Miracle-dz/UniFAR-FTUs huggingface dataset:
WDB's Query Interface Extraction Method Based on Watir & Ruglar Expression

With the wide application of the Web databases (WDB), it has become a hot topic of the current research to make full use of data. WDB query interface is an important way to get the WDB data, it is a significant prerequisite to obtain the data efficiently that we can realize the full representation and extraction for WDB query interface. This paper presents a new representation based on owl for WDB query interface; at the same time this paper gives the extraction methods based on regular expression and watir for the context of each query interface, form information and the relationship information between the form fields. This work provides an important foundation for the further classification and integration of query interface.
A 0.33-0.73 THz source based on phase-locked Josephson flux-flow oscillator

A new implementation for a terahertz flux-flow oscillator (FFO) based on a long Josephson junction is presented. The oscillator is integrated with the lens antenna on a single chip providing the THz emission in the open space, and with a harmonic mixer (HM) based on a SIS junction for a frequency and phase locking. We used the double slot antenna to output the emission from the planar transmission line to the open space, this antenna is coupled to the elliptical silicon lens forming narrow output beam of THz radiation. Two designs of antenna and matching structures coupled to the oscillator are developed and fabricated, the operating ranges 0.33 - 0.57 THz and 0.42 - 0.73 THz were obtained experimentally for these designs. The emission to open space was measured by an external superconducting receiver located in the separate cryogenic system.
A Hybrid Scheme for Feature Selection of High Dimensional Educational Data

Now a days, in educational data sets, the gigantic amounts of records can be the problem in generating good quality data. Lately, a lot of educational researchers are using the data mining methodology to analyze the data. But, several research studies focus on the selection of right learning algorithm rather than carrying out the feature selection on data. Therefore, the dataset has problem like high computational complexity and performing classification on such data requires a lot of computational time. This paper will give a summary of the feature selection methods which are being used for analysis of features of data. The proposed hybrid methodology is a combination of both feature selection and wrapper based technique, which helps to enhance the quality of students’ data set.
A Palmprint Classification Method based on Local Sparse Coding

A palmprint classification method based on local sparse coding is presented. Firstly, patch-wise statistics based local binary patterns features are as input of local sparse coding classifier. And then the method finds k samples, which are similar with the test sample. Finally the sparse representation classifier is applied to the test sample and the k samples to determine the classification information of the test sample in the database. The experimental results on PolyU palmprint database show that new method has higher classification accuracy than the tradition methods.
Transient Angle Stability of Virtual Synchronous Generators Using Lyapunov’s Direct Method

With an increasing number of distributed energy resources integrated into the power system, inverters need to take on the corresponding responsibility for the security and stability of the system. Virtual synchronous generators (VSGs) are proposed to mimic dynamic characteristics of traditional rotational synchronous generators (RSGs) to compensate for the loss of inertia and reserve capacity. Similar to RSGs, VSGs will experience transient angle instability under certain conditions, which likely threatens the system security. In this paper, transient angle stability of a VSG is investigated by Lyapunov’s direct method. The deteriorative effect of reactive power control loop on transient angle stability is first analyzed and then voltage variation is incorporated into an approximate Lyapunov’s direct method. In this method, the inverter internal voltage is treated as a parameter rather than a state variable. Moreover, the influence of different parameters on transient angle stability is studied. Finally, an enhanced control strategy is presented to improve the transient angle stability by adjusting the reference power. Numerical simulation results are presented to validate the effectiveness of the proposed method and the enhanced control.
Blind Source Camera Clustering of Criminal Case Data

This work focuses on the examination of a real word criminal case data set, consisting of still images found on a suspect’s computer during a sexual abuse case investigation. Various source camera clustering algorithms, all based on the photo-response non-uniformity (PRNU), are employed to organise the images according to their source camera. The investigated data set poses many challenges to the algorithms due to the unknown origin of its images. The clustering result’s quality is examined using different external and internal cluster validity indices (CVIs). Before attempting to cluster the criminal case data, the clustering algorithms and CVIs have been examined on a different data set with known ground truth, which revealed that some algorithms and CVIs are not appropriate for this scenario.Finally, we give some recommendations on which clustering algorithms and CVIs can be used in this scenario and discuss the problems and challenges we faced while investigating the data set.
Convolutional Neural Network for Prediction Method of Path Loss Characteristics considering Diffraction and Reflection in an Open-Square Environment

This paper proposes new path loss prediction model using CNN that is one of the famous method in fields such as image-recognition in recent years. The proposed model can solve problems with consideration for effect of diffraction and reflection which is not considered in previous model. To verify the model, ray-tracing simulation in Open-Square environment was conducted by multiple scenarios. One simulation result were used for verification of the proposed model, and other results were used for learning of CNN. As a result, estimation accuracy was improved RMS error about 1.5 dB compared with the previous model in Non-Line-of sight area.
Electronically-Steerable Transmitarray Antennas for Ka-Band

