Miracle-dz/UniFAR-FTUs huggingface dataset:
Differential Evolution Based Channel Selection Algorithm on EEG Signal for Early Detection of Vascular Dementia among Stroke Survivors

The purpose of this investigation was to identify optimal electroencephalogram (EEG) channels for detection of early onset dementia. EEGs of five vascular dementia (VD) patients, fifteen stroke-related patients with mild cognitive impairment (MCI) and fifteen healthy subjects were recorded during cognitive impairment of working memory (WM) when eyes were closed. This paper demonstrate the combination of several technique for the analyses of multi-channel EEG signals these are Savitzky–Golay (SG) filter which was used in denoising stage, refined composite multiscale dispersion entropy (RCMDE) was used to characterize the EEG dataset. Moreover, Differential evolution-based channel selection algorithm (DEFS_Ch) was performed to identify the EEG channels with greatest efficacy for detecting early stage VD patients. In classification stage, Support vector machine (SVM) classification scheme was used befor and after applying the DEFS_Ch selection algorithm. The results revels the most suitable six channels that enhanced classification performance under cognitive load of WM condition. The DEFS_Ch algorithm raised the SVM classification accuracy from 89.52% to 95.24%, indicating that DEFS_Ch may offer a useful channel selection algorithm for consistent improvement of the identification of VD patients, MCI patients, as well as healthy control subjects.
Preliminary Investigation of Moral Expansiveness for Robots

To clarify whether humans can extend moral care and consideration to robotic entities, a psychological experiment was conducted for twenty-five undergraduate and graduate students in Japan. The experiment consisted of two conditions on a robot’s behavior: relational and non-relational. In the experiment participants interacted with the robot and then they were told that the robot was disposed. It was found that 1) the participants having higher expectation of rapport with the robot showed more moral expansiveness for the robot measured as degrees of reasoning about the robot as having mental states, a social other, and a moral other, in comparison with those having lower expectation, and 2) in the group of the participants having lower expectation of rapport with the robot, those facing to the robot with relational behaviors showed more degrees of reasoning about the robot as a social other in comparison with those facing the robot without these behaviors.
Developing Garuda Smart City Model With Big Data Framework

Bulukumba Regency is one of the regencies in South Sulawesi Province. Since the beginning of 2017, Bulukumba Regency has implemented the concept of a smart city but is constrained by several factors, one of which is the local government has difficulty in integrating the program of city development initiatives that have been built or planned. This is because the integration process involves various parties (the community and the private sector) as the owners of resources who have different views and objectives so that the new integration process can be carried out at the service level managed by the government even though it does not cover all fields. Garuda smart city model is a smart city model that will be implemented in Bulukumba Regency, by utilizing important data technology is expected to provide the solution to the implementation of the smart city in Bulukumba.
Quadratic Boost-Flyback DC-DC Converter With Coupled Inductors

A high-gain dc-dc converter, which integrates a quadratic boost flyback converter through coupled inductors is proposed in this paper. The integration generates a converter with high-gain using only one switch. The structure allows using the energy stored in the leakage inductance of the first coupled inductor on the load. Enabling this converter can be used in renewable energy systems, small wind turbines, compressed air systems, among others. The works contributes with a detailed analysis of the topology considering the leakage and the magnetizing of the coupled inductors. To validate the study, the numerical simulations were performed, as well as the tests in an experimental platform. The results, both theoretical and experimental, are in agreement which corroborates the proposed topology and the developed analysis. Thus, the converter shows up with great potential for the industrial sector.
A Wideband Printed Slot Antenna Using Double Feed and Blended Stub with Reflector for GPR Applications

