Miracle-dz/UniFAR-FTUs huggingface dataset:
Review Paper on Untwist Blockchain: A Data Handling Process of Blockchain Systems

Blockchain technologies are secure massive power in the last few years. Block chains are distributed ledgers that facilitate parties who do not steady trust each other to maintain a set of ecumenical states. The parties concur on the easiness, standards and histories of the states. As the technology backdrop is enlarge swiftly, it is mutually consequential and arduous to have a rigid grasp of what the foundation technologies have to offer, particularly with difference to their data dealing out capabilities. In this paper, we first survey the state of the art, fixating on secretive block chains. We analyze both in-engenderment and research systems in four dimensions: disseminated ledger, intrusion detection, consortium Blockchain, consensus protocol and perspicacious agreement. We then present BLOCKBENCH, a criterion skeleton for understanding performance of private block chains and public Blockchain. In this chapter we have discussed the circumscriptions of Blockchain.
A feasibility study on bushing tap UHF sensing method for partial discharge in transformer

the paper proposes a new detection method for partial discharge in transformer. Different from conventional UHF method, which mainly detects electromagnetic wave motivated by discharge, the proposed method detects current pulse signal excited by discharge in UHF band from bushing tap grounding wire. An experiment is performed to study feasibility of the proposed method and to make a contrast with conventional UHF method. It is concluded that, though the sensitivity of proposed method is a little lower compared to internal antenna UHF method, it is still enough to detect partial discharge effectively, and the proposed method is easy to operate and out of problems such as seal which internal UHF method owns. The proposed method offers a relatively practical solution to on-site detection for partial discharge in transformer.
Applying a Lightweight Enterprise Architecture Framework for Parcel Data Entry Optimization

Transportation and logistics businesses strive to certify that the right conditions are in place for keeping products on the move. Reducing transportation costs makes the top of the list as far as concerns for this industry, however, other measures such as improving existing business processes may also impact on operational cost by decreasing error rates. Implementing new IT systems is often viewed as a solution, but poor alignment between IT, business processes and regulatory compliance can create nonobvious pain-points. This study identified the need for corrective measures for recording parcel data in a logistics company system, but dug deeper on the business chain so as to develop a lightweight Enterprise Architecture based on Zachman Framework to better understand the context, map each stakeholder's role and clarify the relationship between them.
Open IoT Ecosystem for Smart EV Charging

Many domains are trying to integrate with the Internet of Things (IoT) ecosystem, such aspublic administrations starting Smart City initiatives all over the world. Cities are becomingsmart in many ways: smart mobility, smart buildings, smart environment and so on. However, theproblem of non-interoperability in IoT hinders the seamless communication between all kinds ofIoT devices. Different domain specific IoT applications use different interoperability standards. These standards are usually not interoperable with each other. IoT applications and ecosystems therefore tend to use a vertical communication model that does not allow to share data horizontally across the different IoT ecosystems. In 2014, The Open Group published two domain-independent IoT messaging standards O-MI and O-DF aiming to solve the interoperability problem.In this article we want to describe the practical use of O-MI/O-DF standards in a mobile application for the smart city context, in particular for the Smart Mobility domain, electric vehicle (EV) charging use case. The proof-of-concept of the mobile application for EV charging was developed as a part of an EU (Horizon 2020) Project bIoTope.
Driver Behavior Characteristics Identification Strategies Based on Bionic Intelligent Algorithms

The exact and reliable understanding of driver behavior characteristics has a large potential contribution to the active safety control system, advanced driver assistance system, and intelligent traffic system. This study presents a driver behavior characteristics identification strategy based on bionic intelligent algorithms. First, a driver behavior data acquisition system is established to be used with test subjects of different driving skill levels for driving data acquisition. The preview optimal curvature model, which directly reflects the driver's behavior characteristics based on its parameters, is then chosen as the ideal driver behavior model and is identified through the genetic algorithm, particle swarm optimization, and back propagation neural network. Moreover, this paper discusses the application of driver behavior characteristics identification in an integrated chassis control system (ICC), which integrates active front steering with electronic stability control. Finally, simulations are performed to verify the identification results and the application in the ICC by PanoSim and MATLAB/Simulink software. Based on the results, the proposed identification strategy precisely characterized the driver behavior. As a result, its application in the ICC improved the path-following ability and vehicle stability performance of the drivers.
System Design of A Dual-Arm Surgical Robot for Single Port Access Surgery