This paper reports the design and experimental validation of electronically-steerable transmitarrays at Ka-band. Two transmitarrays with 20×20 and 14×14 elements have been prototyped and full characterized, for an operation in switchable circular or linear polarization. They are based on 1-bit and 2-bit phase quantization tunable unit-cells, respectively. To control locally the transmission phase on the transmitarray aperture, two or four p-i-n diodes have been integrated on each unit-cell for the 1- or 2-bit designs, respectively. The measured broadside gain at 29 GHz of the 1-bit prototype is equal to 20.8 dBic with a 3-dB relative bandwidth of 14.6%. For the 2-bit architecture, the measured broadside gain at 29 GHz is equal to 19.8 dBi with a 3-dB bandwidth of 16.2%.
Analytic-Based Synthesis of Tiled Arrays

The partitioning of phased arrays into tiles reduces significantly the costs of the whole system and allows an easy assembly and maintenance of the antenna. Because of the deployment of phased arrays in many civil radar and communication systems is becoming very attractive, due to the electronic steering and reconfigurability, efficient synthesis techniques able to effectively optimize the tiling configuration and the feeding network control points are of great interest in the antenna community. This work aims at reviewing recent synthesis methods for tiled arrays, focusing on analytic-based techniques, and exploiting recent mathematical tiling theory for an efficient synthesis of tiled arrays.
Multiband antenna for WLAN, WiMAX and future wireless applications

A novel multiband microstrip patch antenna suitable for WLAN and WiMAX applications is proposed in this paper. The antenna primarily comprises of a defected ground plane and an inverted, upright chair type patch. The antenna resonates at four frequencies, 3, 3.5, 4.1 and 5.3 GHz with bandwidths of 640, 420, 620 and 150 MHz respectively, which makes it suitable to use for WLAN, WiMAX, and other RF communications. The miniature size of $25 \times 19 \times 1.53$ mm 3 gives this antenna a cut above the rest, which is available in larger sizes. To evaluate the performance of the proposed antenna, CST Microwave studio has been used. The return loss, gain, radiation pattern, the surface current has also been analyzed here.
A Camouflage Antenna Array Integrated with a Street Lamp for 5G Picocell Base Stations

This paper proposes a new design of a camouflage dual-polarized antenna for 5G picocell base stations. The antenna covers the frequency band from 3.25 GHz to 3.85 GHz with a good isolation between its ports (≥ 22 dB) and a low profile. The proposed antenna consists of two layers separated by an air gap (a radiating layer and a feeding layer). The radiating layer uses a transparent conducting film (Indium Tin Oxide) to form two patches (a radiating patch and a parasitic patch) printed on the opposite sides of a glass laminate. The radiating patch is meshed to improve the transparency of the antenna. The visual transparency of the radiating layer makes it possible to be integrated with the glass cover of the head of a street lamp while the feeding layer is embedded inside the head for camouflage. A 2 × 2 antenna array is formed to achieve a realized gain of 13.2 dBi and cover a solid angle of 33° × 33° making the proposed design a good candidate for the 5G picocell base stations.
Nucleic Acid Sequencing Under Mars-Like Conditions

All known life uses informational polymers based on nucleic acids. Future missions to Mars and Ocean Worlds such as Enceladus and/or Europa may target these or related polymers in the search for extant life beyond Earth. Nanopore-based devices represent a promising approach for sensing and characterizing these, and possibly other, biomarkers. Here we demonstrate low-input (200 pg)DNA sequencing, equivalent to extraction from 106 Bacillus subtilis spores at 5 percent extraction yield, using the Oxford Nanopore MinION in a thermal vacuum chamber under Mars-like temperature (−60°C), atmosphere (100% CO2), and pressure (400 to 500 Pa). Current limits of detection correspond to 2 to 5 pg DNA. With additional advances in nucleic acid extraction and library preparation efficiency, a sequencing-based approach to life detection will be viable at cell densities representative of the most extreme Mars analog environments here on Earth.
Optimal Strategy of Attack-Defense Interaction Over Load Frequency Control Considering Incomplete Information

Studying cyber attack-defense interaction over load frequency control (LFC) had become critical for guaranteeing the frequency quality and safety operation of power systems. It was revealed that both the attacker and the defender have multiple alternatives from strategy pools, which results in optimal strategy selection in pursuit of optimal payoff. In this paper, game theory model is introduced to analyze optimal strategy of attack-defense interaction over LFC. As to payoff calculation, we consider the comprehensive evaluating metric containing both the application effect and implementation cost of specific strategies, and propose a fuzzy logic-based calculation method. Considering the incomplete information in the attack-defense interaction game, we propose a mixed strategy method to obtain the optimal strategy. The simulation results show the effectiveness of the proposed optimal strategies.
Research and Application of Physical Unclonable Functions

