resulting in failures due to timing violations. To compensate for aging-induced timing violations, this paper exploits configurable approximate computing. Assuming that target circuits have an exact and an approximate modes, they are configured to the approximate mode if an aging sensor predicts the violations. The estimation on an example circuit shows its lifetime is increased to over ten years without any additional power consumption.
A Key Management Protocol for Secure Device-to-Device Communication in the Internet of Things

The Internet of Things (IoT) is a network made up of a large number of devices which are able to automatically communicate in a Peer-to-Peer manner. The aim is to provide various services for the benefit of society. One of the main challenges facing the IoT is how to secure this Device-to-Device communication. Among all the security issues, the Key Management is one of the most difficult. This is mainly due to the fact that most of these devices have limited resources in terms of storage, calculation, communication and energy. Although different approaches have been proposed to deal with this problem, each of them presents its own limitations and weaknesses. In this paper, we propose a novel Key Management protocol for Device-to-Device communication in the Internet of Things. Compared to the existing Peer-to- Peer schemes, our solution provides the best compromise between the IoT requirements: resilience, connectivity, efficiency, scalability and flexibility. To achieve this balance, the network members are uniformly distributed into logical sets. A device shares then a distinct pairwise key with each member of its set and a unique pairwise set key with the members of each of the other sets. We then prove that our solution is resilient as the capture of a member compromises a negligible part of a large network. Moreover, we show that our scheme has a good network connectivity. It is then efficient as it does not require additional calculation or communication costs on the network members. We also demonstrate that our protocol is scalable as storage cost on the network members does not significantly increase when the network gets larger. We finally show that our solution is flexible.
Impact of QUIC on fairness in mobile networks

Transport protocols continuously evolve in order to meet the needs of users and new services. A recent significant example is Quick UDP Internet Connections (QUIC), an experimental protocol introduced by Google, that aims to replace two widely used transport and security protocols, namely Transmission Control Protocol (TCP) and Transport Layer Security (TLS). QUIC is implemented in user applications (rather than in the operating system’s kernel) and is meant to be resistant to ossification and therefore more versatile. Because of its evolvable nature, QUIC introduces new challenges in managing fairness. In this paper, we focus on determining the influence of QUIC on the data rate of mobile users. We specifically analyze protocol fairness when TCP and QUIC flows coexist on the wireless link of a mobile network. During our fairness assessments, we identified the impact of the following QUIC implementation aspects: the emulation of multiple TCP connections, the limitation of the congestion windows size and the usage of the hybrid start (hystart). Results show these mechanisms have a strong influence on fairness when the loss rate is low on the mobile network. Indeed, a wrong setting of the default parameters of these mechanisms or the activation of the hystart option can affect the performance of the transport protocols and therefore also the fairness. Finally, the lack of standardization of the emulation of multiple TCP connection in QUIC makes us question more broadly how QUIC’s design philosophy accommodates fairness.
Split Ring Resonator Loaded Cylindrical Dielectric Resonator Antenna

We present a novel technique for the miniaturization of dielectric resonator antennas (DRAs) based on the magneto-dielectric concept. This is achieved by artificially inducing a strong magnetic resonance inside the DRA with a split ring resonator. The $\text{HE}_{11\delta}$ mode of the cylindrical DRA is excited via the slot under the DRA. With a split ring resonator made of two metallic rods on the lateral side of the slot, the operation frequency of the DRA antenna shows a remarkable red-shift, i.e., a significant miniaturization of the antenna's electrical size. Numerical simulations confirm that nearly 50% size miniaturization is achieved, while the antenna efficiency remains higher over 60%.
Preferencias de prescripción de antibióticos ante infecciones odontológicas bacterianas por estomatólogos Preferences of prescription of antibiotics in odontology bacterial infections by dentists

Introduction: the use of antibiotics in odontology is characterized by an empiric prescription based on clinical and bacterial epidemiology. Objective: to determine what antibiotic is preferred by a group of dentists from Mayabeque Province for the treatment of bacterial odontology infections. Methods: a descriptive, transversal study was performed sending a questionnaire by EMail to 123 professionals who work in this province, it was formed by three questions elaborated in form of a fan related to; professional formation (Basic general dentist),
Real Life Care: A Smart Method for Aquaculture