Single port access surgery (SPAS) attract much attention by taking potential advantages of fewer incisions and cosmetic therapeutic effects. Compared with multi-keyholes minimally invasive surgery (MIS), SPAS could fit through a single incision to deploy instruments for tissue manipulation. Robotic assistance SPAS is in great interest via improved precision, flexible manipulation and computer assisted. In order to perform smoothly in SPAS, dexterous surgical instruments are in urgent needs. This paper presents a surgical robot with dual arms configuration, with six degrees of freedom (DOFs) for each. The workspace of the dual-arm configuration is analyzed based on the kinematics of the orthogonal rotation joint of the surgical manipulator is calculated by using screw theory. The position accuracy experiment is performed based on the kinematical computation, and the results are promising for tissue surgical intervention. The preliminary experiment of tele-controlling the surgical manipulator for example ring transfer tasks points a way of performing SPAS by the existing designs.
Blind/Deaf Comunication API for Assisted Translated Educational Digital Content

With the rise of usage in digital content in education, deaf and blind communities face communication barriers which as a result makes education less inclusive. These barriers do not allow them to integrate within the larger scholarly communities as most tools used for information dissemination remain inaccessible to them. This paper presents BDC-API (Blind/Deaf Communications API), a free-to-use modular toolkit that will ease accessibility for the blind and deaf communities to digital education content. This content includes the use cases of Massive Online Open Courses and Serious Games used in education. BDC-API incorporates the use of state of the art technologies such as, 3D sign language translator, grammar translation, voice recognition and text-to-speech. This paper demonstrates in greater detail, how these technologies culminate in the creation of an API ready to use for any educational digital content and how the BDC-API can ensure higher quality of digital content.
Energy Efficient Precoder in Multi-User MIMO Systems With Imperfect Channel State Information

This letter is on the energy efficient precoder design in multi-user multiple-input multiple-output systems which is also robust with respect to the imperfect channel state information at the transmitters. In other words, we design the precoder matrix associated with each transmitter to maximize the general energy efficiency of the network. We investigate the problem in two conventional cases. The first case considers the statistical characterization for the channel estimation error that leads to a quadratically constrained quadratic program with a semi-closed-form solution. Then, we turn our attention to the case which considers only the uncertainty region for the channel estimation error; this case eventually results in a semi-definite program.
Application of Virtual Reality Tools in the Teaching of Concepts in Projects of Fast Loading Stations

The classroom will always present great challenges to the teachers. It is important to know how to provide learning to a new generation of students and to try to understand how students learn today. Each student arrives at school with a diversity of knowledge resulting from their own life experience, probably divergent from that of their colleagues. On the other hand, the domain of the new Information and Communication Technologies (ICTs) is part of their own experience. The teacher/student relationship is becoming more and digital and, therefore, the limitations of space are more and more reduced. ICTS have greatly altered the way students have access to knowledge, how they share it or how they simply organize the work. Thus, traditional pedagogical strategies and processes must integrate technologies, as a way to apply new work methodologies that value the students' reflection and critical thinking. In return, technology will bring them closer to knowledge, increasing their autonomy and consequent motivation. This work aimed at introducing the topic of sustainable mobility, so that electric vehicles become a growing reality in everyday life. A power generation system was proposed using a grid of photovoltaic panels, which in turn will allow the sustained feeding of a quick charging station. The surplus of electricity produced by the grid of panels can be used to meet the energy needs of a service station. A varied range of software tools were used to address the challenge. This article aims at discussing the use of different software in the educational environment, highlighting the advantages, as well as the difficulties associated with the approach. Several educational software types were used in the final project of a master's degree in ISEC (Instituto Superior de Engenharia de Coimbra). Software tools are an effective way to train students. The use of virtual reality tools in concept teaching of fast charging stations was quite effective in the improvement of students.
Action Recognition by Jointly Using Video Proposal and Trajectory

As a popular research field in computer vision community, human action recognition in videos is a challenging task. In recent years, trajectory based methods have been proven effective for action recognition. However, because trajectory is generated around motion region, trajectory based methods often only pay attention to regions with high motion salience in video and ignore motionless but semantic objects. To compensate the shortage of trajectory based methods, video proposal is utilized for its ability to discover semantic object in this paper. In the proposed method, video proposal and trajectory are extracted simultaneously to capture motion information and object information. The proposed method can be divided into three steps: 1) trajectories and video proposals are extracted from video to capture motion information and object information respectively; 2) a trained Convolution Neural Network (CNN) model is employed to describe the extracted trajectories and video proposals; 3) the holistic representation of video is constructed by Fisher Vector model and then input to classifier to get the action label. The complementarity between trajectory and video proposal enables the discrimination power of the proposed method for kinds of actions. The proposed method is evaluated on UCF101 and HMDB51, on which the promising results prove the effectiveness of the proposed method.
Intraoperative error in estimation of blood loss due to change in the size of abdominal swab