With the rapid emergence and application of Internet of Things and artificial intelligence technology, lightweight system security certification has become a problem that needs urgent solution. Although the classic password authentication technology is effective, it is often limited to a limited amount of computing and storage resources, and the cost is greatly increased. However, physical unclonable function (PUF) can effectively solve this problem as an emerging technology. According to the implementation method of PUF, we divide 13 important PUF into three categories. Subsequently, we show its seven attributes, combine with its excellent attributes, explore its four application scenarios from the perspective of cryptographic engineering, and propose its four advantages in key generation applications. Finally, we also give three PUF chips for use.
Imitation-Based Task Programming on a Low-Cost Humanoid Robot

Humanoid robots are complex service platforms with anthropomorphic features, specifically designed for close interaction with humans. Conventional programming strategies are hardly applicable to humanoids due to the high number of degrees of freedom that must be coordinated concurrently. Therefore, exploiting humanoids’ potential in service tasks remains an elusive goal. One of the most promising techniques for dealing with humanoid robots is programming by demonstration, which allows even unexperienced users to easily interact with the robot based on the teaching by showing or imitation paradigm. In particular, the ability to imitate human gestures and follow task-relevant paths are essential skills for legged humanoid robots, as they provide the fundamental techniques for physical human-robot interaction. This chapter investigates the potential of imitation in programming humanoid motor skills. As target platform, we have adapted a Robosapien V2 (RSV2), a low-cost small humanoid available in the toy market. The chapter focuses on the teaching of basic, humanoid-relevant skills such as body postures and walking paths. We have explored and combined multiple sensing sources to capture human motion for imitation purposes, namely a dataglove, an electromagnetic motion tracker, and a monocular vision system for landmark recognition. The imitation approach illustrated in this chapter is rather general, even though its implementation is constrained by limitations of RSV2 and by sensor inaccuracies. In particular, the chapter reports successful experiments on gesture imitation, including arms motion as well as upper body and head movements. The gesture repertoire learned by the robot can serve both as a body language for understanding human requests in human-robot interaction and as a set of primitives which can be combined for programming more complex tasks. We believe that a deep assessment of a low-cost humanoid robot is extremely important for the robotic research community since the technological requirements and the costs to develop more advanced humanoid robots still prevent them to become broadly available. Currently, most high-end humanoids are developed as prototypes platforms under the supervision of important private companies. Therefore, low-cost humanoid platforms such as RSV2 provide an exciting and affordable opportunity for research in humanoid integration in service tasks.
Transient waves along electrical transmission lines. Waves in (1+1)-spacetime

The properties of transient waves along electrical transmission lines are investigated. In particular, the excitation of the waves by impressed voltage and electric current sources is studied. Specific choices of this excitation are shown to lead to ‘one-sided transmission’ only. Furthermore, the reflection and transmission at a localized line fault/defect is studied. An illustrative time-domain reflectometry experiment is discussed.
Performance Enhancement of Edge-AI-Inference Using Commodity MRAM: IoT Case Study

In this paper we demonstrate how performance of Edge-AI-Inference hardware can be enhanced by effectively using emerging commodity MRAM chips inside specific accelerator pipelines. We consider the special case of IoT-centric ‘normally-off/low-frequency’ AI inference workloads to benchmark the proposed approach. The proposed Non-Volatile AI Inference Accelerator (NVIA) is realized using FPGA and off-the-shelf MRAM chips. NVIA is benchmarked for Human activity recognition (HAR) dataset. Significant power gains, ∼9x (with Toggle-MRAM (180 nm)) and ∼750x (with STT-MRAM (22 nm)), were achieved compared to volatile SRAM.
Channel Estimation for a Multi-User System with Iterative Interference Cancelation

To allow multiple-access between small earth terminals and a satellite hub in a fully unsynchronized manner, the authors present a hub receiver which uses iterative interference cancelation on the physical-layer to separate the traffic. Instead of approaches like Contention Resolution Diversity Slotted ALOHA, which operates on the data-link layer, the receiver presented allows for interference cancelation within one time slot. While the general structure of the hub receiver was already introduced in [7] and [8], the estimation and equalization of channel impairments like sampling-clock offsets as well as carrier frequency offsets are targeted here. The system model is introduced briefly and channel estimation and equalization approaches are presented. For channel estimation the authors recommend a correlation-based channel tap estimator which uses the preamble as well as received and corrected data as pilots for better channel estimation in subsequent iterations. To equalize channel impairments two kinds of single-tap equalizers are investigated. The impact of the estimation and equalization approaches on the bit error rate performance of the system in comparison to previous investigated scenarios where the channel was assumed known are studied [8].
A Wi-Fi based Pedestrian Navigation System using Kalman Filter and Particle Filter