Aquaculture termed in the manner that fish or crustacean farming deals with the breeding, rearing and production of water plants and organisms. Numerous real water parameters influence the yield of aquaculture result. This paper aims at the implementation of an automated aquaculture farm. The proposed system gathers the data such as the water pH, level, temperature and it execute suitable variations in the water habitat at appropriate times in the absence of human mediation. This system will inform the farmer as pH of water exceeds maximum threshold or if it reduces under the minimal threshold.
Softwarization of SCADA: Lightweight Statistical SDN-Agents for Anomaly Detection

Given the importance of an early anomaly detection, Intrusion Detection Systems (IDSs) are introduced in Supervisory Control And Data Acquisition (SCADA). Agents or probes form the cornerstone of any IDS by capturing network packets and extracting relevant information. However, IDSs are facing unprecedented challenges due to the escalation in the number, scale and diversity of attacks. Software-Defined Network (SDN) then comes into play and can provide the required flexibility and scalability. Building on that, we introduce Traffic Agent Controllers (TACs) that monitor SDN-enabled switches via Open-Flow. By using lightweight statistical metrics such as Kullback-Leibler Divergence (KLD), we are able to detect the slightest anomalies, such as stealth port scans, even in the presence of background traffic. The obtained metrics can also be used to locate the anomalies with precision over 90% inside a hierarchical network topology.
IOT in HealthCare: Smart Emotion Detector Utilizing Wearable Bio Sensors

Nowday's healthcare is crucial part in the society. Almost every single person is struggling with health related problems. By using previous research and survey we found that every disease is indirectly connected/related with the patient's emotional state or we can say mental health. So as per the literature survey user's emotions are performing the biggest role in his/her health. In today's world of technology where computers are utilized to recognizing human emotion states, but problem is that there are too many technologies are available for emotion detection such as image processing but they have few demerits, due to that it is difficult to recognize real emotion from the fake emotions. by seeing the growth of technological world this domain needs more attention and contribution of research. This paper proposes a system to make existing emotion detection more efficient. Bio sensors (Non Invasive) are used to collect emotion related data from human body. By utilizing EDA (Electro Dermal Activity) we measure skin conductance of human body to recognize the various stimuli. After the emotion detection using behavioural analysis (Emotion Pattern) we can predict the future possible diseases.
Finite Element Model Of A Novel Three-Phase Inductive Saturated-Core Fault Current Limiter

Inductive saturated-core fault current limiter (iSCFCL) plays more important role in today’s power systems. It is considered as a commercial solution for high short circuit current limitation, power system safety and reliability improvement. In this manuscript, a novel improved, compact structure, self-triggered and recovery three-phase (iSCFCL) is proposed, analyzed and numerically simulated in finite elements model (FEM). Principal operation, most adequate parameter design and performance validation under different fault conditions is presented. The model structure is based on using only one magnetic core to minimize the size. The analyses include 3D modeling, electromagnetic field and simple electric circuit simulations carried out in COMSOL Multiphysics software. The simulation results approve the effectiveness of the proposed structure for high short circuit currents limitation, negligible effect during the normal operation and very fast recovery after fault clearance.
rQUIC: Integrating FEC with QUIC for Robust Wireless Communications

QUIC, fostered by Google and under standardization in the IETF, integrates some of HTTP/s, TLS, and TCP functionalities over UDP. One of its main goals is to facilitate transport protocol design, with fast evolution and innovation. However, congestion control in QUIC is still severely jeopardized by packet losses, despite implemented loss recovery mechanisms, whose behavior strongly depends on the Round Trip Time. In this paper, we design and implement rQUIC, a framework that enables FEC within QUIC protocol to improve its performance over wireless networks. The main idea behind rQUIC is to reduce QUIC's loss recovery time by making it robust to erasures over wireless networks, as compared to traditional transport protocol loss detection and recovery mechanisms. We evaluate the performance of our solution by means of extensive simulations over different type of wireless networks and for different applications. For LTE and Wifi networks, our results illustrate significant gains of up to 60% and 25% savings in the completion time for bulk transfer and web browsing, respectively.
Detection and Extraction of Abnormality from Brain MRI Image Using Extended Fuzzy-C-Means Clustering Algorithm

Computerized automated detection of brain disorders is complex as it heavily depends upon the imaging technique, shape and size of the brain and resolution of the image. In this paper we are going to give an efficient algorithm to detect and extract abnormality from brain MRI using Extended-FCM and Density-based clustering technique which perfectly separates out the abnormal lesion with lesser number of input parameters required. Our all new extended-FCM proves to be efficient here, as in 92% of the cases it gives clustered output having high Silhouette index in lesser number of iterations. This approach will facilitate automated detection of brain diseases in rural and remote areas.