1. Mazariegos GV, Morton DH, Sindhi R, Soltys K, Nayyar N, Bond G, et al. Liver transplantation for classical maple syrup urine disease: Long-term follow-up in 37 patients and comparative United Network for Organ Sharing experience. J Pediatr 2012;160:116-21. 2. Frazier DM, Allgeier C, Homer C, Marriage BJ, Ogata B, Rohr F, et al. Nutrition management guideline for maple syrup urine disease: An evidence and consensus based approach. Mol Genet Metab 2014;112:210-7. 3. Fuentes-Garcia D, Falcon-Arana L. Perioperative management of a patient with Maple Syrup Urine Disease. Br J Anaesth 2009;102:144-5. 4. Nyhan WL, Rice-Kelts M, Klein J, Barshop BA. Treatment of the acute crisis in maple syrup urine disease. Arch Pediatr Adolesc Med 1998;152:593-8.
Trajectory Planning Based on Dual Torque Feedforward Control for Robot Astronaut Safe Movement on Space Station

The robot astronaut is a multi-body dynamics system with multi-degrees of freedom, nonlinearity and strong coupling. Its motion control and operation target are in micro-gravity environment, in which the robot is in a natural floating state. On space station, the dynamics of the robot is influenced by the internal force, contact force, inertial force and joint friction. At this point, the collision between the robot and the space station due to movement will greatly influence the safety of the robot and may cause serious damage. In this paper, we propose a control strategy based on dynamics and force compliant dual feed forward torque compensation, which greatly eliminates the impact force during the collision and realizes the safe movement of the robot on space station. Simulation results validate the effectiveness of the control strategy.
Headwater gas exchange quantified from O2 mass balances at the reach scale

Headwater streams are important in the carbon cycle and there is a need to better parametrize and quantify exchange of carbon‐relevant gases. Thus, we characterized variability in the gas exchange coefficient (k2) and dissolved oxygen (O2) gas transfer velocity (k) in two lowland headwaters of the River Avon (UK). The traditional one‐station open‐water method was complemented by in situ quantification of riverine sources and sinks of O2 (i.e., groundwater inflow, photosynthesis, and respiration in both the water column and benthic compartment) enabling direct hourly estimates of k2 at the reach–scale (~ 150 m) without relying on the nighttime regression method. Obtained k2 values ranged from 0.001 h−1 to 0.600 h−1. Average daytime k2 were a factor two higher than values at night, likely due to diel changes in water temperature and wind. Temperature contributed up to 46% of the variability in k on an hourly scale, but clustering temperature incrementally strengthened the statistical relationship. Our analysis suggested that k variability is aligned with dominant temperature trends rather than with short‐term changes. Similarly, wind correlation with k increased when clustering wind speeds in increments correspondent with dominant variations (1 m s−1). Time scale is thus an important consideration when resolving physical drivers of gas exchange. Mean estimates of k600 from recent parametrizations proposed for upscaling, when applied to the settings of this study, were found to be in agreement with our independent O2 budget assessment (within < 10%), adding further support to the validity of upscaling efforts aiming at quantifying large‐scale riverine gas emissions.
Upper Arm Force sEMG Analysis Based on SVM

Surface electromyography signal (sEMG) is the recruitment of electromyography signal on the human skin surface and has become an ideal source of control signals for artificial prostheses. This paper studies the relationship between the characteristics of sEMG and arm muscle strength. Firstly, the collected signal is denoised by using wavelet transform, and secondly the characteristics of the denoised sEMG are analyzed from the time-frequency domain. Then classify sEMG by the support vector machine classifier to establish the relationship between sEMG characteristics and arm muscle strength. Finally, the arm muscle force is converted into current, and establish the relationship between sEMG eigenvalues, arm muscle strength and current, thereby realizing intelligent prosthesis control.
Enterprise Architecture and Agile Development: Friends or Foes?

Nowadays, both agile development and enterprise architecture are often employed in large organizations. However there is still some confusion if these can and should be used together, and there is not much research about the possible interplay. The aim of this study is to bring new knowledge to the field of enterprise architecture and its relation to agile development. Twelve qualitative interviews with professionals in different roles, such as developers and architects, have been carried out. The participants belong to five different companies and the information obtained from them has been used to compare opinions and stated challenges regarding agile and EA. We found that some common opinions among the interviewees are; 1) agile development and enterprise architecture can be combined, 2) there are clear communication problems among architects, different teams, and project owners, and 3) there is a lack of system and application reusability.
Rigid Material on Top of a Compliant Flooring Effectively Reduces the Impact Force In The Event of a Forward Fall