This paper presents a printed slot antenna fed by microstrip line with double feeding strip, double-blended shape stub and stripline-loaded structure. Moreover, the reflector is added behind the proposed antenna in order to improve the directivity. The dimensions of the proposed antenna are 28 mm × 32 mm × 188.32 mm. The simulation results show that the proposed antenna achieves a very wide impedance bandwidth from 0.288 GHz to over 3 GHz which covers the frequency range for GPR application. The proposed antenna has an average gain about 6 dBi and the maximum gain of 8.85 dBi at 1.9 GHz, respectively. Compared to the existing GPR antennas, the proposed antenna has the small size, wide impedance bandwidth, good impedance matching and good radiation performance.
Emergent brain-like complexity from nanowire atomic switch networks: Towards neuromorphic synthetic intelligence

__The atomic switch is a novel nanotechnology that mimics the chemical synapse between neurons in response to electrical stimuli. When connected together in a self- organized manner, similar to a neuronal network, atomic switch networks exhibit emergent brain-like complexity properties, including nonlinear stochastic dynamics and memorization, making them a unique experimental system for emulating intelligence. Here we present a computational model developed to simulate atomic switch networks to explore the scope of emergent brain-like features. Our modelling results demonstrate the capacity for neuromorphic atomic switch networks to emulate long-term memory and generate scale-invariant fluctuations in signal transmission, in direct analogy to the brain.
Development of Luneburg Lens Type Antennas for Potential Mobile Communications at Millimeter Wave Frequencies

This paper summarizes some recent progresses of Luneburg lens type antennas for mobile communications at millimeter wave frequencies. Two-dimensional lens structures are examined. The development focuses on the miniaturization of antenna structures with proper multibeam overlapping and switching for dynamic beam-to-beam connection. Both numerical and experimental results are presented to validate the design.
DESIGN OF HALF ELLIPTIC CIRCULAR SLOT MONOPOLE ANTENNA ON A PARTIAL OR DEFECTED RECTANGULAR GROUND PLANE FOR WLAN & UWB APPLICATIONS

Monopole antenna is a wideband antenna working under the principle of travelling waves. The Half Elliptic antenna structure is taken as the reference and it is optimized and designed for WLAN (5.2 GHz resonant frequency) and the entire UWB (3.1 – 10.6 GHz) applications. The structure that is proposed in this paper consists of an optimized half ellipse with a circular slot on the top side and a partial rectangular ground plane at the bottom side. The Partial ground plane as a defected ground plane structure has been introduced in order to improve the bandwidth. The simulation has been carried out in ANSYS HFSS V13.0 with FR4 substrate (€r=4.4) of thickness 1.6mm. The results show that it works for WLAN frequency as well as UWB frequency range.
Family of Boost Converters Based on Switched Coupled Inductor and Voltage Lifter Cell

This paper proposes a high step-up boost converter family which is based on a switched coupled inductor (SCL) and a voltage litter cell. The derivation of converter topologies of the family using SCL and voltage litter cell is explained in detail. The operation of the converters is explained using the converter which has the highest gain. The operation of the other converter topologies can be explained using a similar approach. The converter with the highest gain is theoretically analyzed assuming its operation in the continuous conduction mode (CCM) to obtain expressions for the static voltage gain, capacitor voltages, voltage stresses of switching elements, inductor currents and boundary mode operation. The operation of the converter is validated using simulation assuming near ideal conditions.
Equivalent Parallel Capacitance Cancellation for Improving the Characteristics of CM Filters Using Negative Impedance Converter

In this paper, we propose an approach to cancel the equivalent parallel capacitance (EPC) of CM choke with negative capacitance, generated by negative impedance converter (NIC). With the CM choke equivalent circuit, the EPC of CM choke windings are first accurately calculated by testing its impedance using impedance analyzer. The operating principle of NIC is then analyzed and the negative capacitance is realized. Finally, the EPC cancellation is realized through the negative capacitance in parallel with one of the CM choke windings. The cancellation is verified by network analyzer and EMI measurement. Experimental results show that the proposed technique can effectively reduce the effects of EPC and significantly improve CM filter’s high frequency attenuation performance.
A 28 GHz 4 × 4 U-Slot Patch Array Antenna for mm-wave Communication