This paper presents a Wi-Fi based pedestrian navigation system in indoor environment. The proposed system is constructed by a mobile phone and several Wi-Fi Access Points(AP). User carries the phone on foot while moving in indoor environment at normal speed without any external positioning techniques. The Wi-Fi Access Point are settled in the building, while calculating the distance between transmitter and receiver with the received signal strength (RSS) method. Since the radio wave propagates with the inverse-square law, distance can be calculated based on the relationship between transmitted and received signal strength. The user can be located by Weighted Circular Algorithm. The aim of this work is to acquire accurate results by implementing tow kinds of filters in the positioning framework. Tracking filters are integrated to reduce estimation errors causing by radio signal attenuation and multi-path effect. Regarding to the constant velocity model, Kalman Filter(KF) and Particle Filter(PF) are effective approaches to reduce the estimation errors. Experimental results have successfully validated the effectiveness of proposed positioning algorithms and its associated tracking filters.
Java: A Framework for Programming and Problem Solving

From the Publisher: Lambert and Osborne's content appeals to professors who want to cover traditional CS1 material using the powerful capabilities Java provides. Chapter One starts out strong by introducing students to the topic of problem-solving. Object-oriented design and Java features are introduced as needed. Professors who teach CS1 in Java face a dilemma: either restrict the course to character-based terminal I/O with a C++ look, or introduce graphical user interfaces (GUIs) and overwhelm students with the details of Java's Abstract Windowing Toolkit(AWT). To overcome this dilemma, the text comes with a software package, BreezySwing, which simplifies the programming of GUIs. BreezySwing insulates students from the complex details of laying out window components and responding to interface events. Lambert and Osborne's book and software package enable students to enjoy the excitement of writing GUI-based programs without being overwhelmed by or distracted from the more basic issues of algorithm design and the factoring of programs into classes. The University Edition of Borland's JBuilder 4 is packaged with the text.
Research on Multi-object Job-shop Scheduling Strategy under Uncertain Environment

In this paper, we propose an improved PSO algorithm to optimize the RBF neural network(IPSO-RBF)for function approximation on the basis of the multi-objective stochastic scheduling model established by predecessors using stochastic programming knowledge. The experimental results show that the improved algorithm can solve the job-shop scheduling problem. The accuracy and speed of the solution have been improved.
Versatile control of multiple morphing surfaces of Micro Air Vehicle with reduced weight and optimized power consumption

Morphing or shape changing of aircraft, though attractive from aerodynamics point of view, entails additional weight and power penalty and control complexities that pose research challenges. Researchers generally agree with the aerodynamic benefits of morphing and propose Shape Memory Alloy (SMA) actuators for controlled morphing. However, the methods discussed in the literature, generally uses computer based software and data acquisition systems that are suitable for ground based operation. This paper presents an in-flight configurable morphing Micro Air Vehicle (MAV) with four SMA actuated morphing surfaces. As a proof of concept, NAL’s 300mm MAV airframe was modified to provide deflectable leading edges and trailing edges on both left and right side wing of the MAV. These four morphing surfaces could be actuated independently. The paper also presents the weight reduction methods employed to achieve a weight budget of less than 6g per morphing system. The power optimization using staggered PID-PWM control algorithm has reduced the peak battery current drawn by four SMA actuators (apparently operating together) to that of a single SMA. Typical rate of 4.4°/s for actuating the morphing segment and 2.6°/s for deactivating the same have been achieved at a control accuracy of ±0.5°.
LTCC Based Dual-Polarized Magneto-Electric Dipole Antenna for 5G Millimeter Wave Application

A dual-polarized millimeter wave antenna for 5G application is proposed in this paper. Magneto-electric dipole antenna concept is utilized for this design. Due to the high dielectric constant ceramic material used by LTCC process, the size of the antenna is small which is helpful for integration of the antenna into some home held devices, such as femtocell, Customer-Premises Equipment (CPE), etc. The common operating frequency range of the antenna is from 26.39 GHz to 28.64 GHz that is sufficient for the FCC regulated frequency band. The boresight gain of the antenna for both polarizations is above 5.5 dB across the working frequency range. And the corresponding radiation efficiency is on the level of 90%. The isolation of the dual-polarized antenna is lower than −36 dB. With the help of the LTCC fabrication technology, this antenna is suitable for 5G millimeter wave applications by integrating into the antenna module.