The biomechanical studies have proposed several forward fall arresting strategies to reduce the impact forces in a human-robot collaboration environment. A proposed strategy is using a compliant flooring for an environment because it can reduce the stiffness of the ground. In this study, we proposed that if a rigid layer is mounted on a compliant flooring (double-layer flooring), the impact force is further reduced. In order to investigate this goal, we designed two subjective laboratory experiments. In experiment 1, the subjects were instructed falling to the ground where was covered by a single layer of compliant material (a foam pad). In experiment 2, the subjects fell on double-layer flooring when one rigid layer (a wood surface) was mounted on the compliant layer. The impact forces were measured for two short forward fall heights onto the outstretched hand. The results showed that the profile of the impact forces consists of two peaks. The first peak has a higher magnitude, and it is followed by the second peak with a lower magnitude. Comparing the magnitude of the first peak between two experiments shows a reduction of the impact force in experiment 2. In contrast, the magnitudes of second peaks are identical for both experiments. Therefore, we concluded that using a double-layer flooring, i.e.one rigid layer and one compliant layer can be an effective strategy for considerably reducing the impact force, and preventing the wrist fractures during the forward fall.
Utilization of aerial heterogeneous cellular networks: Signal-to-interference ratio analysis

As a component of future communication networks, aerial telecommunication platforms are a promising solution to meet surging traffic demands. These platforms can be used as aerial base stations (ABSs) to build an aerial heterogeneous network architecture. In this study, we explore the promising utilization of high- and low-altitude platforms (HAPs and LAPs) working on the same network as macrocells and femtocells, respectively. First, using stochastic geometry, we determine the probability of each user being associated with either a HAP or a LAP. The association probability is used for deriving the cell load of ABSs. Next, we derive the outage probability of a typical user in a certain tier that is equivalent to the downlink signal-to-interference ratio cumulative distribution function in aerial heterogeneous cellular networks. Moreover, we propose a dynamic placement and sizing algorithm for cells established by LAPs to achieve load balancing and enhance the overall quality of service for users inside the coverage of a HAP. Our simulation results show that the algorithm provides considerable gains over static aerial cellular networks. Furthermore, we derive the coverage probability of a target receiver when the downlink paths are correlated or uncorrelated. The results demonstrate the impact of the difference in elevation angles between HAPs and LAPs on the coverage probability of the target receiver.
Structure of the external auditory meatus of the Bowhead whale (Balaena mysticetus) and its relation to their seasonal migration

The external auditory meatus (EAM) in many species of mysticete whales is filled with a waxy ear plug. Though this lamellated structure is often used to age a whale, its formation and development remain undescribed. It is thought that growth layer groups (GLGs) are laid down annually, thereby increasing the size of this structure. Since some mysticete whales are migratory and many undergo molting, we hypothesized that the cyclical production of these GLGs may be related to these processes. The epithelia of both EAM and glove finger (a part of the tympanic membrane protruding into the EAM) of one juvenile and multiple adult bowhead whales from both fall (October: non‐molting) and spring (May: molting) seasons were dissected and examined anatomically and histologically. These tissue samples were compared with the adult oral epithelia at the same time periods. These epithelia shared a similar basic broad structure, though there were differences in thickness and presence of intraepithelial structures. All epithelia in the October specimens were rich in both glycogen and lipid. The parakeratinized epithelium of the oral cavity in the juvenile and some May specimens shed via the production of several superficial epithelial fissures. Other adult May specimens exhibited deep epithelial fissures, reminiscent of pressure ulcers, which would cause the detachment of the entire epithelium from the dermis. We propose that sloughed epithelial lining is the source of the GLGs in the ear plug. Correlating a potential molting sequence with these observations explained the presence of epidermal glycogen, deep epidermal fissures and dermal glycolipid, and to some extent calls into question the origin and structure of the ear plug itself. Further morphological characterization of ear plugs in bowheads is needed to better understand cell origin and ear plug formation.
16NM 6T and 8T CMOS SRAM Cell Robustness Against Process Variability and Aging Effects

At nanometer nodes, process variability and BTI effect affect the SRAM design. Thus, SRAM design at 16nm must consider these impacts and explore alternatives to enhance SRAM robustness. Also, the advent of portable computing requires circuit with low power consumption. This work investigates the most used SRAM cell, 6T, and an alternative 8T cell to compare the effects of variability and aging on power, timing and noise margins, when operating in nominal and near-threshold supply voltage. Process variations showed up to 100% of deviation on 6T cell at near-threshold operation. Aging presented an improvement of about 175% of 6T RSNM at near-threshold operation after 5 years but reduces 10% at nominal operation.