In this paper, a 28 GHz $4\times 4$ U-slot patch array antenna for mm-wave communication is proposed. The proposed antenna is comprised of16 rectangular patchs with U-slot and microstrip line feed network. Rectangular patch antennas are arrayed in $4\times 4$ formation to obtain a high gain. The -10dB reflection coefficient bandwidth of array antenna is 4.91 GHz (25.16 GHz −30.7 GHz) and the maximum gain is 17.01 dBi in the y-z plane.
Coaxially Fed Monopole Antenna Composed of Composite Right/Left-Handed Transmission Line

The utilization of the high order negative resonances of the coaxially fed monopole antenna using composite right/left-handed (CRLH) transmission lines (TLs) are considered. By adjusting the structure parameters at the feeding point, the input impedance characteristics seen by the fed can be designed easily. The impedance at each high order negative resonant mode of the proposed antenna matches the feeding coaxial line of which characteristic impedance is 50 $\Omega$
The Solder Life Prediction Model of Power Module under Thermal Cycling Test (TCT)

Solder as an interconnection material is widely used in power semiconductor device. The solder reliability is a challenge in higher temperature operation. This paper provides a preliminary solder life prediction model based on thermo-mechanical finite element method (FEM) with material’s creep characteristics. To construct the life model, not only simulation but also experiment are necessary to be executed. In the experiment stage, the solder crack would be observed by Scanning Acoustic Microscope (SAM) [1], which help us calculate the life cycle when initial crack occurred and the crack propagation rate. In simulation stage, simulation would be implemented by ANSYS and creep material properties would be used. In this paper, the Garofalo-Arrhenius creep equation as a steady state creep model was used to express the solder alloys, and the solder’s strain value would be got from simulation results. The solder life model can be constructed by Dzrveaux semi-empirical life prediction formula.
A Rodent Flash FPGA Control System for Closed-loop Optogenetic Stimulation to Suppress Seizures

in this effort, we report a low power Flash FPGA based control system for benefiting closed-loop neuroscience experiments. A digital implementation of closed-loop proportional-integral-derivative control algorithm has been implemented for offering more flexibility to generate further optogenetic stimulation to stabilize the epileptiform oscillation in epileptiform neuron network. The proposed digital control system receiving recordings from an implantable probe, preformed the closed-loop control algorithm and generating optogenetic stimulation to control epileptic seizures as a closed-loop system. The prototype is capable of satisfying the real time constraints posed by the application when clocked at 20 MHz which costs 4.67 rnA.
Printed Technology Solutions for Audio Transducers

We propose novel printed technology solutions for the fabrication of electro-acoustic audio transducers. Flexible, transparent thermoacoustic (TA) loudspeakers are fabricated using spray coating of silver nanowires (AgNWs) on a 75 $\mu\mathbf{m}$ thin polyimide substrate. The fabricated devices show interesting optical and electric properties for integration in audio systems. The thermal and the acoustic characterizations shows very good agreement with the models proposed in literature. The proposed technology achieves up to 40 dB SPL at 1m distance, retaining its properties even under large substrate deformations.
Optimizations of Negative Capacitance Independent Dual-Gate FinFETs

In this paper, we introduce a novel negative-capacitance device, named as negative-capacitance independent dual-gate FinFETs (NC-IDG-FinFETs) that can reduce the number of transistors used in circuit designs. We stack thin ferroelectric (FE) layers into the two gate stacks of baseline traditional independent dual-gate FinFET devices. We chose HfSiO (with the typical anisotropy constants of $\alpha_{FE}=-8.65\mathrm{e}10$ cm/F, $\beta_{FE}=1.92\mathrm{e}20$ cm5/ F/C2, and $\gamma_{FE}=0$ cm9/F/C4) as the material with negative capacitance effect. The high-K dielectric Hf02 is used between the FE layer and the channel. We optimize the turn-on currents, leakage currents, and the switching current ratio by adjusting ferroelectric thickness. Simulation results show that the proposed devices can increase the on-state current and decrease the leakage current, and increase the switching current ratio.
Feedback Control of a Motorized Skateboard

This paper develops a feedback control solution for the automatization of a motorized skateboard, also called symmetric snakeboard in the robotics and automatic control literature. Controlling this system is particularly challenging due to the association of kinematic and dynamic nonintegrable constraints to which it is subjected. The transverse function approach, combined with backstepping, is used to derive dynamic feedback laws that ensure practical stabilization of arbitrary reference trajectories in the Cartesian space. Simulation results illustrate the proposed approach.
Software-Defined Multimedia Streaming System Aided By Variable-Length Interval In-Network Caching

Explosive growth in video traffic volumes incurs a high percentage of redundancy in today's Internet, following the 80–20 rule. Fortunately, the advanced in-network cache is considered as an effective scheme for eliminating the repetitive traffic by caching the popular content in network nodes. Besides, the emerging software-defined networking (SDN) enables centralized control and management, as well as the collaboration between network devices and upper applications. Moreover, the Network Functions Virtualization is also developed to support for customized network functions, including caching and streaming. This inspires us to design an SDN-assisted multimedia streaming Video-on-Demand system, integrating in-network cache, to improve the quality of service. The designed architecture is capable of reducing the redundant traffic via the reusable duplications. In particular, it can achieve greater performance gains by deploying specific scheduling policy. We further propose a variable-length interval cache strategy for RTP streaming, which can realize the self-adaptive adjustment of the size of cached video segments based on their access patterns. Our goal is to efficiently utilize the limited storage resources and increase the cache hit ratio. We present the theoretical analysis to demonstrate the attainable performance of the proposed algorithm; furthermore, the integrated system design is implemented as a prototype to show its feasibility and applicability. Ultimately, emulation experiments are conducted to evaluate the achievable performance improvement more comprehensively.
Machine Vision for Industrial Robotic Manipulator using Raspberry Pi

This article discusses the development of a cylindrical object detection system that assists an industrial robotic arm using accessible technologies, for example, the embedded Raspberry Pi system, the PiCamera module and OpenCV, an open source library for development of Computer Vision System and Digital Image Processing. Distortions inherent in the digital camera lens were corrected and the homography between the robot plane and the image plane was established by applying the Direct Linear Transform (DLT) method. Experimental results indicate that a robot manipulator equipped with the proposed detection system has a maximum error in x coordinate of 2.187 mm and in y of 2.65 mm that allows the automatic capture of the target pieces.
Newton-Type Alternating Minimization Algorithm for Convex Optimization

We propose a Newton-type alternating minimization algorithm (NAMA) for solving structured nonsmooth convex optimization problems where the sum of two functions is to be minimized, one being strongly convex and the other composed with a linear mapping. The proposed algorithm is a line-search method over a continuous, real-valued, exact penalty function for the corresponding dual problem, which is computed by evaluating the augmented Lagrangian at the primal points obtained by alternating minimizations. As a consequence, NAMA relies on exactly the same computations as the classical alternating minimization algorithm (AMA), also known as the dual-proximal gradient method. Under standard assumptions, the proposed algorithm converges with global sublinear and local linear rates, while under mild additional assumptions, the asymptotic convergence is superlinear, provided that the search directions are chosen according to quasi-Newton formulas. Due to its simplicity, the proposed method is well suited for embedded applications and large-scale problems. Experiments show that using limited-memory directions in NAMA greatly improves the convergence speed over AMA and its accelerated variant.
Optimization of Cavity-backed patch array antenna using Genetic Algorithm

In this paper, optimization problem of a cavity-backed patch array antenna with low active return loss is discussed. By employing the genetic algorithm technique, active return loss is optimized. And an optimal designed cavity-backed patch array antenna is fabricated. From the measurement result, it shows an active return loss less than -8 dB within the desired bandwidth and 60 degrees of scanning angle.
Design of Feed and Radiation Elements for 22-Element Waveguide Slot Arrays by Filter Design Theory

In this paper, we present a design of a feed and a radiation element for $\mathrm {a}2 \times 2-$element waveguide slot array by filter design theory. The $2 \times 2-$element waveguide slot array is expressed by an equivalent circuit and its parameters are derived by the filter design theory. The feed and the radiation elements are designed and possibility to realize 5% fractional bandwidth is shown.
Phase Change for CP Conical Radiation from a Metaloop Antenna

It is known that the circularly polarized (CP) conical beam radiated from a spiral antenna has a phase change of 720 degrees around the antenna axis (a 2:1 phase change). This paper newly presents a metaloop antenna radiating a CP conical beam that has a nearly constant phase around the antenna axis (a 0:1 phase change). The presented antenna is fabricated by bending a metaline that radiates a CP beam. The antenna height is extremely small, on the order of 1/100 of the operating wavelength.
Business Solution for Choosing Products Using Data Warehouse in Payment Solution

In this increasingly modern world, marketing is a very interesting job. If more products are purchased by customers then the salary received is also higher. One of important issue in PT. XYZ is how to choose which products are now being sought/searched by the customer. The goal of this paper is to create a system and report that can help marketing to choose which product suitable to be offered to customer. This paper proposes a data warehouse development through methodology designed by Kimball and Ross. Furthermore, the data can be analyzed using OLAP and then displayed on the dashboard. With this business solution, PT. XYZ can process and choose what kind of products are suitable for customer relatively faster. The result shows that the system can choose which products are suitable to be offered to customer from the dashboard display.
Investigating Variances Brain Activity of Individual Intelligence with Cycling Exercise: A Preliminary Study

Mechanism of physical exercise has been studied in the context of neuroscience as researchers focused on their effect at cortical level. However, research are less emphasized on how individual capability of cognitive function regulate physiological ability while exercise. Therefore, this preliminary study intends to investigate how individuals with different level of intelligence quotient (IQ) based reasoning perform cycling exercise. The component of reasoning that is included within intelligence is constructed in the intelligence quotient (IQ) test of Raven’s Standard Progressive Matrices (RSPM) while the cycling exercise is conducted using a cycling ergometer by increasing the level of intensity. Five final year students from a similar undergraduate programme volunteered for this study. Methodology used in this preliminary study was constructed to evaluate the change of variances in brain activity between subjects that employed electroencephalogram (EEG) during assessment of IQ test and cycling exercise. The analysis of brain activity is represented by frequency of alpha (8-12Hz) and beta (15-28Hz) waves. The results from this study indicate that there were significant variances between subjects higher ranked 1st and 2nd with subject lowest ranked 5th in the alpha and beta power (p < 0.05) during IQ test. Meanwhile, significant variances (p < 0.05) in cycling exercise were showed between subject E and the rest for alpha and beta power. This preliminary study portrays subjective results for further evaluations with larger number of samples from homogenous group including factors to consider during implementation of experiment procedure of specific task-related activity to relate with individual intelligence.
Sex differences in expectations and perception of a social robot

In this paper we investigate how the human sex could influence the perception of a social robot, supposed neutral and without applying possible manipulations. In addition we explore the kind of human-like actions people expect from a robot. We analyse twelve typical stereotypically male, female and neutral tasks in order to evaluate the possible interaction between the participant's sex and the robot's sex assignment. More precisely we study which of them, people consider a social robot able to do, could be useful for humans and/or they would like the robot to perform. In this regard, we found that the robot was perceived as more suitable in terms of usefulness for communication functions which include speaking, listening, talking, consistently with the human adjectives used by the participants to describe it (amiable, exhilarated, sociable, kind, sweet and brazen). The study involves young people, aged 19 years and older, who are not familiar with robotics.